A novel algorithm for on-line inertia identification via adaptive recursive least squares. - Zirui Liu 001; Ming Yang 006; Dianguo Xu 001 (IECON, 2017)

Detecting Interactions from Neural Networks via Topological Analysis. - Zirui Liu 001; Qingquan Song; Kaixiong Zhou; Ting-Hsiang Wang; Ying Shan; Xia Hu 001 (NeurIPS, 2020)

AutoRec: An Automated Recommender System. - Ting-Hsiang Wang; Xia Hu 001; Haifeng Jin; Qingquan Song; Xiaotian Han; Zirui Liu 001 (RecSys, 2020)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Xia Hu 001 (CoRR, 2020)

Towards Interaction Detection Using Topological Analysis on Neural Networks. - Zirui Liu 001; Qingquan Song; Kaixiong Zhou; Ting-Hsiang Wang; Ying Shan; Xia Hu 001 (CoRR, 2020)

Motor Speed Signature Analysis for Local Bearing Fault Detection With Noise Cancellation Based on Improved Drive Algorithm. - Ming Yang 006; Na Chai; Zirui Liu 001; Boyang Ren; Dianguo Xu 001 (IEEE Trans. Ind. Electron., 2020)

DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. - Zirui Liu 001; Haifeng Jin; Ting-Hsiang Wang; Kaixiong Zhou; Xia Hu 001 (ICCV, 2021)

Mitigating Gender Bias in Captioning Systems. - Ruixiang Tang; Mengnan Du; Yuening Li; Zirui Liu 001; Na Zou 001; Xia Hu 001 (WWW, 2021)

The application of machine learning algorithms in predicting the length of stay following femoral neck fracture. - Hao Zhong 003; Bingpu Wang; Dawei Wang; Zirui Liu 001; Cong Xing; Yu Wu; Qiang Gao; Shibo Zhu; Haodong Qu; Zeyu Jia; Zhigang Qu; Guangzhi Ning; et al. (Int. J. Medical Informatics, 2021)

An Information Fusion Approach to Learning with Instance-Dependent Label Noise. - Zhimeng Jiang; Kaixiong Zhou; Zirui Liu 001; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (ICLR, 2022)

EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression. - Zirui Liu 001; Kaixiong Zhou; Fan Yang 023; Li Li 035; Rui Chen 012; Xia Hu 001 (ICLR, 2022)

Table2Graph: Transforming Tabular Data to Unified Weighted Graph. - Kaixiong Zhou; Zirui Liu 001; Rui Chen 012; Li Li 035; Soo-Hyun Choi; Xia Hu 001 (IJCAI, 2022)

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. - Keyu Duan; Zirui Liu 001; Peihao Wang; Wenqing Zheng; Kaixiong Zhou; Tianlong Chen 001; Xia Hu 001; Zhangyang Wang (NeurIPS, 2022)

DreamShard: Generalizable Embedding Table Placement for Recommender Systems. - Daochen Zha; Louis Feng; Qiaoyu Tan; Zirui Liu 001; Kwei-Herng Lai; Bhargav Bhushanam; Yuandong Tian; Arun Kejariwal; Xia Hu 001 (NeurIPS, 2022)

FMP: Toward Fair Graph Message Passing against Topology Bias. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (CoRR, 2022)

Towards Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (CoRR, 2022)

RSC: Accelerating Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (CoRR, 2022)

RSC: Accelerate Graph Neural Networks Training via Randomized Sparse Computations. - Zirui Liu 001; Shengyuan Chen; Kaixiong Zhou; Daochen Zha; Xiao Huang 001; Xia Hu 001 (ICML, 2023)

DIVISION: Memory Efficient Training via Dual Activation Precision. - Guanchu Wang; Zirui Liu 001; Zhimeng Jiang; Ninghao Liu; Na Zou 001; Xia Ben Hu (ICML, 2023)

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models. - Daochen Zha; Louis Feng; Liang Luo; Bhargav Bhushanam; Zirui Liu 001; Yusuo Hu; Jade Nie; Yuzhen Huang; Yuandong Tian; Arun Kejariwal; Xia Hu 001 (MLSys, 2023)

