AMBR: Boosting the Performance of Personalized Recommendation via Learning from Multi-behavior Data. - Chen Wang 008; Shilu Lin; Zhicong Zhong; Yipeng Zhou; Di Wu 001 (ICONIP (3), 2020)

Contextualized Code Representation Learning for Commit Message Generation. - Lun Yiu Nie; Cuiyun Gao 001; Zhicong Zhong; Wai Lam; Yang Liu 003; Zenglin Xu (CoRR, 2020)

Network Coding-Based Capacity Optimization for Space Dynamic Network. - Zhicong Zhong; Ruisong Wang; Ruofei Ma; Wenjing Kang; Gongliang Liu (6GN, 2021)

P-FedAvg: Parallelizing Federated Learning with Theoretical Guarantees. - Zhicong Zhong; Yipeng Zhou; Di Wu 001; Xu Chen 004; Min Chen 003; Chao Li 067; Quan Z. Sheng (INFOCOM, 2021)

CoreGen: Contextualized Code Representation Learning for Commit Message Generation. - Lun Yiu Nie; Cuiyun Gao 001; Zhicong Zhong; Wai Lam; Yang Liu 003; Zenglin Xu (Neurocomputing, 2021)

Are Updatable Learned Indexes Ready? - Chaichon Wongkham; Baotong Lu; Chris Liu; Zhicong Zhong; Eric Lo 001; Tianzheng Wang 001 (Proc. VLDB Endow., 2022)

Accelerating Federated Learning via Parallel Servers: A Theoretically Guaranteed Approach. - Xuezheng Liu; Zhicong Zhong; Yipeng Zhou; Di Wu 001; Xu Chen 004; Min Chen 003; Quan Z. Sheng (IEEE/ACM Trans. Netw., 2022)