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Towards Earnings Call and Stock Price Movement

Aug 23, 2020
Zhiqiang Ma, Grace Bang, Chong Wang, Xiaomo Liu

* Accepted by KDD 2020 MLF workshop 

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Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations

Jul 12, 2020
Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu

* 13 pages, 4 figures 

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Short-Term Temporal Convolutional Networks for Dynamic Hand Gesture Recognition

Dec 31, 2019
Yi Zhang, Chong Wang, Ye Zheng, Jieyu Zhao, Yuqi Li, Xijiong Xie


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Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing

Nov 07, 2019
Haoming Jiang, Chen Liang, Chong Wang, Tuo Zhao


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Feature Partitioning for Efficient Multi-Task Architectures

Aug 12, 2019
Alejandro Newell, Lu Jiang, Chong Wang, Li-Jia Li, Jia Deng


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Neural Logic Machines

Apr 26, 2019
Honghua Dong, Jiayuan Mao, Tian Lin, Chong Wang, Lihong Li, Denny Zhou

* ICLR 2019. Project page: https://sites.google.com/view/neural-logic-machines 

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Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

Apr 12, 2019
Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille

* Tech Report 

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Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference

Jan 30, 2019
Shun Liao, Ting Chen, Tian Lin, Denny Zhou, Chong Wang


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Neural Phrase-to-Phrase Machine Translation

Nov 06, 2018
Jiangtao Feng, Lingpeng Kong, Po-Sen Huang, Chong Wang, Da Huang, Jiayuan Mao, Kan Qiao, Dengyong Zhou


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Fully Supervised Speaker Diarization

Oct 27, 2018
Aonan Zhang, Quan Wang, Zhenyao Zhu, John Paisley, Chong Wang

* To be submitted to ICASSP 2019 

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Rate Distortion For Model Compression: From Theory To Practice

Oct 09, 2018
Weihao Gao, Chong Wang, Sewoong Oh

* 15 pages, 5 figures 

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Towards Neural Phrase-based Machine Translation

Sep 24, 2018
Po-Sen Huang, Chong Wang, Sitao Huang, Dengyong Zhou, Li Deng

* in International Conference on Learning Representations (ICLR) 2018 

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Subgoal Discovery for Hierarchical Dialogue Policy Learning

Sep 22, 2018
Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara

* 11 pages, 6 figures, EMNLP 2018 

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Sequence Modeling via Segmentations

Jul 18, 2018
Chong Wang, Yining Wang, Po-Sen Huang, Abdelrahman Mohamed, Dengyong Zhou, Li Deng

* recurrent neural networks, dynamic programming, structured prediction 

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Thoracic Disease Identification and Localization with Limited Supervision

Jun 20, 2018
Zhe Li, Chong Wang, Mei Han, Yuan Xue, Wei Wei, Li-Jia Li, Li Fei-Fei

* Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018). V1: CVPR submission; V2: +supplementary; V3: CVPR camera-ready; V4: correction, update reference baseline results according to their latest post; V5: minor correction; V6: Identification results using NIH data splits and various image models 

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Attention-based Graph Neural Network for Semi-supervised Learning

Mar 10, 2018
Kiran K. Thekumparampil, Chong Wang, Sewoong Oh, Li-Jia Li


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Model Distillation with Knowledge Transfer from Face Classification to Alignment and Verification

Oct 23, 2017
Chong Wang, Xipeng Lan, Yangang Zhang

* 10 pages, 1 figures 

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How to Train Triplet Networks with 100K Identities?

Sep 09, 2017
Chong Wang, Xue Zhang, Xipeng Lan

* 9 pages, 9 figures 

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Scaffolding Networks: Incremental Learning and Teaching Through Questioning

May 19, 2017
Asli Celikyilmaz, Li Deng, Lihong Li, Chong Wang

* 11 pages + Abstract + 3 figures 

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TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

Feb 27, 2017
Adji B. Dieng, Chong Wang, Jianfeng Gao, John Paisley

* International Conference on Learning Representations 

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A General Method for Robust Bayesian Modeling

Sep 07, 2016
Chong Wang, David M. Blei


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Scalable Modeling of Conversational-role based Self-presentation Characteristics in Large Online Forums

Dec 10, 2015
Abhimanu Kumar, Shriphani Palakodety, Chong Wang, Carolyn P. Rose, Eric P. Xing, Miaomiao Wen


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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Dec 08, 2015
Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu


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Embarrassingly Parallel Variational Inference in Nonconjugate Models

Oct 14, 2015
Willie Neiswanger, Chong Wang, Eric Xing


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Continuous Time Dynamic Topic Models

May 16, 2015
Chong Wang, David Blei, David Heckerman

* Appears in Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (UAI2008) 

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Nested Hierarchical Dirichlet Processes

May 02, 2014
John Paisley, Chong Wang, David M. Blei, Michael I. Jordan

* To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence, Special Issue on Bayesian Nonparametrics 

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Asymptotically Exact, Embarrassingly Parallel MCMC

Mar 21, 2014
Willie Neiswanger, Chong Wang, Eric Xing


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Stochastic Variational Inference

Apr 22, 2013
Matt Hoffman, David M. Blei, Chong Wang, John Paisley


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Variational Inference in Nonconjugate Models

Mar 12, 2013
Chong Wang, David M. Blei


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A Nested HDP for Hierarchical Topic Models

Jan 16, 2013
John Paisley, Chong Wang, David Blei, Michael I. Jordan

* Submitted to the workshop track of the International Conference on Learning Representations 2013. It is a short version of a longer paper 

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