Xia, Shu-Tao

112 publications

ICLR 2026 Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models Xinhao Zhong, Yimin Zhou, Zhiqi Zhang, Junhao Li, Sun Yi, Bin Chen, Shu-Tao Xia, Xuan Wang, Ke Xu

ICLR 2026 Distribution-Informed Online Conformal Prediction Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou

ICLR 2026 NextStep-1: Toward Autoregressive Image Generation with Continuous Tokens at Scale Chunrui Han, Guopeng Li, Jingwei Wu, Quan Sun, Yan Cai, Yuang Peng, Zheng Ge, Deyu Zhou, Haomiao Tang, Hongyu Zhou, Kenkun Liu, Shu-Tao Xia, Binxing Jiao, Daxin Jiang, Xiangyu Zhang, Yibo Zhu

ICLR 2026 PromptHub: Enhancing Multi-Prompt Visual In-Context Learning with Locality-Aware Fusion, Concentration and Alignment Tianci Luo, Jinpeng Wang, Shiyu Qin, Niu Lian, Yan Feng, Bin Chen, Chun Yuan, Shu-Tao Xia

ICLR 2026 RelayFormer: A Unified Local-Global Attention Framework for Scalable Image and Video Manipulation Localization Wen Huang, Jiarui Yang, Tao Dai, Jiawei Li, Shaoxiong Zhan, Bin Wang, Shu-Tao Xia

ICLR 2026 SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shu-Tao Xia, Zhi Wang, Wenwu Zhu

ICLR 2026 SparseEval: Efficient Evaluation of Large Language Models by Sparse Optimization Taolin Zhang, Hang Guo, Wang Lu, Tao Dai, Shu-Tao Xia, Jindong Wang

ICML 2025 3D-LMVIC: Learning-Based Multi-View Image Compression with 3D Gaussian Geometric Priors Yujun Huang, Bin Chen, Niu Lian, Xin Wang, Baoyi An, Tao Dai, Shu-Tao Xia

CVPR 2025 Adapting Pre-Trained 3D Models for Point Cloud Video Understanding via Cross-Frame Spatio-Temporal Perception Baixuan Lv, Yaohua Zha, Tao Dai, Xue Yuerong, Ke Chen, Shu-Tao Xia

ICLR 2025 An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression Xiang Liu, Bin Chen, Zimo Liu, Yaowei Wang, Shu-Tao Xia

CVPR 2025 AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen

AAAI 2025 CALF: Aligning LLMs for Time Series Forecasting via Cross-Modal Fine-Tuning Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia

ICCV 2025 Cassic: Towards Content-Adaptive State-Space Models for Learned Image Compression Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shu-Tao Xia, Yaowei Wang

AAAI 2025 Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shu-Tao Xia

ICLR 2025 DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia

AAAI 2025 Efficient Self-Supervised Video Hashing with Selective State Spaces Jinpeng Wang, Niu Lian, Jun Li, Yuting Wang, Yan Feng, Bin Chen, Yongbing Zhang, Shu-Tao Xia

CVPR 2025 Embracing Collaboration over Competition: Condensing Multiple Prompts for Visual In-Context Learning Jinpeng Wang, Tianci Luo, Yaohua Zha, Yan Feng, Ruisheng Luo, Bin Chen, Tao Dai, Long Chen, Yaowei Wang, Shu-Tao Xia

ICCV 2025 Enhancing Partially Relevant Video Retrieval with Hyperbolic Learning Jun Li, Jinpeng Wang, Chaolei Tan, Niu Lian, Long Chen, Yaowei Wang, Min Zhang, Shu-Tao Xia, Bin Chen

ICLR 2025 Error-Quantified Conformal Inference for Time Series Junxi Wu, Dongjian Hu, Yajie Bao, Shu-Tao Xia, Changliang Zou

ICCV 2025 FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning Hang Guo, Yawei Li, Taolin Zhang, Jiangshan Wang, Tao Dai, Shu-Tao Xia, Luca Benini

AAAI 2025 GCD-Sampling: A General Cross-Scale Decoupled Sampling for Point Cloud Tao Dai, Yanzi Wang, Jianyu Xiong, Yaohua Zha, Shu-Tao Xia, Zexuan Zhu

ICLR 2025 Going Beyond Feature Similarity: Effective Dataset Distillation Based on Class-Aware Conditional Mutual Information Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang

NeurIPS 2025 Grounding Language with Vision: A Conditional Mutual Information Calibrated Decoding Strategy for Reducing Hallucinations in LVLMs Hao Fang, Changle Zhou, Jiawei Kong, Kuofeng Gao, Bin Chen, Tao Liang, Guojun Ma, Shu-Tao Xia

CVPR 2025 Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia

ICML 2025 IntLoRA: Integral Low-Rank Adaptation of Quantized Diffusion Models Hang Guo, Yawei Li, Tao Dai, Shu-Tao Xia, Luca Benini

CVPR 2025 MambaIRv2: Attentive State Space Restoration Hang Guo, Yong Guo, Yaohua Zha, Yulun Zhang, Wenbo Li, Tao Dai, Shu-Tao Xia, Yawei Li

ICCV 2025 One Perturbation Is Enough: On Generating Universal Adversarial Perturbations Against Vision-Language Pre-Training Models Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Hao Wu, Shu-Tao Xia, Ke Xu

CVPR 2025 PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter Yaohua Zha, Yanzi Wang, Hang Guo, Jinpeng Wang, Tao Dai, Bin Chen, Zhihao Ouyang, Xue Yuerong, Ke Chen, Shu-Tao Xia

IJCAI 2025 Point Cloud Mixture-of-Domain-Experts Model for 3D Self-Supervised Learning Yaohua Zha, Tao Dai, Hang Guo, Yanzi Wang, Bin Chen, Ke Chen, Shu-Tao Xia

AAAI 2025 Pre-Trained Vision-Language Models as Noisy Partial Annotators Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia

CVPR 2025 Protecting Your Video Content: Disrupting Automated Video-Based LLM Annotations Haitong Liu, Kuofeng Gao, Yang Bai, Jinmin Li, Jinxiao Shan, Tao Dai, Shu-Tao Xia

ICLR 2025 Stealthy Shield Defense: A Conditional Mutual Information-Based Approach Against Black-Box Model Inversion Attacks Tianqu Zhuang, Hongyao Yu, Yixiang Qiu, Hao Fang, Bin Chen, Shu-Tao Xia

ICML 2025 TimeBridge: Non-Stationarity Matters for Long-Term Time Series Forecasting Peiyuan Liu, Beiliang Wu, Yifan Hu, Naiqi Li, Tao Dai, Jigang Bao, Shu-Tao Xia

ICML 2025 TimeFilter: Patch-Specific Spatial-Temporal Graph Filtration for Time Series Forecasting Yifan Hu, Guibin Zhang, Peiyuan Liu, Disen Lan, Naiqi Li, Dawei Cheng, Tao Dai, Shu-Tao Xia, Shirui Pan

ECCV 2024 A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia

ICLRW 2024 Adversarial Robustness for Visual Grounding of Multimodal Large Language Models Kuofeng Gao, Yang Bai, Jiawang Bai, Yong Yang, Shu-Tao Xia

CVPR 2024 BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu

NeurIPS 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping Taolin Zhang, Jinpeng Wang, Hang Guo, Tao Dai, Bin Chen, Shu-tao Xia

IJCAI 2024 Boundary-Aware Decoupled Flow Networks for Realistic Extreme Rescaling Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo

ECCV 2024 CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia

AAAI 2024 Controller-Guided Partial Label Consistency Regularization with Unlabeled Data Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia

NeurIPS 2024 DDN: Dual-Domain Dynamic Normalization for Non-Stationary Time Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Xue Yuerong, Shu-Tao Xia, Zexuan Zhu

NeurIPS 2024 Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor Keji He, Kehan Chen, Jiawang Bai, Yan Huang, Qi Wu, Shu-Tao Xia, Liang Wang

AAAI 2024 GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

IJCAI 2024 GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia

ICLR 2024 Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu

IJCAI 2024 Invertible Residual Rescaling Models Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang

NeurIPS 2024 LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia

ECCV 2024 MambaIR: A Simple Baseline for Image Restoration with State-Space Model Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia

CVPR 2024 Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-Trained Vision Transfomers Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia

NeurIPS 2024 Parameter Efficient Adaptation for Image Restoration with Heterogeneous Mixture-of-Experts Hang Guo, Tao Dai, Yuanchao Bai, Bin Chen, Xudong Ren, Zexuan Zhu, Shu-Tao Xia

ECCV 2024 Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia

ICLR 2024 Periodicity Decoupling Framework for Long-Term Series Forecasting Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia

NeurIPS 2024 ReFIR: Grounding Large Restoration Models with Retrieval Augmentation Hang Guo, Tao Dai, Zhihao Ouyang, Taolin Zhang, Yaohua Zha, Bin Chen, Shu-tao Xia

AAAI 2024 Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

ICLR 2024 Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia

ICMLW 2024 Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-Based LLMs Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shu-Tao Xia

AAAI 2024 Vision-Language Pre-Training with Object Contrastive Learning for 3D Scene Understanding Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia

CVPR 2023 Backdoor Defense via Adaptively Splitting Poisoned Dataset Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia

ICLRW 2023 BackdoorBox: A Python Toolbox for Backdoor Learning Yiming Li, Mengxi Ya, Yang Bai, Yong Jiang, Shu-Tao Xia

AAAI 2023 Contrastive Masked Autoencoders for Self-Supervised Video Hashing Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia

ICLR 2023 Delta: Degradation-Free Fully Test-Time Adaptation Bowen Zhao, Chen Chen, Shu-Tao Xia

NeurIPS 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection Is Closed at Hand Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li

AAAI 2023 FSR: A General Frequency-Oriented Framework to Accelerate Image Super-Resolution Networks Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia

ICCV 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia

ICCV 2023 Instance-Aware Dynamic Prompt Tuning for Pre-Trained Point Cloud Models Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia

ICLR 2023 Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia

AAAI 2023 Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia

CVPR 2023 Learning Transferable Spatiotemporal Representations from Natural Script Knowledge Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge

ICCV 2023 One-Bit Flip Is All You Need: When Bit-Flip Attack Meets Model Training Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia

AAAI 2023 Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia

ICCV 2023 Towards Robust Model Watermark via Reducing Parametric Vulnerability Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia

IJCAI 2023 Towards Robust Scene Text Image Super-Resolution via Explicit Location Enhancement Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia

ICCV 2023 Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia

NeurIPSW 2022 BAAT: Towards Sample-Specific Backdoor Attack with Clean Labels Yiming Li, Mingyan Zhu, Chengxiao Luo, Haiqin Weng, Yong Jiang, Tao Wei, Shu-Tao Xia

CVPR 2022 Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia

AAAI 2022 Contrastive Quantization with Code Memory for Unsupervised Image Retrieval Jinpeng Wang, Ziyun Zeng, Bin Chen, Tao Dai, Shu-Tao Xia

UAI 2022 Deep Dirichlet Process Mixture Models Naiqi Li, Wenjie Li, Yong Jiang, Shu-Tao Xia

AAAI 2022 Defending Against Model Stealing via Verifying Embedded External Features Yiming Li, Linghui Zhu, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2022 Few-Shot Backdoor Attacks on Visual Object Tracking Yiming Li, Haoxiang Zhong, Xingjun Ma, Yong Jiang, Shu-Tao Xia

ECCV 2022 Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips Jiawang Bai, Kuofeng Gao, Dihong Gong, Shu-Tao Xia, Zhifeng Li, Wei Liu

ECCV 2022 Improving Vision Transformers by Revisiting High-Frequency Components Jiawang Bai, Li Yuan, Shu-Tao Xia, Shuicheng Yan, Zhifeng Li, Wei Liu

ECCV 2022 NeXT: Towards High Quality Neural Radiance Fields via Multi-Skip Transformer Yunxiao Wang, Yanjie Li, Peidong Liu, Tao Dai, Shu-Tao Xia

CVPR 2022 PILC: Practical Image Lossless Compression with an End-to-End GPU Oriented Neural Framework Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shu-Tao Xia

ECCV 2022 SimCC: A Simple Coordinate Classification Perspective for Human Pose Estimation Yanjie Li, Sen Yang, Peidong Liu, Shoukui Zhang, Yunxiao Wang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia

NeurIPS 2022 Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection Yiming Li, Yang Bai, Yong Jiang, Yong Yang, Shu-Tao Xia, Bo Li

NeurIPS 2021 Clustering Effect of Adversarial Robust Models Yang Bai, Xin Yan, Yong Jiang, Shu-Tao Xia, Yisen Wang

ICMLW 2021 Defending Against Model Stealing via Verifying Embedded External Features Linghui Zhu, Yiming Li, Xiaojun Jia, Yong Jiang, Shu-Tao Xia, Xiaochun Cao

ICLR 2021 Improving Adversarial Robustness via Channel-Wise Activation Suppressing Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang

ICLR 2021 Targeted Attack Against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

ICCV 2021 TokenPose: Learning Keypoint Tokens for Human Pose Estimation Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou

ICMLW 2021 Universal Adversarial Head: Practical Protection Against Video Data Leakage Jiawang Bai, Bin Chen, Dongxian Wu, Chaoning Zhang, Shu-Tao Xia

AAAI 2020 Adversarial Attack on Deep Product Quantization Network for Image Retrieval Yan Feng, Bin Chen, Tao Dai, Shu-Tao Xia

NeurIPS 2020 Adversarial Weight Perturbation Helps Robust Generalization Dongxian Wu, Shu-Tao Xia, Yisen Wang

ECCV 2020 Improving Query Efficiency of Black-Box Adversarial Attack Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo

CVPR 2020 Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia

CVPR 2020 One-Shot Adversarial Attacks on Visual Tracking with Dual Attention Xuesong Chen, Xiyu Yan, Feng Zheng, Yong Jiang, Shu-Tao Xia, Yong Zhao, Rongrong Ji

ICLR 2020 Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

NeurIPS 2020 Stochastic Deep Gaussian Processes over Graphs Naiqi Li, Wenjie Li, Jifeng Sun, Yinghua Gao, Yong Jiang, Shu-Tao Xia

ECCV 2020 Targeted Attack for Deep Hashing Based Retrieval Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-Tao Xia, En-Hui Yang

ECCV 2020 Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters Haoyu Liang, Zhihao Ouyang, Yuyuan Zeng, Hang Su, Zihao He, Shu-Tao Xia, Jun Zhu, Bo Zhang

IJCAI 2019 Automatic Grassland Degradation Estimation Using Deep Learning Xiyu Yan, Yong Jiang, Shuai Chen, Zihao He, Chunmei Li, Shu-Tao Xia, Tao Dai, Shuo Dong, Feng Zheng

ICCV 2019 Hilbert-Based Generative Defense for Adversarial Examples Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shu-Tao Xia, Yong Jiang

ICCVW 2019 Image Super-Resolution via Residual Block Attention Networks Tao Dai, Hua Zha, Yong Jiang, Shu-Tao Xia

CVPR 2019 Second-Order Attention Network for Single Image Super-Resolution Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang

NeurIPS 2018 BML: A High-Performance, Low-Cost Gradient Synchronization Algorithm for DML Training Songtao Wang, Dan Li, Yang Cheng, Jinkun Geng, Yanshu Wang, Shuai Wang, Shu-Tao Xia, Jianping Wu

CVPR 2018 Iterative Learning with Open-Set Noisy Labels Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

NeurIPS 2017 Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex Chaobing Song, Shaobo Cui, Yong Jiang, Shu-Tao Xia

IJCAI 2017 Robust Survey Aggregation with Student-T Distribution and Sparse Representation Qingtao Tang, Tao Dai, Li Niu, Yisen Wang, Shu-Tao Xia, Jianfei Cai

IJCAI 2017 Student-T Process Regression with Student-T Likelihood Qingtao Tang, Li Niu, Yisen Wang, Tao Dai, Wangpeng An, Jianfei Cai, Shu-Tao Xia

AAAI 2017 Unbiased Multivariate Correlation Analysis Yisen Wang, Simone Romano, Vinh Nguyen, James Bailey, Xingjun Ma, Shu-Tao Xia

IJCAI 2016 Bernoulli Random Forests: Closing the Gap Between Theoretical Consistency and Empirical Soundness Yisen Wang, Qingtao Tang, Shu-Tao Xia, Jia Wu, Xingquan Zhu