Liu, Chang

173 publications

CVPR 2025 Advancing Myopia to Holism: Fully Contrastive Language-Image Pre-Training Haicheng Wang, Chen Ju, Weixiong Lin, Shuai Xiao, Mengting Chen, Yixuan Huang, Chang Liu, Mingshuai Yao, Jinsong Lan, Ying Chen, Qingwen Liu, Yanfeng Wang

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

ICLR 2025 Beyond Circuit Connections: A Non-Message Passing Graph Transformer Approach for Quantum Error Mitigation Tianyi Bao, Xinyu Ye, Hang Ruan, Chang Liu, Wenjie Wu, Junchi Yan

CHIL 2025 Bridging the Utility Gap Between MALDI-TOF and WGS for Affordable Outbreak Cluster Detection Chang Liu, Jieshi Chen, Lee H Harrison, Artur Dubrawski

ICML 2025 Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation Chang Liu, Yixin Wang, Moontae Lee

AAAI 2025 DCA: Dividing and Conquering Amnesia in Incremental Object Detection Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Miao Shang, Yu Zhou

ICML 2025 De-AntiFake: Rethinking the Protective Perturbations Against Voice Cloning Attacks Wei Fan, Kejiang Chen, Chang Liu, Weiming Zhang, Nenghai Yu

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

NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang

ICML 2025 Efficient ANN-SNN Conversion with Error Compensation Learning Chang Liu, Jiangrong Shen, Xuming Ran, Mingkun Xu, Qi Xu, Yi Xu, Gang Pan

ICML 2025 Efficient and Scalable Density Functional Theory Hamiltonian Prediction Through Adaptive Sparsity Erpai Luo, Xinran Wei, Lin Huang, Yunyang Li, Han Yang, Zaishuo Xia, Zun Wang, Chang Liu, Bin Shao, Jia Zhang

ICLR 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein

AAAI 2025 Exploiting Diffusion Prior for Real-World Image Dehazing with Unpaired Training Yunwei Lan, Zhigao Cui, Chang Liu, Jialun Peng, Nian Wang, Xin Luo, Dong Liu

NeurIPS 2025 FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu

ICCV 2025 GCRayDiffusion: Pose-Free Surface Reconstruction via Geometric Consistent Ray Diffusion Li-Heng Chen, Zi-Xin Zou, Chang Liu, Tianjiao Jing, Yan-Pei Cao, Shi-Sheng Huang, Hongbo Fu, Hua Huang

NeurIPS 2025 How Does Topology Bias Distort Message Passing in Graph Recommender? a Dirichlet Energy Perspective Yanbiao Ji, Yue Ding, Dan Luo, Chang Liu, Yuxiang Lu, Xin Xin, Hongtao Lu

ICCV 2025 HumanSAM: Classifying Human-Centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly Chang Liu, Yunfan Ye, Fan Zhang, Qingyang Zhou, Yuchuan Luo, Zhiping Cai

AAAI 2025 Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji

CVPR 2025 Linguistics-Aware Masked Image Modeling for Self-Supervised Scene Text Recognition Yifei Zhang, Chang Liu, Jin Wei, Xiaomeng Yang, Yu Zhou, Can Ma, Xiangyang Ji

NeurIPS 2025 Long-Term Intracortical Neural Activity and Kinematics (LINK): An Intracortical Neural Dataset for Chronic Brain-Machine Interfaces, Neuroscience, and Machine Learning Hisham Temmar, Yixuan Wang, Nina Gill, Nicholas Mellon, Chang Liu, Luis Hernan Cubillos, Rio I. Parsons, Joseph T Costello, Matteo Ceradini, Madison M. Kelberman, Matthew Mender, Aren Hite, Dylan Michael Wallace, Samuel R. Nason-Tomaszewski, Parag Ganapati Patil, Matt Willsey, Anne Draelos, Cynthia Chestek

ICCV 2025 MUSE-VL: Modeling Unified VLM Through Semantic Discrete Encoding Rongchang Xie, Chen Du, Ping Song, Chang Liu

NeurIPS 2025 Near-Optimal Sample Complexity for Online Constrained MDPs Chang Liu, Yunfan Li, Lin Yang

NeurIPS 2025 One Filters All: A Generalist Filter for State Estimation Shiqi Liu, Wenhan Cao, Chang Liu, Zeyu He, Tianyi Zhang, Yinuo Wang, Shengbo Eben Li

ICML 2025 Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng

CVPRW 2025 PVUW 2025 Challenge Report: Advances in Pixel-Level Understanding of Complex Videos in the Wild Henghui Ding, Chang Liu, Nikhila Ravi, Shuting He, Yunchao Wei, Song Bai, Philip Torr

CVPR 2025 PatchVSR: Breaking Video Diffusion Resolution Limits with Patch-Wise Video Super-Resolution Shian Du, Menghan Xia, Chang Liu, Xintao Wang, Jing Wang, Pengfei Wan, Di Zhang, Xiangyang Ji

TMLR 2025 Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance Liya Guo, Zun Wang, Chang Liu, Junzhe Li, Pipi Hu, Yi Zhu, Tao Qin

IJCAI 2025 Query-Based and Unnoticeable Graph Injection Attack from Neighborhood Perspective Chang Liu, Hai Huang, Xingquan Zuo

AAAI 2025 Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck Zhibin Ni, Chang Liu, Hai Wan, Xibin Zhao

ICCV 2025 SUV: Suppressing Undesired Video Content via Semantic Modulation Based on Text Embeddings Xiang Lv, Mingwen Shao, Lingzhuang Meng, Chang Liu, Yecong Wan, Xinyuan Chen

ICCV 2025 ScenePainter: Semantically Consistent Perpetual 3D Scene Generation with Concept Relation Alignment Chong Xia, Shengjun Zhang, Fangfu Liu, Chang Liu, Khodchaphun Hirunyaratsameewong, Yueqi Duan

AAAI 2025 Specifying What You Know or Not for Multi-Label Class-Incremental Learning Aoting Zhang, Dongbao Yang, Chang Liu, Xiaopeng Hong, Yu Zhou

WACV 2025 Street TryOn: Learning In-the-Wild Virtual Try-on from Unpaired Person Images Aiyu Cui, Jay Mahajan, Viraj Shah, Preeti Gomathinayagam, Chang Liu, Svetlana Lazebnik

CVPRW 2025 SwarmDiff: Swarm Robotic Trajectory Planning in Cluttered Environments via Diffusion Transformer Kang Ding, Chunxuan Jiao, Yunze Hu, Kangjie Zhou, Pengying Wu, Yao Mu, Chang Liu

ICCV 2025 TAD-E2E: A Large-Scale End-to-End Autonomous Driving Dataset Chang Liu, Mingxu Zhu, Zheyuan Zhang, Linna Song, Xiao Zhao, Qingliang Luo, Qi Wang, Chufan Guo, Kuifeng Su

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

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

ICCV 2025 UnZipLoRA: Separating Content and Style from a Single Image Chang Liu, Viraj Shah, Aiyu Cui, Svetlana Lazebnik

AAAI 2025 Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation Wenzhao Xiang, Chang Liu, Hongyang Yu, Xilin Chen

ICCV 2025 When Schrodinger Bridge Meets Real-World Image Dehazing with Unpaired Training Yunwei Lan, Zhigao Cui, Xin Luo, Chang Liu, Nian Wang, Menglin Zhang, Yanzhao Su, Dong Liu

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

ICML 2024 ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation Ziao Guo, Yang Li, Chang Liu, Wenli Ouyang, Junchi Yan

NeurIPS 2024 Assemblage: Automatic Binary Dataset Construction for Machine Learning Chang Liu, Rebecca Saul, Yihao Sun, Edward Raff, Maya Fuchs, Townsend Southard Pantano, James Holt, Kristopher Micinski

AAAI 2024 Bootstrapping Large Language Models for Radiology Report Generation Chang Liu, Yuanhe Tian, Weidong Chen, Yan Song, Yongdong Zhang

NeurIPSW 2024 Discrepancy-Guided Parameter Suppression for Robust Fine-Tuning Chang Liu, Jingyu Ma

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

ECCV 2024 FreestyleRet: Retrieving Images from Style-Diversified Queries Hao Li, Yanhao Jia, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan

CHIL 2024 From Basic to Extra Features: Hypergraph Transformer Pretrain-Then-Finetuning for Balanced Clinical Predictions on EHR Ran Xu, Yiwen Lu, Chang Liu, Yong Chen, Yan Sun, Xiao Hu, Joyce C Ho, Carl Yang

CVPRW 2024 From Synthetic to Real: A Calibration-Free Pipeline for Few-Shot Raw Image Denoising Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun

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

ECCV 2024 H-V2X: A Large Scale Highway Dataset for BEV Perception Chang Liu, MingXu Zhu, Cong Ma

NeurIPS 2024 Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao

CVPR 2024 Intelligent Grimm - Open-Ended Visual Storytelling via Latent Diffusion Models Chang Liu, Haoning Wu, Yujie Zhong, Xiaoyun Zhang, Yanfeng Wang, Weidi Xie

NeurIPSW 2024 Interactive Navigation of Quadruped Robots in Challenging Environments Using Large Language Models Kangjie Zhou, Yao Mu, Pengying Wu, Han Gao, Chang Liu

NeurIPS 2024 Is Function Similarity Over-Engineered? Building a Benchmark Rebecca Saul, Chang Liu, Noah Fleischmann, Richard Zak, Kristopher Micinski, Edward Raff, James Holt

ICML 2024 Kepler Codebook Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin

ICLR 2024 L2P-MIP: Learning to Presolve for Mixed Integer Programming Chang Liu, Zhichen Dong, Haobo Ma, Weilin Luo, Xijun Li, Bowen Pang, Jia Zeng, Junchi Yan

ICML 2024 LLM-Empowered State Representation for Reinforcement Learning Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji

ECCVW 2024 LSVOS Challenge Report: Large-Scale Complex and Long Video Object Segmentation Henghui Ding, Lingyi Hong, Chang Liu, Ning Xu, Linjie Yang, Yuchen Fan, Deshui Miao, Yameng Gu, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Jinming Chai, Qin Ma, Junpei Zhang, Licheng Jiao, Fang Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Xu Liu, Lingling Li, Hao Fang, Feiyu Pan, Xiankai Lu, Wei Zhang, Runmin Cong, Tuyen Tran, Bin Cao, Yisi Zhang, Hanyi Wang, Xingjian He, Jing Liu

NeurIPSW 2024 LangDA: Language-Guided Domain Adaptive Semantic Segmentation Chang Liu, Saad Hossain, C Thomas, Kwei-Herng Lai, Raviteja Vemulapalli, Sirisha Rambhatla, Alexander Wong

AAAI 2024 Learning Spatially Collaged Fourier Bases for Implicit Neural Representation Jason Chun Lok Li, Chang Liu, Binxiao Huang, Ngai Wong

ECCV 2024 Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation Chang Liu, Giulia Rizzoli, Pietro Zanuttigh, Fu Li, Yi Niu

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

CVPRW 2024 MIPI 2024 Challenge on Few-Shot RAW Image Denoising: Methods and Results Xin Jin, Chunle Guo, Xiaoming Li, Zongsheng Yue, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Yuekun Dai, Peiqing Yang, Chen Change Loy, Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun, Xiangyu Kong, Xiaoxia Xing, Jinlong Wu, Yuanyang Xue, Hyunhee Park, Sejun Song, Changho Kim, Jingfan Tan, Wenhan Luo, Zikun Liu, Mingde Qiao, Junjun Jiang, Kui Jiang, Yao Xiao, Chuyang Sun, Jinhui Hu, Weijian Ruan, Yubo Dong, Kai Chen, Hyejeong Jo, Jiahao Qin, Bingjie Han, Pinle Qin, Rui Chai, Pengyuan Wang

ICML 2024 Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context Learning Zhuo Huang, Chang Liu, Yinpeng Dong, Hang Su, Shibao Zheng, Tongliang Liu

AAAI 2024 MuST: Robust Image Watermarking for Multi-Source Tracing Guanjie Wang, Zehua Ma, Chang Liu, Xi Yang, Han Fang, Weiming Zhang, Nenghai Yu

NeurIPS 2024 MultiTrust: A Comprehensive Benchmark Towards Trustworthy Multimodal Large Language Models Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu

ECCVW 2024 PVUW 2024 Challenge on Complex Video Understanding: Methods and Results Henghui Ding, Chang Liu, Yunchao Wei, Nikhila Ravi, Shuting He, Song Bai, Philip Torr, Deshui Miao, Xin Li, Zhenyu He, Yaowei Wang, Ming-Hsuan Yang, Zhensong Xu, Jiangtao Yao, Chengjing Wu, Ting Liu, Luoqi Liu, Xinyu Liu, Jing Zhang, Kexin Zhang, Yuting Yang, Licheng Jiao, Shuyuan Yang, Mingqi Gao, Jingnan Luo, Jinyu Yang, Jungong Han, Feng Zheng, Bin Cao, Yisi Zhang, Xuanxu Lin, Xingjian He, Bo Zhao, Jing Liu, Feiyu Pan, Hao Fang, Xiankai Lu

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 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu

MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan

AAAI 2024 Quantum Interference Model for Semantic Biases of Glosses in Word Sense Disambiguation Junwei Zhang, Ruifang He, Fengyu Guo, Chang Liu

CVPR 2024 Referring Image Editing: Object-Level Image Editing via Referring Expressions Chang Liu, Xiangtai Li, Henghui Ding

ICML 2024 Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu

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

NeurIPS 2024 Towards General Loop Invariant Generation: A Benchmark of Programs with Memory Manipulation Chang Liu, Xiwei Wu, Yuan Feng, Qinxiang Cao, Junchi Yan

AAAI 2024 Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-Commerce Chang Liu, Peng Hou, Anxiang Zeng, Han Yu

ICML 2024 VoroNav: Voronoi-Based Zero-Shot Object Navigation with Large Language Model Pengying Wu, Yao Mu, Bingxian Wu, Yi Hou, Ji Ma, Shanghang Zhang, Chang Liu

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

CVPR 2023 Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection Chang Liu, Weiming Zhang, Xiangru Lin, Wei Zhang, Xiao Tan, Junyu Han, Xiaomao Li, Errui Ding, Jingdong Wang

CVPRW 2023 Assigned MURA Defect Generation Based on Diffusion Model Weizhi Liu, Chang Liu, Qiang Liu, Dahai Yu

AAAI 2023 AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents Xi Yang, Jie Zhang, Han Fang, Chang Liu, Zehua Ma, Weiming Zhang, Nenghai Yu

ICML 2023 Complementary Attention for Multi-Agent Reinforcement Learning Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji

AAAI 2023 Context-Aware Transformer for 3D Point Cloud Automatic Annotation Xiaoyan Qian, Chang Liu, Xiaojuan Qi, Siew-Chong Tan, Edmund Y. Lam, Ngai Wong

AAAI 2023 DeAR: A Deep-Learning-Based Audio Re-Recording Resilient Watermarking Chang Liu, Jie Zhang, Han Fang, Zehua Ma, Weiming Zhang, Nenghai Yu

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

ICLR 2023 Discovering Informative and Robust Positives for Video Domain Adaptation Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu

CVPR 2023 Frame Flexible Network Yitian Zhang, Yue Bai, Chang Liu, Huan Wang, Sheng Li, Yun Fu

