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ORCIDChao Chen 0016
Person information
- affiliation: Shanghai Jiao Tong University, China
- affiliation (former): IBM Research - China, Shanghai, China
- affiliation (former): University of Colorado Boulder, USA
Other persons with the same name
- Chao Chen — disambiguation page
- Chao Chen 0001
![[0000-0003-0502-8742]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0502-8742")
— Indiana University - Purdue University Fort Wayne, Department of Engineering, IN, USA - Chao Chen 0002 — Chinese Academy of Sciences, Key Laboratory of Electromagnetic Radiation and Sensing Technology, Beijing, China
- Chao Chen 0003 — Freescale Semiconductor, Inc., Austin, TX, USA (and 1 more)
- Chao Chen 0004 — Chongqing University, College of Computer Science, China (and 4 more)
- Chao Chen 0005 — Zhejiang Gongshang University, School of Information and Electronic Engineering, Hangzhou, China (and 1 more)
- Chao Chen 0006 — Qualcomm Incorporated, San Diego, CA, USA (and 1 more)
- Chao Chen 0007 — University of Nottingham, School of Computer Science, UK
- Chao Chen 0008 — North Carolina State University, Raleigh, NC, USA (and 2 more)
- Chao Chen 0009 — Harbin Institute of Technology, State Key Laboratory of Robotics and System, China
- Chao Chen 0010 — Shandong Normal University, School of Management Science and Engineering, China
- Chao Chen 0011 — University of Warwick, Coventry, UK
- Chao Chen 0012 — Stony Brook University, Stony Brook, NY, USA
- Chao Chen 0013 — Xidian University, Xi'an, China
- Chao Chen 0014 — University of Miami, Coral Gables, FL, USA
- Chao Chen 0015 — RMIT University, Melbourne, VIC, Australia (and 3 more)
- Chao Chen 0017 — National University of Defense Technology, College of System Engineering, Changsha, China
- Chao Chen 0018 — Southeast University, National ASIC Research Center, Nanjing, China
- Chao Chen 0019 — Butterfly Network Inc., Guilford, CT, USA (and 1 more)
- Chao Chen 0020 — University of Florida, Department of Computer and Information Sciences and Engineering, Gainesville, FL, USA
- Chao Chen 0021 — Fortiss GmbH, affiliated institute of Technische Universität München, Munich, Germany
- Chao Chen 0022 — Shenzhen Institutes of Advanced Technology (SIAT), CAS, China
- Chao Chen 0023 — Delft University of Technology, Faculty of Technology, Policy and Management, The Netherlands (and 1 more)
- Chao Chen 0024 — Georgia Institute of Technology, Atlanta, GA, USA
- Chao Chen 0025 — Beihang University, Beijing, China
- Chao Chen 0026 — DAMO Academy, Alibaba Group, China (and 1 more)
- Chao Chen 0027 — National University of Defense Technology, College of System Engineering, Changsha, China
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2020 – today
- 2024
[j5]Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan:
EasyDGL: Encode, Train and Interpret for Continuous-Time Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10845-10862 (2024)- [i7]Jiahao Liu, Yiyang Shao, Peng Zhang, Dongsheng Li, Hansu Gu, Chao Chen, Longzhi Du, Tun Lu, Ning Gu:
Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation. CoRR abs/2410.05411 (2024) - 2023
- [c13]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. ICLR 2023 - [c12]Haoyu Geng, Chao Chen, Yixuan He, Gang Zeng, Zhaobing Han, Hua Chai, Junchi Yan:
Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disentangled Representations. KDD 2023: 518-530 - [i6]Chao Chen, Haoyu Geng, Gang Zeng, Zhaobing Han, Hua Chai, Xiaokang Yang, Junchi Yan:
Graph Signal Sampling for Inductive One-Bit Matrix Completion: a Closed-form Solution. CoRR abs/2302.03933 (2023) - [i5]Chao Chen, Haoyu Geng, Nianzu Yang, Xiaokang Yang, Junchi Yan:
EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning. CoRR abs/2303.12341 (2023) - 2022
- [j4]Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 34(11): 5446-5458 (2022) - [i4]Chao Chen, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation. CoRR abs/2204.00752 (2022) - [i3]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. CoRR abs/2204.06517 (2022) - 2021
- [j3]Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang:
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. ACM Trans. Knowl. Discov. Data 15(6): 102:1-102:20 (2021) - [j2]Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu:
Mixture Matrix Approximation for Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 33(6): 2640-2653 (2021) - [c11]Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang:
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning. AAAI 2021: 7011-7019 - [c10]Chao Chen, Haoyu Geng, Nianzu Yang, Junchi Yan, Daiyue Xue, Jianping Yu, Xiaokang Yang:
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation. ICML 2021: 1606-1616 - [i2]Dongsheng Li, Haodong Liu, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang:
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering. CoRR abs/2104.07269 (2021)
2010 – 2019
- 2019
- [c9]Chao Chen, Hao Zhang, Dongsheng Li, Junchi Yan, Xiaokang Yang:
Synergizing Local and Global Models for Matrix Approximation. CIKM 2019: 2197-2200 - [c8]Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu:
Collaborative Filtering with Noisy Ratings. SDM 2019: 747-755 - 2018
- [c7]Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu:
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering. WWW 2018: 741-751 - [i1]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Collaborative Filtering with Stability. CoRR abs/1811.02198 (2018) - 2017
- [c6]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. AAAI 2017: 1295-1301 - [c5]Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha:
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems. AAAI 2017: 1403-1409 - [c4]Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu:
Mixture-Rank Matrix Approximation for Collaborative Filtering. NIPS 2017: 477-485 - 2016
- [j1]Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu:
An algorithm for efficient privacy-preserving item-based collaborative filtering. Future Gener. Comput. Syst. 55: 311-320 (2016) - [c3]Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu:
Low-Rank Matrix Approximation with Stability. ICML 2016: 295-303 - [c2]Chao Chen, Dongsheng Li, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang:
MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. IJCAI 2016: 1382-1388 - 2015
- [c1]Chao Chen, Dongsheng Li, Yingying Zhao, Qin Lv, Li Shang:
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation. SIGIR 2015: 303-312
Coauthor Index
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