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Author

Chi-man Pun

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Preprint Aug 2026

An Interactive Agent for Requirement-Driven Candidate Sourcing

Finding people from a natural-language description (``ML engineers transitioning to research roles in biotech'') is increasingly delegated to LLM agents and framed as information retrieval. We argue that it is fundamentally a requirements engineering task: such a request is an under-determined requirement with implicit...

Yuanpeng He, Fang-Chen Li, Xiang-Yu Ru et al. · 0 citations
Preprint Aug 2026

ETHead: Generating Expressive 3D Facial Animation and Head Movement from Speech

Generating expressive 3D talking heads solely from speech remains a significant challenge due to the scarcity of high-fidelity 3D data, which limits the modeling of complex emotional motion patterns. In this paper, we introduce \textbf{E}xpressive \textbf{T}alking \textbf{Head} (ETHead), a method for generating 3D faci...

Jiucheng Xie, Jiwang Zheng, Yongkang Xia et al. · 0 citations
Aug 2026

Interpretation Before Integration: LLM-Guided Multimodal Completion and Fusion Network for Survival Analysis With Incomplete Data

Multimodality survival analysis for nasopharyngeal carcinoma (NPC) holds great potential for improving prognosis prediction and clinical decision-making. However, it is challenged by structural and semantic misalignments across heterogeneous data. Structural misalignment arises from incomplete clinical records, where m...

Fen Ling, Haoming Zeng, Ming Li et al. · 0 citations
Preprint Aug 2026

EditaLive! Unified Character Video Editing for Live Streaming

Conventional video editing primarily focuses on scene-level content, whereas live streaming places greater emphasis on the human subject. However, directly applying existing video-editing methods to human-centric live streaming remains challenging, as they may introduce facial-expression inconsistencies and typically d...

Zhiyuan Li, Chi-Man Pun, Peng-Tao Jiang et al. · 0 citations
Preprint Aug 2026

Fast Test-Time Refinement for Robust Learned Image Compression

This study reveals an Asymmetric Adversarial Trajectory (AAT) property in LIC systems: transitioning from adversarial to benign regions is significantly easier than the reverse process, where adversarial examples can often be roughly recovered within only 1-2 steps.

Jia-Ming Liang, Chi-Man Pun, Weisi Lin · 0 citations

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