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The Logic Traps in Evaluating Post-hoc Interpretations


Sep 12, 2021
Yiming Ju, Yuanzhe Zhang, Zhao Yang, Zhongtao Jiang, Kang Liu, Jun Zhao


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Lifelong Intent Detection via Multi-Strategy Rebalancing


Aug 10, 2021
Qingbin Liu, Xiaoyan Yu, Shizhu He, Kang Liu, Jun Zhao


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Improving Event Causality Identification via Self-Supervised Representation Learning on External Causal Statement


Jun 03, 2021
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

* Accepted to Findings of ACL 2021 

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LearnDA: Learnable Knowledge-Guided Data Augmentation for Event Causality Identification


Jun 03, 2021
Xinyu Zuo, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao, Weihua Peng, Yuguang Chen

* Accepted to ACL 2021 

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Path-based knowledge reasoning with textual semantic information for medical knowledge graph completion


May 28, 2021
Yinyu Lan, Shizhu He, Xiangrong Zeng, Shengping Liu, Kang Liu, Jun Zhao


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Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction


Jan 08, 2021
Wei Zeng, Chengqiao Lin, Kang Liu, Juncong Lin, Anthony K. H. Tung


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Joint Entity and Relation Extraction with Set Prediction Networks


Nov 05, 2020
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, Xiangrong Zeng, Shengping Liu


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KnowDis: Knowledge Enhanced Data Augmentation for Event Causality Detection via Distant Supervision


Oct 21, 2020
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao

* COLING2020 
* Accepted to COLING2020 

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Pre-trained Language Model Based Active Learning for Sentence Matching


Oct 12, 2020
Guirong Bai, Shizhu He, Kang Liu, Jun Zhao, Zaiqing Nie

* Accepted by the conference of coling 2020 

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Towards Causal Explanation Detection with Pyramid Salient-Aware Network


Sep 24, 2020
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao

* Accepted to CCL2020 

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Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information


Sep 22, 2020
Xinyu Zuo, Yubo Chen, Kang Liu, Jun Zhao

* SCIENCE CHINA Information Sciences, Volume 62, Issue 11:212101(2019) 
* Published on SCIENCE CHINA Information Sciences 

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Subverting Privacy-Preserving GANs: Hiding Secrets in Sanitized Images


Sep 19, 2020
Kang Liu, Benjamin Tan, Siddharth Garg


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Distantly Supervised Relation Extraction in Federated Settings


Aug 12, 2020
Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao


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Connecting Embeddings for Knowledge Graph Entity Typing


Jul 21, 2020
Yu Zhao, Anxiang Zhang, Ruobing Xie, Kang Liu, Xiaojie Wang

* Association for Computational Linguistics, 2020, 6419--6428 

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RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding


Jul 11, 2020
Kang Liu, Feng Xue, Richang Hong


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Bias Busters: Robustifying DL-based Lithographic Hotspot Detectors Against Backdooring Attacks


Apr 26, 2020
Kang Liu, Benjamin Tan, Gaurav Rajavendra Reddy, Siddharth Garg, Yiorgos Makris, Ramesh Karri


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Knowledge Guided Metric Learning for Few-Shot Text Classification


Apr 04, 2020
Dianbo Sui, Yubo Chen, Binjie Mao, Delai Qiu, Kang Liu, Jun Zhao


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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA


Mar 09, 2020
Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin

* 21 pages, in Chinese, 9 figures and 17 tables, CCKS 2019 held an evaluation track about knowledge graph with 6 tasks and attracted more than 1,600 teams 

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NNoculation: Broad Spectrum and Targeted Treatment of Backdoored DNNs


Feb 19, 2020
Akshaj Kumar Veldanda, Kang Liu, Benjamin Tan, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Brendan Dolan-Gavitt, Siddharth Garg


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Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss


Oct 29, 2019
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

* Accepted to EMNLP 2019 

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Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots


Oct 29, 2019
Cao Liu, Kang Liu, Shizhu He, Zaiqing Nie, Jun Zhao

* Accepted to CoNLL 2019 

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Copy-Enhanced Heterogeneous Information Learning for Dialogue State Tracking


Aug 21, 2019
Qingbin Liu, Shizhu He, Kang Liu, Shengping Liu, Jun Zhao

* 12 pages, 4 figures 

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Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection


Jun 25, 2019
Kang Liu, Haoyu Yang, Yuzhe Ma, Benjamin Tan, Bei Yu, Evangeline F. Y. Young, Ramesh Karri, Siddharth Garg


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Patch alignment manifold matting


Apr 16, 2019
Xuelong Li, Kang Liu, Yongsheng Dong, Dacheng Tao

* IEEE Transactions on Neural Networks and Learning Systems, July, 2018 
* 13 pages, 7 figures 

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Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks


May 30, 2018
Kang Liu, Brendan Dolan-Gavitt, Siddharth Garg


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Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information


Jun 03, 2016
Yuanzhe Zhang, Kang Liu, Shizhu He, Guoliang Ji, Zhanyi Liu, Hua Wu, Jun Zhao


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How to Generate a Good Word Embedding?


Jul 20, 2015
Siwei Lai, Kang Liu, Liheng Xu, Jun Zhao


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