- 39. Jia, Yongzheng; Xu, Wei; Liu, Xue. An Optimization Framework for Online Ride-Sharing Markets. 37th IEEE International Conference on Distributed Computing Systems, ICDCS 2017.
- 38. 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.
- 37. Xiao, Lin; Min, Zhang; Yiqun, Liu; Shaoping, Ma. A Neural Network Model for Social-Aware Recommendation. 13th Asia Information Retrieval Societies Conference, AIRS 2017.
- 36. Lin, Xiao; Zhang, Min; Liu, Yiqun; Ma, Shaoping; Zhang, Yongfeng; Gu, Zhaoquan. Boosting moving average reversion strategy for online portfolio selection: A meta-learning approach. 22nd International Conference on Database Systems for Advanced Applications, DASFAA 2017.
- 35. Yuhan Suy, Zhongming Jin, Ying Chen, Xinghai Sun, Yaming Yang, Fangzheng Qiaoz, Fen Xia, Wei Xu. Improving click-through rate prediction accuracy in online advertising by transfer learning. Proceedings of the International Conference on Web Intelligence Pages 1018-1025 ,Leipzig, Germany — August 23 - 26, 2017.
- 34. 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.
- 33. 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.
- 32. 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.
- 31. 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., 2017, 17 (7), pp 4291–4296..
- 30. 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. 2017 ACM SIGMOD International Conference on Management of Data, SIGMOD 2017.
- 29. Xiao, Lin; Zhaoquan, Gu. Modeling implicit communities in recommender systems. 18th International Conference on Web Information Systems Engineering, WISE 2017.
- 28. Zhou, Yichao; Donald, Bruce R.; Zeng, Jianyang. Parallel Computational Protein Design. COMPUTATIONAL PROTEIN DESIGN,Methods in Molecular Biology,vol.1529,pp.265-277,2017.
- 27. 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..
- 26. 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 , 2017 :771-783, June 19-23, 2017 in Montreal.
- 25. 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 05 May 2017:Vol. 3, no. 5, e1603159 DOI: 10.1126/sciadv.1603159.
- 24. 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-17).
- 23. 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, p. 033013, 2017.
- 22. Y. Dong, Y. Pan, X. Zhao, R. Li, C. Yuan, and W. Xu. Identifying Carotid Plaque Composition in MRI with Convolutional Neural Networks. 2017 IEEE International Conference on Smart Computing (SMARTCOMP) 1-8 (2017).