Zirui Liu - RankMe

98 papers A* 28A 2C 1Journal 58Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs. CoRR Zijie Liu, Jie Peng, Jinhao Duan, Zirui Liu, Kaixiong Zhou, Mingfu Liang, Luke Simon, Xi Liu, Zhaozhuo Xu, Tianlong Chen
2026	J	`jnl`	FlashSchNet: Fast and Accurate Coarse-Grained Neural Network Molecular Dynamics. CoRR Pingzhi Li, Hongxuan Li, Zirui Liu, Xingcheng Lin, Tianlong Chen
2025	—	`conf`	Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. EMNLP (Findings) Seyyed Saeid Cheshmi, Azal Ahmad Khan, Xinran Wang, Zirui Liu, Ali Anwar
2025	J	`jnl`	Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. CoRR Seyyed Saeid Cheshmi, Azal Ahmad Khan, Xinran Wang, Zirui Liu, Ali Anwar
2025	J	`jnl`	An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. CoRR Fangqiao Tian, An Luo, Jin Du, Xun Xian, Robert Specht, Ganghua Wang, Xuan Bi, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Rui Zhang, Zirui Liu, Mingyi Hong, Jie Ding
2025	—	`conf`	AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. EMNLP (Findings) An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025	J	`jnl`	AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. CoRR An Luo, Xun Xian, Jin Du, Fangqiao Tian, Ganghua Wang, Ming Zhong, Shengchun Zhao, Xuan Bi, Zirui Liu, Jiawei Zhou, Jayanth Srinivasa, Ashish Kundu, Charles Fleming, Mingyi Hong, Jie Ding
2025	J	`jnl`	Automating Expert-Level Medical Reasoning Evaluation of Large Language Models. CoRR Shuang Zhou, Wenya Xie, Jiaxi Li, Zaifu Zhan, Meijia Song, Han Yang, Cheyenna Espinoza, Lindsay Welton, Xinnie Mai, Yanwei Jin, Zidu Xu, Yuen-Hei Chung, Yiyun Xing, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang
2025	J	`jnl`	Automating expert-level medical reasoning evaluation of large language models. npj Digit. Medicine Shuang Zhou, Wenya Xie, Jiaxi Li, Zaifu Zhan, Meijia Song, Han Yang, Cheyenna Espinoza, Lindsay Welton, Xinnie Mai, Yanwei Jin, Zidu Xu, Yuen-Hei Chung, Yiyun Xing, Meng-Han Tsai, Emma Schaffer, Yucheng Shi, Ninghao Liu, Zirui Liu, Rui Zhang
2025	J	`jnl`	Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. CoRR Yu-Neng Chuang, Leisheng Yu, Guanchu Wang, Lizhe Zhang, Zirui Liu, Xuanting Cai, Yang Sui, Vladimir Braverman, Xia Ben Hu
2025	J	`jnl`	DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching. CoRR Zicheng Xu, Guanchu Wang, Yu-Neng Chuang, Guangyao Zheng, Alexander S. Szalay, Zirui Liu, Vladimir Braverman
2025	J	`jnl`	Deterministic Inference across Tensor Parallel Sizes That Eliminates Training-Inference Mismatch. CoRR Ziyang Zhang, Xinheng Ding, Jiayi Yuan, Rixin Liu, Huizi Mao, Jiarong Xing, Zirui Liu
2025	J	`jnl`	EPEE: Towards Efficient and Effective Foundation Models in Biomedicine. CoRR Zaifu Zhan, Shuang Zhou, Huixue Zhou, Zirui Liu, Rui Zhang
2025	J	`jnl`	Efficient GNN Explanation via Learning Removal-based Attribution. ACM Trans. Knowl. Discov. Data Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Hu
2025	A*	`conf`	Flexible Group Count Enables Hassle-Free Structured Pruning. CVPR Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary
2025	A*	`conf`	From Commands to Prompts: LLM-based Semantic File System for AIOS. ICLR Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang
2025	J	`jnl`	Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning. CoRR Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu
2025	J	`jnl`	I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. CoRR Haochen Zhang, Junze Yin, Guanchu Wang, Zirui Liu, Tianyi Zhang, Anshumali Shrivastava, Lin Yang, Vladimir Braverman
2025	A*	`conf`	Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. AAAI Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ali Payani, Ninghao Liu, Mengnan Du
2025	—	`conf`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. EMNLP (Findings) Hongyi Liu, Shaochen Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2025	J	`jnl`	Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning. CoRR Wang Yang, Zirui Liu, Hongye Jin, Qingyu Yin, Vipin Chaudhary, Xiaotian Han
2025	A*	`conf`	Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. ICML Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang
2025	J	`jnl`	Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. CoRR Mingyu Jin, Kai Mei, Wujiang Xu, Mingjie Sun, Ruixiang Tang, Mengnan Du, Zirui Liu, Yongfeng Zhang
2025	J	`jnl`	Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts. CoRR Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar
2025	J	`jnl`	Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. CoRR Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang
2025	—	`conf`	Spireeval: Transforming Gameplay into Sequential Datasets for LLM Decision-Making Analysis. ICDM (Workshops) Maxim Suslov, Shivashish Khanna, Zirui Liu
2025	J	`jnl`	Systematic Evaluation of Optimization Techniques for Long-Context Language Models. CoRR Ammar Ahmed, Sheng Di, Franck Cappello, Zirui Liu, Jingoo Han, Ali Anwar
2025	A*	`conf`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. EMNLP Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025	J	`jnl`	Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly. CoRR Wenya Xie, Shaochen Zhong, Hoang Anh Duy Le, Zhaozhuo Xu, Jianwen Xie, Zirui Liu
2025	A*	`conf`	Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. ICLR Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu
2024	J	`jnl`	Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu
2024	A*	`conf`	Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2024	J	`jnl`	FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. CoRR Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu
2024	J	`jnl`	From Commands to Prompts: LLM-based Semantic File System for AIOS. CoRR Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang
2024	A*	`conf`	GNNs Also Deserve Editing, and They Need It More Than Once. ICML Shaochen (Henry) Zhong, Duy Le, Zirui Liu, Zhimeng Jiang, Andrew Ye, Jiamu Zhang, Jiayi Yuan, Kaixiong Zhou, Zhaozhuo Xu, Jing Ma, Shuai Xu, Vipin Chaudhary, Xia Hu
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	—	`conf`	In Defense of Structural Sparse Adapters for Concurrent LLM Serving. EMNLP (Findings) Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu
2024	A*	`conf`	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. ICML Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024	J	`jnl`	KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen (Henry) Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu
2024	—	`conf`	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu
2024	J	`jnl`	KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR Jiayi Yuan, Hongyi Liu, Shaochen (Henry) Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu
2024	A*	`conf`	Knowledge Graphs Can be Learned with Just Intersection Features. ICML Duy Le, Shaochen (Henry) Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu
2024	J	`jnl`	LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	A*	`conf`	LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu
2024	—	`conf`	Learning to Compress Prompt in Natural Language Formats. NAACL-HLT Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu
2024	J	`jnl`	Learning to Compress Prompt in Natural Language Formats. CoRR Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu
2024	J	`jnl`	LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. CoRR Hongyi Liu, Shaochen (Henry) Zhong, Xintong Sun, Minghao Tian, Mohsen Hariri, Zirui Liu, Ruixiang Tang, Zhimeng Jiang, Jiayi Yuan, Yu-Neng Chuang, Li Li, Soo-Hyun Choi, Rui Chen, Vipin Chaudhary, Xia Hu
2024	J	`jnl`	PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu
2024	—	`conf`	QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu
2024	J	`jnl`	Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du
2024	A*	`conf`	Soft Prompt Recovers Compressed LLMs, Transferably. ICML Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen (Henry) Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2024	A*	`conf`	TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2024	A*	`conf`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu
2024	J	`jnl`	Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu
2024	J	`jnl`	Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. CoRR Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu
2024	J	`jnl`	Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. CoRR Wentao Guo, Jikai Long, Yimeng Zeng, Zirui Liu, Xinyu Yang, Yide Ran, Jacob R. Gardner, Osbert Bastani, Christopher De Sa, Xiaodong Yu, Beidi Chen, Zhaozhuo Xu
2023	A	`conf`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu
2023	J	`jnl`	Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2023	J	`jnl`	Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. CoRR Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava
2023	A*	`conf`	DIVISION: Memory Efficient Training via Dual Activation Precision. ICML Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2023	J	`jnl`	DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	J	`jnl`	Editable Graph Neural Network for Node Classifications. CoRR Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2023	J	`jnl`	Efficient GNN Explanation via Learning Removal-based Attribution. CoRR Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu
2023	J	`jnl`	Efficient XAI Techniques: A Taxonomic Survey. CoRR Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu
2023	J	`jnl`	LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu
2023	A*	`conf`	One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	—	`conf`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	J	`jnl`	Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu
2023	A*	`conf`	RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2023	J	`jnl`	Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	A*	`conf`	Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. NeurIPS Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023	J	`jnl`	Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu
2023	A*	`conf`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu
2023	J	`jnl`	Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A*	`conf`	An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu
2022	A*	`conf`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	J	`jnl`	DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu
2022	A*	`conf`	EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu
2022	J	`jnl`	FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2022	J	`jnl`	RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu
2022	A*	`conf`	Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2022	J	`jnl`	Towards Memory Efficient Training via Dual Activation Precision. CoRR Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2021	J	`jnl`	Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu
2021	A*	`conf`	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. ICCV Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021	J	`jnl`	DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. CoRR Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu
2021	A*	`conf`	Mitigating Gender Bias in Captioning Systems. WWW Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2021	J	`jnl`	The application of machine learning algorithms in predicting the length of stay following femoral neck fracture. Int. J. Medical Informatics Hao Zhong, Bingpu Wang, Dawei Wang, Zirui Liu, Cong Xing, Yu Wu, Qiang Gao, Shibo Zhu, Haodong Qu, Zeyu Jia, Zhigang Qu, Guangzhi Ning, Shiqing Feng
2020	A	`conf`	AutoRec: An Automated Recommender System. RecSys Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu
2020	J	`jnl`	AutoRec: An Automated Recommender System. CoRR Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu
2020	A*	`conf`	Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2020	J	`jnl`	Mitigating Gender Bias in Captioning Systems. CoRR Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu
2020	J	`jnl`	Motor Speed Signature Analysis for Local Bearing Fault Detection With Noise Cancellation Based on Improved Drive Algorithm. IEEE Trans. Ind. Electron. Ming Yang, Na Chai, Zirui Liu, Boyang Ren, Dianguo Xu
2020	J	`jnl`	Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu
2017	C	`conf`	A novel algorithm for on-line inertia identification via adaptive recursive least squares. IECON Zirui Liu, Ming Yang, Dianguo Xu