Zhang, Zheng

152 publications

CVPR 2025 A Semantic Knowledge Complementarity Based Decoupling Framework for Semi-Supervised Class-Imbalanced Medical Image Segmentation Zheng Zhang, Guanchun Yin, Bo Zhang, Wu Liu, Xiuzhuang Zhou, Wendong Wang

ICLR 2025 A Statistical Approach for Controlled Training Data Detection Zirui Hu, Yingjie Wang, Zheng Zhang, Hong Chen, Dacheng Tao

AAAI 2025 Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang

ICLR 2025 Bridging Information Asymmetry in Text-Video Retrieval: A Data-Centric Approach Zechen Bai, Tianjun Xiao, Tong He, Pichao Wang, Zheng Zhang, Thomas Brox, Mike Zheng Shou

JMLR 2025 Causal Effect of Functional Treatment Ruoxu Tan, Wei Huang, Zheng Zhang, Guosheng Yin

IJCAI 2025 CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang

TMLR 2025 Comprehension Without Competence: Architectural Limits of LLMs in Symbolic Computation and Reasoning Zheng Zhang

IJCAI 2025 Connector-S: A Survey of Connectors in Multi-Modal Large Language Models Xun Zhu, Zheng Zhang, Xi Chen, Yiming Shi, Miao Li, Ji Wu

NeurIPS 2025 DAPO: An Open-Source LLM Reinforcement Learning System at Scale Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, YuYue, Weinan Dai, Tiantian Fan, Gaohong Liu, Juncai Liu, LingJun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Ru Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Yonghui Wu, Mingxuan Wang

WACV 2025 DeepMIM: Deep Supervision for Masked Image Modeling Sucheng Ren, Fangyun Wei, Samuel Albanie, Zheng Zhang, Han Hu

AAAI 2025 Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su

AAAI 2025 Intent Oriented Contrastive Learning for Sequential Recommendation Wuhong Wang, Jianhui Ma, Yuren Zhang, Kai Zhang, Junzhe Jiang, Yihui Yang, Yacong Zhou, Zheng Zhang

AAAI 2025 LEGEND: Leveraging Representation Engineering to Annotate Safety Margin for Preference Datasets Duanyu Feng, Bowen Qin, Chen Huang, Youcheng Huang, Zheng Zhang, Wenqiang Lei

NeurIPS 2025 LaX: Boosting Low-Rank Training of Foundation Models via Latent Crossing Ruijie Zhang, Ziyue Liu, Zhengyang Wang, Zheng Zhang

ICLR 2025 NovelQA: Benchmarking Question Answering on Documents Exceeding 200k Tokens Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang

AAAI 2025 OT-StainNet: Optimal Transport Driven Semantic Matching for Weakly Paired H&E-to-IHC Stain Transfer Xianchao Guan, Yifeng Wang, Ye Zhang, Zheng Zhang, Yongbing Zhang

CVPR 2025 Optimal Transport-Guided Source-Free Adaptation for Face Anti-Spoofing Zhuowei Li, Tianchen Zhao, Xiang Xu, Zheng Zhang, Zhihua Li, Xuanbai Chen, Qin Zhang, Alessandro Bergamo, Anil K. Jain, Yifan Xing

IJCAI 2025 PCToolkit: A Unified Plug-and-Play Prompt Compression Toolkit of Large Language Models Zheng Zhang, Jinyi Li, Yihuai Lan, Xiang Wang, Hao Wang

ICLR 2025 PolaFormer: Polarity-Aware Linear Attention for Vision Transformers Weikang Meng, Yadan Luo, Xin Li, Dongmei Jiang, Zheng Zhang

AAAI 2025 Portcullis: A Scalable and Verifiable Privacy Gateway for Third-Party LLM Inference Jiangou Zhan, Wenhui Zhang, Zheng Zhang, Huanran Xue, Yao Zhang, Ye Wu

ICML 2025 Projection Pursuit Density Ratio Estimation Meilin Wang, Wei Huang, Mingming Gong, Zheng Zhang

UAI 2025 Residual Reweighted Conformal Prediction for Graph Neural Networks Zheng Zhang, Jie Bao, Zhixin Zhou, Nicolo Colombo, Lixin Cheng, Rui Luo

NeurIPS 2025 SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes Yifan Yang, Zhen Zhang, Rupak Vignesh Swaminathan, Jing Liu, Nathan Susanj, Zheng Zhang

NeurIPS 2025 ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation Yuxuan Song, Zhe Zhang, Yu Pei, Jingjing Gong, Qiying Yu, Zheng Zhang, Mingxuan Wang, Hao Zhou, Jingjing Liu, Wei-Ying Ma

ICLR 2025 SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-Based Spiking Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang

ICCV 2025 StableDepth: Scene-Consistent and Scale-Invariant Monocular Depth Zheng Zhang, Lihe Yang, Tianyu Yang, Chaohui Yu, Xiaoyang Guo, Yixing Lao, Hengshuang Zhao

AAAI 2025 Transferable Adversarial Face Attack with Text Controlled Attribute Wenyun Li, Zheng Zhang, Xiangyuan Lan, Dongmei Jiang

ICLRW 2025 Wanda++: Pruning Large Language Models via Regional Gradients Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar

NeurIPS 2024 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang

CVPR 2024 Adaptive Slot Attention: Object Discovery with Dynamic Slot Number Ke Fan, Zechen Bai, Tianjun Xiao, Tong He, Max Horn, Yanwei Fu, Francesco Locatello, Zheng Zhang

NeurIPS 2024 Aligning Vision Models with Human Aesthetics in Retrieval: Benchmarks and Algorithms Miaosen Zhang, Yixuan Wei, Zhen Xing, Yifei Ma, Zuxuan Wu, Ji Li, Zheng Zhang, Qi Dai, Chong Luo, Xin Geng, Baining Guo

AAAI 2024 BiPFT: Binary Pre-Trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang

AAAI 2024 CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang

NeurIPS 2024 Can Language Models Learn to Skip Steps? Tengxiao Liu, Qipeng Guo, Xiangkun Hu, Cheng Jiayang, Yue Zhang, Xipeng Qiu, Zheng Zhang

AAAI 2024 CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-Rays via Feature Pyramid Contrastive Learning Bingzhi Chen, Sisi Fu, Yishu Liu, Jiahui Pan, Guangming Lu, Zheng Zhang

NeurIPS 2024 CoMERA: Computing- and Memory-Efficient Training via Rank-Adaptive Tensor Optimization Zi Yang, Ziyue Liu, Samridhi Choudhary, Xinfeng Xie, Cao Gao, Siegfried Kunzmann, Zheng Zhang

NeurIPS 2024 Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang

ICLR 2024 DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training Aochuan Chen, Yimeng Zhang, Jinghan Jia, James Diffenderfer, Konstantinos Parasyris, Jiancheng Liu, Yihua Zhang, Zheng Zhang, Bhavya Kailkhura, Sijia Liu

IJCAI 2024 Enhancing Cross-Modal Retrieval via Visual-Textual Prompt Hashing Bingzhi Chen, Zhongqi Wu, Yishu Liu, Biqing Zeng, Guangming Lu, Zheng Zhang

NeurIPS 2024 Exploiting Descriptive Completeness Prior for Cross Modal Hashing with Incomplete Labels Haoyang Luo, Zheng Zhang, Yadan Luo

AAAI 2024 FlightBERT++: A Non-Autoregressive Multi-Horizon Flight Trajectory Prediction Framework Dongyue Guo, Zheng Zhang, Zhen Yan, Jianwei Zhang, Yi Lin

ICML 2024 GroupCover: A Secure, Efficient and Scalable Inference Framework for On-Device Model Protection Based on TEEs Zheng Zhang, Na Wang, Ziqi Zhang, Yao Zhang, Tianyi Zhang, Jianwei Liu, Ye Wu

CVPR 2024 InstructDiffusion: A Generalist Modeling Interface for Vision Tasks Zigang Geng, Binxin Yang, Tiankai Hang, Chen Li, Shuyang Gu, Ting Zhang, Jianmin Bao, Zheng Zhang, Houqiang Li, Han Hu, Dong Chen, Baining Guo

NeurIPSW 2024 Investigating Annotator Bias in Large Language Models for Hate Speech Detection Amit Das, Zheng Zhang, Najib Hasan, Souvika Sarkar, Fatemeh Jamshidi, Tathagata Bhattacharya, Mostafa Rahgouy, Nilanjana Raychawdhary, Dongji Feng, Vinija Jain, Aman Chadha, Mary Sandage, Lauramarie Pope, Gerry Dozier, Cheryl Seals

