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Jinsong Su

Introduction:

Jinsong Su, Associate Professor in School of Informatics, Xiamen University; received his PhD in Computer Science from the Institute of Computing Technology, China; research areas include natural language processing and social computing; published more than 60 research papers recently of which many were in famous conferences and journals such as TPAMI/AI/ACL/AAAI/IJCAI/EMNLP.


Education and Experience:  

2020/01-now, School of Informatics, Xiamen University, Associate Professor
2019/01-2019/12, Department of Computer Science, University of Rochester, Visiting Professor
2014/08-2018/12, Software School of Xiamen University, Associate Professor
2011/07-2014/07, Software School of Xiamen University, Assistant Professor
2007/09-2011/06, Chinese Academy of Sciences, Institute of Computing Technology, Doctor
2004/09-2007/06, Xiamen University, Software School,Master
2002/09-2004/06, Xiamen University, Software School,Bachelor
1999/09-2002/06, Xiamen University, Mathematical Department,Bachelor


Academic Services:  

Area Chair: NLPCC 2018 Chinese Track/Student Workshop    
                   EMNLP 2019 Machine Translation and Multilinguality Track    
PC Member: ACL (2013, 2016-2020)    
                    EMNLP (2015-2016, 2018-2019)    
                    IJCAI (2018-2020)    
                    AAAI (2019-2020)    
                    NAACL (2015, 2018)    
                    COLING (2018, 2020)    
                    IJCNLP (2013, 2017)    
                    NLPCC (2012-2019)    
Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence, ACM Transactions on Information Systems , IEEE Transactions on Neural Networks and Learning Systems, IEEE/ACM Transactions on Audio, Speech and Language Processing, IEEE Transactions on Fuzzy Systems, ACM Transactions on Asian and Low-Resource Language Information Processing, IEEE Transactions on Cognitive and Developmental Systems, Journal of the American Society for Information Science and Technology, Information Sciences, Pattern Recognition, Scientometrics, Natural Language Engineering, Knowledge-Based Systems, Science China Information Sciences, Journal of Visual Communication, Neurocomputing, Frontiers of Computer Science , Softcomputing, Pattern Recognition Letters, Future Generation Computer Systems, Concurrency and Computation: Practice and Experience, Chinese Journal of Computers, IEEE/CAA Journal of Automatica Sinica


Student:  

Biao Zhang (2015-2018), Master student -> The University of Edinburgh
Jing Yang (2016-2019), Master student -> PLA
Xiangwen Zhang (2016-2019), Master student -> Tencent
Yongjing Yin (2017-now), Master student
Jiali Zeng (2017-now), Master student
Qian Lin (2017-now), Master student
Ziyao Lu (2018-now), Master student
Junxuan Chen (2018-now), Master student


Project:   

(1) Principal Investigator, Research on Multi-level Text Embedding Representation Learning for Machine Translation, 2017-2020, National Science Foundation of China.
(2) Principal Investigator,  Research on Discourse Relation Recognition Based on Multi-view Learning, 2016-2019, National Science Foundation of Fujian Province.
(3) Principal Investigator, Research on Discourse Argument Recognition Based on Hierarchical Recurrent Neural Network, 2016-2018, Research Fund of the Key Laboratory for Intelligence Information Processing in the Institute of Computing Technology of the Chinese Academy of Sciences.
(4) Principal Investigator,  Research on Discourse Relation Recognition Based on Neural Network, 2016-2018, Research Fund of the Provincial Key Laboratory for Computer Information Processing Technology in Soochow University.
(5) Principal Investigator,  Research and Implementation of Chinese-Tibetan Statistical Machine Translation Based on Bilingual Correspondence Recursive Autoencoders, 2015-2016, CCF Opening Project of Chinese Information Processing.
(6) Principal Investigator,  Research and Implementation of Graph-based Statistical Machine Translation Model, 2015-2017, Research fund of the State Key Laboratory for Novel Software Technology in Nanjing University.
(7) Principal Investigator,  Research on Topic Model Based Pivot Language Approach for Statistical Machine Translation, 2013-2016, National Science Foundation of China.
(8) Principal Investigator,  Research on Statitical Machine Translation with Paraphrase Knowledge, 2012-2015, Research Fund for the Doctoral Program of Higher Education of China.

