CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning, ACM MM' 24

ACM MM'24 Paper

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs ACM MM'24

Project and Code

Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding

Porject and Code

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

arXiv'24

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

arXiv'24

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

Project and Code

BoViLA: Bootstrapping Video-Language Alignment via LLM-Based Self-Questioning and Answering

Github

Evidential Deep Partial Multi-View Classification With Discount Fusion

arXiv'24

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification

arXiv'24

Adaptive weighted multi-view evidential clustering with feature preference, KBS'24

Github

A belief logarithmic similarity measure based on Dempster-Shafer theory and its application in multi-source data fusion

Github

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

Haojian Huang (黃浩健)

Project

【2024-05-23】Served as a reviewer for NeurIPS'24.

2024-05-23

Haojian Huang (黃浩健)

【2024-02-22】Work as an intern in TeleAI !!!

2024-02-22

Haojian Huang (黃浩健)

Recent Publications & Preprints

Haojian Huang, Chuanyu Qin, Zhe Liu, Kaijing Ma, Jin Chen, Han Fang, Chao Ban, Hao Sun, Zhongjiang He. Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification (arXiv 2024)

Zhe Liu, Haojian Huang. Comment on “new cosine similarity and distance measures for fermatean fuzzy sets and topsis approach” (Knowledge and Information Systems, 2023)

Haodong Chen, Yongle Huang, Haojian Huang, Xiangsheng Ge, Dian Shao. GaussianVTON: 3D Human Virtual Try-ON via Multi-Stage Gaussian Splatting Editing with Image Prompting (arXiv 2024)

Haojian Huang, Zhe Liu, Xue Han, Xiangli Yang, Lusi Liu. A belief logarithmic similarity measure based on dempster-shafer theory and its application in multi-source data fusion (Journal of Intelligent & Fuzzy Systems 2023)

Zhe Liu, Haojian Huang, Sukumar Letchmunan. Adaptive weighted multi-view evidential clustering (ICANN 2023)

Zhe Liu, Haojian Huang, Sukumar Letchmunan, Muhammet Deveci. Adaptive weighted multi-view evidential clustering with feature preference (Knowledge-Based Systems 2023).

Haojian Huang, Xiaozhen Qiao, Zhuo Chen, Haodong Chen, Bingyu Li, Zhe Sun, Mulin Chen, Xuelong Li. CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning (ACM MM 2024).

Haodong Chen, Haojian Huang, Junhao Dong, Mingzhe Zheng, Dian Shao. Finecliper: Multi-modal fine-grained clip for dynamic facial expression recognition with adapters (ACM MM 2024).

Kaijing Ma, Haojian Huang, Jin Chen, Haodong Chen, Pengliang Ji, Xianghao Zang, Han Fang, Chao Ban, Hao Sun, Mulin Chen, Xuelong Li. Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding (arXiv 2024).

Haojian Huang, Zhe Liu, Sukumar Letchmunan, Muhammet Deveci, Mingwei Lin, Weizhong Wang. Evidential Deep Partial Multi-View Classification With Discount Fusion (arXiv 2024).

CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning, ACM MM' 24

FineCLIPER: Multi-modal Fine-grained CLIP for Dynamic Facial Expression Recognition with AdaptERs ACM MM'24

Beyond Uncertainty: Evidential Deep Learning for Robust Video Temporal Grounding

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

Trusted Unified Feature-Neighborhood Dynamics for Multi-View Classification

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

BoViLA: Bootstrapping Video-Language Alignment via LLM-Based Self-Questioning and Answering

Evidential Deep Partial Multi-View Classification With Discount Fusion

Towards Robust Uncertainty-Aware Incomplete Multi-View Classification

Adaptive weighted multi-view evidential clustering with feature preference, KBS'24

A belief logarithmic similarity measure based on Dempster-Shafer theory and its application in multi-source data fusion

Haojian Huang 黃浩健

Master Student, Computer Science, The University of Hong Kong

Do not go gentle into that good night

Biography

Interests

Education

News

Recent Publications & Preprints

CareerSynapse

Leader

Master Student, Computer Science, The University of Hong Kong

Advisory Committee

Undergrad., School of Automation, Northwestern Polytechnical University

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

Researcher, School of Computer Science, Universiti Sains Malaysia

Master Student, Department of Electronic Engineering, Tsinghua University

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

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

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

Developers

Projects

Contact

Haojian Huang
黃浩健