- 1180. Weiran Shen, Pingzhong Tang, Yulong Zeng. Buyer Signaling Games in Auctions. , AAMAS 2019.
- 1179. Feiyang Pan, Qingpeng Cai, Anxiang Zeng, Chun-Xiang Pan, Qing Da, Hua-Lin He, Qing He, Pingzhong Tang. Policy Optimization with Model-Based Explorations. , AAAI 2019.
- 1178. Shani Alkoby, Zihe Wang, David Sarne, Pingzhong Tang. Making Money from What You Know - How to Sell Information?. , AAAI 2019.
- 1177. Binghui Peng, Weiran Shen, Pingzhong Tang, Song Zuo. Learning Optimal Strategies to Commit To. , AAAI 2019.
- 1176. Vahab S. Mirrokni, Renato Paes Leme, Pingzhong Tang, Song Zuo. Optimal Dynamic Auctions Are Virtual Welfare Maximizers. , AAAI 2019.
- 1175. Ling Pan, Qingpeng Cai, Zhixuan Fang, Pingzhong Tang, Longbo Huang. A Deep Reinforcement Learning Framework for Rebalancing Dockless Bike Sharing Systems. , AAAI 2019.
- 1174. Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching through Pricing: Modeling Ride-Sharing Markets and Designing Dynamic Prices. .
- 1173. Shenke Xiao, Zihe Wang, Mengjing Chen, Pingzhong Tang,Xiwang Yang. Optimal Common Contract with Heterogeneous Agents. .
- 1172. Mengjing Chen, Weiran Shen, Pingzhong Tang, Song Zuo. Dispatching Through Pricing: Modeling Ride-sharing and Designing Dynamic Prices. , IJCAI 2019.
- 1171. Weiran Shen, Pingzhong Tang, Song Zuo. Automated Mechanism Design via Neural Networks. , AAMAS 2019.
- 1170. 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.
- 1169. 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.
- 1168. 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.
- 1167. 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.
- 1166. 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.
- 1165. 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.
- 1164. Zhongfan Jia, Chenglong Bao, Kaisheng Ma. Exploring Frequency Domain Interpretation of Convolutional Neural Networks. .
- 1163. 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.
