Zirui Liu

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All published works

Action	Title	Year	Authors
+ PDF Chat	LiNo: Advancing Recursive Residual Decomposition of Linear and Nonlinear Patterns for Robust Time Series Forecasting	2024	Guoqi Yu Yaoming Li Xiaoyu Guo Wang Da-yu Zirui Liu Shujun Wang Tong Yang
+ PDF Chat	Gradient Rewiring for Editable Graph Neural Network Training	2024	Zhimeng Jiang Zirui Liu Xiaotian Han Qizhang Feng Hongye Jin Qiaoyu Tan Kaixiong Zhou Na Zou Hu Xia
+ PDF Chat	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion	2024	Guanchu Wang Yu-Neng Chuang Ruixiang Tang Shaochen Zhong Jiayi Yuan Hongye Jin Zirui Liu Vipin Chaudhary Shuai Xu James Caverlee
+ PDF Chat	Robust Network Learning via Inverse Scale Variational Sparsification	2024	Zhiling Zhou Zirui Liu Chengming Xu Yanwei Fu Xinwei Sun
+ PDF Chat	INT-FlashAttention: Enabling Flash Attention for INT8 Quantization	2024	Shiyou Chen Zirui Liu Ziyan Wu Chunmiao Zheng Peizhuang Cong Zihan Jiang Yizheng Wu Lei Su Tong Yang
+ PDF Chat	Assessing and Enhancing Large Language Models in Rare Disease Question-answering	2024	Guanchu Wang Junhao Ran Ruixiang Tang Chia-Yuan Chang Chia-Yuan Chang Yu-Neng Chuang Zirui Liu Vladimir Braverman Zhandong Liu Xia Hu
+ PDF Chat	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches	2024	Jiayi Yuan Hongyi Liu Shaochen Zhong Yu-Neng Chuang Songchen Li Guanchu Wang Duy Tho Le Hongye Jin Vipin Chaudhary
+ PDF Chat	Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity	2024	Wentao Guo Jikai Long Yimeng Zeng Zirui Liu Xinyu Yang Yide Ran Jacob R. Gardner Osbert Bastani Christopher De X.P. Yu
+ PDF Chat	SimiSketch: Efficiently Estimating Similarity of streaming Multisets	2024	Fenghao Dong Yang He Yutong Liang Zirui Liu Yuhan Wu Peiqing Chen Tong Yang
+ PDF Chat	CuckooGraph: A Scalable and Space-Time Efficient Data Structure for Large-Scale Dynamic Graphs	2024	Zhuochen Fan Yalun Cai Zirui Liu Jiarui Guo Xin Fan Tong Yang Bin Cui
+ PDF Chat	Quantifying Multilingual Performance of Large Language Models Across Languages	2024	Zihao Li Yucheng Shi Zirui Liu Fan Yang Ninghao Liu Mengnan Du
+ PDF Chat	Chasing Fairness in Graphs: A GNN Architecture Perspective	2024	Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Hu Xia
+ PDF Chat	CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models	2024	Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao T. P. Zhao Tong Yang Bin Cui
+ PDF Chat	LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario	2024	Liu Hong-yi Zirui Liu Ruixiang Tang Jiayi Yuan Shaochen Zhong Yu-Neng Chuang Li Li Rui Chen Xia Hu
+ PDF Chat	Learning to Compress Prompt in Natural Language Formats	2024	Yu-Neng Chuang Tianwei Xing Chia-Yuan Chang Zirui Liu Xun Chen Xia Hu
+ PDF Chat	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache	2024	Zirui Liu Jiayi Yuan Hongye Jin Shaochen Zhong Zhaozhuo Xu Vladimir Braverman Beidi Chen Hu Xia
+	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning	2024	Hongye Jin Xiaotian Han Jingfeng Yang Zexuan Jiang Zirui Liu Chia-Yuan Chang Huiyuan Chen Xia Hu
+	FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference	2024	Zirui Liu Qingquan Song Qiang Xiao Sathiya Keerthi Selvaraj Rahul Mazumder Aman Gupta Xia Hu
+ PDF Chat	Learning to Compress Prompt in Natural Language Formats	2024	Yu-Neng Chuang Tianwei Xing Chia-Yuan Chang Zirui Liu Xun Chen Xia Hu
+ PDF Chat	Experimental Analysis of Large-Scale Learnable Vector Storage Compression	2023	Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Bin Cui
+ PDF Chat	ChameleMon: Shifting Measurement Attention as Network State Changes	2023	Kai-Cheng Yang Yuhan Wu Ruijie Miao Tong Yang Zirui Liu Zicang Xu Rui Qiu Yikai Zhao Hanglong Lv Zhigang Ji
+ PDF Chat	Adaptive Label Smoothing To Regularize Large-Scale Graph Training	2023	Kaixiong Zhou Ninghao Liu Fan Yang Zirui Liu Rui Chen Li Li Soo-Hyun Choi Xia Hu
+	ChameleMon: Shifting Measurement Attention as Network State Changes	2023	Kai-Cheng Yang Yuhan Wu Ruijie Miao Tong Yang Zirui Liu Zicang Xu Rui Qiu Yikai Zhao Hanglong Lv Zhigang Ji
+	Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity	2023	Xiaotian Han Zhimeng Jiang Hongye Jin Zirui Liu Na Zou Qifan Wang Xia Hu
+	Efficient XAI Techniques: A Taxonomic Survey	2023	Yu-Neng Chuang Guanchu Wang Fan Yang Zirui Liu Xuanting Cai Mengnan Du Xia Hu
+	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models	2023	Daochen Zha Louis Feng Liang Luo Bhargav Bhushanam Zirui Liu Yusuo Hu Jade Nie Yuzhen Huang Yuandong Tian Arun Kejariwal
+	Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt	2023	Zhaozhuo Xu Zirui Liu Beidi Chen Yuxin Tang Jue Wang Kaixiong Zhou Xia Hu Anshumali Shrivastava
+	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model	2023	Zirui Liu Guanchu Wang Shaochen Zhong Zhaozhuo Xu Daochen Zha Ruixiang Tang Zhimeng Jiang Kaixiong Zhou Vipin Chaudhary Shuai Xu
+	Editable Graph Neural Network for Node Classifications	2023	Zirui Liu Zhimeng Jiang Shaochen Zhong Kaixiong Zhou Li Li Rui Chen Soo-Hyun Choi Hu Xia
+	Efficient GNN Explanation via Learning Removal-based Attribution	2023	Yao Rong Guanchu Wang Qizhang Feng Ninghao Liu Zirui Liu Enkelejda Kasneci Xia Hu
+	Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots	2023	Ruixiang Tang Jiayi Yuan Yiming Li Zirui Liu Rui Chen Hu Xia
+	Experimental Analysis of Large-scale Learnable Vector Storage Compression	2023	Hailin Zhang Penghao Zhao Xupeng Miao Yingxia Shao Zirui Liu Tong Yang Bin Cui
+	CAFE: Towards Compact, Adaptive, and Fast Embedding for Large-scale Recommendation Models	2023	Hailin Zhang Zirui Liu Boxuan Chen Yikai Zhao Tong Zhao Tong Yang Bin Cui
+	Chasing Fairness in Graphs: A GNN Architecture Perspective	2023	Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Hu Xia
+	LETA: Learning Transferable Attribution for Generic Vision Explainer	2023	Guanchu Wang Yu-Neng Chuang Fan Yang Mengnan Du Chia-Yuan Chang Shaochen Zhong Zirui Liu Zhaozhuo Xu Kaixiong Zhou Xuanting Cai
+	FMP: Toward Fair Graph Message Passing against Topology Bias	2022	Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu
+	DIVISION: Memory Efficient Training via Dual Activation Precision	2022	Guanchu Wang Zirui Liu Zhimeng Jiang Ninghao Liu Na Zou Xia Hu
+	DreamShard: Generalizable Embedding Table Placement for Recommender Systems	2022	Daochen Zha Louis Feng Qiaoyu Tan Zirui Liu Kwei-Herng Lai Bhargav Bhushanam Yuandong Tian Arun Kejariwal Xia Hu
+	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking	2022	Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Xia Hu Zhangyang Wang
+	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations	2022	Zirui Liu Shengyuan Chen Kaixiong Zhou Daochen Zha Xiao Huang Xia Hu
+ PDF Chat	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization	2021	Zirui Liu Haifeng Jin Ting-Hsiang Wang Kaixiong Zhou Xia Hu
+ PDF Chat	Mitigating Gender Bias in Captioning Systems	2021	Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Xia Hu
+ PDF Chat	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization	2021	Zirui Liu Haifeng Jin Ting-Hsiang Wang Kaixiong Zhou Xia Hu
+	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization	2021	Zirui Liu Haifeng Jin Ting-Hsiang Wang Kaixiong Zhou Xia Hu
+ PDF Chat	AutoRec: An Automated Recommender System	2020	Ting-Hsiang Wang Hu Xia Haifeng Jin Qingquan Song Xiaotian Han Zirui Liu
+	Mitigating Gender Bias in Captioning Systems	2020	Ruixiang Tang Mengnan Du Yuening Li Zirui Liu Na Zou Xia Hu
+	AutoRec: An Automated Recommender System	2020	Ting-Hsiang Wang Qingquan Song Xiaotian Han Zirui Liu Haifeng Jin Hu Xia
+	Towards Interaction Detection Using Topological Analysis on Neural Networks	2020	Zirui Liu Qingquan Song Kaixiong Zhou Ting-Hsiang Wang Ying Shan Xia Hu

Common Coauthors

Coauthor	Papers Together
Xia Hu	25
Kaixiong Zhou	12
Hu Xia	9
Zhimeng Jiang	8
Yu-Neng Chuang	8
Na Zou	8
Ruixiang Tang	7
Shaochen Zhong	6
Xiaotian Han	6
Tong Yang	6
Chia-Yuan Chang	5
Mengnan Du	5
Bin Cui	5
Haifeng Jin	5
Zhaozhuo Xu	5
Daochen Zha	4
Yikai Zhao	4
Guanchu Wang	4
Hailin Zhang	4
Qingquan Song	4
Vipin Chaudhary	3
Guanchu Wang	3
Ali Mostafavi	3
Ninghao Liu	3
Chao Fan	3
Hongye Jin	3
Hongye Jin	3
Ting-Hsiang Wang	3
Jiayi Yuan	3
Yingxia Shao	2
Zicang Xu	2
Yuhan Wu	2
Beidi Chen	2
Gaogang Xie	2
Penghao Zhao	2
Ruijie Miao	2
Xun Chen	2
Louis Feng	2
Xiaotian Han	2
Yuening Li	2
Ting-Hsiang Wang	2
Boxuan Chen	2
Arun Kejariwal	2
Tianwei Xing	2
Jiayi Yuan	2
Bhargav Bhushanam	2
Xuanting Cai	2
Qiaoyu Tan	2
Xupeng Miao	2
Qizhang Feng	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization	2017	Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra	3
+	Graph Attention Networks	2017	Petar Veličković Guillem Cucurull Arantxa Casanova Adriana Romero Píetro Lió Yoshua Bengio	2
+ PDF Chat	Proceedings of the 25th international conference on Machine learning - ICML '08	2008		2
+ PDF Chat	Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems	2020	Caojin Zhang Yicun Liu Yuanpu Xie Sofia Ira Ktena Alykhan Tejani Akshay Gupta Pranay Kumar Myana Deepak Dilipkumar Suvadip Paul Ikuhiro Ihara	2
+	DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving	2021	Wei Deng Junwei Pan Tian Zhou Deguang Kong Aaron Flores Guang Lin	2
+ PDF Chat	Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference	2022	Zehuan Wang Yingcan Wei Minseok Lee Matthias Langer Fan Yu Jie Liu Shijie Liu Daniel G. Abel Xu Guo Jianbing Dong	2
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	2
+	Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps	2013	Karen Simonyan Andrea Vedaldi Andrew Zisserman	2
+ PDF Chat	Identifying and Reducing Gender Bias in Word-Level Language Models	2019	Shikha Bordia Samuel R. Bowman	2
+	Fairness in Deep Learning: A Computational Perspective	2020	Mengnan Du Fan Yang Na Zou Xia Hu	2
+	Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction	2020	Qingquan Song Dehua Cheng Hanning Zhou Jiyan Yang Yuandong Tian Hu Xia	2
+	Large-Scale Learnable Graph Convolutional Networks	2018	Hongyang Gao Zhengyang Wang Shuiwang Ji	2
+ PDF Chat	Binary Code based Hash Embedding for Web-scale Applications	2021	Bencheng Yan Pengjie Wang Jinquan Liu Wei Lin Kuang-Chih Lee Jian Xu Bo Zheng	2
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	2
+ PDF Chat	ConvNets and ImageNet Beyond Accuracy: Understanding Mistakes and Uncovering Biases	2018	Pierre Stock Moustapha Cissé	2
+ PDF Chat	Webly Supervised Joint Embedding for Cross-Modal Image-Text Retrieval	2018	Niluthpol Chowdhury Mithun Rameswar Panda Evangelos E. Papalexakis Amit K. Roy–Chowdhury	2
+ PDF Chat	A Comprehensive Survey of Deep Learning for Image Captioning	2019	Md. Zakir Hossain Ferdous Sohel Mohd Fairuz Shiratuddin Hamid Laga	2
+ PDF Chat	Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints	2017	Jieyu Zhao Tianlu Wang Mark Yatskar Vicente Ordóñez Kai-Wei Chang	2
+ PDF Chat	Self-Critical Sequence Training for Image Captioning	2017	Steven J. Rennie Etienne Marcheret Youssef Mroueh Jerret Ross Vaibhava Goel	2
+ PDF Chat	Tell Me Where to Look: Guided Attention Inference Network	2018	Kunpeng Li Ziyan Wu Kuan-Chuan Peng Jan Ernst Yun Fu	2
+	Auto-Keras: An Efficient Neural Architecture Search System	2019	Haifeng Jin Qingquan Song Xia Hu	2
