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ORCIDZirui Liu 0001
Zirui (Ray) Liu
Person information
- affiliation: University of Minnesota, Minneapolis, MN, USA
- affiliation (PhD 2024): Rice University, Houston, TX, USA
- affiliation (2019 - 2021): Texas A&M University, College Station, TX, USA
- affiliation (former): Harbin Institute of Technology, School of Electrical Engineering and Automation, China
Other persons with the same name
- Zirui Liu 0002
![[0000-0001-9062-6565]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9062-6565")
— Peking University, School of Computer Science, National Key Laboratory for Multimedia Information Processing, Beijing, China - Zirui Liu 0003 — University College London, Department of Speech, Hearing and Phonetic Sciences, UK
- Zirui Liu 0004 — Huazhong University of Science and Technology, State Key Laboratory of High Density Electrical Energy Conversion, Wuhan, China
- Zirui Liu 0005 — Chinese Academy of Sciences, Institute of Atmospheric Physics, Beijing, China
- Zirui Liu 0006 — Bank of Dalian, China
- Zirui Liu 0007 — State Grid Shaanxi Electric Power Company, Xi'an, China
- Zirui Liu 0008 — Hunan Diantou Education Technology Company Ltd., Changsha, China (and 1 more)
- Zirui Liu 0009 — Shanghai Jiao Tong University, China
- Zirui Liu 0010 — University of Science and Technology of China, Hefei, China
- Zirui Liu 0011 — Chengdu Jincheng College, Department of Software Engineering, China
- Zirui Liu 0012 — Fudan University, School of Data Science, Shanghai, China
- Zirui Liu 0013 — Shanghai Ocean University, College of Engineering Science and Technology, China
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2020 – today
- 2024
[j5]Zirui Liu, Qingquan Song, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu:
PME: pruning-based multi-size embedding for recommender systems. Frontiers Big Data 6 (2024)- [c30]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI 2024: 21214-21222 - [c29]Chuang Zhou, Junnan Dong, Xiao Huang, Zirui Liu, Kaixiong Zhou, Zhaozhuo Xu:
QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. EMNLP (Findings) 2024: 3929-3940 - [c28]Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Ben Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. EMNLP (Findings) 2024: 4623-4648 - [c27]Junda Su, Zirui Liu, Zeju Qiu, Weiyang Liu, Zhaozhuo Xu:
In Defense of Structural Sparse Adapters for Concurrent LLM Serving. EMNLP (Findings) 2024: 4948-4953 - [c26]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Ben Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. EMNLP 2024: 6928-6941 - [c25]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu:
LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. ICML 2024 - [c24]Duy Le, Shaochen Zhong, Zirui Liu, Shuai Xu, Vipin Chaudhary, Kaixiong Zhou, Zhaozhuo Xu:
Knowledge Graphs Can be Learned with Just Intersection Features. ICML 2024 - [c23]Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu:
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. ICML 2024 - [c22]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
TVE: Learning Meta-attribution for Transferable Vision Explainer. ICML 2024 - [c21]Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava:
Soft Prompt Recovers Compressed LLMs, Transferably. ICML 2024 - [c20]Shaochen 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:
GNNs Also Deserve Editing, and They Need It More Than Once. ICML 2024 - [c19]Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Ben Hu:
Learning to Compress Prompt in Natural Language Formats. NAACL-HLT 2024: 7756-7767 - [c18]Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu:
Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS 2024 - [i33]Hongye Jin, Xiaotian Han, Jingfeng Yang, Zhimeng Jiang, Zirui Liu, Chia-Yuan Chang, Huiyuan Chen, Xia Hu:
LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. CoRR abs/2401.01325 (2024) - [i32]Zirui Liu, Qingquan Song, Qiang Charles Xiao, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Xia Hu:
FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. CoRR abs/2401.04044 (2024) - [i31]Zirui Liu, Jiayi Yuan, Hongye Jin, Shaochen Zhong, Zhaozhuo Xu, Vladimir Braverman, Beidi Chen, Xia Hu:
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. CoRR abs/2402.02750 (2024) - [i30]Yu-Neng Chuang, Tianwei Xing, Chia-Yuan Chang, Zirui Liu, Xun Chen, Xia Hu:
