I am currently a fourth-year undergraduate student at Harbin Institute of Technology, Shenzhen(哈尔滨工业大学(深圳)) in Computer Science and Technology.

My research interest includes data mining, recommendation system, computer vision, and knowledge distillation(Graduation Project).

I have been involved in several research experiences, including next-poi recommendation in data mining, advised by Shanshan Feng(冯山山); hyperspectral anomaly detection in computer version, advised by Yongyong Chen(陈勇勇) and knowledge distillation in model compression, advised by Miao Zhang(张淼).

If you are seeking any form of academic cooperation, please feel free to email me at sisuolv@stu.hit.edu.cn.

🔥 News

  • 2023.07: I join the HK PhD Fellowship Summer Workshop 2023 Faculty of Engineering, The Chinese University of Hong Kong.
  • 2023.06: We have completed the paper on hyperspectral detection and submitted it to IEEE Geoscience and Remote Sensing Letters.
  • 2022.06: 🎉 I have become the Kaggle Competitions Master.

📝 Publications

  • IEEE GRSL 2023 Hyperspectral Anomaly Detection by Multimodal Low-Rank Tensor Representation(under review), Zhibin Huang*, Sisuo Lyu*, and Yongyong Chen(*equal contribution)

💻 Research Experience

Hyperspectral Anomaly Detection

2023.01 - 2023.06

Supervisor: Prof. Yongyong Chen(陈勇勇)

  • Introduced a novel method for Hyperspectral Anomaly Detection using Multimodal Low-Rank Tensor Representation (MLTR), and improved the accuracy and generalization capabilities of HAD by employing a low-rank representation of multi-modal tensors.
  • Outperformed previous methods on ten datasets and achieved a higher AUC, including the SanDiego dataset. Reduced the running time by approximately 20% compared to TLRSR.
  • The paper is submitted to IEEE Geoscience and Remote Sensing Letters.

Next-POI Recommendation

2022.09 - 2023.04

Supervisor: Prof. Shanshan Feng(冯山山)

  • Thoroughly reviewed all the papers, and successfully replicated the code from groundbreaking studies on Next-POI, published in 2021 and 2022. Gaining a basic understanding of the Next-POI field.
  • Actively contributed to research group meetings, presenting relevant articles and sharing my insights, fostering a collaborative learning environment. Engaged in constructive discussions within the research group regarding potential enhancements to these models.

📈 Academic Competitions

CVPR 2022 Workshop
sym

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
sym

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
sym

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.

🎖 Honors and Awards

  • 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(expected), B.Eng. in Computer Science and Technology, Harbin Institute of Technology, Shenzhen

📮 Contact

  • 📧 Email: [sisuolv@stu.hit.edu.cn] or [sisuolv@outlook.com]
  • 💬 Wechat: sisuolv
  • 📍 Address: Harbin Institute of Technology, Shenzhen, Nanshan, Shenzhen, China 518055