Chen, Jie

154 publications

CVPR 2025 Adversarial Diffusion Compression for Real-World Image Super-Resolution Bin Chen, Gehui Li, Rongyuan Wu, Xindong Zhang, Jie Chen, Jian Zhang, Lei Zhang

AAAI 2025 Adversarial Learning Under Hybrid Perturbations for Robust Acute Lymphoblastic Leukemia Classification Jie Chen, Xinyuan Liu, Xintong Liu, Jianqiang Li

AAAI 2025 Aligning Instance Brownian Bridge with Texts for Open-Vocabulary Video Instance Segmentation Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Xiawu Zheng, Chang Liu, Jie Chen

AAAI 2025 Attack-Inspired Calibration Loss for Calibrating Crack Recognition Zhuangzhuang Chen, Qiangyu Chen, Jiahao Zhang, Zhiliang Lin, Xingyu Feng, Jie Chen, Jianqiang Li

AAAI 2025 CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection Jie Chen, Liangmin Wang, Huijuan Zhu, Victor S. Sheng

NeurIPS 2025 Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Fulan Qian, Shu Zhao

TMLR 2025 Compressed Decentralized Momentum Stochastic Gradient Methods for Nonconvex Optimization Wei Liu, Anweshit Panda, Ujwal Pandey, Christopher Brissette, Yikang Shen, George Slota, Naigang Wang, Jie Chen, Yangyang Xu

AAAI 2025 Cross-View Graph Consistency Learning for Invariant Graph Representations Jie Chen, Hua Mao, Wai Lok Woo, Chuanbin Liu, Xi Peng

ICCV 2025 DASH: 4D Hash Encoding with Self-Supervised Decomposition for Real-Time Dynamic Scene Rendering Jie Chen, Zhangchi Hu, Peixi Wu, Huyue Zhu, Hebei Li, Xiaoyan Sun

NeurIPS 2025 Deep Compositional Phase Diffusion for Long Motion Sequence Generation Ho Yin Au, Jie Chen, Junkun Jiang, Jingyu Xiang

AAAI 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy Jian-Ping Mei, Weibin Zhang, Jie Chen, Xuyun Zhang, Tiantian Zhu

AAAI 2025 DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs Shiyu Li, Pengxu Wei, Pengchong Qiao, Chang Liu, Jie Chen

ICML 2025 Directed Graph Grammars for Sequence-Based Learning Michael Sun, Orion Foo, Gang Liu, Wojciech Matusik, Jie Chen

NeurIPS 2025 Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang

IJCAI 2025 Dual-Balancing for Physics-Informed Neural Networks Chenhong Zhou, Jie Chen, Zaifeng Yang, Ching Eng Png

NeurIPS 2025 DyMoDreamer: World Modeling with Dynamic Modulation Boxuan Zhang, Runqing Wang, Wei Xiao, Weipu Zhang, Jian Sun, Gao Huang, Jie Chen, Gang Wang

ICCV 2025 Efficient Spiking Point Mamba for Point Cloud Analysis Peixi Wu, Bosong Chai, Menghua Zheng, Wei Li, Zhangchi Hu, Jie Chen, Zheyu Zhang, Hebei Li, Xiaoyan Sun

ICML 2025 Foundation Molecular Grammar: Multi-Modal Foundation Models Induce Interpretable Molecular Graph Languages Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Jie Chen

NeurIPS 2025 GMV: A Unified and Efficient Graph Multi-View Learning Framework Qipeng Zhu, Jie Chen, Jian Pu, Junping Zhang

ICML 2025 GPEN: Global Position Encoding Network for Enhanced Subgraph Representation Learning Nannan Wu, Yuming Huang, Yiming Zhao, Jie Chen, Wenjun Wang

ICLR 2025 Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems Jie Chen

NeurIPS 2025 Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve Yuanzhe Liu, Ryan Deng, Tim Kaler, Xuhao Chen, Charles Leiserson, Yao Ma, Jie Chen

IJCAI 2025 MTPNet: Multi-Grained Target Perception for Unified Activity Cliff Prediction Zishan Shu, Yufan Deng, Hongyu Zhang, Zhiwei Nie, Jie Chen

ICLR 2025 Multimodal Large Language Models for Inverse Molecular Design with Retrosynthetic Planning Gang Liu, Michael Sun, Wojciech Matusik, Meng Jiang, Jie Chen

ICLR 2025 Procedural Synthesis of Synthesizable Molecules Michael Sun, Alston Lo, Minghao Guo, Jie Chen, Connor W. Coley, Wojciech Matusik

NeurIPS 2025 SE-GUI: Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning Xinbin Yuan, Jian Zhang, Kaixin Li, Zhuoxuan Cai, Lujian Yao, Jie Chen, Enguang Wang, Qibin Hou, Jinwei Chen, Peng-Tao Jiang, Bo Li

ICML 2025 Teaching Language Models to Critique via Reinforcement Learning Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong

ICLRW 2025 Teaching Language Models to Critique via Reinforcement Learning Zhihui Xie, Jie Chen, Liyu Chen, Weichao Mao, Jingjing Xu, Lingpeng Kong

ICCV 2025 Temporal-Aware Query Routing for Real-Time Video Instance Segmentation Zesen Cheng, Kehan Li, Yian Zhao, Hang Zhang, Chang Liu, Jie Chen

CVPRW 2025 TrajGNAS: Heterogeneous Multiagent Trajectory Prediction Based on a Graph Neural Architecture Search Yunheng Xu, Jie Chen, Shuoheng Wang, Xinwen Wang

ICLR 2025 Triples as the Key: Structuring Makes Decomposition and Verification Easier in LLM-Based TableQA Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Zhen Duan, Shu Zhao

ICCV 2025 Tune-Your-Style: Intensity-Tunable 3D Style Transfer with Gaussian Splatting Yian Zhao, Rushi Ye, Ruochong Zheng, Zesen Cheng, Chaoran Feng, Jiashu Yang, Pengchong Qiao, Chang Liu, Jie Chen

NeurIPS 2025 Unraveling Metameric Dilemma for Spectral Reconstruction: A High-Fidelity Approach via Semi-Supervised Learning Xingxing Yang, Jie Chen, Zaifeng Yang

CVPR 2025 iSegMan: Interactive Segment-and-Manipulate 3D Gaussians Yian Zhao, Wanshi Xu, Ruochong Zheng, Pengchong Qiao, Chang Liu, Jie Chen

NeurIPS 2024 Automated Label Unification for Multi-Dataset Semantic Segmentation with GNNs Rong Ma, Jie Chen, Xiangyang Xue, Jian Pu

ICML 2024 Boundary Exploration for Bayesian Optimization with Unknown Physical Constraints Yunsheng Tian, Ane Zuniga, Xinwei Zhang, Johannes P. Dürholt, Payel Das, Jie Chen, Wojciech Matusik, Mina Konakovic Lukovic

AAAI 2024 CF-NeRF: Camera Parameter Free Neural Radiance Fields with Incremental Learning Qingsong Yan, Qiang Wang, Kaiyong Zhao, Jie Chen, Bo Li, Xiaowen Chu, Fei Deng

CVPR 2024 DETRs Beat YOLOs on Real-Time Object Detection Yian Zhao, Wenyu Lv, Shangliang Xu, Jinman Wei, Guanzhong Wang, Qingqing Dang, Yi Liu, Jie Chen

CVPR 2024 FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen

TMLR 2024 GLASU: A Communication-Efficient Algorithm for Federated Learning with Vertically Distributed Graph Data Xinwei Zhang, Mingyi Hong, Jie Chen

CVPR 2024 GraCo: Granularity-Controllable Interactive Segmentation Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen

NeurIPS 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series Giangiacomo Mercatali, Andre Freitas, Jie Chen

NeurIPSW 2024 Graph Representation of Local Environments for Learning High-Entropy Alloy Properties Hengrui Zhang, Ruishu Huang, Jie Chen, James Rondinelli, Wei Chen

NeurIPS 2024 HiCoM: Hierarchical Coherent Motion for Dynamic Streamable Scenes with 3D Gaussian Splatting Qiankun Gao, Jiarui Meng, Chengxiang Wen, Jie Chen, Jian Zhang

AAAI 2024 Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues Xingxing Yang, Jie Chen, Zaifeng Yang

ECCV 2024 Learning Pseudo 3D Guidance for View-Consistent Texturing with 2D Diffusion Kehan Li, Yanbo Fan, Yang Wu, Zhongqian Sun, Wei Yang, Xiangyang Ji, Li Yuan, Jie Chen

ECCV 2024 Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

ECCV 2024 Make a Strong Teacher with Label Assistance: A Novel Knowledge Distillation Approach for Semantic Segmentation Shoumeng Qiu, Jie Chen, Xinrun Li, Ru Wan, Xiangyang Xue, Jian Pu

CVPR 2024 Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation Zhuangzhuang Chen, Zhuonan Lai, Jie Chen, Jianqiang Li

ECCV 2024 ParCo: Part-Coordinating Text-to-Motion Synthesis Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji

AAAI 2024 Parallel Vertex Diffusion for Unified Visual Grounding Zesen Cheng, Kehan Li, Peng Jin, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

NeurIPS 2024 Parameterized Approximation Schemes for Fair-Range Clustering Zhen Zhang, Xiaohong Chen, Limei Liu, Jie Chen, Junyu Huang, Qilong Feng

AAAI 2024 Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks Jia Wang, Wuqiang Su, Zushu Huang, Jie Chen, Chengwen Luo, Jianqiang Li

ICLR 2024 Protein-Ligand Interaction Prior for Binding-Aware 3D Molecule Diffusion Models Zhilin Huang, Ling Yang, Xiangxin Zhou, Zhilong Zhang, Wentao Zhang, Xiawu Zheng, Jie Chen, Yu Wang, Bin Cui, Wenming Yang

ICML 2024 Representing Molecules as Random Walks over Interpretable Grammars Michael Sun, Minghao Guo, Weize Yuan, Veronika Thost, Crystal Elaine Owens, Aristotle Franklin Grosz, Sharvaa Selvan, Katelyn Zhou, Hassan Mohiuddin, Benjamin J Pedretti, Zachary P Smith, Jie Chen, Wojciech Matusik

TMLR 2024 SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP Jie Chen, Mingyuan Bai, Shouzhen Chen, Junbin Gao, Junping Zhang, Jian Pu

AAAI 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption Adil Nawaz, Guopeng Chen, Muhammad Umair Raza, Zahid Iqbal, Jianqiang Li, Victor C. M. Leung, Jie Chen

ECCV 2024 Textual Grounding for Open-Vocabulary Visual Information Extraction in Layout-Diversified Documents Mengjun Cheng, Chengquan Zhang, Chang Liu, Yuke Li, Bohan Li, Kun Yao, Xiawu Zheng, Rongrong Ji, Jie Chen

ICML 2023 A Gromov-Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen, Rentian Yao, Yun Yang, Jie Chen

CVPR 2023 A Unified Pyramid Recurrent Network for Video Frame Interpolation Xin Jin, Longhai Wu, Jie Chen, Youxin Chen, Jayoon Koo, Cheul-hee Hahm

CVPR 2023 ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen

NeurIPSW 2023 Automated Diffraction Pattern Analysis for Identifying Crystal Systems Using Multiview Opinion Fusion Machine Learning Jie Chen, Hengrui Zhang, Carolin B Wahl, Wei Liu, Chad Mirkin, Vinayak Dravid, Daniel W Apley, Wei Chen

ICML 2023 Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu

ICCV 2023 Deep Multiview Clustering by Contrasting Cluster Assignments Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng

ICCV 2023 DiffusionRet: Generative Text-Video Retrieval with Diffusion Model Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen

NeurIPS 2023 Discover and Align Taxonomic Context Priors for Open-World Semi-Supervised Learning Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen

WACV 2023 Enhanced Bi-Directional Motion Estimation for Video Frame Interpolation Xin Jin, Longhai Wu, Guotao Shen, Youxin Chen, Jie Chen, Jayoon Koo, Cheul-hee Hahm

UAI 2023 Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs Tengfei Ma, Trong Nghia Hoang, Jie Chen

CVPR 2023 From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm Jie Chen, Zilong Li, Yin Zhu, Junping Zhang, Jian Pu

CVPR 2023 Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

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

ICLR 2023 Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning Zehao Niu, Mihai Anitescu, Jie Chen

ICML 2023 Hierarchical Grammar-Induced Geometry for Data-Efficient Molecular Property Prediction Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik

CVPR 2023 High-Frequency Stereo Matching Network Haoliang Zhao, Huizhou Zhou, Yongjun Zhang, Jie Chen, Yitong Yang, Yong Zhao

NeurIPSW 2023 Influence Based Approaches to Algorithmic Fairness: A Closer Look Soumya Ghosh, Prasanna Sattigeri, Inkit Padhi, Manish Nagireddy, Jie Chen

ICCV 2023 LaPE: Layer-Adaptive Position Embedding for Vision Transformers with Independent Layer Normalization Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen

AAAI 2023 Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild Jucai Zhai, Pengcheng Zeng, Chihao Ma, Jie Chen, Yong Zhao

ICCV 2023 Learning to Distill Global Representation for Sparse-View CT Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan

ICCV 2023 Multi-Granularity Interaction Simulation for Unsupervised Interactive Segmentation Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

CVPR 2023 Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen

CVPR 2023 Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen

AAAI 2023 Proximal Stochastic Recursive Momentum Methods for Nonconvex Composite Decentralized Optimization Gabriel Mancino-Ball, Shengnan Miao, Yangyang Xu, Jie Chen

IJCAI 2023 TG-VQA: Ternary Game of Video Question Answering Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen

IJCAI 2023 Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen

ICCV 2023 The Devil Is in the Crack Orientation: A New Perspective for Crack Detection Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li

ICCV 2023 TopoSeg: Topology-Aware Nuclear Instance Segmentation Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen

ICCV 2023 Towards Real-World Burst Image Super-Resolution: Benchmark and Method Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin

CVPR 2023 Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen

IJCAI 2023 WiCo: Win-Win Cooperation of Bottom-up and Top-Down Referring Image Segmentation Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen

NeurIPSW 2022 C-MBA: Adversarial Attack for Cooperative MARL Using Learned Dynamics Model Nhan H Pham, Lam M. Nguyen, Jie Chen, Hoang Thanh Lam, Subhro Das, Lily Weng

CVPRW 2022 CENet: Consolidation-and-Exploration Network for Continuous Domain Adaptation Chi Zhang, Yalu Cheng, Pengxu Wei, Hongliang He, Jie Chen

ICLR 2022 Data-Efficient Graph Grammar Learning for Molecular Generation Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik

NeurIPS 2022 Expectation-Maximization Contrastive Learning for Compact Video-and-Language Representations Peng Jin, Jinfa Huang, Fenglin Liu, Xian Wu, Shen Ge, Guoli Song, David Clifton, Jie Chen

CVPR 2022 Geometry-Aware Guided Loss for Deep Crack Recognition Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li

NeurIPSW 2022 Graph Neural Networks for Selection of Preconditioners and Krylov Solvers Ziyuan Tang, Hong Zhang, Jie Chen

