Na Zou
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
23
Venues
11
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
23 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | MAIN-RAG: Multi-Agent Filtering Retrieval-Augmented Generation. | 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 | ACL | Quantized Can Still Be Calibrated: A Unified Framework to Calibration in Quantized Large Language Models. | Mingyu Zhong, Guanchu Wang, Yu-Neng Chuang, Na Zou |
| 2025 | ICML | On Explaining Equivariant Graph Networks via Improved Relevance Propagation. | Hongyi Ling, Haiyang Yu, Zhimeng Jiang, Na Zou, Shuiwang Ji |
| 2025 | KDD | CODA: Temporal Domain Generalization via Concept Drift Simulator. | Chia-Yuan Chang, Yu-Neng Chuang, Zhimeng Jiang, Kwei-Herng Lai, Anxiao Jiang, Na Zou |
| 2024 | AAAI | Chasing Fairness in Graphs: A GNN Architecture Perspective. | Zhimeng Jiang, Xiaotian Han, Chao Fan, Zirui Liu, Na Zou, Ali Mostafavi, Xia Hu |
| 2024 | ICLR | FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods. | Xiaotian Han, Jianfeng Chi, Yu Chen, Qifan Wang, Han Zhao, Na Zou, Xia Hu |
| 2024 | KDD | IDEA: A Flexible Framework of Certified Unlearning for Graph Neural Networks. | Yushun Dong, Binchi Zhang, Zhenyu Lei, Na Zou, Jundong Li |
| 2023 | ICLR | Learning Fair Graph Representations via Automated Data Augmentations. | Hongyi Ling, Zhimeng Jiang, Youzhi Luo, Shuiwang Ji, Na Zou |
| 2023 | ICML | Graph Mixup with Soft Alignments. | Hongyi Ling, Zhimeng Jiang, Meng Liu, Shuiwang Ji, Na Zou |
| 2023 | ICML | DIVISION: Memory Efficient Training via Dual Activation Precision. | Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Ben Hu |
| 2023 | KDD | Data-centric AI: Techniques and Future Perspectives. | Daochen Zha, Kwei-Herng Lai, Fan Yang, Na Zou, Huiji Gao, Xia Hu |
| 2023 | SDM | RELIANT: Fair Knowledge Distillation for Graph Neural Networks. | Yushun Dong, Binchi Zhang, Yiling Yuan, Na Zou, Qi Wang, Jundong Li |
| 2022 | AMIA | Fairly Predicting Graft Failure in Liver Transplant for Organ Assigning. | Sirui Ding, Ruixiang Tang, Daochen Zha, Na Zou, Kai Zhang, Xiaoqian Jiang, Xia Hu |
| 2022 | CIKM | Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning. | Daochen Zha, Kwei-Herng Lai, Qiaoyu Tan, Sirui Ding, Na Zou, Xia Ben Hu |
| 2022 | IJCAI | AutoVideo: An Automated Video Action Recognition System. | 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 |
| 2021 | AAAI | A Unified Taylor Framework for Revisiting Attribution Methods. | Huiqi Deng, Na Zou, Mengnan Du, Weifu Chen, Guocan Feng, Xia Hu |
| 2021 | KDD | Mutual Information Preserving Back-propagation: Learn to Invert for Faithful Attribution. | Huiqi Deng, Na Zou, Weifu Chen, Guocan Feng, Mengnan Du, Xia Hu |
| 2021 | WWW | Mitigating Gender Bias in Captioning Systems. | Ruixiang Tang, Mengnan Du, Yuening Li, Zirui Liu, Na Zou, Xia Hu |
| 2020 | AAAI | Non-Local U-Nets for Biomedical Image Segmentation. | Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji |
| 2020 | IJCAI | Multi-Channel Graph Neural Networks. | Kaixiong Zhou, Qingquan Song, Xiao Huang, Daochen Zha, Na Zou, Xia Hu |
| 2020 | WWW | PyODDS: An End-to-end Outlier Detection System with Automated Machine Learning. | Yuening Li, Daochen Zha, Praveen Kumar Venugopal, Na Zou, Xia Hu |
| 2019 | CIKM | SpecAE: Spectral AutoEncoder for Anomaly Detection in Attributed Networks. | Yuening Li, Xiao Huang, Jundong Li, Mengnan Du, Na Zou |
| 2019 | ICDM | Learning Hierarchical and Shared Features for Improving 3D Neuron Reconstruction. | Hao Yuan, Na Zou, Shaoting Zhang, Hanchuan Peng, Shuiwang Ji |