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Chong Chen 0001
Person information
- unicode name: 陈冲
- affiliation: Huawei Inc, Beijing, China
- affiliation: Tsinghua University, Institute for Artificial Intelligence, Beijing, China
Other persons with the same name
- Chong Chen — disambiguation page
- Chong Chen 0002
— Terminus Group, China (and 2 more)
- Chong Chen 0003
- Chong Chen 0004
- Chong Chen 0005 — China University of Petroleum, Beijing, China
- Chong Chen 0006 — Lanzhou University, Lanzhou, China
- Chong Chen 0007 — University of Science and Technology Beijing, Beijing, China
- Chong Chen 0008 — Nanjing University, Nanjing, China
- Chong Chen 0009 — University of Illinois at Chicago, IL, USA
- Chong Chen 0010
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2020 – today
- 2024
- [c17]Tianhao Shi
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CIKM 2024: 4051-4055 - [c16]Hanqi Zhang
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CIKM 2024: 4268-4272 - [c15]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. EMNLP 2024: 10540-10552 - [i10]Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Zhijing Wu, Yiqun Liu, Chong Chen, Qi Tian:
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models. CoRR abs/2403.18365 (2024) - [i9]Shengjie Ma, Chong Chen, Qi Chu, Jiaxin Mao:
Leveraging Large Language Models for Relevance Judgments in Legal Case Retrieval. CoRR abs/2403.18405 (2024) - [i8]Haitao Li, Qingyao Ai, Xinyan Han, Jia Chen, Qian Dong, Yiqun Liu, Chong Chen, Qi Tian:
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment. CoRR abs/2403.18435 (2024) - [i7]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR abs/2406.14900 (2024) - [i6]Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao:
Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. CoRR abs/2408.08066 (2024) - 2023
- [j6]Yangkun Li
A Survey on Dropout Methods and Experimental Verification in Recommendation. IEEE Trans. Knowl. Data Eng. 35(7): 6595-6615 (2023) - [j5]Chenyang Wang, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Sequential Recommendation with Multiple Contrast Signals. ACM Trans. Inf. Syst. 41(1): 11:1-11:27 (2023) - [j4]Chong Chen, Weizhi Ma, Min Zhang, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Revisiting Negative Sampling vs. Non-sampling in Implicit Recommendation. ACM Trans. Inf. Syst. 41(1): 12:1-12:25 (2023) - [c14]Kun Zhang
CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval. KDD 2023: 3332-3341 - [c13]Shengjie Ma
Session Search with Pre-trained Graph Classification Model. SIGIR 2023: 953-962 - [c12]Haitao Li
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. SIGIR 2023: 1035-1044 - [i5]Haitao Li, Qingyao Ai, Jia Chen, Qian Dong, Yueyue Wu, Yiqun Liu, Chong Chen, Qi Tian:
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval. CoRR abs/2304.11370 (2023) - 2022
- [j3]Jiayu Li, Zhiyu He, Yumeng Cui, Chenyang Wang, Chong Chen, Chun Yu, Min Zhang, Yiqun Liu, Shaoping Ma:
Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 125:1-125:34 (2022) - [c11]Chenyang Wang, Yuanqing Yu
Towards Representation Alignment and Uniformity in Collaborative Filtering. KDD 2022: 1816-1825 - [c10]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. WWW 2022: 2768-2777 - [i4]Chong Chen, Fei Sun, Min Zhang, Bolin Ding:
Recommendation Unlearning. CoRR abs/2201.06820 (2022) - [i3]Yangkun Li, Weizhi Ma, Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma, Yuekui Yang:
A Survey on Dropout Methods and Experimental Verification in Recommendation. CoRR abs/2204.02027 (2022) - [i2]Chenyang Wang, Yuanqing Yu, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma:
Towards Representation Alignment and Uniformity in Collaborative Filtering. CoRR abs/2206.12811 (2022) - 2021
- [j2]Chenyang Wang, Weizhi Ma, Min Zhang, Chong Chen, Yiqun Liu, Shaoping Ma:
Toward Dynamic User Intention: Temporal Evolutionary Effects of Item Relations in Sequential Recommendation. ACM Trans. Inf. Syst. 39(2): 16:1-16:33 (2021) - [c9]Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma:
Graph Heterogeneous Multi-Relational Recommendation. AAAI 2021: 3958-3966 - [c8]Zelong Li
Efficient Non-Sampling Knowledge Graph Embedding. WWW 2021: 1727-1736 - [i1]Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang:
Efficient Non-Sampling Knowledge Graph Embedding. CoRR abs/2104.10796 (2021) - 2020
- [j1]Chong Chen, Min Zhang, Yongfeng Zhang, Yiqun Liu, Shaoping Ma:
Efficient Neural Matrix Factorization without Sampling for Recommendation. ACM Trans. Inf. Syst. 38(2): 14:1-14:28 (2020) - [c7]Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. AAAI 2020: 19-26 - [c6]Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation. SIGIR 2020: 189-198 - [c5]Chong Chen, Min Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma:
Efficient Non-Sampling Factorization Machines for Optimal Context-Aware Recommendation. WWW 2020: 2400-2410
2010 – 2019
- 2019
- [c4]Chong Chen, Min Zhang, Chenyang Wang, Weizhi Ma, Minming Li
An Efficient Adaptive Transfer Neural Network for Social-aware Recommendation. SIGIR 2019: 225-234 - [c3]Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation. WSDM 2019: 177-185 - 2018
- [c2]Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Missing Data Modeling with User Activity and Item Popularity in Recommendation. AIRS 2018: 113-125 - [c1]Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Neural Attentional Rating Regression with Review-level Explanations. WWW 2018: 1583-1592
Coauthor Index
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