Invited Talks

I am happy to give a talk if you are interested in my work. 😊

2022

1. Model Degradation Hinders Deep Graph Neural Networks.
   KDD’22, 2022. 08
   
2. Graph Attention Multi-Layer Perceptron.
   KDD’22, 2022. 08
   
3. NAFS: A Simple yet Tough-to-beat Baseline for Graph Representation Learning.
   AI Time [News]
   ICML’22, Virtual, 2022. 07
   Jiqizhixin, Virtual, 2022. 07 [News][Slides]
   
4. Deep and Flexible Graph Neural Architecture Search.
   ICML’22, Virtual, 2022. 07
   Jiqizhixin, Virtual, 2022. 07
   
5. Towards Large Scale Graph Learning: Data, Model and System.《大规模图学习：数据、模型与系统》
   THU, Virtual, 2023.02
   PKU, Virtual, 2023.02
   SUSTech, 2023.01
   Zhejiang University, 2022. 08 (In Preparing)
   HKUST (Guang Zhou), Virtual, 2022.04 [News]
   Stanford, Virtual, 2021.11
   Mila, Virtual, 2021.9
   
6. Towards Automated Graph Learning. 《自动化图机器学习》 [Doc]
   NUDT, Virtual, 2022. 07
   HUST, 2022. 08
   Zhejiang University, 2022. 08
   
7. Information gain propagation a new way to graph active learning with soft labels. 《软标签场景下的图主动学习》
   AI Time, Virtual, 2022. 06 [News]
   ICLR’22, Virtual, 2022. 04
   
8. Towards Data-Centric ML.《数据驱动的机器学习》
   Apple research, 2022. 06
   
9. valedictorian Speech.《北京大学计算机系2022级毕业生代表致辞》
   CS of PKU, 2022. 06 [News]
   
10. PaSca: a graph neural architecture search system under the scalable paradigm. 《可扩展性的图神经结构搜索系统》
    DGL Team, Amazon, Virtual, 2022.07
    CSU, Virtual, 2022. 07
    CCF, Virtual, 2022.06 [News] [Slides]
    DataFun, Virtual, 2022.06 [Slides]
    MLNLP, Virtual, 2022.06 [News][Slides][Video]
    InfoQ, Tencent Cloud, Virtual, 2022.06 [News]
    WWW’22, Virtual, 2022.04 [Slides]
    Data Platform, Tencent, Virtual, 2022.05
    
11. Towards Large-scale Graph Machine Learning. 《大规模图机器学习》 [Doc]
    HKUST, Virtual, 2022. 08 (In Preparing)
    LOGs, Virtual, 2022. 07 [Video]
    

2021

1. How to Do Research? 《浅谈科研》
   Apple Research, Virtual, 2021.12
   PKU, Virtual, 2021.12 [News-1, News-2] [Slides]
   

2. The Scalability of Large-scale Graph Machine Learning.《大规模图机器学习的可扩展性》
   Tencent Big Data, Virtual, 2022.04
   NeurIPS, Virtual, 2021.12
   4Paradigm, Virtual, 2021.12
   AI Drive, 2021.12 [Video] [News] [Slides]
   
3. RIM: Reliable Influence-based Active Learning on Graphs.
   NeurIPS, Virtual, 2021.12
   NeurIPS MeetUp China, 2021.12 [News] [Slides]
   

4. A survey of GNN system.《GNN系统调研》
   Tencent, Virtual, 2021.12 [Slides]
   

5. Graph Attention Multi-Layer Perceptron.《图注意力多层感知器》
   DataFun, Virtual, 2021.10 [News] [Slides]