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

CVPR 2023 GRES: Generalized Referring Expression Segmentation Chang Liu, Henghui Ding, Xudong Jiang

AAAI 2023 ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji

ICLR 2023 Image as Set of Points Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

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

ICCV 2023 MOSE: A New Dataset for Video Object Segmentation in Complex Scenes Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H.S. Torr, Song Bai

ICCV 2023 MeViS: A Large-Scale Benchmark for Video Segmentation with Motion Expressions Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Chen Change Loy

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

ICLRW 2023 Neural MPC-Based Decision-Making Framework for Autonomous Driving in Multi-Lane Roundabout Yao Mu, Zhiqian Lan, Chang Liu, Ping Luo, Shengbo Eben Li

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

ICLR 2023 Revocable Deep Reinforcement Learning with Affinity Regularization for Outlier-Robust Graph Matching Chang Liu, Zetian Jiang, Runzhong Wang, Lingxiao Huang, Pinyan Lu, Junchi Yan

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

AAAI 2023 THMA: Tencent HD mAP AI System for Creating HD mAP Annotations Kun Tang, Xu Cao, Zhipeng Cao, Tong Zhou, Erlong Li, Ao Liu, Shengtao Zou, Chang Liu, Shuqi Mei, Elena Sizikova, Chao Zheng

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

CVPR 2023 Towards Effective Adversarial Textured 3D Meshes on Physical Face Recognition Xiao Yang, Chang Liu, Longlong Xu, Yikai Wang, Yinpeng Dong, Ning Chen, Hang Su, Jun Zhu

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

ICCV 2023 UATVR: Uncertainty-Adaptive Text-Video Retrieval Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang

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

ICML 2022 Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning Chang Liu, Chenfei Lou, Runzhong Wang, Alan Yuhan Xi, Li Shen, Junchi Yan

TMLR 2022 Direct Molecular Conformation Generation Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Yusong Wang, Tong Wang, Tao Qin, Wengang Zhou, Houqiang Li, Haiguang Liu, Tie-Yan Liu

NeurIPS 2022 Distilling Representations from GAN Generator via Squeeze and Span Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji

ECML-PKDD 2022 GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation Tianyu Cui, Gang Xiong, Chang Liu, Junzheng Shi, Peipei Fu, Gaopeng Gou

CVPR 2022 Learning to Learn Across Diverse Data Biases in Deep Face Recognition Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu

ECCVW 2022 MND: A New Dataset and Benchmark of Movie Scenes Classified by Their Narrative Function Chang Liu, Armin Shmilovici, Mark Last

ECCV 2022 Multimodal Transformer for Automatic 3D Annotation and Object Detection Chang Liu, Xiaoyan Qian, Binxiao Huang, Xiaojuan Qi, Edmund Lam, Siew-Chong Tan, Ngai Wong

CVPRW 2022 NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results Eduardo Pérez-Pellitero, Sibi Catley-Chandar, Richard Shaw, Ales Leonardis, Radu Timofte, Zexin Zhang, Cen Liu, Yunbo Peng, Yue Lin, Gaocheng Yu, Jin Zhang, Zhe Ma, Hongbin Wang, Xiangyu Chen, Xintao Wang, Haiwei Wu, Lin Liu, Chao Dong, Jiantao Zhou, Qingsen Yan, Song Zhang, Weiye Chen, Yuhang Liu, Zhen Zhang, Yanning Zhang, Javen Qinfeng Shi, Dong Gong, Dan Zhu, Mengdi Sun, Guannan Chen, Yang Hu, Haowei Li, Baozhu Zou, Zhen Liu, Wenjie Lin, Ting Jiang, Chengzhi Jiang, Xinpeng Li, Mingyan Han, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Juan Marín-Vega, Michael Sloth, Peter Schneider-Kamp, Richard Röttger, Chunyang Li, Long Bao, Gang He, Ziyao Xu, Li Xu, Gen Zhan, Ming Sun, Xing Wen, Junlin Li, Jinjing Li, Chenghua Li, Ruipeng Gang, Fangya Li, Chenming Liu, Shuang Feng, Fei Lei, Rui Liu, Junxiang Ruan, Tianhong Dai, Wei Li, Zhan Lu, Hengyan Liu, Peian Huang, Guangyu Ren, Yonglin Luo, Chang Liu, Qiang Tu, Sai Ma, Yizhen Cao, Steven Tel, Barthelemy Heyrman, Dominique Ginhac, Chul Lee, Gahyeon Kim, Seonghyun Park, An Gia Vien, Truong Thanh Nhat Mai, Howoon Yoon, Tu Vo, Alexander Holston, Sheir Zaheer, Chan Y. Park

