Hanze Dong

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All published works

Action	Title	Year	Authors
+ PDF Chat	Offline Reinforcement Learning for LLM Multi-Step Reasoning	2024	Huaijie Wang Shibo Hao Hanze Dong Shenao Zhang Yilin Bao Ziqing Yang Yi Wu
+ PDF Chat	Entropy-Regularized Process Reward Model	2024	Hanning Zhang Pengcheng Wang Shizhe Diao Yong Lin Rui Pan Hanze Dong Dylan Zhang Pavlo Molchanov Tao Zhang
+ PDF Chat	Automatic Curriculum Expert Iteration for Reliable LLM Reasoning	2024	Zirui Zhao Hanze Dong Amrita Saha Caiming Xiong Doyen Sahoo
+ PDF Chat	MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs	2024	Lei Wang Shan Dong Yuhui Xu Hanze Dong Yalu Wang Amrita Saha Ee‐Peng Lim Caiming Xiong Doyen Sahoo
+ PDF Chat	FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation	2024	Kashun Shum Minrui Xu Jianshu Zhang Zixin Chen Shizhe Diao Hanze Dong Jipeng Zhang Muhammad Yousaf Raza
+ PDF Chat	ThinK: Thinner Key Cache by Query-Driven Pruning	2024	Yuhui Xu Zhanming Jie Hanze Dong Lei Wang Xudong Lü Aojun Zhou Amrita Saha Caiming Xiong Doyen Sahoo
+ PDF Chat	Faster Sampling via Stochastic Gradient Proximal Sampler	2024	Xunpeng Huang Difan Zou Yi-An Ma Hanze Dong Tong Zhang
+ PDF Chat	Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference	2024	Xunpeng Huang Difan Zou Hanze Dong Yi Zhang Yi-An Ma Tong Zhang
+ PDF Chat	RLHF Workflow: From Reward Modeling to Online RLHF	2024	Hanze Dong Wei Xiong Bo Pang Haoxiang Wang Han Zhao Yingbo Zhou Nan Jiang Doyen Sahoo Caiming Xiong Tong Zhang
+ PDF Chat	An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling	2024	Xunpeng Huang Hanze Dong Difan Zou Tong Zhang
+	MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance	2024	Renjie Pi Tianyang Han Yueqi Xie Rui Pan Qing Lian Hanze Dong Jipeng Zhang Tong Zhang
+	Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo	2024	Xunpeng Huang Difan Zou Hanze Dong Yi-An Ma Tong Zhang
+ PDF Chat	LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models	2024	Shizhe Diao Rui Pan Hanze Dong Kashun Shum Jipeng Zhang Xiong Wei Tong Zhang
+	Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity	2023	Xun Qian Hanze Dong Tong Zhang Peter Richtárik
+	PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium	2023	Shihong Ding Hanze Dong Cong Fang Zhouchen Lin Tong Zhang
+	RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment	2023	Hanze Dong Wei Xiong Deepanshu Goyal Rui Pan Shizhe Diao Jipeng Zhang Kashun Shum Tong Zhang
+	DetGPT: Detect What You Need via Reasoning	2023	Renjie Pi Jiahui Gao Shizhe Diao Rui Pan Hanze Dong Jipeng Zhang Lewei Yao Jianhua Han Hang Xu Lingpeng Kong
+	LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models	2023	Shizhe Diao Rui Pan Hanze Dong Ka Shun Shum Jipeng Zhang Wei Xiong Tong Zhang
+	Reverse Diffusion Monte Carlo	2023	Xunpeng Huang Hanze Dong Yifan Hao Yi-An Ma Tong Zhang
+	Spurious Feature Diversification Improves Out-of-distribution Generalization	2023	Lin Yong Tan Lu Yifan Hao Honam Wong Hanze Dong Weizhong Zhang Yujiu Yang Tong Zhang
+ PDF Chat	DetGPT: Detect What You Need via Reasoning	2023	Renjie Pi Jiahui Gao Shizhe Diao Rui Pan Hanze Dong Jipeng Zhang Lewei Yao Han Jianhua Hang Xu Lingpeng Kong
+	Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF	2023	Wei Xiong Hanze Dong Chenlu Ye Han Zhong Nan Jiang Tong Zhang
+	How Powerful is Implicit Denoising in Graph Neural Networks	2022	Songtao Liu Rex Ying Hanze Dong Lu Lin Jinghui Chen Dinghao Wu
+	Normalizing Flow with Variational Latent Representation	2022	Hanze Dong Shizhe Diao Weizhong Zhang Tong Zhang
+	Particle-based Variational Inference with Preconditioned Functional Gradient Flow	2022	Hanze Dong Xi Wang Yong Lin Tong Zhang
