Yue Duan

Yue Duan (段岳)

Ph.D. candidate


Affiliation: Reasoning and Learning Group
- School of Computer Science
- National Institute of Healthcare Data Science
- State Key Laboratory for Novel Software Technology
- Nanjing University, Nanjing 210023, China
E-mail: yueduan@smail.nju.edu.cn
Supervisor: Professor Yinghuan Shi

About Me

I am currently a Ph.D. candidate in School of Computer Science at Nanjing University and a member of Reasoning and Learning Group led by Prof. Yang Gao, fortunately supervised by Prof. Yinghuan Shi. My research interest lies in semi-supervised learning, multimodal learning and large multimodal models.

News
  • [Jul 2026] One first-author paper "Unified Multimodal Model Proficient in Continued Training" accepted to ACM Multimedia 2026 — proposes a unified multimodal model capable of continual learning without forgetting.

  • [May 2026] Started as an A-STAR Intern at Alibaba Cloud (ATH-MaaS), working on AI-generated video quality inspection.

  • [Mar 2026] Three co-authored papers accepted to CVPR 2026, AAAI 2026, and ICML 2026 on MLLM hallucination mitigation, vision-language continual learning, and model merging.

Interests
  • Semi-supervised Learning
  • Multimodal Learning
  • Large Multimodal Models
Education
  • Ph.D. candidate in Computer Science and Technology

    Nanjing University, 2023 -

  • M.Sc.'s student as part of the Ph.D. program in Computer Science and Technology

    Nanjing University, 2021 - 2023

  • B.Eng. in Computer Science and Technology

    Harbin Institute of Technology, Weihai, 2017 - 2021

Publications

First-Author Publications

NEWACMMM 2026 Unified Multimodal Model Proficient in Continued Training
TIP 2025 An Adaptor for Triggering Semi-Supervised Learning to Out-of-Box Serve Deep Image Clustering
AAAI 2024 Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Co-Authored Publications

NEWCVPR 2026 One Token, Two Fates: A Unified Framework via Vision Token Manipulation Against MLLMs Hallucination
NEWAAAI 2026 Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA
NEWICML 2026 When Shared Knowledge Hurts: Spectral Over-Accumulation in Model Merging
AAAI 2024 PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance
CVPR 2022 DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning

Grants

  • NSFC Youth Student Basic Research Program (Ph.D. Candidate): "Theoretical Research and Application of Continual Learning in Multimodal Large Language Models"
  • 2025 CIE-Tencent Ph.D. Candidate Research Incentive Program (Hunyuan Large Model Special Project): "Research on Visual Generation Large Models", selected as one of only 23 people worldwide

Awards & Honors

Student Awards
  • 2025Ministry of Education National Scholarship (Ph.D. Candidates), awarded to 20,000 Ph.D. candidates nationwide
  • 2025Moutai "Pillars of the Nation" Talent Program (Graduate Students), awarded to top 3 graduate students university-wide
  • 2024NJU Special Grand Prize of the Pillar Scholarship (Graduate Students), awarded to top 9 graduate students university-wide
  • 2023NJU Guorui Scholarship of The 14th Research Institute of China Electronics Technology Group Corporation, 1 recipient in School of Computer Science
  • 2022NJU Talent First Prize Scholarship
  • 2020HIT Renmin First Prize Scholarship
  • 2019HIT Renmin First Prize Scholarship
Student Honors
  • 2025Tencent Rhino-bird Research Elite Program, selected as one of only 70+ people worldwide
  • 2024NJU Outstanding Graduate Student Role Model, 15 recipients in School of Computer Science
  • 2022NJU Outstanding Graduate Student
  • 2021HIT Outstanding Graduating Students and Thesis Awards
Contests
  • 2020MCM/ICM Finalist
  • 2019MCM/ICM Honorable Mention
  • 2019CUMCM Provincial Third Prize

Experience

 
 
 
 
 
Alibaba Group
Alibaba Cloud
ATH-MaaS
A-STAR Intern, Alibaba Cloud
ATH-MaaSHangzhouMay 2026 - Now
AI-generated Video Quality Inspection Model Post-training (AI视频质检模型后训练)
 
 
 
 
 
Tencent
Hunyuan
Rhino-bird Program
Rhino-bird Research Elite Program, Tencent
Hunyuan (混元)ShanghaiJune 2025 - February 2026
Research on Continual Pre-training and Fine-Tuning of Text-to-Image/Video Models (文生图/视频模型的继续预训练和精调研究)
 
 
 
 
 
Ant Group
Ant Security Lab
Research Intern, Ant Group
TiansuanLab (天筭安全实验室)ShanghaiMay 2023 - November 2023
Network-Wide Inspection: Pre-training with Large-Scale Site Data (全网巡检:大规模站点数据预训练)
 
 
 
 
 
Nanjing University
NIHDS of NJU
Research Intern, Nanjing University
Research on Semi-supervised Medical Image Detection (半监督医疗影像检测算法研究)