CVPR 2024 Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios Jie Xu, Yazhou Ren, Xiaolong Wang, Lei Feng, Zheng Zhang, Gang Niu, Xiaofeng Zhu

ICML 2024 Language-Driven Cross-Modal Classifier for Zero-Shot Multi-Label Image Recognition Yicheng Liu, Jie Wen, Chengliang Liu, Xiaozhao Fang, Zuoyong Li, Yong Xu, Zheng Zhang

ECCV 2024 Learning to Complement and to Defer to Multiple Users Zheng Zhang, Wenjie Ai, Kevin Wells, David M Rosewarne, Thanh-Toan Do, Gustavo Carneiro

ICLR 2024 Masked Structural Growth for 2x Faster Language Model Pre-Training Yiqun Yao, Zheng Zhang, Jing Li, Yequan Wang

ECCV 2024 Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification Yu Bai, Bo Zhang, Zheng Zhang, Shuo Yan, Zibo Ma, Wu Liu, Xiuzhuang Zhou, Xiangyang Gong, Wendong Wang

NeurIPS 2024 One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos Zechen Bai, Tong He, Haiyang Mei, Pichao Wang, Ziteng Gao, Joya Chen, Lei Liu, Zheng Zhang, Mike Zheng Shou

TMLR 2024 PID Control-Based Self-Healing to Improve the Robustness of Large Language Models Zhuotong Chen, Zihu Wang, Yifan Yang, Qianxiao Li, Zheng Zhang

ECCV 2024 PSALM: Pixelwise Segmentation with Large Multi-Modal Model Zheng Zhang, Yeyao Ma, Enming Zhang, Xiang Bai

ECCV 2024 Pixel-GS Density Control with Pixel-Aware Gradient for 3D Gaussian Splatting Zheng Zhang, Wenbo Hu, Yixing Lao, Tong He, Hengshuang Zhao

NeurIPS 2024 RAGChecker: A Fine-Grained Framework for Diagnosing Retrieval-Augmented Generation Dongyu Ru, Lin Qiu, Xiangkun Hu, Tianhang Zhang, Peng Shi, Shuaichen Chang, Cheng Jiayang, Cunxiang Wang, Shichao Sun, Huanyu Li, Zizhao Zhang, Binjie Wang, Jiarong Jiang, Tong He, Zhiguo Wang, Pengfei Liu, Yue Zhang, Zheng Zhang

NeurIPS 2024 Rethinking the Training and Evaluation of Rich-Context Layout-to-Image Generation Jiaxin Cheng, Zixu Zhao, Tong He, Tianjun Xiao, Zheng Zhang, Yicong Zhou

CVPR 2024 Segment and Caption Anything Xiaoke Huang, Jianfeng Wang, Yansong Tang, Zheng Zhang, Han Hu, Jiwen Lu, Lijuan Wang, Zicheng Liu

ICLR 2024 Self-Supervised Heterogeneous Graph Learning: A Homophily and Heterogeneity View Yujie Mo, Feiping Nie, Ping Hu, Heng Tao Shen, Zheng Zhang, Xinchao Wang, Xiaofeng Zhu

NeurIPSW 2024 SepONet: Efficient Large-Scale Physics-Informed Operator Learning Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

TMLR 2024 Separable Operator Networks Xinling Yu, Sean Hooten, Ziyue Liu, Yequan Zhao, Marco Fiorentino, Thomas Van Vaerenbergh, Zheng Zhang

ICML 2024 SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li

NeurIPS 2024 TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao

NeurIPS 2024 Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen

ECCV 2024 Towards Reliable Advertising Image Generation Using Human Feedback Zhenbang Du, Wei Feng, Haohan Wang, Yaoyu Li, Jingsen Wang, Jian Li, Zheng Zhang, Jingjing Lv, Xin Zhu, Junsheng Jin, Junjie Shen, Zhangang Lin, Jingping Shao

NeurIPS 2024 Unified Lexical Representation for Interpretable Visual-Language Alignment Yifan Li, Yikai Wang, Yanwei Fu, Dongyu Ru, Zheng Zhang, Tong He

AAAI 2024 Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students Towards Three Diagnostic Objectives Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He

ICCV 2023 All in Tokens: Unifying Output Space of Visual Tasks via Soft Token Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu

NeurIPSW 2023 Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data Yuntong Hu, Zheng Zhang, Liang Zhao

