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Improving Influence-based Instruction Tuning Data Selection for Balanced
Learning of Diverse Capabilities
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2025
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Qingwei Dai
Dylan Zhang
Jiaqi W. Ma
Hao Peng
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Towards Effective, Efficient and Unsupervised Social Event Detection in
the Hyperbolic Space
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2024
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Xiaoyan Yu
Yifan Wei
Shuaishuai Zhou
Zhiwei Yang
Lijun Sun
Hao Peng
Liehuang Zhu
Philip S. Yu
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A Little Goes a Long Way: Efficient Long Context Training and Inference
with Partial Contexts
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2024
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Suyu Ge
Xihui Lin
Yunan Zhang
Jiawei Han
Hao Peng
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DAMe: Personalized Federated Social Event Detection with Dual
Aggregation Mechanism
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2024
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Xiaoyan Yu
Yifan Wei
Pu Li
Shuaishuai Zhou
Hao Peng
Li Sun
Liehuang Zhu
Philip S. Yu
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Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet
Extraction
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2024
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Kun Peng
Lei Jiang
Qian Li
Haoran Li
Xiaoyan Yu
Li Sun
Shuo Sun
Yanxian Bi
Hao Peng
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MAVEN-Fact: A Large-scale Event Factuality Detection Dataset
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2024
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Chunyang Li
Hao Peng
Xiaozhi Wang
Yunjia Qi
Lei Hou
Bin Xu
Juanzi Li
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GC-Bench: An Open and Unified Benchmark for Graph Condensation
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2024
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Qingyun Sun
Z H Chen
Beining Yang
Cheng Ji
Xingcheng Fu
Sheng Zhou
Hao Peng
Jianxin Li
Philip S. Yu
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IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph
Learning
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2024
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Jiawen Qin
Haonan Yuan
Qingyun Sun
Lyujin Xu
Jiaqi Yuan
Pengfeng Huang
Zhaonan Wang
Xingcheng Fu
Hao Peng
Jianchun Li
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LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph
Clustering
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2024
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Li Sun
Zhenhao Huang
Hao Peng
Yujie Wang
Chunyang Liu
Philip S. Yu
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SeBot: Structural Entropy Guided Multi-View Contrastive Learning for
Social Bot Detection
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2024
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Yingguang Yang
Q. Wu
Buyun He
Hao Peng
Renyu Yang
Zhifeng Hao
Yong Liao
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Retrieval Head Mechanistically Explains Long-Context Factuality
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2024
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Wenhao Wu
Yizhong Wang
Guangxuan Xiao
Hao Peng
Yao Fu
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BotDGT: Dynamicity-aware Social Bot Detection with Dynamic Graph
Transformers
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2024
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Buyun He
Yingguang Yang
Qi Wu
Hao Liu
Renyu Yang
Hao Peng
Xiang Wang
Yong Liao
Pengyuan Zhou
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Relational Prompt-based Pre-trained Language Models for Social Event
Detection
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2024
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Pu Li
Xiaoyan Yu
Hao Peng
Yantuan Xian
Linqin Wang
Li Sun
Jingyun Zhang
Philip S. Yu
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Instruction-based Hypergraph Pretraining
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2024
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Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiaolong Liu
Chen Wang
Hao Peng
Philip S. Yu
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Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
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2024
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Yuecen Wei
Haonan Yuan
Xingcheng Fu
Qingyun Sun
Hao Peng
Xianxian Li
Chunming Hu
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Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
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2024
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Yuwei Cao
Hao Peng
Zhengtao Yu
Philip S. Yu
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Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
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2024
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Li Sun
Zhenhao Huang
Zixi Wang
Feiyang Wang
Hao Peng
Philip S. Yu
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Adversarial Socialbots Modeling Based on Structural Information Principles
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2024
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Xiang-Hua Zeng
Hao Peng
Angsheng Li
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MultiSPANS: A Multi-range Spatial-Temporal Transformer Network for Traffic Forecast via Structural Entropy Optimization
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2024
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Dongcheng Zou
Senzhang Wang
X. Li
Hao Peng
Yuandong Wang
Chunyang Liu
Kehua Sheng
B Zhang
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Knowledge Graph Context-Enhanced Diversified Recommendation
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2024
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Xiaolong Liu
Liangwei Yang
Zhiwei Liu
Mingdai Yang
Chen Wang
Hao Peng
Philip S. Yu
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RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
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2024
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Xusheng Zhao
Hao Peng
Qiong Dai
Xu Bai
Huailiang Peng
Yanbing Liu
Qinglang Guo
Philip S. Yu
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Unified Pretraining for Recommendation via Task Hypergraphs
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2024
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Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiaolong Liu
Chen Wang
Hao Peng
Philip S. Yu
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Data Engineering for Scaling Language Models to 128K Context
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2024
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Yao Fu
Rameswar Panda
Xinyao Niu
Xiang Yue
Hannaneh Hajishirzi
Yoon Kim
Hao Peng