Publication:     

[66] Changxing Wu, Chaowen Hu, Ruochen Li, Hongyu Lin, Jinsong Su*. 2020. Hierarchical Multi-task Learning with CRF for Implicit Discourse Relation Recognition. To appear in Knowledge-Based Systems. (CCF-C,JCR-2)
[65] Qian Lin,Jing Yang,Xiangwen Zhang, Hongji Wang, Yaojie Lu, Jinsong Su*. 2020. Semantically Smooth Bilingual Phrase Embeddings Based on Recursive Autoencoders. To appear in Neural Processing Letters. (CCF-C,JCR-3)
[64] Biao Zhang, Deyi Xiong, Jun Xie and Jinsong Su*. 2019. Neural Machine Translation with GRU-Gated Attention Model. IEEE Transactions on Neural Networks and Learning Systems. (CCF-B,JCR-1)
[63] Yiyi Zhou, Rongrong Ji*, Xiaoshuai Sun, Jinsong Su, Deyu Meng, Yue Gao and Chunhua Shen. 2020. Plenty Is Plague: Fine-Grained Learning for Visual Question Answering. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A,JCR-1).
[62] Jiali Zeng+, Linfeng Song+, Jinsong Su*, Xie Jun, Wei Song and Jiebo Luo. 2020. Neural Simile Recognition with Cyclic Multitask Learning and Local Attention. In Proceedings of AAAI2020. (CCF-A).
[61] Yongjing Yin, Fandong Meng, Jinsong Su*, Yubin Ge, Linfeng Song, Jie Zhou and Jiebo Luo. 2020. Enhancing Pointer Network for Sentence Ordering with Pairwise Ordering Predictions. In Proceedings of AAAI2020. (CCF-A).
[60] Kai Liu+, Xin Liu+, An Yang, Jing Liu, Jinsong Su, Sujian Li and Qiaoqiao She. 2020. A Robust Adversarial Training Approach to Machine Reading Comprehension. In Proceedings of AAAI2020. (CCF-A).
[59] Jinsong Su+, Jiali Zeng+, Jun Xie, Huating Wen, Yongjing Yin and Yang Liu*. 2019. Exploring Discriminative Word-Level Domain Contexts for Multi-domain Neural Machine Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A,JCR-1).
[58] Biao Zhang, Deyi Xiong, Jinsong Su* and Jiebo Luo. 2019. Future-Aware Knowledge Distillation for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B,JCR-3)
[57] Changxing Wu, Jinsong Su, Yidong Chen, and Xiaodong Shi. Boosting Implicit Discourse Relation Recognition with Connective-based Word Embeddings. Neurocomputing. (CCF-C,JCR-2)
[56] Jinsong Su, Xiangwen Zhang, Qian Lin, Yue Qin, Junfeng Yao and Yang Liu*. 2019. Exploiting Reverse Target-Side Contexts for Neural Machine Translation via Asynchronous Bidirectional Decoding. Artificial Intelligence. (CCF-A,JCR-2)
[55] Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Lei Li. Towards Linear Time Neural Machine Translation with Capsule Networks. In Proceedings of EMNLP2019. (CCF-B)
[54] Linfeng Song, Yue Zhang, Daniel Gildea, Mo Yu, Zhiguo Wang and Jinsong Su. 2019. Leveraging Dependency Forest for Neural Medical Relation Extraction. In Proceedings of EMNLP2019. (CCF-B)
[53] Jiali Zeng, Yang Liu, Jinsong Su*, Yubing Ge, Yaojie Lu, Yongjing Yin and Jiebo Luo. 2019. Iterative Dual Domain Adaptation for Neural Machine Translation. In Proceedings of EMNLP2019. (CCF-B)
[52] Songyang Zhang, Jinsong Su and Jiebo Luo. 2019. Exploiting Temporal Relationships in Video Moment Localization with Natural Language. In Proceedings of ACMMM 2019. (CCF-A)
[51] Jinsong Su, Jialong Tang, Ziyao Lu, Xianpei Han, Haiying Zhang*. 2019. A Neural Image Captioning Model with Caption-to-Images Semantic Constructor. Neurocomputing. (CCF-C,JCR-2)
[50] Yongjing Yin+, Linfeng Song+, Jinsong Su*, Jiali Zeng, Chulun Zhou, Jiebo Luo. 2019. Graph-based Neural Sentence Ordering. In Proceedings of IJCAI2019. (CCF-A)
[49] Mengge Xue, Weiming Cai, Jinsong Su*, Linfeng Song, Yubin Ge, Yubao Liu, Bin Wang. 2019. Neural Collective Entity Linking Based on Recurrent Random Walk Network Learning. In Proceedings of IJCAI2019. (CCF-A)
[48] Jialong Tang+, Ziyao Lu+, Jinsong Su*, Yubin Ge, Linfeng Song, Le Sun and Jiebo Luo. 2019. Progressive Self-Supervised Attention Learning for Aspect-Level Sentiment Analysis. In Proceedings of ACL2019. (CCF-A)
[47] Jun Peng, Yiyi Zhou, Xiaoshuai Sun, Jinsong Su, Rongrong Ji*. 2019. Towards Cross-Modality Topic Modeling via Deep Topical Correlation Analysis. In Proceedings of ICASSP2019. (CCF-B)
[46] Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, Jinsong Su. 2019. Semantic Neural Machine Translation using AMR. Transactions of the Association for Computational Linguistics. (CCF-B)
[45] Yongjing Yin, Jinsong Su*, Jiali Zeng, Huating Wen, Yang Liu, Yidong Chen. 2019. POS Tag-Enhanced Coarse-to-Fine Attention for Neural Machine Translation. ACM Transactions on Asian Language Information Processing. (CCF-C)
[44] Yiyi Zhou, Rongrong Ji*, Jinsong Su, Xiaoshuai Sun, Weiqiu Chen. 2019. Dynamic Capsule Attention for Visual Question Answering. In Proceedings of AAAI 2019. (CCF-A)
[43] Yiyi Zhou, Rongrong Ji*, Jinsong Su, Xiangming Li, Xiaoshuai Sun. 2019.Free VQA models from Knowledge Inertia by Pairwise Inconformity Learning. In Proceedings of AAAI 2019. (CCF-A)
[42] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Neural Machine Translation with Deep Attention. IEEE Transactions on Pattern Analysis and Machine Intelligence. (CCF-A,JCR-1)
[41] Biao Zhang, Deyi Xiong, Jinsong Su*, Yue Qin. 2018. Alignment-Supervised Bidimensional Attention-Based Recursive Autoencoders for Bilingual Phrase Representation. IEEE Transactions on Cybernetics. (CCF-B,JCR-1)
[40] Jiali Zeng, Jinsong Su*, Huating Wen, Yang Liu, Jun Xie, Yongjing Yin, Jianqiang Zhao. 2018. Multi-Domain Neural Machine Translation with Word-Level Domain Context Discrimination. In Proceedings of EMNLP 2018. (CCF-B)
[39] Biao Zhang, Deyi Xiong, Jinsong Su*, Qian Lin, Huiji Zhang. 2018. Simplifying Neural Machine Translation with Addition-Subtraction Twin-Gated Recurrent Networks. In Proceedings of EMNLP 2018. (CCF-B)
[38] Mingxuan Wang, Jun Xie, Zhixing Tan, Jinsong Su, Deyi Xiong, Chao Bian. 2018. Neural Machine Translation with Decoding-History Enhanced Attention. In Proceedings of COLING 2018. (CCF-B)
[37] Junyang Lin, Xu Sun*, Xuancheng Ren, Shuming Ma, Jinsong Su, Qi Su. 2018. Deconvolution-Based Global Decoding for Neural Machine Translation. In Proceedings of COLING 2018. (CCF-B)
[36] Zhiwei Ruan, Jinsong Su, Deyi Xiong, Rongrong Ji*. 2018. Context-Aware Phrase Representation for Statistical Machine Translation. In Proceedings of PRICAI 2018. (CCF-C)
[35] Zongyue Liu, Fuhai Chen, Jinsong Su, Chen Shen, Rongrong Ji*. 2018. Topic-guided Automatical Human-simulated Tweeting System. In Proceedings of PRICAI 2018. (CCF-C)
