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Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems


Nov 28, 2021
Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes

* accepted at ICON 2021: 18th International Conference on Natural Language Processing, Organized by NLP Association India 

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Multi-Modality Microscopy Image Style Transfer for Nuclei Segmentation


Nov 23, 2021
Ye Liu, Sophia J. Wagner, Tingying Peng

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images


Nov 22, 2021
Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Huanfeng Shen, Chang Wen Chen


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A Probit Tensor Factorization Model For Relational Learning


Nov 09, 2021
Ye Liu, Rui Song, Wenbin Lu, Yanghua Xiao

* 30 pages 

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Dense Hierarchical Retrieval for Open-Domain Question Answering


Oct 28, 2021
Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

* EMNLP 2021 Findings 

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HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization


Oct 19, 2021
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu

* EMNLP 2021 (short paper) 

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Adversarial Attacks on ML Defense Models Competition


Oct 15, 2021
Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, XiaoFeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen

* Competition Report 

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Empathetic Dialogue Generation with Pre-trained RoBERTa-GPT2 and External Knowledge


Sep 07, 2021
Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes

* accepted at International Workshop on Spoken Dialog System Technology (IWSDS) 2021 

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Naturalness Evaluation of Natural Language Generation in Task-oriented Dialogues using BERT


Sep 07, 2021
Ye Liu, Wolfgang Maier, Wolfgang Minker, Stefan Ultes

* accepted to RANLP 2021 

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From Synthetic to Real: Image Dehazing Collaborating with Unlabeled Real Data


Aug 06, 2021
Ye Liu, Lei Zhu, Shunda Pei, Huazhu Fu, Jing Qin, Qing Zhang, Liang Wan, Wei Feng

* 8 pages, 6 figures, ACMMM 2021 

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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection


Jun 08, 2021
Jian-Guo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu


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Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation


Jan 22, 2021
Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu

* 10 pages, Appear in EACL 2021 

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Knowledge-guided Open Attribute Value Extraction with Reinforcement Learning


Oct 19, 2020
Ye Liu, Sheng Zhang, Rui Song, Suo Feng, Yanghua Xiao

* EMNLP 2020 

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KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning


Sep 26, 2020
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu

* 9 pages, 7 figures 

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ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection


Sep 15, 2020
Ye Liu, Junsong Yuan, Chang Wen Chen

* Accepted to Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), Seattle, WA, USA 

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Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering


Aug 06, 2020
Ye Liu, Shaika Chowdhury, Chenwei Zhang, Cornelia Caragea, Philip S. Yu

* 10 pages, 6 figures 

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Commonsense Evidence Generation and Injection in Reading Comprehension


May 11, 2020
Ye Liu, Tao Yang, Zeyu You, Wei Fan, Philip S. Yu

* Accepted by SIGDIAL 2020 

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Fine-Grained Urban Flow Inference


Feb 05, 2020
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum

* 16 pages. arXiv admin note: substantial text overlap with arXiv:1902.05377 

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Orthogonal Nonnegative Tucker Decomposition


Oct 27, 2019
Junjun Pan, Michael K. Ng, Ye Liu, Xiongjun Zhang, Hong Yan


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Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System


Aug 27, 2019
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, Philip S. Yu

* CIKM 2019 

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Tucker Decomposition Network: Expressive Power and Comparison


May 23, 2019
Ye Liu, Junjun Pan, Michael Ng


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MMKG: Multi-Modal Knowledge Graphs


Mar 13, 2019
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

* ESWC 2019 

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UrbanFM: Inferring Fine-Grained Urban Flows


Feb 06, 2019
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng


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Automatic trajectory measurement of large numbers of crowded objects


Feb 03, 2019
Hui Li, Ye Liu, Yan Qiu Chen


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Product Title Refinement via Multi-Modal Generative Adversarial Learning


Nov 11, 2018
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu

* Workshop on Visually Grounded Interaction and Language, NIPS, 2018 

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