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Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning
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2024
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Li Sun
Zhenhao Huang
Zixi Wang
Feiyang Wang
Hao Peng
Philip S. Yu
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Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction
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2024
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Kun Peng
Lei Jiang
Hao Peng
Rui Liu
Zhengtao Yu
Jiaqian Ren
Zhifeng Hao
Philip S. Yu
|
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LETI: Learning to Generate from Textual Interactions
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2024
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Xingyao Wang
Hao Peng
Reyhaneh Jabbarvand
Heng Ji
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Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction
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2023
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Xusheng Zhao
Hao Liu
Qiong Dai
Hao Peng
Xu Bai
Huailiang Peng
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Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning
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2023
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Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiaolong Liu
Chen Wang
Hao Peng
Philip S. Yu
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Uncertainty-Guided Boundary Learning for Imbalanced Social Event Detection
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2023
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Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Philip S. Yu
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Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation
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2023
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Yuwei Cao
Liangwei Yang
Chen Wang
Zhiwei Liu
Hao Peng
Chenyu You
Philip S. Yu
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Hierarchical State Abstraction based on Structural Information Principles
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2023
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Xianghua Zeng
Hao Peng
Angsheng Li
Chunyang Liu
Lifang He
Philip S. Yu
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Graph Collaborative Signals Denoising and Augmentation for Recommendation
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2023
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Ziwei Fan
Ke Xu
Dong Zhang
Hao Peng
Jiawei Zhang
Philip S. Yu
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Event Extraction by Associating Event Types and Argument Roles
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2023
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Qian Li
Shu Guo
Jia Wu
Jianxin Li
Jiawei Sheng
Hao Peng
Lihong Wang
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Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
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2023
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Xianghua Zeng
Hao Peng
Angsheng Li
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FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection
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2023
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Yingguang Yang
Renyu Yang
Hao Peng
Yangyang Li
Tong Li
Yong Liao
Pengyuan Zhou
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Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification
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2023
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Xingcheng Fu
Yuecen Wei
Qingyun Sun
Haonan Yuan
Jia Wu
Hao Peng
Jianxin Li
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Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation
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2023
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Ziwei Fan
Zhiwei Liu
Hao Peng
Philip S. Yu
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Unbiased and Efficient Self-Supervised Incremental Contrastive Learning
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2023
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Cheng Ji
Jianxin Li
Hao Peng
Jia Wu
Xingcheng Fu
Qingyun Sun
Philip S. Yu
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A Robust and Generalized Framework for Adversarial Graph Embedding
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2023
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Jianxin Li
Xingcheng Fu
Shijie Zhu
Hao Peng
Senzhang Wang
Qingyun Sun
Philip S. Yu
Lifang He
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Self-organization Preserved Graph Structure Learning with Principle of Relevant Information
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2023
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Qingyun Sun
Jianxin Li
Beining Yang
Xingcheng Fu
Hao Peng
Philip S. Yu
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Specializing Smaller Language Models towards Multi-Step Reasoning
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2023
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Yao Fu
Hao Peng
Litu Ou
Ashish Sabharwal
Tushar Khot
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A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT
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2023
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Ce Zhou
Qian Li
Chen Li
Jun Yu
Yixin Liu
Guangjing Wang
Kai Zhang
Cheng Ji
Qiben Yan
Lifang He
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Message passing approach to analyze the robustness of hypergraph
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2023
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Hao Peng
Qian Cheng
Dandan Zhao
Zhong Ming
Jianmin Han
Runchao Li
Wei Wang
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Effective and Stable Role-Based Multi-Agent Collaboration by Structural Information Principles
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2023
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Xianghua Zeng
Hao Peng
Angsheng Li
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Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
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2023
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Yao Fu
Hao Peng
Tushar Khot
Mirella Lapata
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LeTI: Learning to Generate from Textual Interactions
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2023
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Xingyao Wang
Hao Peng
Reyhaneh Jabbarvand
Heng Ji
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Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance
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2023
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Yao Fu
Litu Ou
Mingyu Chen
Yuhao Wan
Hao Peng
Tushar Khot
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The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation
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2023
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Hao Peng
Xiaozhi Wang
Yao Feng
Zeng Kaisheng
Lei Hou
Juanzi Li
Zhiyuan Liu
Weixing Shen
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KoLA: Carefully Benchmarking World Knowledge of Large Language Models
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2023
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Jifan Yu
Xiaozhi Wang
Shangqing Tu
Shulin Cao
Daniel Zhang-Li
Xin Lv
Hao Peng
Zijun Yao
Xiaohan Zhang
Hanming Li
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Transparency Helps Reveal When Language Models Learn Meaning
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2023
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Zhaofeng Wu
William Merrill
Hao Peng
Iz Beltagy
Noah A. Smith
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OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding
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2023
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Hao Peng
Xiaozhi Wang
Yao Feng
Zimu Wang
Chuzhao Zhu
Kaisheng Zeng
Lei Hou
Juanzi Li
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CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
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2023
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Lifan Yuan
Yangyi Chen
Xingyao Wang
Yi Fung
Hao Peng
Heng Ji
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TRAM: Bridging Trust Regions and Sharpness Aware Minimization
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2023
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Tom Sherborne
Naomi Saphra
Pradeep Dasigi
Hao Peng
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Multi-omics Sampling-based Graph Transformer for Synthetic Lethality Prediction
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2023
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Xusheng Zhao
Hao Liu
Qiong Dai
Hao Peng
Xu Bai
Huailiang Peng
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+
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Unified Pretraining for Recommendation via Task Hypergraphs
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2023
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Mingdai Yang
Zhiwei Liu
Liangwei Yang
Xiaolong Liu
Chen Wang
Hao Peng
Philip S. Yu
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Language Models Hallucinate, but May Excel at Fact Verification
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2023
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Jian Guan
Jesse Dodge
David Wadden
Minlie Huang
Hao Peng
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+
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Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection
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2023
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Jiaqian Ren
Hao Peng
Lei Jiang
Zhiwei Liu
Jia Wu
Zhengtao Yu
Philip S. Yu
|
+
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RDGCN: Reinforced Dependency Graph Convolutional Network for Aspect-based Sentiment Analysis
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2023
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Xusheng Zhao
Hao Peng
Qiong Dai
Xu Bai
Huailiang Peng
Yanbing Liu
Qinglang Guo
Philip S. Yu
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When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
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2023
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Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Yunjia Qi
Zimu Wang
Zhili Wu
Kaisheng Zeng
Xu Bin
Lei Hou
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MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation
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2023
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Xiaozhi Wang
Hao Peng
Yong Guan
Kaisheng Zeng
Jianhui Chen
Lei Hou
Xu Han
Yankai Lin
Zhiyuan Liu
Ruobing Xie
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Prompt Based Tri-Channel Graph Convolution Neural Network for Aspect Sentiment Triplet Extraction
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2023
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Kun Peng
Lei Jiang
Hao Peng
Rui Liu
Zhengtao Yu
Jiaqian Ren
Zhifeng Hao
Philip S. Yu
|
+
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Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection
|
2023
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Yuwei Cao
Hao Peng
Zhengtao Yu
Philip S. Yu
|
+
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Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
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2023
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Yuecen Wei
Haonan Yuan
Xingcheng Fu
Qingyun Sun
Hao Peng
Xianxian Li
Chunming Hu
|
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Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation
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2022
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Hongyin Zhu
Hao Peng
Zhiheng Lyu
Lei Hou
Juanzi Li
Jinghui Xiao
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Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming
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2022
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Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao Li
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A Survey on Deep Learning Event Extraction: Approaches and Applications
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2022
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Qian Li
Jianxin Li
Jiawei Sheng
Shiyao Cui
Jia Wu
Yiming Hei
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
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Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation
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2022
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Yuecen Wei
Xingcheng Fu
Qingyun Sun
Hao Peng
Jia Wu
Jinyan Wang
Xianxian Li
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PDF
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Automating DBSCAN via Deep Reinforcement Learning
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2022
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Ruitong Zhang
Hao Peng
Yingtong Dou
Jia Wu
Qingyun Sun
Yangyang Li
Jingyi Zhang
Philip S. Yu
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PDF
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Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
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2022
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Jiaqian Ren
Lei Jiang
Hao Peng
Lingjuan Lyu
Zhiwei Liu
Chaochao Chen
Jia Wu
Xu Bai
Philip S. Yu
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PDF
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Attend and select: A segment selective transformer for microblog hashtag generation
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2022
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Qianren Mao
Xi Li
Bang Liu
Shu Guo
Hao Peng
Jianxin Li
Lihong Wang
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PDF
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Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
