- 16. Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. , AAAI 2019.
- 15. Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching through Pricing: Modeling Ride-Sharing Markets and Designing Dynamic Prices. .
- 14. Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang,Xiwang Yang. Optimal Common Contract with Heterogeneous Agents. .
- 13. Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching Through Pricing: Modeling Ride-sharing and Designing Dynamic Prices. , IJCAI 2019.
- 12. Weiran Shen, Pingzhong Tang, Song Zuo. Automated Mechanism Design via Neural Networks. , AAMAS 2019.
- 11. Ye, Shaokai, Kaidi Xu, Sijia Liu, Hao Cheng, Jan-Henrik Lambrechts, Huan Zhang, Aojun Zhou, Kaisheng Ma, Yanzhi Wang, and Xue Lin. Second Rethinking of Network Pruning in the Adversarial Setting. , arXiv preprint arXiv:1903.12561.
- 10. Ma, Xiaolong, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, and Yanzhi Wang. Pconv: The missing but desirable sparsity in dnn weight pruning for real-time execution on mobile devices. , AAAI 2020.
- 9. Xiang, Lei, Hang Dong, Fei Wang, Yu Guo, and Kaisheng Ma. Gated Contiguous Memory U-Net for Single Image Dehazing. , International Conference on Neural Information Processing.
- 8. Zhang, Linfeng, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, and Kaisheng Ma.. SCAN: A Scalable Neural Networks Framework Towards Compact and Efficient Models. , NeurIPS 2019.
- 7. Ma, Kaisheng, Shuangchen Li, Vijaykrishnan Narayanan, and Yuan Xie. Nonvolatile Processor Architecture Exploration for Energy-Harvesting Application Scenarios. , Embedded, Cyber-Physical, and IoT Systems, Springer, Cham.
- 6. Li, Xueqing; Wu, Juejian; Ni, Kai; George, Sumitha; Ma, Kaisheng; Sampson, John; Gupta, Sumeet Kumar; Liu, Yongpan; Yang, Huazhong; Datta, Suman; Narayanan, Vijaykrishnan. Design of 2T/Cell and 3T/Cell Nonvolatile Memories with Emerging Ferroelectric FETs. , IEEE DESIGN & TEST.
- 5. Zhongfan Jia, Chenglong Bao, Kaisheng Ma. Exploring Frequency Domain Interpretation of Convolutional Neural Networks. .
- 4. Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao, Kaisheng Ma. Be Your Own Teachers: Improve the Performance of Convolutional Neural Networks via Self Distillation. ICCV2019.
- 3. Linfeng Zhang, Zhanhong Tan, Jiebo Song, Jingwei Chen, Chenglong Bao, Kaisheng Ma. A Scalable Neural Networks Framework Towards Compact and Efficient Models. NeurIPS2019.
- 2. Lin, Sheng, Xiaolong Ma, Shaokai Ye, Geng Yuan, Kaisheng Ma, and Yanzhi Wang. Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. , rXiv preprint arXiv:1905.00789.
- 1. Shaokai Ye, Kailu Wu, Yunfei Yang, Sia Huat Tan, Kaisheng Ma. Light-weight Calibrator: A separable component for unsupervised domain adataption. .