CVPR 2022 Open-Set Text Recognition via Character-Context Decoupling Chang Liu, Chun Yang, Xu-Cheng Yin

ICLR 2022 PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu

ICLR 2022 Sampling with Mirrored Stein Operators Jiaxin Shi, Chang Liu, Lester Mackey

ECCV 2022 Self-Supervised Learning of Visual Graph Matching Chang Liu, Shaofeng Zhang, Xiaokang Yang, Junchi Yan

IJCAI 2022 Test-Time Fourier Style Calibration for Domain Generalization Xingchen Zhao, Chang Liu, Anthony Sicilia, Seong Jae Hwang, Yun Fu

ECCVW 2022 The Tenth Visual Object Tracking VOT2022 Challenge Results Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhenhua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang

CVPR 2021 Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, Qixiang Ye

CVPR 2021 Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

ECML-PKDD 2021 CQNet: A Clustering-Based Quadruplet Network for Decentralized Application Classification via Encrypted Traffic Yu Wang, Gang Xiong, Chang Liu, Zhen Li, Mingxin Cui, Gaopeng Gou

ICCV 2021 ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu

IJCAI 2021 Generalizing to Unseen Domains: A Survey on Domain Generalization Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin

ICMLW 2021 Improving Visual Quality of Unrestricted Adversarial Examples with Wavelet-VAE Wenzhao Xiang, Chang Liu, Shibao Zheng

IJCAI 2021 Knowledge-Based Residual Learning Guanjie Zheng, Chang Liu, Hua Wei, Porter Jenkins, Chacha Chen, Tao Wen, Zhenhui Li

NeurIPS 2021 Learning Causal Semantic Representation for Out-of-Distribution Prediction Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu

CVPR 2021 Noise-Resistant Deep Metric Learning with Ranking-Based Instance Selection Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

AAAI 2021 Noninvasive Self-Attention for Side Information Fusion in Sequential Recommendation Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

NeurIPS 2021 Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu

NeurIPS 2021 On the Generative Utility of Cyclic Conditionals Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu

NeurIPS 2021 Recovering Latent Causal Factor for Generalization to Distributional Shifts Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu

ICCVW 2021 The Ninth Visual Object Tracking VOT2021 Challenge Results Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu

WACV 2021 Towards Enhancing Fine-Grained Details for Image Matting Chang Liu, Henghui Ding, Xudong Jiang

ICCV 2021 Vision-Language Transformer and Query Generation for Referring Segmentation Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang

IJCAI 2020 An AI-Empowered Visual Storyline Generator Chang Liu, Zhao Yong Lim, Han Yu, Zhiqi Shen, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

AAAI 2020 Cross-Lingual Low-Resource Set-to-Description Retrieval for Global E-Commerce Juntao Li, Chang Liu, Jian Wang, Lidong Bing, Hongsong Li, Xiaozhong Liu, Dongyan Zhao, Rui Yan

AAAI 2020 DWM: A Decomposable Winograd Method for Convolution Acceleration Di Huang, Xishan Zhang, Rui Zhang, Tian Zhi, Deyuan He, Jiaming Guo, Chang Liu, Qi Guo, Zidong Du, Shaoli Liu, Tianshi Chen, Yunji Chen

