A microgrid power trading framework based on blockchain and deep reinforcement learning. - Xinning Jia; Xianzhi Zeng; Jie Xu; Yanhong Liu 004; Yangsheng Lou; Zehui Xu (CCRIS, 2023)

A Hardware-Conscious Stateful Stream Compression Framework for IoT Applications (Vision). - Xianzhi Zeng; Shuhao Zhang 001 (DEBS, 2023)

Parallelizing Stream Compression for IoT Applications on Asymmetric Multicores. - Xianzhi Zeng; Shuhao Zhang 001 (ICDE, 2023)

Scalable Online Interval Join on Modern Multicore Processors in OpenMLDB. - Hao Zhang 029; Xianzhi Zeng; Shuhao Zhang 001; Xinyi Liu; Mian Lu; Zhao Zheng (ICDE, 2023)

Harnessing Scalable Transactional Stream Processing for Managing Large Language Models [Vision]. - Shuhao Zhang 001; Xianzhi Zeng; Yuhao Wu; Zhonghao Yang 005 (CoRR, 2023)

LibAMM: Empirical Insights into Approximate Computing for Accelerating Matrix Multiplication. - Xianzhi Zeng; Wenchao Jiang; Shuhao Zhang 001 (NeurIPS, 2024)

CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion. - Xianzhi Zeng; Zhuoyan Wu; Xinjing Hu; Xuanhua Shi; Shixuan Sun; Shuhao Zhang 001 (CoRR, 2024)

PECJ: Stream Window Join on Disorder Data Streams with Proactive Error Compensation. - Xianzhi Zeng; Shuhao Zhang 001; Hongbin Zhong; Hao Zhang 029; Mian Lu; Zhao Zheng; Yuqiang Chen (Proc. ACM Manag. Data, 2024)

CStream: Parallel Data Stream Compression on Multicore Edge Devices. - Xianzhi Zeng; Shuhao Zhang 001 (IEEE Trans. Knowl. Data Eng., 2024)