Wang, Xiao

140 publications

CVPR 2025 CXPMRG-Bench: Pre-Training and Benchmarking for X-Ray Medical Report Generation on CheXpert Plus Dataset Xiao Wang, Fuling Wang, Yuehang Li, Qingchuan Ma, Shiao Wang, Bo Jiang, Jin Tang

ICML 2025 Censor Dependent Variational Inference Chuanhui Liu, Xiao Wang

ICML 2025 Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese, Xiao Wang, Adrian Weller, Nicolas Papernot

ICML 2025 Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games Yi Feng, Kaito Fujii, Stratis Skoulakis, Xiao Wang, Volkan Cevher

TMLR 2025 Doubly Robust Conditional VAE via Decoder Calibration: An Implicit KL Annealing Approach Chuanhui Liu, Xiao Wang

ICCV 2025 EMatch: A Unified Framework for Event-Based Optical Flow and Stereo Matching Pengjie Zhang, Lin Zhu, Xiao Wang, Lizhi Wang, Hua Huang

ICML 2025 EvFocus: Learning to Reconstruct Sharp Images from Out-of-Focus Event Streams Lin Zhu, Xiantao Ma, Xiao Wang, Lizhi Wang, Hua Huang

ICML 2025 HGOT: Self-Supervised Heterogeneous Graph Neural Network with Optimal Transport Yanbei Liu, Chongxu Wang, Zhitao Xiao, Lei Geng, Yanwei Pang, Xiao Wang

IJCAI 2025 HeTa: Relation-Wise Heterogeneous Graph Foundation Attack Model Yuling Wang, Zihui Chen, Pengfei Jiao, Xiao Wang

AAAI 2025 Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu

AAAI 2025 Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management Yi Feng, Xiao Wang, Tian Xie

NeurIPS 2025 MoRE-Brain: Routed Mixture of Experts for Interpretable and Generalizable Cross-Subject fMRI Visual Decoding Yuxiang Wei, Yanteng Zhang, Xi Xiao, Tianyang Wang, Xiao Wang, Vince Calhoun

CVPR 2025 Object Detection Using Event Camera: A MoE Heat Conduction Based Detector and a New Benchmark Dataset Xiao Wang, Yu Jin, Wentao Wu, Wei Zhang, Lin Zhu, Bo Jiang, Yonghong Tian

ICLR 2025 On Large Language Model Continual Unlearning Chongyang Gao, Lixu Wang, Kaize Ding, Chenkai Weng, Xiao Wang, Qi Zhu

JMLR 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity Qiankun Shi, Jie Peng, Kun Yuan, Xiao Wang, Qing Ling

AAAI 2025 Pedestrian Attribute Recognition: A New Benchmark Dataset and a Large Language Model Augmented Framework Jiandong Jin, Xiao Wang, Qian Zhu, Haiyang Wang, Chenglong Li

NeurIPS 2025 Pin the Tail on the Model: Blindfolded Repair of User-Flagged Failures in Text-to-Image Services Gefei Tan, Ali Shahin Shamsabadi, Ellen Kolesnikova, Hamed Haddadi, Xiao Wang

AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective Zhongjian Zhang, Mengmei Zhang, Xiao Wang, Lingjuan Lyu, Bo Yan, Junping Du, Chuan Shi

NeurIPS 2025 Rethinking Scale-Aware Temporal Encoding for Event-Based Object Detection Lin Zhu, LongTengyu, Xiao Wang, Lizhi Wang, Hua Huang

NeurIPS 2025 SHF: Symmetrical Hierarchical Forest with Pretrained Vision Transformer Encoder for High-Resolution Medical Segmentation Enzhi Zhang, Peng Chen, Rui Zhong, Du Wu, Jun Igarashi, Isaac Lyngaas, Xiao Wang, Masaharu Munetomo, Mohamed Wahib

CVPR 2025 Split Adaptation for Pre-Trained Vision Transformers Lixu Wang, Bingqi Shang, Yi Li, Payal Mohapatra, Wei Dong, Xiao Wang, Qi Zhu

AAAI 2025 TGBFormer: Transformer-GraphFormer Blender Network for Video Object Detection Qiang Qi, Xiao Wang

AAAI 2025 TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification Xiao Wang, Lekai Liu, Bin Yang, Mang Ye, Zheng Wang, Xin Xu

NeurIPS 2025 Unifying and Enhancing Graph Transformers via a Hierarchical Mask Framework Yujie Xing, Xiao Wang, Bin Wu, Hai Huang, Chuan Shi

ECML-PKDD 2025 Variance-Aware Noisy Training: Hardening DNNs Against Unstable Analog Computations Xiao Wang, Hendrik Borras, Bernhard Klein, Holger Fröning

TMLR 2025 Wasserstein Coreset via Sinkhorn Loss Haoyun Yin, Yixuan Qiu, Xiao Wang

AAAI 2024 A Generalized Neural Diffusion Framework on Graphs Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi

UAI 2024 Bias-Aware Boolean Matrix Factorization Using Disentangled Representation Learning Xiao Wang, Jia Wang, Tong Zhao, Yijie Wang, Nan Zhang, Yong Zang, Sha Cao, Chi Zhang

NeurIPS 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

ICMLW 2024 CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models Peng Xia, Ze Chen, Juanxi Tian, Gong Yangrui, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao

ICLR 2024 CLIP the Bias: How Useful Is Balancing Data in Multimodal Learning? Ibrahim Alabdulmohsin, Xiao Wang, Andreas Peter Steiner, Priya Goyal, Alexander D'Amour, Xiaohua Zhai

ICLRW 2024 Confidential-DPproof : Confidential Proof of Differentially Private Training Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller

ICLR 2024 Confidential-DPproof: Confidential Proof of Differentially Private Training Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller

CVPR 2024 Event Stream-Based Visual Object Tracking: A High-Resolution Benchmark Dataset and a Novel Baseline Xiao Wang, Shiao Wang, Chuanming Tang, Lin Zhu, Bo Jiang, Yonghong Tian, Jin Tang

AAAI 2024 Finding Visual Saliency in Continuous Spike Stream Lin Zhu, Xianzhang Chen, Xiao Wang, Hua Huang

AAAI 2024 Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi

AAAI 2024 HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors Xiao Wang, Zongzhen Wu, Bo Jiang, Zhimin Bao, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian

ECCVW 2024 Ig3D: Integrating 3D Face Representations in Facial Expression Inference Lu Dong, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju, Ifeoma Nwogu

ICLR 2024 Improving Generalization of Alignment with Human Preferences Through Group Invariant Learning Rui Zheng, Wei Shen, Yuan Hua, Wenbin Lai, Shihan Dou, Yuhao Zhou, Zhiheng Xi, Xiao Wang, Haoran Huang, Tao Gui, Qi Zhang, Xuanjing Huang

TMLR 2024 Inductive Global and Local Manifold Approximation and Projection Jungeum Kim, Xiao Wang

UAI 2024 Last-Iterate Convergence Separation Between Extra-Gradient and Optimism in Constrained Periodic Games Yi Feng, Ping Li, Ioannis Panageas, Xiao Wang

ICML 2024 Less Is More: On the Over-Globalizing Problem in Graph Transformers Yujie Xing, Xiao Wang, Yibo Li, Hai Huang, Chuan Shi

ICML 2024 Linear Alignment: A Closed-Form Solution for Aligning Human Preferences Without Tuning and Feedback Songyang Gao, Qiming Ge, Wei Shen, Shihan Dou, Junjie Ye, Xiao Wang, Rui Zheng, Yicheng Zou, Zhi Chen, Hang Yan, Qi Zhang, Dahua Lin

NeurIPS 2024 LocCa: Visual Pretraining with Location-Aware Captioners Bo Wan, Michael Tschannen, Yongqin Xian, Filip Pavetic, Ibrahim Alabdulmohsin, Xiao Wang, André Susano Pinto, Andreas Steiner, Lucas Beyer, Xiaohua Zhai

NeurIPS 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng

NeurIPS 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models Angéline Pouget, Lucas Beyer, Emanuele Bugliarello, Xiao Wang, Andreas Peter Steiner, Xiaohua Zhai, Ibrahim Alabdulmohsin

CVPR 2024 On Scaling up a Multilingual Vision and Language Model Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, Aj Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICML 2024 Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader Meets Heisenberg Yi Feng, Georgios Piliouras, Xiao Wang

NeurIPS 2024 ProxyFusion: Face Feature Aggregation Through Sparse Experts Bhavin Jawade, Alexander Stone, Deen Dayal Mohan, Xiao Wang, Srirangaraj Setlur, Venu Govindaraju

ICML 2024 Riemannian Accelerated Zeroth-Order Algorithm: Improved Robustness and Lower Query Complexity Chang He, Zhaoye Pan, Xiao Wang, Bo Jiang

ICLRW 2024 Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models Xianjun Yang, Xiao Wang, Qi Zhang, Linda Ruth Petzold, William Yang Wang, Xun Zhao, Dahua Lin

IJCAI 2024 Spatial-Temporal Perceiving: Deciphering User Hierarchical Intent in Session-Based Recommendation Xiao Wang, Tingting Dai, Qiao Liu, Shuang Liang

AAAI 2024 Structural Information Guided Multimodal Pre-Training for Vehicle-Centric Perception Xiao Wang, Wentao Wu, Chenglong Li, Zhicheng Zhao, Zhe Chen, Yukai Shi, Jin Tang

ECCV 2024 Temporal Residual Guided Diffusion Framework for Event-Driven Video Reconstruction Lin Zhu, Yunlong Zheng, Yijun Zhang, Xiao Wang, Lizhi Wang, Hua Huang

ICML 2024 Training Large Language Models for Reasoning Through Reverse Curriculum Reinforcement Learning Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang

NeurIPS 2024 Uncovering the Redundancy in Graph Self-Supervised Learning Models Zhibiao Wang, Xiao Wang, Haoyue Deng, Nian Liu, Shirui Pan, Chunming Hu

JMLR 2024 Zeroth-Order Stochastic Approximation Algorithms for DR-Submodular Optimization Yuefang Lian, Xiao Wang, Dachuan Xu, Zhongrui Zhao

ICLR 2023 Confidential-PROFITT: Confidential PROof of FaIr Training of Trees Ali Shahin Shamsabadi, Sierra Calanda Wyllie, Nicholas Franzese, Natalie Dullerud, Sébastien Gambs, Nicolas Papernot, Xiao Wang, Adrian Weller

CVPR 2023 Curricular Object Manipulation in LiDAR-Based Object Detection Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang

ICLR 2023 Deja Vu: Continual Model Generalization for Unseen Domains Chenxi Liu, Lixu Wang, Lingjuan Lyu, Chen Sun, Xiao Wang, Qi Zhu

AAAI 2023 Directed Acyclic Graph Structure Learning from Dynamic Graphs Shaohua Fan, Shuyang Zhang, Xiao Wang, Chuan Shi

ECML-PKDD 2023 Duplicate Multi-Modal Entities Detection with Graph Contrastive Self-Training Network Shuyun Gu, Xiao Wang, Chuan Shi

ICMLW 2023 Embedding Surfaces by Optimizing Neural Networks with Prescribed Riemannian Metric and Beyond Yi Feng, Sizhe Li, Ioannis Panageas, Xiao Wang

ICML 2023 Finding the Missing-Half: Graph Complementary Learning for Homophily-Prone and Heterophily-Prone Graphs Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan

IJCAI 2023 Intent-Aware Recommendation via Disentangled Graph Contrastive Learning Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu

CVPRW 2023 Learning CLIP Guided Visual-Text Fusion Transformer for Video-Based Pedestrian Attribute Recognition Jun Zhu, Jiandong Jin, Zihan Yang, Xiaohao Wu, Xiao Wang

NeurIPS 2023 Learning Invariant Molecular Representation in Latent Discrete Space Xiang Zhuang, Qiang Zhang, Keyan Ding, Yatao Bian, Xiao Wang, Jingsong Lv, Hongyang Chen, Huajun Chen

NeurIPS 2023 Learning Invariant Representations of Graph Neural Networks via Cluster Generalization Donglin Xia, Xiao Wang, Nian Liu, Chuan Shi

IJCAI 2023 Multi-Scale Subgraph Contrastive Learning Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao

NeurIPS 2023 On the Last-Iterate Convergence in Time-Varying Zero-Sum Games: Extra Gradient Succeeds Where Optimism Fails Yi Feng, Hu Fu, Qun Hu, Ping Li, Ioannis Panageas, Bo Peng, Xiao Wang

ICLR 2023 PaLI: A Jointly-Scaled Multilingual Language-Image Model Xi Chen, Xiao Wang, Soravit Changpinyo, Aj Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme Ruiz, Andreas Peter Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

NeurIPS 2023 Provable Training for Graph Contrastive Learning Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

TMLR 2023 Provably Safe Reinforcement Learning: Conceptual Analysis, Survey, and Benchmarking Hanna Krasowski, Jakob Thumm, Marlon Müller, Lukas Schäfer, Xiao Wang, Matthias Althoff

NeurIPS 2023 Robust and Actively Secure Serverless Collaborative Learning Nicholas Franzese, Adam Dziedzic, Christopher A. Choquette-Choo, Mark R Thomas, Muhammad Ahmad Kaleem, Stephan Rabanser, Congyu Fang, Somesh Jha, Nicolas Papernot, Xiao Wang

ICML 2023 Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

ICML 2023 Semi Bandit Dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees. Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher

NeurIPS 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Steiner, Jesse Berent, Rodolphe Jenatton, Effrosyni Kokiopoulou

ICMLW 2023 Three Towers: Flexible Contrastive Learning with Pretrained Image Models Jannik Kossen, Mark Collier, Basil Mustafa, Xiao Wang, Xiaohua Zhai, Lucas Beyer, Andreas Peter Steiner, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou

IJCAI 2022 Accelerated Multiplicative Weights Update Avoids Saddle Points Almost Always Yi Feng, Ioannis Panageas, Xiao Wang

ICML 2022 AdaGrad Avoids Saddle Points Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang

NeurIPS 2022 Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang

ACML 2022 Embedding Adaptation Network with Transformer for Few-Shot Action Recognition Rongrong Jin, Xiao Wang, Guangge Wang, Yang Lu, Hai-Miao Hu, Hanzi Wang

CVPR 2022 Event-Based Video Reconstruction via Potential-Assisted Spiking Neural Network Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian

CVPR 2022 Federated Class-Incremental Learning Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu

CVPR 2022 LiT: Zero-Shot Transfer with Locked-Image Text Tuning Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer

ICLR 2022 Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization Lixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang, Qi Zhu

CVPR 2022 On the Importance of Asymmetry for Siamese Representation Learning Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen

AAAI 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou

AAAI 2022 Retinomorphic Object Detection in Asynchronous Visual Streams Jianing Li, Xiao Wang, Lin Zhu, Jia Li, Tiejun Huang, Yonghong Tian

NeurIPS 2022 Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu, Xiao Wang, Deyu Bo, Chuan Shi, Jian Pei

AAAI 2022 Robust Heterogeneous Graph Neural Networks Against Adversarial Attacks Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou

ECCVW 2022 See Finer, See More: Implicit Modality Alignment for Text-Based Person Retrieval Xiujun Shu, Wei Wen, Haoqian Wu, Keyu Chen, Yiran Song, Ruizhi Qiao, Bo Ren, Xiao Wang

IJCAI 2022 Self-Supervised Graph Neural Networks for Multi-Behavior Recommendation Shuyun Gu, Xiao Wang, Chuan Shi, Ding Xiao

ECCV 2022 Simple Open-Vocabulary Object Detection with Vision Transformers Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, Xiao Wang, Xiaohua Zhai, Thomas Kipf, Neil Houlsby

NeurIPS 2022 Uncovering the Structural Fairness in Graph Contrastive Learning Ruijia Wang, Xiao Wang, Chuan Shi, Le Song

AISTATS 2021 Last Iterate Convergence in No-Regret Learning: Constrained Min-Max Optimization for Convex-Concave Landscapes Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

CVPR 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi

AAAI 2021 Addressing Class Imbalance in Federated Learning Lixu Wang, Shichao Xu, Xiao Wang, Qi Zhu

NeurIPS 2021 Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration Xiao Wang, Hongrui Liu, Chuan Shi, Cheng Yang

AAAI 2021 Beyond Low-Frequency Information in Graph Convolutional Networks Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

ICLR 2021 CaPC Learning: Confidential and Private Collaborative Learning Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang

IJCAI 2021 Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin

IJCAI 2021 CuCo: Graph Representation with Curriculum Contrastive Learning Guanyi Chu, Xiao Wang, Chuan Shi, Xunqiang Jiang

AAAI 2021 Heterogeneous Graph Structure Learning for Graph Neural Networks Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

ICCV 2021 Learn to Match: Automatic Matching Network Design for Visual Tracking Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu

ICCV 2021 NeuSpike-Net: High Speed Video Reconstruction via Bio-Inspired Neuromorphic Cameras Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian

IJCAI 2021 Temporal Heterogeneous Information Network Embedding Hong Huang, Ruize Shi, Wei Zhou, Xiao Wang, Hai Jin, Xiaoming Fu

ACML 2021 Temporal Relation Based Attentive Prototype Network for Few-Shot Action Recognition Guangge Wang, Haihui Ye, Xiao Wang, Weirong Ye, Hanzi Wang

CVPR 2021 Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu

NeurIPS 2021 Universal Graph Convolutional Networks Di Jin, Zhizhi Yu, Cuiying Huo, Rui Wang, Xiao Wang, Dongxiao He, Jiawei Han

AAAI 2021 Very Important Person Localization in Unconstrained Conditions: A New Benchmark Xiao Wang, Zheng Wang, Toshihiko Yamasaki, Wenjun Zeng

AAAI 2021 Who You Would like to Share with? a Study of Share Recommendation in Social E-Commerce Houye Ji, Junxiong Zhu, Xiao Wang, Chuan Shi, Bai Wang, Xiaoye Tan, Yanghua Li, Shaojian He

IJCAI 2020 Decorrelated Clustering with Data Selection Bias Xiao Wang, Shaohua Fan, Kun Kuang, Chuan Shi, Jiawei Liu, Bai Wang

ICLR 2020 Depth-Width Trade-Offs for ReLU Networks via Sharkovsky's Theorem Vaggos Chatziafratis, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang

NeurIPS 2020 Fast Convergence of Langevin Dynamics on Manifold: Geodesics Meet Log-Sobolev Xiao Wang, Qi Lei, Ioannis Panageas

AAAI 2020 Independence Promoted Graph Disentangled Networks Yanbei Liu, Xiao Wang, Shu Wu, Zhitao Xiao

ICLR 2020 Measuring Compositional Generalization: A Comprehensive Method on Realistic Data Daniel Keysers, Nathanael Schärli, Nathan Scales, Hylke Buisman, Daniel Furrer, Sergii Kashubin, Nikola Momchev, Danila Sinopalnikov, Lukasz Stafiniak, Tibor Tihon, Dmitry Tsarkov, Xiao Wang, Marc van Zee, Olivier Bousquet

IJCAI 2020 Motif-Preserving Temporal Network Embedding Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin

AAAI 2020 Multi-Component Graph Convolutional Collaborative Filtering Xiao Wang, Ruijia Wang, Chuan Shi, Guojie Song, Qingyong Li

IJCAI 2020 Network Schema Preserving Heterogeneous Information Network Embedding Jianan Zhao, Xiao Wang, Chuan Shi, Zekuan Liu, Yanfang Ye

AAAI 2020 Stochastic Approximate Gradient Descent via the Langevin Algorithm Yixuan Qiu, Xiao Wang

ICLR 2020 Unbiased Contrastive Divergence Algorithm for Training Energy-Based Latent Variable Models Yixuan Qiu, Lingsong Zhang, Xiao Wang

IJCAI 2020 When Pedestrian Detection Meets Nighttime Surveillance: A New Benchmark Xiao Wang, Jun Chen, Zheng Wang, Wu Liu, Shin'ichi Satoh, Chao Liang, Chia-Wen Lin

NeurIPS 2019 First-Order Methods Almost Always Avoid Saddle Points: The Case of Vanishing Step-Sizes Ioannis Panageas, Georgios Piliouras, Xiao Wang

AAAI 2019 Hyperbolic Heterogeneous Information Network Embedding Xiao Wang, Yiding Zhang, Chuan Shi

ICML 2019 Multiplicative Weights Updates as a Distributed Constrained Optimization Algorithm: Convergence to Second-Order Stationary Points Almost Always Ioannis Panageas, Georgios Piliouras, Xiao Wang

IJCAI 2019 Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-Off for Stochastic Defenses Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin

IJCAI 2019 Theoretical Investigation of Generalization Bound for Residual Networks Hao Chen, Zhanfeng Mo, Zhouwang Yang, Xiao Wang

AISTATS 2018 On the Statistical Efficiency of Compositional Nonparametric Prediction Yixi Xu, Jean Honorio, Xiao Wang

IJCAI 2018 Power-Law Distribution Aware Trust Prediction Xiao Wang, Ziwei Zhang, Jing Wang, Peng Cui, Shiqiang Yang

IJCAI 2018 Ranking Preserving Nonnegative Matrix Factorization Jing Wang, Feng Tian, Weiwei Liu, Xiao Wang, Wenjie Zhang, Kenji Yamanishi

AAAI 2018 Structural Deep Embedding for Hyper-Networks Ke Tu, Peng Cui, Xiao Wang, Fei Wang, Wenwu Zhu

AAAI 2018 TIMERS: Error-Bounded SVD Restart on Dynamic Networks Ziwei Zhang, Peng Cui, Jian Pei, Xiao Wang, Wenwu Zhu

NeurIPS 2018 Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units Yixi Xu, Xiao Wang

AAAI 2017 Community Preserving Network Embedding Xiao Wang, Peng Cui, Jing Wang, Jian Pei, Wenwu Zhu, Shiqiang Yang

IJCAI 2017 Multi-Component Nonnegative Matrix Factorization Jing Wang, Feng Tian, Xiao Wang, Hongchuan Yu, Chang Hong Liu, Liang Yang

IJCAI 2016 Modularity Based Community Detection with Deep Learning Liang Yang, Xiaochun Cao, Dongxiao He, Chuan Wang, Xiao Wang, Weixiong Zhang

AAAI 2016 Semantic Community Identification in Large Attribute Networks Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang

AAAI 2012 Discovering Spammers in Social Networks Yin Zhu, Xiao Wang, Erheng Zhong, Nathan Nan Liu, He Li, Qiang Yang