Search Results for author: Hao Zhou

Found 115 papers, 43 papers with code

Dispersed EM-VAEs for Interpretable Text Generation

no code implementations ICML 2020 Wenxian Shi, Hao Zhou, Ning Miao, Lei LI

Interpretability is important in text generation for guiding the generation with interpretable attributes.

Text Generation

Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs

no code implementations NAACL (DeeLIO) 2021 Junjie Wu, Hao Zhou

Dialog topic management and background knowledge selection are essential factors for the success of knowledge-grounded open-domain conversations.

Knowledge Graphs

Variational Autoencoder Generative Adversarial Network for Synthetic Data Generation in Smart Home

no code implementations19 Jan 2022 Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut

To this end, in this paper, we propose a Variational AutoEncoder Generative Adversarial Network (VAE-GAN) as a smart grid data generative model which is capable of learning various types of data distributions and generating plausible samples from the same distribution without performing any prior analysis on the data before the training phase. We compared the Kullback-Leibler (KL) divergence, maximum mean discrepancy (MMD), and Wasserstein distance between the synthetic data (electrical load and PV production) distribution generated by the proposed model, vanilla GAN network, and the real data distribution, to evaluate the performance of our model.

Synthetic Data Generation

Unsupervised Editing for Counterfactual Stories

1 code implementation10 Dec 2021 Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei LI

We also propose a new metric to alleviate the shortcomings of current automatic metrics and better evaluate the trade-off.

Multi-agent Bayesian Deep Reinforcement Learning for Microgrid Energy Management under Communication Failures

no code implementations22 Nov 2021 Hao Zhou, Atakan Aral, Ivona Brandic, Melike Erol-Kantarci

Microgrids (MGs) are important players for the future transactive energy systems where a number of intelligent Internet of Things (IoT) devices interact for energy management in the smart grid.

Q-Learning

A Survey on Green Deep Learning

no code implementations8 Nov 2021 Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei LI

In recent years, larger and deeper models are springing up and continuously pushing state-of-the-art (SOTA) results across various fields like natural language processing (NLP) and computer vision (CV).

Knowledge Distillation Model Compression

Sliding Sequential CVAE with Time Variant Socially-aware Rethinking for Trajectory Prediction

no code implementations28 Oct 2021 Hao Zhou, Dongchun Ren, Xu Yang, Mingyu Fan, Hai Huang

First, with the continuation of time, the prediction error at each time step increases significantly, causing the final displacement error to be impossible to ignore.

Autonomous Driving Pedestrian Trajectory Prediction +2

CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level

no code implementations21 Oct 2021 Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei LI

In this paper, we present a large-scale Chinese news summarization dataset CNewSum, which consists of 304, 307 documents and human-written summaries for the news feed.

Text Summarization

On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark

no code implementations16 Oct 2021 Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang

We propose a taxonomy for dialogue safety specifically designed to capture unsafe behaviors that are unique in human-bot dialogue setting, with focuses on context-sensitive unsafety, which is under-explored in prior works.

Simulated annealing for optimization of graphs and sequences

no code implementations1 Oct 2021 Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie zhou, Lili Mou, Sen Song

The key idea is to integrate powerful neural networks into metaheuristics (e. g., simulated annealing, SA) to restrict the search space in discrete optimization.

Paraphrase Generation

Smart Home Energy Management: Sequence-to-Sequence Load Forecasting and Q-Learning

no code implementations25 Sep 2021 Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut

A smart home energy management system (HEMS) can contribute towards reducing the energy costs of customers; however, HEMS suffers from uncertainty in both energy generation and consumption patterns.

Load Forecasting Q-Learning

Physiological-Physical Feature Fusion for Automatic Voice Spoofing Detection

no code implementations1 Sep 2021 Junxiao Xue, Hao Zhou, Yabo Wang

This method involves feature extraction, a densely connected convolutional neural network with squeeze and excitation block (SE-DenseNet), multi-scale residual neural network with squeeze and excitation block (SE-Res2Net) and feature fusion strategies.

Speaker Verification Speech Synthesis +1

Impact of Acceleration/deceleration Limits on the String Stability of Adaptive Cruise Control

no code implementations9 Aug 2021 Hao Zhou, Anye Zhou, Tienan Li, Danjue Chen, Srinivas Peeta, Jorge Laval

This paper demonstrates that the acceleration/deceleration limits in ACC systems can make a string stable ACC amplify the speed perturbation in natural driving.

EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training

1 code implementation3 Aug 2021 Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang

Although pre-trained language models have remarkably enhanced the generation ability of dialogue systems, open-domain Chinese dialogue systems are still limited by the dialogue data and the model size compared with English ones.

Follow Your Path: a Progressive Method for Knowledge Distillation

no code implementations20 Jul 2021 Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei LI

However, it has been observed that a converged heavy teacher model is strongly constrained for learning a compact student network and could make the optimization subject to poor local optima.

Knowledge Distillation

Short-Term Load Forecasting for Smart HomeAppliances with Sequence to Sequence Learning

no code implementations26 Jun 2021 Mina Razghandi, Hao Zhou, Melike Erol-Kantarci, Damla Turgut

Appliance-level load forecasting plays a critical role in residential energy management, besides having significant importance for ancillary services performed by the utilities.

Load Forecasting

Improving Sign Language Translation with Monolingual Data by Sign Back-Translation

no code implementations CVPR 2021 Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, Houqiang Li

Finally, the synthetic parallel data serves as a strong supplement for the end-to-end training of the encoder-decoder SLT framework.

Sign Language Translation Translation

Compatibility-aware Heterogeneous Visual Search

no code implementations CVPR 2021 Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto

Existing systems use the same embedding model to compute representations (embeddings) for the query and gallery images.

Neural Architecture Search

Fundamental Diagrams of Commercial Adaptive Cruise Control: Worldwide Experimental Evidence

no code implementations12 May 2021 Tienan Li, Danjue Chen, Hao Zhou, Yuanchang Xie, Jorge Laval

Experimental measurements on commercial adaptive cruise control (ACC) vehicles \RoundTwo{are} becoming increasingly available from around the world, providing an unprecedented opportunity to study the traffic flow characteristics that arise from this technology.

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

no code implementations NeurIPS 2021 Zaixiang Zheng, Hao Zhou, ShuJian Huang, Jiajun Chen, Jingjing Xu, Lei LI

Sequence-to-sequence (seq2seq) problems such as machine translation are bidirectional, which naturally derive a pair of directional tasks and two directional learning signals.

Machine Translation Translation

Significance of Low-level Controller for String Stability under Adaptive Cruise Control

no code implementations15 Apr 2021 Hao Zhou, Anye Zhou, Tienan Li, Danjue Chen, Srinivas Peeta, Jorge Laval

Current commercial adaptive cruise control (ACC) systems consist of an upper-level planner controller that decides the optimal trajectory that should be followed, and a low-level controller in charge of sending the gas/brake signals to the mechanical system to actually move the vehicle.

ENPAR:Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction

1 code implementation EACL 2021 Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei LI, Junchi Yan

Current state-of-the-art systems for joint entity relation extraction (Luan et al., 2019; Wad-den et al., 2019) usually adopt the multi-task learning framework.

Coreference Resolution Entity Typing +3

Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding

no code implementations CVPR 2021 Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu

Meanwhile, modified feature assigned with style-like words (including adjectives, adverbs, etc) represents the subjective information, and thus brings personalized predictions; De-bias - We propose a de-bias mechanism to generate diverse predictions, aim to alleviate the bias caused by single-style annotations in the presence of label uncertainty.

Which to Match? Selecting Consistent GT-Proposal Assignment for Pedestrian Detection

no code implementations18 Mar 2021 Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

Consequently, we address the weakness of IoU by introducing one geometric sensitive search algorithm as a new assignment and regression metric.

Autonomous Driving Pedestrian Detection

Decentralized Microgrid Energy Management: A Multi-agent Correlated Q-learning Approach

no code implementations6 Mar 2021 Hao Zhou, Melike Erol-Kantarci

The EMS of an MG could be rather complicated when renewable energy resources (RER), energy storage system (ESS) and demand side management (DSM) need to be orchestrated.

Q-Learning

Correlated Deep Q-learning based Microgrid Energy Management

no code implementations6 Mar 2021 Hao Zhou, Melike Erol-Kantarci

Microgrid (MG) energy management is an important part of MG operation.

Q-Learning

Triangular Bidword Generation for Sponsored Search Auction

no code implementations27 Jan 2021 Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei LI

Our proposed model is simple yet effective: by using bidword as the bridge between search query and advertisement, the generation of search query, advertisement and bidword can be jointly learned in the triangular training framework.

Learning from deep model via exploring local targets

no code implementations1 Jan 2021 Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei LI

However, it has been observed that a converged heavy teacher model is strongly constrained for learning a compact student network and could make the optimization subject to poor local optima.

