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Home/Authors/Hong Yan

Hong Yan

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

AI×4Info Retrieval×1NLP×1

Frequent co-authors

Dongqi Fu2×
Yinglong Xia2×
Hong Li2×
Dongdong Nian1×
Chenliang Xu1×
Jian Kang1×

Research Timeline

2026
Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning

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).

Global Policy-Space Response Oracles for Two-Player Zero-Sum Games

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.

ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation

This paper proposes ChronoID, a framework for time-aware semantic ID learning in generative recommendation.

Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows

Introduce Parallel-Synthesis, a framework enabling a synthesizer to directly consume parallel agent branches' KV caches, improving efficiency and performance.

Highlighted terms show continued research focus across papers

Papers

cs.IRcs.AIEmpiricalRecentJun 12, 2026

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.

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cs.AIcs.CLEmpiricalRecent
Jun 12, 2026

Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflows

Shikun Liu, Mufei Li, Dongqi Fu, Haoyu Wang +4 more

Introduce Parallel-Synthesis, a framework enabling a synthesizer to directly consume parallel agent branches' KV caches, improving efficiency and performance.

View →
cs.AIRecentMay 27, 2026

Modeling Vehicle-Type-Specific Pedestrian Crash Avoidance Behavior in Safety-Critical Interactions Using Smooth-Mamba Deep Reinforcement Learning

Qingwen Pu, Kun Xie, Hong Yang, Di Yang +1 more

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…

View →
cs.AIRecentMay 27, 2026

Global Policy-Space Response Oracles for Two-Player Zero-Sum Games

Junyu Zhang, Feihong Yang, Jian Wang, Chao Wang +1 more

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…

View →