Haojian Huang (黃浩健)

Haojian Huang
黃浩健

Master Student, Computer Science, The University of Hong Kong

Do not go gentle into that good night


Biography

Haojian Huang is a master student at the University of Hong Kong. He previously interned at TeleAI, where he was mentored by Professor Xuelong Li and Associate Professor Mulin Chen. His researh encompasses Trusted AI, Personalized AGI and Video Understanding. Currently, he is preparing to further focus on Embodied AI, with the goal of creating more engaging and reliable solutions for human well-being and animal welfare. Additionally, he leads CareerSynapse, a dynamic, student-driven business group that fosters creativity and practical applications using large language models (LLMs). He welcomes ANY AI research collaboration and is actively seeking research intern and Ph.D opportunities. Feel free to get in touch with him at haojianhuang927 AT gmail.com.

Interests

  • Trusted AI
  • Personalized AGI
  • Video Understanding
  • Embodied AI

Education

  • MSc in Computer Science, 2024-2025
    Department of Computer Science
  • BSc in Computer Science, 2020-2024
    Department of Computer Science

Recent Publications & Preprints

Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He.
Zhe Liu, Haojian Huang, Sukumar Letchmunan.
Haojian Huang, Xiaozhen Qiao, Zhuo Chen, Haodong Chen, Bingyu Li, Zhe Sun, Mulin Chen, Xuelong Li.
Kaijing Ma, Haojian Huang, Jin Chen, Haodong Chen, Pengliang Ji, Xianghao Zang, Han Fang, Chao Ban, Hao Sun, Mulin Chen, Xuelong Li.
Jin Chen, Kaijing Ma, Haojian Huang, Jiayu Shen, Han Fang, Xianghao Zang, Chao Ban, Zhongjiang He, Hao Sun, Yanmei Kang.
Haojian Huang, Zhe Liu, Sukumar Letchmunan, Muhammet Deveci, Mingwei Lin, Weizhong Wang.

CareerSynapse

Leader

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Haojian Huang

Master Student, Computer Science, The University of Hong Kong

Advisory Committee

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Haodong Chen

Undergrad., School of Automation, Northwestern Polytechnical University

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Xiaozhen Qiao

Ph.D Student, School of Information Science and Technology, University of Science and Technology of China

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Zhe Liu

Researcher, School of Computer Science, Universiti Sains Malaysia

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Zili Zou

Master Student, Department of Electronic Engineering, Tsinghua University

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Jin Chen

Master Student, School of Mathematics and Statistics, Xi’an Jiaotong University

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Kaijing Ma

Master Student, Faculty of Electronic and Information Engineering, Xi’an Jiaotong University

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Chuanyu Qin

Master Student, Computer Science, Institute of Information Engineering,Chinese Academy of Sciences

Developers

Projects

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VIDEO TEMPORAL GROUNDING

Evidential Deep Learning for Robust Video Temporal Grounding

DYNAMIC FACIAL EXPRESSION RECOGNITION

Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

VIDEO TEMPORAL GROUNDING

Evidential Deep Learning for Robust Video Temporal Grounding

CREST

Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning

TUNED

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

PARTIAL MULTI-VIEW CLASSIFICATION

Evidential Deep Partial Multi-View Classification With Discount Fusion

PARTIAL MULTI-VIEW CLASSIFICATION

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification

DYNAMIC FACIAL EXPRESSION RECOGNITION

Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs

MULTIMODAL AFFECTIVE COMPUTING

Recent Trends of Multimodal Affective Computing: A Survey from NLP Perspective

GaussianVTON

3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting

Contact

  • (+852) 5957 4603
  • Department of Computer Science, Chow Yei Ching Building, The Univeristy of Hong Kong, Pokfulam Road, Hong Kong,
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