Zhang, Xiang

74 publications

NeurIPS 2025 Bidirectional Representations Augmented Autoregressive Biological Sequence Generation Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Zhi Jin, ZhiQiang Gao, Nanqing Dong, Siqi Sun

ICML 2025 Curriculum Learning for Biological Sequence Prediction: The Case of De Novo Peptide Sequencing Xiang Zhang, Jiaqi Wei, Zijie Qiu, Sheng Xu, Nanqing Dong, Zhiqiang Gao, Siqi Sun

ICCV 2025 DepR: Depth Guided Single-View Scene Reconstruction with Instance-Level Diffusion Qingcheng Zhao, Xiang Zhang, Haiyang Xu, Zeyuan Chen, Jianwen Xie, Yuan Gao, Zhuowen Tu

NeurIPS 2025 DualEqui: A Dual-Space Hierarchical Equivariant Network for Large Biomolecules Junjie Xu, Jiahao Zhang, Mangal Prakash, Xiang Zhang, Suhang Wang

ICML 2025 Efficient Personalized Adaptation for Physiological Signal Foundation Model Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu

ICLR 2025 Humanizing the Machine: Proxy Attacks to Mislead LLM Detectors Tianchun Wang, Yuanzhou Chen, Zichuan Liu, Zhanwen Chen, Haifeng Chen, Xiang Zhang, Wei Cheng

AAAI 2025 Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning Xiang Zhang, Wanqing Zhao, Pengyang Li, Ying Liu, Hangzai Luo, Sheng Zhong, Jinye Peng, Jianping Fan

ICML 2025 L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang

ICCV 2025 Lay-Your-Scene: Natural Scene Layout Generation with Diffusion Transformers Divyansh Srivastava, Xiang Zhang, He Wen, Chenru Wen, Zhuowen Tu

CoRL 2025 MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention Yuxin Chen, Chen Tang, Jianglan Wei, Chenran Li, Thomas Tian, Xiang Zhang, Wei Zhan, Peter Stone, Masayoshi Tomizuka

NeurIPS 2025 OverLayBench: A Benchmark for Layout-to-Image Generation with Dense Overlaps Bingnan Li, Chen-Yu Wang, Haiyang Xu, Xiang Zhang, Ethan J. Armand, Divyansh Srivastava, Xiaojun Shan, Zeyuan Chen, Jianwen Xie, Zhuowen Tu

NeurIPS 2025 Retrieval Is Not Enough: Enhancing RAG Through Test-Time Critique and Optimization Jiaqi Wei, Hao Zhou, Xiang Zhang, Di Zhang, Zijie Qiu, Noah Wei, Jinzhe Li, Wanli Ouyang, Siqi Sun

NeurIPS 2025 STAR: A Benchmark for Astronomical Star Fields Super-Resolution Kuocheng Wu, Guohang Zhuang, Jinyang Huang, Xiang Zhang, Wanli Ouyang, Yan Lu

WACV 2025 Towards Accurate Unified Anomaly Segmentation Wenxin Ma, Qingsong Yao, Xiang Zhang, Zhelong Huang, Zihang Jiang, S.Kevin Zhou

AAAI 2025 Transtreaming: Adaptive Delay-Aware Transformer for Real-Time Streaming Perception Xiang Zhang, Yufei Cui, Chenchen Fu, Zihao Wang, Yuyang Sun, Xue Liu, Weiwei Wu

NeurIPS 2025 UGM2N: An Unsupervised and Generalizable Mesh Movement Network via M-Uniform Loss Zhichao Wang, Xinhai Chen, Qinglin Wang, Xiang Gao, Qingyang Zhang, Menghan Jia, Xiang Zhang, Jie Liu

ICML 2025 Universal Biological Sequence Reranking for Improved De Novo Peptide Sequencing Zijie Qiu, Jiaqi Wei, Xiang Zhang, Sheng Xu, Kai Zou, Zhi Jin, Zhiqiang Gao, Nanqing Dong, Siqi Sun

ICCV 2025 VertexRegen: Mesh Generation with Continuous Level of Detail Xiang Zhang, Yawar Siddiqui, Armen Avetisyan, Chris Xie, Jakob Engel, Henry Howard-Jenkins

ICCV 2025 YOLO-Count: Differentiable Object Counting for Text-to-Image Generation Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu

CVPR 2024 Bayesian Diffusion Models for 3D Shape Reconstruction Haiyang Xu, Yu Lei, Zeyuan Chen, Xiang Zhang, Yue Zhao, Yilin Wang, Zhuowen Tu

NeurIPS 2024 BetterDepth: Plug-and-Play Diffusion Refiner for Zero-Shot Monocular Depth Estimation Xiang Zhang, Bingxin Ke, Hayko Riemenschneider, Nando Metzger, Anton Obukhov, Markus Gross, Konrad Schindler, Christopher Schroers

AAAI 2024 ContraNovo: A Contrastive Learning Approach to Enhance De Novo Peptide Sequencing Zhi Jin, Sheng Xu, Xiang Zhang, Tianze Ling, Nanqing Dong, Wanli Ouyang, Zhiqiang Gao, Cheng Chang, Siqi Sun

CPAL 2024 FIXED: Frustratingly Easy Domain Generalization with Mixup Wang Lu, Jindong Wang, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie

ECCV 2024 HiT-SR: Hierarchical Transformer for Efficient Image Super-Resolution Xiang Zhang, Yulun Zhang, Fisher Yu

NeurIPS 2024 Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification Yihe Wang, Nan Huang, Taida Li, Yujun Yan, Xiang Zhang

WACV 2024 Multimodal Channel-Mixing: Channel and Spatial Masked AutoEncoder on Facial Action Unit Detection Xiang Zhang, Huiyuan Yang, Taoyue Wang, Xiaotian Li, Lijun Yin

CVPRW 2024 OmniControlNet: Dual-Stage Integration for Conditional Image Generation Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu

CoRL 2024 Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning Yixiao Wang, Yifei Zhang, Mingxiao Huo, Thomas Tian, Xiang Zhang, Yichen Xie, Chenfeng Xu, Pengliang Ji, Wei Zhan, Mingyu Ding, Masayoshi Tomizuka

NeurIPS 2023 Certifiably Robust Graph Contrastive Learning Minhua Lin, Teng Xiao, Enyan Dai, Xiang Zhang, Suhang Wang

NeurIPS 2023 Contrast Everything: A Hierarchical Contrastive Framework for Medical Time-Series Yihe Wang, Yu Han, Haishuai Wang, Xiang Zhang

CoRL 2023 Efficient Sim-to-Real Transfer of Contact-Rich Manipulation Skills with Online Admittance Residual Learning Xiang Zhang, Changhao Wang, Lingfeng Sun, Zheng Wu, Xinghao Zhu, Masayoshi Tomizuka

ICML 2023 GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen

ICCV 2023 Generalizing Event-Based Motion Deblurring in Real-World Scenarios Xiang Zhang, Lei Yu, Wen Yang, Jianzhuang Liu, Gui-Song Xia

IJCAI 2023 Interpret ESG Rating's Impact on the Industrial Chain Using Graph Neural Networks Bin Liu, Jiujun He, Ziyuan Li, Xiaoyang Huang, Xiang Zhang, Guosheng Yin

ICCV 2023 Knowledge-Spreader: Learning Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity Xiaotian Li, Xiang Zhang, Taoyue Wang, Lijun Yin

CVPR 2023 Pic2Word: Mapping Pictures to Words for Zero-Shot Composed Image Retrieval Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

CVPR 2023 Prefix Conditioning Unifies Language and Label Supervision Kuniaki Saito, Kihyuk Sohn, Xiang Zhang, Chun-Liang Li, Chen-Yu Lee, Kate Saenko, Tomas Pfister

ICCV 2023 ReactioNet: Learning High-Order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning Xiaotian Li, Taoyue Wang, Geran Zhao, Xiang Zhang, Xi Kang, Lijun Yin

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

ICCV 2023 Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu

ICCV 2023 Weakly-Supervised Text-Driven Contrastive Learning for Facial Behavior Understanding Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin

NeurIPS 2022 A Character-Level Length-Control Algorithm for Non-Autoregressive Sentence Summarization Puyuan Liu, Xiang Zhang, Lili Mou

AAAI 2022 AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators Yihang Yin, Qingzhong Wang, Siyu Huang, Haoyi Xiong, Xiang Zhang

AAAI 2022 BM-NAS: Bilevel Multimodal Neural Architecture Search Yihang Yin, Siyu Huang, Xiang Zhang

AAAI 2022 Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan

IJCAI 2022 EGCN: An Ensemble-Based Learning Framework for Exploring Effective Skeleton-Based Rehabilitation Exercise Assessment Bruce X. B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C. C. Chan

NeurIPS 2022 Few-Shot Task-Agnostic Neural Architecture Search for Distilling Large Language Models Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao

ICLR 2022 Graph-Guided Network for Irregularly Sampled Multivariate Time Series Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik

NeurIPS 2022 Self-Supervised Contrastive Pre-Training for Time Series via Time-Frequency Consistency Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik

CVPR 2022 Synthetic Aperture Imaging with Events and Frames Wei Liao, Xiang Zhang, Lei Yu, Shijie Lin, Wen Yang, Ning Qiao

CVPR 2022 Text Spotting Transformers Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu

LoG 2022 TopoImb: Toward Topology-Level Imbalance in Learning from Graphs Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang

CVPR 2022 Unifying Motion Deblurring and Frame Interpolation with Events Xiang Zhang, Lei Yu

AAAI 2021 BoW Pooling: A Plug-and-Play Unit for Feature Aggregation of Point Clouds Xiang Zhang, Xiao Sun, Zhouhui Lian

NeurIPS 2021 Controlling Neural Networks with Rule Representations Sungyong Seo, Sercan Arik, Jinsung Yoon, Xiang Zhang, Kihyuk Sohn, Tomas Pfister

CVPR 2021 Event-Based Synthetic Aperture Imaging with a Hybrid Network Xiang Zhang, Wei Liao, Lei Yu, Wen Yang, Gui-Song Xia

NeurIPS 2021 InfoGCL: Information-Aware Graph Contrastive Learning Dongkuan Xu, Wei Cheng, Dongsheng Luo, Haifeng Chen, Xiang Zhang

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

CVPR 2021 Pose Recognition with Cascade Transformers Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu

AAAI 2021 Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

NeurIPS 2020 GNNGuard: Defending Graph Neural Networks Against Adversarial Attacks Xiang Zhang, Marinka Zitnik

NeurIPS 2020 Parameterized Explainer for Graph Neural Network Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

IJCAI 2019 Spatio-Temporal Attentive RNN for Node Classification in Temporal Attributed Graphs Dongkuan Xu, Wei Cheng, Dongsheng Luo, Xiao Liu, Xiang Zhang

AAAI 2018 Cascade and Parallel Convolutional Recurrent Neural Networks on EEG-Based Intention Recognition for Brain Computer Interface Dalin Zhang, Lina Yao, Xiang Zhang, Sen Wang, Weitong Chen, Robert Boots, Boualem Benatallah

IJCAI 2018 Multi-Modality Sensor Data Classification with Selective Attention Xiang Zhang, Lina Yao, Chaoran Huang, Sen Wang, Mingkui Tan, Guodong Long, Can Wang

AAAI 2017 Universum Prescription: Regularization Using Unlabeled Data Xiang Zhang, Yann LeCun

JMLR 2016 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces Xiang Zhang, Yichao Wu, Lan Wang, Runze Li

ICLR 2016 Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systems Jesse Dodge, Andreea Gane, Xiang Zhang, Antoine Bordes, Sumit Chopra, Alexander H. Miller, Arthur Szlam, Jason Weston

NeurIPS 2015 Character-Level Convolutional Networks for Text Classification Xiang Zhang, Junbo Zhao, Yann LeCun

ICLR 2014 OverFeat: Integrated Recognition, Localization and Detection Using Convolutional Networks Pierre Sermanet, David Eigen, Xiang Zhang, Michaël Mathieu, Rob Fergus, Yann LeCun

ICCVW 2009 Large-Scale Urban Environment Modeling from Videos Using Image Content Segmentation and Alignment Xiang Zhang, Jonathan T. Blocksom, Dale D. Miller

ECML-PKDD 2004 An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes Xiang Zhang, Bernd Kuhlenkötter, Klaus Kneupner