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ORCIDChang Liu 0030
畅刘
Person information
- unicode name: 畅刘
- affiliation: Microsoft Research AI4Science, Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (former): Tsinghua University, Institute for AI, BNRist, Beijing, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001
![[0000-0002-3914-754X]](/https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3914-754X")
— Beijing Institute of Technology, School of Computer Science and Technology, China (and 1 more) - Chang Liu 0002 — Peking University, Department of Advanced Manufacturing and Robotics, Beijing, China (and 2 more)
- Chang Liu 0003 — La Trobe University, Melbourne, Australia (and 3 more)
- Chang Liu 0004 — Purdue University, Video and Image Processing Laboratory (VIPER), West Lafayette, IN, USA
- Chang Liu 0005 — Chengdu University, College of Information Science and Technology, Chengdu, China
- Chang Liu 0006 — Chinese Academy of Sciences, Institute of Electronics, State Key Laboratory of Transducer Technology, Beijing, China (and 2 more)
- Chang Liu 0007 — Peking University, Department of Information Management, Beijing, China (and 1 more)
- Chang Liu 0008 — Guangdong University of Technology, School of Information Engineering, China (and 1 more)
- Chang Liu 0009 — Beihang University, School of Astronautics, Beijing, China
- Chang Liu 0010 — University of Stuttgart, Institute of Computer Architecture and Computer Engineering, Germany
- Chang Liu 0011 — Harbin Institute of Technology, Department of Computer Science, China
- Chang Liu 0012 — Dongguan University of Technology, School of Electronic Engineering, China
- Chang Liu 0013 — Northeast Forestry University, College of Engineering and Technology, Centre for Forest Operations and Environment, Harbin, China
- Chang Liu 0014 — North China Electric Power University, Department of Electric Engineering, Baoding, China
- Chang Liu 0015 — University of Melbourne, Australia
- Chang Liu 0016 — China University of Mining and Technology, School of Mechatronic Engineering, Xuzhou, China
- Chang Liu 0017 — Chongqing University of Posts and Telecommunications, Chongqing Key Laboratory of Computational Intelligence, China
- Chang Liu 0018 — Jianghan University, Department of Logistics and Information Management, China
- Chang Liu 0019 — National University of Defense Technology, Institute of Microelectronics, School of Computer Science, Changsha, China
- Chang Liu 0020 — Guangdong University of Technology, School of Automation, Guangdong Key Laboratory of IoT Information Technology, Guangzhou, China
- Chang Liu 0021 — University of California, Berkeley, Department of EECS, CA, USA (and 2 more)
- Chang Liu 0022 — Northeastern University, Department of Mechanical and Industrial Engineering, Boston, MA, USA
- Chang Liu 0023 — Huazhong University of Science and Technology, Wuhan, China
- Chang Liu 0024 — ShanghaiTech University, School of Information Science and Technology, Shanghai, China
- Chang Liu 0025 — Beijing Institute of Spacecraft Environment Engineering, China
- Chang Liu 0026 — Beijing Information Science and Technology University, Institute of Applied Mathematics, Beijing, China
- Chang Liu 0027 — Northern Illinois University, College of Business, Dekalb, IL, USA
- Chang Liu 0028 — Ohio University, Athens, OH, USA (and 1 more)
- Chang Liu 0029 — University of Toronto, Canada
- Chang Liu 0031 — Carnegie Mellon University, Pittsburgh, PA, USA
- Chang Liu 0032 — Northwestern University, Evanston, IL, USA
- Chang Liu 0033 — University of Massachusetts Lowell, MA, USA
- Chang Liu 0034 — Broadcom Corporation, Irvine, CA, USA (and 1 more)
- Chang Liu 0035 — King's College London, UK
- Chang Liu 0036 — Hong Kong University of Science and Technology, Department of Mathematics, Hong Kong
- Chang Liu 0037 — Nanchang Hangkong University, School of Information Technology, Nanchang, China
- Chang Liu 0038 — Ben-Gurion University of the Negev, Beer Sheva, Israel
- Chang Liu 0039 — Northeastern University, Liaoning Engineering Laboratory of Data Analytics and Optimization for Smart Industry, Shenyang, China
- Chang Liu 0040 — Nanyang Technological University, School of Computer Science and Engineering, Singapore (and 1 more)
- Chang Liu 0041 — Chinese Academy of Sciences, Institute of Electronics, Department of Airborne Microwave Remote Sensing System, Beijing, China
- Chang Liu 0042 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- Chang Liu 0043 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Chang Liu 0044 — Tianjin University, School of Microelectronics, Tianjin, China
- Chang Liu 0045 — Northeastern University, College of Computer Science and Engineering, Shenyang, China
- Chang Liu 0046 — Wuhan University, School of Computer Science, Wuhan, China
- Chang Liu 0047 — Tsinghua University, Department of Automation, School of Information Science and Technology, Beijing, China (and 1 more)
- Chang Liu 0048 — Iowa State University, Department of Computer Science, Ames, IA, USA
- Chang Liu 0049 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China (and 1 more)
- Chang Liu 0050 — University of Southampton, Faculty of Engineering and the Environment, UK
- Chang Liu 0051 — East China Normal University, Software Engineering Institute, Shanghai, China
- Chang Liu 0052 — University of Michigan - Dearborn, Department of Electrical and Computer Engineering, MI, USA
- Chang Liu 0053 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Key Laboratory of Digital Earth Science, Beijing, China
- Chang Liu 0054 — Taishan University, Taishan University, Taian, China
- Chang Liu 0055 — Southwestern University of Finance and Economics, School of Securities and Futures, Chengdu, China
- Chang Liu 0056 — Kunming University of Science and Technology, Faculty of Information Engineering and Automation, Computer Technology Application Key Laboratory of Yunnan Province, China
- Chang Liu 0057 — Guangdong Ocean University, Institute of Electronics and Information Engineering, China (and 1 more)
- Chang Liu 0058 — Hunan University, College of Computer Science and Electronic Engineering, Changsha, China
- Chang Liu 0059 — University of Edinburgh, School of Engineering, UK (and 2 more)
- Chang Liu 0060 — South China University of Technology, School of Automation Science and Engineering, Guangdong, China
- Chang Liu 0061 — Tsinghua University, Department of Automation, Beijing, China (and 1 more)
- Chang Liu 0062 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Chang Liu 0063 — Tsinghua University, Beijing, School of Medicine, Department of Biomedical Engineering, China
- Chang Liu 0064 — Jilin University, Software Institute, Changchun, China
- Chang Liu 0065 — Beijing University of Posts and Telecommunications, School of Information and Communication Engineering, Beijing Key Laboratory of Network System Architecture and Convergence, China
- Chang Liu 0066 — Shenyang University, Department of Applied Technology, China
- Chang Liu 0067 — Kunming University of Science and Technology, Faculty of Mechanical and Electrical Engineering, China
- Chang Liu 0068 — Beijing Institute of Technology, School of Automation, State Key Laboratory of Intelligent Control and Decision of Complex Systems, China
- Chang Liu 0069 — Xi'an Jiaotong-Liverpool University, Suzhou, China (and 1 more)
- Chang Liu 0070 — Huazhong University of Science and Technology, School of Civil and Hydraulic Engineering, Wuhan, China
- Chang Liu 0071 — NVIDIA, Beijing, China (and 2 more)
- Chang Liu 0072 — Nanyang Technological University (NTU), Singapore
- Chang Liu 0073 — University of Jena, Germany
- Chang Liu 0074 — Polytechnic University of Milan, Italy
- Chang Liu 0075 — University of California, Berkeley, USA
- Chang Liu 0076 — Peking University, Wangxuan Institute of Computer Technology, Center for Data Science, China
- Chang Liu 0077 — Shanghai Jiao Tong University, Department of Electronic Engineering, Institute of Image Communication and Networks Engineering, China
- Chang Liu 0078 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
- Chang Liu 0079 — Shanghai Jiao Tong University, Coop. Medianet Innovation Center, China
- Chang Liu 0080 — New Jersey Institute of Technology, Institute for Space Weather Sciences, Newark, NJ, USA
- Chang Liu 0081 — Kyoto University, Department of Real World Data R&D, Japan (and 1 more)
- Chang Liu 0082 — Shanghai University, School of Mechatronic Engineering and Automation, China
- Chang Liu 0083 — Luleå Tekniska Universitet, Sweden (and 1 more)
- Chang Liu 0084 — University of New South Wales, Faculty of Engineering, School of Civil and Environmental Engineering, Sydney, NSW, Australia
- Chang Liu 0085 — Zhejiang Lab, Research Center for Humanoid Sensing, Hangzhou, China (and 1 more)
2020 – today
- 2025
[j6]Pengchong Qiao, Yu Wang, Chang Liu, Lei Shang, Baigui Sun, Zhennan Wang, Xiawu Zheng, Rongrong Ji, Jie Chen:
Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. Int. J. Comput. Vis. 133(3): 1048-1066 (2025)- [i54]Yunyang Li, Lin Huang, Zhihao Ding, Chu Wang, Xinran Wei, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Jia Zhang, Mark Gerstein, Tao Qin:
E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling. CoRR abs/2501.19216 (2025) - [i53]Yingce Xia, Peiran Jin, Shufang Xie, Liang He, Chuan Cao, Renqian Luo, Guoqing Liu, Yue Wang, Zequn Liu, Yuan-Jyue Chen, Zekun Guo, Yeqi Bai, Pan Deng, Yaosen Min, Ziheng Lu, Hongxia Hao, Han Yang, Jielan Li, Chang Liu, Jia Zhang, Jianwei Zhu, Kehan Wu, Wei Zhang, Kaiyuan Gao, Qizhi Pei, Qian Wang, Xixian Liu, Yanting Li, Houtian Zhu, Yeqing Lu, Mingqian Ma, Zun Wang, Tian Xie, Krzysztof Maziarz, Marwin H. S. Segler, Zhao Yang, Zilong Chen, Yu Shi, Shuxin Zheng, Lijun Wu, Chen Hu, Peggy Dai, Tie-Yan Liu, Haiguang Liu, Tao Qin:
NatureLM: Deciphering the Language of Nature for Scientific Discovery. CoRR abs/2502.07527 (2025) - 2024
- [j5]Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu:
Predicting equilibrium distributions for molecular systems with deep learning. Nat. Mac. Intell. 6(5): 558-567 (2024) - [j4]He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao:
Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning. Nat. Comput. Sci. 4(3): 210-223 (2024) - [c44]Zesen Cheng, Kehan Li, Peng Jin, Siheng Li, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Parallel Vertex Diffusion for Unified Visual Grounding. AAAI 2024: 1326-1334 - [c43]Ruoqi Li, Chang Liu, Ziyi Wang, Yao Du, Jingjing Yang, Long Bao, Heng Sun:
From Synthetic to Real: A Calibration-free Pipeline for Few-shot Raw Image Denoising. CVPR Workshops 2024: 1106-1114 - [c42]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:
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. CVPR Workshops 2024: 1153-1161 - [c41]Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen:
GraCo: Granularity-Controllable Interactive Segmentation. CVPR 2024: 3501-3510 - [c40]Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji:
ParCo: Part-Coordinating Text-to-Motion Synthesis. ECCV (56) 2024: 126-143 - [c39]Junrong Lian, Ziyue Dong, Pengxu Wei, Wei Ke, Chang Liu, Qixiang Ye, Xiangyang Ji, Liang Lin:
