Reading Lists

Reading List for the course of Prof. Guanbin Huang on Aug. 3rd

[1] GB Huang, H Zhou, X Ding, R Zhang. Machine for Regression and Multiclass Classification, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, vol. 42, no. 2, pp. 513-529, 2012.

[2] G. Huang, G.-B. Huang, S. Song, and K. You. Trends in Extreme Learning Machines: A Review, Neural Networks, vol. 61, no. 1, pp. 32-48, 2015.

[3] G.-B. Huang. An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels, Cognitive Computation, vol. 6, pp. 376-390, 2014.

[4] G.-B. Huang. What are Extreme Learning Machines? Filling the Gap between Frank Rosenblatt's Dream and John von Neumann's Puzzle, Cognitive Computation, vol. 7, pp. 263-278, 2015.

[5] 黄广斌教授公众号文章(2016-07-25)—超限学习机(ELM):填补弗兰克・罗森布拉特的神经网络梦想和约翰・冯・诺依曼有关生物学习困惑之间的空白,

[6] 黄广斌教授公众号文章(2016-07-06)—超限学习机(ELM):SVM为什么走下“神坛”?

[7] 黄广斌教授公众号文章(2016-07-05)—超限学习机(ELM): 筑梦普适学习和普适智能


Reading List for the course of Prof. Xiaodong He on Aug. 4th

[1] Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry Heck. Learning Deep Structured Semantic Models for Web Search using Clickthrough Data, ACM International Conference on Information and Knowledge Management (CIKM), October 1, 2013.
[2] Grégoire Mesnil, Xiaodong He, Li Deng, Yoshua Bengio. Investigation of Recurrent-Neural-Network Architectures and Learning Methods for Spoken Language Understanding, in Interspeech 2013.
[3] Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Gregoire Mesnil. A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval, in Proceedings of CIKM, November 1, 2014.
[4] Wen-tau Yih, Xiaodong He, Christopher Meek, Scott Wen-tau Yih, Chris Meek. Semantic Parsing for Single-Relation Question Answering, in Proceedings of ACL, Association for Computational Linguistics, June 1, 2014.
[5] Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao, Scott Wen-tau Yih. Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base, in Proceedings of the Joint Conference of the 53rd Annual Meeting of the ACL and the 7th International Joint Conference on Natural Language Processing of the AFNLP, ACL - Association for Computational Linguistics, July 28, 2015.
[6] Hao Fang, Saurabh Gupta, Forrest Iandola, Rupesh Srivastava, Li Deng, Piotr Dollar, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John Platt, Lawrence Zitnick, Geoffrey Zweig, Larry Zitnick. From Captions to Visual Concepts and Back, in The proceedings of CVPR, IEEE - Institute of Electrical and Electronics Engineers, June 1, 2015
[7] Ali Mamdouh Elkahky, Yang Song, Xiaodong He. A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems, in WWW 2015, WWW - World Wide Web Consortium (W3C), May 1, 2015
[8] Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf. Deep Reinforcement Learning with a Natural Language Action Space, in Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL), ACL - Association for Computational Linguistics, July 11, 2016,
[9] Kenneth Tran, Xiaodong He, Lei Zhang, Jian Sun, Cornelia Carapcea, Chris Thrasher, Chris Buehler, Chris Sienkiewicz. Rich Image Captioning in the Wild, in Proceedings of CVPR 2016,, June 1, 2016,
[10] Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab Ward. Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval, in IEEE/ACM Transactions on Audio, Speech, and Language Processing, March 1, 2016
[11] David Golub, Xiaodong H. Character-Level Question Answering with Attention, in Proceedings of EMNLP 2016
[12] Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola. Stacked Attention Networks for Image Question Answering, in Proceedings of CVPR 2016


Reading List for the course of Prof. Deliang Wang on Aug. 5th