I‘m a Ph.D. Candidate in the Department of Electrical and Computer Engineering at Florida International University (FIU), where I work as a Graduate Research&Teaching Assistant in Dr. Ou Bai’s Human Cyber-Physical Systems (HCPS) Laboratory. My research focuses on the intersection of Computer Vision, Deep Learning, Embedded Systems, and Multimodal Large Language Models (MLLMs), with an emphasis on real-time, resource-constrained, and wearable AI systems. I have published research in venues across multimedia, biometrics, computer vision, and natural language processing at the top international AI conferences with total .

Currently, I’m working on an AI-powered wearable multimodal multi-task real-time dynamic behavior analysis system, aiming to integrate perception, reasoning, and decision-making into embedded and edge AI platforms. Particularly interested in efficient multimodal LLM inference, model compression, and edge/embedded AI deployment, with the goal of enabling intelligent systems to operate reliably under strict latency, computation, and energy constraints. My research has been applied to a range of real-world cyber-physical systems, including wearable exoskeletons, multimodal emotion recognition, and human–AI interaction systems.

📫 Contact: pxiang@fiu.edu visitor badge

🔥 News

  • 2025.08:  🎉🎉 The [MTCAE-DFER Project] code has been uploaded to GitHub.
  • 2025.07:  🎉🎉 The paper MTCAE-DFER has been accepted by the 9th IEEE International Joint Conference on Biometrics!
  • 2025.06:  🎉🎉 The paper Label Ranker has been published on ACM DL.
  • 2025.05:  🎉🎉 The [Label Ranker Project] code has been uploaded to GitHub.
  • 2025.04:  🎉🎉 The paper Label Ranker has been accepted by the 15th ACM International Conference on Multimedia Retrieval!

📝 Publications

🔆 Spotlight

IJCB 2025
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MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition

Peihao Xiang, Kaida Wu, Ou Bai

IEEE 9th International Joint Conference on Biometrics

8-11 September, 2025 | Osaka, Japan

[IJCB 2025][arXiv][Code]

  • MTCAE-DFER learns robust spatiotemporal facial representations for dynamic expression recognition by cascading autoencoders under a multi-task learning framework that jointly optimizes reconstruction and classification.
ICMR 2025
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Label Ranker: Self-aware Preference for Classification Label Position in Visual Masked Self-supervised Pre-trained Model

Peihao Xiang, Kaida Wu, Ou Bai

ACM 15th International Conference on Multimedia Retrieval

30 June - 3 July, 2025 | Chicago, IL, USA

[ICMR 2025][Paper][Preprints][Code][Video]

  • Label Ranker introduces a self-aware label positioning mechanism for visual masked self-supervised pre-trained models (e.g., MAE-style architectures). It observes that the position at which a classification label (or token) is injected into the model significantly affects downstream performance, yet is usually treated as a fixed or arbitrary design choice.
ICPRS 2024
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MultiMAE-DER: Multimodal Masked Autoencoder for Dynamic Emotion Recognition

Peihao Xiang, Chaohao Lin, Kaida Wu, Ou Bai

IEEE 14th International Conference on Pattern Recognition Systems

15-18 July, 2024 | University of Westminster, London, UK

[ICPRS 2024][Paper][arXiv][Code][Video]

  • MultiMAE-DER proposes a multimodal masked autoencoder framework for dynamic emotion recognition (DER) that learns robust temporal–emotional representations by jointly modeling multiple modalities (e.g., visual, audio, and physiological signals).

📌 Conference Papers

📎 Patents

📖 Educations

  • 2023.01 - 2026.06*, Ph.D. in Electrical and Computer Engineering, Florida International University, Miami, FL, USA.
  • 2021.08 - 2022.12, M.S. in Computer Engineering, Florida International University, Miami, FL, USA.
  • 2015.09 - 2019.06, B.Eng. in Computer Science and Technology, Tianjin University of Commerce Boustead College, Tianjin, China.

💬 Teaching

🎓 Florida Internation University

Spring 2025

  • EGN 1002: Engineering Orientation
  • EEL 2880: C Programming for Embedded Systems
  • CNT 4155: Python Programming in ECE
  • TCN 4081: Telecommunication Network Security
  • TCN 4211: Telecommunication Networks

Summer 2025

  • EEL 3657: Control Systems I
  • EEE 4752: Introduction to Network Forensics and Incident Response

Fall 2025

  • TCN 4211: Telecommunication Networks
  • EEE 4752: Introduction to Network Forensics and Incident Response
  • EEL 4802: Introduction to Digital Forensics Engineering

Spring 2026

  • EEL 3135: Signals and Systems
  • EEL 4802: Introduction to Digital Forensics Engineering
  • EEE 4752: Introduction to Network Forensics and Incident Response
  • TCN 4211: Telecommunication Networks

💻 Professional Activities

🚀 Program Committee

  • The 12th International Conference on Information Management and Big Data (SIMBig 2025)
  • The 20th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2026)
  • The 16th ACM International Conference on Multimedia Retrieval (ICMR 2026)

✒️ Conference Reviewer

  • 2025 International Joint Conference on Neural Networks (IJCNN 2025)
  • The 19th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2025) 2nd Workshop on Interdisciplinary Applications of Biometrics and Identity Science
  • The 15th ACM International Conference on Multimedia Retrieval (ICMR 2025)
  • The 3rd International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA 2026)
  • The 6th International Conference on Electrical, Computer and Energy Technologies (ICECET 2026)
  • 2026 International Joint Conference on Neural Networks (IJCNN 2026)
  • Forty-Third International Conference on Machine Learning (ICML 2026)

🎖 Honors and Awards

  • 2019.07:  🎊🎊 Outstanding Undergraduate Thesis (TUCBC).
  • 2019.06:  🎊🎊 Outstanding Graduate Award (TUCBC).
  • 2018.11:  🎊🎊 Outstanding Student Award (Tianjin).
  • 2017.06:  🎊🎊 The 2nd Prize for 1st College Student Innovation and Entrepreneurship Competition.
  • 2017.05:  🎊🎊 Outstanding Award for College Programming Competition.
  • 2016.03:  🎊🎊 The 2nd Prize for 4th “CATCH” National College Student Internet Software Design Competition.