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September 18, 2017 - September 20, 2017

Microsoft Research Asia Ph.D. Forum 2017

Location: Microsoft Research Asia, Beijing

Exhibit 1
How Does Bug-Handling Effort Differ among Different Programming Languages?
Jie Zhang, Peking University
Exhibit 2
Mining Significant Microblogs for Misinformation Identification:An Attention-based Approach
Qiang Liu, Chinese Academy of Sciences
Exhibit 3
Faithful to the Original: Fact Aware Neural Abstractive Summarization
Ziqiang Cao, The Hong Kong Polytechnic University
Exhibit 4
Boosting Image Captioning with Attributes
Yingwei Pan, University of Science and Technology of China
Exhibit 5
Dual Learning: A New Learning Paradigm
Yingce Xia, University of Science and Technology of China
Exhibit 6
Interleaved Group Convolutions
Ting Zhang, Microsoft Research Asia
Exhibit 7
DCTM: Discrete-Continuous Transformation Matching for Semantic Flow
Seungryong Kim, Yonsei University
Exhibit 8
Towards Zero Copy Dataflows using RDMA
Li Chen, HKUST
Exhibit 9
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh, POSTECH
Exhibit 10
Expressing Unknowns in Library Code
Hao Tang, Peking University
Exhibit 11
Rendering Speech Across Speaker and Language Difference
Feng-Long Xie, Harbin Institute of Technology
Exhibit 12
The Data Civilizer System
Dong Deng, MIT
Exhibit 13
VQS: Linking Segmentations to Questions and Answers for Supervised Attention in VQA and Question-Focused Semantic Segmentation
Chuang Gan, Tsinghua University