Zhiwei Liu
Dr. Zhiwei Liu is a full-time research scientist at Salesforce AI Research. He received his Ph.D. degree from University of Illinois at Chicago, where he was advised by Prof. Philip S. Yu in the Big Data and Social Computing Lab.
Dr. Liu's research interests lie in large models, recommender systems and data mining. Specifically, those research works on graph neural networks, recommender systems, natural language understanding, etc.
Email: zhiweiliu [at] salesforce [dot] com [OR] jim96liu [at] gmail [dot] com
Latest News
[Oct. 2023] Best short paper honorable mention in CIKM for graph alignment.
[Oct. 2023] Two papers accepted to WSDM 2024.
[Aug. 2023] My paper BOLAA is officially released, which aims to benchmark and orchestrate LLM-augmented Autonomous Agents (LAAs).
[Aug. 2023] Three paper accepted to CIKM! 2 long + 1 short!
[July. 2023] Our Large-scale dialog datasets 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
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection