I am currently a first-year MPhil student at The Hong Kong University of Science and Technology (Guangzhou) in Data Science and Analytics, supervised by Prof. Yuxuan Liang and Prof. Hui Xiong.

My research interests include data mining, recommendation systems, and computer vision.

I hold a B.Eng degree in Computer Science and Technology from Harbin Institute of Technology (Shenzhen), advised by Prof. Miao Zhang. Fortunately, I have also received guidance from Prof. Shanshan Feng and Prof. Yongyong Chen.

If you are interested in any form of academic collaboration, please feel free to contact me at sisuolyu@outlook.com.

📝 Publications

arxiv

OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
[Paper]

• This work proposes OccamVTS, a novel knowledge distillation framework that extracts only the essential 1% of predictive information from large vision models (LVMs) to address the severe parameter redundancy and semantic misalignment challenges in time series forecasting by employing pre-trained LVMs as privileged teachers to guide lightweight student networks through pyramid-style feature alignment and selective distillation, effectively filtering out irrelevant high-level semantic noise while preserving crucial low-level temporal patterns.

ICASSP 2025

Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation (Oral)
Sisuo Lyu, Xiuze Zhou, Xuming Hu
[Paper]  [Code]  [PPT]  [Poster]

• This work proposes MHCR, a novel framework that leverages multi-view hypergraph structures and contrastive learning to address the challenges of over-smoothing and cold-start problems in micro-video recommendation systems by effectively utilizing multimodal features and self-supervised learning signals.

• arxiv Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo LYU, Yuxuan Liang, “Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction”   [Paper]
• ACM TOIS Xiuze Zhou, Jiang Jian, Hong Chen, Junzhuo Li, Sisuo LYU, Zhang Wei, Yuanguo Lin, Xuming Hu, “A Multi-modal Adapter for Explainable Recommendations: Bridging LLMs and Collaborative Filtering” (under review)
• IEEE TITS Wei Dai, Shengen Wu, Wei Wu, Zhenhao Wang, Sisuo LYU, Haicheng Liao, Runwei Guan, Weiping Ding, Limin Yu, Yutao Yue, “Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey” (under review)
• NeurIPS Workshop 2022 Bizhe Bai, Jie Tian, Tao Wang, Sicong Luo, Sisuo LYU, “YUSEG: Yolo and Unet is all you need for cell instance segmentation”  [Paper]  [Code]
• Chinese Computer Software Copyright Sisuo LYU, “Extremely lightweight intelligent voice dialogue system”

📈 Academic Competitions

CVPR 2022 Workshop

Image Matching Challenge 2022
Gold medal | 8/642
[Code]

• This work fused matching results from four models (LoFTR, SuperGlue, DKM, and QuadTreeAttention), and employed Thread PoolExecutor for efficient, multi-threaded inference on key points and F-matrix calculation within the competition’s time constraints.

CVPR 2022 Workshop

Sorghum -100 Cultivar Identification - FGVC 9
3/252
[Code]
[Plog]

• This work utilized histogram equalization to improve image quality while employing IBN-Net integrates instance normalization (IN) and batch normalization (BN), bolstering model learning capacity and generalization to address competition challenges. Implementing ArcFace enhances the model’s discriminative ability for superior performance.

CCF BDCI 2021

System Certification Risk Prediction
National First Prize | 1/1143
[Code]

• This work leverages LightGBM to enhance prediction performance, extracting crucial time features and improving the model through statistical crossover and categorical feature word embeddings. Employed hierarchical multi-fold cross-validation for superior generalization and applied normalization and fusion methods post-ranking to boost complementary capabilities.

• Huawei Cloud Cup 2022 National Second Prize (5th place), “2022 Artificial Intelligence Application Innovation Competition”   [Code]
• China Collegiate Computing Contest 2022 National Third Prize, Rank 12/3,204,” WeChat Big Data Challenge”   [Code]
• NeurIPS 2022 Challenge Honorable Mention Award (7th place), “Weakly Supervised Cell Segmentation in Multi-modality High-Resolution Microscopy Images”   [Code]
• Kaggle 2022 Silver Medal, “Feedback Prize - Evaluating Student Writing”
• CCF BDCI 2021 National Third Prize (5th place), “Script Character Emotion Recognition”   [Code]
• Kaggle 2021 Silver Medal, “Bristol-Myers Squibb-Molecular Translation”
• APMCM 2021 First Prize, “The 11th APMCM Asia-Pacific Student Mathematical Modeling Competition”   [Code&Paper]
• CMC 2021 Third Prize, “The Chinese Mathematics Competitions”

🎖 Honors and Awards

• 2024.05 “Outstanding Graduate”, Harbin Institute of Technology

• 2024.03 “Huawei AI Education Base Scholarship”, Huawei

• 2023.11 “Outstanding Student Honor”, Harbin Institute of Technology

• 2023.10 “Academic Scholarship”, Harbin Institute of Technology

• 2023.04 “Excellent League Member Honor”, Harbin Institute of Technology

• 2023.03 “Science and Innovation Star Scholarship”, Sailvan Times

• 2022.11 “Outstanding Student Honor”, Harbin Institute of Technology

• 2022.11 “Academic Scholarship”, Harbin Institute of Technology

• 2021.12 “Outstanding Student Honor”, Harbin Institute of Technology

• 2021.11 “Academic Scholarship”, Harbin Institute of Technology

📖 Educations

• 2020.09 - 2024.06, B.Eng. in Computer Science and Technology, Harbin Institute of Technology (Shenzhen)
• 2024.09 - 2026.07(expected), MPhil in Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou)

📮 Contact

• 📧 Email: sisuolyu@outlook.com
• 💬 Wechat: sisuolyu