Tengjun Huang

Tengjun Huang

HKUST(GZ)

I am Tengjun Huang, an MPhil student in Artificial Intelligence at The Hong Kong University of Science and Technology (Guangzhou), advised by Prof. Hui Xiong (IEEE, ACM, AAAI, AAAS, CAAI and CCF Fellow). I received my bachelor’s degree from the School of Computer Science, Shandong University, where I was advised by Prof. Jianhua Yin. My passion lies in uncovering the intricate relationships between diverse perceptual modalities and behavioral paradigms. My research interests are primarily focused on multimodal learning, MLLM, and representation learning.

My previous work has centered around computer vision and multimodal learning, delving into the intrinsic connections between a single modality and multiple other modalities. I also possess a background in video understanding, medical image segmentation, and self-supervised learning. Meanwhile, I am also interested in exploring the application of LLM-based agents in multimodal learning.

In my research, I aim to go beyond the surface-level understanding of data and instead seek to uncover deeper. Currently, an increasing number of approaches focus on scaling up data and models to address the gaps between different modalities, with the aim of learning holistic semantic connections. However, it may also be important to pay attention to underlying issues that cannot be resolved by simply enlarging the task scale. On the other hand, we should perhaps explore more diverse learning paradigms, such as more fundamental task design, more efficient feature storage structures, more generalized optimization methods, and tighter representation coupling. This approach ensures that when conventional development paths encounter challenging dilemmas, we still have various alternative strategies to explore. This perspective drives me to explore innovative methods and frameworks that can effectively integrate and leverage these interactions.

I am looking for PhD opportunities for Fall 2027. If you are interested in discussing my research, please feel free to contact me. [📧Email]

🔥 News

  • 2026.10:  📝 Submitted one paper to VLDB 2027 (sole first author).
  • 2026.05:  📝 Submitted one paper to NeurIPS 2026 (co-author).
  • 2025.06:  🎓 Graduated from Shandong University. Completed my bachelor thesis with Excellent.
  • 2025.01:  🎉 Thrilled to receive an offer from HKUST(GZ) for the MPhil program.
  • 2024.03:  🎉 My independent work on “Multimodal Representation Alignment and Efficient Transfer Learning” was accepted to the workshop of The Twelfth International Conference on Learning Representations (ICLR 2024).
  • 2023.11:  🏆 Achieved 2nd place (Runner-up) in all tracks of the NeurIPS 2023 Road Event Detection with Requirements Challenge and gave an oral presentation at NeurIPS 2023. (Competed solo: Track 1 — ranked 2nd out of 318 submissions by different teams, Track 2 — ranked 2nd out of 149 submissions by different teams).

📝 Selected Papers

* Equal contribution. † Corresponding author.

Reprise: One Graph Pass for Two GNN Updates

Tengjun Huang, Haiqi Jiang, Fuxiang Zhai, Yijie Xu, Hui Xiong†
Under review at VLDB 2027.

Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment

Tengjun Huang
The Twelfth International Conference on Learning Representations (ICLR 2024), ML4RS.
[Paper] [Arxiv] Stars

Latent Action Control for Reasoning-Guided Unified Image Generation

Fuxiang Zhai*, Sixiang Chen*, Yingjin Li, Shuaibo Li, Jianyu Lai, Tengjun Huang, Lei Zhu†
Under review at CVPR 2027 (co-author).
[Arxiv]

🎖 Honors and Awards

  • 2nd Place (Runner-up) in All Tracks (Oral Presentation & Solo), NeurIPS 2023 ROAD-R Challenge, 2023
  • National Gold Medal, Chinese Collegiate Algorithm Design & Programming Challenge Contest, 2022
  • Asian Second Prize (Leader), Asia and Pacific Mathematical Contest in Modeling, 2022
  • Top 0.2% Worldwide (Solo), Alibaba Cloud Tianchi Tmall Repurchase Prediction Challenge, 2023
  • Second Prize, National College Mathematical Contest (CMC, organized by the Chinese Mathematical Society), 2022
  • Second Prize (Leader), China Contemporary Undergraduate Mathematical Contest in Modeling (CUMCM), 2022
  • First Prize (Top 5% & Leader), Mathematical Modeling Contest of Shandong University, 2022
  • National Third Prize, National Finals of New Engineering National Innovation Competition, 2023
  • National Third Prize (Top 3%), The 17th iCAN Innovation Contest (National Finals), 2023
  • First-Class (Top 1.2%), Research and Innovation Scholarship of Shandong University, 2022

💡 Patents

Old people's behavioral safety monitored control system

Jiahui Cui, Tengjun Huang, Dongxu Liu, Xiaohuan Zhao, Siyuan Niu, Jiayi Lu, Yunhan Hu, Zhengshuai Jiang, Guangrun Wu
Invention Patent Grant, China National Intellectual Property Administration.
Publication of CN116246424B.

💼 Academic Service

  • Journal Reviewer: IEEE Transactions on Artificial Intelligence (TAI).

📖 Educations

  • 2025 - (expected 2027): MPhil Student in Artificial Intelligence, The Hong Kong University of Science and Technology (Guangzhou). Advisor: Prof. Hui Xiong.
  • 2021 - 2025: B.Eng. in Artificial Intelligence, Shandong University. Advisor: Prof. Jianhua Yin.

💬 Oral Presentations

  • Dec 2023, the Thirty-seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), Ernest N. Morial Convention Center, New Orleans, US, Room 353.