Publications
2025:
- Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training, Ting Wang, Zhixin Zhou, Rui Luo, AAAI.
- Conformalized Interval Arithmetic with Symmetric Calibration, Rui Luo, Zhixin Zhou, AAAI.
- Conformal Thresholded Intervals for Efficient Regression, Rui Luo, Zhixin Zhou, AAAI.
2024:
- Game-Theoretic Defenses for Robust Conformal Prediction Against Adversarial Attacks in Medical Imaging, Rui Luo, Jie Bao, Zhixin Zhou, Chuangyin Dang, preprint.
- Structure-Aware Stylized Image Synthesis for Robust Medical Image Segmentation, Jie Bao, Zhixin Zhou, Wen Jung Li, Rui Luo.
- Adaptive Conformal Inference by Particle Filtering under Hidden Markov Models, Xiaoyi Su, Zhixin Zhou, Rui Luo, preprint.
- Averaging of Conformity Scores for Classification, Rui Luo, Zhixin Zhou, preprint.
- Trustworthy Classification Through Rank-Based Conformal Prediction Sets, Rui Luo, Zhixin Zhou, preprint.
- Adaptive Randomization in Network Data, Zhixin Zhou, Ping Li, Feifang Hu, Electronic Journal of Statistics.
2023:
- Statistical Guarantees for Consensus Clustering, Zhixin Zhou, Gautam Dudeja, Arash A. Amini, ICLR.
2022:
- Proximity Graph Maintenance for Fast Online Nearest Neighbor Search, Zhaozhuo Xu, Weijie Zhao, Shulong Tan, Zhixin Zhou, Ping Li (preprint).
2021:
- Rate-Optimal Subspace Estimation on Random Graphs, Zhixin Zhou, Fan Zhou, Ping Li, Cun-Hui Zhang, NeurIPS.
- Norm Adjusted Proximity Graph for Fast Inner Product Retrieval, Shulong Tan, Zhaozhuo Xu, Weijie Zhao, Hongliang Fei, Zhixin Zhou, Ping Li, SIGKDD.
2020:
- Optimal Clustering in Bipartite Graphs, Zhixin Zhou and Arash A. Amini, Journal of Machine Learning Research.
2019:
- Möbius Transformation for Fast Inner Product Search on Graph, Zhixin Zhou, Shulong Tan, Zhaozhuo Xu, Ping Li, NeurIPS.