Yong Cheng, Qian Yang, Yang Liuy, Maosong Suny and Wei Xu. Joint Training for Pivot-based Neural Machine Translation. Twenty-sixth International Joint Conference on Artificial Intelligence,pp.3974-3980,2017.
Gao, Xun; Duan, Lu-Ming. Efficient representation of quantum many-body states with deep neural networks. NATURE COMMUNICATIONS,2041-1723,Aug,2017.
Jia Yongzheng,Xu Wei and Liu Xue. An Optimization Framework for Online Ride-Sharing Markets. 37th IEEE International Conference on Distributed Computing Systems(ICDCS 2017),June 5-8,pp.826-835,2017.
Shun Zheng, Jialei Wang, Fen Xia, Wei Xu, Tong Zhang. A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization. In Journal of Machine Learning Research (JMLR 2017).
Xiao, Lin; Min, Zhang; Yiqun, Liu; Shaoping, Ma. A Neural Network Model for Social-Aware Recommendation. 13th Asia Information Retrieval Societies Conference(AIRS 2017).
Wu, Yuzhao; Lyu, Yongqiang; Fang, Qian; Yin, Hao; Zheng, Geng; Shi, Yuanchun. Protecting Outsourced Data in Semi-Trustworthy Cloud: A Hierarchical System. 37th IEEE International Conference on Distributed Computing Systems Workshops(ICDCSW 2017).
Zhang, Yang; Jia, Yongzheng; Sun, Jiao; Xu, Fangzhou; Xu, Wei; Zhang, Tingjian. DataLab: Introducing software engineering thinking into data science education at scale. 39th IEEE/ACM International Conference on Software Engineering: Software Engineering and Education Track(ICSE-SEET 2017).
Zhang, Sai; He, Xuan; Zeng, Jianyang; Hu, Hailin; Zhou, Jingtian; Jiang, Tao. ROSE: A deep learning based framework for predicting ribosome stalling. 21st Annual International Conference on Research in Computational Molecular Biology(RECOMB 2017).
Xiaofei Wu, Ping Jiang, Gary Razinskas, Yongheng Huo, Hongyi Zhang, Martin Kamp, Armando Rastelli, Oliver G Schmidt, Bert Hecht, Klas Lindfors, Markus Lippitz. On-Chip Single-Plasmon Nanocircuit Driven by a Self-Assembled Quantum Dot. Nano Lett, 17 (7), pp.4291–4296,2017.
Li, Guoliang; Chai, Chengliang; Weng, Xueping; Li, Yuanbing; Yu, Xiang; Zhang, Xiaohang; Yuan, Haitao; Li, Jian; Fan, Ju; Zheng, Yudian. CDB: Optimizing queries with crowd-based selections and joins. International Conference on Management of Data(SIGMOD 2017),pp.1463-1478.
Xiao, Lin; Zhaoquan, Gu. Modeling implicit communities in recommender systems. 18th International Conference on Web Information Systems Engineering(WISE 2017).
Zhou, Yichao; Donald, Bruce R.; Zeng, Jianyang. Parallel Computational Protein Design. COMPUTATIONAL PROTEIN DESIGN,Methods in Molecular Biology,vol.1529,pp.265-277,2017.
Anubhavnidhi Abhashkumar,Joon-Myung Kang,Sujata Banerjee,Aditya Akella, Ying Zhang,Wenfei Wu. Supporting Diverse Dynamic Intent-based Policies using Janus. Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies,pp.296-309, 2017.
Yi-Jun Chang, Tsvi Kopelowitz, Seth Pettie, Ruosong Wang, Wei Zhan. Exponential Separations in the Energy Complexity of Leader Election. Acm Sigact Symposium on Theory of Computing(STOC 2017),pp.771-783, June 19-23, 2017, Montreal.
Ke Liu, Yuan Xu, Weiting Wang, Shi-Biao Zheng, Tanay Roy, Suman Kundu, Madhavi Chand, Arpit Ranadive, Rajamani Vijay, Yipu Song, Luming Duan and Luyan Sun. A twofold quantum delayed-choice experiment in a superconducting circuit. Science Advances,Vol. 3, no. 5, e1603159 DOI: 10.1126/sciadv.1603159, May 05, 2017.
Yu, Yue, and Longbo Huang. Fast Stochastic Variance Reduced ADMM for Stochastic Composition Optimization. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI 2017).
Z. Zhang, X. Yuan, Z. Cao, and X. Ma. Practical round-robin differential-phase-shift quantum key distribution. New Journal of Physics, vol. 19, no. 3, pp. 033013, 2017.
Longbo Huang, Minghua Chen and Yunxin Liu. Learning-aided Stochastic Network Optimization with Imperfect State Prediction. (Mobihoc 2017), July 10-14, 2017, Chennai, India.