ICLR 2022 Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series Enyan Dai, Jie Chen

ECCV 2022 Locality Guidance for Improving Vision Transformers on Tiny Datasets Kehan Li, Runyi Yu, Zhennan Wang, Li Yuan, Guoli Song, Jie Chen

ECCV 2022 NDF: Neural Deformable Fields for Dynamic Human Modelling Ruiqi Zhang, Jie Chen

ACML 2022 Robust Scene Text Detection via Learnable Scene Transformations Yuheng Cao, Mengjie Zhou, Jie Chen

ECCV 2022 Temporal-MPI: Enabling Multi-Plane Images for Dynamic Scene Modelling via Temporal Basis Learning Wenpeng Xing, Jie Chen

CVPR 2022 Training-Free Transformer Architecture Search Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji

CVPR 2022 ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen, Guoli Song, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

ECCV 2022 When Active Learning Meets Implicit Semantic Data Augmentation Zhuangzhuang Chen, Jin Zhang, Pan Wang, Jie Chen, Jianqiang Li

ACML 2021 A Partial Label Metric Learning Algorithm for Class Imbalanced Data Wenpeng Liu, Li Wang, Jie Chen, Yu Zhou, Ruirui Zheng, Jianjun He

ICCV 2021 CDNet: Centripetal Direction Network for Nuclear Instance Segmentation Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen

NeurIPS 2021 CentripetalText: An Efficient Text Instance Representation for Scene Text Detection Tao Sheng, Jie Chen, Zhouhui Lian

CVPR 2021 CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou

ICLR 2021 Directed Acyclic Graph Neural Networks Veronika Thost, Jie Chen

CVPR 2021 Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji

ICLR 2021 Discrete Graph Structure Learning for Forecasting Multiple Time Series Chao Shang, Jie Chen, Jinbo Bi

UAI 2021 Dynamic Visualization for L1 Fusion Convex Clustering in Near-Linear Time Bingyuan Zhang, Jie Chen, Yoshikazu Terada

IJCAI 2021 Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models Xiao Zang, Yi Xie, Jie Chen, Bo Yuan

IJCAI 2021 RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection Dongming Yang, Yuexian Zou, Can Zhang, Meng Cao, Jie Chen

ICCV 2021 ReCU: Reviving the Dead Weights in Binary Neural Networks Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji

AAAI 2021 Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport Tengfei Ma, Jie Chen

AAAI 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator Huy Phan, Yi Xie, Siyu Liao, Jie Chen, Bo Yuan

ECCV 2020 Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures Mantang Guo, Junhui Hou, Jing Jin, Jie Chen, Lap-Pui Chau

AAAI 2020 Embedding Compression with Isotropic Iterative Quantization Siyu Liao, Jie Chen, Yanzhi Wang, Qinru Qiu, Bo Yuan

AAAI 2020 EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs Aldo Pareja, Giacomo Domeniconi, Jie Chen, Tengfei Ma, Toyotaro Suzumura, Hiroki Kanezashi, Tim Kaler, Tao B. Schardl, Charles E. Leiserson

NeurIPS 2020 Online Convex Optimization over Erdos-Renyi Random Networks Jinlong Lei, Peng Yi, Yiguang Hong, Jie Chen, Guodong Shi

AAAI 2020 Online Planner Selection with Graph Neural Networks and Adaptive Scheduling Tengfei Ma, Patrick Ferber, Siyu Huo, Jie Chen, Michael Katz

AAAI 2020 Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression Tong Teng, Jie Chen, Yehong Zhang, Bryan Kian Hsiang Low