Knowledge Distillation

Information-theoretic Vocabularization via Optimal Transport

no code implementations1 Jan 2021 Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei LI

In this paper, we find an exciting relation between an information-theoretic feature and the performance of NLP tasks such as machine translation with a given vocabulary.

Machine Translation Translation

Non-iterative Parallel Text Generation via Glancing Transformer

no code implementations1 Jan 2021 Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei LI

Although non-autoregressive models with one-iteration generation achieves remarkable inference speed-up, they still falls behind their autoregressive counterparts inprediction accuracy.

Language Modelling Text Generation

Adaptive Gradient Methods Can Be Provably Faster than SGD with Random Shuffling

no code implementations1 Jan 2021 Xunpeng Huang, Vicky Jiaqi Zhang, Hao Zhou, Lei LI

Adaptive gradient methods have been shown to outperform SGD in many tasks of training neural networks.

Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

1 code implementation25 Dec 2020 Jun Yu, Hao Zhou, Yibing Zhan, DaCheng Tao

Essentially, DGCPN addresses the inaccurate similarity problem by exploring and exploiting the data's intrinsic relationships in a graph.

Quantization

Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection

no code implementations CVPR 2020 Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

i) We generate a bird view map, which is naturally free from occlusion issues, and scan all points on it to look for suitable locations for each pedestrian instance.

Pedestrian Detection

Reciprocal Supervised Learning Improves Neural Machine Translation

1 code implementation5 Dec 2020 Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei LI

Despite the recent success on image classification, self-training has only achieved limited gains on structured prediction tasks such as neural machine translation (NMT).

Knowledge Distillation Machine Translation +2

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

1 code implementation Findings (EMNLP) 2021 Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu

As there is no clean mapping for a user's free form utterance to an ontology, we first model the user preferences as estimated distributions over the system ontology and map the users' utterances to such distributions.

Dialogue State Tracking

Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach

1 code implementation18 Oct 2020 Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, ShuJian Huang, Jiajun Chen, Lei LI

It is quite a challenge to incorporate long document context in the prevailing neural machine translation models such as Transformer.

Machine Translation Translation

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

1 code implementation EMNLP 2020 Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei LI

We investigate the following question for machine translation (MT): can we develop a single universal MT model to serve as the common seed and obtain derivative and improved models on arbitrary language pairs?

Ranked #3 on Machine Translation on WMT2014 English-French (using extra training data)

Machine Translation Translation

Consecutive Decoding for Speech-to-text Translation

1 code implementation21 Sep 2020 Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei LI

The key idea is to generate source transcript and target translation text with a single decoder.

Machine Translation Speech Recognition +2

Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control

1 code implementation21 Aug 2020 Jorge Laval, Hao Zhou

Notably, we found that no control (i. e. random policy) can be an effective control strategy for a surprisingly large family of networks.

Generating Fluent Adversarial Examples for Natural Languages

no code implementations ACL 2019 Huangzhao Zhang, Hao Zhou, Ning Miao, Lei LI

Efficiently building an adversarial attacker for natural language processing (NLP) tasks is a real challenge.

Xiaomingbot: A Multilingual Robot News Reporter

no code implementations ACL 2020 Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yu-Ping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei LI

This paper proposes the building of Xiaomingbot, an intelligent, multilingual and multimodal software robot equipped with four integral capabilities: news generation, news translation, news reading and avatar animation.

News Generation Translation

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation

no code implementations12 Jul 2020 Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei LI

Auto-regressive sequence generative models trained by Maximum Likelihood Estimation suffer the exposure bias problem in practical finite sample scenarios.

Density Ratio Estimation Text Generation

Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs

no code implementations12 Jun 2020 Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei LI

Adaptive gradient methods have attracted much attention of machine learning communities due to the high efficiency.

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization

1 code implementation12 Jun 2020 Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei LI

Due to its simplicity and outstanding ability to generalize, stochastic gradient descent (SGD) is still the most widely used optimization method despite its slow convergence.

Stochastic Optimization

Network On Network for Tabular Data Classification in Real-world Applications

no code implementations20 May 2020 Yuanfei Luo, Hao Zhou, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

As a result, the intra-field information and the non-linear interactions between those operations (e. g. neural network and factorization machines) are ignored.

General Classification

Mirror-Generative Neural Machine Translation

no code implementations ICLR 2020 Zaixiang Zheng, Hao Zhou, Shu-Jian Huang, Lei LI, Xin-yu Dai, Jia-Jun Chen

Training neural machine translation models (NMT) requires a large amount of parallel corpus, which is scarce for many language pairs.

