Hongwei Wang
پژوهشگر · Natural Language Processing
Swiss Federal Institute of Technology in Lausanneمعرفی
Dr. Hongwei Wang is a Senior Researcher at Tencent AI Lab Seattle, specializing in applied machine learning for Natural Language Processing and Interconnected Systems. His work bridges Knowledge Graphs, Recommender Systems, and Graph Neural Networks, with a focus on large language models and retrieval-augmented generation.
- Ph.D. (2018), B.E. (2014) in Computer Science from Shanghai Jiao Tong University
- Postdoctoral Researcher: Stanford University (2019-2021), University of Illinois Urbana-Champaign (2021-2022)
Dr. Wang’s research explores integrating Knowledge Graphs with Graph Neural Networks to enhance recommendation systems, language models, and information retrieval. His work spans Retrieval-Augmented Generation, Representation Learning, and GAN-based Graph Modeling, with recent papers on State-Space Exploration for LLM agents and Semantic Watermarking.
His 15 most recent publications (2022-2024) focus on Retrieval Granularity, Interactive Memory, and Agent Systems, with keywords spanning Computer Science, Machine Learning, and Knowledge Graphs. Trends highlight advancements in Token-Level Semantic Matching, Schema-Guided Event Prediction, and Multi-Document Summarization.
Scientific Awards:
- 2020 CCF Outstanding Doctoral Dissertation Award
- 2018 Google Ph.D. Fellowship
Dr. Wang contributes to open-source projects like DKN and RippleNet, with 11 repositories on GitHub. He actively engages in Knowledge Graph Conferences (KDD, WWW, AAAI) and studies Chinese Classical Poetry and Film Arts.
