Core Research
Multimodal Emotion Understanding
Modeling emotion from speech, vision, and text with depth-aware representations.
Hi, I'm
Zhishuo
Multimodal AI researcher focused on emotion understanding, LLM systems, and practical intelligent products.
About
I build intelligent systems that connect language, vision, and audio. My interests include multimodal affective computing, robust routing for experts, and turning research prototypes into products that people can actually use.
Research Focus
Systems
LLM + MoE Systems
Task-adaptive routing and efficient expert collaboration for better generalization.
Impact
Applied AI Products
Bridging research and deployment through reliable workflows and automation.
Selected Projects
Representative directions across research and productization.
Research
HEME
Hierarchical emotion modeling with adaptive multi-level mixture-of-experts.
Platform
Emotion Agent Stack
End-to-end pipeline for multimodal emotion analysis and conversational AI.
Workflow
OpenClaw Workflow Lab
Personal automation workflows for research, coding, and assistant orchestration.
Tooling
Paper-to-Product Toolkit
Templates and scripts to accelerate turning academic ideas into usable demos.
News
Latest paper and research updates.
- 2025π Our paper "AV-RISE: Hierarchical Cross-Modal Denoising for Learning Robust Audio-Visual Speech Representation" is accepted at ACM MM 2025.
- 2024π Published "WinNet: Make Only One Convolutional Layer Effective for Time Series Forecasting" in ICIC 2025.
- 2024π Our paper "AMG-AVSR: Adaptive Modality Guidance for Audio-Visual Speech Recognition via Progressive Feature Enhancement" is accepted at ACML 2024.
Resume
RepositoryFor full CV details, publication list, and timeline, please contact me by email or GitHub. (You can replace this block with your PDF CV link anytime.)
Blog
Blog posts are coming soon. You can use this section for research notes, engineering logs, and project retrospectives.
Contact
Available for collaborationOpen to collaboration, research exchange, and product building.