Stars
GMAN: A Graph Multi-Attention Network for Traffic Prediction (GMAN, https://fanxlxmu.github.io/publication/aaai2020/) was accepted by AAAI-2020.
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
"LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?"
Open-sourced, Fast and Context-aware Action Grounding from GUI Instructions for GUI/Computer-use Agents
(ECCV 2024) Code for V-IRL: Grounding Virtual Intelligence in Real Life
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)
Official implementation for "UniST: A Prompt-Empowered Universal Model for Urban Spatio-Temporal Prediction" (KDD 2024)
"GraphEdit: Large Language Models for Graph Structure Learning"
[KDD'2024] "HiGPT: Heterogenous Graph Language Models"
"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
[EMNLP'2025] "EasyRec: Simple yet Effective Language Model for Recommendation"
PodAgent: A Comprehensive Framework for Podcast Generation
This is the official code of AAAI 2025: RetouchGPT: LLM-based Interactive High-Fidelity Face Retouching via Imperfection Prompting.
[ACL2025] "RecLM: Recommendation Instruction Tuning"
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
"LightAgent: Lightweight and Cost-Effective Mobile Agents"
"DeepResearch-Eval: An End-to-End Evaluation Framework for DeepResearch Systems"