ICLR 2023 Bridging the Gap to Real-World Object-Centric Learning Maximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He, Zheng Zhang, Bernhard Schölkopf, Thomas Brox, Francesco Locatello

ICCV 2023 Coarse-to-Fine Amodal Segmentation with Shape Prior Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu

NeurIPS 2023 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First Zheng Zhang, Junxiang Wang, Liang Zhao

ICCV 2023 DETR Does Not Need Multi-Scale or Locality Design Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu

ICCV 2023 Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu

NeurIPS 2023 Evaluating Open-QA Evaluation Cunxiang Wang, Sirui Cheng, Qipeng Guo, Yuanhao Yue, Bowen Ding, Zhikun Xu, Yidong Wang, Xiangkun Hu, Zheng Zhang, Yue Zhang

NeurIPS 2023 FairLISA: Fair User Modeling with Limited Sensitive Attributes Information Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen

ICMLW 2023 Fairness in a Non-Stationary Environment from an Optimal Control Perspective Zhuotong Chen, Qianxiao Li, Zheng Zhang

ICCV 2023 Improving CLIP Fine-Tuning Performance Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo

ICCV 2023 KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang

AAAI 2023 KPT: Keyword-Guided Pre-Training for Grounded Dialog Generation Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang

ICCV 2023 Object-Centric Multiple Object Tracking Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao

CVPR 2023 On Data Scaling in Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Yixuan Wei, Qi Dai, Han Hu

NeurIPSW 2023 Plan, Verify and Switch: Integrated Reasoning with Diverse X-of-Thoughts Tengxiao Liu, Qipeng Guo, Yuqing Yang, Xiangkun Hu, Yue Zhang, Xipeng Qiu, Zheng Zhang

NeurIPSW 2023 Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training Yequan Zhao, Xian Xiao, Xinling Yu, Ziyue Liu, Zhixiong Chen, Geza Kurczveil, Raymond G Beausoleil, Zheng Zhang

ICCV 2023 Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-Centric Representation Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu

CVPR 2023 Revealing the Dark Secrets of Masked Image Modeling Zhenda Xie, Zigang Geng, Jingcheng Hu, Zheng Zhang, Han Hu, Yue Cao

CVPR 2023 Side Adapter Network for Open-Vocabulary Semantic Segmentation Mengde Xu, Zheng Zhang, Fangyun Wei, Han Hu, Xiang Bai

CVPR 2023 TinyMIM: An Empirical Study of Distilling MIM Pre-Trained Models Sucheng Ren, Fangyun Wei, Zheng Zhang, Han Hu

IJCAI 2023 Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) Zheng Zhang, Liang Zhao

ICCV 2023 Unsupervised Open-Vocabulary Object Localization in Videos Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He

CVPR 2023 iCLIP: Bridging Image Classification and Contrastive Language-Image Pre-Training for Visual Recognition Yixuan Wei, Yue Cao, Zheng Zhang, Houwen Peng, Zhuliang Yao, Zhenda Xie, Han Hu, Baining Guo

ECCV 2022 A Simple Approach and Benchmark for 21,000-Category Object Detection Yutong Lin, Chen Li, Yue Cao, Zheng Zhang, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Han Hu

ECCV 2022 A Simple Baseline for Open-Vocabulary Semantic Segmentation with Pre-Trained Vision-Language Model Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Han Hu, Xiang Bai

ICLRW 2022 An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator Kun Liu, Huiyuan Fu, Zheng Zhang, Huanpu Yin

NeurIPS 2022 Could Giant Pre-Trained Image Models Extract Universal Representations? Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao

NeurIPS 2022 Expediting Large-Scale Vision Transformer for Dense Prediction Without Fine-Tuning Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu

ICLR 2022 Inductive Relation Prediction Using Analogy Subgraph Embeddings Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

IJCAI 2022 Interactive Information Extraction by Semantic Information Graph Siqi Fan, Yequan Wang, Jing Li, Zheng Zhang, Shuo Shang, Peng Han

NeurIPS 2022 Learning Enhanced Representation for Tabular Data via Neighborhood Propagation Kounianhua Du, Weinan Zhang, Ruiwen Zhou, Yangkun Wang, Xilong Zhao, Jiarui Jin, Quan Gan, Zheng Zhang, David P Wipf

ECCV 2022 PSS: Progressive Sample Selection for Open-World Visual Representation Learning Tianyue Cao, Yongxin Wang, Yifan Xing, Tianjun Xiao, Tong He, Zheng Zhang, Hao Zhou, Joseph Tighe

