Hu, Xia

84 publications

NeurIPS 2025 70% Size, 100% Accuracy: Lossless LLM Compression for Efficient GPU Inference via Dynamic-Length Float (DFloat11) Tianyi Zhang, Mohsen Hariri, Shaochen Zhong, Vipin Chaudhary, Yang Sui, Xia Hu, Anshumali Shrivastava

CVPR 2025 Flexible Group Count Enables Hassle-Free Structured Pruning 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

ICML 2025 Learning to Route LLMs with Confidence Tokens Yu-Neng Chuang, Prathusha Kameswara Sarma, Parikshit Gopalan, John Boccio, Sara Bolouki, Xia Hu, Helen Zhou

ICLR 2025 MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations Shaochen Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu

CHIL 2025 Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu, Yanxiao Cai, Minxing Zhang, Xia Hu

TMLR 2025 Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu

CVPR 2025 TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan

NeurIPS 2025 Understanding and Mitigating Numerical Sources of Nondeterminism in LLM Inference Jiayi Yuan, Hao Li, Xinheng Ding, Wenya Xie, Yu-Jhe Li, Wentian Zhao, Kun Wan, Jing Shi, Xia Hu, Zirui Liu

CPAL 2025 You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-Offs at Inference Time Xiaotian Han, Tianlong Chen, Kaixiong Zhou, Zhimeng Jiang, Zhangyang Wang, Xia Hu

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

ICLR 2024 FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu

ICML 2024 GNNs Also Deserve Editing, and They Need It More than Once 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

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

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

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

CVPR 2024 Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut

TMLR 2024 On the Equivalence of Graph Convolution and Mixup Xiaotian Han, Hanqing Zeng, Yu Chen, Shaoliang Nie, Jingzhou Liu, Kanika Narang, Zahra Shakeri, Karthik Abinav Sankararaman, Song Jiang, Madian Khabsa, Qifan Wang, Xia Hu

ICML 2024 Soft Prompt Recovers Compressed LLMs, Transferably Zhaozhuo Xu, Zirui Liu, Beidi Chen, Shaochen Zhong, Yuxin Tang, Jue Wang, Kaixiong Zhou, Xia Hu, Anshumali Shrivastava

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

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

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

NeurIPSW 2023 Auto-PINN: Understanding and Optimizing Physics-Informed Neural Architecture Yicheng Wang, Xiaotian Han, Chia-Yuan Chang, Daochen Zha, Ulisses Braga-Neto, Xia Hu

MLOSS 2023 AutoKeras: An AutoML Library for Deep Learning Haifeng Jin, François Chollet, Qingquan Song, Xia Hu

NeurIPS 2023 Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu

ICLR 2023 CoRTX: Contrastive Framework for Real-Time Explanation Yu-Neng Chuang, Guanchu Wang, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu

ICML 2023 DIVISION: Memory Efficient Training via Dual Activation Precision Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu

TMLR 2023 DSpar: An Embarrassingly Simple Strategy for Efficient GNN Training and Inference via Degree-Based Sparsification Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

ECML-PKDD 2023 Deep Serial Number: Computational Watermark for DNN Intellectual Property Protection Ruixiang Tang, Mengnan Du, Xia Hu

NeurIPS 2023 Fair Graph Distillation Qizhang Feng, Zhimeng Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu

NeurIPSW 2023 LeanFlex-GKP: Advancing Hassle-Free Structured Pruning with Simple Flexible Group Count Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Kaixiong Zhou, Xia Hu, Shuai Xu, Vipin Chaudhary

ICLR 2023 MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah

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

IJCAI 2023 Probabilistic Masked Attention Networks for Explainable Sequential Recommendation Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang

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

TMLR 2023 Retiring $\Delta \text{DP}$: New Distribution-Level Metrics for Demographic Parity Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu

NeurIPS 2023 Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models Through Honeypots Ruixiang Tang, Jiayi Yuan, Yiming Li, Zirui Liu, Rui Chen, Xia Hu

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

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

ICML 2022 Accelerating Shapley Explanation via Contributive Cooperator Selection Guanchu Wang, Yu-Neng Chuang, Mengnan Du, Fan Yang, Quan Zhou, Pushkar Tripathi, Xuanting Cai, Xia Hu

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

AutoML 2022 AutoCoG: A Unified Data-Model Co-Search Framework for Graph Neural Networks Duc N.M Hoang, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang

IJCAI 2022 AutoVideo: An Automated Video Action Recognition System Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu

ICLR 2022 DEGREE: Decomposition Based Explanation for Graph Neural Networks Qizhang Feng, Ninghao Liu, Fan Yang, Ruixiang Tang, Mengnan Du, Xia Hu

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

ICLR 2022 EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu

ICML 2022 G-Mixup: Graph Data Augmentation for Graph Classification Xiaotian Han, Zhimeng Jiang, Ninghao Liu, Xia Hu

ICLR 2022 Generalized Demographic Parity for Group Fairness Zhimeng Jiang, Xiaotian Han, Chao Fan, Fan Yang, Ali Mostafavi, Xia Hu

AAAI 2022 Orthogonal Graph Neural Networks Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang, Xin Wang

AAAI 2022 RES: An Interpretable Replicability Estimation System for Research Publications Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman Iii, Xia Hu, James Caverlee

IJCAI 2022 Table2Graph: Transforming Tabular Data to Unified Weighted Graph Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

AAAI 2022 Towards Debiasing DNN Models from Spurious Feature Influence Mengnan Du, Ruixiang Tang, Weijie Fu, Xia Hu

AAAI 2021 A Unified Taylor Framework for Revisiting Attribution Methods Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu

NeurIPS 2021 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

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

ICML 2021 DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning Daochen Zha, Jingru Xie, Wenye Ma, Sheng Zhang, Xiangru Lian, Xia Hu, Ji Liu

AAAI 2021 Dynamic Memory Based Attention Network for Sequential Recommendation Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

NeurIPS 2021 Fairness via Representation Neutralization Mengnan Du, Subhabrata Mukherjee, Guanchu Wang, Ruixiang Tang, Ahmed Awadallah, Xia Hu

ICLR 2021 Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments Daochen Zha, Wenye Ma, Lei Yuan, Xia Hu, Ji Liu

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

IJCAI 2020 Dual Policy Distillation Kwei-Herng Lai, Daochen Zha, Yuening Li, Xia Hu

IJCAI 2020 Multi-Channel Graph Neural Networks Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu

IJCAI 2020 RLCard: A Platform for Reinforcement Learning in Card Games Daochen Zha, Kwei-Herng Lai, Songyi Huang, Yuanpu Cao, Keerthana Reddy, Juan Vargas, Alex Nguyen, Ruzhe Wei, Junyu Guo, Xia Hu

CVPRW 2020 Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks Haofan Wang, Zifan Wang, Mengnan Du, Fan Yang, Zijian Zhang, Sirui Ding, Piotr Mardziel, Xia Hu

NeurIPS 2020 Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou, Xiao Huang, Yuening Li, Daochen Zha, Rui Chen, Xia Hu

AAAI 2019 Deep Bayesian Optimization on Attributed Graphs Jiaxu Cui, Bo Yang, Xia Hu

IJCAI 2019 Experience Replay Optimization Daochen Zha, Kwei-Herng Lai, Kaixiong Zhou, Xia Hu

AAAI 2019 Interpreting Deep Models for Text Analysis via Optimization and Regularization Methods Hao Yuan, Yongjun Chen, Xia Hu, Shuiwang Ji

AAAI 2019 Large-Scale Heterogeneous Feature Embedding Xiao Huang, Qingquan Song, Fan Yang, Xia Hu

AAAI 2019 Robust Negative Sampling for Network Embedding Mohammadreza Armandpour, Patrick Ding, Jianhua Huang, Xia Hu

IJCAI 2018 Contextual Outlier Interpretation Ninghao Liu, Donghwa Shin, Xia Hu

AAAI 2018 Link Prediction with Personalized Social Influence Zepeng Huo, Xiao Huang, Xia Hu

IJCAI 2017 Accelerated Local Anomaly Detection via Resolving Attributed Networks Ninghao Liu, Xiao Huang, Xia Hu

IJCAI 2017 Radar: Residual Analysis for Anomaly Detection in Attributed Networks Jundong Li, Harsh Dani, Xia Hu, Huan Liu

AAAI 2016 From Tweets to Wellness: Wellness Event Detection from Twitter Streams Mohammad Akbari, Xia Hu, Liqiang Nie, Tat-Seng Chua

AAAI 2016 Predicting Online Protest Participation of Social Media Users Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu

AAAI 2016 Recommendation with Social Dimensions Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu

AAAI 2015 Burst Time Prediction in Cascades Senzhang Wang, Zhao Yan, Xia Hu, Philip S. Yu, Zhoujun Li

AAAI 2015 Content-Aware Point of Interest Recommendation on Location-Based Social Networks Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu

IJCAI 2015 Learning Geographical Hierarchy Features for Social Image Location Prediction Xiaoming Zhang, Xia Hu, Zhoujun Li

AAAI 2015 Leveraging Social Foci for Information Seeking in Social Media Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu

AAAI 2014 Online Social Spammer Detection Xia Hu, Jiliang Tang, Huan Liu

IJCAI 2013 Exploiting Local and Global Social Context for Recommendation Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu

AAAI 2013 From Interest to Function: Location Estimation in Social Media Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua

IJCAI 2013 Social Spammer Detection in Microblogging Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu