Zhang, Xiao

109 publications

ICLR 2025 ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-Sample $v$-Ensemble Tianyuan Chen, Ronglong Cai, Faguo Wu, Xiao Zhang

AAAI 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization Xiao Zhang, Sunhao Dai, Jun Xu, Yong Liu, Zhenhua Dong

AAAI 2025 An Item Is Worth a Prompt: Versatile Image Editing with Disentangled Control Aosong Feng, Weikang Qiu, Jinbin Bai, Zhen Dong, Kaicheng Zhou, Xiao Zhang, Rex Ying, Leandros Tassiulas

ICCV 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang

WACV 2025 DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination Jia Fu, Xiao Zhang, Sepideh Pashami, Fatemeh Rahimian, Anders Holst

ICML 2025 Dimension-Free Adaptive Subgradient Methods with Frequent Directions Sifan Yang, Yuanyu Wan, Peijia Li, Yibo Wang, Xiao Zhang, Zhewei Wei, Lijun Zhang

AAAI 2025 Enhancing Elusive Clues in Knowledge Learning by Contrasting Attention of Language Models Jian Gao, Xiao Zhang, Miao Li, Ji Wu

ICML 2025 Evaluating LLMs Across Multi-Cognitive Levels: From Medical Knowledge Mastery to Scenario-Based Problem Solving Yuxuan Zhou, Xien Liu, Chenwei Yan, Chen Ning, Xiao Zhang, Boxun Li, Xiangling Fu, Shijin Wang, Guoping Hu, Yu Wang, Ji Wu

NeurIPS 2025 FACT: Mitigating Inconsistent Hallucinations in LLMs via Fact-Driven Alternating Code-Text Training Xinxin You, Qixin Sun, Chenwei Yan, Xiao Zhang, Chen Ning, Xiangling Fu, Si Liu, Guoping Hu, Shijin Wang, Ji Wu, Xien Liu

IJCAI 2025 Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition Dongxie Wen, Xiao Zhang, Zhewei Wei, Chenping Hou, Shuai Li, Weinan Zhang

NeurIPS 2025 GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs Advik Raj Basani, Xiao Zhang

ICLRW 2025 GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs Advik Raj Basani, Xiao Zhang

ICML 2025 Generalization Analysis for Controllable Learning Yi-Fan Zhang, Xiao Zhang, Min-Ling Zhang

NeurIPS 2025 Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett

ICML 2025 How Distributed Collaboration Influences the Diffusion Model Training? a Theoretical Perspective Jing Qiao, Yu Liu, Yuan Yuan, Xiao Zhang, Zhipeng Cai, Dongxiao Yu

ICCV 2025 IAP: Invisible Adversarial Patch Attack Through Perceptibility-Aware Localization and Perturbation Optimization Subrat Kishore Dutta, Xiao Zhang

NeurIPS 2025 Investigating and Mitigating Catastrophic Forgetting in Medical Knowledge Injection Through Internal Knowledge Augmentation Learning Yuxuan Zhou, Xien Liu, Xiao Zhang, Chen Ning, Shijin Wang, Guoping Hu, Ji Wu

AAAI 2025 LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation Zhonghong Ou, Xiao Zhang, Yifan Zhu, Shuai Lyu, Jiahao Liu, Tu Ao

AAAI 2025 LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai

ICLRW 2025 MASQUE: Diffusion-Based Localized Adversarial Makeup for Facial Privacy Youngjin Kwon, Xiao Zhang

CVPR 2025 Nested Diffusion Models Using Hierarchical Latent Priors Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire

ICCV 2025 NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping Tianyi Wang, Shuaicheng Niu, Harry Cheng, Xiao Zhang, Yinglong Wang

ICLR 2025 Offline RL with Smooth OOD Generalization in Convex Hull and Its Neighborhood Qingmao Yao, Zhichao Lei, Tianyuan Chen, Ziyue Yuan, Xuefan Chen, Jianxiang Liu, Faguo Wu, Xiao Zhang

ICML 2025 PDUDT: Provable Decentralized Unlearning Under Dynamic Topologies Jing Qiao, Yu Liu, Zengzhe Chen, Mingyi Li, Yuan Yuan, Xiao Zhang, Dongxiao Yu

NeurIPS 2025 PROFIT: A Specialized Optimizer for Deep Fine Tuning Anirudh S Chakravarthy, Shuai Kyle Zheng, Xin Huang, Sachithra Hemachandra, Xiao Zhang, Yuning Chai, Zhao Chen

ICCV 2025 PROGRESSOR: A Perceptually Guided Reward Estimator with Self-Supervised Online Refinement Tewodros W. Ayalew, Xiao Zhang, Kevin Yuanbo Wu, Tianchong Jiang, Michael Maire, Matthew R. Walter

ICLR 2025 Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents Haoyu Wang, Sunhao Dai, Haiyuan Zhao, Liang Pang, Xiao Zhang, Gang Wang, Zhenhua Dong, Jun Xu, Ji-Rong Wen

ICLRW 2025 Predicting Time-Varying Metabolic Dynamics Using Structured Neural Ode Processes Santanu Rathod, Pietro Lio, Xiao Zhang

ICML 2025 Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang

ICLR 2025 ReDeEP: Detecting Hallucination in Retrieval-Augmented Generation via Mechanistic Interpretability ZhongXiang Sun, Xiaoxue Zang, Kai Zheng, Jun Xu, Xiao Zhang, Weijie Yu, Yang Song, Han Li

ICLR 2025 Reliable and Diverse Evaluation of LLM Medical Knowledge Mastery Yuxuan Zhou, Xien Liu, Chen Ning, Xiao Zhang, Ji Wu

ICLR 2025 Score-Based Free-Form Architectures for High-Dimensional Fokker-Planck Equations Feng Liu, Faguo Wu, Xiao Zhang

IJCAI 2025 Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach Jichen Li, Lijia Xie, Hanting Huang, Bo Zhou, Binfeng Song, Wanying Zeng, Xiaotie Deng, Xiao Zhang

AAAI 2025 TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song

AAAI 2025 Trigger3: Refining Query Correction via Adaptive Model Selector Kepu Zhang, Zhongxiang Sun, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Jun Xu

ICCV 2025 UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement Xiao Zhang, Fei Wei, Yong Wang, Wenda Zhao, Feiyi Li, Xiangxiang Chu

NeurIPSW 2024 AutoDefense: Multi-Agent LLM Defense Against Jailbreak Attacks Yifan Zeng, Yiran Wu, Xiao Zhang, Huazheng Wang, Qingyun Wu

NeurIPS 2024 Co-Occurrence Is Not Factual Association in Language Models Xiao Zhang, Miao Li, Ji Wu

ICML 2024 Conditional Language Learning with Context Xiao Zhang, Miao Li, Ji Wu

CVPR 2024 Deciphering 'What' and 'Where' Visual Pathways from Spectral Clustering of Layer-Distributed Neural Representations Xiao Zhang, David Yunis, Michael Maire

ICLR 2024 Dissecting Learning and Forgetting in Language Model Finetuning Xiao Zhang, Ji Wu

TMLR 2024 Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri, Xiao Zhang, David Evans

ICMLW 2024 Do Parameters Reveal More than Loss for Membership Inference? Anshuman Suri, Xiao Zhang, David Evans

NeurIPS 2024 FinBen: A Holistic Financial Benchmark for Large Language Models Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang

AAAI 2024 G-LIME: Statistical Learning for Local Interpretations of Deep Neural Networks Using Global Priors (Abstract Reprint) Xuhong Li, Haoyi Xiong, Xingjian Li, Xiao Zhang, Ji Liu, Haiyan Jiang, Zeyu Chen, Dejing Dou

TMLR 2024 Generating Less Certain Adversarial Examples Improves Robust Generalization Minxing Zhang, Michael Backes, Xiao Zhang

ICMLW 2024 Improving the Efficiency of Self-Supervised Adversarial Training Through Latent Clustering-Based Selection Somrita Ghosh, Yuelin Xu, Xiao Zhang

IJCAI 2024 Integrating View Conditions for Image Synthesis Jinbin Bai, Zhen Dong, Aosong Feng, Xiao Zhang, Tian Ye, Kaicheng Zhou

NeurIPS 2024 Latent Intrinsics Emerge from Training to Relight Xiao Zhang, William Gao, Seemandhar Jain, Michael Maire, D.A. Forsyth, Anand Bhattad

AAAI 2024 NaMa: Neighbor-Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images Runqi Meng, Xiao Zhang, Shijie Huang, Yuning Gu, Guiqin Liu, Guangyu Wu, Nizhuan Wang, Kaicong Sun, Dinggang Shen

ICLRW 2024 Neural Retrievers Are Biased Towards LLM-Generated Content Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu

NeurIPS 2024 Resource-Aware Federated Self-Supervised Learning with Global Class Representations Mingyi Li, Xiao Zhang, Qi Wang, Tengfei Liu, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu

AAAI 2024 Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong

ICMLW 2024 Understanding Adversarially Robust Generalization via Weight-Curvature Index Yuelin Xu, Xiao Zhang

NeurIPS 2023 How to Fine-Tune the Model: Unified Model Shift and Model Bias Policy Optimization Hai Zhang, Hang Yu, Junqiao Zhao, Di Zhang, Xiao Zhang, Hongtu Zhou, Chang Huang, Chen Ye

NeurIPS 2023 PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang

ICMLW 2023 Provably Robust Cost-Sensitive Learning via Randomized Smoothing Yuan Xin, Michael Backes, Xiao Zhang

NeurIPS 2023 Reward Imputation with Sketching for Contextual Batched Bandits Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

IJCAI 2023 Robust Image Ordinal Regression with Controllable Image Generation Yi Cheng, Haochao Ying, Renjun Hu, Jinhong Wang, Wenhao Zheng, Xiao Zhang, Danny Z. Chen, Jian Wu

NeurIPS 2023 What Distributions Are Robust to Indiscriminate Poisoning Attacks for Linear Learners? Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

ICMLW 2023 When Can Linear Learners Be Robust to Indiscriminate Poisoning Attacks? Fnu Suya, Xiao Zhang, Yuan Tian, David Evans

AAAI 2022 ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition Zekai Chen, Xiao Zhang, Xiuzhen Cheng

ECCV 2022 PseudoAugment: Learning to Use Unlabeled Data for Data Augmentation in Point Clouds Zhaoqi Leng, Shuyang Cheng, Benjamin Caine, Weiyue Wang, Xiao Zhang, Jonathon Shlens, Mingxing Tan, Dragomir Anguelov

ICLR 2022 Understanding Intrinsic Robustness Using Label Uncertainty Xiao Zhang, David Evans

ICCVW 2021 A Technical Survey and Evaluation of Traditional Point Cloud Clustering Methods for LiDAR Panoptic Segmentation Yiming Zhao, Xiao Zhang, Xinming Huang

ICLR 2021 Improved Estimation of Concentration Under $\ell_p$-Norm Distance Metrics Using Half Spaces Jack Prescott, Xiao Zhang, David Evans

AAAI 2021 Modeling Heterogeneous Relations Across Multiple Modes for Potential Crowd Flow Prediction Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang

CVPR 2021 RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov

CVPR 2021 Refining Pseudo Labels with Clustering Consensus over Generations for Unsupervised Object Re-Identification Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li

AAAI 2021 Regret Bounds for Online Kernel Selection in Continuous Kernel Space Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

IJCAI 2021 Rethink the Connections Among Generalization, Memorization, and the Spectral Bias of DNNs Xiao Zhang, Haoyi Xiong, Dongrui Wu

CVPR 2021 To the Point: Efficient 3D Object Detection in the Range Image with Graph Convolution Kernels Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov

ICLR 2020 Empirical Studies on the Properties of Linear Regions in Deep Neural Networks Xiao Zhang, Dongrui Wu

IJCAI 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space Xiao Zhang, Shizhong Liao

ICML 2020 Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization Sicheng Zhu, Xiao Zhang, David Evans

AAAI 2020 Learning Conceptual-Contextual Embeddings for Medical Text Xiao Zhang, Dejing Dou, Ji Wu

ECCV 2020 RBF-SoftMax: Learning Deep Representative Prototypes with Radial Basis Function SoftMax Xiao Zhang, Rui Zhao, Yu Qiao, Hongsheng Li

NeurIPS 2020 Self-Supervised Visual Representation Learning from Hierarchical Grouping Xiao Zhang, Michael Maire

AAAI 2020 Tensor Graph Convolutional Networks for Text Classification Xien Liu, Xinxin You, Xiao Zhang, Ji Wu, Ping Lv

AISTATS 2020 Understanding the Intrinsic Robustness of Image Distributions Using Conditional Generative Models Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans

NeurIPS 2019 An Adaptive Empirical Bayesian Method for Sparse Deep Learning Wei Deng, Xiao Zhang, Faming Liang, Guang Lin

IJCAI 2019 AttnSense: Multi-Level Attention Mechanism for Multimodal Human Activity Recognition Haojie Ma, Wenzhong Li, Xiao Zhang, Songcheng Gao, Sanglu Lu

ICLR 2019 Cost-Sensitive Robustness Against Adversarial Examples Xiao Zhang, David Evans

NeurIPS 2019 Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans

ICML 2019 Incremental Randomized Sketching for Online Kernel Learning Xiao Zhang, Shizhong Liao

CVPRW 2019 Joint Learning of Neural Networks via Iterative Reweighted Least Squares Zaiwei Zhang, Xiangru Huang, Qixing Huang, Xiao Zhang, Yuan Li

AISTATS 2019 Learning One-Hidden-Layer ReLU Networks via Gradient Descent Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu

MLJ 2019 Supervised Representation Learning for Multi-Label Classification Ming Huang, Fuzhen Zhuang, Xiao Zhang, Xiang Ao, Zhengyu Niu, Min-Ling Zhang, Qing He

ICCVW 2019 The iMaterialist Fashion Attribute Dataset Sheng Guo, Weilin Huang, Xiao Zhang, Prasanna Srikhanta, Yin Cui, Yuan Li, Hartwig Adam, Matthew R. Scott, Serge J. Belongie

ICML 2018 A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu

AISTATS 2018 A Unified Framework for Nonconvex Low-Rank Plus Sparse Matrix Recovery Xiao Zhang, Lingxiao Wang, Quanquan Gu

ICML 2018 Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow Xiao Zhang, Simon Du, Quanquan Gu

IJCAI 2018 Label-Sensitive Task Grouping by Bayesian Nonparametric Approach for Multi-Task Multi-Label Learning Xiao Zhang, Wenzhong Li, Vu Nguyen, Fuzhen Zhuang, Hui Xiong, Sanglu Lu

AAAI 2018 Medical Exam Question Answering with Large-Scale Reading Comprehension Xiao Zhang, Ji Wu, Zhiyang He, Xien Liu, Ying Su

ECCV 2018 NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications Tien-Ju Yang, Andrew Howard, Bo Chen, Xiao Zhang, Alec Go, Mark Sandler, Vivienne Sze, Hartwig Adam

IJCAI 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment Xiao Zhang, Shizhong Liao

AISTATS 2017 A Unified Computational and Statistical Framework for Nonconvex Low-Rank Matrix Estimation Lingxiao Wang, Xiao Zhang, Quanquan Gu

ICML 2017 A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery Lingxiao Wang, Xiao Zhang, Quanquan Gu

ICML 2017 Asynchronous Distributed Variational Gaussian Process for Regression Hao Peng, Shandian Zhe, Xiao Zhang, Yuan Qi

ICCV 2017 Automatic Spatially-Aware Fashion Concept Discovery Xintong Han, Zuxuan Wu, Phoenix X. Huang, Xiao Zhang, Menglong Zhu, Yuan Li, Yang Zhao, Larry S. Davis

ICCVW 2017 Learning Unified Embedding for Apparel Recognition Yang Song, Yuan Li, Bo Wu, Chao-Yeh Chen, Xiao Zhang, Hartwig Adam

IJCAI 2017 Opinion-Aware Knowledge Graph for Political Ideology Detection Wei Chen, Xiao Zhang, Tengjiao Wang, Bishan Yang, Yi Li

ICCV 2017 Range Loss for Deep Face Recognition with Long-Tailed Training Data Xiao Zhang, Zhiyuan Fang, Yandong Wen, Zhifeng Li, Yu Qiao

WACV 2014 A Lp-Norm MTMKL Framework for Simultaneous Detection of Multiple Facial Action Units Xiao Zhang, Mohammad H. Mahoor, Seyed Mohammad Mavadati, Jeffrey F. Cohn

CVPR 2012 QsRank: Query-Sensitive Hash Code Ranking for Efficient ∊-Neighbor Search Xiao Zhang, Lei Zhang, Heung-Yeung Shum

CVPR 2010 Interest Seam Image Xiao Zhang, Gang Hua, Lei Zhang, Heung-Yeung Shum

ICCV 2009 Efficient Indexing for Large Scale Visual Search Xiao Zhang, Zhiwei Li, Lei Zhang, Wei-Ying Ma, Heung-Yeung Shum

ICCV 2009 Spectral Error Correcting Output Codes for Efficient Multiclass Recognition Xiao Zhang, Lin Liang, Heung-Yeung Shum

CVPR 2008 L1 Regularized Projection Pursuit for Additive Model Learning Xiao Zhang, Lin Liang, Xiaoou Tang, Heung-Yeung Shum