[34] Jinsong Su, Biao Zhang, Deyi Xiong*, Yang Liu, Min Zhang. 2018. Alignment-consistent Recursive Neural Networks for Bilingual Phrase Embeddings. Knowledge-Based Systems. (CCF-C,JCR-2)
[33] Biao Zhang, Deyi Xiong, Jinsong Su*. 2018. Accelerating Neural Transformer via an Average Attention Network. In Proceedings of ACL 2018. (CCF-A)
[32] Fuhai Chen, Rongrong Ji*, Xiaoshuai Sun, Yongjian Wu, Jinsong Su. 2018. GroupCap: Group-based Image Captioning with Structured Relevance and Diversity Constraints. In Proceedings of CVPR 2018. (CCF-A)
[31] Zhixing Tan, Jinsong Su, Boli Wang, Yidong Chen, Xiaodong Shi*. 2018. Lattice-to-sequence attentional Neural Machine Translation Models. Neurocomputing, 2018, 284 (2018) 138–147. (CCF-C,JCR-2)
[30] Jinsong Su+, Jiali Zeng+, Deyi Xiong*, Yang Liu, Mingxuan Wang, Jun Xie. 2018. A Hierarchy-to-Sequence Attentional Neural Machine Translation Model. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B,JCR-3)
[29] Jinsong Su, Zhenqiao Song, Yaojie Lu, Mu Xu, Changxing Wu, Yidong Chen*. 2018. Exploring Implicit Semantic Constraints for Bilingual Word Embeddings. Neural Processing Letters. (CCF-C,JCR-3)
[28] Xiangwen Zhang, Jinsong Su*, Yue Qin, Yang Liu, Rongrong Ji, Hongji Wang. 2018. Asynchronous Bidirectional Decoding for Neural Machine Translation. In Proceedings of AAAI 2018. (CCF-A)
[27] Jinsong Su, Shan Wu, Deyi Xiong*, Yaojie Lu, Xianpei Han, Biao Zhang. 2018. Variational Recurrent Neural Machine Translation. In Proceedings of AAAI 2018. (CCF-A)
[26] Jinsong Su, Shan Wu, Biao Zhang, Changxing Wu, Yue Qin, Deyi Xiong*. 2018. A Neural Generative Autoencoder for Bilingual Word Embeddings. Information Sciences. (CCF-B,JCR-2)
[25] Biao Zhang, Deyi Xiong, Jinsong Su*, Min Zhang. 2018. Learning Better Discourse Representation for Implicit Discourse Relation Recognition via Attention Networks. Neurocomputing. (CCF-C,JCR-2)
[24] Biao Zhang, Deyi Xiong, Jinsong Su*, Hong Duan. 2017. A Context-Aware Recurrent Encoder for Neural Machine Translation. IEEE/ACM Transactions on Audio, Speech and Language Processing. (CCF-B, JCR-3)
[23] Chenhan Lin, Fei Long*, Junfeng Yao, M.T. Sun, Jinsong Su. 2017. Learning Spatiotemporal and Geometric Features with ISA for Video-based Facial Expression Recognition. In Proceedings of ICONIP 2017, pages 435-444. (CCF-C).
[22] Fuhai Chen, Rongrong Ji*, Jinsong Su, Donglin Cao, Yue Gao. 2017. Predicting Microblog Sentiments via Weakly Supervised Multi-Modal Deep Learning. IEEE Transactions on Multimedia. (CCF-B)
[21] Yiyi Zhou, Rongrong Ji*, Jinsong Su, Yongjian Wu, Yunsheng Wu. 2017. More Than An Answer: Neural Pivot Network for Visual Question Answering. In Proceedings of MM 2017. (CCF-A)
[20] Fuhai Chen, Rongrong Ji*, Jinsong Su, Yongjian Wu, Yunsheng Wu. 2017. StructCap: Structured Semantic Embedding for Image Captioning. In Proceedings of MM 2017. (CCF-A)
[19] Changxing Wu, Xiaodong Shi*, Yidong Chen, Jinsong Su,Boli Wang. 2017. Improving Implicit Discourse Relation Recognition with Discourse-specific Word Embeddings, In Proceedings of ACL 2017, pages 269-274. (CCF-A)
[18] Changxing Wu, Xiaodong Shi*, Yidong Chen, Yanzhou Huang, Jinsong Su. 2017. Leveraging Bilingually-constrained Synthetic Data via Multi-task Neural Networks for Implicit Discourse Relation Recognition, Neurocomputing, 2017, doi: 10.1016/j.neucom.2017.02.084 (CCF-C,JCR-2)
