Hong Li
6 indexed papers
Publications per year
Top categories
Frequent co-authors
Research Timeline
This paper proposes ChronoID, a framework for time-aware semantic ID learning in generative recommendation.
Introduce Parallel-Synthesis, a framework enabling a synthesizer to directly consume parallel agent branches' KV caches, improving efficiency and performance.
EgoGuide improves data efficiency for robot learning from real-world demonstrations by recording synchronized wrist and head/egocentric observations and providing online visual-geometric data quality guidance.
The paper presents KVEraser, a learned KV-cache editing method for efficient localized context erasing in long-context LLM applications.
This paper improves the approximation algorithm for the prize-collecting stroll problem.
This paper proposes G2Rec, a scalable framework for industrial-scale generative recommendation that unifies graph-based user co-engagement modeling and semantic tokenization.
Papers
Structuring and Tokenizing Distributed User Interest Context for Generative Recommendation
Ruizhong Qiu, Yinglong Xia, Dongqi Fu, Hanqing Zeng +5 more
This paper proposes G2Rec, a scalable framework for industrial-scale generative recommendation that unifies graph-based user co-engagement modeling and semantic tokenization.