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2020 – today
- 2022
[j3]Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
Are Updatable Learned Indexes Ready? Proc. VLDB Endow. 15(11): 3004-3017 (2022)- [j2]Xuezheng Liu
, Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Quan Z. Sheng:
Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach. IEEE/ACM Trans. Netw. 30(5): 2201-2215 (2022) - [i2]Chaichon Wongkham, Baotong Lu, Chris Liu, Zhicong Zhong, Eric Lo, Tianzheng Wang:
Are Updatable Learned Indexes Ready? CoRR abs/2207.02900 (2022) - 2021
- [j1]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
CoreGen: Contextualized Code Representation Learning for Commit Message Generation. Neurocomputing 459: 97-107 (2021) - [c3]Zhicong Zhong, Ruisong Wang, Ruofei Ma, Wenjing Kang, Gongliang Liu:
Network Coding-Based Capacity Optimization for Space Dynamic Network. 6GN 2021: 38-50 - [c2]Zhicong Zhong, Yipeng Zhou, Di Wu, Xu Chen, Min Chen, Chao Li, Quan Z. Sheng:
P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. INFOCOM 2021: 1-10 - 2020
- [c1]Chen Wang, Shilu Lin, Zhicong Zhong, Yipeng Zhou, Di Wu:
AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data. ICONIP (3) 2020: 395-406 - [i1]Lun Yiu Nie, Cuiyun Gao, Zhicong Zhong, Wai Lam, Yang Liu, Zenglin Xu:
Contextualized Code Representation Learning for Commit Message Generation. CoRR abs/2007.06934 (2020)
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