Winner-Take-All Column Row Sampling for Memory Efficient Adaptation of Language Model. - Zirui Liu 001; Guanchu Wang; Shaochen Zhong; Zhaozhuo Xu; Daochen Zha; Ruixiang (Ryan) Tang; Zhimeng Stephen Jiang; Kaixiong Zhou; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots. - Ruixiang (Ryan) Tang; Jiayi Yuan 001; Yiming Li; Zirui Liu 001; Rui Chen 012; Xia Hu 001 (NeurIPS, 2023)

One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning. - Shaochen (Henry) Zhong; Zaichuan You; Jiamu Zhang; Sebastian Zhao; Zachary LeClaire; Zirui Liu 001; Daochen Zha; Vipin Chaudhary; Shuai Xu; Xia Hu 001 (NeurIPS, 2023)

Adaptive Label Smoothing To Regularize Large-Scale Graph Training. - Kaixiong Zhou; Soo-Hyun Choi; Zirui Liu 001; Ninghao Liu; Fan Yang 023; Rui Chen 012; Li Li 035; Xia Hu 001 (SDM, 2023)

Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (CoRR, 2023)

Efficient XAI Techniques: A Taxonomic Survey. - Yu-Neng Chuang; Guanchu Wang; Fan Yang 023; Zirui Liu 001; Xuanting Cai; Mengnan Du; Xia Ben Hu (CoRR, 2023)

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt. - Zhaozhuo Xu; Zirui Liu 001; Beidi Chen; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu 001; Anshumali Shrivastava (CoRR, 2023)

Editable Graph Neural Network for Node Classifications. - Zirui Liu 001; Zhimeng Jiang; Shaochen Zhong; Kaixiong Zhou; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (CoRR, 2023)

LETA: Learning Transferable Attribution for Generic Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (CoRR, 2023)

Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. - Xiaotian Han; Zhimeng Jiang; Hongye Jin; Zirui Liu 001; Na Zou 001; Qifan Wang 001; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

DSpar: An Embarrassingly Simple Strategy for Efficient GNN training and inference via Degree-based Sparsification. - Zirui Liu 001; Kaixiong Zhou; Zhimeng Jiang; Li Li 035; Rui Chen 012; Soo-Hyun Choi; Xia Hu 001 (Trans. Mach. Learn. Res., 2023)

Chasing Fairness in Graphs: A GNN Architecture Perspective. - Zhimeng Jiang; Xiaotian Han; Chao Fan; Zirui Liu 001; Na Zou 001; Ali Mostafavi; Xia Hu 001 (AAAI, 2024)

QUEST: Efficient Extreme Multi-Label Text Classification with Large Language Models on Commodity Hardware. - Chuang Zhou 002; Junnan Dong; Xiao Huang 001; Zirui Liu 001; Kaixiong Zhou; Zhaozhuo Xu (EMNLP (Findings), 2024)

In Defense of Structural Sparse Adapters for Concurrent LLM Serving. - Junda Su; Zirui Liu 001; Zeju Qiu; Weiyang Liu; Zhaozhuo Xu (EMNLP (Findings), 2024)

Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion. - Guanchu Wang; Yu-Neng Chuang; Ruixiang Tang; Shaochen Zhong; Jiayi Yuan 001; Hongye Jin; Zirui Liu 001; Vipin Chaudhary; Shuai Xu; James Caverlee; Xia Ben Hu (EMNLP, 2024)

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches. - Jiayi Yuan 001; Hongyi Liu; Shaochen (Henry) Zhong; Yu-Neng Chuang; Songchen Li; Guanchu Wang; Duy Le 001; Hongye Jin; Vipin Chaudhary; Zhaozhuo Xu; Zirui Liu 001; Xia Ben Hu (EMNLP (Findings), 2024)

LLM Maybe LongLM: SelfExtend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (ICML, 2024)

Knowledge Graphs Can be Learned with Just Intersection Features. - Duy Le 001; Shaochen (Henry) Zhong; Zirui Liu 001; Shuai Xu; Vipin Chaudhary; Kaixiong Zhou; Zhaozhuo Xu (ICML, 2024)

