Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox
Picture for Hao Zhou

Hao Zhou

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


Mar 31, 2021
Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu

Figure 1 for Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Figure 2 for Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Figure 3 for Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
Figure 4 for Embracing Uncertainty: Decoupling and De-bias for Robust Temporal Grounding
* Accepted by CVPR 2021 
  Access Paper or Ask Questions

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery


Mar 18, 2021
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li

Figure 1 for MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Figure 2 for MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Figure 3 for MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Figure 4 for MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
* ICLR 2021 
  Access Paper or Ask Questions

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


Mar 18, 2021
Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

* This manuscript is waiting for further improvement 
  Access Paper or Ask Questions

Correlated Deep Q-learning based Microgrid Energy Management


Mar 06, 2021
Hao Zhou, Melike Erol-Kantarci

Figure 1 for Correlated Deep Q-learning based Microgrid Energy Management
Figure 2 for Correlated Deep Q-learning based Microgrid Energy Management
Figure 3 for Correlated Deep Q-learning based Microgrid Energy Management
Figure 4 for Correlated Deep Q-learning based Microgrid Energy Management
* Accepted by 2020 IEEE 25th International Workshop on CAMAD, 978-1-7281-6339-0/20/$31.00 \copyright 2020 IEEE 
  Access Paper or Ask Questions

Triangular Bidword Generation for Sponsored Search Auction


Jan 27, 2021
Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li

Figure 1 for Triangular Bidword Generation for Sponsored Search Auction
Figure 2 for Triangular Bidword Generation for Sponsored Search Auction
Figure 3 for Triangular Bidword Generation for Sponsored Search Auction
Figure 4 for Triangular Bidword Generation for Sponsored Search Auction
* 9 pages, 5 figures, accepted by WSDM 2021 
  Access Paper or Ask Questions

VOLT: Improving Vocabularization via Optimal Transport for Machine Translation


Dec 31, 2020
Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li

Figure 1 for VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
Figure 2 for VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
Figure 3 for VOLT: Improving Vocabularization via Optimal Transport for Machine Translation
Figure 4 for VOLT: Improving Vocabularization via Optimal Transport for Machine Translation

  Access Paper or Ask Questions

An Analysis of Scatter Characteristics in X-ray CT Spectral Correction


Dec 30, 2020
Tao Zhang, Zhiqiang Chen, Hao Zhou, N. Robert Bennett, Adam S. Wang, Hewei Gao

Figure 1 for An Analysis of Scatter Characteristics in X-ray CT Spectral Correction
Figure 2 for An Analysis of Scatter Characteristics in X-ray CT Spectral Correction
Figure 3 for An Analysis of Scatter Characteristics in X-ray CT Spectral Correction
Figure 4 for An Analysis of Scatter Characteristics in X-ray CT Spectral Correction

  Access Paper or Ask Questions

LOREN: Logic Enhanced Neural Reasoning for Fact Verification


Dec 25, 2020
Jiangjie Chen, Qiaoben Bao, Jiaze Chen, Changzhi Sun, Hao Zhou, Yanghua Xiao, Lei Li

Figure 1 for LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Figure 2 for LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Figure 3 for LOREN: Logic Enhanced Neural Reasoning for Fact Verification
Figure 4 for LOREN: Logic Enhanced Neural Reasoning for Fact Verification

  Access Paper or Ask Questions

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


Dec 25, 2020
Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

Figure 1 for Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
Figure 2 for Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
Figure 3 for Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing
Figure 4 for Comprehensive Graph-conditional Similarity Preserving Network for Unsupervised Cross-modal Hashing

  Access Paper or Ask Questions

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


Dec 20, 2020
Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

Figure 1 for Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Figure 2 for Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Figure 3 for Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
Figure 4 for Where, What, Whether: Multi-modal Learning Meets Pedestrian Detection
* This work is being revised. The updated version will be upload few months later 
  Access Paper or Ask Questions

Reciprocal Supervised Learning Improves Neural Machine Translation


Dec 05, 2020
Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li

Figure 1 for Reciprocal Supervised Learning Improves Neural Machine Translation
Figure 2 for Reciprocal Supervised Learning Improves Neural Machine Translation
Figure 3 for Reciprocal Supervised Learning Improves Neural Machine Translation
Figure 4 for Reciprocal Supervised Learning Improves Neural Machine Translation

  Access Paper or Ask Questions

CPM: A Large-scale Generative Chinese Pre-trained Language Model


Dec 01, 2020
Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun

Figure 1 for CPM: A Large-scale Generative Chinese Pre-trained Language Model
Figure 2 for CPM: A Large-scale Generative Chinese Pre-trained Language Model
Figure 3 for CPM: A Large-scale Generative Chinese Pre-trained Language Model
Figure 4 for CPM: A Large-scale Generative Chinese Pre-trained Language Model

  Access Paper or Ask Questions

On the Sentence Embeddings from Pre-trained Language Models


Nov 02, 2020
Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li

Figure 1 for On the Sentence Embeddings from Pre-trained Language Models
Figure 2 for On the Sentence Embeddings from Pre-trained Language Models
Figure 3 for On the Sentence Embeddings from Pre-trained Language Models
Figure 4 for On the Sentence Embeddings from Pre-trained Language Models
* EMNLP 2020 
  Access Paper or Ask Questions

NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions


Oct 24, 2020
Zhiyu Chen, Honglei Liu, Hu Xu, Seungwhan Moon, Hao Zhou, Bing Liu

Figure 1 for NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Figure 2 for NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Figure 3 for NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions
Figure 4 for NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated Distributions

  Access Paper or Ask Questions

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


Oct 18, 2020
Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li

Figure 1 for Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Figure 2 for Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Figure 3 for Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach
Figure 4 for Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach

  Access Paper or Ask Questions

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information


Oct 07, 2020
Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li

Figure 1 for Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
Figure 2 for Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
Figure 3 for Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
Figure 4 for Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information
* EMNLP 2020 
  Access Paper or Ask Questions

WeChat Neural Machine Translation Systems for WMT20


Oct 05, 2020
Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou

Figure 1 for WeChat Neural Machine Translation Systems for WMT20
Figure 2 for WeChat Neural Machine Translation Systems for WMT20
Figure 3 for WeChat Neural Machine Translation Systems for WMT20
Figure 4 for WeChat Neural Machine Translation Systems for WMT20
* Accepted at WMT 2020. Our Chinese to English system achieved the highest case-sensitive BLEU score among all submissions 
  Access Paper or Ask Questions

SDST: Successive Decoding for Speech-to-text Translation


Sep 21, 2020
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

Figure 1 for SDST: Successive Decoding for Speech-to-text Translation
Figure 2 for SDST: Successive Decoding for Speech-to-text Translation
Figure 3 for SDST: Successive Decoding for Speech-to-text Translation
Figure 4 for SDST: Successive Decoding for Speech-to-text Translation

  Access Paper or Ask Questions

TED: Triple Supervision Decouples End-to-end Speech-to-text Translation


Sep 21, 2020
Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li

Figure 1 for TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
Figure 2 for TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
Figure 3 for TED: Triple Supervision Decouples End-to-end Speech-to-text Translation
Figure 4 for TED: Triple Supervision Decouples End-to-end Speech-to-text Translation

  Access Paper or Ask Questions

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


Aug 21, 2020
Jorge Laval, Hao Zhou

Figure 1 for Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Figure 2 for Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Figure 3 for Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
Figure 4 for Congested Urban Networks Tend to Be Insensitive to Signal Settings: Implications for Learning-Based Control
* arXiv admin note: substantial text overlap with arXiv:1908.02673 
  Access Paper or Ask Questions

Glancing Transformer for Non-Autoregressive Neural Machine Translation


Aug 18, 2020
Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li

Figure 1 for Glancing Transformer for Non-Autoregressive Neural Machine Translation
Figure 2 for Glancing Transformer for Non-Autoregressive Neural Machine Translation
Figure 3 for Glancing Transformer for Non-Autoregressive Neural Machine Translation
Figure 4 for Glancing Transformer for Non-Autoregressive Neural Machine Translation
* 11 pages, 3 figures, 4 tables 
  Access Paper or Ask Questions

Generating Fluent Adversarial Examples for Natural Languages


Jul 13, 2020
Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li

Figure 1 for Generating Fluent Adversarial Examples for Natural Languages
Figure 2 for Generating Fluent Adversarial Examples for Natural Languages
Figure 3 for Generating Fluent Adversarial Examples for Natural Languages
Figure 4 for Generating Fluent Adversarial Examples for Natural Languages
* Accepted by ACL 2019 
  Access Paper or Ask Questions

Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods


Jul 13, 2020
Ning Miao, Yuxuan Song, Hao Zhou, Lei Li

Figure 1 for Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
Figure 2 for Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
Figure 3 for Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
Figure 4 for Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods
* Accepted by ACL 2020 
  Access Paper or Ask Questions

Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation


Jul 12, 2020
Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li

Figure 1 for Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Figure 2 for Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Figure 3 for Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
Figure 4 for Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation
* Accepted to International Conference on Artificial Intelligence and Statistics 2020 
  Access Paper or Ask Questions

Xiaomingbot: A Multilingual Robot News Reporter


Jul 12, 2020
Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li

Figure 1 for Xiaomingbot: A Multilingual Robot News Reporter
Figure 2 for Xiaomingbot: A Multilingual Robot News Reporter
Figure 3 for Xiaomingbot: A Multilingual Robot News Reporter
Figure 4 for Xiaomingbot: A Multilingual Robot News Reporter
* Accepted to ACL 2020 - system demonstration 
  Access Paper or Ask Questions

ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization


Jun 12, 2020
Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li

Figure 1 for ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Figure 2 for ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Figure 3 for ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
Figure 4 for ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization
* 25 pages, 4 figures 
  Access Paper or Ask Questions

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


Jun 12, 2020
Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li

Figure 1 for Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Figure 2 for Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Figure 3 for Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
Figure 4 for Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs
* 25 pages, 3 figures, 2 tables 
  Access Paper or Ask Questions

SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation


Jun 07, 2020
Koutilya PNVR, Hao Zhou, David Jacobs

Figure 1 for SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Figure 2 for SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Figure 3 for SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
Figure 4 for SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation
* Accepted to CVPR 2020. Supplementary material added towards the end instead of a separate file. A Github link to the code is also provided in this submission 
  Access Paper or Ask Questions

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


May 29, 2020
Yuanfei Luo, Hao Zhou, Weiwei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang

Figure 1 for Network On Network for Tabular Data Classification in Real-world Applications
Figure 2 for Network On Network for Tabular Data Classification in Real-world Applications
Figure 3 for Network On Network for Tabular Data Classification in Real-world Applications
Figure 4 for Network On Network for Tabular Data Classification in Real-world Applications

  Access Paper or Ask Questions