顶会论文交流环节拟邀请过去一年在ICML、NIPS、COLT、KDD、IJCAI、AAAI、CVPR、ICCV等顶级国际会议上发表论文的作者前来交流。交流形式为 “Spotlight + Poster” 。作者首先就论文内容在会上做简短报告，时间为2分钟半（150秒），之后在墙展报告环节与参会者进行面对面深入交流。值得一提的是，简短报告最好具有一定的吸引性，那样有助于吸引更多参会者通过墙展报告环节了解您的研究工作。

如果您希望得到现场展示的机会，请按照此格式提交申请表。该申请表将由专家进行评审，通过评审的申请人将获得到场 Spotlight + Poster 展出的机会。

1. 报告人可以是教师，也可以是学生；
2. 研讨会只提供展示和交流的机会，不出版文集；
3. 申请表需严格按照此格式返回；
4. 由于展板数量原因，可能会有一些很好的Poster不能获得展示机会，请谅解；
5. 重要日期：
   
   申请表提交截止时间：
   Spotlight报告时间：
   Spotlight报告地点：
   Poster展示时间：
   Poster展示地点：

   9月30日23:59:59；
   11月5日11:15 - 12:00；11月6日11:00 - 12:00；
   恩玲剧场；
   11月5日12:45 - 14:00；11月6日12:45 - 14:45；
   恩玲剧场；
   
   
   
   
   
   
6. 申请表请通过Email发送到：MLA2016@lamda.nju.edu.cn；
7. Poster（墙展海报）尺寸大小为宽（水平）80cm，长（竖直）110cm，中英文均可，讲解使用中文；
8. 请参展人员自行制作并打印80*110cm大小的海报，大会将提供展板。如不熟悉Poster的制作，可以参考这里。

