Tianze Luo

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

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I earned my PhD from Nanyang Technological University, where I had the privilege of being advised by the brilliant and kind Prof. Sinno Jialin Pan. I am now working in ByteDance, Singapore.

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

Hiring:sparkles: I am looking for research interns to collaborate on the development of Large Multimodal Models (LMMs) for real-world industry scenarios at ByteDance, Singapore. Feel free to contact me if you're interested in this opportunity.
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. From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding
    Heqing Zou*, Tianze Luo*, Guiyang Xie, Victor (Xiao Jie)Zhang, Fengmao Lv, Guangcong Wang, Juanyang Chen, Zhuochen Wang, Hansheng Zhang, Huaijian Zhang
    arXiv preprint , 2024
  1. Progressive multimodal pivot learning: towards semantic discordance understanding as humans
    Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv
    In ACM International Conference on Information and Knowledge Management (CIKM-24) , 2024
  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
    In Findings of the 62th Annual Meeting of the Association for Computational Linguistics (ACL-24) , 2024
  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.