JMLR 2022 Self-Healing Robust Neural Networks via Closed-Loop Control Zhuotong Chen, Qianxiao Li, Zheng Zhang

NeurIPS 2022 Self-Supervised Amodal Video Object Segmentation Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P Wipf, Yanwei Fu, Zheng Zhang

CVPR 2022 SimMIM: A Simple Framework for Masked Image Modeling Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu

CVPR 2022 Swin Transformer V2: Scaling up Capacity and Resolution Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo

CVPR 2022 Video Swin Transformer Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu

ICLR 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yang Yongyi, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

AISTATS 2021 Bayesian Inference with Certifiable Adversarial Robustness Matthew Wicker, Luca Laurenti, Andrea Patane, Zhuotong Chen, Zheng Zhang, Marta Kwiatkowska

AISTATS 2021 Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, Wipf David

NeurIPS 2021 Bootstrap Your Object Detector via Mixed Training Mengde Xu, Zheng Zhang, Fangyun Wei, Yutong Lin, Yue Cao, Stephen Lin, Han Hu, Xiang Bai

ICCV 2021 End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu

NeurIPS 2021 GRIN: Generative Relation and Intention Network for Multi-Agent Trajectory Prediction Longyuan Li, Jian Yao, Li Wenliang, Tong He, Tianjun Xiao, Junchi Yan, David P. Wipf, Zheng Zhang

ICML 2021 Graph Neural Networks Inspired by Classical Iterative Algorithms Yongyi Yang, Tang Liu, Yangkun Wang, Jinjing Zhou, Quan Gan, Zhewei Wei, Zheng Zhang, Zengfeng Huang, David Wipf

ICCV 2021 Group-Free 3D Object Detection via Transformers Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong

ICCV 2021 Learning Hierarchical Graph Neural Networks for Image Clustering Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto

ICCVW 2021 Leveraging Batch Normalization for Vision Transformers Zhuliang Yao, Yue Cao, Yutong Lin, Ze Liu, Zheng Zhang, Han Hu

AAAI 2021 Partial-Label and Structure-Constrained Deep Coupled Factorization Network Yan Zhang, Zhao Zhang, Yang Wang, Zheng Zhang, Li Zhang, Shuicheng Yan, Meng Wang

CVPR 2021 Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu

CVPR 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu

NeurIPS 2021 Representation Learning on Spatial Networks Zheng Zhang, Liang Zhao

ICCV 2021 Semantics Disentangling for Generalized Zero-Shot Learning Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang

ICCV 2021 Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo

ICLR 2021 Towards Robust Neural Networks via Close-Loop Control Zhuotong Chen, Qianxiao Li, Zheng Zhang

AAAI 2021 Unified Tensor Framework for Incomplete Multi-View Clustering and Missing-View Inferring Jie Wen, Zheng Zhang, Zhao Zhang, Lei Zhu, Lunke Fei, Bob Zhang, Yong Xu

ECCV 2020 A Closer Look at Local Aggregation Operators in Point Cloud Analysis Ze Liu, Han Hu, Yue Cao, Zheng Zhang, Xin Tong

IJCAI 2020 CDIMC-Net: Cognitive Deep Incomplete Multi-View Clustering Network Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Guo-Sen Xie

IJCAI 2020 Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery Zhao Zhang, Jiahuan Ren, Zheng Zhang, Guangcan Liu

ECCV 2020 Disentangled Non-Local Neural Networks Minghao Yin, Zhuliang Yao, Yue Cao, Xiu Li, Zheng Zhang, Stephen Lin, Han Hu

AAAI 2020 Learning from the past: Continual Meta-Learning with Bayesian Graph Neural Networks Yadan Luo, Zi Huang, Zheng Zhang, Ziwei Wang, Mahsa Baktashmotlagh, Yang Yang

AAAI 2020 Multi-Scale Self-Attention for Text Classification Qipeng Guo, Xipeng Qiu, Pengfei Liu, Xiangyang Xue, Zheng Zhang

ECCV 2020 Negative Margin Matters: Understanding Margin in Few-Shot Classification Bin Liu, Yue Cao, Yutong Lin, Qi Li, Zheng Zhang, Mingsheng Long, Han Hu

NeurIPS 2020 Parametric Instance Classification for Unsupervised Visual Feature Learning Yue Cao, Zhenda Xie, Bin Liu, Yutong Lin, Zheng Zhang, Han Hu

