Shengze Wang 王晟泽

Shengze Wang, Yi Liu, Xiaoxue Zhang, Liting Hu, and Chen Qian, "Poster: Distributed Learned Hash Table," 2024 IEEE 32nd International Conference on Network Protocols (IEEE ICNP 2024), Charleroi, Belgium [pdf] [poster] [code:to_be_released]

Yifan Hua,  Shengze Wang, Xiaoxue Zhang, Daniel Zhu, Arthur Cheong, Karan Mohindroo, Allan Dewey, and Chen Qian,  "CALID: Collabrative Accelerate LLM Inference with Draft Model with Filter Decoding," BayLearn 2024 - Machine Learning Symposium, Apple Headquarters, Cupertino, CA, USA [pdf] [poster] [code:to_be_released]

Sicong Huang, Qianqi Yan,  Shengze Wang, and Ian Lane, "Improving the Faithfulness of LLM-based Summarization with Unlikelihood Training," BayLearn 2024 - Machine Learning Symposium, Apple Headquarters, Cupertino, CA, USA [pdf] [poster] [dataset:to_be_released]

Sihai Tang, Shengze Wang (Co-first Author), Song Fu, and Qing Yang, "Perception Workload Characterization and Prediction on the Edges with Memory Contention for Connected Autonomous Vehicles," in 2023 IEEE International Conference on Edge Computing and Communications (IEEE EDGE 2023), Chicago, IL, USA, 2023 pp. 104-114.
doi: 10.1109/EDGE60047.2023.00026 [pdf] [code] [slide]

Shengze Wang, Shichao Feng, Chongle Pan, and Xuan Guo, "FineFDR: Fine-grained Taxonomy-specific False Discovery Rates Control in Metaproteomics," 2022 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2022), Las Vegas, NV, USA, 2022, pp. 287-292, doi: 10.1109/BIBM55620.2022.9995401. [pdf] [code] [slide]