ECCVW 2020 The 1st Tiny Object Detection Challenge: Methods and Results Xuehui Yu, Zhenjun Han, Yuqi Gong, Nan Jan, Jian Zhao, Qixiang Ye, Jie Chen, Yuan Feng, Bin Zhang, Xiaodi Wang, Ying Xin, Jingwei Liu, Mingyuan Mao, Sheng Xu, Baochang Zhang, Shumin Han, Cheng Gao, Wei Tang, Lizuo Jin, Mingbo Hong, Yuchao Yang, Shuiwang Li, Huan Luo, Qijun Zhao, Humphrey Shi

AAAI 2019 A Sequential Set Generation Method for Predicting Set-Valued Outputs Tian Gao, Jie Chen, Vijil Chenthamarakshan, Michael Witbrock

NeurIPS 2019 Adaptively Aligned Image Captioning via Adaptive Attention Time Lun Huang, Wenmin Wang, Yaxian Xia, Jie Chen

ICML 2019 DAG-GNN: DAG Structure Learning with Graph Neural Networks Yue Yu, Jie Chen, Tian Gao, Mo Yu

ICCVW 2019 The Seventh Visual Object Tracking VOT2019 Challenge Results Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou

ICCVW 2019 VisDrone-SOT2019: The Vision Meets Drone Single Object Tracking Challenge Results Dawei Du, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Bo Han, Chunhui Zhang, Guizhong Liu, Han Wu, Hao Wen, Haoran Wang, Pengfei Zhu, Jiaqing Fan, Jie Chen, Jie Gao, Jie Zhang, Jinghao Zhou, Jinliu Zhou, Jinwang Wang, Jiuqing Wan, Josef Kittler, Kaihua Zhang, Longyin Wen, Kaiqi Huang, Kang Yang, Kangkai Zhang, Lianghua Huang, Lijun Zhou, Lingling Shi, Lu Ding, Ning Wang, Peng Wang, Qintao Hu, Xiao Bian, Robert Laganière, Ruiyan Ma, Ruohan Zhang, Shanrong Zou, Shengwei Zhao, Shengyang Li, Shengyin Zhu, Shikun Li, Shiming Ge, Shiyu Xuan, Haibin Ling, Tianyang Xu, Ting He, Wei Shi, Wei Song, Weiming Hu, Wenhua Zhang, Wenjun Zhu, Xi Yu, Xianhai Wang, Xiaojun Wu, Qinghua Hu, Xiaotong Li, Xiaoxue Li, Xiaoyue Yin, Xin Zhang, Xin Zhao, Xizhe Xue, Xu Lei, Xueyuan Yang, Yanjie Gao, Yanyun Zhao, Jiayu Zheng, Yinda Xu, Ying Li, Yong Wang, Yong Yang, Yuting Yang, Yuxuan Li, Zeyu Wang, Zhenhua Feng, Zhipeng Zhang, Zhiyong Yu, Tao Peng, Zhizhao Duan, Zhuojin Sun, Xinyao Wang

AAAI 2018 A Cascaded Inception of Inception Network with Attention Modulated Feature Fusion for Human Pose Estimation Wentao Liu, Jie Chen, Cheng Li, Chen Qian, Xiao Chu, Xiaolin Hu

NeurIPS 2018 Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma, Jie Chen, Cao Xiao

ECCV 2018 Fast Light Field Reconstruction with Deep Coarse-to-Fine Modeling of Spatial-Angular Clues Henry Wing Fung Yeung, Junhui Hou, Jie Chen, Yuk Ying Chung, Xiaoming Chen

ICLR 2018 FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen, Tengfei Ma, Cao Xiao

AISTATS 2018 Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications Sijia Liu, Jie Chen, Pin-Yu Chen, Alfred O. Hero Iii

JMLR 2017 Hierarchically Compositional Kernels for Scalable Nonparametric Learning Jie Chen, Haim Avron, Vikas Sindhwani

ICCVW 2017 Rotation Invariant Local Binary Convolution Neural Networks Xin Zhang, Li Liu, Yuxiang Xie, Jie Chen, Lingda Wu, Matti Pietikäinen

