- 1442. 2.Anna Cichonska, Balaguru Ravikumar, Robert J Allaway, Sungjoon Park, Fangping Wan, Olexandr Isayev, Shuya Li, Michael J Mason, Andrew Lamb, Minji Jeon, Sunkyu Kim, Mariya Popova, Jianyang Zeng, Kristen Dang, Gregory Koytiger, Jaewoo Kang, Carrow I Wells. Crowdsourced mapping of unexplored target space of kinase inhibitors. , bioRxiv. 2020.
- 1441. Rong Ma#, Yi Li#, Chenxing Li#, Fangping Wan, Hailin Hu, Wei Xu*, Jianyang Zeng. Secure multiparty computation for privacy-preserving drug discovery. , Bioinformatics. 2020.
- 1440. Jiao Sun, Yin Li, Charley Chen, Jiahe Lee, Xin Liu, Zhongping Zhang, Ling Huang, Lei Shi and Wei Xu. FDHelper: Assist Unsupervised Fraud Detection Experts with Interactive Feature Selection and Evaluation. , CHI 2020.
- 1439. Chenbei Lu, Kui Wang, Chenye Wu. Effective End-to-End Learning Framework for Economic Dispatch. , IEEE Transactions on Power Systems 2020.
- 1438. Jingshi Cui, Haoxiang Wang, Chenye Wu. Robust Data-driven Profile-based Pricing Schemes. , Control System Letters (L-CSS) and CDC 2020.
- 1437. Jian Sun, Nan Gu, Chenye Wu. Strategic Bidding in Extended Locational Marginal Price Scheme. , CDC 2020.
- 1436. Y. Du, S. Wang and L. Huang. Dueling Bandits: From Two-dueling to Multi-dueling. , AAMAS 2020.
- 1435. 1.L. Pan, Q. Cai and L. Huang. Multi-Path Policy Optimization. AAMAS 2020.
- 1434. Ran Duan, Haoqing He, Tianyi Zhang. Near-linear Time Algorithms for Approximate Minimum Degree Spanning Trees. , LATIN 2020.
- 1433. Jin, Ce; Wu, Hongxun. A simple near-linear pseudopolynomial time randomized algorithm for subset sum. SOSA 2019.
- 1432. Ryuichi Takanobu, Hanlin Zhu, Minlie Huang. Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. EMNLP 2019.
- 1431. Yu Shi, Jian Li and Zhize Li. Gradient Boosting with Piece-Wise Linear Regression Trees. .
- 1430. 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.
- 1429. 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.
- 1428. 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.
- 1427. 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.
- 1426. 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.
- 1425. 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.
