About Me [CV]
I am a Ph.D. candidate in the SMILE Lab of the Department of ECE, Northeastern University, under the supervision of Prof. Yun Raymond Fu (Member of the Academy of Europe, European Academy of Sciences and Arts; Fellow of ACM, IEEE, AAAI, AAAS, US National Academy of Inventors). I received my B.S. and M.S. degrees from Xidian University, advised by Prof. Xuefeng Liang. I have interned at Adobe Research and visited Kyoto University.
Research interests Multimodal LLMs | Efficiency | Reliability | Hallucination Detection & Mitigation | Video Understanding | Layout Understanding
Actively seeking internship opportunities for Fall 2026 and Spring/Summer 2027. Feel free to reach out for research collaborations or any inquiries!
News
TOP Paper list of Video LLM hallucination. Welcome to Star and Contribute!
Apr. 2026 One Video-LLM Hallucination survey paper accepted by ACL 2026 Apr. 2026 One co-authored paper IDEA accepted by IEEE FG 2026 Jan. 2026 One paper SHIELD accepted by ICLR 2026
Dec. 2025 Passed the Ph.D. Qualifying Exam, thanks to my advisor and committee members.
Aug. 2025 One paper D-CoDe accepted by EMNLP 2025 May 2025 Started Research Internship at Adobe Research. Sep. 2024 Started my journey at Northeastern University. Experience
SMILE Lab, Northeastern University, Boston
Ph.D. Student, Sep. 2024 – Present
Supervisor: Prof. Yun Raymond Fu

Adobe Research, San Jose
Research Intern, May 2025 – Nov. 2025

Xidian University, Xi'an
Master Student, Sep. 2021 – Jun. 2024
Undergraduate Student, Sep. 2017 – Jun. 2021
Supervisor: Prof. Xuefeng Liang

Publications [Google Scholar]
Submitted to ECCV
MASON: Compositional Design Layout Understanding in VLMs through Multimodal Alignment and Structural Perception
TL;DR: Diagnosed failure modes in layered designs (semantic drift, structural ambiguity) and built MASON, a plug-and-play framework with metadata-aware alignment and structural cue injection.
Submitted to ECCV
ACL 2026
Distorted or Fabricated? A Survey on Hallucination in Video LLMs
TL;DR: Authored a survey on Video-LLM hallucinations (taxonomy, benchmarks, mitigations) and maintain a curated repo.
IEEE FG 2026
IDEA: Capturing Individual Differences of Facial Expression for Authentic Expression Generation
TL;DR: Trained a CLIP-style contrastive model with identity and expression modalities to guide text-to-image generation toward more authentic, individual-specific expressions.
ICLR 2026
EMNLP 2025
ICASSP 2025
ACMMM 2021
Academic Service
Conference Reviewer FG, ARR
Journal Reviewer ACM TKDD
Honors & Awards
2022 Outstanding Student, Xidian University
2021 National Scholarship, China
2021 Undergraduate Computer Design Competition (1st Prize), China
2019 RoboMaster National Robotics Competition (2nd Prize), China
2019 ICRA AI Challenge (3rd Prize)
Teaching Experience
Fall 2025 TA — DS 5110 Essentials of Data Science
Spr. 2026 TA — DS 5020 Fundamentals of Linear Algebra and Probability
Contact
WeChat hukcc369
