| 2025 | EMNLP | Speculative Safety-Aware Decoding. | Xuekang Wang, Shengyu Zhu, Xueqi Cheng |
| 2024 | IGARSS | Semantic Segmentation for Remote Sensing Images Based on Global And Local Features Integration. | Qingle Guo, Shengyu Zhu |
| 2023 | ICML | Provably Invariant Learning without Domain Information. | Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Yinghui Xu, Peng Cui, Yuan Qi |
| 2023 | IGARSS | Semantic Segmentation for Remote Sensing Images Based on Swin-Transformer and Multiscale Feature Refinement. | Shengyu Zhu |
| 2023 | UAI | Conditional counterfactual causal effect for individual attribution. | Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He |
| 2022 | CVPR | Out-of-distribution Generalization with Causal Invariant Transformations. | Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu |
| 2022 | IGARSS | Pattern Analysis of Deformable Convolution on Retinanet with Semantic Filter Mechanism for Object Detection. | Shengyu Zhu, Junping Zhang, Qingle Guo, Chongxiao Zhong |
| 2022 | ITC | RCANet: Root Cause Analysis via Latent Variable Interaction Modeling for Yield Improvement. | Xiaopeng Zhang, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Evangeline F. Y. Young, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2022 | UAI | Reframed GES with a neural conditional dependence measure. | Xinwei Shen, Shengyu Zhu, Jiji Zhang, Shoubo Hu, Zhitang Chen |
| 2022 | SDM | Masked Gradient-Based Causal Structure Learning. | Ignavier Ng, Shengyu Zhu, Zhuangyan Fang, Haoyang Li, Zhitang Chen, Jun Wang |
| 2021 | ICCAD | A Unified Framework for Layout Pattern Analysis with Deep Causal Estimation. | Ran Chen, Shoubo Hu, Zhitang Chen, Shengyu Zhu, Bei Yu, Pengyun Li, Cheng Chen, Yu Huang, Jianye Hao |
| 2021 | IJCAI | Ordering-Based Causal Discovery with Reinforcement Learning. | Xiaoqiang Wang, Yali Du, Shengyu Zhu, Liangjun Ke, Zhitang Chen, Jianye Hao, Jun Wang |
| 2020 | ICLR | Causal Discovery with Reinforcement Learning. | Shengyu Zhu, Ignavier Ng, Zhitang Chen |
| 2019 | AISTATS | Universal Hypothesis Testing with Kernels: Asymptotically Optimal Tests for Goodness of Fit. | Shengyu Zhu, Biao Chen, Pengfei Yang, Zhitang Chen |
| 2016 | ICASSP | Quantized consensus ADMM for multi-agent distributed optimization. | Shengyu Zhu, Mingyi Hong, Biao Chen |
| 2016 | ISIT | Distributed detection over connected networks via one-bit quantizer. | Shengyu Zhu, Biao Chen |
| 2013 | ACSSC | Are global sufficient statistics always sufficient: The impact of quantization on decentralized data reduction. | Shengyu Zhu, Ge Xu, Biao Chen |
| 2013 | WCNC | Interactive distributed detection with conditionally independent observations. | Shengyu Zhu, Earnest Akofor, Biao Chen |