Jianshu Chen

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Microsoft ∙ Tencent ∙ The Regents of the University of California

Currently a principal researcher at Tencent AI Lab, working on machine learning and natural language processing. Worked in the Deep Learning Technology Center (DLTC) at Microsoft Research, Redmond, WA. Completed my PhD in Electrical Engineering at University of California, Los Angeles (UCLA).

Featured Co-authors

H. Vincent Poor
204 publications
Xin Wang
198 publications
Jianfeng Gao
153 publications
William Yang Wang
97 publications
Ji Liu
96 publications
Dong Yu
91 publications
Yu Liu
90 publications
Liwei Wang
87 publications
Dan Roth
87 publications
Le Song
85 publications
Yejin Choi
80 publications

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

In this paper, we aim to extract commonsense knowledge to improve machin...
09/12/2020 ∙ by Kai Sun, et al. ∙ 0 ∙ share

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Comprehensive Image Captioning via Scene Graph Decomposition

We address the challenging problem of image captioning by revisiting the...
07/23/2020 ∙ by Yiwu Zhong, et al. ∙ 3 ∙ share

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On Effective Parallelization of Monte Carlo Tree Search

Despite its groundbreaking success in Go and computer games, Monte Carlo...
06/15/2020 ∙ by Anji Liu, et al. ∙ 0 ∙ share

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Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension

In this paper, we study machine reading comprehension (MRC) on long text...
05/16/2020 ∙ by Hongyu Gong, et al. ∙ 0 ∙ share

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Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehensio

In this paper, we study machine reading comprehension (MRC) on long text...
05/16/2020 ∙ by Hongyu Gong, et al. ∙ 0 ∙ share

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Logical Natural Language Generation from Open-Domain Tables

Neural natural language generation (NLG) models have recently shown rema...
04/22/2020 ∙ by Wenhu Chen, et al. ∙ 3 ∙ share

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Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach

Recently, pretrained language models (e.g., BERT) have achieved great su...
09/20/2019 ∙ by Shiyang Li, et al. ∙ 0 ∙ share

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TabFact: A Large-scale Dataset for Table-based Fact Verification

The problem of verifying whether a textual hypothesis holds the truth ba...
09/05/2019 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization

We consider a generic empirical composition optimization problem, where ...
07/22/2019 ∙ by Adithya M. Devraj, et al. ∙ 0 ∙ share

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From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation

Many important classification problems, such as object classification, s...
06/06/2019 ∙ by Yu Liu, et al. ∙ 3 ∙ share

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Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

Semantically controlled neural response generation on limited-domain has...
05/30/2019 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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Evidence Sentence Extraction for Machine Reading Comprehension

Recently remarkable success has been achieved in machine reading compreh...
02/23/2019 ∙ by Hai Wang, et al. ∙ 0 ∙ share

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DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

We present DREAM, the first dialogue-based multiple-choice reading compr...
02/01/2019 ∙ by Kai Sun, et al. ∙ 0 ∙ share

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Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching

We consider the problem of training speech recognition systems without u...
12/23/2018 ∙ by Chih-Kuan Yeh, et al. ∙ 6 ∙ share

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Incorporating Structured Commonsense Knowledge in Story Completion

The ability to select an appropriate story ending is the first step towa...
11/01/2018 ∙ by Jiaao Chen, et al. ∙ 0 ∙ share

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P-MCGS: Parallel Monte Carlo Acyclic Graph Search

Recently, there have been great interests in Monte Carlo Tree Search (MC...
10/28/2018 ∙ by Chen Yu, et al. ∙ 0 ∙ share

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XL-NBT: A Cross-lingual Neural Belief Tracking Framework

Task-oriented dialog systems are becoming pervasive, and many companies ...
08/19/2018 ∙ by Wenhu Chen, et al. ∙ 0 ∙ share

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ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search

Learning to walk over a graph towards a target node for a given input qu...
02/12/2018 ∙ by Yelong Shen, et al. ∙ 0 ∙ share

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Smoothed Dual Embedding Control

We revisit the Bellman optimality equation with Nesterov's smoothing tec...
12/29/2017 ∙ by Bo Dai, et al. ∙ 0 ∙ share

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A Learning-to-Infer Method for Real-Time Power Grid Topology Identification

Identifying arbitrary topologies of power networks in real time is a com...
10/21/2017 ∙ by Yue Zhao, et al. ∙ 0 ∙ share

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Stochastic Variance Reduction Methods for Policy Evaluation

Policy evaluation is a crucial step in many reinforcement-learning proce...
02/25/2017 ∙ by Simon S. Du, et al. ∙ 0 ∙ share

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Character-level Deep Conflation for Business Data Analytics

Connecting different text attributes associated with the same entity (co...
02/08/2017 ∙ by Zhe Gan, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads

We introduce an online popularity prediction and tracking task as a benc...
06/12/2016 ∙ by Ji He, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning with a Natural Language Action Space

This paper introduces a novel architecture for reinforcement learning wi...
11/14/2015 ∙ by Ji He, et al. ∙ 0 ∙ share

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Recurrent Reinforcement Learning: A Hybrid Approach

Successful applications of reinforcement learning in real-world problems...
09/10/2015 ∙ by Xiujun Li, et al. ∙ 0 ∙ share

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Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval

This paper develops a model that addresses sentence embedding, a hot top...
02/24/2015 ∙ by Hamid Palangi, et al. ∙ 0 ∙ share

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Distributed Policy Evaluation Under Multiple Behavior Strategies

We apply diffusion strategies to develop a fully-distributed cooperative...
12/30/2013 ∙ by Sergio Valcarcel Macua, et al. ∙ 0 ∙ share

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A Primal-Dual Method for Training Recurrent Neural Networks Constrained by the Echo-State Property

We present an architecture of a recurrent neural network (RNN) with a fu...
11/24/2013 ∙ by Jianshu Chen, et al. ∙ 0 ∙ share

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