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RoboAssembly: Learning Generalizable Furniture Assembly Policy in a Novel Multi-robot Contact-rich Simulation Environment

Dec 19, 2021
Mingxin Yu, Lin Shao, Zhehuan Chen, Tianhao Wu, Qingnan Fan, Kaichun Mo, Hao Dong

* Submitted to IEEE International Conference on Robotics and Automation (ICRA) 2022 

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Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information

Dec 10, 2021
Jiahao Huang, Weiping Ding, Jun Lv, Jingwen Yang, Hao Dong, Javier Del Ser, Jun Xia, Tiaojuan Ren, Stephen Wong, Guang Yang

* 33 pages, 13 figures, Applied Intelligence 

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AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-shot Interactions

Dec 01, 2021
Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas Guibas, Hao Dong

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Fast and Flexible Human Pose Estimation with HyperPose

Aug 26, 2021
Yixiao Guo, Jiawei Liu, Guo Li, Luo Mai, Hao Dong

* 4 pages, 1 figure. To be published in ACM Multimedia 

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Online Range Image-based Pole Extractor for Long-term LiDAR Localization in Urban Environments

Aug 19, 2021
Hao Dong, Xieyuanli Chen, Cyrill Stachniss

* Accepted by ECMR 2021 

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Dynamic Balancing of Humanoid Robot Walker3 with Proprioceptive Actuation: Systematic Design of Algorithm, Software and Hardware

Aug 09, 2021
Yan Xie, Jiajun Wang, Hao Dong, Xiaoyu Ren, Liqun Huang, Mingguo Zhao

* journal 

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Contrastive Multimodal Fusion with TupleInfoNCE

Jul 06, 2021
Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas Funkhouser, Li Yi

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VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects

Jun 28, 2021
Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas Guibas, Hao Dong

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Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning

Apr 19, 2021
Jie Ren, Yewen Li, Zihan Ding, Wei Pan, Hao Dong

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Product semantics translation from brain activity via adversarial learning

Mar 29, 2021
Pan Wang, Zhifeng Gong, Shuo Wang, Hao Dong, Jialu Fan, Ling Li, Peter Childs, Yike Guo

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Robotic Visuomotor Control with Unsupervised Forward Model Learned from Videos

Mar 07, 2021
Haoqi Yuan, Ruihai Wu, Andrew Zhao, Haipeng Zhang, Zihan Ding, Hao Dong

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LightCAKE: A Lightweight Framework for Context-Aware Knowledge Graph Embedding

Mar 04, 2021
Zhiyuan Ning, Ziyue Qiao, Hao Dong, Yi Du, Yuanchun Zhou

* Accepted by PAKDD 2021 

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P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding

Dec 24, 2020
Yunze Liu, Li Yi, Shanghang Zhang, Qingnan Fan, Thomas Funkhouser, Hao Dong

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End-to-End Object Detection with Adaptive Clustering Transformer

Nov 18, 2020
Minghang Zheng, Peng Gao, Xiaogang Wang, Hongsheng Li, Hao Dong

* technique report 

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Bilateral Asymmetry Guided Counterfactual Generating Network for Mammogram Classification

Sep 30, 2020
Chu-ran Wang, Jing Li, Fandong Zhang, Xinwei Sun, Hao Dong, Yizhou Yu, Yizhou Wang

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The DongNiao International Birds 10000 Dataset

Sep 21, 2020
Jian Mei, Hao Dong

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Lyapunov-Based Reinforcement Learning for Decentralized Multi-Agent Control

Sep 20, 2020
Qingrui Zhang, Hao Dong, Wei Pan

* Accepted to The 2nd International Conference on Distributed Artificial Intelligence 

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RLzoo: A Comprehensive and Adaptive Reinforcement Learning Library

Sep 18, 2020
Zihan Ding, Tianyang Yu, Yanhua Huang, Hongming Zhang, Luo Mai, Hao Dong

* Paper under submission at Journal of Machine Learning Research-Open Source Software 

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Generative 3D Part Assembly via Dynamic Graph Learning

Jun 14, 2020
Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong

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Role-Wise Data Augmentation for Knowledge Distillation

Apr 19, 2020
Jie Fu, Xue Geng, Zhijian Duan, Bohan Zhuang, Xingdi Yuan, Adam Trischler, Jie Lin, Chris Pal, Hao Dong

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Unpaired Image-to-Image Translation using Adversarial Consistency Loss

Mar 10, 2020
Yihao Zhao, Ruihai Wu, Hao Dong

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DLGAN: Disentangling Label-Specific Fine-Grained Features for Image Manipulation

Nov 22, 2019
Guanqi Zhan, Yihao Zhao, Bingchan Zhao, Haoqi Yuan, Baoquan Chen, Hao Dong

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Gear Training: A new way to implement high-performance model-parallel training

Jun 11, 2018
Hao Dong, Shuai Li, Dongchang Xu, Yi Ren, Di Zhang

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Generative Creativity: Adversarial Learning for Bionic Design

May 19, 2018
Simiao Yu, Hao Dong, Pan Wang, Chao Wu, Yike Guo

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Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security

Nov 20, 2017
Hao Dong, Chao Wu, Zhen Wei, Yike Guo

* IEEE Trans. Information Forensics and Security (TIFS) 

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DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

Aug 03, 2017
Akara Supratak, Hao Dong, Chao Wu, Yike Guo

* This article has been published in IEEE Transactions on Neural Systems and Rehabilitation Engineering 

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Mixed Neural Network Approach for Temporal Sleep Stage Classification

Aug 03, 2017
Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M. Matthews, Yike Guo


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TensorLayer: A Versatile Library for Efficient Deep Learning Development

Aug 03, 2017
Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo

* ACM Multimedia 2017 

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Semantic Image Synthesis via Adversarial Learning

Jul 21, 2017
Hao Dong, Simiao Yu, Chao Wu, Yike Guo

* Accepted to ICCV 2017 

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