Date 
Speaker 
Materials

2014/10/22 
Zhang Dong Xu 
Why RNN? PPT paper 1,paper 2

2014/12/8 
Liu Rong 
Yu Zhao, Zhiyuan Liu, Maosong Sun. Phrase Type Sensitive Tensor Indexing Model for Semantic Composition. AAAI'15. pdf

Yang Liu, Zhiyuan Liu, TatSeng Chua, Maosong Sun. Topical Word Embeddings. AAAI'15. pdfcode

Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, Xuan Zhu. Learning Entity and Relation Embeddings for Knowledge Graph Completion. AAAI'15. pdfcode

2015/07/10 
Liu Rong 
 ContextDependent Translation Selection Using Convolutional Neural Network [1]
 Syntaxbased Deep Matching of Short Texts [2]
 Convolutional Neural Network Architectures for Matching Natural Language Sentences[3]
 LSTM: A Search Space Odyssey [4]
 A Deep Embedding Model for Cooccurrence Learning [5]
 Text segmentation based on semantic word embeddings[6]
 semantic parsing via paraphrashings[7]

2015/07/22 
Dong Wang 

2015/07/29 
Xiaoxi Wang 
 Sequence to Sequence Learning with Neural Networks pdf
 Neural Machine Translation by Jointly Learning to Align and Translate pdf

2015/08/05 
Tianyi Luo 
 A Hierarchical Knowledge Representation for Expert Finding on Social Media(ACL 2015 short paper) [pdf]

2015/08/05 
Dongxu Zhang 
 Describing Multimedia Content using Attentionbased EncoderDecoder Networks[8]
 AttentionBased Models for Speech Recognition[9] details in speech recognition.
 Neural Machine Translation by Joint Learning to Align and Translate[10] details in machine translation.

2015/08/07 
Chao Xing 
 Neural Word Embedding as Implicit Matrix Factorization [pdf]
 Matrix factorization techniques for recommender systems [[11]]

2015/10/14 
Tianyi Luo, Dongxu Zhang, Chao Xing 
 MEMORY NETWORKS(ICLR 2015) [pdf]
 EndToEnd Memory Networks(NIPS 2015) [pdf]

2015/10/20 
Tianyi Luo, Xiaoxi Wang 
 The Kendall and Mallows Kernels for Permutations (ICML 2015) [pdf]
 The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations (BMC Bioinformatics) [pdf]
 Reasoning about Entailment with Neural Attention [pdf]

2015/10/28 
Lantian Li 
 Binary Code Ranking with Weighted Hamming Distance [pdf]

2015/11/05 
Chao Xing, Xiaoxi Wang 
 Generative Image Modeling Using Spatial LSTMs [pdf]
 Characterlevel Convolutional Networks for Text Classification [pdf]

2015/11/20 
qixinWang 
 Are You Talking to a Machine? [pdf]
 mRNN [pdf]
 PresentationPPT [pdf]

2015/11/27 
Xiaoxi Wang 
 NEURAL PROGRAMMERINTERPRETERS [pdf]
 Subset Selection by Pareto Optimization [pdf]

2015/11/27 
Chao Xing 
 Random Walks and Neural Network Language Models [pdf]
 SENSEMBED: Learning Sense Embeddings forWord and Relational Similarity[pdf]

2015/12/4 
Dongxu Zhang, Qixin Wang, Chao Xing 
 Building a shared world: Mapping distributional to modeltheoretic semantic spaces[pdf]
 Playing Atari with Deep Reinforcement Learning[pdf]
 Word Embedding Revisited A New Representation Learning and Explicit Matrix Factorization Perspective [pdf]

2015/12/11 
Chao Xing, Yiqiao Pan 
 SemiSupervised Word Sense Disambiguation Using Word Embeddings in General and Specific Domains [pdf]
 SENSE2VEC  A FAST AND ACCURATE METHOD FOR WORD SENSE DISAMBIGUATION IN NEURAL WORD EMBEDDINGS [pdf]
 Efficient Nonparametric Estimation of Multiple Embeddings per Word in Vector Space[pdf]
 Distributional Semantics in Use[pdf]

2015/12/18 
Tianyi Luo, Dongxu Zhang 
 Humanlevel concept learning through probabilistic program induction(Cognitive Science) [pdf]
 Cluster Analysis of Heterogeneous Rank Data(ICML 2007) [pdf]
 Building a shared world: Mapping distributional to modeltheoretic semantic spaces[pdf]

2015/12/25 
Dongxu zhang, Qixin Wang 
 Exploiting Multiple Sources for Opendomain Hypernym Discovery[[12]]
 learning semantic hierarchies via word embeddings[[13]]

2015/12/31 
Xiaoxi Wang， Chao Xing 
 Multilingual Language Processing From Bytes [pdf]
 Towards universal neural nets: Gibbs machines and ACE. [pdf]

2016/1/8 
Qixin Wang， Tianyi Luo 
 Unveiling the Dreams of Word Embeddings: Towards LanguageDriven Image Generation[pdf]
 Generating Chinese Couplets using a Statistical MT Approach[pdf]
 Generating Chinese Classical Poems with Statistical Machine Translation Models[pdf]
 Chinese Poetry Generation with Recurrent Neural Networks[pdf]

2016/1/15 
Chao Xing 
 Learning from Chris Dyer [ppt]
 Learning Word Representations with Hierarchical Sparse Coding [pdf]
 Nondistributional Word Vector Representations [pdf]
 Sparse Overcomplete Word Vector Representations [pdf]

2016/1/22 
Qixin Wang, Tianyi Luo 
 Skip_thought_vector [pdf]

2016/1/29 
Dongxu Zhang 
 Towards Neural Networkbased Reasoning[[14]]

2016/3/25 
Jiyuan Zhang 
 Modeling Temporal Dependencies in HighDimensional Sequences:Application to Polyphonic Music Generation and Transcription[pdf]
 Composing Music With Recurrent Neural Networks[blog]

2016/4/1 
Chao Xing 
 Generating Text with Deep Reinforcement Learning[pdf]

2016/4/8 
Tianyi Luo 
 Generating Chinese Classical Poems with RNN[[15]]

2016/4/28 
Chao Xing 
 Knowledge Base Completion via SearchBased Question Answering [[16]]
 Open Domain Question Answering via Semantic Enrichment [[17]]
 A Neural Conversational Model [[18]]

2016/5/11 
Chao Xing 
 A Hierarchical Recurrent EncoderDecoder for Generative ContextAware Query Suggestion
 A Neural Network Approach to ContextSensitive Generation of Conversational Responses
 Building EndToEnd Dialogue Systems Using Generative Hierarchical Neural Network Models
 Neural Responding Machine for ShortText Conversation
 Learning from Real Users Rating Dialogue Success with Neural Networks for Reinforcement Learning in Spoken Dialogue Systems

2016/7/28 
Aiting Liu 
 Intrinsic Subspace Evaluation of Word Embedding Representations [pdf]

2016/8/4 
Aodong Li, Jiyuan Zhang, Andi Li 
 On the Role of Seed Lexicons in Learning Bilingual Word Embeddings [pdf]
 ABCNN AttentionBased Convolutional Neural Network for Modeling Sentence Pairs
[pdf]
 Tutorial: Introduction to different LMs: NNLM, RNNLM, bag of words, skipgram

2016/8/11 
Shiyao Li, Ziwei Bai 
 Multilingual partofspeech tagging with bidirectional long shortterm memory models and auxiliary loss
[pdf]
 Tutorial: Tensorflow guidelines and some examples

2016/8/18 
Jiyuan Zhang 
 Tutorial: Introduction to GRU, LSTM, RBM
 Tutorial : Linear Algebra, Probability and Information Basics
