I am a first-year student in College of Engineering at Boston University (BU), advised by Prof. Yigong Hu.
I earned my master’s degree (MPhil.) in Data Science and Analytics Thrust (DSA) at The Hong Kong University of Science and Technology (Guangzhou), supervised by Prof. Zeyi Wen and co-supervised by Prof. Xinyu Chen. Before that, I received my bachelor’s degree (B.Eng.) at Guangzhou University, where I was fortunate to work closely with Prof. Xue-Feng Yuan during my junior and senior years.
I used to study data sparsity problems in sequential recommender system and applications of low-rank techniques in large language models, published 6 papers (my google scholar: 
🔥 News
- 2025.07: 🎓 Received my master’s degree (MPhil. in Data Science and Analytics) at The Hong Kong University of Science and Techonlogy.
📝 Publications
System
gigiProfiler: Diagnosing Performance Issues by Uncovering Application Resource Bottlenecks
Yigong Hu, Haodong Zheng, Yicheng Liu, Dedong Xie, Youliang Huang, Baris Kasikci
- Introduce OmniResource Profiling to track both system-level and application-level resources to comprehensively dignose resource bottlenecks.
- Using hybrid LLM-static analysis approach to identify application resources with LLMs and analyze performance bottlenecks with buggy execution.
Large Language Models
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ICCV 2025Efficient Fine-Tuning of Large Models via Nested Low-Rank Adaptation
Lujun Li, Cheng Lin, Dezhi Li, You-Liang Huang, Wei Li, Tianyu Wu, Jie Zou, Wei Xue, Sirui Han, Yike Guo -
AAAI 2025SoLA: Leveraging Soft Activation Sparsity and Low-Rank Decomposition for Large Language Model Compression
Xinhao Huang, You-Liang Huang, Zeyi Wen -
AAAI 2025Towards Efficient Low-order Hybrid Optimizer for Language Model Fine-tuning
Minping Chen, You-Liang Huang, Zeyi Wen -
ICML 2025MoE-SVD: Structured Mixture-of-Experts LLMs Compression via Singular Value Decomposition
Wei Li, Lujun Li, Hao Gu, You-Liang Huang, Mark G. Lee, Shengjie Sun, Wei Xue, Yike Guo
📊 Recommender System
When Large Vision Language Models Meet Multimodal Sequential Recommendation: An Empirical Study
Peilin Zhou, Chao Liu, Jing Ren, Xinfeng Zhou, Yueqi Xie, Meng Cao, Zhongtao Rao, You-Liang Huang, Dading Chong, Junling Liu, Jae Boum Kim, Shoujin Wang, Raymond Chi-Wing Wong, Sunghun Kim
- Introduces MSRBench, the first benchmark to systematically evaluate the integration of Large Vision Language Models (LVLMs) in multimodal sequential recommendation.
- Compares five integration strategies (recommender, item enhancer, reranker, and two combinations), identifying reranker as the most effective.
- Constructs the enhanced dataset Amazon Review Plus, with LVLM-generated image descriptions to support more flexible item modeling.
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WWW 2024Is contrastive learning necessary? a study of data augmentation vs contrastive learning in sequential recommendation
Peilin Zhou*, You-Liang Huang*, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim -
ArXivExploring Recommendation Capabilities of GPT-4V (ision): A Preliminary Case Study
Peilin Zhou, Meng Cao, You-Liang Huang, Qichen Ye, Peiyan Zhang, Junling Liu, Yueqi Xie, Yining Hua, Jaeboum Kim
📚 Others
StyleTerrain: A novel disentangled generative model for controllable high-quality procedural terrain generation, Computers & Graphics, Volume 116, Pages 373-382
You-Liang Huang, Xue-Feng Yuan
- It introduces disentangled representation learning into Generative Adversarial Network (GAN)-based terrain modeling methods.
- Disentangling latent space to achieve controllable DEM generation with diverse landscape features.
💁 Professional Services
- AAAI’26, AAAI’26 (AIA), Program Committee
- ICLR’25, Reviewer
- Eurographics’24, Reviewer
🎖 Honors and Awards
- 2023.05 Dean’s List and First Price Studentship, Guangzhou University.
- 2022.11 Dean’s List and First Price Studentship, Guangzhou University.
- 2021.10 Dean’s List and First Price Studentship, Guangzhou University.
- 2021.08 The third price in Computer System Development Capability Competition.
- 2020.11 Dean’s List and First Price Studentship, Guangzhou University.
📖 Educations
- 2025.09 - Present, Ph.D. student in Computer Engineering, Boston University.
- 2023.09 - 2025.07, MPhil. in Data Science and Analytics, CGA: 3.66(4.3), Hong Kong University of Science and Technology.
- 2019.09 - 2023.06, B.Eng. in Network Engineering, GPA: 3.87(4.0), Rank: 2nd(163), Guangzhou University.
💻 Internships
- 2023.01 - 2023.10, Research Assistant, DeepSE Lab, The Hong Kong University of Science and Technology, China.
- 2021.11 - 2023.06, Research Assistant, Institute of System Rheology, Guangzhou University, China.