论文发表

191.

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).  

190.

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.  

189.

Longbo Huang, Minghua Chen and Yunxin Liu. Learning-aided Stochastic Network Optimization with Imperfect State Prediction. (Mobihoc 2017), July 10-14, 2017, Chennai, India.  

188.

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 2017) 1-8,2017.  

187.

G. Wang, L. Zhang, and W. Xu. What Can We Learn from Four Years of Data Center Hardware Failures?. International Conference on Dependable Systems and Networks (DSN 2017),pp.25-36.  

186.

Zhiyuan Li, Yicheng Liu, Pingzhong Tang, Tingting Xu, Wei Zhan. Stability of Generalized Two-sided Markets with Transaction Thresholds. Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems(AAMAS 2017 ),pp.290-298,May 08-12, 2017,Sao Paulo, Brazil.  

185.

Shuya Li, Fanghong Dong, Yuexin Wu, Sai Zhang, Chen Zhang, Xiao Liu, Tao Jiang and Jianyang Zeng. A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data. Nucleic Acids Research, Volume 45, Issue 14, pp.e129,21 August 2017..  

184.

Dingshun Lv, Shuoming An, Mark Um, Junhua Zhang, Jing-Ning Zhang, M. S. Kim, and Kihwan Kim. Reconstruction of the Jaynes-Cummings field state of ionic motion in a harmonic trap. Physical Review A ,95,043813 ,April 11 ,2017.  

183.

Ken Funo, Jing-Ning Zhang, Cyril Chatou, Kihwan Kim, Masahito Ueda, and Adolfo del Campo. Universal Work Fluctuations During Shortcuts to Adiabaticity by Counterdiabatic Driving. , Physical Review Letters 118, p.100602 , March 2017.  

182.

Ken Funo, Jing-Ning Zhang, Cyril Chatou, Kihwan Kim, Masahito Ueda, and Adolfo del Campo. Universal Work Fluctuations During Shortcuts to Adiabaticity by Counterdiabatic Driving. Physical Review Letters 118, p.100602 , March 2017.  

181.

Lijie Chen, Jian Li, Mingda Qiao. Towards Instance Optimal Bounds for Best Arm Identification. Accepted to 30th Annual Conference on Learning Theory (COLT 2017).  

180.

Yangchao Shen, Xiang Zhang, Shuaining Zhang, Jing-Ning Zhang, Man-Hong Yung, and Kihwan Kim. Quantum implementation of the unitary coupled cluster for simulating molecular electronic structure. Physical Review A 95, 020501(R), 2017.  

179.

Kaifeng Lv, Shunhua Jiang, Jian Li. Learning Gradient Descent: Better Generalization and Longer Horizons. Accepted to ICML , pp.9, 9 figures, 4 tables,2017.  

178.

Wei Cao, Jian Li, Haitao Wang, Kangning Wang, Ruosong Wang, Raymond Chi-Wing Wong and Wei Zhan. k-Regret Minimizing Set: Efficient Algorithms and Hardness. 20th International Conference on Database Theory (ICDT 2017). Venice, Italy. Leibniz International Proceedings in Informatics, LIPIcs , v. 68, article number 11, March 2017.  

177.

Y.-F. Pu, N. Jiang, W. Chang, H.-X. Yang, C. Li& L.-M. Duan. Experimental realization of a multiplexed quantum memory with 225 individually accessible memory cells. Nature Communications 8, Article number: 15359 (2017)doi:10.1038/ncomms15359.  

176.

Yuan Cao, Yu-Huai Lia, Zhu Cao, Juan Yina,, Yu-Ao Chena, Hua-Lei Yina,, Teng-Yun Chena,, Xiongfeng Mac , Cheng-Zhi Peng, and Jian-Wei Pan. Direct counterfactual communication via quantum zeno effect. Proceedings of the National Academy of Sciences, vol. 114, no. 19, pp. 4920–4924, 2017.  

175.

Adam Bouland, Lijie Chen, Dhiraj Holden, Justin Thaler, and Prashant Nalini Vasudevan. On the Power of Statistical Zero Knowledge. 58th Annual IEEE Symposium on Foundations of Computer Science(FOCS 2017).  

174.

Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger. Densely Connected Convolutional Networks. IEEE Conference on Computer Vision and Pattern Recognition(CVPR 2017) July 21-26, 2017,Honolulu, Hawaii.