论文列表（按题目内容排序，Poster Spotlight以此次序进行相应的报告）：

编号	报告人	作者	题目	发表地	报告时间
1	Yin Zheng	Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou	A Neural Autoregressive Approach to Collaborative Filtering	ICML'16	11月5日
2	Kun He	Kun He, Yan Wang, John Hopcroft	A Powerful Generative Model Using Random Weights for the Deep Image Representation	NIPS'16
3	Yanni Li	Yanni Li, Hui Li, Tihua Duan, Sheng Wang, Zhi Wang, Yang Cheng	A Real Linear and Parallel Multiple Longest Common Subsequences (MLCS) Algorithm	KDD'16
4	Xueyang Fu	Xueyang Fu, Delu Zeng, Yue Huang, Xiao-Ping Zhang, Xinghao Ding	A weighted variational model for simultaneous reflectance and illumination estimation	CVPR'16
5	Yunhe Wang	Yunhe Wang, Shan You, Dacheng Tao, Chao Xu, Chang Xu	CNNpack: Packing Convolutional Neural Networks in the Frequency Domain	NIPS'16
6	Yan Yang	Yan Yang, Jian Sun, Huibin Li, Zongben Xu	Deep ADMM-Net for Compressive Sensing MRI	NIPS'16
7	Yue Cao	Yue Cao, Mingsheng Long, Jianmin Wang, Qiang Yang, Philip Yu	Deep Visual-Semantic Hashing for Cross-Modal Retrieval	KDD'16
8	Hong Qian	Hong Qian, Yi-Qi Hu, Yang Yu	Derivative-free optimization of high-dimensional non-convex functions by sequential random embeddings	IJCAI'16
9	Shangdong Yang	Shangdong Yang, Yang Gao, Bo An, Hao Wang and Xingguo Chen	Efficient Average Reward Reinforcement Learning using Constant Shifting Values	AAAI'16
10	Jing Huo	Jing Huo, Yang Gao,  Yinghuan Shi, Wanqi Yang, Hujun Yin	Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition	MM'16
11	Xiaotong Yuan	Xiaotong Yuan, Ping Li, Tong Zhang	Exact Recovery of Hard Thresholding Pursuit	NIPS'16
12	Shen-Yi Zhao	Shen-Yi Zhao, Wu-Jun Li	Fast Asynchronous Parallel Stochastic Gradient Descent: A Lock-Free Approach with Convergence Guarantee	AAAI'16
13	Sheng Wang	Wu-Jun Li, Sheng Wang, Wang-Cheng Kang	Feature Learning based Deep Supervised Hashing with Pairwise Labels	IJCAI'16
14	Xiao-Jiao Mao	Xiao-Jiao Mao, Chunhua Shen, Yu-Bin Yang	Image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections	NIPS'16
15	Xiaotong Yuan	Xiaotong Yuan, Ping Li, Tong Zhang, Qingshan Liu, Guangcan Liu	Learning Additive Exponential Family Graphical Models via L2,1-norm Regularized M-Estimation	NIPS'16
16	Yunlong Liu	Yunlong Liu, Hexing Zhu, Yifeng Zeng, Zongxiong Dai	Learning Predictive State Representations via Monte-Carlo Tree Search	IJCAI'16
17	Xuan Huo	Xuan Huo, Ming Li, Zhi-Hua Zhou	Learning Unified Features from Natural and Programming Languages for Locating Buggy Source Code	IJCAI'16	11月6日
18	Chao Xing	Chao Xing, Xin Geng, Hui Xue	Logistic Boosting Regression for Label Distribution Learning	CVPR'16
19	Dongsheng Li	Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Li Shang, Stephen Chu	Low-Rank Matrix Approximation with Stability	ICML'16
20	Peng Hou	Peng Hou, Xin Geng, Min-Ling Zhang	Multi-Label Manifold Learning	AAAI'16
21	Qi Xie	Qi Xie, Qian Zhao, Deyu Meng, Zongben Xu, Shuhang Gu, Wangmeng Zuo, Lei Zhang	Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization	CVPR'16
22	Junchi Yan	Shuai Xiao, Junchi Yan, Changsheng Li, Bo Jin, Xiangfeng Wang, Xiaokang Yang, Stephen M. Chu, Hongyuan Zha	On Modeling and Predicting individual Paper Citation Count over Time	IJCAI'16
23	Yichi Xiao	Lijun Zhang, Tianbao Yang, Rong Jin, Yichi Xiao, Zhi-hua Zhou	Online Stochastic Linear Optimization under One-bit Feedback	ICML'16
24	Chun-Guang Li	Chong You, Chun-Guang Li, Daniel Robinson, René Vidal	Oracle Based Active Set Algorithm for Scalable Elastic Net Subspace Clustering	CVPR'16
25	Binbin Zhou	Min-Ling Zhang, Binbin Zhou, Xu-Ying Liu	Partial Label Learning via Feature-Aware Disambiguation	KDD'16
26	Guifeng Wang	Hongke Zhao, Guifeng Wang, Yong Ge, Qi Liu, Enhong Chen	Portfolio Selections in P2P Lending: A Multi-Objective Perspective	KDD'16
27	Guangyi Lv	Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng	Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos based on Semantic Embedding	AAAI'16
28	Pan Zhang	Pan Zhang	Robust Spectral Detection of Global Structures in the Data by Learning a Regularization	NIPS'16
29	Yanwei Fu	Yanwei fu, Leonid Sigal	Semi-supervised Vocabulary-informed learning	CVPR'16
30	Chang Liu	Chang Liu, Jun Zhu, Yang Song	Stochastic Gradient Geodesic MCMC Methods	NIPS'16
31	Dongfang Du	Tong Xu, Hengshu Zhu, Xiangyu Zhao, Hao Zhong, Qi Liu, Enhong Chen, Hui Xiong	Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective	KDD'16
32	Chen Gong	Chen Gong, Dacheng Tao, Jie Yang, Wei Liu	Teaching-to-Learn and Learning-to-Teach For Multi-label Propagation	AAAI'16
33	Sheng-Jun Huang	Sheng-Jun Huang, Songcan Chen	Transfer Learning with Active Queries from Source Domain	IJCAI'16
34	Mingsheng Long	Mingsheng Long; Han Zhu, Jianmin Wang, Michael Jordan	Unsupervised Domain Adaptation with Residual Transfer Networks	NIPS'16
35	Xin Mu	Xin Mu, Feida Zhu, Zhi-Hua Zhou, Ee-Peng Lim, Jing Xiao, Jianzong Wang	User Identity Linkage by Latent User Space Modelling	KDD'16
36	Han-Jia Ye	Han-Jia Ye, De-Chuan Zhan, Xue-Min Si, Yuan Jiang, Zhi-Hua Zhou	What Makes Objects Similar: A Unified Multi-Metric Learning Approach	NIPS'16