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 Wu

Hao Wu

Member, IEEE

Collaborative Label Correction via Entropy Thresholding


Mar 31, 2021
Hao Wu, Jiaochao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang

Figure 1 for Collaborative Label Correction via Entropy Thresholding
Figure 2 for Collaborative Label Correction via Entropy Thresholding
Figure 3 for Collaborative Label Correction via Entropy Thresholding
Figure 4 for Collaborative Label Correction via Entropy Thresholding
* ICDM 2019 
  Access Paper or Ask Questions

XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning


Mar 30, 2021
Yuxin Jiang, Ziyi Shou, Qijun Wang, Hao Wu, Fangzhen Lin

Figure 1 for XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
Figure 2 for XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
Figure 3 for XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
Figure 4 for XRJL-HKUST at SemEval-2021 Task 4: WordNet-Enhanced Dual Multi-head Co-Attention for Reading Comprehension of Abstract Meaning
* 6 pages, 5 figures, SemEval-2021 Workshop, ACL-IJCNLP 2021 
  Access Paper or Ask Questions

Learning Proposals for Probabilistic Programs with Inference Combinators


Mar 03, 2021
Sam Stites, Heiko Zimmermann, Hao Wu, Eli Sennesh, Jan-Willem van de Meent

Figure 1 for Learning Proposals for Probabilistic Programs with Inference Combinators
Figure 2 for Learning Proposals for Probabilistic Programs with Inference Combinators
Figure 3 for Learning Proposals for Probabilistic Programs with Inference Combinators
Figure 4 for Learning Proposals for Probabilistic Programs with Inference Combinators

  Access Paper or Ask Questions

Learning the Best Pooling Strategy for Visual Semantic Embedding


Nov 09, 2020
Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang

Figure 1 for Learning the Best Pooling Strategy for Visual Semantic Embedding
Figure 2 for Learning the Best Pooling Strategy for Visual Semantic Embedding
Figure 3 for Learning the Best Pooling Strategy for Visual Semantic Embedding
Figure 4 for Learning the Best Pooling Strategy for Visual Semantic Embedding

  Access Paper or Ask Questions

Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features


Nov 03, 2020
Guoliang Liu, Qinghui Zhang, Yichao Cao, Junwei Li, Hao Wu, Guohui Tian

Figure 1 for Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Figure 2 for Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Figure 3 for Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features
Figure 4 for Memory Group Sampling Based Online Action Recognition Using Kinetic Skeleton Features

  Access Paper or Ask Questions

Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction


Oct 14, 2020
Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang

Figure 1 for Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Figure 2 for Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Figure 3 for Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
Figure 4 for Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction
* 12 pages, 2 figures, 6 tables, accepted as long paper by EMNLP2020 
  Access Paper or Ask Questions

A Relaxed Matching Procedure for Unsupervised BLI


Oct 14, 2020
Xu Zhao, Zihao Wang, Hao Wu, Yong Zhang

Figure 1 for A Relaxed Matching Procedure for Unsupervised BLI
Figure 2 for A Relaxed Matching Procedure for Unsupervised BLI
Figure 3 for A Relaxed Matching Procedure for Unsupervised BLI
* 6 pages,1 figures, accepted as short paper by ACL2020 
  Access Paper or Ask Questions

DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors


Jun 25, 2020
Wenbin Gao, Lei Zhang, Qi Teng, Hao Wu, Fuhong Min, Jun He

Figure 1 for DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Figure 2 for DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Figure 3 for DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors
Figure 4 for DanHAR: Dual Attention Network For Multimodal Human Activity Recognition Using Wearable Sensors

  Access Paper or Ask Questions

Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices


Jun 13, 2020
Xin Cheng, Lei Zhang, Yin Tang, Yue Liu, Hao Wu, Jun He

Figure 1 for Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Figure 2 for Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Figure 3 for Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
Figure 4 for Real-time Human Activity Recognition Using Conditionally Parametrized Convolutions on Mobile and Wearable Devices
* 10 pages,14 figures 
  Access Paper or Ask Questions

Response to LiveBot: Generating Live Video Comments Based on Visual and Textual Contexts


Jun 04, 2020
Hao Wu, Gareth J. F. Jones, Francois Pitie

* 4 pages, 2 figures 
  Access Paper or Ask Questions

Modeling nanoconfinement effects using active learning


May 07, 2020
Javier E. Santos, Mohammed Mehana, Hao Wu, Masa Prodanovic, Michael J. Pyrcz, Qinjun Kang, Nicholas Lubbers, Hari Viswanathan

Figure 1 for Modeling nanoconfinement effects using active learning
Figure 2 for Modeling nanoconfinement effects using active learning
Figure 3 for Modeling nanoconfinement effects using active learning
Figure 4 for Modeling nanoconfinement effects using active learning
* Full paper 
  Access Paper or Ask Questions

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions


May 01, 2020
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth

Figure 1 for TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Figure 2 for TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Figure 3 for TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
Figure 4 for TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions
* 15 pages (incl. 4 pages in the appendix) 
  Access Paper or Ask Questions

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation


Apr 20, 2020
Hao Wu, Patrick Judd, Xiaojie Zhang, Mikhail Isaev, Paulius Micikevicius

Figure 1 for Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Figure 2 for Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Figure 3 for Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
Figure 4 for Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation
* 20 pages, 7 figures 
  Access Paper or Ask Questions

Masked Face Recognition Dataset and Application


Mar 23, 2020
Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Zhangyang Xiong, Qi Hong, Hao Wu, Peng Yi, Kui Jiang, Nanxi Wang, Yingjiao Pei, Heling Chen, Yu Miao, Zhibing Huang, Jinbi Liang

Figure 1 for Masked Face Recognition Dataset and Application
Figure 2 for Masked Face Recognition Dataset and Application

  Access Paper or Ask Questions

Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN


Mar 03, 2020
Hao Wu, Jan Paul Siebert

Figure 1 for Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN
Figure 2 for Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN
Figure 3 for Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN
Figure 4 for Fully Convolutional Networks for Automatically Generating Image Masks to Train Mask R-CNN

  Access Paper or Ask Questions

Stochastic Normalizing Flows


Feb 19, 2020
Hao Wu, Jonas Köhler, Frank Noé

Figure 1 for Stochastic Normalizing Flows
Figure 2 for Stochastic Normalizing Flows
Figure 3 for Stochastic Normalizing Flows
Figure 4 for Stochastic Normalizing Flows

  Access Paper or Ask Questions

DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories


Feb 17, 2020
Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang

Figure 1 for DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Figure 2 for DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Figure 3 for DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
Figure 4 for DeepDualMapper: A Gated Fusion Network for Automatic Map Extraction using Aerial Images and Trajectories
* 7 pages, AAAI 2020 accepted paper 
  Access Paper or Ask Questions

Structural-Aware Sentence Similarity with Recursive Optimal Transport


Jan 28, 2020
Zihao Wang, Yong Zhang, Hao Wu

Figure 1 for Structural-Aware Sentence Similarity with Recursive Optimal Transport
Figure 2 for Structural-Aware Sentence Similarity with Recursive Optimal Transport
Figure 3 for Structural-Aware Sentence Similarity with Recursive Optimal Transport
Figure 4 for Structural-Aware Sentence Similarity with Recursive Optimal Transport
* 7 pages, 2 figures 
  Access Paper or Ask Questions

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning


Jan 03, 2020
Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang

Figure 1 for Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Figure 2 for Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Figure 3 for Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Figure 4 for Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
* accepted as a conference paper by AAAI-2020 
  Access Paper or Ask Questions

Structured Multi-Hashing for Model Compression


Nov 25, 2019
Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon, Yerlan Idelbayev, Miguel A. Carreira-Perpinan

Figure 1 for Structured Multi-Hashing for Model Compression
Figure 2 for Structured Multi-Hashing for Model Compression
Figure 3 for Structured Multi-Hashing for Model Compression
Figure 4 for Structured Multi-Hashing for Model Compression
* Elad and Yair contributed equally to the paper. They jointly proposed the idea of structured-multi-hashing. Elad: Wrote most of the code and ran most of the experiments Yair: Main contributor to the manuscript Hao: Coding and experiments Yerlan: Coding and experiments Miguel: advised Yerlan about optimization and model compression Mark:experiments Andrew: experiments 
  Access Paper or Ask Questions

Amortized Population Gibbs Samplers with Neural Sufficient Statistics


Nov 04, 2019
Hao Wu, Heiko Zimmermann, Eli Sennesh, Tuan Anh Le, Jan-Willem van de Meent

Figure 1 for Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Figure 2 for Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Figure 3 for Amortized Population Gibbs Samplers with Neural Sufficient Statistics
Figure 4 for Amortized Population Gibbs Samplers with Neural Sufficient Statistics

  Access Paper or Ask Questions

Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds


Aug 29, 2019
John P. Lalor, Hao Wu, Hong Yu

Figure 1 for Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Figure 2 for Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Figure 3 for Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
Figure 4 for Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds
* EMNLP 2019 
  Access Paper or Ask Questions

An encoding framework with brain inner state for natural image identification


Aug 22, 2019
Hao Wu, Ziyu Zhu, Jiayi Wang, Nanning Zheng, Badong Chen

Figure 1 for An encoding framework with brain inner state for natural image identification
Figure 2 for An encoding framework with brain inner state for natural image identification
Figure 3 for An encoding framework with brain inner state for natural image identification
Figure 4 for An encoding framework with brain inner state for natural image identification

  Access Paper or Ask Questions

Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes


Aug 14, 2019
Hao Yang, Hao Wu, Hao Chen

Figure 1 for Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Figure 2 for Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Figure 3 for Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
Figure 4 for Detecting 11K Classes: Large Scale Object Detection without Fine-Grained Bounding Boxes
* Accepted to ICCV 2019 
  Access Paper or Ask Questions

Learning to Reconstruct and Understand Indoor Scenes from Sparse Views


Jun 19, 2019
Jingyu Yang, Ji Xu, Kun Li, Yu-Kun Lai, Huanjing Yue, Jianzhi Lu, Hao Wu, Yebin Liu

Figure 1 for Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Figure 2 for Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Figure 3 for Learning to Reconstruct and Understand Indoor Scenes from Sparse Views
Figure 4 for Learning to Reconstruct and Understand Indoor Scenes from Sparse Views

  Access Paper or Ask Questions

Joint Reasoning for Temporal and Causal Relations


Jun 12, 2019
Qiang Ning, Zhili Feng, Hao Wu, Dan Roth

Figure 1 for Joint Reasoning for Temporal and Causal Relations
Figure 2 for Joint Reasoning for Temporal and Causal Relations
Figure 3 for Joint Reasoning for Temporal and Causal Relations
Figure 4 for Joint Reasoning for Temporal and Causal Relations
* Long paper appeared in ACL'18. 11 pages and 1 figure 
  Access Paper or Ask Questions

Discriminative adversarial networks for positive-unlabeled learning


Jun 06, 2019
Fangqing Liu, Hui Chen, Liyue Zhao, Hao Wu

Figure 1 for Discriminative adversarial networks for positive-unlabeled learning
Figure 2 for Discriminative adversarial networks for positive-unlabeled learning
Figure 3 for Discriminative adversarial networks for positive-unlabeled learning
Figure 4 for Discriminative adversarial networks for positive-unlabeled learning

  Access Paper or Ask Questions

Adaptive Learning Material Recommendation in Online Language Education


May 26, 2019
Shuhan Wang, Hao Wu, Ji Hun Kim, Erik Andersen

Figure 1 for Adaptive Learning Material Recommendation in Online Language Education
Figure 2 for Adaptive Learning Material Recommendation in Online Language Education
Figure 3 for Adaptive Learning Material Recommendation in Online Language Education
Figure 4 for Adaptive Learning Material Recommendation in Online Language Education
* The 20th International Conference on Artificial Intelligence in Education (AIED), 2019 
 * The short version of this paper is published at AIED 2019 
  Access Paper or Ask Questions