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A Meta Reinforcement Learning-based Approach for Self-Adaptive System


May 11, 2021
Mingyue Zhang, Jialong Li, Haiyan Zhao, Kenji Tei, Shinichi Honiden, Zhi Jin

* 11 pages, 2nd IEEE International Conference on Autonomic Computing and Self-Organizing Systems - ACSOS 2021 

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Massive Self-Assembly in Grid Environments


Feb 23, 2021
Wenjie Chu, Wei Zhang, Haiyan Zhao, Zhi Jin, Hong Mei

* 37 pages, 11 figures 

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Learning to Represent Programs with Heterogeneous Graphs


Dec 08, 2020
Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin


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Retrieve and Refine: Exemplar-based Neural Comment Generation


Oct 09, 2020
Bolin Wei, Yongmin Li, Ge Li, Xin Xia, Zhi Jin

* to be published in the 35th IEEE/ACM International Conference on Automated Software Engineering (ASE 2020) (ASE'20) 

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Towards Full-line Code Completion with Neural Language Models


Sep 18, 2020
Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin


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NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results


May 03, 2020
Kai Zhang, Shuhang Gu, Radu Timofte, Taizhang Shang, Qiuju Dai, Shengchen Zhu, Tong Yang, Yandong Guo, Younghyun Jo, Sejong Yang, Seon Joo Kim, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Jing Liu, Kwangjin Yoon, Taegyun Jeon, Kazutoshi Akita, Takeru Ooba, Norimichi Ukita, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Dongliang He, Wenhao Wu, Yukang Ding, Chao Li, Fu Li, Shilei Wen, Jianwei Li, Fuzhi Yang, Huan Yang, Jianlong Fu, Byung-Hoon Kim, JaeHyun Baek, Jong Chul Ye, Yuchen Fan, Thomas S. Huang, Junyeop Lee, Bokyeung Lee, Jungki Min, Gwantae Kim, Kanghyu Lee, Jaihyun Park, Mykola Mykhailych, Haoyu Zhong, Yukai Shi, Xiaojun Yang, Zhijing Yang, Liang Lin, Tongtong Zhao, Jinjia Peng, Huibing Wang, Zhi Jin, Jiahao Wu, Yifu Chen, Chenming Shang, Huanrong Zhang, Jeongki Min, Hrishikesh P S, Densen Puthussery, Jiji C V

* CVPRW 2020 

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Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree


Feb 20, 2020
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin

* Accepted by SANER 2020 

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Code Generation as a Dual Task of Code Summarization


Oct 14, 2019
Bolin Wei, Ge Li, Xin Xia, Zhiyi Fu, Zhi Jin

* To appear at the 33rd Conference on Neural Information Processing Systems (NeurIPS) 2019 

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A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning


Oct 12, 2019
Fang Liu, Ge Li, Bolin Wei, Xin Xia, Ming Li, Zhiyi Fu, Zhi Jin

* There are some errors on Table 3, we need some time to get the correct values 

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Solving Pictorial Jigsaw Puzzle by Stigmergy-inspired Internet-based Human Collective Intelligence


Dec 11, 2018
Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Yanhong Wu


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Hierarchical RNN with Static Sentence-Level Attention for Text-Based Speaker Change Detection


Sep 28, 2018
Zhao Meng, Lili Mou, Zhi Jin

* In Proceedings of the ACM on Conference on Information and Knowledge Management (CIKM), 2017 

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Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models


Sep 28, 2018
Zhao Meng, Lili Mou, Zhi Jin

* In Proceedings of the Language Resources and Evaluation Conference (LREC), 2018 

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Compression of phase-only holograms with JPEG standard and deep learning


Jun 11, 2018
Shuming Jiao, Zhi Jin, Chenliang Chang, Changyuan Zhou, Wenbin Zou, Xia Li


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Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation


Dec 06, 2017
Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin


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Coupling Distributed and Symbolic Execution for Natural Language Queries


Jun 16, 2017
Lili Mou, Zhengdong Lu, Hang Li, Zhi Jin

* Accepted by ICML-17; also presented at ICLR-17 Workshop 

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How Transferable are Neural Networks in NLP Applications?


Oct 13, 2016
Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin

* Accepted by EMNLP-16 

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Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation


Oct 13, 2016
Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin

* Accepted by COLING 

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Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation


Oct 13, 2016
Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

* Accepted by COLING-16 

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Compressing Neural Language Models by Sparse Word Representations


Oct 13, 2016
Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin

* ACL-16, pages 226--235 

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Improved Knowledge Base Completion by Path-Augmented TransR Model


Oct 06, 2016
Wenhao Huang, Ge Li, Zhi Jin


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Distilling Word Embeddings: An Encoding Approach


Jul 24, 2016
Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin

* Accepted by CIKM-16 as a short paper, and by the Representation Learning for Natural Language Processing (RL4NLP) Workshop @ACL-16 for presentation 

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Natural Language Inference by Tree-Based Convolution and Heuristic Matching


May 13, 2016
Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin

* Accepted by ACL'16 as a short paper 

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Backward and Forward Language Modeling for Constrained Sentence Generation


Jan 03, 2016
Lili Mou, Rui Yan, Ge Li, Lu Zhang, Zhi Jin


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Convolutional Neural Networks over Tree Structures for Programming Language Processing


Dec 08, 2015
Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin

* Accepted at AAAI-16 

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On End-to-End Program Generation from User Intention by Deep Neural Networks


Oct 25, 2015
Lili Mou, Rui Men, Ge Li, Lu Zhang, Zhi Jin

* Submitted to 2016 International Conference of Software Engineering "Vision of 2025 and Beyond" track 

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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks


Aug 15, 2015
Hao Peng, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu, Zhi Jin

* EMNLP '15 

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Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path


Aug 15, 2015
Xu Yan, Lili Mou, Ge Li, Yunchuan Chen, Hao Peng, Zhi Jin

* EMNLP '15 

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Discriminative Neural Sentence Modeling by Tree-Based Convolution


Jun 02, 2015
Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin


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