Learning to Compress Prompt in Natural Language Formats. CoRR abs/2402.18700 (2024) - [i29]Hongyi Liu, Zirui Liu, Ruixiang Tang, Jiayi Yuan, Shaochen Zhong, Yu-Neng Chuang, Li Li, Rui Chen, Xia Hu:
LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario. CoRR abs/2403.00108 (2024) - [i28]Zihao Li, Yucheng Shi, Zirui Liu, Fan Yang, Ninghao Liu, Mengnan Du:
Quantifying Multilingual Performance of Large Language Models Across Languages. CoRR abs/2404.11553 (2024) - [i27]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:
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. CoRR abs/2406.02913 (2024) - [i26]Jiayi Yuan, Hongyi Liu, Shaochen Zhong, Yu-Neng Chuang, Songchen Li, Guanchu Wang, Duy Le, Hongye Jin, Vipin Chaudhary, Zhaozhuo Xu, Zirui Liu, Xia Hu:
KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. CoRR abs/2407.01527 (2024) - [i25]Guanchu Wang, Junhao Ran, Ruixiang Tang, Chia-Yuan Chang, Yu-Neng Chuang, Zirui Liu, Vladimir Braverman, Zhandong Liu, Xia Hu:
Assessing and Enhancing Large Language Models in Rare Disease Question-answering. CoRR abs/2408.08422 (2024) - [i24]Guanchu Wang, Yu-Neng Chuang, Ruixiang Tang, Shaochen Zhong, Jiayi Yuan, Hongye Jin, Zirui Liu, Vipin Chaudhary, Shuai Xu, James Caverlee, Xia Hu:
Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. CoRR abs/2410.05331 (2024) - [i23]Zeru Shi, Kai Mei, Mingyu Jin, Yongye Su, Chaoji Zuo, Wenyue Hua, Wujiang Xu, Yujie Ren, Zirui Liu, Mengnan Du, Dong Deng, Yongfeng Zhang:
From Commands to Prompts: LLM-based Semantic File System for AIOS. CoRR abs/2410.11843 (2024) - [i22]Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu:
Gradient Rewiring for Editable Graph Neural Network Training. CoRR abs/2410.15556 (2024) - [i21]Yifan Wu, Yuntao Yang, Zirui Liu, Zhao Li, Khushbu Pahwa, Rongbin Li, Wenjin Zheng, Xia Hu, Zhaozhuo Xu:
Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. CoRR abs/2410.15616 (2024) - 2023
- [j4]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. 2023 (2023) - [j3]Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. ICML 2023: 21951-21968 - [c16]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
DIVISION: Memory Efficient Training via Dual Activation Precision. ICML 2023: 36036-36057 - [c15]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. MLSys 2023 - [c14]Zirui Liu, Guanchu Wang, Shaochen (Henry) Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang (Ryan) Tang, Zhimeng Stephen Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. NeurIPS 2023 - [c13]Ruixiang (Ryan) Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu:
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. NeurIPS 2023 - [c12]Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu:
One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. NeurIPS 2023 - [c11]Kaixiong Zhou, Soo-Hyun Choi, Zirui Liu, Ninghao Liu, Fan Yang, Rui Chen, Li Li, Xia Hu:
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. SDM 2023: 55-63 - [i20]Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu:
Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR abs/2301.13443 (2023) - [i19]Yu-Neng Chuang, Guanchu Wang, Fan Yang, Zirui Liu, Xuanting Cai, Mengnan Du, Xia Ben Hu:
Efficient XAI Techniques: A Taxonomic Survey. CoRR abs/2302.03225 (2023) - [i18]Daochen Zha, Louis Feng, Liang Luo, Bhargav Bhushanam, Zirui Liu, Yusuo Hu, Jade Nie, Yuzhen Huang, Yuandong Tian, Arun Kejariwal, Xia Hu:
Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. CoRR abs/2305.01868 (2023) - [i17]Zhaozhuo Xu, Zirui Liu, Beidi Chen, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava:
Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. CoRR abs/2305.11186 (2023) - [i16]Zirui Liu, Guanchu Wang, Shaochen Zhong, Zhaozhuo Xu, Daochen Zha, Ruixiang Tang, Zhimeng Jiang, Kaixiong Zhou, Vipin Chaudhary, Shuai Xu, Xia Ben Hu:
Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. CoRR abs/2305.15265 (2023) - [i15]Zirui Liu, Zhimeng Jiang, Shaochen Zhong, Kaixiong Zhou, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
Editable Graph Neural Network for Node Classifications. CoRR abs/2305.15529 (2023) - [i14]Yao Rong, Guanchu Wang, Qizhang Feng, Ninghao Liu, Zirui Liu, Enkelejda Kasneci, Xia Ben Hu:
Efficient GNN Explanation via Learning Removal-based Attribution. CoRR abs/2306.05760 (2023) - [i13]Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu:
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. CoRR abs/2310.18633 (2023) - [i12]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR abs/2312.12369 (2023) - [i11]Guanchu Wang, Yu-Neng Chuang, Fan Yang, Mengnan Du, Chia-Yuan Chang, Shaochen Zhong, Zirui Liu, Zhaozhuo Xu, Kaixiong Zhou, Xuanting Cai, Xia Hu:
LETA: Learning Transferable Attribution for Generic Vision Explainer. CoRR abs/2312.15359 (2023) - 2022
- [c10]Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu:
An Information Fusion Approach to Learning with Instance-Dependent Label Noise. ICLR 2022 - [c9]Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu:
EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. ICLR 2022 - [c8]Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Table2Graph: Transforming Tabular Data to Unified Weighted Graph. IJCAI 2022: 2420-2426 - [c7]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS 2022 - [c6]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. NeurIPS 2022 - [i10]Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu:
FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR abs/2202.04187 (2022) - [i9]Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu:
Towards Memory Efficient Training via Dual Activation Precision. CoRR abs/2208.04187 (2022) - [i8]Daochen Zha, Louis Feng, Qiaoyu Tan, Zirui Liu, Kwei-Herng Lai, Bhargav Bhushanam, Yuandong Tian, Arun Kejariwal, Xia Hu:
DreamShard: Generalizable Embedding Table Placement for Recommender Systems. CoRR abs/2210.02023 (2022) - [i7]Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang:
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR abs/2210.07494 (2022) - [i6]Zirui Liu, Shengyuan Chen, Kaixiong Zhou, Daochen Zha, Xiao Huang, Xia Hu:
RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. CoRR abs/2210.10737 (2022) - 2021
- [j2]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:
The application of machine learning algorithms in predicting the length of stay following femoral neck fracture. Int. J. Medical Informatics 155: 104572 (2021) - [c5]Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu:
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. ICCV 2021: 4742-4750 - [c4]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu:
Mitigating Gender Bias in Captioning Systems. WWW 2021: 633-645 - [i5]Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu:
DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. CoRR abs/2103.14545 (2021) - [i4]Kaixiong Zhou, Ninghao Liu, Fan Yang, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu:
Adaptive Label Smoothing To Regularize Large-Scale Graph Training. CoRR abs/2108.13555 (2021) - 2020
- [j1]Ming Yang, Na Chai, Zirui Liu, Boyang Ren, Dianguo Xu:
Motor Speed Signature Analysis for Local Bearing Fault Detection With Noise Cancellation Based on Improved Drive Algorithm. IEEE Trans. Ind. Electron. 67(5): 4172-4182 (2020) - [c3]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Detecting Interactions from Neural Networks via Topological Analysis. NeurIPS 2020 - [c2]Ting-Hsiang Wang, Xia Hu, Haifeng Jin, Qingquan Song, Xiaotian Han, Zirui Liu:
AutoRec: An Automated Recommender System. RecSys 2020: 582-584 - [i3]Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Xia Hu:
Mitigating Gender Bias in Captioning Systems. CoRR abs/2006.08315 (2020) - [i2]Ting-Hsiang Wang, Qingquan Song, Xiaotian Han, Zirui Liu, Haifeng Jin, Xia Hu:
AutoRec: An Automated Recommender System. CoRR abs/2007.07224 (2020) - [i1]Zirui Liu, Qingquan Song, Kaixiong Zhou, Ting-Hsiang Wang, Ying Shan, Xia Hu:
Towards Interaction Detection Using Topological Analysis on Neural Networks. CoRR abs/2010.13015 (2020)
2010 – 2019
- 2017
- [c1]Zirui Liu, Ming Yang, Dianguo Xu:
A novel algorithm for on-line inertia identification via adaptive recursive least squares. IECON 2017: 2973-2978
Coauthor Index
[j5] [c30] [c28] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [c18] [i33] [i32] [i31] [i30] [i29] [i26] [i25] [i24] [i22] [i21] [j4] [j3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [c10] [c9] [c8] [c7] [c6] [i10] [i9] [i8] [i7] [i6] [c5] [c4] [i5] [i4] [c3] [c2] [i3] [i2] [i1]
Zhimeng Jiang
aka: Zhimeng Stephen Jiang
aka: Zhimeng Stephen Jiang
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