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Lu Wang

DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text Generation


Jun 01, 2021
Xinyu Hua, Ashwin Sreevatsa, Lu Wang

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* Accepted at ACL 2021. Project page: https://xinyuhua.github.io/Resources/acl21/ 
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TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning


May 17, 2021
Lu Wang, Xiaofu Chang, Shuang Li, Yunfei Chu, Hui Li, Wei Zhang, Xiaofeng He, Le Song, Jingren Zhou, Hongxia Yang

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Unsupervised Learning of Multi-level Structures for Anomaly Detection


Apr 25, 2021
Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li

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Efficient Attentions for Long Document Summarization


Apr 11, 2021
Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, Lu Wang

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* Accepted at NAACL 2021 as a long paper 
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Attention Head Masking for Inference Time Content Selection in Abstractive Summarization


Apr 06, 2021
Shuyang Cao, Lu Wang

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* Accepted at NAACL 2021 (short paper) 
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Inference Time Style Control for Summarization


Apr 05, 2021
Shuyang Cao, Lu Wang

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* Accepted at NAACL 2021 (short paper) 
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MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis


Mar 05, 2021
Lu Wang, Haoyan Jiang, Mark Chignell

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* 14 pages, 8 figures 
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Annotation-Efficient Learning for Medical Image Segmentation based on Noisy Pseudo Labels and Adversarial Learning


Dec 29, 2020
Lu Wang, Dong Guo, Guotai Wang, Shaoting Zhang

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* 13 pages, 15 figures 
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Adaptive Federated Learning and Digital Twin for Industrial Internet of Things


Nov 01, 2020
Wen Sun, Shiyu Lei, Lu Wang, Zhiqiang Liu, Yan Zhang

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PAIR: Planning and Iterative Refinement in Pre-trained Transformers for Long Text Generation


Oct 05, 2020
Xinyu Hua, Lu Wang

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* Accepted at EMNLP 2020 as a long paper 
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XREF: Entity Linking for Chinese News Comments with Supplementary Article Reference


Jun 24, 2020
Xinyu Hua, Lei Li, Lifeng Hua, Lu Wang

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* Accepted to AKBC2020, link to openreview: https://openreview.net/forum?id=1hLH6CKIjN 
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Vision-Based Fall Event Detection in Complex Background Using Attention Guided Bi-directional LSTM


Jun 24, 2020
Yong Chen, Lu Wang, Jiajia Hu, Mingbin Ye

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Provably Robust Metric Learning


Jun 12, 2020
Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

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Reducing the X-ray radiation exposure frequency in cardio-angiography via deep-learning based video interpolation


Jun 01, 2020
Xiao-Lei Yin, Dong-Xue Liang, Lu Wang, Jing Qiu, Zhi-Yun Yang, Jun-Hui Xing, Jian-Zeng Dong, Zhao-Yuan Ma

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Spanning Attack: Reinforce Black-box Attacks with Unlabeled Data


May 11, 2020
Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang

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Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward


May 03, 2020
Luyang Huang, Lingfei Wu, Lu Wang

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* Accepted as a long paper to ACL 2020 
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Coronary Artery Segmentation in Angiographic Videos Using A 3D-2D CE-Net


Mar 26, 2020
Lu Wang, Dong-xue Liang, Xiao-lei Yin, Jing Qiu, Zhi-yun Yang, Jun-hui Xing, Jian-zeng Dong, Zhao-yuan Ma

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Weakly-supervised 3D coronary artery reconstruction from two-view angiographic images


Mar 26, 2020
Lu Wang, Dong-xue Liang, Xiao-lei Yin, Jing Qiu, Zhi-yun Yang, Jun-hui Xing, Jian-zeng Dong, Zhao-yuan Ma

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Robust Medical Instrument Segmentation Challenge 2019


Mar 23, 2020
Tobias Ross, Annika Reinke, Peter M. Full, Martin Wagner, Hannes Kenngott, Martin Apitz, Hellena Hempe, Diana Mindroc Filimon, Patrick Scholz, Thuy Nuong Tran, Pierangela Bruno, Pablo Arbeláez, Gui-Bin Bian, Sebastian Bodenstedt, Jon Lindström Bolmgren, Laura Bravo-Sánchez, Hua-Bin Chen, Cristina González, Dong Guo, Pål Halvorsen, Pheng-Ann Heng, Enes Hosgor, Zeng-Guang Hou, Fabian Isensee, Debesh Jha, Tingting Jiang, Yueming Jin, Kadir Kirtac, Sabrina Kletz, Stefan Leger, Zhixuan Li, Klaus H. Maier-Hein, Zhen-Liang Ni, Michael A. Riegler, Klaus Schoeffmann, Ruohua Shi, Stefanie Speidel, Michael Stenzel, Isabell Twick, Gutai Wang, Jiacheng Wang, Liansheng Wang, Lu Wang, Yujie Zhang, Yan-Jie Zhou, Lei Zhu, Manuel Wiesenfarth, Annette Kopp-Schneider, Beat P. Müller-Stich, Lena Maier-Hein

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* A pre-print 
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Asymmetric Correlation Quantization Hashing for Cross-modal Retrieval


Jan 14, 2020
Lu Wang, Jie Yang

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* 12 pages 
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Cluster-wise Unsupervised Hashing for Cross-Modal Similarity Search


Nov 11, 2019
Lu Wang, Jie Yang

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* 11 pages, 25 figures 
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Infinite-horizon Off-Policy Policy Evaluation with Multiple Behavior Policies


Oct 10, 2019
Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

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* 16 pages 
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Learning Robust Representations with Graph Denoising Policy Network


Oct 04, 2019
Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen

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* 10 pages 
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In Plain Sight: Media Bias Through the Lens of Factual Reporting


Sep 05, 2019
Lisa Fan, Marshall White, Eva Sharma, Ruisi Su, Prafulla Kumar Choubey, Ruihong Huang, Lu Wang

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* To appear as a short paper in EMNLP 2019 
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An Entity-Driven Framework for Abstractive Summarization


Sep 04, 2019
Eva Sharma, Luyang Huang, Zhe Hu, Lu Wang

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* Proceedings of the 2019 Empirical Methods in Natural Language Processing Conference and 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP-2019) (19 pages) 
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Sentence-Level Content Planning and Style Specification for Neural Text Generation


Sep 02, 2019
Xinyu Hua, Lu Wang

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* Accepted as a long paper to EMNLP 2019 
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Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches


Jul 29, 2019
Lu Wang, Dongxiao Zhu

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* 18 pages, 2 figures 
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Label Aware Graph Convolutional Network -- Not All Edges Deserve Your Attention


Jul 10, 2019
Hao Chen, Lu Wang, Senzhang Wang, Dijun Luo, Wenbing Huang, Zhoujun Li

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Jointly Learning Semantic Parser and Natural Language Generator via Dual Information Maximization


Jun 13, 2019
Hai Ye, Wenjie Li, Lu Wang

* Accepted to ACL 2019 
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