collaborators

6 papers

cs.CV2026

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding

Chiyue Wang, Dong She, Yang Gao +1

Electromyography (EMG) directly reflects muscle activation and is a key sensing modality for gesture recognition, prosthetic control, and wearable interaction. Existing EMG methods…

cs.CV2026

EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness

Yueru Sun, Yimeng Zhang, Haoyu Gu +5

Multimodal Emotion Recognition (MER) is critical for interpreting real-world interactions. While Multimodal Large Language Models (MLLM) have shown promise in MER, their internal d…

cs.CL2026

Persona-E: A Human-Grounded Dataset for Personality-Shaped Emotional Responses to Textual Events

Yuqin Yang, Haowu Zhou, Haoran Tu +7

Most affective computing research treats emotion as a static property of text, focusing on the writer's sentiment while overlooking the reader's perspective. This approach ignores…

cs.CV2026

AICA-Bench: Holistically Examining the Capabilities of VLMs in Affective Image Content Analysis

Dong She, Xianrong Yao, Liqun Chen +3

Vision-Language Models (VLMs) have demonstrated strong capabilities in perception, yet holistic Affective Image Content Analysis (AICA), which integrates perception, reasoning, and…

cs.HC2025

IMUFace: Towards Always-On 3D Facial Reconstruction via Earphone Inertial Sensing

Xianrong Yao, Lingde Hu, Dong She +3

The potential of facial expression reconstruction technology is significant, with applications in various fields such as human-computer interaction, affective computing, and virtua…

cs.CL2025

Empathy-R1: A Chain-of-Empathy and Reinforcement Learning Framework for Long-Form Mental Health Support

Xianrong Yao, Dong She, Chenxu Zhang +5

Empathy is critical for effective mental health support, especially when addressing Long Counseling Texts (LCTs). However, existing Large Language Models (LLMs) often generate repl…