Qimai Li

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 27

Top Topics

Gaussian Mixture

Diffusion Models

Supervised Learning

Top Venues

Publications

Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose S. Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS (2023)
Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CoRR (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR (2023)
Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning. CoRR (2023)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang
Adaptive Graph Convolution Methods for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
Simple yet Effective Gradient-Free Graph Convolutional Networks. CoRR (2023)
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
Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR (2023)
Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI (2023)
Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning. ICLR (2023)
Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW (2022)
Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR (2022)
Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. 128 (2022)
Yuhao Jiang, Kunjie Zhang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
Multi-Agent Path Finding via Tree LSTM. CoRR (2022)
Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu
RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. 176 (2021)
Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. KDD (2021)
Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-Lai Chung
A Closer Look at the Training Strategy for Modern Meta-Learning. NeurIPS (2020)
Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL (2020)
Qimai Li, Xiao-Ming Wu, Zhichao Guan
Generalized Label Propagation Methods for Semi-Supervised Learning. CoRR (2019)
Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR (2019)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
Attributed Graph Clustering via Adaptive Graph Convolution. IJCAI (2019)
Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan
Label Efficient Semi-Supervised Learning via Graph Filtering. CVPR (2019)
Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu
Attributed Graph Learning with 2-D Graph Convolution. CoRR (2019)
Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam
Reconstructing Capsule Networks for Zero-shot Intent Classification. EMNLP/IJCNLP (1) (2019)
Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
Attributed Graph Clustering via Adaptive Graph Convolution. CoRR (2019)
Qimai Li, Zhichao Han, Xiao-Ming Wu
Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. AAAI (2018)
Qimai Li, Zhichao Han, Xiao-Ming Wu
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning. CoRR (2018)
Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li
Large Margin Few-Shot Learning. CoRR (2018)