Search Results for author: Jing He

Found 10 papers, 3 papers with code

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation

1 code implementation2 Apr 2022 Jing He, Yiyi Zhou, Qi Zhang, Jun Peng, Yunhang Shen, Xiaoshuai Sun, Chao Chen, Rongrong Ji

Pixel synthesis is a promising research paradigm for image generation, which can well exploit pixel-wise prior knowledge for generation.

Image Generation

How to Eliminate Detour Behaviors in E-hailing? Real-time Detecting and Time-dependent Pricing

no code implementations15 Oct 2019 Qiong Tian, Yue Yang, Jiaqi Wen, Fan Ding, Jing He

With the rapid development of information and communication technology (ICT), taxi business becomes a typical electronic commerce mode.

Line Detection

Cautionary Tales on Air-Quality Improvement in Beijing

no code implementations Proceedings of the Royal Society A 2017 Shuyi Zhang, Bin Guo, Anlan Dong, Jing He, Ziping Xu, Song Xi Chen

While this statistic offered some relief for the inhabitants of the capital, we present several analyses based on Beijing's PM2. 5 data of the past 4 years at 36 monitoring sites along with meteorological data of the past 7 years.

A Sequence-to-Sequence Model for User Simulation in Spoken Dialogue Systems

no code implementations30 Jun 2016 Layla El Asri, Jing He, Kaheer Suleman

The model takes as input a sequence of dialogue contexts and outputs a sequence of dialogue acts corresponding to user intentions.

Dialogue State Tracking Spoken Dialogue Systems

Policy Networks with Two-Stage Training for Dialogue Systems

no code implementations WS 2016 Mehdi Fatemi, Layla El Asri, Hannes Schulz, Jing He, Kaheer Suleman

Indeed, with only a few hundred dialogues collected with a handcrafted policy, the actor-critic deep learner is considerably bootstrapped from a combination of supervised and batch RL.

Dialogue State Tracking Gaussian Processes

A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data

1 code implementation ACL 2016 Adam Trischler, Zheng Ye, Xingdi Yuan, Jing He, Phillip Bachman, Kaheer Suleman

The parallel hierarchy enables our model to compare the passage, question, and answer from a variety of trainable perspectives, as opposed to using a manually designed, rigid feature set.

Natural Language Processing Question Answering +1

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