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Collaborative Label Correction via Entropy Thresholding


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

* ICDM 2019 

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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

* 6 pages, 5 figures, SemEval-2021 Workshop, ACL-IJCNLP 2021 

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Learning Proposals for Probabilistic Programs with Inference Combinators


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


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Learning the Best Pooling Strategy for Visual Semantic Embedding


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


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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


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Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction


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

* 12 pages, 2 figures, 6 tables, accepted as long paper by EMNLP2020 

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A Relaxed Matching Procedure for Unsupervised BLI


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

* 6 pages,1 figures, accepted as short paper by ACL2020 

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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


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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

* 10 pages,14 figures 

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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 

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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

* Full paper 

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TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions


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

* 15 pages (incl. 4 pages in the appendix) 

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Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation


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

* 20 pages, 7 figures 

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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


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


Mar 03, 2020
Hao Wu, Jan Paul Siebert


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Stochastic Normalizing Flows


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


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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

* 7 pages, AAAI 2020 accepted paper 

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Structural-Aware Sentence Similarity with Recursive Optimal Transport


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

* 7 pages, 2 figures 

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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

* accepted as a conference paper by AAAI-2020 

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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

* 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 

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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


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


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

* EMNLP 2019 

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An encoding framework with brain inner state for natural image identification


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


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


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

* Accepted to ICCV 2019 

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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


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Joint Reasoning for Temporal and Causal Relations


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

* Long paper appeared in ACL'18. 11 pages and 1 figure 

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Discriminative adversarial networks for positive-unlabeled learning


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


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Adaptive Learning Material Recommendation in Online Language Education


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

* The 20th International Conference on Artificial Intelligence in Education (AIED), 2019 
* The short version of this paper is published at AIED 2019 

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