AAAI 2020 Find Objects and Focus on Highlights: Mining Object Semantics for Video Highlight Detection via Graph Neural Networks Yingying Zhang, Junyu Gao, Xiaoshan Yang, Chang Liu, Yan Li, Changsheng Xu

AAAI 2020 Generating Engaging Promotional Videos for E-Commerce Platforms (Student Abstract) Chang Liu, Han Yu, Yi Dong, Zhiqi Shen, Yingxue Yu, Ian Dixon, Zhanning Gao, Pan Wang, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao

ECCV 2020 Invertible Image Rescaling Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu

ECML-PKDD 2020 Learning to Simulate on Sparse Trajectory Data Hua Wei, Chacha Chen, Chang Liu, Guanjie Zheng, Zhenhui Li

ECCV 2020 Prototype Mixture Models for Few-Shot Semantic Segmentation Boyu Yang, Chang Liu, Bohao Li, Jianbin Jiao, Qixiang Ye

ICML 2020 Variance Reduction and Quasi-Newton for Particle-Based Variational Inference Michael Zhu, Chang Liu, Jun Zhu

AAAI 2020 Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning Dezhao Luo, Chang Liu, Yu Zhou, Dongbao Yang, Can Ma, Qixiang Ye, Weiping Wang

AAAI 2019 Attentive Tensor Product Learning Qiuyuan Huang, Li Deng, Dapeng Oliver Wu, Chang Liu, Xiaodong He

ICLR 2019 Execution-Guided Neural Program Synthesis Xinyun Chen, Chang Liu, Dawn Song

CVPRW 2019 Feature Hourglass Network for Skeleton Detection Nan Jiang, Yifei Zhang, Dezhao Luo, Chang Liu, Yu Zhou, Zhenjun Han

NeurIPS 2019 FreeAnchor: Learning to Match Anchors for Visual Object Detection Xiaosong Zhang, Fang Wan, Chang Liu, Rongrong Ji, Qixiang Ye

CVPRW 2019 Parametric Skeleton Generation via Gaussian Mixture Models Chang Liu, Dezhao Luo, Yifei Zhang, Wei Ke, Fang Wan, Qixiang Ye

ICML 2019 Understanding MCMC Dynamics as Flows on the Wasserstein Space Chang Liu, Jingwei Zhuo, Jun Zhu

ICML 2019 Understanding and Accelerating Particle-Based Variational Inference Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu

ICML 2019 Variational Annealing of GANs: A Langevin Perspective Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke

ICCVW 2019 VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results Dawei Du, Yue Zhang, Zexin Wang, Zhikang Wang, Zichen Song, Ziming Liu, Liefeng Bo, Hailin Shi, Rui Zhu, Aashish Kumar, Aijin Li, Almaz Zinollayev, Anuar Askergaliyev, Arne Schumann, Binjie Mao, Pengfei Zhu, Byeongwon Lee, Chang Liu, Changrui Chen, Chunhong Pan, Chunlei Huo, Da Yu, Dechun Cong, Dening Zeng, Dheeraj Reddy Pailla, Di Li, Longyin Wen, Dong Wang, Donghyeon Cho, Dongyu Zhang, Furui Bai, George Jose, Guangyu Gao, Guizhong Liu, Haitao Xiong, Hao Qi, Haoran Wang, Xiao Bian, Heqian Qiu, Hongliang Li, Huchuan Lu, Ildoo Kim, Jaekyum Kim, Jane Shen, Jihoon Lee, Jing Ge, Jingjing Xu, Jingkai Zhou, Haibin Ling, Jonas Meier, Jun Won Choi, Junhao Hu, Junyi Zhang, Junying Huang, Kaiqi Huang, Keyang Wang, Lars Sommer, Lei Jin, Lei Zhang, Qinghua Hu, Lianghua Huang, Lin Sun, Lucas Steinmann, Meixia Jia, Nuo Xu, Pengyi Zhang, Qiang Chen, Qingxuan Lv, Qiong Liu, Qishang Cheng, Tao Peng, Sai Saketh Chennamsetty, Shuhao Chen, Shuo Wei, Srinivas S. S. Kruthiventi, Sungeun Hong, Sungil Kang, Tong Wu, Tuo Feng, Varghese Alex Kollerathu, Wanqi Li, Jiayu Zheng, Wei Dai, Weida Qin, Weiyang Wang, Xiaorui Wang, Xiaoyu Chen, Xin Chen, Xin Sun, Xin Zhang, Xin Zhao, Xindi Zhang, Xinyao Wang, Xinyu Zhang, Xuankun Chen, Xudong Wei, Xuzhang Zhang, Yanchao Li, Yifu Chen, Yu Heng Toh, Yu Zhang, Yu Zhu, Yunxin Zhong