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache. - Zirui Liu 001; Jiayi Yuan 001; Hongye Jin; Shaochen (Henry) Zhong; Zhaozhuo Xu; Vladimir Braverman; Beidi Chen; Xia Hu 001 (ICML, 2024)

TVE: Learning Meta-attribution for Transferable Vision Explainer. - Guanchu Wang; Yu-Neng Chuang; Fan Yang 023; Mengnan Du; Chia-Yuan Chang 002; Shaochen Zhong; Zirui Liu 001; Zhaozhuo Xu; Kaixiong Zhou; Xuanting Cai; Xia Hu 001 (ICML, 2024)

Soft Prompt Recovers Compressed LLMs, Transferably. - Zhaozhuo Xu; Zirui Liu 001; Beidi Chen; Shaochen (Henry) Zhong; Yuxin Tang; Jue Wang; Kaixiong Zhou; Xia Hu 001; Anshumali Shrivastava (ICML, 2024)

GNNs Also Deserve Editing, and They Need It More Than Once. - Shaochen (Henry) Zhong; Duy Le 001; Zirui Liu 001; Zhimeng Jiang; Andrew Ye; Jiamu Zhang; Jiayi Yuan 001; Kaixiong Zhou; Zhaozhuo Xu; Jing Ma; Shuai Xu; Vipin Chaudhary; et al. (ICML, 2024)

Learning to Compress Prompt in Natural Language Formats. - Yu-Neng Chuang; Tianwei Xing; Chia-Yuan Chang 002; Zirui Liu 001; Xun Chen; Xia Ben Hu (NAACL-HLT, 2024)

Gradient Rewiring for Editable Graph Neural Network Training. - Zhimeng Jiang; Zirui Liu 001; Xiaotian Han; Qizhang Feng; Hongye Jin; Qiaoyu Tan; Kaixiong Zhou; Na Zou 001; Xia Ben Hu (NeurIPS, 2024)

LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuning. - Hongye Jin; Xiaotian Han; Jingfeng Yang 001; Zhimeng Jiang; Zirui Liu 001; Chia-Yuan Chang 002; Huiyuan Chen; Xia Hu 001 (CoRR, 2024)

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency Trade-off in Language Model Inference. - Zirui Liu 001; Qingquan Song; Qiang Charles Xiao; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Xia Hu 001 (CoRR, 2024)

LoRATK: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem. - Hongyi Liu; Shaochen (Henry) Zhong; Xintong Sun; Minghao Tian; Mohsen Hariri; Zirui Liu 001; Ruixiang Tang; Zhimeng Jiang; Jiayi Yuan 001; Yu-Neng Chuang; Li Li 035; Soo-Hyun Choi; et al. (CoRR, 2024)

Quantifying Multilingual Performance of Large Language Models Across Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ninghao Liu; Mengnan Du (CoRR, 2024)

Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (CoRR, 2024)

Assessing and Enhancing Large Language Models in Rare Disease Question-answering. - Guanchu Wang; Junhao Ran; Ruixiang Tang; Chia-Yuan Chang 002; Yu-Neng Chuang; Zirui Liu 001; Vladimir Braverman; Zhandong Liu; Xia Hu 001 (CoRR, 2024)

Weighted Diversified Sampling for Efficient Data-Driven Single-Cell Gene-Gene Interaction Discovery. - Yifan Wu; Yuntao Yang; Zirui Liu 001; Zhao Li; Khushbu Pahwa; Rongbin Li; Wenjin Zheng; Xia Hu 001; Zhaozhuo Xu (CoRR, 2024)

PME: pruning-based multi-size embedding for recommender systems. - Zirui Liu 001; Qingquan Song; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001 (Frontiers Big Data, 2024)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages. - Zihao Li; Yucheng Shi; Zirui Liu 001; Fan Yang 023; Ali Payani; Ninghao Liu; Mengnan Du (AAAI, 2025)

