publications

publications by categories in reversed chronological order.

2026

  1. LLM
    Reliable AI
    neurips2026_reliability_fig1a.png
    A Latent-Load Framework for Reliability Analysis and Intervention Design in LLM Pipelines
    Yuanjie Shi and Yan Yan
    In NeurIPS, 2026
  2. LLM
    Reliable AI
    neurips2026_codpo_fig1.png
    When Scores Conflict with Preferences: Pre-Alignment Diagnosis and Adaptive Correction of Constraint Drift in DPO
    Ping Liu and Yan Yan
    In NeurIPS, 2026
  3. FL
    CP
    uai26_sketch_size_effect.png
    Valid and Efficient Uncertainty Quantification for Federated Joint Shift
    Yuanjie Shi, Peihong Li, Xuanyu Cao, and Yan Yan
    In UAI, 2026
  4. LLM
    ICML26_inference_time.png
    Inference-Time Conformal Reasoning with Valid Factuality Control for Large Language Models
    Ting Wang, Yuanjie Shi, Yan Yan, and Huan Zhang
    In ICML, 2026
  5. ML
    ICLR2026.png
    Keep the Best, Forget the Rest: Reliable Alignment with Order-Aware Preference Optimization
    Jiahui Zhu, Yuanjie Shi, Xiyue Peng, Xin Liu, Yan Yan, and Honghao Wei
    In ICLR, 2026
    HTML PDF
  6. ML
    AISTATS2026.png
    Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise
    Yuanjie Shi, Peihong Li, Zijian Zhang, Jana Doppa, and Yan Yan
    In AISTATS, 2026
    arXiv HTML PDF
  7. CP
    AAAI26_costsensitive.png
    Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds
    Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, and Yan Yan
    In AAAI, 2026
    arXiv HTML PDF
  8. CP
    AAAI26_minlength_OCP.png
    Provably Minimum-Length Conformal Prediction Sets for Ordinal Classification
    Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu, and Yan Yan
    In AAAI, 2026
    arXiv HTML PDF

2025

  1. CP
    ICML25_DPSM.png
    Direct Prediction Set Minimization via Bilevel Conformal Classifier Training
    Yuanjie Shi, Hooman Shahrokhi, Xuesong Jia, Xiongzhi Chen, Jana Doppa, and Yan Yan
    In ICML, 2025
    arXiv HTML PDF
  2. CP
    Conformal Prediction Sets for Deep Generative Models via Reduction to Conformal Regression
    Hooman Shahrokhi, Devjeet Raj Roy, Yan Yan, Venera Arnaoudova, and Jana Doppa
    In UAI, 2025
    arXiv HTML PDF
  3. Vision
    ConformalSAM: Unlocking the Potential of Foundational Segmentation Models in Semi-Supervised Semantic Segmentation with Conformal Prediction
    Danhui Chen, Ziquan Liu, Chuxi Yang, Dan Wang, Yan Yan, Yi Xu, and Xiangyang Ji
    In ICCV, 2025
    arXiv HTML PDF
  4. FL
    Federated R\backslash’enyi Fair Inference in Federated Heterogeneous System
    Zhiyong Ma, Yuanjie Shi, Yan Yan, and Jian Chen
    In UAI, 2025
    HTML PDF

2024

  1. CP
    Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
    Yuanjie Shi, Subhankar Ghosh, Taha Belkhouja, Jana Doppa, and Yan Yan
    In NeurIPS, 2024
    arXiv HTML PDF
  2. CP
    The Pitfalls and Promise of Conformal Inference Under Adversarial Attacks
    Ziquan Liu, Yufei Cui, Yan Yan, Yi Xu, Xiangyang Ji, Xue Liu, and Antoni B Chan
    In ICML, 2024
    arXiv HTML PDF
  3. Application
    A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning
    Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Yan Yan, Ronald M Summers, and Yingying Zhu
    IEEE Transactions on Medical Imaging, 2024
    HTML
  4. CP
    Improve Robustness of Machine Learning via Efficient Optimization and Conformal Prediction
    Yan Yan
    AI Magazine, 2024
    HTML

2023

  1. Application
    Large-scale Mapping of Tillage Practices in Areas With Diverse Crops, Terrain and Climate
    Amin Norouzi, Amanda Stahl, Siddharth Chaudhary, Yan Yan, and Kirti Rajagopalan
    In AGU Fall Meeting Abstracts, 2023
    HTML
  2. CP
    Probabilistically Robust Conformal Prediction
    Subhankar Ghosh, Yuanjie Shi, Taha Belkhouja, Yan Yan, Jana Doppa, and Brian Jones
    In UAI, 2023
    arXiv HTML PDF
  3. CP
    Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis
    Subhankar Ghosh, Taha Belkhouja, Yan Yan, and Janardhan Rao Doppa
    In AAAI, 2023
    arXiv HTML
  4. Robust
    Enhance Robustness of Machine Learning with Improved Efficiency
    Yan Yan
    In AAAI, 2023
    HTML
  5. ML
    Out-of-Distribution Detection in Time-Series Domain: A Novel Seasonal Ratio Scoring Approach
    Taha Belkhouja, Yan Yan, and Janardhan Rao Doppa
    ACM Transactions on Intelligent Systems and Technology, 2023
    arXiv HTML
  6. Optimization
    Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition
    Zhishuai Guo, Yan Yan, Zhuoning Yuan, and Tianbao Yang
    Journal of Machine Learning Research, 2023
    arXiv HTML PDF

2022

  1. Robust
    Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical analysis
    Taha Belkhouja, Yan Yan, and Janardhan Rao Doppa
    In AAAI, 2022
    arXiv HTML
  2. ML
    Dynamic Time Warping based Adversarial Framework for Time-Series Domain
    Taha Belkhouja, Yan Yan, and Janardhan Rao Doppa
    IEEE transactions on pattern analysis and machine intelligence, 2022
    arXiv HTML

2021

  1. Optimization
    Large-Scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification
    Zhuoning Yuan, Yan Yan, Milan Sonka, and Tianbao Yang
    In ICCV, 2021
    arXiv HTML PDF
  2. ML
    Neural Graph Personalized Ranking for Top-N Recommendation
    Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen, and Jin Huang
    Knowledge-Based Systems, 2021
    HTML

2020

  1. Optimization
    Stochastic Optimization for Non-Convex Inf-Projection Problems
    Yan Yan, Yi Xu, Lijun Zhang, Wang Xiaoyu, and Tianbao Yang
    In ICML, 2020
    arXiv HTML PDF
  2. Optimization
    A Simple and Effective Framework for Pairwise Deep Metric Learning
    Qi Qi, Yan Yan, Zixuan Wu, Xiaoyu Wang, and Tianbao Yang
    In ECCV, 2020
    arXiv HTML
  3. ML
    Adversarial Localized Energy Network for Structured Prediction
    Pingbo Pan, Ping Liu, Yan Yan, Tianbao Yang, and Yi Yang
    In AAAI, 2020
    HTML
  4. Optimization
    Optimal Epoch Stochastic Gradient Descent Ascent Methods for Min-Max Optimization
    Yan Yan, Yi Xu, Qihang Lin, Wei Liu, and Tianbao Yang
    In NeurIPS, 2020
    arXiv HTML PDF

2019

  1. ML
    Multi-Level Visual-Semantic Alignments with Relation-wise Dual Attention Network for Image and Text Matching.
    Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, and Jian Chen
    In IJCAI, 2019
    HTML PDF
  2. Optimization
    Stagewise Training Accelerates Convergence of Testing Error over SGD
    Zhuoning Yuan, Yan Yan, Rong Jin, and Tianbao Yang
    In NeurIPS, 2019
    arXiv HTML PDF
  3. ML
    Adaptive Sparse Confidence-Weighted Learning for Online Feature Selection
    Yanbin Liu, Yan Yan, Ling Chen, Yahong Han, and Yi Yang
    In AAAI, 2019
    HTML
  4. Vision
    Progressive Learning for Person Re-Identification with One Example
    Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wei Bian, and Yi Yang
    IEEE Transactions on Image Processing, 2019
    HTML

2018

  1. Optimization
    A Unified Analysis of Stochastic Momentum Methods for Deep Learning
    Yan Yan, Tianbao Yang, Zhe Li, Qihang Lin, and Yi Yang
    In IJCAI, 2018
    arXiv HTML PDF
  2. Vision
    Deep Adversarial Attention Alignment for Unsupervised Domain Adaptation: the Benefit of Target Expectation Maximization
    Guoliang Kang, Liang Zheng, Yan Yan, and Yi Yang
    In ECCV, 2018
    arXiv HTML PDF
  3. Vision
    Style Aggregated Network for Facial Landmark Detection
    Xuanyi Dong, Yan Yan, Wanli Ouyang, and Yi Yang
    In CVPR, 2018
    arXiv HTML PDF
  4. Vision
    Exploit the Unknown Gradually: One-Shot Video-based Person Re-Identification by Stepwise Learning
    Yu Wu, Yutian Lin, Xuanyi Dong, Yan Yan, Wanli Ouyang, and Yi Yang
    In CVPR, 2018
    HTML PDF
  5. ML
    Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis, and Case Study
    Yan Yan, Mingkui Tan, Ivor W Tsang, Yi Yang, Qinfeng Shi, and Chengqi Zhang
    IEEE Transactions on Knowledge and Data Engineering, 2018
    HTML
  6. Vision
    Late Fusion via Subspace Search with Consistency Preservation
    Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, and Ivor W Tsang
    IEEE Transactions on Image Processing, 2018
    HTML

2017

  1. Vision
    Graph-based Clustering and Ranking for Diversified Image Search
    Yan Yan, Gaowen Liu, Sen Wang, Jian Zhang, and Kai Zheng
    Multimedia Systems, 2017
    HTML

2016

  1. ML
    Learning Sparse Confidence-Weighted Classifier on Very High Dimensional Data
    Mingkui Tan, Yan Yan, Li Wang, Anton Van Den Hengel, Ivor W Tsang, and Qinfeng Javen Shi
    In AAAI, 2016
    HTML
  2. ML
    Robust Semi-Supervised Learning through Label Aggregation
    Yan Yan, Zhongwen Xu, Ivor Tsang, Guodong Long, and Yi Yang
    In AAAI, 2016
    HTML
  3. Optimization
    Homotopy Smoothing for Non-Smooth Problems with Lower Complexity than O (1/\backslashepsilon)
    Yi Xu, Yan Yan, Qihang Lin, and Tianbao Yang
    In NeurIPS, 2016
    arXiv HTML PDF
  4. Vision
    Image Classification by Cross-Media Active Learning with Privileged Information
    Yan Yan, Feiping Nie, Wen Li, Chenqiang Gao, Yi Yang, and Dong Xu
    IEEE Transactions on Multimedia, 2016
    HTML
  5. ML
    Multiple Graph Unsupervised Feature Selection
    Xingzhong Du, Yan Yan, Pingbo Pan, Guodong Long, and Lei Zhao
    Signal Processing, 2016
    HTML

2015

  1. ML
    Scalable Maximum Margin Matrix Factorization by Active Riemannian Subspace Search
    Yan Yan, Mingkui Tan, Ivor Tsang, Yi Yang, Chengqi Zhang, and Qinfeng Shi
    In IJCAI, 2015
    HTML

2014

  1. ML
    Hybrid Heterogeneous Transfer Learning Through Deep Learning
    Joey Zhou, Sinno Pan, Ivor Tsang, and Yan Yan
    In AAAI, 2014
    HTML
  2. Vision
    Semisupervised Feature Selection via Spline Regression for Video Semantic Recognition
    Yahong Han, Yi Yang, Yan Yan, Zhigang Ma, Nicu Sebe, and Xiaofang Zhou
    IEEE Transactions on Neural Networks and Learning Systems, 2014
    HTML

2012

  1. Subcellular Localization Prediction for Human Internal and Organelle Membrane Proteins with Projected Gene Ontology Scores
    Pufeng Du, Yang Tian, and Yan Yan
    Journal of theoretical biology, 2012
    HTML