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Zhe Liu
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds

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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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

* 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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Fast classification of small X-ray diffraction datasets using data augmentation and deep neural networks

Nov 20, 2018
Felipe Oviedo, Zekun Ren, Shijing Sun, Charlie Settens, Zhe Liu, Noor Titan Putri Hartono, Ramasamy Savitha, Brian L. DeCost, Siyu I. P. Tian, Giuseppe Romano, Aaron Gilad Kusne, Tonio Buonassisi

* NIPS 2018 Workshop: Machine Learning for Molecules and Materials 
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Characterizing machine learning process: A maturity framework

Nov 12, 2018
Rama Akkiraju, Vibha Sinha, Anbang Xu, Jalal Mahmud, Pritam Gundecha, Zhe Liu, Xiaotong Liu, John Schumacher

* 10 pages, 1 figure, 1 table 
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Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks

Apr 17, 2017
Zhe Liu, Anbang Xu, Mengdi Zhang, Jalal Mahmud, Vibha Sinha


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See the Near Future: A Short-Term Predictive Methodology to Traffic Load in ITS

Jan 08, 2017
Xun Zhou, Changle Li, Zhe Liu, Tom H. Luan, Zhifang Miao, Lina Zhu, Lei Xiong


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Graphical Exponential Screening

Jul 03, 2016
Zhe Liu


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Learning Nonparametric Forest Graphical Models with Prior Information

May 25, 2016
Yuancheng Zhu, Zhe Liu, Siqi Sun


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An Aggregation Method for Sparse Logistic Regression

Feb 11, 2015
Zhe Liu


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