Zhou, Jun

115 publications

NeurIPS 2025 ARGenSeg: Image Segmentation with Autoregressive Image Generation Model Xiaolong Wang, Lixiang Ru, Ziyuan Huang, Kaixiang Ji, DanDan Zheng, Jingdong Chen, Jun Zhou

JMLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar

ICCV 2025 Audio-Visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation Fa-Ting Hong, Zunnan Xu, Zixiang Zhou, Jun Zhou, Xiu Li, Qin Lin, Qinglin Lu, Dan Xu

AAAI 2025 CREST: An Efficient Conjointly-Trained Spike-Driven Framework for Event-Based Object Detection Exploiting Spatiotemporal Dynamics Ruixin Mao, Aoyu Shen, Lin Tang, Jun Zhou

ICLR 2025 Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization XiaoHua Feng, Yuyuan Li, Chaochao Chen, Li Zhang, Longfei Li, Jun Zhou, Xiaolin Zheng

ICML 2025 Effective and Efficient Masked Image Generation Models Zebin You, Jingyang Ou, Xiaolu Zhang, Jun Hu, Jun Zhou, Chongxuan Li

AAAI 2025 Explore What LLM Does Not Know in Complex Question Answering Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen

CVPR 2025 FireEdit: Fine-Grained Instruction-Based Image Editing via Region-Aware Vision Language Model Jun Zhou, Jiahao Li, Zunnan Xu, Hanhui Li, Yiji Cheng, Fa-Ting Hong, Qin Lin, Qinglin Lu, Xiaodan Liang

AAAI 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-Task Learning Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

CVPR 2025 HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation Zunnan Xu, Zhentao Yu, Zixiang Zhou, Jun Zhou, Xiaoyu Jin, Fa-ting Hong, Xiaozhong Ji, Junwei Zhu, Chengfei Cai, Shiyu Tang, Qin Lin, Xiu Li, Qinglin Lu

AAAI 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou

CVPR 2025 InsTaG: Learning Personalized 3D Talking Head from Few-Second Video Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu

ICLR 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch Caigao Jiang, Xiang Shu, Hong Qian, Xingyu Lu, Jun Zhou, Aimin Zhou, Yang Yu

NeurIPS 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

ICLRW 2025 Large Language Diffusion Models Shen Nie, Fengqi Zhu, Zebin You, Xiaolu Zhang, Jingyang Ou, Jun Hu, Jun Zhou, Yankai Lin, Ji-Rong Wen, Chongxuan Li

AAAI 2025 Learning Causal Transition Matrix for Instance-Dependent Label Noise Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou

ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang

AAAI 2025 Making Large Vision Language Models to Be Good Few-Shot Learners Fan Liu, Wenwen Cai, Jian Huo, Chuanyi Zhang, Delong Chen, Jun Zhou

NeurIPS 2025 Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

ICCV 2025 NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations Rongqing Li, Changsheng Li, Ruilin Lv, Yuhang Li, Yang Gao, Xiaolu Zhang, Jun Zhou

MLHC 2025 Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy Malvern Madondo, Yuan Shao, Yingzi Liu, Jun Zhou, Xiaofeng Yang, Zhen Tian

WACV 2025 Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification Favour Ekong, Jun Zhou, Kwabena Sarpong, Yongsheng Gao

ICML 2025 Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation Minqin Zhu, Zexu Sun, Ruoxuan Xiong, Anpeng Wu, Baohong Li, Caizhi Tang, Jun Zhou, Fei Wu, Kun Kuang

NeurIPS 2025 SAM-R1: Leveraging SAM for Reward Feedback in Multimodal Segmentation via Reinforcement Learning Jiaqi Huang, Zunnan Xu, Jun Zhou, Ting Liu, Yicheng Xiao, Mingwen Ou, Bowen Ji, Xiu Li, Kehong Yuan

CVPR 2025 SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers Nick Nikzad, Yi Liao, Yongsheng Gao, Jun Zhou

ICCV 2025 STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution Rui Xie, Yinhong Liu, Penghao Zhou, Chen Zhao, Jun Zhou, Kai Zhang, Zhenyu Zhang, Jian Yang, Zhenheng Yang, Ying Tai

ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei

NeurIPS 2025 VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations Qianqian Qiao, DanDan Zheng, Yihang Bo, Bao Peng, Heng Huang, Longteng Jiang, Huaye Wang, Jingdong Chen, Jun Zhou, Xin Jin

ECML-PKDD 2024 A Merge Sort Based Ranking System for the Evaluation of Large Language Models Chenchen Li, Linfeng Shi, Chunyi Zhou, Zhaoxin Huan, Chengfu Tang, Xiaolu Zhang, Xudong Wang, Jun Zhou, Song Liu

ECML-PKDD 2024 Adaptively Denoising Graph Neural Networks for Knowledge Distillation Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

AAAI 2024 Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations Junpeng Fang, Gongduo Zhang, Qing Cui, Caizhi Tang, Lihong Gu, Longfei Li, Jinjie Gu, Jun Zhou

NeurIPS 2024 Collaborative Refining for Learning from Inaccurate Labels Bin Han, Yi-Xuan Sun, Ya-Lin Zhang, Libang Zhang, Haoran Hu, Longfei Li, Jun Zhou, Guo Ye, Huimei He

CVPR 2024 DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

ICLR 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei

CVPR 2024 Efficient Model Stealing Defense with Noise Transition Matrix Dong-Dong Wu, Chilin Fu, Weichang Wu, Wenwen Xia, Xiaolu Zhang, Jun Zhou, Min-Ling Zhang

CVPR 2024 FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences Haobo Xu, Jun Zhou, Hua Yang, Renjie Pan, Cunyan Li

AAAI 2024 GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue, James Y. Zhang, Jun Zhou, Hongyuan Mei, Weitao Lin, Zi Zhuang, Wenxin Ning, Yunhua Hu

ICMLW 2024 Hummer: Towards Limited Competitive Preference Dataset Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Yichuan Ding, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng

ICMLW 2024 Hummer: Towards Limited Competitive Preference Dataset Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng

ICML 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang

ICML 2024 Keypoint-Based Progressive Chain-of-Thought Distillation for LLMs Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang

AAAI 2024 LLMRG: Improving Recommendations Through Large Language Model Reasoning Graphs Yan Wang, Zhixuan Chu, Xin Ouyang, Simeng Wang, Hongyan Hao, Yue Shen, Jinjie Gu, Siqiao Xue, James Zhang, Qing Cui, Longfei Li, Jun Zhou, Sheng Li

NeurIPS 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization Rongzhen Wang, Chenyu Zheng, Guoqiang Wu, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

NeurIPS 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models Hanxiao Zhang, Lin Ju, Chan Wu, Jinjing Huang, Youshao Xiao, Zhenglei Zhou, Zhiming Fan, Zhaoxin Huan, Siyuan Li, Fanzhuang Meng, Lei Liang, Xiaolu Zhang, Jun Zhou

ICML 2024 Self-Cognitive Denoising in the Presence of Multiple Noisy Label Sources Yi-Xuan Sun, Ya-Lin Zhang, Bin Han, Longfei Li, Jun Zhou

AAAI 2024 Structural Information Enhanced Graph Representation for Link Prediction Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou

ECCV 2024 TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu

ICLR 2024 TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou

ICML 2024 Unifying Bayesian Flow Networks and Diffusion Models Through Stochastic Differential Equations Kaiwen Xue, Yuhao Zhou, Shen Nie, Xu Min, Xiaolu Zhang, Jun Zhou, Chongxuan Li

AAAI 2024 Π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou

ECML-PKDD 2023 BCAD: An Interpretable Anomaly Transaction Detection System Based on Behavior Consistency Jun Hu, Xu Min, Xiaolu Zhang, Chilin Fu, Weichang Wu, Jun Zhou

ECML-PKDD 2023 Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ICCV 2023 Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6d Object Pose Estimation Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin

ICML 2023 Difference-in-Differences Meets Tree-Based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou

ICCV 2023 Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu

NeurIPS 2023 FAST: A Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li, Jun Zhou

IJCAI 2023 Few-Shot Classification via Ensemble Learning with Multi-Order Statistics Sai Yang, Fan Liu, Delong Chen, Jun Zhou

MLJ 2023 Information Bottleneck and Selective Noise Supervision for Zero-Shot Learning Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock

IJCAI 2023 Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou

NeurIPS 2023 Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei

ICCVW 2023 Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention Jiahao Zheng, Longqi Yang, Yiying Li, Ke Yang, Zhiyuan Wang, Jun Zhou

ECML-PKDD 2023 Long-Tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

NeurIPS 2023 Prompt-Augmented Temporal Point Process for Streaming Event Sequence Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou

MLOSS 2023 SQLFlow: An Extensible Toolkit Integrating DB and AI Jun Zhou, Ke Zhang, Lin Wang, Hua Wu, Yi Wang, ChaoChao Chen

ICLR 2023 Towards Open Temporal Graph Neural Networks Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou

NeurIPS 2023 Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift Yongduo Sui, Qitian Wu, Jiancan Wu, Qing Cui, Longfei Li, Jun Zhou, Xiang Wang, Xiangnan He

ECCVW 2022 BadDet: Backdoor Attacks on Object Detection Shih-Han Chan, Yinpeng Dong, Jun Zhu, Xiaolu Zhang, Jun Zhou

NeurIPS 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Ya-Lin Zhang, Feng Zhu, Longfei Li, Jun Zhou, Linbo Jiang

ICLRW 2022 Decoupled Graph Neural Networks Based on Label Agreement Message Propagation Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang

IJCAI 2022 Learning Mixture of Neural Temporal Point Processes for Multi-Dimensional Event Sequence Clustering Yunhao Zhang, Junchi Yan, Xiaolu Zhang, Jun Zhou, Xiaokang Yang

IJCAI 2022 MERIT: Learning Multi-Level Representations on Temporal Graphs Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

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

CVPR 2022 Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

ACML 2022 Robust Direct Learning for Causal Data Fusion Xinyu Li, Yilin Li, Qing Cui, Longfei Li, Jun Zhou

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

AAAI 2022 SAIL: Self-Augmented Graph Contrastive Learning Lu Yu, Shichao Pei, Lizhong Ding, Jun Zhou, Longfei Li, Chuxu Zhang, Xiangliang Zhang

ECML-PKDD 2022 TAMOR: Tier-Aware Multi-Objective Recommendation for Ant Fortune Financial Marketing Xu Min, Xiaolu Zhang, Jun Zhou, Changxun Fan, Junlin Yu

IJCAI 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng

ECCV 2022 Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock

NeurIPS 2021 A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs Runzhong Wang, Zhigang Hua, Gan Liu, Jiayi Zhang, Junchi Yan, Feng Qi, Shuang Yang, Jun Zhou, Xiaokang Yang

IJCAI 2021 Attention-Based Pyramid Dilated Lattice Network for Blind Image Denoising Mohammad Nikzad, Yongsheng Gao, Jun Zhou

IJCAI 2021 Cross-Domain Recommendation: Challenges, Progress, and Prospects Feng Zhu, Yan Wang, Chaochao Chen, Jun Zhou, Longfei Li, Guanfeng Liu

CVPR 2021 Goal-Oriented Gaze Estimation for Zero-Shot Learning Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada

CVPR 2021 Improving Transferability of Adversarial Patches on Face Recognition with Generative Models Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu

ECML-PKDD 2021 Inductive Link Prediction with Interactive Structure Learning on Attributed Graph Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu

NeurIPS 2021 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou

AAAI 2021 Near Lossless Transfer Learning for Spiking Neural Networks Zhanglu Yan, Jun Zhou, Weng-Fai Wong

ECML-PKDD 2020 AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou

NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi

AAAI 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics Bingzhe Wu, Chaochao Chen, Shiwan Zhao, Cen Chen, Yuan Yao, Guangyu Sun, Li Wang, Xiaolu Zhang, Jun Zhou

AAAI 2020 Deep Residual-Dense Lattice Network for Speech Enhancement Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang

IJCAI 2020 Financial Risk Analysis for SMEs with Graph-Based Supply Chain Mining Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi

AAAI 2020 Pruning from Scratch Yulong Wang, Xiaolu Zhang, Lingxi Xie, Jun Zhou, Hang Su, Bo Zhang, Xiaolin Hu

IJCAI 2019 AntProphet: An Intention Mining System Behind Alipay's Intelligent Customer Service Bot Cen Chen, Xiaolu Zhang, Sheng Ju, Chilin Fu, Caizhi Tang, Jun Zhou, Xiaolong Li

AAAI 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi

NeurIPS 2019 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu, Shiwan Zhao, Chaochao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou

AAAI 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi

IJCAI 2019 Latent Distribution Preserving Deep Subspace Clustering Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock

WACV 2019 Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong

WACV 2019 Semi-Dense Stereo Matching Using Dual CNNs Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong

AAAI 2018 Curve-Structure Segmentation from Depth Maps: A CNN-Based Approach and Its Application to Exploring Cultural Heritage Objects Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Y. Smith, Colin Wilder, Song Wang

AAAI 2018 Cw2vec: Learning Chinese Word Embeddings with Stroke N-Gram Information Shaosheng Cao, Wei Lu, Jun Zhou, Xiaolong Li

AAAI 2018 Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li

IJCAI 2017 Locally Linear Factorization Machines Chenghao Liu, Teng Zhang, Peilin Zhao, Jun Zhou, Jianling Sun

WACV 2017 Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization Yanyang Gu, Jun Zhou, Bin Qian

WACV 2015 3D Reconstruction from Hyperspectral Images Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao

CVPR 2014 Adaptive Object Retrieval with Kernel Reconstructive Hashing Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng

ICCVW 2013 3D Plant Modelling via Hyperspectral Imaging Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault

WACV 2013 Handwritten Text Segmentation Using Average Longest Path Algorithm Dhaval Salvi, Jun Zhou, Jarrell W. Waggoner, Song Wang

ICCV 2011 Material-Specific User Colour Profiles from Imaging Spectroscopy Data Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly, Jun Zhou

ECCV 2010 Object of Interest Detection by Saliency Learning Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou

CVPRW 2009 An Affine Invariant Hyperspectral Texture Descriptor Based upon Heavy-Tailed Distributions and Fourier Analysis Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou

CVPR 2008 A Quasi-Random Sampling Approach to Image Retrieval Jun Zhou, Antonio Robles-Kelly

AAAI 2008 Prediction and Change Detection in Sequential Data for Interactive Applications Jun Zhou, Li Cheng, Walter F. Bischof