Na Zou

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