Tianze Luo

Nanyang Technological University, Singapore.
Contact: tianze001@e.ntu.edu.sg.

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Ph.D Student, Computer Science

Nanyang Technological University, Singapore

I am a fourth year PhD student and luckily advised by the brilliant and kind researcher Prof. Sinno Jialin Pan. I am passionate about deep learning research in the following topics:

(1) Graph Representation Learning: Design graph representation learning methods and architectures for graph classification, edge prediction, generations, etc.

(2) Foundation Models: Stable Diffusion, GPT, they are seemingly promising to put AI with real intelligence into pratical use. I am also exploring foundation models for graph-structural data.

News

Jan 26, 2024 One paper is accepted by the ACM Transactions on Information Systems (ACM TOIS)!
Jan 23, 2024 One paper is accepted by the WebConf 2024 (WWW24)!
Jan 16, 2024 One paper is accepted by International Conference on Learning Representations (ICLR)!
Dec 8, 2023 The paper "Fast Graph Generation via Spectral Diffusion" is accepted by IEEE TPAMI (impact factor: 23.6)! :sparkles:

Selected publications

  1. Collaborative Sequential Recommendations via Multi-view GNN-Transformers
    Tianze Luo,  Yong Liu, and Sinno Jialin Pan
    Accepted by ACM Transactions on Information Systems (ACM TOIS) , 2024
  1. Graph Principal Flow Network for Conditional Graph Generation
    Zhanfeng Mo*, Tianze Luo*, and Sinno Jialin Pan
    ACM Web Conference (WWW) , 2024
  1. Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
    Tianze Luo, Zhanfeng Mo, and Sinno Jialin Pan
    International Conference on Learning Representations (ICLR) , 2024
  1. Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
    Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty
    arXiv preprint , 2023
  1. Fast Graph Generation via Spectral Diffusion
    Tianze Luo,  Zhanfeng Mo, and Sinno Jialin Pan
    IEEE Transactions on Pattern Analysis and Machine Intelligence , 2023
    (Impact factor: 23.6)
  1. Conditional Graph Generation with Graph Principal Flow Network
    Tianze Luo, Zhanfeng Mo, and Sinno Jialin Pan
    ICML 2023 Workshop on Structured Probabilistic Inference & Generative Modeling , 2023
  1. Panda LLM: Training Data and Evaluation for Open-Sourced Chinese Instruction-Following Large Language Models
    Fangkai Jiao*, Bosheng Ding* and Tianze Luo* and Zhanfeng Mo*
    arXiv preprint , 2023
  1. Domain confused contrastive learning for unsupervised domain adaptation
    Quanyu Long, Tianze Luo, Wenya Wang, and Sinno Jialin Pan
    2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) , 2022
  1. Domain-Augmented Domain Adaptation
    Qiuhao Zeng*, Tianze Luo* and Boyu Wang
    arXiv preprint , 2022
  1. Real-Time Hierarchical Map Segmentation for Coordinating Multirobot Exploration
    Tianze Luo, Zichen Chen, Budhitama Subagdja, and Ah-Hwee Tan
    IEEE Access, 11, pp.15680-15692. , 2022
  1. Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions
    Tianbo Li*, Tianze Luo*, Yiping Ke, and Sinno Jialin Pan
    Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021
  1. Re-ranking with constraints on diversified exposures for homepage recommender system
    Qi Hao, Tianze Luo, and Guangda Huzhang
    arXiv preprint, 2021
  1. Multi-agent collaborative exploration through graph-based deep reinforcement learning
    Tianze Luo, Budhitama Subagdja, Di Wang, and Ah-Hwee Tan
    Proceedings of the 2019 IEEE International Conference on Agents, 2019
    Won the Best Paper Award.