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2022
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Jiaqian Ren
Lei Jiang
Hao Peng
Zhiwei Liu
Jia Wu
Philip S. Yu
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PDF
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A Self-Supervised Mixed-Curvature Graph Neural Network
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2022
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Li Sun
Zhongbao Zhang
Junda Ye
Hao Peng
Jiawei Zhang
Sen Su
Philip S. Yu
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PDF
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Graph Structure Learning with Variational Information Bottleneck
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2022
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Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Xingcheng Fu
Cheng Ji
Philip S. Yu
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PDF
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Federated Multi-view Learning for Private Medical Data Integration and Analysis
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2022
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Sicong Che
Zhaoming Kong
Hao Peng
Lichao Sun
Alex Leow
Yong Chen
Lifang He
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Multi-View Tensor Graph Neural Networks Through Reinforced Aggregation
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2022
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Xusheng Zhao
Qiong Dai
Jia Wu
Hao Peng
Mingsheng Liu
Xu Bai
Jianlong Tan
Senzhang Wang
Philip S. Yu
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PDF
Chat
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Tailor: Generating and Perturbing Text with Semantic Controls
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2022
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Alexis Ross
Tongshuang Wu
Hao Peng
Matthew N. Peters
Matt Gardner
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Multimodal Entity Tagging with Multimodal Knowledge Base
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2022
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Hao Peng
Hang Li
Lei Hou
Juanzi Li
Chao Qiao
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PDF
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XLTime: A Cross-Lingual Knowledge Transfer Framework for Temporal Expression Extraction
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2022
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Yuwei Cao
William A. Groves
Tanay Kumar Saha
Joel Tetreault
Alejandro Jaimes
Hao Peng
Philip S. Yu
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Incremental Measurement of Structural Entropy for Dynamic Graphs
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2022
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Runze Yang
Hao Peng
Angsheng Li
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From Known to Unknown: Quality-aware Self-improving Graph Neural Network for Open Set Social Event Detection
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2022
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Jiaqian Ren
Lei Jiang
Hao Peng
Yuwei Cao
Jia Wu
Philip S. Yu
Lifang He
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Towards Unsupervised Deep Graph Structure Learning
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2022
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Yixin Liu
Yu Zheng
Daokun Zhang
Hongxu Chen
Hao Peng
Shirui Pan
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Cross-Network Social User Embedding with Hybrid Differential Privacy Guarantees
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2022
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Jiaqian Ren
Lei Jiang
Hao Peng
Lingjuan Lyu
Zhiwei Liu
Chaochao Chen
Jia Wu
Xu Bai
Philip S. Yu
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Spatiotemporal Transformer Attention Network for 3D Voxel Level Joint Segmentation and Motion Prediction in Point Cloud
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2022
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Zhensong Wei
Xuewei Qi
Zhengwei Bai
Guoyuan Wu
Saswat Nayak
Hao Peng
Matthew Barth
Yongkang Liu
Kentaro Oguchi
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Automating DBSCAN via Deep Reinforcement Learning
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2022
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Ruitong Zhang
Hao Peng
Yingtong Dou
Jia Wu
Qingyun Sun
Jingyi Zhang
Philip S. Yu
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Complexity-Based Prompting for Multi-Step Reasoning
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2022
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Yao Fu
Hao Peng
Ashish Sabharwal
Peter Clark
Tushar Khot
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BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
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2022
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Kay Liu
Yingtong Dou
Yue Zhao
Xueying Ding
Xiyang Hu
Ruitong Zhang
Kaize Ding
Canyu Chen
Hao Peng
Kai Shu
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Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory
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2022
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Jiaqian Ren
Lei Jiang
Hao Peng
Zhiwei Liu
Jia Wu
Philip S. Yu
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How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers
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2022
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Michael Hassid
Hao Peng
Daniel Rotem
Jungo Kasai
Ivan Montero
Noah A. Smith
Roy Schwartz
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COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
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2022
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Hao Peng
Xiaozhi Wang
Shengding Hu
Hailong Jin
Lei Hou
Juanzi Li
Zhiyuan Liu
Qun Liu
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MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
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2022
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Xiaozhi Wang
Yulin Chen
Ning Ding
Hao Peng
Zimu Wang
Yankai Lin
Xu Han
Lei Hou
Juanzi Li
Zhiyuan Liu
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The Gender Gap in Scholarly Self-Promotion on Social Media
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2022
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Hao Peng
Misha Teplitskiy
Daniel M. Romero
Emőke-Ágnes Horvát
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Radio continuum and OH line emission of high-z OH megamaser galaxies
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2022
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Zhongzu Wu
Yu. V. Sotnikova
Bo Zhang
Т. В. Муфахаров
Ming Zhu
Peng Jiang
Yong‐Jun Chen
Zhi-Qiang Shen
Chunwen Sun
Hao Peng
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Generation of subcycle isolated attosecond pulses by pumping ionizing gating
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2022
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haohui Wu
Hao Peng
Xiaoming Zeng
Zhaoli Li
Zhimeng Zhang
Xiaodong Wang
Bilong Hu
Xiao Wang
Jie Mu
Yanlei Zuo
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Recent Advancements of Artificial Intelligence in Particle Therapy
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2022
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Hao Peng
Chao Wu
Dan Nguyen
Jan Schuemann
Andrea Mairani
Yuehu Pu
Steve Jiang
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COPEN: Probing Conceptual Knowledge in Pre-trained Language Models
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2022
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Hao Peng
Xiaozhi Wang
Shengding Hu
Hailong Jin
Lei Hou
Juanzi Li
Zhiyuan Liu
Qun Liu
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Chat
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MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction
|
2022
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Xiaozhi Wang
Yulin Chen
Ning Ding
Hao Peng
Zimu Wang
Yankai Lin
Xu Han
Lei Hou
Juanzi Li
Zhiyuan Liu
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How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers
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2022
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Michael Hassid
Hao Peng
Daniel Rotem
Jungo Kasai
Ivan Montero
Noah A. Smith
Roy Schwartz
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Reinforcement Learning-Based Dialogue Guided Event Extraction to Exploit Argument Relations
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2021
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Qian Li
Hao Peng
Jianxin Li
Jia Wu
Yuanxing Ning
Lihong Wang
Philip S. Yu
Zheng Wang
|
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PDF
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Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
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2021
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Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
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ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
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2021
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Xingcheng Fu
Jianxin Li
Jia Wu
Qingyun Sun
Cheng Ji
Senzhang Wang
Jiajun Tan
Hao Peng
Philip S. Yu
|
+
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Pre-training Recommender Systems via Reinforced Attentive
Multi-relational Graph Neural Network
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2021
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Xiaohan Li
Zhiwei Liu
Stephen Guo
Zheng Liu
Hao Peng
Philip S. Yu
Kannan Achan
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Differentially Private Federated Knowledge Graphs Embedding
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2021
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Hao Peng
Haoran Li
Yangqiu Song
Vincent W. Zheng
Jianxin Li
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ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network
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2021
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Xingcheng Fu
Jianxin Li
Jia Wu
Qingyun Sun
Cheng Ji
Senzhang Wang
Jiajun Tan
Hao Peng
Philip S. Yu
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Hawk: Rapid Android Malware Detection Through Heterogeneous Graph Attention Networks
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2021
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Yiming Hei
Renyu Yang
Hao Peng
Lihong Wang
Xiaolin Xu
Jianwei Liu
Hong Liu
Jie Xu
Lichao Sun
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HAWK: Rapid Android Malware Detection through Heterogeneous Graph
Attention Networks
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2021
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Yiming Hei
Renyu Yang
Hao Peng
Lihong Wang
Xiaolin Xu
Jianwei Liu
Hong Liu
Jie Xu
Lichao Sun
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Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
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2021
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Gongxu Luo
Jianxin Li
Hao Peng
Carl Yang
Lichao Sun
Philip S. Yu
Lifang He
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Deep Learning Schema-based Event Extraction: Literature Review and Current Trends.
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2021
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Qian Li
Hao Peng
Jianxin Li
Yiming Hei
Rui Sun
Jiawei Sheng
Shu Guo
Lihong Wang
Philip S. Yu
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A Comprehensive Survey on Schema-based Event Extraction with Deep Learning
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2021
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Qian Li
Hao Peng
Jianxin Li
Yiming Hei
Rui Sun
Jiawei Sheng
Shu Guo
Lihong Wang
Jia Wu
Amin Beheshti
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Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation
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2021
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Qianren Mao
Xi Li
Hao Peng
Bang Liu
Shu Guo
Jianxin Li
Lihong Wang
Philip S. Yu
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Adversarial Directed Graph Embedding
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2021
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Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
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PDF
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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
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2021
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Liu Ye
Yao Wan
Lifang He
Hao Peng
Philip S. Yu
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Federated Knowledge Graphs Embedding.
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2021
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Hao Peng
Haoran Li
Yangqiu Song
Vincent W. Zheng
Jianxin Li
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PDF
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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
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2021
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Hao Peng
Jianxin Li
Yangqiu Song
Renyu Yang
Rajiv Ranjan
Philip S. Yu
Lifang He
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Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
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2021
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Yuwei Cao
Hao Peng
Jia Wu
Yingtong Dou
Jianxin Li
Philip S. Yu
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PDF
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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
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2021
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Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Yuanxing Ning
Philip S. Yu
Lifang He
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Federated Depression Detection from Multi-SourceMobile Health Data.
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2021
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Xiaohang Xu
Hao Peng
Lichao Sun
Yan Niu
Hongyuan Ma
Lianzhong Liu
Lifang He
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Privacy-Preserving Federated Depression Detection from Multi-Source Mobile Health Data
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2021
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Xiaohang Xu
Hao Peng
Lichao Sun
Md Zakirul Alam Bhuiyan
Lianzhong Liu
Lifang He
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SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism
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2021
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Qingyun Sun
Jianxin Li
Hao Peng
Jia Wu
Yuanxing Ning
P.S. Yu
Lifang He
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Heterogeneous Similarity Graph Neural Network on Electronic Health Records
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2021
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Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
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FedMood: Federated Learning on Mobile Health Data for Mood Detection
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2021
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Xiaohang Xu
Hao Peng
Lichao Sun
Md Zakirul Alam Bhuiyan
Lianzhong Liu
Lifang He
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KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
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2021
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Yiying Yang
Xi Yin
Haiqin Yang
Xingjian Fei
Hao Peng
Kaijie Zhou
Kunfeng Lai
Jianping Shen
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Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs
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2021
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Li Sun
Zhongbao Zhang
Jiawei Zhang
Feiyang Wang
Hao Peng
Sen Su
Philip S. Yu
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Streaming Social Event Detection and Evolution Discovery in Heterogeneous Information Networks
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2021
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Hao Peng
Jianxin Li
Yangqiu Song
Renyu Yang
Rajiv Ranjan
Philip S. Yu
Lifang He
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HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
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2021
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Zhongfen Deng
Hao Peng
Dongxiao He
Jianxin Li
Philip S. Yu
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Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
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2021
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Hao Peng
Ruitong Zhang
Yingtong Dou
Renyu Yang
Jingyi Zhang
Philip S. Yu
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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
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2021
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Jianxin Li
Hao Peng
Yuwei Cao
Yingtong Dou
Hekai Zhang
Philip S. Yu
Lifang He
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KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph
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2021
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Yiying Yang
Xi Yin
Haiqin Yang
Xingjian Fei
Hao Peng
Kaijie Zhou
Kunfeng Lai
Jianping Shen
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Graph Entropy Guided Node Embedding Dimension Selection for Graph Neural Networks
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2021
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Gongxu Luo
Jianxin Li
Hao Peng
Carl Yang
Lichao Sun
Philip S. Yu
Lifang He
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A Robust and Generalized Framework for Adversarial Graph Embedding
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2021
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Jianxin Li
Xingcheng Fu
Hao Peng
Senzhang Wang
Shijie Zhu
Qingyun Sun
Philip S. Yu
Lifang He
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+
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Noised Consistency Training for Text Summarization
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2021
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Junnan Liu
Qianren Mao
Bang Liu
Hao Peng
Hongdong Zhu
Jianxin Li
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PDF
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HTCInfoMax: A Global Model for Hierarchical Text Classification via Information Maximization
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2021
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Zhongfen Deng
Hao Peng
Dongxiao He
Jianxin Li
Philip S. Yu
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Transferring Knowledge Distillation for Multilingual Social Event Detection
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2021
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Jiaqian Ren
Hao Peng
Lei Jiang
Jia Wu
Yongxin Tong
Lihong Wang
Xu Bai
Bo Wang
Qiang Yang
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HAWK: Rapid Android Malware Detection through Heterogeneous Graph Attention Networks
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2021
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Yiming Hei
Renyu Yang
Hao Peng
Lihong Wang
Xiaolin Xu
Jianwei Liu
Hong Liu
Jie Xu
Lichao Sun
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Event Extraction by Associating Event Types and Argument Roles
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2021
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Qian Li
Shu Guo
Jia Wu
Jianxin Li
Jiawei Sheng
Lihong Wang
Xiaohan Dong
Hao Peng
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TravelBERT: Pre-training Language Model Incorporating Domain-specific Heterogeneous Knowledge into A Unified Representation
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2021
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Hongyin Zhu
Hao Peng
Zhiheng Lyu
Lei Hou
Juanzi Li
Jinghui Xiao
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PDF
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Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
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2021
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Jianxin Li
Hao Peng
Yuwei Cao
Yingtong Dou
Hekai Zhang
Philip S. Yu
Lifang He
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Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming
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2021
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Yizhen Zheng
Ming Jin
Shirui Pan
Yuan-Fang Li
Hao Peng
Ming Li
Zhao Li
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Tailor: Generating and Perturbing Text with Semantic Controls
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2021
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Alexis Ross
Tongshuang Wu
Hao Peng
Matthew E. Peters
Matt Gardner
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A Survey on Deep Learning Event Extraction: Approaches and Applications
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2021
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Qian Li
Jianxin Li
Jiawei Sheng
Shiyao Cui
Jia Wu
Yiming Hei
Hao Peng
Shu Guo
Lihong Wang
Amin Beheshti
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A Self-supervised Mixed-curvature Graph Neural Network
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2021
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Li Sun
Zhongbao Zhang
Junda Ye
Hao Peng
Jiawei Zhang
Sen Su
Philip S. Yu
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Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations
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2021
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Qian Li
Hao Peng
Jianxin Li
Jia Wu
Yuanxing Ning
Lihong Wang
Philip S. Yu
Zheng Wang
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Federated Multi-View Learning for Private Medical Data Integration and Analysis
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2021
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Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
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ABC: Attention with Bounded-memory Control
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2021
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Hao Peng
Jungo Kasai
Νικόλαος Παππάς
Dani Yogatama
Zhaofeng Wu
Lingpeng Kong
Roy Schwartz
Noah A. Smith
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Heterogeneous Similarity Graph Neural Network on Electronic Health Records
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2020
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Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
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PDF
Chat
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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
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2020
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Qingyun Sun
Hao Peng
Jianxin Li
Senzhang Wang
Xiangyun Dong
Liangxuan Zhao
Philip S. Yu
Lifang He
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PDF
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Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
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2020
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Yingtong Dou
Zhiwei Liu
Li Sun
Yutong Deng
Hao Peng
Philip S. Yu
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Kalman Filtering Attention for User Behavior Modeling in CTR Prediction
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2020
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Hu Liu
Jing Lu
Xiwei Zhao
Sulong Xu
Hao Peng
Yutong Liu
Zehua Zhang
Jian Li
Junsheng Jin
Yongjun Bao
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PDF
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Dynamic network embedding via incremental skip-gram with negative sampling
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2020
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Hao Peng
Jianxin Li
Hao Yan
Qiran Gong
Senzhang Wang
Lin Liu
Lihong Wang
Xiang Ren
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A Text Classification Survey: From Shallow to Deep Learning
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2020
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Qian Li
Hao Peng
Jianxin Li
Congyin Xia
Renyu Yang
Lichao Sun
Philip S. Yu
Lifang He
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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
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2020
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Jibing Gong
Shen Wang
Jinlong Wang
Wenzheng Feng
Hao Peng
Jie Tang
Philip S. Yu
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Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
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2020
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Zhiwei Liu
Yingtong Dou
Philip S. Yu
Yutong Deng
Hao Peng
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PDF
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Modeling relation paths for knowledge base completion via joint adversarial training
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2020
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Chen Li
Xutan Peng
Shanghang Zhang
Hao Peng
Philip S. Yu
Min He
Linfeng Du
Lihong Wang
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A Mixture of $h-1$ Heads is Better than $h$ Heads
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2020
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Hao Peng
Roy Schwartz
Dianqi Li
Noah A. Smith
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+
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A Mixture of h - 1 Heads is Better than h Heads
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2020
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Hao Peng
Roy Schwartz
Dianqi Li
Noah A. Smith
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+
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Attentional Graph Convolutional Networks for Knowledge Concept Recommendation in MOOCs in a Heterogeneous View
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2020
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Shen Wang
Jibing Gong
Jinlong Wang
Wenzheng Feng
Hao Peng
Jie Tang
Philip S. Yu
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A Survey on Text Classification: From Shallow to Deep Learning
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2020
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Qian Li
Hao Peng
Jianxin Li
Congying Xia
Renyu Yang
Lichao Sun
Philip S. Yu
Lifang He
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+
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Adversarial Directed Graph Embedding
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2020
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Shijie Zhu
Jianxin Li
Hao Peng
Senzhang Wang
Lifang He
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+
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Pairwise Learning for Name Disambiguation in Large-Scale Heterogeneous Academic Networks
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2020
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Qingyun Sun
Hao Peng
Jianxin Li
Senzhang Wang
Xiangyu Dong
Liangxuan Zhao
Philip S. Yu
Lifang He
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+
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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning
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2020
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Liu Ye
Yao Wan
Lifang He
Hao Peng
Philip S. Yu
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+
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Learning from Context or Names? An Empirical Study on Neural Relation Extraction
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2020
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Hao Peng
Tianyu Gao
Xu Han
Yankai Lin
Peng Li
Zhiyuan Liu
Maosong Sun
Jie Zhou
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Heuristic Semi-Supervised Learning for Graph Generation Inspired by Electoral College
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2020
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Chen Li
Xutan Peng
Hao Peng
Jianxin Li
Lihong Wang
Philip S. Yu
Lifang He
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+
PDF
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Learning from Context or Names? An Empirical Study on Neural Relation Extraction
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2020
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Hao Peng
Tianyu Gao
Xu Han
Yankai Lin
Peng Li
Zhiyuan Liu
Maosong Sun
Jie Zhou
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PDF
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Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
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2020
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Zhongfen Deng
Hao Peng
Congying Xia
Jianxin Li
Lifang He
Philip L. H. Yu
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More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction
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2020
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Xu Han
Tianyu Gao
Yankai Lin
Hao Peng
Yaoliang Yang
Chaojun Xiao
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
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+
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Hierarchical Bi-Directional Self-Attention Networks for Paper Review Rating Recommendation
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2020
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Zhongfen Deng
Hao Peng
Congying Xia
Jianxin Li
Lifang He
Philip S. Yu
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+
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Author Mentions in Science News Reveal Widespread Disparities Across Name-inferred Ethnicities
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2020
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Hao Peng
Misha Teplitskiy
David Jurgens
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Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
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2019
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Hao Peng
Jianxin Li
Senzhang Wang
Lihong Wang
Qiran Gong
Renyu Yang
Bo Li
Philip S. Yu
Lifang He
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Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
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2019
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Hao Peng
Jianxin Li
Qiran Gong
Yangqiu Song
Yuanxin Ning
Kunfeng Lai
Philip S. Yu
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PDF
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Understanding Beauty via Deep Facial Features
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2019
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Xudong Liu
Tao Li
Hao Peng
Iris Chuoying Ouyang
Tae-Hwan Kim
Ruizhe Wang
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Dynamic Network Embedding via Incremental Skip-gram with Negative Sampling
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2019
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Hao Peng
Jianxin Li
Hao Yan
Qiran Gong
Senzhang Wang
Lin Liu
Lihong Wang
Xiang Ren
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+
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Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks
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2019
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Hao Peng
Jianxin Li
Qiran Gong
Yangqiu Song
Yuanxing Ning
Kunfeng Lai
Philip S. Yu
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+
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Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification
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2019
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Hao Peng
Jianxin Li
Qiran Gong
Senzhang Wang
Lifang He
Bo Li
Lihong Wang
Philip S. Yu
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+
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HeteSpaceyWalk: A Heterogeneous Spacey Random Walk for Heterogeneous Information Network Embedding
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2019
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Yu He
Yangqiu Song
Jianxin Li
Cheng Ji
Jian Peng
Hao Peng
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RWNE: A Scalable Random-Walk-Based Network Embedding Framework with Personalized Higher-Order Proximity Preserved
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2019
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Yu He
Jianxin Li
Yangqiu Song
Xinmiao Zhang
Fanzhang Peng
Hao Peng
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Raman sideband cooling of $^{25}$Mg$^+$ -$^{27}$Al$^+$ ions pair and observation of quantum logic spectra
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2019
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Hongli Liu
Ze-Tian Xu
Zhiyu Ma
Wenzhe Wei
Hao Peng
Wenhao Yuan
Huang Che
Feihu Cheng
Zhiyuan Wang
Ke Deng
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Graph Convolutional Neural Networks via Motif-based Attention.
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2018
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Hao Peng
Jianxin Li
Qiran Gong
Yuanxing Ning
Lihong Wang
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Backpropagating through Structured Argmax using a SPIGOT
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2018
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Hao Peng
Sam Thomson
Noah A. Smith
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Backpropagating through Structured Argmax using a SPIGOT
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2018
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Hao Peng
Sam Thomson
Noah A. Smith
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+
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Graph Convolutional Neural Networks via Motif-based Attention
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2018
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Hao Peng
Jianxin Li
Qiran Gong
Senzhang Wang
Yuanxing Ning
Philip S. Yu
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+
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A Convolutional Attention Network for Extreme Summarization of Source Code
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2016
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Miltiadis Allamanis
Hao Peng
Charles Sutton
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A Convolutional Attention Network for Extreme Summarization of Source Code
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2016
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Miltiadis Allamanis
Hao Peng
Charles Sutton
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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
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2015
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Hao Peng
Lili Mou
Ge Li
Yunchuan Chen
Yangyang Lu
Zhi Jin
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PDF
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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
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2015
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Hao Peng
Lili Mou
Ge Li
Yunchuan Chen
Yangyang Lu
Zhi Jin
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Building Program Vector Representations for Deep Learning
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2014
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Lili Mou
Ge Li
Yuxuan Liu
Hao Peng
Zhi Jin
Yan Xu
Lu Zhang
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On Frankl and Furedi's conjecture for 3-uniform hypergraphs
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2012
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Qingsong Tang
Hao Peng
Cailing Wang
Yuejian Peng
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Time Evolution of Temperature and Entropy of a Gravitationally Collapsing Cylinder
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2011
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Evan Halstead
Hao Peng
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