+ PDF Chat	Mathematical Models of Overparameterized Neural Networks	2021	Cong Fang Hanze Dong Tong Zhang
+	Local Augmentation for Graph Neural Networks	2021	Songtao Liu Hanze Dong Lanqing Li Tingyang Xu Yu Rong Peilin Zhao Junzhou Huang Dinghao Wu
+	Error Compensated Loopless SVRG, Quartz, and SDCA for Distributed Optimization	2021	Xun Qian Hanze Dong Peter Richtárik Tong Zhang
+	Weakly Supervised Disentangled Generative Causal Representation Learning	2020	Xinwei Shen Furui Liu Hanze Dong Qing Lian Zhitang Chen Tong Zhang
+ PDF Chat	Vocabulary-Informed Zero-Shot and Open-Set Learning	2019	Yanwei Fu Xiaomei Wang Hanze Dong Yu–Gang Jiang Meng Wang Xiangyang Xue Leonid Sigal
+	Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations	2019	Cong Fang Hanze Dong Tong Zhang
+	Higher-order Weighted Graph Convolutional Networks	2019	Songtao Liu Lingwei Chen Hanze Dong Zihao Wang Dinghao Wu Zengfeng Huang
+	Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective	2018	Hanze Dong Yanwei Fu Leonid Sigal Sung Ju Hwang Yu–Gang Jiang Xiangyang Xue
+	Learning the Compositional Spaces for Generalized Zero-shot Learning	2018	Hanze Dong Yanwei Fu Sung Ju Hwang Leonid Sigal Xiangyang Xue
+	Vocabulary-informed Extreme Value Learning	2017	Yanwei Fu Hanze Dong Yu-feng Ma Zhengjun Zhang Xiangyang Xue

Common Coauthors

Coauthor	Papers Together
Tong Zhang	9
Shizhe Diao	7
Jipeng Zhang	6
Xunpeng Huang	5
Yanwei Fu	4
Tong Zhang	4
Xiangyang Xue	4
Yi-An Ma	4
Doyen Sahoo	4
Difan Zou	4
Caiming Xiong	4
Tong Zhang	3
Kashun Shum	3
Wei Xiong	3
Rui Pan	3
Dinghao Wu	3
Leonid Sigal	3
Songtao Liu	3
Renjie Pi	3
Tong Zhang	3
Amrita Saha	3
Peter Richtárik	2
Lewei Yao	2
Yuhui Xu	2
Xun Qian	2
Rui Pan	2
Yu–Gang Jiang	2
Sung Ju Hwang	2
Jiahui Gao	2
Rui Pan	2
Yueqi Xie	1
Yujiu Yang	1
Yifan Hao	1
Hanning Zhang	1
Shibo Hao	1
Tong Zhang	1
Shihong Ding	1
Zhouchen Lin	1
Zengfeng Huang	1
Zhanming Jie	1
Peilin Zhao	1
Tingyang Xu	1
Minrui Xu	1
Qing Lian	1
Muhammad Yousaf Raza	1
Furui Liu	1
Lingpeng Kong	1
Jianshu Zhang	1
Qing Lian	1
Xinwei Shen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Transductive Multi-View Zero-Shot Learning	2015	Yanwei Fu Timothy M. Hospedales Tao Xiang Shaogang Gong	4
+ PDF Chat	Towards Open World Recognition	2015	Abhijit Bendale Terrance E. Boult	4
+ PDF Chat	Generalized Zero-Shot Learning via Synthesized Examples	2018	Vinay Kumar Verma Gundeep Arora Ashish Mishra Piyush Rai	3
+ PDF Chat	Feature Generating Networks for Zero-Shot Learning	2018	Yongqin Xian Tobias Lorenz Bernt Schiele Zeynep Akata	3
+ PDF Chat	Towards Open Set Deep Networks	2016	Abhijit Bendale Terrance E. Boult	3
+	Zero-Shot Learning by Convex Combination of Semantic Embeddings	2014	Mohammad Norouzi Tomáš Mikolov Samy Bengio Yoram Singer Jonathon Shlens Andrea Frome Greg S. Corrado Jay B. Dean	3
+ PDF Chat	Zero-Shot Learning — The Good, the Bad and the Ugly	2017	Yongqin Xian Bernt Schiele Zeynep Akata	3
+ PDF Chat	Prediction of search targets from fixations in open-world settings	2015	Hosnieh Sattar Sabine Müller Mario Fritz Andreas Bulling	2
+	Wasserstein GAN	2017	Martín Arjovsky Soumith Chintala Léon Bottou	2
+ PDF Chat	Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits	2020	Xialiang Dou Tengyuan Liang	2
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	2
+	Sharp Analysis for Nonconvex SGD Escaping from Saddle Points.	2019	Cong Fang Zhouchen Lin Tong Zhang	2
+	Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	2016	Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi	2
+ PDF Chat	Evaluation of output embeddings for fine-grained image classification	2015	Zeynep Akata Scott Reed Daniel Walter Honglak Lee Bernt Schiele	2
