Dr. Zhiwei Liu is a senior research scientist at Salesforce AI Research. He received his Ph.D. degree from University of Illinois at Chicago on Aug. 2022, where he was advised by Prof. Philip S. Yu. Dr. Liu's research interests lie in AI agents, recommender systems, large language models, and data mining. Dr. Liu has authored over 100 papers in top-tier venues such as ICLR, SIGIR, KDD, EMNLP, and etc, holding 12 patents globally. He serves as an Associate Editor of JMLC, Guest Editor of ACM TORS, and a program committee member for major conferences including NeurIPS, ICLR, ACL, WWW, KDD and etc.
Email: zhiweiliu [at] salesforce [dot] com [OR] jim96liu [at] gmail [dot] com
[July 2025] We release our open-source deep evaluation system, MCPEval.
[Dec. 2024] Our interns' work multi-modal action model is released!
[Dec. 2024] We are organizing Agent4IR workshop at AAAI 2025.
[Dec. 2024] Our agent for recommender system survey is released!
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI
Contrastive self-supervised sequential recommendation with robust augmentation
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer