| 2026 | AAAI | Language Model Distillation: A Temporal Difference Imitation Learning Perspective. | Zishun Yu, Shangzhe Li, Xinhua Zhang |
| 2026 | SAC | Advancing Normal Tissue Complication Probability Modeling with Supervised Contrastive Learning for Predicting Osteoradionecrosis. | Eric Ababio Anyimadu, Xinhua Zhang, Clifton David Fuller, G. Elisabeta Marai, Guadalupe Canahuate |
| 2026 | SAC | Towards Superhuman Imitation Learning for Sequential Head-and-Neck Cancer Treatment Decisions. | Filippo Corna, Xinhua Zhang, Guadalupe Canahuate, Serageldin K. Attia, Abdallah S. Mohamed, Mohamed Naser, Clifton Fuller, G. Elisabeta Marai |
| 2025 | AAAI | Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning. | Wenzhe Fan, Zishun Yu, Chengdong Ma, Changye Li, Yaodong Yang, Xinhua Zhang |
| 2025 | AISTATS | Fairness Risks for Group-Conditionally Missing Demographics. | Kaiqi Jiang, Wenzhe Fan, Mao Li, Xinhua Zhang |
| 2025 | ICDM | FlavorCharter: Development of a Smartphone App for Quantifying Food Flavor. | Francesco Botto, Guadalupe Canahuate, Xinhua Zhang, Clifton D. Fuller, G. Elisabeta Marai |
| 2024 | DEXA | Collaborative Filtering for the Imputation of Patient Reported Outcomes. | Eric Ababio Anyimadu, Clifton David Fuller, Xinhua Zhang, G. Elisabeta Marai, Guadalupe Canahuate |
| 2024 | UAI | Offline Reward Perturbation Boosts Distributional Shift in Online RL. | Zishun Yu, Siteng Kang, Xinhua Zhang |
| 2023 | ICML | Poisoning Generative Replay in Continual Learning to Promote Forgetting. | Siteng Kang, Zhan Shi, Xinhua Zhang |
| 2023 | ICML | Actor-Critic Alignment for Offline-to-Online Reinforcement Learning. | Zishun Yu, Xinhua Zhang |
| 2022 | AISTATS | Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks. | Yeshu Li, Zhan Shi, Xinhua Zhang, Brian D. Ziebart |
| 2022 | AISTATS | Warping Layer: Representation Learning for Label Structures in Weakly Supervised Learning. | Yingyi Ma, Xinhua Zhang |
| 2022 | UAI | Orthogonal Gromov-Wasserstein discrepancy with efficient lower bound. | Hongwei Jin, Zishun Yu, Xinhua Zhang |
| 2021 | AIME | Identifying Symptom Clusters Through Association Rule Mining. | Mikayla Biggs, Carla Floricel, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, G. Elisabeta Marai, Xinhua Zhang, Guadalupe Canahuate |
| 2021 | ICML | Generalised Lipschitz Regularisation Equals Distributional Robustness. | Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith |
| 2021 | IDEAS | Predicting late symptoms of head and neck cancer treatment using LSTM and patient reported outcomes. | Yaohua Wang, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Sherif Radwan Mohamed, Clifton David Fuller, Xinhua Zhang, Georgeta Elisabeta Marai |
| 2020 | ICML | Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space. | Yingyi Ma, Vignesh Ganapathiraman, Yaoliang Yu, Xinhua Zhang |
| 2019 | AISTATS | Learning Invariant Representations with Kernel Warping. | Yingyi Ma, Vignesh Ganapathiraman, Xinhua Zhang |
| 2019 | ICANN | Inter-region Synchronization Analysis Based on Heterogeneous Matrix Similarity Measurement. | Hengjin Ke, Dan Chen, Lei Zhang, Xinhua Zhang, Xianzeng Liu, Xiaoli Li |
| 2019 | KDD | Scaling Multinomial Logistic Regression via Hybrid Parallelism. | Parameswaran Raman, Sriram Srinivasan, Shin Matsushima, Xinhua Zhang, Hyokun Yun, S. V. N. Vishwanathan |
| 2019 | WACV | Euclidean Invariant Recognition of 2D Shapes Using Histograms of Magnitudes of Local Fourier-Mellin Descriptors. | Xinhua Zhang, Lance R. Williams |
| 2018 | ICML | Efficient and Consistent Adversarial Bipartite Matching. | Rizal Fathony, Sima Behpour, Xinhua Zhang, Brian D. Ziebart |
| 2018 | ICML | Inductive Two-layer Modeling with Parametric Bregman Transfer. | Vignesh Ganapathiraman, Zhan Shi, Xinhua Zhang, Yaoliang Yu |
| 2018 | ISVC | Can Deep Learning Learn the Principle of Closed Contour Detection? | Xinhua Zhang, Yijing Watkins, Garrett T. Kenyon |
| 2016 | AISTATS | Scalable and Sound Low-Rank Tensor Learning. | Hao Cheng, Yaoliang Yu, Xinhua Zhang, Eric P. Xing, Dale Schuurmans |
| 2015 | COLT | Exp-Concavity of Proper Composite Losses. | Parameswaran Kamalaruban, Robert C. Williamson, Xinhua Zhang |
| 2013 | COLT | Open Problem: Lower bounds for Boosting with Hadamard Matrices. | Jiazhong Nie, Manfred K. Warmuth, S. V. N. Vishwanathan, Xinhua Zhang |
| 2013 | PSB | Protein-chemical Interaction Prediction via Kernelized Sparse Learning SVM. | Yi Shi, Xinhua Zhang, Xiaoping Liao, Guohui Lin, Dale Schuurmans |
| 2013 | UAI | Convex Relaxations of Bregman Divergence Clustering. | Hao Cheng, Xinhua Zhang, Dale Schuurmans |
| 2012 | ICML | Regularizers versus Losses for Nonlinear Dimensionality Reduction: A Factored View with New Convex Relaxations. | James Neufeld, Yaoliang Yu, Xinhua Zhang, Ryan Kiros, Dale Schuurmans |
| 2012 | WABI | Sparse Learning Based Linear Coherent Bi-clustering. | Yi Shi, Xiaoping Liao, Xinhua Zhang, Guohui Lin, Dale Schuurmans |
| 2011 | AAAI | Convex Sparse Coding, Subspace Learning, and Semi-Supervised Extensions. | Xinhua Zhang, Yaoliang Yu, Martha White, Ruitong Huang, Dale Schuurmans |
| 2011 | ALT | Accelerated Training of Max-Margin Markov Networks with Kernels. | Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan |
| 2011 | SODA | New Approximation Algorithms for Minimum Enclosing Convex Shapes. | Ankan Saha, S. V. N. Vishwanathan, Xinhua Zhang |
| 2011 | UAI | Smoothing Multivariate Performance Measures. | Xinhua Zhang, Ankan Saha, S. V. N. Vishwanathan |
| 2010 | ICNC | Existence and exponential stability of periodic solution for Cohen-Grossberg neural networks with hybrid delays. | Xinhua Zhang, Zuoan Li, Kelin Li |
| 2009 | ICNC | A New Kind of Method for DOA Estimation Based on Blind Source Separation and MVDR Beamforming. | Chunyu Kang, Xinhua Zhang, Dong Han |
| 2008 | CVPR | Consistent image analogies using semi-supervised learning. | Li Cheng, S. V. N. Vishwanathan, Xinhua Zhang |
| 2008 | ICML | Tailoring density estimation via reproducing kernel moment matching. | Le Song, Xinhua Zhang, Alexander J. Smola, Arthur Gretton, Bernhard Schlkopf |
| 2007 | ICML | Conditional random fields for multi-agent reinforcement learning. | Xinhua Zhang, Douglas Aberdeen, S. V. N. Vishwanathan |
| 2005 | AICCSA | A XML format secure protocol - OpenSST. | Xinhua Zhang, Chunyan Jiang, Wanjun Huang, Christoph Meinel |
| 2005 | CAIP | Hybrid Framework for Medical Image Segmentation. | Chunyan Jiang, Xinhua Zhang, Christoph Meinel |
| 2005 | ISNN | Recognition of Radiated Noises of Ships Using Auditory Features and Support Vector Machines. | Xinhua Zhang, Chunyu Kang, Zhijun Xia |
| 2005 | ISNN | A Neural Network Blind Separation Method Based on Special Frequency Bins. | Anqing Zhang, Xuxiu Zhang, Tianshuang Qiu, Xinhua Zhang |
| 2004 | ISCC | Routing based workflow for construction of distributed applications. | Wanjun Huang, Xinhua Zhang, Uwe Roth, Christoph Meinel |
| 2004 | ISNN | Underwater Acoustic Targets Classification Using Welch Spectrum Estimation and Neural Networks. | Chunyu Kang, Xinhua Zhang, Anqing Zhang, Hongwen Lin |