About me

I'm a PhD student at the Hong Kong University of Science and Technology (Guang Zhou). My research topics include 3D motion generation, representation learning, and large language models.

I received my Bachelor's and Master's Degrees from the University of Science and Technology of China (USTC), Computer Science and Technology Department .

My Research Interests

  • Artificial Intelligence

    Aims at reacting to real-world feedbacks and learning the optimal strategy.

  • Representation Learning

    Aims at learning the low-dimensional vector representation of complex real-world data.

  • 3D Motion Generation

    Generation 3D motions based on the audio or text signals.

  • Recommendation System

    It aims to recommend items to users that they may click.

Code

Daniel lewis
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Daniel lewis

Richard was hired to create a corporate identity. We were very pleased with the work done. She has a lot of experience and is very concerned about the needs of client. Lorem ipsum dolor sit amet, ullamcous cididt consectetur adipiscing elit, seds do et eiusmod tempor incididunt ut laborels dolore magnarels alia.

Resume

Education

  1. The Hong Kong University of Science and Technology (Guang Zhou)

    2023 — now

    Pursuing PhD's Degree

  2. University of Science and Technology of China

    2016 — 2023

    Received Bachelor's and Master's Degrees of Computer Science and Technology

Project Experience

  1. AI Generated Digital Teacher and Responsive Course-Content Answering Teacher

    2024 — now

    Teaching Assistant and Developer

  2. Application of Deep Graph Model in Social Marketing, AIR Scholar Project, Alibaba Inc.

    2021 — 2022

    Scholar Internship at Intelligent Marketing Group in Alibaba Inc.

  3. An Accurate Tumor Segmentation and Labeling Algorithm for Pathological Images and its Parallel Software

    2018 — 2019

    Team Leader

My skills

  • Pytorch
    90%
  • Tensorflow
    70%
  • Python
    85%
  • C/C++
    60%

Publication

  • Z. Yin Y. Wang, T. Papatheodorou and P. Hui, "Text2VRScene: Exploring the Framework of Automated Text-driven Generation System for VR Experience", in 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR), Orlando, FL, USA, 2024, pp. 701-711, doi: 10.1109/VR58804.2024.00090.

    Conference Paper


  • Y. Zhu, Z. Yin, G. Tyson, E. Haq, L. Lee, and P. Hui. 2024. APT-Pipe: A Prompt-Tuning Tool for Social Data Annotation using ChatGPT. In Proceedings of the ACM Web Conference 2024 (WWW '24). Association for Computing Machinery, New York, NY, USA, 245–255. https://doi.org/10.1145/3589334.3645642

    Conference Paper


  • Z. Yin, K. Han, P. Wang and H. Hu, "Multi Global Information Assisted Streaming Session-Based Recommendation System," in IEEE Transactions on Knowledge and Data Engineering, 2022,doi: 10.1109/TKDE.2022.3199373 (Accepted as Regular Paper) [Paper]

    Journal Paper


  • Z. Yin, K. Han, P. Wang and X. Zhu, "H3GNN: Hybrid Hierarchical HyperGraph Neural Network for Personalized Session-based Recommendation", in ACM Transactions on Information Systems, 2022.

    Journal Paper


  • Z. Yin, K. Han, H. Hu, Y. Zhu, L. Lee, P. Hui, "Global Session Neighbors Enhanced Session Ba sed Recommendation via Supervised Contrastive Learning”, in SIGIR 2022 (Under Review)

    Conference Paper


  • P. Zhou, T. Xu, Z. Yin, L. Dong, E. Chen, G. Lv, C. Li., "Character-Oriented Video Summarization With Visual and Textual Cues," in IEEE Transactions on Multimedia, vol. 22, no. 10, pp. 2684-2697, Oct. 2020, doi: 10.1109/TMM.2019.2960594 [Paper]

    Journal Paper


  • K. Han, S. Cui, T. Zhu, E. Zhang, B. Wu, Z. Yin, T. Xu, S. Tang, and H. Huang. 2021. "Approximation Algorithms for Submodular Data Summarization with a Knapsack Constraint". Proc. ACM Meas. Anal. Comput. Syst. 5, 1, Article 05 (March 2021) [Paper]

    Conference Paper


  • H. Hu, K. Han, and Z. Yin. "Bilinear Multi-Head Attention Graph Neural Network for Traffic Prediction." ICAART (2). 2022. [Paper]

    Conference Paper


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