Na Zou - RankMe

85 papers A* 18A 3Misc 1Journal 57Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Cleansing the Artificial Mind: A Self-Reflective Detoxification Framework for Large Language Models. CoRR Kaituo Zhang, Zhimeng Jiang, Na Zou
2026	J	`jnl`	The LLM Data Auditor: A Metric-oriented Survey on Quality and Trustworthiness in Evaluating Synthetic Data. CoRR Kaituo Zhang, Mingzhi Hu, Hoang Anh Duy Le, Fariha Kabir Torsha, Zhimeng Jiang, Minh Khai Bui, Chia-Yuan Chang, Yu-Neng Chuang, Zhen Xiong, Ying Lin, Guanchu Wang, Na Zou
2025	—	`conf`	CODA: Temporal Domain Generalization via Concept Drift Simulator. KDD (2) Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2025	J	`jnl`	Counterfactual Fairness on Graphs: Augmentations, Hidden Confounders, and Identifiability. Trans. Mach. Learn. Res. Hongyi Ling, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025	J	`jnl`	Discover important donor-recipient risk factors and interactions in heart transplant primary graft dysfunction with machine learning. J. Am. Medical Informatics Assoc. Sirui Ding, Yafen Liang, Chia-Yuan Chang, Cheryl Brown, Xiaoqian Jiang, Xia Ben Hu, Na Zou
2025	J	`jnl`	Fair Machine Learning in Healthcare: A Survey. IEEE Trans. Artif. Intell. Qizhang Feng, Mengnan Du, Na Zou, Xia Ben Hu
2025	J	`jnl`	Fair-RGNN: Mitigating Relational Bias on Knowledge Graphs. ACM Trans. Knowl. Discov. Data Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2025	J	`jnl`	FairAlloc: Learning Fair Organ Allocation Policy for Liver Transplant. J. Heal. Informatics Res. Sirui Ding, Daochen Zha, Kai Zhang, Luyao Chen, Xiaoqian Jiang, Xia Hu, Na Zou
2025	—	`conf`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. ACL (1) Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	J	`jnl`	MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. CoRR Chia-Yuan Chang, Zhimeng Jiang, Vineeth Rakesh, Menghai Pan, Chin-Chia Michael Yeh, Guanchu Wang, Mingzhi Hu, Zhichao Xu, Yan Zheng, Mahashweta Das, Na Zou
2025	A*	`conf`	On Explaining Equivariant Graph Networks via Improved Relevance Propagation. ICML Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji
2025	—	`conf`	Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models. ACL (1) Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou
2025	J	`jnl`	Rethinking the Understanding Ability across LLMs through Mutual Information. CoRR Shaojie Wang, Sirui Ding, Na Zou
2025	J	`jnl`	Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models. Trans. Mach. Learn. Res. Yang Sui, Yu-Neng Chuang, Guanchu Wang, Jiamu Zhang, Tianyi Zhang, Jiayi Yuan, Hongyi Liu, Andrew Wen, Shaochen Zhong, Na Zou, Hanjie Chen, Xia Hu
2024	A*	`conf`	Chasing Fairness in Graphs: A GNN Architecture Perspective. AAAI Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2024	A*	`conf`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. ICLR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2024	A*	`conf`	Gradient Rewiring for Editable Graph Neural Network Training. NeurIPS Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	J	`jnl`	Gradient Rewiring for Editable Graph Neural Network Training. CoRR Zhimeng Jiang, Zirui Liu, Xiaotian Han, Qizhang Feng, Hongye Jin, Qiaoyu Tan, Kaixiong Zhou, Na Zou, Xia Ben Hu
2024	A*	`conf`	IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. KDD Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024	J	`jnl`	IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li
2024	J	`jnl`	Identify and mitigate bias in electronic phenotyping: A comprehensive study from computational perspective. J. Biomed. Informatics Sirui Ding, Shenghan Zhang, Xia Hu, Na Zou
2024	J	`jnl`	Shortcut Learning of Large Language Models in Natural Language Understanding. Commun. ACM Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2024	J	`jnl`	Unifying Fourteen Post-Hoc Attribution Methods With Taylor Interactions. IEEE Trans. Pattern Anal. Mach. Intell. Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
2023	J	`jnl`	Beyond Fairness: Age-Harmless Parkinson's Detection via Voice. CoRR Yicheng Wang, Xiaotian Han, Leisheng Yu, Na Zou
2023	J	`jnl`	CODA: Temporal Domain Generalization via Concept Drift Simulator. CoRR Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou
2023	A*	`conf`	Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach. NeurIPS Zhimeng Stephen Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen, Na Zou, Xia Hu
2023	J	`jnl`	Chasing Fairness in Graphs: A GNN Architecture Perspective. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2023	A*	`conf`	DIVISION: Memory Efficient Training via Dual Activation Precision. ICML Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2023	A*	`conf`	Data-centric AI: Techniques and Future Perspectives. KDD Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu
2023	J	`jnl`	FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. CoRR Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu
2023	A*	`conf`	Fair Graph Distillation. NeurIPS Qizhang Feng, Zhimeng Stephen Jiang, Ruiquan Li, Yicheng Wang, Na Zou, Jiang Bian, Xia Hu
2023	J	`jnl`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. CoRR Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2023	A*	`conf`	Graph Mixup with Soft Alignments. ICML Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023	J	`jnl`	Graph Mixup with Soft Alignments. CoRR Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou
2023	J	`jnl`	In-Processing Modeling Techniques for Machine Learning Fairness: A Survey. ACM Trans. Knowl. Discov. Data Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
2023	A*	`conf`	Learning Fair Graph Representations via Automated Data Augmentations. ICLR Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. CoRR Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	J	`jnl`	Marginal Nodes Matter: Towards Structure Fairness in Graphs. SIGKDD Explor. Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou
2023	—	`conf`	Mitigating Algorithmic Bias with Limited Annotations. ECML/PKDD (2) Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
2023	J	`jnl`	Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant. CoRR Sirui Ding, Qiaoyu Tan, Chia-Yuan Chang, Na Zou, Kai Zhang, Nathan R. Hoot, Xiaoqian Jiang, Xia Hu
2023	J	`jnl`	Multi-task learning with dynamic re-weighting to achieve fairness in healthcare predictive modeling. J. Biomed. Informatics Can Li, Sirui Ding, Na Zou, Xia Hu, Xiaoqian Jiang, Kai Zhang
2023	—	`conf`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. ICHI Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	J	`jnl`	PheME: A deep ensemble framework for improving phenotype prediction from multi-modal data. CoRR Shenghan Zhang, Haoxuan Li, Ruixiang Tang, Sirui Ding, Laila Rasmy, Degui Zhi, Na Zou, Xia Hu
2023	A	`conf`	RELIANT: Fair Knowledge Distillation for Graph Neural Networks. SDM Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023	J	`jnl`	RELIANT: Fair Knowledge Distillation for Graph Neural Networks. CoRR Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li
2023	J	`jnl`	Retiring $Δ$DP: New Distribution-Level Metrics for Demographic Parity. CoRR Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Retiring ΔDP: New Distribution-Level Metrics for Demographic Parity. Trans. Mach. Learn. Res. Xiaotian Han, Zhimeng Jiang, Hongye Jin, Zirui Liu, Na Zou, Qifan Wang, Xia Hu
2023	J	`jnl`	Towards Assumption-free Bias Mitigation. CoRR Chia-Yuan Chang, Yu-Neng Chuang, Kwei-Herng Lai, Xiaotian Han, Xia Hu, Na Zou
2023	J	`jnl`	Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint. CoRR Chia-Yuan Chang, Jiayi Yuan, Sirui Ding, Qiaoyu Tan, Kai Zhang, Xiaoqian Jiang, Xia Hu, Na Zou
2023	J	`jnl`	Understanding and Unifying Fourteen Attribution Methods with Taylor Interactions. CoRR Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Ziwei Yang, Zheyang Li, Quanshi Zhang
2023	J	`jnl`	Weight Perturbation Can Help Fairness under Distribution Shift. CoRR Zhimeng Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Na Zou, Xia Ben Hu
2022	A*	`conf`	AutoVideo: An Automated Video Action Recognition System. IJCAI Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Jiaben Chen, Kwei-Herng Lai, Mohammad Qazim Bhat, Anmoll Kumar Jain, Alfredo Costilla-Reyes, Na Zou, Xia Hu
2022	J	`jnl`	Defense Against Explanation Manipulation. Frontiers Big Data Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2022	J	`jnl`	FMP: Toward Fair Graph Message Passing against Topology Bias. CoRR Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu
2022	J	`jnl`	Fair Machine Learning in Healthcare: A Review. CoRR Qizhang Feng, Mengnan Du, Na Zou, Xia Hu
2022	Misc	`conf`	Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. AMIA Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu
2022	J	`jnl`	Mitigating Algorithmic Bias with Limited Annotations. CoRR Guanchu Wang, Mengnan Du, Ninghao Liu, Na Zou, Xia Ben Hu
2022	J	`jnl`	Mitigating Relational Bias on Knowledge Graphs. CoRR Yu-Neng Chuang, Kwei-Herng Lai, Ruixiang Tang, Mengnan Du, Chia-Yuan Chang, Na Zou, Xia Hu
2022	J	`jnl`	Shortcut Learning of Large Language Models in Natural Language Understanding: A Survey. CoRR Mengnan Du, Fengxiang He, Na Zou, Dacheng Tao, Xia Hu
2022	A	`conf`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CIKM Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. CoRR Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu
2022	J	`jnl`	Towards Memory Efficient Training via Dual Activation Precision. CoRR Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu
2021	A*	`conf`	A Unified Taylor Framework for Revisiting Attribution Methods. AAAI Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2021	J	`jnl`	AutoVideo: An Automated Video Action Recognition System. CoRR Daochen Zha, Zaid Pervaiz Bhat, Yi-Wei Chen, Yicheng Wang, Sirui Ding, Anmoll Kumar Jain, Mohammad Qazim Bhat, Kwei-Herng Lai, Jiaben Chen, Na Zou, Xia Hu
2021	J	`jnl`	Defense Against Explanation Manipulation. CoRR Ruixiang Tang, Ninghao Liu, Fan Yang, Na Zou, Xia Hu
2021	J	`jnl`	Fairness in Deep Learning: A Computational Perspective. IEEE Intell. Syst. Mengnan Du, Fan Yang, Na Zou, Xia Hu
2021	A*	`conf`	Mitigating Gender Bias in Captioning Systems. WWW Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu
2021	J	`jnl`	Modeling Techniques for Machine Learning Fairness: A Survey. CoRR Mingyang Wan, Daochen Zha, Ninghao Liu, Na Zou
2021	A*	`conf`	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. KDD Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2021	J	`jnl`	Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. CoRR Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu
2020	J	`jnl`	A Unified Taylor Framework for Revisiting Attribution Methods. CoRR Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu
2020	A*	`conf`	Multi-Channel Graph Neural Networks. IJCAI Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2020	A*	`conf`	Non-Local U-Nets for Biomedical Image Segmentation. AAAI Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
2020	—	`conf`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. WWW (Companion Volume) Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2020	J	`jnl`	PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. CoRR Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu
2019	J	`jnl`	Fairness in Deep Learning: A Computational Perspective. CoRR Mengnan Du, Fan Yang, Na Zou, Xia Hu
2019	A*	`conf`	Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. ICDM Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji
2019	J	`jnl`	Multi-Channel Graph Convolutional Networks. CoRR Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu
2019	J	`jnl`	PyODDS: An End-to-End Outlier Detection System. CoRR Yuening Li, Daochen Zha, Na Zou, Xia Hu
2019	A	`conf`	SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CIKM Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2019	J	`jnl`	SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. CoRR Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou
2018	J	`jnl`	A Data Adaptive Biological Sequence Representation for Supervised Learning. J. Heal. Informatics Res. Hande Cakin, Berk Görgülü, Mustafa Gökçe Baydogan, Na Zou, Jing Li
2018	J	`jnl`	A General Embedding Framework for Heterogeneous Information Learning in Large-Scale Networks. ACM Trans. Knowl. Discov. Data Xiao Huang, Jundong Li, Na Zou, Xia Hu
2018	J	`jnl`	Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation. CoRR Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji
2015	J	`jnl`	A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. Technometrics Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li