Yiyang Huang 黄奕洋

Yiyang Huang 黄奕洋

Ph.D. student at NEU

About Me [CV]

I am a second-year Ph.D. student in the College of Engineering at Northeastern University, advised by Prof. Yun Raymond Fu in the SMILE Lab.

I received my B.S. and M.S. degrees from Xidian University, advised by Prof. Xuefeng Liang. During my master's studies, I visited Kyoto University, working with Prof. Takatsune Kumada.

Research interests Multimodal LLMs | Efficiency | Reliability | Hallucination Detection & Mitigation | Video Understanding | Layout Understanding

Actively seeking internship opportunities.

News

TOP Paper list of Video LLM hallucination. Welcome to Star and Contribute!
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
Northeastern University
Adobe Research, San Jose
Research Intern, May 2025 – Nov. 2025
Mentor: Zhaowen Wang; Simon Jenni; Jing Shi
Adobe Research
Kyoto University, Kyoto
Research Student, Sep. 2023 – Mar. 2024
Supervisor: Prof. Takatsune Kumada
Kyoto University
Xidian University, Xi'an
Master Student, Sep. 2021 – Jun. 2024
Undergraduate Student, Sep. 2017 – Jun. 2021
Supervisor: Prof. Xuefeng Liang
Xidian University

Publications [Google Scholar]

Submitted to ARR
Thumbnail: Video LLM Hallucination Survey paper
Distorted or Fabricated? A Survey on Hallucination in Video LLMs
Yiyang Huang, Yitian Zhang, Yizhou Wang, Mingyuan Zhang, Liang Shi, Huimin Zeng, Yun Fu
TL;DR: Authored a survey on Video-LLM hallucinations (taxonomy, benchmarks, mitigations) and maintain a curated repo.
📄 Paper 📚 Repo
Submitted to CVPR
Thumbnail: MASON layout understanding paper
MASON: Compositional Design Layout Understanding in VLMs through Multimodal Alignment and Structural Perception
Yiyang Huang, Zhaowen Wang, Simon Jenni, Jing Shi, Yun Fu
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 CVPR
Thumbnail: Rethinking Fine-Tuning for VLMs paper
Rethinking Fine-Tuning: Unlocking Hidden Capabilities in Vision-Language Models
Mingyuan Zhang, Yue Bai, Yifan Wang, Yiyang Huang, Yun Fu
TL;DR: Applied MFT to VLMs: learnable gating reorganizes subnetworks without weight updates; outperforms LoRA and full fine-tuning.
📄 Paper
ICLR 2026
Thumbnail: SHIELD hallucination mitigation paper
SHIELD: Suppressing Hallucinations In LVLM Encoders via Bias and Vulnerability Defense
Yiyang Huang, Liang Shi, Yitian Zhang, Yi Xu, Yun Fu
TL;DR: Identified encoder-side causes of hallucinations and developed SHIELD, a training-free token-editing module (re-weighting + adversarial decoding) for captioning and VQA.
📄 Paper 💻 Code
EMNLP 2025
Thumbnail: D-CoDe video understanding paper
D-CoDe: Scaling Image-Pretrained VLMs to Video via Dynamic Compression and Question Decomposition
Yiyang Huang, Yizhou Wang, Yun Fu
TL;DR: Developed D-CoDe, a plug-and-play pipeline with dynamic compression and question decomposition for long-video QA under tight context.
📄 Paper 💻 Code
ICASSP 2025
Thumbnail: LipReading low-resource languages paper
LipReading for Low-resource Languages by Language Dynamic LoRA
Shuai Zou, Xuefeng Liang, Yiyang Huang
TL;DR: Developed dynamic LoRA for meta lip shapes and multilingual instruction tuning to improve cross-lingual lipreading in low-resource settings.
📄 Paper
ACMMM 2021
Thumbnail: CALLip lipreading paper
CALLip: Lipreading using Contrastive and Attribute Learning
Yiyang Huang, Xuefeng Liang, Chaowei Fang
TL;DR: Proposed CALLip, leveraging attribute learning to normalize cross-speaker variation and audio-visual contrastive learning to mitigate viseme confusion.
📄 Paper

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

Email huang.yiyan@northeastern.edu / yiyang.huang.hukcc@gmail.com
WeChat hukcc369

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