Kepler codebook. ICML 2024 - [c38]Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji:
LLM-Empowered State Representation for Reinforcement Learning. ICML 2024 - [c37]He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu:
Self-Consistency Training for Density-Functional-Theory Hamiltonian Prediction. ICML 2024 - [c36]Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, Bruno Lepri:
UVMap-ID: A Controllable and Personalized UV Map Generative Model. ACM Multimedia 2024: 10725-10734 - [c35]Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu:
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. NeurIPS 2024 - [i52]Zesen Cheng, Kehan Li, Hao Li, Peng Jin, Chang Liu, Xiawu Zheng, Rongrong Ji, Jie Chen:
Instance Brownian Bridge as Texts for Open-vocabulary Video Instance Segmentation. CoRR abs/2401.09732 (2024) - [i51]Pengchong Qiao, Lei Shang, Chang Liu, Baigui Sun, Xiangyang Ji, Jie Chen:
FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation. CoRR abs/2403.06775 (2024) - [i50]He Zhang, Chang Liu, Zun Wang, Xinran Wei, Siyuan Liu, Nanning Zheng, Bin Shao, Tie-Yan Liu:
Self-Consistency Training for Hamiltonian Prediction. CoRR abs/2403.09560 (2024) - [i49]Qiran Zou, Shangyuan Yuan, Shian Du, Yu Wang, Chang Liu, Yi Xu, Jie Chen, Xiangyang Ji:
ParCo: Part-Coordinating Text-to-Motion Synthesis. CoRR abs/2403.18512 (2024) - [i48]Weijie Wang, Jichao Zhang, Chang Liu, Xia Li, Xingqian Xu, Humphrey Shi, Nicu Sebe, Bruno Lepri:
UVMap-ID: A Controllable and Personalized UV Map Generative Model. CoRR abs/2404.14568 (2024) - [i47]Yian Zhao, Kehan Li, Zesen Cheng, Pengchong Qiao, Xiawu Zheng, Rongrong Ji, Chang Liu, Li Yuan, Jie Chen:
GraCo: Granularity-Controllable Interactive Segmentation. CoRR abs/2405.00587 (2024) - [i46]Zun Wang, Chang Liu, Nianlong Zou, He Zhang, Xinran Wei, Lin Huang, Lijun Wu, Bin Shao:
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models. CoRR abs/2406.03794 (2024) - [i45]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:
MIPI 2024 Challenge on Few-shot RAW Image Denoising: Methods and Results. CoRR abs/2406.07006 (2024) - [i44]Runyi Yu, Tianyu He, Ailing Zhang, Yuchi Wang, Junliang Guo, Xu Tan, Chang Liu, Jie Chen, Jiang Bian:
Make Your Actor Talk: Generalizable and High-Fidelity Lip Sync with Motion and Appearance Disentanglement. CoRR abs/2406.08096 (2024) - [i43]Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Runyi Yu, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen:
Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation. CoRR abs/2407.10528 (2024) - [i42]Boyuan Wang, Yun Qu, Yuhang Jiang, Jianzhun Shao, Chang Liu, Wenming Yang, Xiangyang Ji:
LLM-Empowered State Representation for Reinforcement Learning. CoRR abs/2407.13237 (2024) - [i41]Yun Qu, Boyuan Wang, Yuhang Jiang, Jianzhun Shao, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration. CoRR abs/2410.02511 (2024) - [i40]Yuxuan Ren, Dihan Zheng, Chang Liu, Peiran Jin, Yu Shi, Lin Huang, Jiyan He, Shengjie Luo, Tao Qin, Tie-Yan Liu:
Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning. CoRR abs/2410.10118 (2024) - [i39]Yun Qu, Yuhang Jiang, Boyuan Wang, Yixiu Mao, Cheems Wang, Chang Liu, Xiangyang Ji:
Latent Reward: LLM-Empowered Credit Assignment in Episodic Reinforcement Learning. CoRR abs/2412.11120 (2024) - 2023
- [j3]Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu:
Invertible Rescaling Network and Its Extensions. Int. J. Comput. Vis. 131(1): 134-159 (2023) - [j2]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin, Wang Lu, Yiqiang Chen, Wenjun Zeng, Philip S. Yu:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IEEE Trans. Knowl. Data Eng. 35(8): 8052-8072 (2023) - [c34]Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji:
