Hong Yan
4 indexed papers
Publications per year
Top categories
Frequent co-authors
Research Timeline
The paper develops a novel deep reinforcement learning framework, SMamba-DDPG, to accurately model vehicle-type-specific pedestrian crash avoidance behavior, finding that pedestrians react faster and more cautiously to automated vehicles (AVs) than to human-driven vehicles (HDVs).
The paper introduces Global PSRO, a novel deep reinforcement learning framework that efficiently approximates Nash equilibria in large two-player zero-sum games by intelligently expanding the strategy set using a metric called Population Exploitability.
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.
Papers
ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation
Dongdong Nian, Dongqi Fu, Chenliang Xu, Yinglong Xia +3 more
This paper proposes ChronoID, a framework for time-aware semantic ID learning in generative recommendation.