ECCV 2020 Region Graph Embedding Network for Zero-Shot Learning Guo-Sen Xie, Li Liu, Fan Zhu, Fang Zhao, Zheng Zhang, Yazhou Yao, Jie Qin, Ling Shao

NeurIPS 2020 RepPoints V2: Verification Meets Regression for Object Detection Yihong Chen, Zheng Zhang, Yue Cao, Liwei Wang, Stephen Lin, Han Hu

ECCV 2020 Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation Zhenda Xie, Zheng Zhang, Xizhou Zhu, Gao Huang, Stephen Lin

AAAI 2020 Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification Chuanyi Zhang, Yazhou Yao, Huafeng Liu, Guo-Sen Xie, Xiangbo Shu, Tianfei Zhou, Zheng Zhang, Fumin Shen, Zhenmin Tang

WACV 2019 Multi-Modality Empowered Network for Facial Action Unit Detection Peng Liu, Zheng Zhang, Huiyuan Yang, Lijun Yin

AAAI 2019 SADIH: Semantic-Aware DIscrete Hashing Zheng Zhang, Guo-Sen Xie, Yang Li, Sheng Li, Zi Huang

IJCAI 2019 Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning Zhao Zhang, Weiming Jiang, Zheng Zhang, Sheng Li, Guangcan Liu, Jie Qin

ICCVW 2019 The 2nd 3D Face Alignment in the Wild Challenge (3DFAW-Video): Dense Reconstruction from Video Rohith Krishnan Pillai, László Attila Jeni, Huiyuan Yang, Zheng Zhang, Lijun Yin, Jeffrey F. Cohn

AAAI 2019 Unified Embedding Alignment with Missing Views Inferring for Incomplete Multi-View Clustering Jie Wen, Zheng Zhang, Yong Xu, Bob Zhang, Lunke Fei, Hong Liu

ECCV 2018 Highly-Economized Multi-View Binary Compression for Scalable Image Clustering Zheng Zhang, Li Liu, Jie Qin, Fan Zhu, Fumin Shen, Yong Xu, Ling Shao, Heng Tao Shen

ECCVW 2018 Incomplete Multi-View Clustering via Graph Regularized Matrix Factorization Jie Wen, Zheng Zhang, Yong Xu, Zuofeng Zhong

NeurIPS 2018 Loss Functions for Multiset Prediction Sean Welleck, Zixin Yao, Yu Gai, Jialin Mao, Zheng Zhang, Kyunghyun Cho

ECCVW 2018 The Sixth Visual Object Tracking VOT2018 Challenge Results Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He

NeurIPS 2017 Saliency-Based Sequential Image Attention with Multiset Prediction Sean Welleck, Jialin Mao, Kyunghyun Cho, Zheng Zhang

CVPR 2016 Multi-Oriented Text Detection with Fully Convolutional Networks Zheng Zhang, Chengquan Zhang, Wei Shen, Cong Yao, Wenyu Liu, Xiang Bai

CVPR 2016 Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis Zheng Zhang, Jeff M. Girard, Yue Wu, Xing Zhang, Peng Liu, Umur Ciftci, Shaun Canavan, Michael Reale, Andy Horowitz, Huiyuan Yang, Jeffrey F. Cohn, Qiang Ji, Lijun Yin

ICCV 2015 Multiple Granularity Descriptors for Fine-Grained Categorization Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang

CVPR 2015 Symmetry-Based Text Line Detection in Natural Scenes Zheng Zhang, Wei Shen, Cong Yao, Xiang Bai

CVPR 2015 The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification Tianjun Xiao, Yichong Xu, Kuiyuan Yang, Jiaxing Zhang, Yuxin Peng, Zheng Zhang

NeurIPS 2014 Attentional Neural Network: Feature Selection Using Cognitive Feedback Qian Wang, Jiaxing Zhang, Sen Song, Zheng Zhang

CVPRW 2011 Real-Time Tracking of Unconstrained Full-Body Motion Using Niching Swarm Filtering Combined with Local Optimization Zheng Zhang, Hock Soon Seah

CVPR 2005 3D Geometric and Optical Modeling of Warped Document Images from Scanners Li Zhang, Zheng Zhang, Chew Lim Tan, Tao Xia

CVPR 2004 Restoration of Curved Document Images Through 3D Shape Modeling Zheng Zhang, Chew Lim Tan, Liying Fan