Qimai Li

Joined

September 2018

Names

Qimai Li (Preferred)

Emails

****@comp.polyu.edu.hk (Confirmed)

****@qq.com (Confirmed)

****@chaocanshu.ai (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

Parametrix.AI (chaocanshu.ai)

2022 – 2024

PhD student

The Hong Kong Polytechnic University, The Hong Kong Polytechnic University (comp.polyu.edu.hk)

2017 – 2022

Undergrad student

Zhejiang University (zju.edu.cn)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Xiao-Ming WU

2017 – 2022

Expertise

reinforcement learning

2022 – Present

semi-supervised learning

2016 – Present

graph signal processing

2016 – Present

Publications

Adaptive Graph Convolution Methods for Attributed Graph Clustering
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang
- Published: 01 Jan 2023, Last Modified: 15 Feb 2024
- IEEE Trans. Knowl. Data Eng. 2023
- Readers: Everyone
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning
Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
- 2023 (modified: 17 Apr 2023)
- CoRR 2023
- Readers: Everyone
Simple yet Effective Gradient-Free Graph Convolutional Networks
Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- CoRR 2023
- Readers: Everyone
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning
Joseph Suárez, Phillip Isola, Kyoung Whan Choe, David Bloomin, Hao Xiang Li, Nikhil Pinnaparaju, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Louis Castricato, Kirsty You, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
- Published: 01 Jan 2023, Last Modified: 16 Nov 2023
- CoRR 2023
- Readers: Everyone
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
- Published: 01 Jan 2023, Last Modified: 01 Feb 2024
- IJCAI 2023
- Readers: Everyone
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
- Published: 01 Jan 2023, Last Modified: 01 Feb 2024
- CoRR 2023
- Readers: Everyone
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
- Published: 01 Jan 2023, Last Modified: 15 Feb 2024
- ICLR 2023
- Readers: Everyone
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li
- Published: 01 Jan 2023, Last Modified: 15 Feb 2024
- CoRR 2023
- Readers: Everyone
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning
Guangyuan SHI, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
- 2022 (modified: 15 Nov 2022)
- Pattern Recognit. 2022
- Readers: Everyone

View all 20 publications

Co-Authors

View all 61 co-authors