| 2024 | CoRL | EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving. | Siyue Wang, Zhaorun Chen, Zhuokai Zhao, Chaoli Mao, Yiyang Zhou, Jiayu He, Albert Sibo Hu |
| 2023 | AsiaCCS | EMShepherd: Detecting Adversarial Samples via Side-channel Leakage. | Ruyi Ding, Cheng Gongye, Siyue Wang, A. Adam Ding, Yunsi Fei |
| 2022 | DATE | Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. | Siyue Wang, Geng Yuan, Xiaolong Ma, Yanyu Li, Xue Lin, Bhavya Kailkhura |
| 2021 | BMVC | Intrinsic Examples: Robust Fingerprinting of Deep Neural Networks. | Siyue Wang, Pu Zhao, Xiao Wang, Sang Chin, Thomas Wahl, Yunsi Fei, Qi Alfred Chen, Xue Lin |
| 2021 | IJCAI | Characteristic Examples: High-Robustness, Low-Transferability Fingerprinting of Neural Networks. | Siyue Wang, Xiao Wang, Pin-Yu Chen, Pu Zhao, Xue Lin |
| 2020 | AAAI | Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent. | Pu Zhao, Pin-Yu Chen, Siyue Wang, Xue Lin |
| 2020 | DAC | RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. | Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao |
| 2020 | ICASSP | AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Xue Lin, Peter Chin |
| 2019 | AAAI | Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks. | Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin |
| 2019 | DAC | Fault Sneaking Attack: a Stealthy Framework for Misleading Deep Neural Networks. | Pu Zhao, Siyue Wang, Cheng Gongye, Yanzhi Wang, Yunsi Fei, Xue Lin |
| 2019 | HPCA | E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs. | Zhe Li, Caiwen Ding, Siyue Wang, Wujie Wen, Youwei Zhuo, Chang Liu, Qinru Qiu, Wenyao Xu, Xue Lin, Xuehai Qian, Yanzhi Wang |
| 2019 | IJCAI | Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses. | Xiao Wang, Siyue Wang, Pin-Yu Chen, Yanzhi Wang, Brian Kulis, Xue Lin, Sang Chin |
| 2019 | IGARSS | Aerial Image and Map Synthesis Using Generative Adversarial Networks. | Jun Gu, Yue Zhang, Wenkai Zhang, Hongfeng Yu, Siyue Wang, Yaoling Wang, Lei Wang |
| 2019 | IGARSS | Effective Classification of Local Climate Zones Based on Multi-Source Remote Sensing Data. | Hao Jing, Yingchao Feng, Wenkai Zhang, Yue Zhang, Siyue Wang, Kun Fu, Kaiqiang Chen |
| 2018 | ICCAD | Defensive dropout for hardening deep neural networks under adversarial attacks. | Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David R. Kaeli, Peter Chin, Xue Lin |