Machine Translation Translation

KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

1 code implementation ACL 2020 Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu

The research of knowledge-driven conversational systems is largely limited due to the lack of dialog data which consist of multi-turn conversations on multiple topics and with knowledge annotations.

Domain Adaptation Knowledge Graphs +1

Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip

1 code implementation3 Apr 2020 Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

In this paper, motivated by the inherent connections between neural joint source-channel coding and discrete representation learning, we propose a novel regularization method called Infomax Adversarial-Bit-Flip (IABF) to improve the stability and robustness of the neural joint source-channel coding scheme.

Representation Learning

MajorityNets: BNNs Utilising Approximate Popcount for Improved Efficiency

no code implementations27 Feb 2020 Seyedramin Rasoulinezhad, Sean Fox, Hao Zhou, Lingli Wang, David Boland, Philip H. W. Leong

Binarized neural networks (BNNs) have shown exciting potential for utilising neural networks in embedded implementations where area, energy and latency constraints are paramount.

Variational Template Machine for Data-to-Text Generation

1 code implementation ICLR 2020 Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei LI

We propose the variational template machine (VTM), a novel method to generate text descriptions from data tables.

Data-to-Text Generation

Importance-Aware Learning for Neural Headline Editing

no code implementations25 Nov 2019 Qingyang Wu, Lei LI, Hao Zhou, Ying Zeng, Zhou Yu

We propose to automate this headline editing process through neural network models to provide more immediate writing support for these social media news writers.

Visual Relationship Detection with Relative Location Mining

1 code implementation2 Nov 2019 Hao Zhou, Chongyang Zhang, Chuanping Hu

Visual relationship detection, as a challenging task used to find and distinguish the interactions between object pairs in one image, has received much attention recently.

Visual Relationship Detection

Kernelized Bayesian Softmax for Text Generation

1 code implementation NeurIPS 2019 Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei LI

Neural models for text generation require a softmax layer with proper token embeddings during the decoding phase.

Text Generation

Review of Learning-based Longitudinal Motion Planning for Autonomous Vehicles: Research Gaps between Self-driving and Traffic Congestion

no code implementations2 Oct 2019 Hao Zhou, Jorge Laval, Anye Zhou, Yu Wang, Wenchao Wu, Zhu Qing, Srinivas Peeta

Some suggestions towards congestion mitigation for future mMP studies are proposed: i) enrich data collection to facilitate the congestion learning, ii) incorporate non-imitation learning methods to combine traffic efficiency into a safety-oriented technical route, and iii) integrate domain knowledge from the traditional car following (CF) theory to improve the string stability of mMP.

Autonomous Vehicles Imitation Learning +1

Deep Single-Image Portrait Relighting

1 code implementation ICCV 2019 Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David W. Jacobs

In this work, we apply a physically-based portrait relighting method to generate a large scale, high quality, "in the wild" portrait relighting dataset (DPR).

 Ranked #1 on Single-Image Portrait Relighting on Multi-PIE (using extra training data)

Single-Image Portrait Relighting

GLoSH: Global-Local Spherical Harmonics for Intrinsic Image Decomposition

no code implementations ICCV 2019 Hao Zhou, Xiang Yu, David W. Jacobs

In this work, we propose a Global-Local Spherical Harmonics (GLoSH) lighting model to improve the lighting component, and jointly predict reflectance and surface normals.

Intrinsic Image Decomposition

Rethinking Text Attribute Transfer: A Lexical Analysis

1 code implementation WS 2019 Yao Fu, Hao Zhou, Jiaze Chen, Lei LI

We apply this framework to existing datasets and models and show that: (1) the pivot words are strong features for the classification of sentence attributes; (2) to change the attribute of a sentence, many datasets only requires to change certain pivot words; (3) consequently, many transfer models only perform the lexical-level modification, while leaving higher-level sentence structures unchanged.

General Classification Lexical Analysis +1

Towards Making the Most of BERT in Neural Machine Translation

1 code implementation15 Aug 2019 Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Wei-Nan Zhang, Lei LI

GPT-2 and BERT demonstrate the effectiveness of using pre-trained language models (LMs) on various natural language processing tasks.

Machine Translation Translation

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

no code implementations7 Aug 2019 Jorge A. Laval, Hao Zhou

We find that: (i) a policy trained with supervised learning with only two examples outperforms LQF, (ii) random search is able to generate near-optimal policies, (iii) the prevailing average network occupancy during training is the major determinant of the effectiveness of DRL policies.