Flexible Group Count Enables Hassle-Free Structured Pruning. - Jiamu Zhang; Shaochen Zhong; Andrew Ye; Zirui Liu 001; Sebastian Zhao; Kaixiong Zhou; Li Li 035; Soo-Hyun Choi; Rui Chen 012; Xia Hu 001; Shuai Xu; Vipin Chaudhary (CVPR, 2025)

Zeroth-Order Fine-Tuning of LLMs with Transferable Static Sparsity. - Wentao Guo; Jikai Long; Yimeng Zeng; Zirui Liu 001; Xinyu Yang 002; Yide Ran; Jacob R. Gardner; Osbert Bastani; Christopher De Sa; Xiaodong Yu; Beidi Chen; Zhaozhuo Xu (ICLR, 2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS. - Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu 001; Mengnan Du; Dong Deng 001; Yongfeng Zhang (ICLR, 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang (CoRR, 2025)

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization. - Yu-Neng Chuang; Leisheng Yu; Guanchu Wang; Lizhe Zhang; Zirui Liu 001; Xuanting Cai; Yang Sui; Vladimir Braverman; Xia Ben Hu (CoRR, 2025)

I3S: Importance Sampling Subspace Selection for Low-Rank Optimization in LLM Pretraining. - Haochen Zhang; Junze Yin; Guanchu Wang; Zirui Liu 001; Tianyi Zhang 011; Anshumali Shrivastava; Lin Yang 011; Vladimir Braverman (CoRR, 2025)

Efficient GNN Explanation via Learning Removal-based Attribution. - Yao Rong; Guanchu Wang; Qizhang Feng; Ninghao Liu; Zirui Liu 001; Enkelejda Kasneci; Xia Hu 001 (ACM Trans. Knowl. Discov. Data, 2025)

EPEE: Towards Efficient and Effective Foundation Models in Biomedicine. - Zaifu Zhan; Shuang Zhou 012; Huixue Zhou; Zirui Liu 001; Rui Zhang 028 (CoRR, 2025)

Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. - Yuheng Wu; Wentao Guo; Zirui Liu 001; Heng Ji; Zhaozhuo Xu; Denghui Zhang (CoRR, 2025)

Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning. - Wang Yang; Zirui Liu 001; Hongye Jin; Qingyu Yin; Vipin Chaudhary; Xiaotian Han (CoRR, 2025)

An Outlook on the Opportunities and Challenges of Multi-Agent AI Systems. - Fangqiao Tian; An Luo; Jin Du; Xun Xian; Robert Specht; Ganghua Wang; Xuan Bi; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; Charles Fleming; Rui Zhang 028; et al. (CoRR, 2025)

Give Me FP32 or Give Me Death? Challenges and Solutions for Reproducible Reasoning. - Jiayi Yuan 001; Hao Li; Xinheng Ding; Wenya Xie; Yu-Jhe Li; Wentian Zhao; Kun Wan 001; Jing Shi; Xia Hu 001; Zirui Liu 001 (CoRR, 2025)

AssistedDS: Benchmarking How External Domain Knowledge Assists LLMs in Automated Data Science. - An Luo; Xun Xian; Jin Du; Fangqiao Tian; Ganghua Wang; Ming Zhong; Shengchun Zhao; Xuan Bi; Zirui Liu 001; Jiawei Zhou; Jayanth Srinivasa; Ashish Kundu; et al. (CoRR, 2025)

Automating Expert-Level Medical Reasoning Evaluation of Large Language Models. - Shuang Zhou 012; Wenya Xie; Jiaxi Li; Zaifu Zhan; Meijia Song; Han Yang; Cheyenna Espinoza; Lindsay Welton; Xinnie Mai; Yanwei Jin; Zidu Xu; Yuen-Hei Chung; et al. (CoRR, 2025)

Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Ammar Ahmed; Sheng Di; Franck Cappello; Zirui Liu 001; Jingoo Han; Ali Anwar 001 (CoRR, 2025)

Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling. - Seyyed Saeid Cheshmi; Azal Ahmad Khan; Xinran Wang; Zirui Liu 001; Ali Anwar 001 (CoRR, 2025)