| 2026 | AAAI | ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction. | Ruochen Li, Zhanxing Zhu, Tanqiu Qiao, Hubert P. H. Shum |
| 2026 | KDD | FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data. | Jianheng Tang, Shilong Tao, Zhe Feng, Haonan Sun, Menglu Wang, Zhanxing Zhu, Yunhuai Liu |
| 2026 | WWW | Diffusion-based Kriging Model with Graph-enhanced Attention. | Mingtao Zhang, Guoli Yang, Zhanxing Zhu, Guangyin Jin, Mengzhu Wang, Xiaoying Bai |
| 2025 | AAAI | Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks. | Bochen Lyu, He Wang, Zheng Wang, Zhanxing Zhu |
| 2025 | ICANN | D | Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Vclav Snsel, Varun Ojha |
| 2025 | ICIG | On Leveraging Unlabeled Data for Concurrent Positive-Unlabeled Classification and Robust Generation. | Bing Yu, Ke Sun, He Wang, Zhouchen Lin, Zhanxing Zhu |
| 2025 | ICLR | DyCAST: Learning Dynamic Causal Structure from Time Series. | Yue Cheng, Bochen Lyu, Weiwei Xing, Zhanxing Zhu |
| 2025 | ICLR | A Solvable Attention for Neural Scaling Laws. | Bochen Lyu, Di Wang, Zhanxing Zhu |
| 2025 | ICML | Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems. | Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu |
| 2025 | KDD | LaDEEP: A Deep Learning-based Surrogate Model for Large Deformation of Elastic-Plastic Solids. | Shilong Tao, Zhe Feng, Haonan Sun, Zhanxing Zhu, Yunhuai Liu |
| 2023 | ACML | Patch-level Neighborhood Interpolation: A General and Effective Graph-based Regularization Strategy. | Ke Sun, Bing Yu, Zhouchen Lin, Zhanxing Zhu |
| 2023 | ICML | MonoFlow: Rethinking Divergence GANs via the Perspective of Wasserstein Gradient Flows. | Mingxuan Yi, Zhanxing Zhu, Song Liu |
| 2022 | ICLR | Fine-grained Differentiable Physics: A Yarn-level Model for Fabrics. | Deshan Gong, Zhanxing Zhu, Andrew J. Bulpitt, He Wang |
| 2022 | ICLR | Implicit Bias of Adversarial Training for Deep Neural Networks. | Bochen Lv, Zhanxing Zhu |
| 2021 | AAAI | Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting. | Mengzhang Li, Zhanxing Zhu |
| 2021 | AAAI | Amata: An Annealing Mechanism for Adversarial Training Acceleration. | Nanyang Ye, Qianxiao Li, Xiao-Yun Zhou, Zhanxing Zhu |
| 2021 | CVPR | Adversarial Invariant Learning. | Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu |
| 2021 | ICLR | Neural Approximate Sufficient Statistics for Implicit Models. | Yanzhi Chen, Dinghuai Zhang, Michael U. Gutmann, Aaron C. Courville, Zhanxing Zhu |
| 2021 | ICLR | AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models. | Ke Sun, Zhanxing Zhu, Zhouchen Lin |
| 2021 | ICML | Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization. | Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama |
| 2020 | AAAI | Multi-Stage Self-Supervised Learning for Graph Convolutional Networks on Graphs with Few Labeled Nodes. | Ke Sun, Zhouchen Lin, Zhanxing Zhu |
| 2020 | AAAI | Efficient Neural Architecture Search via Proximal Iterations. | Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu |
| 2020 | ACML | Towards Understanding and Improving the Transferability of Adversarial Examples in Deep Neural Networks. | Lei Wu, Zhanxing Zhu |
| 2020 | ECAI | Simplifying Graph Attention Networks with Source-Target Separation. | Hantao Guo, Rui Yan, Yansong Feng, Xuesong Gao, Zhanxing Zhu |
| 2020 | ICML | On Breaking Deep Generative Model-based Defenses and Beyond. | Yanzhi Chen, Renjie Xie, Zhanxing Zhu |
| 2020 | ICML | Informative Dropout for Robust Representation Learning: A Shape-bias Perspective. | Baifeng Shi, Dinghuai Zhang, Qi Dai, Zhanxing Zhu, Yadong Mu, Jingdong Wang |
| 2020 | ICML | On the Noisy Gradient Descent that Generalizes as SGD. | Jingfeng Wu, Wenqing Hu, Haoyi Xiong, Jun Huan, Vladimir Braverman, Zhanxing Zhu |
| 2020 | IJCNN | Learning to Search Efficient DenseNet with Layer-wise Pruning. | Xuanyang Zhang, Hao Liu, Zhanxing Zhu, Zenglin Xu |
| 2020 | MICCAI | Automatic Data Augmentation for 3D Medical Image Segmentation. | Ju Xu, Mengzhang Li, Zhanxing Zhu |
| 2019 | AAAI | SpHMC: Spectral Hamiltonian Monte Carlo. | Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo, Jun Huan |
| 2019 | CVPR | Tangent-Normal Adversarial Regularization for Semi-Supervised Learning. | Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu |
| 2019 | ICDM | Towards Making Deep Transfer Learning Never Hurt. | Ruosi Wan, Haoyi Xiong, Xingjian Li, Zhanxing Zhu, Jun Huan |
| 2019 | ICML | Interpreting Adversarially Trained Convolutional Neural Networks. | Tianyuan Zhang, Zhanxing Zhu |
| 2019 | ICML | The Anisotropic Noise in Stochastic Gradient Descent: Its Behavior of Escaping from Sharp Minima and Regularization Effects. | Zhanxing Zhu, Jingfeng Wu, Bing Yu, Lei Wu, Jinwen Ma |
| 2018 | CCS | Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approach. | Guixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu, Yansong Feng, Pengfei Xu, Xiaojiang Chen, Zheng Wang |
| 2018 | IJCAI | Stochastic Fractional Hamiltonian Monte Carlo. | Nanyang Ye, Zhanxing Zhu |
| 2018 | IJCAI | Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting. | Bing Yu, Haoteng Yin, Zhanxing Zhu |
| 2017 | ACL | Learning with Noise: Enhance Distantly Supervised Relation Extraction with Dynamic Transition Matrix. | Bingfeng Luo, Yansong Feng, Zheng Wang, Zhanxing Zhu, Songfang Huang, Rui Yan, Dongyan Zhao |
| 2016 | AAAI | Stochastic Parallel Block Coordinate Descent for Large-Scale Saddle Point Problems. | Zhanxing Zhu, Amos J. Storkey |
| 2011 | ICNC | Hyperspectral unmixing using non-negative matrix factorization with automatically estimating regularization parameters. | Zhenwei Shi, Zhenyu An, Xueyan Tan, Zhanxing Zhu, Zhiguo Jiang |
| 2010 | ICNC | A method of automatically estimating the regularization parameter for Non-negative Matrix Factorization. | Dalong Cheng, Zhenwei Shi, Xueyan Tan, Zhanxing Zhu, Zhiguo Jiang |
| 2009 | ICNC | A Fixed-Point Algorithm for Nonnegative Independent Component Analysis. | Zhenwei Shi, Xueyan Tan, Zhanxing Zhu, Zhiguo Jiang |
| 2009 | ICNC | Quadratic Form Innovation to Blind Source Separation. | Zhenwei Shi, Zhanxing Zhu, Xueyan Tan, Zhiguo Jiang |