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

no code implementations8 Jul 2019 Rongxiang Weng, Hao Zhou, Shu-Jian Huang, Lei LI, Yifan Xia, Jia-Jun Chen

Experiments in both ideal and real interactive translation settings demonstrate that our proposed \method enhances machine translation results significantly while requires fewer revision instructions from human compared to previous methods.

Machine Translation Translation

Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation

1 code implementation16 Jun 2019 Wenxian Shi, Hao Zhou, Ning Miao, Lei LI

To enhance the controllability and interpretability, one can replace the Gaussian prior with a mixture of Gaussian distributions (GM-VAE), whose mixture components could be related to hidden semantic aspects of data.

Language Modelling Text Generation

Dynamically Fused Graph Network for Multi-hop Reasoning

1 code implementation ACL 2019 Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei LI, Wei-Nan Zhang, Yong Yu

However, many difficult questions require multiple supporting evidence from scattered text among two or more documents.

Question Answering

AutoCross: Automatic Feature Crossing for Tabular Data in Real-World Applications

no code implementations29 Apr 2019 Yuanfei Luo, Mengshuo Wang, Hao Zhou, Quanming Yao, Wei-Wei Tu, Yuqiang Chen, Qiang Yang, Wenyuan Dai

Feature crossing captures interactions among categorical features and is useful to enhance learning from tabular data in real-world businesses.

Distributed Computing

Domain-Constrained Advertising Keyword Generation

no code implementations27 Feb 2019 Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu

Second, the inefficient ad impression issue: a large proportion of search queries, which are unpopular yet relevant to many ad keywords, have no ads presented on their search result pages.

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

1 code implementation14 Nov 2018 Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei LI

In real-world applications of natural language generation, there are often constraints on the target sentences in addition to fluency and naturalness requirements.

Text Generation

On Tree-Based Neural Sentence Modeling

1 code implementation EMNLP 2018 Haoyue Shi, Hao Zhou, Jiaze Chen, Lei LI

To study the effectiveness of different tree structures, we replace the parsing trees with trivial trees (i. e., binary balanced tree, left-branching tree and right-branching tree) in the encoders.

Sentiment Analysis Text Classification

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation

1 code implementation NAACL 2019 Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova

The variational autoencoder (VAE) imposes a probabilistic distribution (typically Gaussian) on the latent space and penalizes the Kullback--Leibler (KL) divergence between the posterior and prior.

Text Generation

Modeling Past and Future for Neural Machine Translation

1 code implementation TACL 2018 Zaixiang Zheng, Hao Zhou, Shu-Jian Huang, Lili Mou, Xin-yu Dai, Jia-Jun Chen, Zhaopeng Tu

The Past and Future contents are fed to both the attention model and the decoder states, which offers NMT systems the knowledge of translated and untranslated contents.

Machine Translation Translation

Dynamic Oracle for Neural Machine Translation in Decoding Phase

no code implementations LREC 2018 Zi-Yi Dou, Hao Zhou, Shu-Jian Huang, Xin-yu Dai, Jia-Jun Chen

However, there are certain limitations in Scheduled Sampling and we propose two dynamic oracle-based methods to improve it.

Machine Translation Translation

Augmenting End-to-End Dialog Systems with Commonsense Knowledge

no code implementations16 Sep 2017 Tom Young, Erik Cambria, Iti Chaturvedi, Minlie Huang, Hao Zhou, Subham Biswas

Building dialog agents that can converse naturally with humans is a challenging yet intriguing problem of artificial intelligence.

A Deep Cascade Network for Unaligned Face Attribute Classification

no code implementations12 Sep 2017 Hui Ding, Hao Zhou, Shaohua Kevin Zhou, Rama Chellappa

First, a weakly-supervised face region localization network is designed to automatically detect regions (or parts) specific to attributes.

General Classification Model Compression

Chunk-Based Bi-Scale Decoder for Neural Machine Translation

1 code implementation ACL 2017 Hao Zhou, Zhaopeng Tu, Shu-Jian Huang, Xiaohua Liu, Hang Li, Jia-Jun Chen

In typical neural machine translation~(NMT), the decoder generates a sentence word by word, packing all linguistic granularities in the same time-scale of RNN.

Machine Translation Translation

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

6 code implementations4 Apr 2017 Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu

Perception and expression of emotion are key factors to the success of dialogue systems or conversational agents.

Context-aware Natural Language Generation for Spoken Dialogue Systems

no code implementations COLING 2016 Hao Zhou, Minlie Huang, Xiaoyan Zhu

Most tranditional QA systems based on templates or rules tend to generate rigid and stylised responses without the natural variation of human language.

Dialogue Generation Question Answering +1

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