ICCVW 2019 VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results Longyin Wen, Yue Zhang, Liefeng Bo, Hailin Shi, Rui Zhu, Ajit Jadhav, Bing Dong, Brejesh Lall, Chang Liu, Chunhui Zhang, Dong Wang, Pengfei Zhu, Feng Ni, Filiz Bunyak, Gaoang Wang, Guizhong Liu, Guna Seetharaman, Guorong Li, Håkan Ardö, Haotian Zhang, Hongyang Yu, Huchuan Lu, Dawei Du, Jenq-Neng Hwang, Jiatong Mu, Jinrong Hu, Kannappan Palaniappan, Long Chen, Lu Ding, Martin Lauer, Mikael G. Nilsson, Noor M. Al-Shakarji, Prerana Mukherjee, Xiao Bian, Qingming Huang, Robert Laganière, Shuhao Chen, Siyang Pan, Vinay Kaushik, Wei Shi, Wei Tian, Weiqiang Li, Xin Chen, Xinyu Zhang, Haibin Ling, Yanting Zhang, Yanyun Zhao, Yong Wang, Yuduo Song, Yuehan Yao, Zhaotang Chen, Zhenyu Xu, Zhibin Xiao, Zhihang Tong, Zhipeng Luo, Qinghua Hu, Zhuojin Sun, Jiayu Zheng, Tao Peng, Xinyao Wang

IJCAI 2018 Curriculum Adversarial Training Qi-Zhi Cai, Chang Liu, Dawn Song

ECCV 2018 Linear Span Network for Object Skeleton Detection Chang Liu, Wei Ke, Fei Qin, Qixiang Ye

ICML 2018 Message Passing Stein Variational Gradient Descent Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang

AAAI 2018 Riemannian Stein Variational Gradient Descent for Bayesian Inference Chang Liu, Jun Zhu

ICLR 2018 Towards Synthesizing Complex Programs from Input-Output Examples Xinyun Chen, Chang Liu, Dawn Song

NeurIPS 2018 Tree-to-Tree Neural Networks for Program Translation Xinyun Chen, Chang Liu, Dawn Song

ICLR 2017 Delving into Transferable Adversarial Examples and Black-Box Attacks Yanpei Liu, Xinyun Chen, Chang Liu, Dawn Song

IJCAI 2017 MAT: A Multimodal Attentive Translator for Image Captioning Chang Liu, Fuchun Sun, Changhu Wang, Feng Wang, Alan L. Yuille

ICCVW 2017 RSRN: Rich Side-Output Residual Network for Medial Axis Detection Chang Liu, Wei Ke, Jianbin Jiao, Qixiang Ye

NeurIPS 2016 Latent Attention for If-Then Program Synthesis Chang Liu, Xinyun Chen, Eui Chul Shin, Mingcheng Chen, Dawn Song

NeurIPS 2016 Stochastic Gradient Geodesic MCMC Methods Chang Liu, Jun Zhu, Yang Song

AAAI 2012 Large Scale Temporal RDFS Reasoning Using MapReduce Chang Liu, Guilin Qi, Yong Yu