Chen Zhao - RankMe

85 papers A* 24A 5B 2Misc 3Journal 42Unranked 9

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
2026	A*	`conf`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. AAAI Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2025	—	`conf`	4th Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD (2) Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Hua Wei, Haifeng Chen
2025	J	`jnl`	A Survey of AI for Materials Science: Foundation Models, LLM Agents, Datasets, and Tools. CoRR Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
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`	Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. SDM Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen
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	B	`conf`	Fair In-Context Learning via Latent Concept Variables. IEEE Big Data Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
2025	A*	`conf`	Fairness-Aware Active Online Learning with Changing Environments. ICDE Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Earl Grant, Feng Chen
2025	B	`conf`	Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction. IEEE Big Data An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
2025	J	`jnl`	Fine-Tuning Vision-Language Models for Multimodal Polymer Property Prediction. CoRR An Vuong, Minh-Hao Van, Prateek Verma, Chen Zhao, Xintao Wu
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	Misc	`conf`	Hypergraph-Based Dynamic Graph Node Classification. ICASSP Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin
2025	—	`conf`	Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation. ACL (Findings) Sadaf Md. Halim, Chen Zhao, Xintao Wu, Latifur Khan, Christan Grant, Fariha Ishrat Rahman, Feng Chen
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	A*	`conf`	Multi-View Unsupervised Column Subset Selection via Combinatorial Search (Student Abstract). AAAI Guihong Wan, Ninghui Hao, Crystal Maung, Haim Schweitzer, Chen Zhao, Kun-Hsing Yu, Yevgeniy R. Semenov
2025	J	`jnl`	Out-of-Distribution Detection in Heterogeneous Graphs via Energy Propagation. CoRR Tao Yin, Chen Zhao, Xiaoyan Liu, Minglai Shao
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`	Out-of-distribution detection in heterogeneous graphs via energy propagation. Knowl. Based Syst. Tao Yin, Chen Zhao, Xiaoyan Liu, Minglai Shao
2025	J	`jnl`	SkillGen: Learning Domain Skills for In-Context Sequential Decision Making. CoRR Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
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`	The 4th Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD (2) Chen Zhao, Feng Chen, Xintao Wu, 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	A*	`conf`	3rd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD Chen Zhao, Feng Chen, Xintao Wu, Jundong Li, Haifeng Chen
2024	A*	`conf`	3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making (UDM). KDD Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Wei Hua, Haifeng Chen
2024	A*	`conf`	Algorithmic Fairness Generalization under Covariate and Dependence Shifts Simultaneously. KDD Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
2024	A	`conf`	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. ECAI Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
2024	J	`jnl`	Causal Diffusion Autoencoders: Toward Counterfactual Generation via Diffusion Probabilistic Models. CoRR Aneesh Komanduri, Chen Zhao, Feng Chen, Xintao Wu
2024	J	`jnl`	Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2024	J	`jnl`	Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness. ACM Trans. Knowl. Discov. Data Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2024	J	`jnl`	FEED: Fairness-Enhanced Meta-Learning for Domain Generalization. CoRR Kai Jiang, Chen Zhao, Haoliang Wang, Feng Chen
2024	J	`jnl`	Fair Data Generation via Score-based Diffusion Model. CoRR Yujie Lin, Dong Li, Chen Zhao, Minglai Shao
2024	J	`jnl`	Fair In-Context Learning via Latent Concept Variables. CoRR Karuna Bhaila, Minh-Hao Van, Kennedy Edemacu, Chen Zhao, Feng Chen, Xintao Wu
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	J	`jnl`	Hypergraph-Based Dynamic Graph Node Classification. CoRR Xiaoxu Ma, Chen Zhao, Minglai Shao, Yujie Lin
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`	MADOD: Generalizing OOD Detection to Unseen Domains via G-Invariance Meta-Learning. CoRR Haoliang Wang, Chen Zhao, Feng Chen
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
2024	A*	`conf`	Towards Counterfactual Fairness-aware Domain Generalization in Changing Environments. IJCAI Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2023	A*	`conf`	2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou
2023	A*	`conf`	2nd Workshop on Uncertainty Reasoning and Quantification in Decision Making. KDD Xujiang Zhao, Chen Zhao, Feng Chen, Jin-Hee Cho, Haifeng Chen
2023	A	`conf`	Adaptation Speed Analysis for Fairness-aware Causal Models. CIKM Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023	J	`jnl`	Adaptation Speed Analysis for Fairness-aware Causal Models. CoRR Yujie Lin, Chen Zhao, Minglai Shao, Xujiang Zhao, Haifeng Chen
2023	J	`jnl`	An Automated Vulnerability Detection Framework for Smart Contracts. CoRR Feng Mi, Chen Zhao, Zhuoyi Wang, Sadaf Md. Halim, Xiaodi Li, Zhouxiang Wu, Latifur Khan, Bhavani Thuraisingham
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
2023	J	`jnl`	Fairness-Aware Domain Generalization under Covariate and Dependence Shifts. CoRR Chen Zhao, Kai Jiang, Xintao Wu, Haoliang Wang, Latifur Khan, Christan Grant, Feng Chen
2023	Misc	`conf`	Multi-Label Temporal Evidential Neural Networks for Early Event Detection. ICASSP Xujiang Zhao, Xuchao Zhang, Chen Zhao, Jin-Hee Cho, Lance M. Kaplan, Dong Hyun Jeong, Audun Jøsang, Haifeng Chen, Feng Chen
2023	A*	`conf`	Open Set Action Recognition via Multi-Label Evidential Learning. CVPR Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk
2023	J	`jnl`	Open Set Action Recognition via Multi-Label Evidential Learning. CoRR Chen Zhao, Dawei Du, Anthony Hoogs, Christopher Funk
2023	J	`jnl`	Pursuing Counterfactual Fairness via Sequential Autoencoder Across Domains. CoRR Yujie Lin, Chen Zhao, Minglai Shao, Baoluo Meng, Xujiang Zhao, Haifeng Chen
2023	J	`jnl`	Towards Effective Semantic OOD Detection in Unseen Domains: A Domain Generalization Perspective. CoRR Haoliang Wang, Chen Zhao, Yunhui Guo, Kai Jiang, Feng Chen
2023	A*	`conf`	Towards Fair Disentangled Online Learning for Changing Environments. KDD Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
2023	J	`jnl`	Towards Fair Disentangled Online Learning for Changing Environments. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Christan Grant, Feng Chen
2022	A*	`conf`	1st ACM SIGKDD Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI-KDD22). KDD Chen Zhao, Feng Chen, Xintao Wu, Christopher Funk, Anthony Hoogs
2022	A*	`conf`	A Nested Bi-level Optimization Framework for Robust Few Shot Learning. AAAI Krishnateja Killamsetty, Changbin Li, Chen Zhao, Feng Chen, Rishabh K. Iyer
2022	A*	`conf`	Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. KDD Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2022	J	`jnl`	Adaptive Fairness-Aware Online Meta-Learning for Changing Environments. CoRR Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen
2022	—	`conf`	Layer Adaptive Deep Neural Networks for Out-of-Distribution Detection. PAKDD (2) Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
2022	J	`jnl`	Layer Adaptive Deep Neural Networks for Out-of-distribution Detection. CoRR Haoliang Wang, Chen Zhao, Xujiang Zhao, Feng Chen
2021	A*	`conf`	CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining. WWW Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan
2021	A*	`conf`	Fairness-Aware Online Meta-learning. KDD Chen Zhao, Feng Chen, Bhavani Thuraisingham
2021	J	`jnl`	Fairness-Aware Online Meta-learning. CoRR Chen Zhao, Feng Chen, Bhavani Thuraisingham
2021	—	`conf`	VSCL: Automating Vulnerability Detection in Smart Contracts with Deep Learning. IEEE ICBC Feng Mi, Zhuoyi Wang, Chen Zhao, Jinghui Guo, Fawaz Ahmed, Latifur Khan
2020	A*	`conf`	A Primal-Dual Subgradient Approach for Fair Meta Learning. ICDM Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
2020	J	`jnl`	A Primal-Dual Subgradient Approach for Fair Meta Learning. CoRR Chen Zhao, Feng Chen, Zhuoyi Wang, Latifur Khan
2020	J	`jnl`	A Reweighted Meta Learning Framework for Robust Few Shot Learning. CoRR Krishnateja Killamsetty, Changbin Li, Chen Zhao, Rishabh K. Iyer, Feng Chen
2020	—	`conf`	Fair Meta-Learning For Few-Shot Classification. ICKG Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
2020	J	`jnl`	Fair Meta-Learning For Few-Shot Classification. CoRR Chen Zhao, Changbin Li, Jincheng Li, Feng Chen
2020	J	`jnl`	Rank-Based Multi-task Learning for Fair Regression. CoRR Chen Zhao, Feng Chen
2020	—	`conf`	Unfairness Discovery and Prevention For Few-Shot Regression. ICKG Chen Zhao, Feng Chen
2020	J	`jnl`	Unfairness Discovery and Prevention For Few-Shot Regression. CoRR Chen Zhao, Feng Chen
2019	A*	`conf`	Rank-Based Multi-task Learning for Fair Regression. ICDM Chen Zhao, Feng Chen