Dong Li - RankMe

26 papers A* 6A 2Misc 1Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Class-Domain Incremental Learning on Graphs via Disentangled Knowledge Distillation. WWW Qin Tian, Chen Zhao, Xintao Wu, Dong Li, Minglai Shao, Xujiang Zhao, Wenjun Wang
2026	A*	`conf`	LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs. AAAI Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao
2026	J	`jnl`	LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs. CoRR Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao
2026	A*	`conf`	MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. AAAI Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026	J	`jnl`	MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery. CoRR Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026	A*	`conf`	Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. AAAI Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2025	J	`jnl`	A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks. CoRR Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Ajit Johnson Nirmal, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao
2025	A*	`conf`	FADE: Towards Fairness-aware Data Generation for Domain Generalization via Classifier-Guided Score-based Diffusion Models. IJCAI Yujie Lin, Dong Li, Minglai Shao, Guihong Wan, Chen Zhao
2025	J	`jnl`	Face4FairShifts: A Large Image Benchmark for Fairness and Robust Learning across Visual Domains. CoRR Yumeng Lin, Dong Li, Xintao Wu, Minglai Shao, Xujiang Zhao, Zhong Chen, Chen Zhao
2025	Misc	`conf`	GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. ICASSP Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian
2025	—	`conf`	MLDGG: Meta-Learning for Domain Generalization on Graphs. KDD (1) Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2025	J	`jnl`	Multi-Modal Foundation Models for Computational Pathology: A Survey. CoRR Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Christine G. Lian, Peter K. Sorger, Yevgeniy R. Semenov, Chen Zhao
2025	J	`jnl`	Multi-Modal Foundation Models for Computational Pathology: A Survey. Trans. Mach. Learn. Res. Dong Li, Guihong Wan, Xintao Wu, Xinyu Wu, Xiaohui Chen, Yi He, Zhong Chen, Peter K. Sorger, Chen Zhao
2025	J	`jnl`	Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models. CoRR Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2025	J	`jnl`	SolverLLM: Leveraging Test-Time Scaling for Optimization Problem via LLM-Guided Search. CoRR Dong Li, Xujiang Zhao, Linlin Yu, Yanchi Liu, Wei Cheng, Zhengzhang Chen, Zhong Chen, Feng Chen, Chen Zhao, Haifeng Chen
2025	—	`conf`	Uncertainty Propagation on LLM Agent. ACL (1) Qiwei Zhao, Dong Li, Yanchi Liu, Wei Cheng, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Huaxiu Yao, Chen Zhao, Haifeng Chen, Xujiang Zhao
2024	J	`jnl`	Fair Data Generation via Score-based Diffusion Model. CoRR Yujie Lin, Dong Li, Chen Zhao, Minglai Shao
2024	J	`jnl`	GDDA: Semantic OOD Detection on Graphs under Covariate Shift via Score-Based Diffusion Models. CoRR Zhixia He, Chen Zhao, Minglai Shao, Yujie Lin, Dong Li, Qin Tian
2024	J	`jnl`	Graphs Generalization under Distribution Shifts. CoRR Qin Tian, Wenjun Wang, Chen Zhao, Minglai Shao, Wang Zhang, Dong Li
2024	A	`conf`	Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. CIKM Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024	J	`jnl`	Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. CoRR Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang
2024	J	`jnl`	MLDGG: Meta-Learning for Domain Generalization on Graphs. CoRR Qin Tian, Chen Zhao, Minglai Shao, Wenjun Wang, Yujie Lin, Dong Li
2024	A*	`conf`	Supervised Algorithmic Fairness in Distribution Shifts: A Survey. IJCAI Minglai Shao, Dong Li, Chen Zhao, Xintao Wu, Yujie Lin, Qin Tian
2024	J	`jnl`	Supervised Algorithmic Fairness in Distribution Shifts: A Survey. CoRR Yujie Lin, Dong Li, Chen Zhao, Xintao Wu, Qin Tian, Minglai Shao
2023	A	`conf`	Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CIKM Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao
2023	J	`jnl`	Contrastive Representation Learning Based on Multiple Node-centered Subgraphs. CoRR Dong Li, Wenjun Wang, Minglai Shao, Chen Zhao