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation. AAAI 2023: 11488-11496 - [c33]Chang Liu, Mengyi Zhao, Bin Ren, Mengyuan Liu, Nicu Sebe:
Spatio-Temporal Graph Diffusion for Text-Driven Human Motion Generation. BMVC 2023: 722-729 - [c32]Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen:
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning. CVPR 2023: 2472-2482 - [c31]Kehan Li, Zhennan Wang, Zesen Cheng, Runyi Yu, Yian Zhao, Guoli Song, Chang Liu, Li Yuan, Jie Chen:
ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation. CVPR 2023: 7162-7172 - [c30]Pengchong Qiao, Zhidan Wei, Yu Wang, Zhennan Wang, Guoli Song, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen:
Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation. CVPR 2023: 15465-15474 - [c29]Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. CVPR 2023: 23673-23684 - [c28]Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen:
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. CVPR 2023: 23849-23858 - [c27]Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. ICCV 2023: 666-676 - [c26]Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen:
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model. ICCV 2023: 2470-2481 - [c25]Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen:
LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization. ICCV 2023: 5863-5873 - [c24]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. ICCV 2023: 13187-13196 - [c23]Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen:
TopoSeg: Topology-Aware Nuclear Instance Segmentation. ICCV 2023: 21250-21259 - [c22]Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji:
Complementary Attention for Multi-Agent Reinforcement Learning. ICML 2023: 30776-30793 - [c21]Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen:
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. IJCAI 2023: 636-644 - [c20]Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen:
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. IJCAI 2023: 938-946 - [c19]Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen:
TG-VQA: Ternary Game of Video Question Answering. IJCAI 2023: 1044-1052 - [c18]Yu Wang, Zhun Zhong, Pengchong Qiao, Xuxin Cheng, Xiawu Zheng, Chang Liu, Nicu Sebe, Rongrong Ji, Jie Chen:
Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning. NeurIPS 2023 - [i38]Xin Ma, Chang Liu, Chunyu Xie, Long Ye, Yafeng Deng, Xiangyang Ji:
Disjoint Masking with Joint Distillation for Efficient Masked Image Modeling. CoRR abs/2301.00230 (2023) - [i37]Zesen Cheng, Kehan Li, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Parallel Vertex Diffusion for Unified Visual Grounding. CoRR abs/2303.07216 (2023) - [i36]Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen:
DiffusionRet: Generative Text-Video Retrieval with Diffusion Model. CoRR abs/2303.09867 (2023) - [i35]Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. CoRR abs/2303.13399 (2023) - [i34]Peng Jin, Jinfa Huang, Pengfei Xiong, Shangxuan Tian, Chang Liu, Xiangyang Ji, Li Yuan, Jie Chen:
Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning. CoRR abs/2303.14369 (2023) - [i33]Hao Li, Peng Jin, Zesen Cheng, Songyang Zhang, Kai Chen, Zhennan Wang, Chang Liu, Jie Chen:
TG-VQA: Ternary Game of Video Question Answering. CoRR abs/2305.10049 (2023) - [i32]Peng Jin, Hao Li, Zesen Cheng, Jinfa Huang, Zhennan Wang, Li Yuan, Chang Liu, Jie Chen:
Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment. CoRR abs/2305.12218 (2023) - [i31]Yu Wang, Pengchong Qiao, Chang Liu, Guoli Song, Xiawu Zheng, Jie Chen:
Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. CoRR abs/2305.18158 (2023) - [i30]Shuxin Zheng, Jiyan He, Chang Liu, Yu Shi, Ziheng Lu, Weitao Feng, Fusong Ju, Jiaxi Wang, Jianwei Zhu, Yaosen Min, He Zhang, Shidi Tang, Hongxia Hao, Peiran Jin, Chi Chen, Frank Noé, Haiguang Liu, Tie-Yan Liu:
Towards Predicting Equilibrium Distributions for Molecular Systems with Deep Learning. CoRR abs/2306.05445 (2023) - [i29]Zesen Cheng, Peng Jin, Hao Li, Kehan Li, Siheng Li, Xiangyang Ji, Chang Liu, Jie Chen:
WiCo: Win-win Cooperation of Bottom-up and Top-down Referring Image Segmentation. CoRR abs/2306.10750 (2023) - [i28]Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Jie Chen, Xiangyang Ji, Liang Lin:
Towards Real-World Burst Image Super-Resolution: Benchmark and Method. CoRR abs/2309.04803 (2023) - [i27]He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao:
M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning. CoRR abs/2309.16578 (2023) - [i26]Hao Li, Curise Jia, Peng Jin, Zesen Cheng, Kehan Li, Jialu Sui, Chang Liu, Li Yuan:
FreestyleRet: Retrieving Images from Style-Diversified Queries. CoRR abs/2312.02428 (2023) - 2022
- [j1]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:
Direct Molecular Conformation Generation. Trans. Mach. Learn. Res. 2022 (2022) - [c17]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior. ICLR 2022 - [c16]Jiaxin Shi, Chang Liu, Lester Mackey:
Sampling with Mirrored Stein Operators. ICLR 2022 - [c15]Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji:
Distilling Representations from GAN Generator via Squeeze and Span. NeurIPS 2022 - [i25]Jinhua Zhu, Yingce Xia, Chang Liu, Lijun Wu, Shufang Xie, Tong Wang, Yusong Wang, Wengang Zhou, Tao Qin, Houqiang Li, Tie-Yan Liu:
Direct Molecular Conformation Generation. CoRR abs/2202.01356 (2022) - [i24]Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu:
Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets. CoRR abs/2203.04810 (2022) - [i23]Mingqing Xiao, Shuxin Zheng, Chang Liu, Zhouchen Lin, Tie-Yan Liu:
Invertible Rescaling Network and Its Extensions. CoRR abs/2210.04188 (2022) - [i22]Pengchong Qiao, Zhidan Wei, Yu Wang, Chang Liu, Zhennan Wang, Guoli Song, Jie Chen:
PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation. CoRR abs/2210.08519 (2022) - [i21]Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji:
Local Manifold Augmentation for Multiview Semantic Consistency. CoRR abs/2211.02798 (2022) - [i20]Yu Yang, Xiaotian Cheng, Chang Liu, Hakan Bilen, Xiangyang Ji:
Distilling Representations from GAN Generator via Squeeze and Span. CoRR abs/2211.03000 (2022) - [i19]Zesen Cheng, Pengchong Qiao, Kehan Li, Siheng Li, Pengxu Wei, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen:
Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. CoRR abs/2211.12268 (2022) - [i18]Qiran Zou, Yu Yang, Wing Yin Cheung, Chang Liu, Xiangyang Ji:
ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation. CoRR abs/2211.13974 (2022) - [i17]Bohao Li, Chang Liu, Mengnan Shi, Xiaozhong Chen, Xiangyang Ji, Qixiang Ye:
Proposal Distribution Calibration for Few-Shot Object Detection. CoRR abs/2212.07618 (2022) - [i16]Wei Sun, Chengao Liu, Linyan Zhang, Yu Li, Pengxu Wei, Chang Liu, Jialing Zou, Jianbin Jiao, Qixiang Ye:
DQnet: Cross-Model Detail Querying for Camouflaged Object Detection. CoRR abs/2212.08296 (2022) - 2021
- [c14]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. ICDM 2021: 469-478 - [c13]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. IJCAI 2021: 4627-4635 - [c12]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. NeurIPS 2021: 3029-3042 - [c11]Chang Liu, Xinwei Sun, Jindong Wang, Haoyue Tang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. NeurIPS 2021: 6155-6170 - [c10]Xinwei Sun, Botong Wu, Xiangyu Zheng, Chang Liu, Wei Chen, Tao Qin, Tie-Yan Liu:
Recovering Latent Causal Factor for Generalization to Distributional Shifts. NeurIPS 2021: 16846-16859 - [c9]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. NeurIPS 2021: 30242-30256 - [i15]Jindong Wang, Cuiling Lan, Chang Liu, Yidong Ouyang, Tao Qin:
Generalizing to Unseen Domains: A Survey on Domain Generalization. CoRR abs/2103.03097 (2021) - [i14]Jindong Wang, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, Tie-Yan Liu:
Learning Invariant Representations across Domains and Tasks. CoRR abs/2103.05114 (2021) - [i13]Sang-gil Lee, Heeseung Kim, Chaehun Shin, Xu Tan, Chang Liu, Qi Meng, Tao Qin, Wei Chen, Sungroh Yoon, Tie-Yan Liu:
PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior. CoRR abs/2106.06406 (2021) - [i12]Jiaxin Shi, Chang Liu, Lester Mackey:
Sampling with Mirrored Stein Operators. CoRR abs/2106.12506 (2021) - [i11]Chang Liu, Haoyue Tang, Tao Qin, Jintao Wang, Tie-Yan Liu:
On the Generative Utility of Cyclic Conditionals. CoRR abs/2106.15962 (2021) - [i10]Jongjin Park, Younggyo Seo, Chang Liu, Li Zhao, Tao Qin, Jinwoo Shin, Tie-Yan Liu:
Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning. CoRR abs/2110.14118 (2021) - [i9]Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, Dongsheng Li:
Towards Generating Real-World Time Series Data. CoRR abs/2111.08386 (2021) - 2020
- [c8]Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. ECCV (1) 2020: 126-144 - [c7]Michael Zhu, Chang Liu, Jun Zhu:
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference. ICML 2020: 11576-11587 - [i8]Mingqing Xiao, Shuxin Zheng, Chang Liu, Yaolong Wang, Di He, Guolin Ke, Jiang Bian, Zhouchen Lin, Tie-Yan Liu:
Invertible Image Rescaling. CoRR abs/2005.05650 (2020) - [i7]Yaolong Wang, Mingqing Xiao, Chang Liu, Shuxin Zheng, Tie-Yan Liu:
Modeling Lost Information in Lossy Image Compression. CoRR abs/2006.11999 (2020) - [i6]Chaohui Yu, Jindong Wang, Chang Liu, Tao Qin, Renjun Xu, Wenjie Feng, Yiqiang Chen, Tie-Yan Liu:
Learning to Match Distributions for Domain Adaptation. CoRR abs/2007.10791 (2020) - [i5]Chang Liu, Xinwei Sun, Jindong Wang, Tao Li, Tao Qin, Wei Chen, Tie-Yan Liu:
Learning Causal Semantic Representation for Out-of-Distribution Prediction. CoRR abs/2011.01681 (2020) - [i4]Xinwei Sun, Botong Wu, Chang Liu, Xiangyu Zheng, Wei Chen, Tao Qin, Tie-Yan Liu:
Latent Causal Invariant Model. CoRR abs/2011.02203 (2020)
2010 – 2019
- 2019
- [c6]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu:
Understanding and Accelerating Particle-Based Variational Inference. ICML 2019: 4082-4092 - [c5]Chang Liu, Jingwei Zhuo, Jun Zhu:
Understanding MCMC Dynamics as Flows on the Wasserstein Space. ICML 2019: 4093-4103 - [c4]Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy V. Bobashev, Lawrence Carin:
Variational Annealing of GANs: A Langevin Perspective. ICML 2019: 6176-6185 - [i3]Chang Liu, Jingwei Zhuo, Jun Zhu:
Understanding MCMC Dynamics as Flows on the Wasserstein Space. CoRR abs/1902.00282 (2019) - [i2]Pengyu Cheng, Chang Liu, Chunyuan Li, Dinghan Shen, Ricardo Henao, Lawrence Carin:
Straight-Through Estimator as Projected Wasserstein Gradient Flow. CoRR abs/1910.02176 (2019) - 2018
- [c3]Chang Liu, Jun Zhu:
Riemannian Stein Variational Gradient Descent for Bayesian Inference. AAAI 2018: 3627-3634 - [c2]Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, Bo Zhang:
Message Passing Stein Variational Gradient Descent. ICML 2018: 6013-6022 - [i1]Chang Liu, Jingwei Zhuo, Pengyu Cheng, Ruiyi Zhang, Jun Zhu, Lawrence Carin:
Accelerated First-order Methods on the Wasserstein Space for Bayesian Inference. CoRR abs/1807.01750 (2018) - 2016
- [c1]Chang Liu, Jun Zhu, Yang Song:
Stochastic Gradient Geodesic MCMC Methods. NIPS 2016: 3009-3017
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