Hao Zhou

Visual Relationship Detection with Relative Location Mining

Visual relationship detection, as a challenging task used to find and di...
11/02/2019 ∙ by Hao Zhou, et al. ∙ 15 ∙ share

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A Deep Cascade Network for Unaligned Face Attribute Classification

Humans focus attention on different face regions when recognizing face a...
09/12/2017 ∙ by Hui Ding, et al. ∙ 0 ∙ share

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Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images

Lighting estimation from face images is an important task and has applic...
09/06/2017 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Solving Uncalibrated Photometric Stereo Using Fewer Images by Jointly Optimizing Low-rank Matrix Completion and Integrability

We introduce a new, integrated approach to uncalibrated photometric ster...
02/02/2017 ∙ by Soumyadip Sengupta, et al. ∙ 0 ∙ share

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Dynamic Oracle for Neural Machine Translation in Decoding Phase

The past several years have witnessed the rapid progress of end-to-end N...
09/19/2017 ∙ by Zi-Yi Dou, et al. ∙ 0 ∙ share

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Augmenting End-to-End Dialog Systems with Commonsense Knowledge

Building dialog agents that can converse naturally with humans is a chal...
09/16/2017 ∙ by Tom Young, et al. ∙ 0 ∙ share

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Chunk-Based Bi-Scale Decoder for Neural Machine Translation

In typical neural machine translation (NMT), the decoder generates a sen...
05/03/2017 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory

Perception and expression of emotion are key factors to the success of d...
04/04/2017 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Strongly Secure and Efficient Data Shuffle On Hardware Enclaves

Mitigating memory-access attacks on the Intel SGX architecture is an imp...
11/12/2017 ∙ by Ju Chen, et al. ∙ 0 ∙ share

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Modeling Past and Future for Neural Machine Translation

Existing neural machine translation systems do not explicitly model what...
11/27/2017 ∙ by Zaixiang Zheng, et al. ∙ 0 ∙ share

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Non-parametric sparse additive auto-regressive network models

Consider a multi-variate time series (X_t)_t=0^T where X_t ∈R^d which ma...
01/23/2018 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation

This paper addresses the question: Why do neural dialog systems generate...
12/06/2017 ∙ by Bolin Wei, et al. ∙ 0 ∙ share

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BRITS: Bidirectional Recurrent Imputation for Time Series

Time series are widely used as signals in many classification/regression...
05/27/2018 ∙ by Wei Cao, et al. ∙ 0 ∙ share

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QA4IE: A Question Answering based Framework for Information Extraction

Information Extraction (IE) refers to automatically extracting structure...
04/10/2018 ∙ by Lin Qiu, et al. ∙ 0 ∙ share

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Probabilistic Natural Language Generation with Wasserstein Autoencoders

Probabilistic generation of natural language sentences is an important t...
06/22/2018 ∙ by Hareesh Bahuleyan, et al. ∙ 0 ∙ share

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Scalable Overload Control for Large-scale Microservice Architecture

Effective overload control for large-scale online service system is cruc...
06/11/2018 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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On Tree-Based Neural Sentence Modeling

Neural networks with tree-based sentence encoders have shown better resu...
08/29/2018 ∙ by Haoyue Shi, et al. ∙ 0 ∙ share

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Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation

Speech emotion recognition plays an important role in building more inte...
10/30/2018 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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DeepHTTP: Semantics-Structure Model with Attention for Anomalous HTTP Traffic Detection and Pattern Mining

In the Internet age, cyber-attacks occur frequently with complex types. ...
10/30/2018 ∙ by Yuqi Yu, et al. ∙ 0 ∙ share

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CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

In real-world applications of natural language generation, there are oft...
11/14/2018 ∙ by Ning Miao, et al. ∙ 0 ∙ share

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Deadline-Driven Multi-node Mobile Charging

Due to the merit without requiring charging cable, wireless power transf...
10/29/2018 ∙ by Xunpeng Rao, et al. ∙ 0 ∙ share

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Domain-Constrained Advertising Keyword Generation

Advertising (ad for short) keyword suggestion is important for sponsored...
02/27/2019 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Dynamically Fused Graph Network for Multi-hop Reasoning

Text-based question answering (TBQA) has been studied extensively in rec...
05/16/2019 ∙ by Yunxuan Xiao, et al. ∙ 0 ∙ share

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Imitation Learning for Non-Autoregressive Neural Machine Translation

Non-autoregressive translation models (NAT) have achieved impressive inf...
06/05/2019 ∙ by Bingzhen Wei, et al. ∙ 0 ∙ share

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Fixing Gaussian Mixture VAEs for Interpretable Text Generation

Variational auto-encoder (VAE) with Gaussian priors is effective in text...
06/16/2019 ∙ by Wenxian Shi, et al. ∙ 0 ∙ share

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Generating Sentences from Disentangled Syntactic and Semantic Spaces

Variational auto-encoders (VAEs) are widely used in natural language gen...
07/06/2019 ∙ by Yu Bao, et al. ∙ 0 ∙ share

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Correct-and-Memorize: Learning to Translate from Interactive Revisions

State-of-the-art machine translation models are still not on par with hu...
07/08/2019 ∙ by Rongxiang Weng, et al. ∙ 0 ∙ share

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Towards Making the Most of BERT in Neural Machine Translation

GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
08/15/2019 ∙ by Jiacheng Yang, et al. ∙ 0 ∙ share

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Large-scale traffic signal control using machine learning: some traffic flow considerations

This paper uses supervised learning, random search and deep reinforcemen...
08/07/2019 ∙ by Jorge A. Laval, et al. ∙ 0 ∙ share

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Unsupervised Paraphrasing by Simulated Annealing

Unsupervised paraphrase generation is a promising and important research...
09/09/2019 ∙ by Xianggen Liu, et al. ∙ 0 ∙ share

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Rethinking Text Attribute Transfer: A Lexical Analysis

Text attribute transfer is modifying certain linguistic attributes (e.g....
09/26/2019 ∙ by Yao Fu, et al. ∙ 0 ∙ share

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Longitudinal Motion Planning for Autonomous Vehicles and Its Impact on Congestion: A Survey

This paper reviews machine learning methods for the motion planning of a...
10/02/2019 ∙ by Hao Zhou, et al. ∙ 0 ∙ share

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Kernelized Bayesian Softmax for Text Generation

Neural models for text generation require a softmax layer with proper to...
11/01/2019 ∙ by Ning Miao, et al. ∙ 0 ∙ share

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Importance-Aware Learning for Neural Headline Editing

Many social media news writers are not professionally trained. Therefore...
11/25/2019 ∙ by Qingyang Wu, et al. ∙ 0 ∙ share

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Non-autoregressive Transformer by Position Learning

Non-autoregressive models are promising on various text generation tasks...
11/25/2019 ∙ by Yu Bao, et al. ∙ 0 ∙ share

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Hao Zhou

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