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Chang Liu 0078
Person information
- unicode name: 刘畅
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
Other persons with the same name
- Chang Liu — disambiguation page
- Chang Liu 0001 — 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 0030 — Microsoft Research AI4Science, Beijing, China (and 2 more)
- 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 — University of Chinese Academy of Sciences, School of Electronic, Electrical and Communication Engineering, Beijing, China
- 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
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2020 – today
- 2024
- [c9]Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu:
Mediate: Mixture Domain Model-Agnostic Federated Learning. DASFAA (1) 2024: 501-510 - [c8]Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding:
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. ICASSP 2024: 7145-7149 - [c7]Yuwen Yang, Yuxiang Lu, Suizhi Huang, Shalayiding Sirejiding, Chang Liu, Muyang Yi, Zhaozhi Xie, Yue Ding, Hongtao Lu:
BARTENDER: A simple baseline model for task-level heterogeneous federated learning. ICME 2024: 1-6 - [c6]Muyang Yi, Zhaozhi Xie, Yuwen Yang, Chang Liu, Yue Ding, Hongtao Lu:
Decoupling Classification and Localization of CLIP. ICME Workshops 2024: 1-6 - [c5]Chang Liu, Qiwei Wang, Wenqing Lin, Yue Ding, Hongtao Lu:
Beyond Binary Preference: Leveraging Bayesian Approaches for Joint Optimization of Ranking and Calibration. KDD 2024: 5442-5453 - [c4]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu, Wenqing Lin, Ziming Wu, Wendong Bi:
DAG: Deep Adaptive and Generative K-Free Community Detection on Attributed Graphs. KDD 2024: 5454-5465 - 2023
- [c3]Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. WSDM 2023: 643-651 - [i6]Yuwen Yang, Chang Liu, Xun Cai, Suizhi Huang, Hongtao Lu, Yue Ding:
UNIDEAL: Curriculum Knowledge Distillation Federated Learning. CoRR abs/2309.08961 (2023) - 2022
- [i5]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu:
NoMorelization: Building Normalizer-Free Models from a Sample's Perspective. CoRR abs/2210.06932 (2022) - [i4]Chang Liu, Yuwen Yang, Xun Cai, Yue Ding, Hongtao Lu:
Completely Heterogeneous Federated Learning. CoRR abs/2210.15865 (2022) - [i3]Chang Liu, Yuwen Yang, Zhe Xie, Hongtao Lu, Yue Ding:
Position-Aware Subgraph Neural Networks with Data-Efficient Learning. CoRR abs/2211.00572 (2022) - [i2]Chang Liu, Yuwen Yang, Yue Ding, Hongtao Lu:
EDEN: A Plug-in Equivariant Distance Encoding to Beyond the 1-WL Test. CoRR abs/2211.10739 (2022) - 2020
- [c2]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNET: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. ICME Workshops 2020: 1-6 - [c1]Chang Liu, Hongtao Lu:
A Highly Efficient Training-Aware Convolutional Neural Network Compression Paradigm. ICME Workshops 2020: 1-6 - [i1]Weihao Jiang, Zhaozhi Xie, Yaoyi Li, Chang Liu, Hongtao Lu:
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation. CoRR abs/2006.02706 (2020)
Coauthor Index
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last updated on 2024-10-31 20:16 CET by the dblp team
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