CVPR 2017 SRN: Side-Output Residual Network for Object Symmetry Detection in the Wild Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye

CVPR 2017 Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang

NeurIPS 2017 Solving Most Systems of Random Quadratic Equations Gang Wang, Georgios Giannakis, Yousef Saad, Jie Chen

ICML 2016 Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, Jie Chen, Jingdong Chen, Zhijie Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Ke Ding, Niandong Du, Erich Elsen, Jesse Engel, Weiwei Fang, Linxi Fan, Christopher Fougner, Liang Gao, Caixia Gong, Awni Hannun, Tony Han, Lappi Johannes, Bing Jiang, Cai Ju, Billy Jun, Patrick LeGresley, Libby Lin, Junjie Liu, Yang Liu, Weigao Li, Xiangang Li, Dongpeng Ma, Sharan Narang, Andrew Ng, Sherjil Ozair, Yiping Peng, Ryan Prenger, Sheng Qian, Zongfeng Quan, Jonathan Raiman, Vinay Rao, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Kavya Srinet, Anuroop Sriram, Haiyuan Tang, Liliang Tang, Chong Wang, Jidong Wang, Kaifu Wang, Yi Wang, Zhijian Wang, Zhiqian Wang, Shuang Wu, Likai Wei, Bo Xiao, Wen Xie, Yan Xie, Dani Yogatama, Bin Yuan, Jun Zhan, Zhenyao Zhu

CVPRW 2016 Texture Complexity Based Redundant Regions Ranking for Object Proposal Wei Ke, Tianliang Zhang, Jie Chen, Fang Wan, Qixiang Ye, Zhenjun Han

AAAI 2015 Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation Kian Hsiang Low, Jiangbo Yu, Jie Chen, Patrick Jaillet

AAAI 2014 GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model Nuo Xu, Kian Hsiang Low, Jie Chen, Keng Kiat Lim, Etkin Baris Ozgul

ECML-PKDD 2014 Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül

ECCVW 2014 Local Binary Patterns to Evaluate Trabecular Bone Structure from Micro-CT Data: Application to Studies of Human Osteoarthritis Jérôme Thevenot, Jie Chen, Mikko Finnilä, Miika T. Nieminen, Petri Lehenkari, Simo Saarakkala, Matti Pietikäinen

CVPR 2014 Remote Heart Rate Measurement from Face Videos Under Realistic Situations Xiaobai Li, Jie Chen, Guoying Zhao, Matti Pietikainen

UAI 2013 Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations Jie Chen, Nannan Cao, Kian Hsiang Low, Ruofei Ouyang, Colin Keng-Yan Tan, Patrick Jaillet

UAI 2012 Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan, Ali Oran, Patrick Jaillet, John M. Dolan, Gaurav S. Sukhatme

CVPR 2012 Towards Compact Topical Descriptors Rongrong Ji, Ling-Yu Duan, Jie Chen, Wen Gao

IJCAI 2011 Learning Compact Visual Descriptor for Low Bit Rate Mobile Landmark Search Rongrong Ji, Ling-Yu Duan, Jie Chen, Hongxun Yao, Tiejun Huang, Wen Gao

ICCVW 2009 An Improved Local Descriptor and Threshold Learning for Unsupervised Dynamic Texture Segmentation Jie Chen, Guoying Zhao, Matti Pietikäinen

JMLR 2009 Fast Approximate kNN Graph Construction for High Dimensional Data via Recursive Lanczos Bisection Jie Chen, Haw-ren Fang, Yousef Saad

CVPR 2009 Learning Mappings for Face Synthesis from near Infrared to Visual Light Images Jie Chen, Dong Yi, Jimei Yang, Guoying Zhao, Stan Z. Li, Matti Pietikäinen

CVPR 2008 A Robust Descriptor Based on Weber's Law Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen, Wen Gao, Matti Pietikäinen

CVPR 2007 Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, Jie Chen