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Tianyu Pang

3 papers indexed

arxivcs.CVcs.LG2026-07-16

MeanFlowNFT: Bringing Forward-Process RL to Average-Velocity Generators

Yushi Huang, Xiangxin Zhou, Jun Zhang, Liefeng Bo, Tianyu Pang

MeanFlow generators achieve fast few-step sampling by predicting average velocities over time intervals, making them attractive for efficient generation. Reinforcement learning (RL) has become a powerful way to align diffusion and flow models with human preferences and task-speci…

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arxivcs.ITcs.AIeess.SP2026-07-14

Active Beyond-Diagonal RIS Empowered Heterogeneous Edge Computing: A Distributional Reinforcement Learning Approach

Tianyu Pang, Hongyu Li

Active beyond-diagonal reconfigurable intelligent surfaces (BD-RISs) enables hybrid transmitting and reflecting mode to achieve effective signal amplification and full-space coverage, thus providing a promising solution for blockage-aware uplink offloading in heterogeneous mobile…

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arxivcs.CV2026-06-26

TempAct: Advancing Temporal Plausibility in Autoregressive Video Generation via Planner-Executor RL

Jing Wang, Xiangxin Zhou, Jiajun Liang, Kaiqi Liu, Wanyuan Pang, Zhenyu Xie, et al.

Autoregressive (AR) video diffusion models enable low-latency streaming generation by synthesizing videos chunk by chunk with cached visual context, but this chunk-wise formulation makes temporal instruction following ambiguous. A single global prompt does not specify which sub-e…

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