Shengze Wang 王晟泽

S. Wang, Y. Liu, X. Zhang, L. Hu, and C. Qian, "Poster: Distributed Learned Hash Table," 2024 IEEE 32nd International Conference on Network Protocols (ICNP), Charleroi, Belgium [Accepted]

Y. Hua,  S. Wang, X. Zhang, D. Zhu, A. Cheong, K. Mohindroo, A. Dewey, and C. Qian,  "CALID: Collabrative Accelerate LLM Inference with Draft Model with Filter Decoding," BayLearn 2024 - Machine Learning Symposium, Cupertino, CA, USA [Accepted]

S. Huang, Q. Yan,  S. Wang, and I. Lane, "Improving the Faithfulness of LLM-based Summarization with Unlikelihood Training," BayLearn 2024 - Machine Learning Symposium, Cupertino, CA, USA [Accepted]

S. Tang, S. Wang (Co-first Author), S. Fu, and Q. 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 (EDGE), Chicago, IL, USA, 2023 pp. 104-114.
doi: 10.1109/EDGE60047.2023.00026 [pdf] [code] [slide]

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