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 in the Big Data and Social Computing Lab. Dr. Liu's research interests lie in AI agents, recommender systems, large language models, multi-modal model and data mining. Dr. Liu has authored over 80 papers in top-tier venues such as ICLR, SIGIR, EMNLP, and RecSys, and holds 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
[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!
[Nov. 2024] My paper PRAct agent is accepted to CoNLL 2024.
[Sep. 2024] Our paper and model xLAM is released.
[Sep. 2024] Our paper APIGen is accepted to NeurIPS 2024 dataset track.
[Aug. 2024] Our multi-agent SDE agent framework 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