Qimai Li - RankMe

29 papers A* 10B 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning. CoRR Joseph Suárez, Kyoung Whan Choe, David Bloomin, Jianming Gao, Yunkun Li, Yao Feng, Saidinesh Pola, Kun Zhang, Yonghui Zhu, Nikhil Pinnaparaju, Hao Xiang Li, Nishaanth Kanna, Daniel Scott, Ryan Sullivan, Rose S. Shuman, Lucas de Alcântara, Herbie Bradley, Kirsty You, Bo Wu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Louis Castricato, Xiaolong Zhu, Phillip Isola
2025	B	`conf`	Simple yet Effective Gradient-Free Graph Convolutional Networks. IJCNN Yulin Zhu, Xing Ai, Qimai Li, Xiaoming Wu, Wai-Lun Lo, Kai Zhou
2023	J	`jnl`	Adaptive Graph Convolution Methods for Attributed Graph Clustering. IEEE Trans. Knowl. Data Eng. Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu, Xianchao Zhang
2023	A*	`conf`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. NeurIPS 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
2023	J	`jnl`	Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning. CoRR 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
2023	A*	`conf`	Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning. ICLR Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
2023	J	`jnl`	Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning. CoRR Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
2023	J	`jnl`	Simple yet Effective Gradient-Free Graph Convolutional Networks. CoRR Yulin Zhu, Xing Ai, Qimai Li, Xiao-Ming Wu, Kai Zhou
2023	J	`jnl`	Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model. CoRR Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Qimai Li, Weihan Shen, Xiaolong Zhu, Xiu Li
2022	A*	`conf`	Modeling User Behavior with Graph Convolution for Personalized Product Search. WWW Lu Fan, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
2022	J	`jnl`	Modeling User Behavior with Graph Convolution for Personalized Product Search. CoRR Fan Lu, Qimai Li, Bo Liu, Xiao-Ming Wu, Xiaotong Zhang, Fuyu Lv, Guli Lin, Sen Li, Taiwei Jin, Keping Yang
2022	J	`jnl`	Multi-Agent Path Finding via Tree LSTM. CoRR Yuhao Jiang, Kunjie Zhang, Qimai Li, Jiaxin Chen, Xiaolong Zhu
2022	J	`jnl`	Personalized knowledge-aware recommendation with collaborative and attentive graph convolutional networks. Pattern Recognit. Quanyu Dai, Xiao-Ming Wu, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Dan Wang, Guli Lin, Keping Yang
2021	A*	`conf`	Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs. KDD Qimai Li, Xiaotong Zhang, Han Liu, Quanyu Dai, Xiao-Ming Wu
2021	J	`jnl`	RPC: Representative possible world based consistent clustering algorithm for uncertain data. Comput. Commun. Han Liu, Xiaotong Zhang, Xianchao Zhang, Qimai Li, Xiao-Ming Wu
2020	A*	`conf`	A Closer Look at the Training Strategy for Modern Meta-Learning. NeurIPS Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-Lai Chung
2020	A*	`conf`	Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification. ACL Guangfeng Yan, Lu Fan, Qimai Li, Han Liu, Xiaotong Zhang, Xiao-Ming Wu, Albert Y. S. Lam
2019	A*	`conf`	Attributed Graph Clustering via Adaptive Graph Convolution. IJCAI Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
2019	J	`jnl`	Attributed Graph Clustering via Adaptive Graph Convolution. CoRR Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu
2019	J	`jnl`	Attributed Graph Learning with 2-D Graph Convolution. CoRR Qimai Li, Xiaotong Zhang, Han Liu, Xiao-Ming Wu
2019	J	`jnl`	Clustering Uncertain Data via Representative Possible Worlds with Consistency Learning. CoRR Han Liu, Xianchao Zhang, Xiaotong Zhang, Qimai Li, Xiao-Ming Wu
2019	J	`jnl`	Generalized Label Propagation Methods for Semi-Supervised Learning. CoRR Qimai Li, Xiao-Ming Wu, Zhichao Guan
2019	A*	`conf`	Label Efficient Semi-Supervised Learning via Graph Filtering. CVPR Qimai Li, Xiao-Ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan
2019	—	`conf`	Reconstructing Capsule Networks for Zero-shot Intent Classification. EMNLP/IJCNLP (1) Han Liu, Xiaotong Zhang, Lu Fan, Xuandi Fu, Qimai Li, Xiao-Ming Wu, Albert Y. S. Lam
2018	A*	`conf`	Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning. AAAI Qimai Li, Zhichao Han, Xiao-Ming Wu
2018	J	`jnl`	Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning. CoRR Qimai Li, Zhichao Han, Xiao-Ming Wu
2018	J	`jnl`	Large Margin Few-Shot Learning. CoRR Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, Victor O. K. Li