+ PDF Chat	Distributed representations of tuples for entity resolution	2018	Muhammad Ebraheem Saravanan Thirumuruganathan Shafiq Joty Mourad Ouzzani Nan Tang	2
+ PDF Chat	Efficient Measurement on Programmable Switches Using Probabilistic Recirculation	2018	Ran Ben Basat Xiaoqi Chen Gil Einziger Ori Rottenstreich	2
+ PDF Chat	AutoInt	2019	Weiping Song Chence Shi Zhiping Xiao Zhijian Duan Yewen Xu Ming Zhang Jian Tang	2
+ PDF Chat	Long-term recurrent convolutional networks for visual recognition and description	2015	Jeff Donahue Lisa Anne Hendricks Sergio Guadarrama Marcus Rohrbach Subhashini Venugopalan Trevor Darrell Kate Saenko	2
+	Wide & Deep Learning for Recommender Systems	2016	Heng-Tze Cheng Levent Koç Jeremiah Harmsen Tal Shaked Tushar Chandra Hrishi Aradhye Glen Anderson Greg S. Corrado Wei Koong Chai Mustafa Ispir	2
+ PDF Chat	CIDEr: Consensus-based image description evaluation	2015	Ramakrishna Vedantam C. Lawrence Zitnick Devi Parikh	2
+ PDF Chat	Software-hardware co-design for fast and scalable training of deep learning recommendation models	2022	Dheevatsa Mudigere Yuchen Hao Jianyu Huang Zhihao Jia Andrew Tulloch Srinivas Sridharan Xing Liu Mustafa Özdal Jade Nie Jongsoo Park	2
+ PDF Chat	Feature hashing for large scale multitask learning	2009	Kilian Q. Weinberger Anirban Dasgupta John Langford Alex Smola Josh Attenberg	2
+ PDF Chat	HET	2021	Xupeng Miao Hailin Zhang Yining Shi Xiaonan Nie Zhi Yang Yangyu Tao Bin Cui	2
+ PDF Chat	Graph Convolutional Neural Networks for Web-Scale Recommender Systems	2018	Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton Jure Leskovec	2
+ PDF Chat	Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning	2017	Jiasen Lu Caiming Xiong Devi Parikh Richard Socher	2
+ PDF Chat	Tight Thresholds for Cuckoo Hashing via XORSAT	2010	Martin Dietzfelbinger Andreas Goerdt Michael Mitzenmacher Andrea Montanari Rasmus Pagh Michael Rink	2
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	2
+	Heavy-Hitter Detection Entirely in the Data Plane	2017	Vibhaalakshmi Sivaraman Srinivas Narayana Ori Rottenstreich S. Muthukrishnan Jennifer Rexford	2
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun	2
+	Simplifying Graph Convolutional Networks	2019	Felix Wu Tianyi Zhang Amauri H. Souza Christopher Fifty Tao Yu Kilian Q. Weinberger	2
+ PDF Chat	Object Hallucination in Image Captioning	2018	Anna Rohrbach Lisa Anne Hendricks Kaylee Burns Trevor Darrell Kate Saenko	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2
+ PDF Chat	From captions to visual concepts and back	2015	Hao Fang Saurabh Gupta Forrest Iandola Rupesh K. Srivastava Li Deng Piotr Dollár Jianfeng Gao Xiaodong He Margaret Mitchell John Platt	2
+ PDF Chat	Constant Time Updates in Hierarchical Heavy Hitters	2017	Ran Ben Basat Gil Einziger Roy Friedman Marcelo Caggiani Luizelli Erez Waisbard	2
+ PDF Chat	Women Also Snowboard: Overcoming Bias in Captioning Models	2018	Lisa Anne Hendricks Kaylee Burns Kate Saenko Trevor Darrell Anna Rohrbach	2
+ PDF Chat	Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering	2018	Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi	2
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	2
+	Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering	2016	Michaël Defferrard Xavier Bresson Pierre Vandergheynst	2
+ PDF Chat	Getting Gender Right in Neural Machine Translation	2018	Eva Vanmassenhove Christian Hardmeier Andy Way	2
+ PDF Chat	Invertible bloom lookup tables	2011	Michael T. Goodrich Michael Mitzenmacher	2
+ PDF Chat	Top-Down Neural Attention by Excitation Backprop	2017	Jianming Zhang Sarah Adel Bargal Zhe Lin Jonathan Brandt Xiaohui Shen Stan Sclaroff	2
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	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	1