Short Bio

Hello! I’m Weicong (English name: Ben), a posdoc research scholar in the PADSYS Lab at University of California, Merced. My postdoc advisor is Prof. Xiaoyi Lu. I earned my Ph.D. in Computer and Information Science from Case Western Reserve University (CWRU) under the supervision of a world-class biostatistician and research scholar, Prof. Curtis Tatsuoka. Before that, I got my M.S. in Computer and Information Science at CWRU and B.S. degrees in Computer Science and Applied Mathematics at University of Evansville.

Research Interests

My research interests encompass a wide range of topics, including high-performance computing, Big data, Bayesian methods, combinatorial optimizations, parallel and scalable scientific simulation, group testing methodologies, and rt-fMRI data analytics.

Publications

• [IEEE Micro'24] High-Speed Data Communication with Advanced Networks in Large Language Model Training
• [IPDPS '24] Accelerating Lossy and Lossless Compression on Emerging BlueField DPU Architectures
• [HotI '23] Performance Characterization of Large Language Models on High-Speed Interconnects
• [ModSim '23] LogGOPSGauger: A Work-In-Progress Tool for Gauging LogGOPS Model with GPU-Aware Communication
• [IPDPS '23] SBGT: Scaling Bayesian-based Group Testing for Disease Surveillance
• [SC '23] Early Experience in Characterizing Training Large Language Models on Modern HPC Clusters
• [ModSim '23] Early Experiences in Modeling Performance Implications of DPU-Offloaded Computation
• [HiPC '22] HiBGT: High-Performance Bayesian Group Testing for COVID-19
• [Biostatistics '22] Bayesian Group Testing with Dilution Effects