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Zhe Liu

Task Aligned Generative Meta-learning for Zero-shot Learning


Mar 03, 2021
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Guodong Long

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GAKP: GRU Association and Kalman Prediction for Multiple Object Tracking


Dec 28, 2020
Zhen Li, Sunzeng Cai, Xiaoyi Wang, Zhe Liu, Nian Xue

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* 8 pages, 5 figures 
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Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences


Dec 20, 2020
Guangming Wang, Hanwen Liu, Muyao Chen, Yehui Yang, Zhe Liu, Hesheng Wang

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* 10 pages, 7 figures, under review 
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vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition


Dec 09, 2020
Zhijian Qiao, Hanjiang Hu, Siyuan Chen, Zhe Liu, Zhuowen Shen, Hesheng Wang

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ProMask: Probability Mask for Skeleton Detection


Dec 05, 2020
Xiuxiu Bai, Lele Ye, Zhe Liu

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PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization


Dec 02, 2020
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang

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* 9 pages, 8 figures 
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Federated Marginal Personalization for ASR Rescoring


Dec 01, 2020
Zhe Liu, Fuchun Peng

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Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds


Nov 27, 2020
Guangming Wang, Yehui Yang, Huixin Zhang, Zhe Liu, Hesheng Wang

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* 10 pages, 10 figures, under review 
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3D Invisible Cloak


Nov 27, 2020
Mingfu Xue, Can He, Zhiyu Wu, Jian Wang, Zhe Liu, Weiqiang Liu

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Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning


Nov 26, 2020
Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok

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* This work has been submitted to the IEEE Robotics and Automation Letters (RA-L) for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 
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Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers


Nov 24, 2020
Minjian Xin, Guangming Wang, Zhe Liu, Hesheng Wang

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* 7 pages, 5 figures, under review 
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Hierarchical Attention Learning of Scene Flow in 3D Point Clouds


Oct 12, 2020
Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang

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* 13 pages, 7 figures, under review 
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DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization


Oct 01, 2020
Hanjiang Hu, Ming Cheng, Zhe Liu, Hesheng Wang

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* Submitted to TIP 
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Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization


Sep 16, 2020
Hanjiang Hu, Hesheng Wang, Zhe Liu, Weidong Chen

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* Submitted to IEEE/CAA Journal of Automatica Sinica 
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EPNet: Enhancing Point Features with Image Semantics for 3D Object Detection


Jul 17, 2020
Tengteng Huang, Zhe Liu, Xiwu Chen, Xiang Bai

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* Accepted by ECCV2020 
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Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding


Jul 14, 2020
Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim

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Spectrum-Guided Adversarial Disparity Learning


Jul 14, 2020
Zhe Liu, Lina Yao, Lei Bai, Xianzhi Wang, Can Wang

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Agglomerative Neural Networks for Multi-view Clustering


May 12, 2020
Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie

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Mobile Robot Path Planning in Dynamic Environments through Globally Guided Reinforcement Learning


May 11, 2020
Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok

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Are You A Risk Taker? Adversarial Learning of Asymmetric Cross-Domain Alignment for Risk Tolerance Prediction


Apr 18, 2020
Zhe Liu, Lina Yao, Xianzhi Wang, Lei Bai, Jake An

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Statistical Testing on ASR Performance via Blockwise Bootstrap


Dec 19, 2019
Zhe Liu

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* 8 pages, 2 figures 
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TANet: Robust 3D Object Detection from Point Clouds with Triple Attention


Dec 11, 2019
Zhe Liu, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou, Xiang Bai

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* AAAI 2020(Oral) 
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Improving N-gram Language Models with Pre-trained Deep Transformer


Nov 22, 2019
Yiren Wang, Hongzhao Huang, Zhe Liu, Yutong Pang, Yongqiang Wang, ChengXiang Zhai, Fuchun Peng

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Teacher-Student Learning Paradigm for Tri-training: An Efficient Method for Unlabeled Data Exploitation


Sep 25, 2019
Yash Bhalgat, Zhe Liu, Pritam Gundecha, Jalal Mahmud, Amita Misra

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Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments


Sep 23, 2019
Hanjiang Hu, Hesheng Wang, Zhe Liu, Chenguang Yang, Weidong Chen, Le Xie

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* Accepted by 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) 
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Adversarial Representation Learning for Robust Patient-Independent Epileptic Seizure Detection


Sep 18, 2019
Xiang Zhang, Lina Yao, Manqing Dong, Zhe Liu, Yu Zhang, Yong Li

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Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles


Apr 30, 2019
Zhe Liu, Chuanzhe Suo, Shunbo Zhou, Wen Chen, Hesheng Wang, Yun-Hui Liu

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* 8 pages, 9 figures 
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Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications


Apr 02, 2019
Zhe Liu, Hesheng Wang, Shunbo Zhou, Yi Shen, Yun-Hui Liu

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* A preliminary version of this work has been accepted by ICRA 2019 
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3D Object Detection Using Scale Invariant and Feature Reweighting Networks


Jan 08, 2019
Xin Zhao, Zhe Liu, Ruolan Hu, Kaiqi Huang

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* The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 
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3D Point Cloud Learning for Large-scale Environment Analysis and Place Recognition


Dec 11, 2018
Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Yingtian Liu, Hesheng Wang, Yun-Hui Liu

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