Stars
Dynamic-memory-first collaborative AI framework for long-form story generation, chapter planning, and coherent narrative writing
PPT-Centric Multimodal RAG for Study Preview & Exam Review
iLearn-Agent / VideoAgent
Forked from HKUDS/VideoAgent"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"
iLearn-Agent / ViMax
Forked from HKUDS/ViMax"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
TailorRec: Recommendation for AI-Generated Content
"VideoAgent: All-in-One Agentic Framework for Video Understanding, Editing, and Remaking"
"RAG-Anything: All-in-One RAG Framework"
[EMNLP2025] "RecGPT: A Foundation Model for Sequential Recommendation"
"ViMax: Agentic Video Generation (Director, Screenwriter, Producer, and Video Generator All-in-One)"
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
PodAgent: A Comprehensive Framework for Podcast Generation
"Your Fully-Automated Personal AI Assistant"
[ACL2026] "MiniRAG: Making RAG Simpler with Small and Open-Sourced Language Models"
[ACL2025] "RecLM: Recommendation Instruction Tuning"
[WSDM'25] "LightGNN: Simple Graph Neural Network for Recommendation"
[WSDM'2025] "DiffGraph: Heterogeneous Graph Diffusion Model"
[ICML 2025] "SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator"
[EMNLP2025] "GraphAgent: Agentic Graph Language Assistant"
[WSDM'2025] "MixRec: Heterogeneous Graph Collaborative Filtering"
[EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"
[CIKM'2024] "EasyST: A Simple Framework for Spatio-Temporal Prediction"
[EMNLP'2025] "EasyRec: Simple yet Effective Language Model for Recommendation"
"OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction"
[ACM CSUR] "A Comprehensive Survey of Self-Supervised Learning for Recommendation"
[CIKM'2024] "RecDiff: Diffusion Model for Social Recommendation"
[SIGIR'2024] "SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation"