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When and Why does a Model Fail? A Human-in-the-loop Error Detection Framework for Sentiment Analysis


Jun 02, 2021
Zhe Liu, Yufan Guo, Jalal Mahmud

* NAACL2021 

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Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains


May 23, 2021
Qiaohao Liang, Aldair E. Gongora, Zekun Ren, Armi Tiihonen, Zhe Liu, Shijing Sun, James R. Deneault, Daniil Bash, Flore Mekki-Berrada, Saif A. Khan, Kedar Hippalgaonkar, Benji Maruyama, Keith A. Brown, John Fisher III, Tonio Buonassisi


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Accountable Error Characterization


May 10, 2021
Amita Misra, Zhe Liu, Jalal Mahmud

* Proceedings of the First Workshop on Trustworthy Natural Language Processing, [email protected] 2021, June 10, 2021, Association for Computational Linguistics, 2021 

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Attribute-Modulated Generative Meta Learning for Zero-Shot Classification


Apr 22, 2021
Yun Li, Zhe Liu, Lina Yao, Xianzhi Wang, Can Wang


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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

* 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

* 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

* 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

* 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

* 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

* 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

* 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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