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Haochen Liu

4 papers indexed

arxivcs.LGcs.AIcs.CL2026-07-15

Discrete Diffusion Models: A Unified Framework from Tokenization to Generation

Ye Yuan, Weien Li, Rui Song, Zeyu Li, Haochen Liu, Xiangyu Kong, et al.

Discrete denoising diffusion models (DDMs) have recently emerged as a compelling alternative to autoregressive (AR) modeling for discrete data, offering parallel generation and iterative global refinement capabilities. Unlike continuous diffusion, where the state space is fixed,…

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arxiveess.SY2026-07-01

Queue-Aware Graph Reinforcement Learning for UAV-ISAC-Assisted Maritime Data Collection

Bohan Li, Min Ye, Haochen Liu, Yongkang Gong, Ning Gao, Jie Nie, et al.

This paper studies high-altitude platform (HAP)-assisted sparse cooperative integrated sensing and communication (ISAC) for UAV-enabled ocean monitoring. A fleet of rotary-wing UAVs senses drifting buoys, collects their monitoring data, and reports local posterior estimates to a…

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arxivcs.RO2026-06-30

Human-as-Humanoid: Enabling Zero-Shot Humanoid Learning from Ego-Exo Human Videos with Human-Aligned Embodiments

Xiaopeng Lin, Ruoqi Yang, Shijie Lian, Zhaolong Shen, Bin Yu, Changti Wu, et al.

Vision-language-action (VLA) models across robot embodiments require high-quality observation--action supervision to learn deployable action distributions, yet scaling such robot data remains difficult, especially for high-DoF humanoids. Teleoperation provides controller-aligned…

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