+ PDF Chat	Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks	2018	Long Chen Hanwang Zhang Jun Xiao Wei Liu Shih‐Fu Chang	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Densely Connected Convolutional Networks	2017	Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger	2
+ PDF Chat	You Only Look Once: Unified, Real-Time Object Detection	2016	Joseph Redmon Santosh Divvala Ross Girshick Ali Farhadi	2
+ PDF Chat	Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs	2017	Federico Monti Davide Boscaini Jonathan Masci Emanuele Rodolà Jan Svoboda Michael M. Bronstein	2
+	SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator	2018	Cong Fang Chris Junchi Li Zhouchen Lin Tong Zhang	2
+	Table of Percentage Points of Kolmogorov Statistics	1956	Leslie H. Miller	2
+	Graph Attention Networks	2018	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+	Escaping From Saddle Points --- Online Stochastic Gradient for Tensor Decomposition	2015	Rong Ge Furong Huang Chi Jin Yuan Yang	2
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	2
+	A kernel two-sample test	2012	Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alexander J. Smola	2
+	Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit	2019	Mei Song Theodor Misiakiewicz Andrea Montanari	2
+	Learning Transferable Features with Deep Adaptation Networks	2015	Mingsheng Long Yue Cao Jianmin Wang Michael I. Jordan	2
+ PDF Chat	Weak Convergence of Smoothed and Nonsmoothed Bootstrap Quantile Estimates	1989	Michael Falk Rolf–Dieter Reiss	2
+ PDF Chat	Synthesized Classifiers for Zero-Shot Learning	2016	Soravit Changpinyo Wei‐Lun Chao Boqing Gong Fei Sha	2
+ PDF Chat	Latent Embeddings for Zero-Shot Classification	2016	Yongqin Xian Zeynep Akata Gaurav Sharma Quynh L. Nguyen Matthias Hein Bernt Schiele	2
+ PDF Chat	A mean field view of the landscape of two-layer neural networks	2018	Mei Song Andrea Montanari Phan-Minh Nguyen	2
+ PDF Chat	Multi-modal Cycle-Consistent Generalized Zero-Shot Learning	2018	Rafael Felix B. G. Vijay Kumar Ian Reid Gustavo Carneiro	2
+ PDF Chat	An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild	2016	Wei‐Lun Chao Soravit Changpinyo Boqing Gong Fei Sha	2
+	A Convergence Theory for Deep Learning via Over-Parameterization	2018	Zeyuan Allen-Zhu Yuanzhi Li Zhao Song	2
+	LanczosNet: Multi-Scale Deep Graph Convolutional Networks	2019	Renjie Liao Zhizhen Zhao Raquel Urtasun Richard S. Zemel	2
+	Semantic Autoencoder for Zero-Shot Learning	2017	Elyor Kodirov Tao Xiang Shaogang Gong	2
+	Zero-Shot Learning Through Cross-Modal Transfer	2013	Richard Socher Milind Ganjoo Christopher D. Manning Andrew Y. Ng	2
+	Topology and Geometry of Half-Rectified Network Optimization	2016	C. Daniel Freeman Joan Bruna	2
+	Critical Points of Neural Networks: Analytical Forms and Landscape Properties	2017	Yi Zhou Yingbin Liang	2
+ PDF Chat	Transductive Zero-Shot Action Recognition by Word-Vector Embedding	2017	Xun Xu Timothy M. Hospedales Shaogang Gong	2
+	Revisiting Semi-Supervised Learning with Graph Embeddings	2016	Zhilin Yang William W. Cohen Ruslan Salakhutdinov	2
+ PDF Chat	Semi-supervised Vocabulary-Informed Learning	2016	Yanwei Fu Leonid Sigal	2
+	Extreme Value Distributions: Theory and Applications	2000	Samuel Kotz Saralees Nadarajah	2
+	Neural Tangent Kernel: Convergence and Generalization in Neural Networks	2018	Arthur Paul Jacot Franck Gabriel Clément Hongler	2
+ PDF Chat	Recent Advances in Open Set Recognition: A Survey	2020	Chuanxing Geng Sheng-Jun Huang Songcan Chen	2
+ PDF Chat	Label-Embedding for Image Classification	2015	Zeynep Akata Florent Perronnin Zaïd Harchaoui Cordelia Schmid	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Zero-Shot Learning via Semantic Similarity Embedding	2015	Ziming Zhang Venkatesh Saligrama	2
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2