[17] Changxing Wu, Xiaodong Shi*, Jinsong Su, Yidong Chen, Yanzhou Huang. 2017. Co-training for Implicit Discourse Relation Recognition Based on Manual and Distributed Features. Neural Processing Letters, 2017, DOI: 10.1007/s11063-017-9582-x (CCF-C,JCR-3)
[16] Jinsong Su, Zhixing Tan, Deyi Xiong, Rongrong Ji, Xiaodong Shi, Yang Liu*. 2017. Lattice-Based Recurrent Neural Network Encoders for Neural Machine Translation. In Proceedings of AAAI 2017, pages 3302-3308. (CCF-A)
[15] Biao Zhang, Deyi Xiong, Jinsong Su*. 2017. BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase Embeddings. In Proceedings of AAAI 2017, pages 3372-3378. (CCF-A)
[14] Jinsong Su, Biao Zhang, Deyi Xiong*, Ruochen Li, Jianmin Yin. 2016. Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling. In Proceedings of COLING 2016, pages 3071-3081. (CCF-B)
[13] Biao Zhang, Deyi Xiong*, Jinsong Su, Hong Duan, Min Zhang. 2016. Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences. In Proceedings of COLING 2016, pages 2548-2558. (CCF-B)
[12] Biao Zhang, Deyi Xiong*, Jinsong Su, Hong Duan, Min Zhang. 2016. Variational Neural Machine Translation. In Proceedings of EMNLP 2016, pages 521-530. (CCF-B)
[11] Biao Zhang, Deyi Xiong*, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang. 2016. Variational Neural Discourse Relation Recognizer. In Proceedings of EMNLP 2016, pages 382-391. (CCF-B)
[10] Changxing Wu, Xiaodong Shi, Yidong Chen, Yanzhou Huang, Jinsong Su. 2016. Bilingually-constrained Synthetic Data for Implicit Discourse Relation Recognition. In Proceedings of EMNLP 2016, pages 2306-2312. (CCF-B)
[9] Shujian Huang, Huifeng Sun, Chengqi Zhao, Jinsong Su, Xinyu Dai, Jiajun Chen. 2016. Tree-state based Rule Selection Models for Hierarchical Phrase-based Machine Translation. In Proceedings of IJCAI 2016, pages 2817-2823. (CCF-A)
[8] Biao Zhang, Jinsong Su*, Deyi Xiong, Yaojie Lu, Hong Duan, Junfeng Yao. 2015. Shallow Convolutional Neural Network for Implicit Discourse Relation Recognition. In Proceedings of EMNLP 2015, pages 2230-2235. (CCF-B)
[7] Jinsong Su, Deyi Xiong*, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang. 2015. Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. In Proceedings of EMNLP 2015, pages 1248-1258. (CCF-B)
[6] Jinsong Su,Deyi Xiong*, Shujian Huang, Xianpei Han, Junfeng Yao. 2015. Graph-based Collective Lexical Selection for Statistical Machine Translation. In Proceedings of EMNLP 2015, pages 1238-1247. (CCF-B)
[5] Biao Zhang, Jinsong Su*,Deyi Xiong, Hong Duan, Junfeng Yao. 2015. Discriminative Reordering Model Adaptation via Structural Learning. In Proceedings of IJCAI 2015, pages 1040-1046. (CCF-A)
[4] Jinsong Su, Deyi Xiong*, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang. 2015. A Context-Aware Topic Model for Statistical Machine Translation. In Proceedings of ACL 2015, pages 229-238. (CCF-A)
[3] Jinsong Su*, Hua Wu, Haifeng Wang, Yidong Chen, Xiaodong Shi, Huailin Dong, Qun Liu. 2012. Translation Model Adaptation for Statistical Machine Translation with Monolingual Topic Information. In Proceedings of ACL 2012, pages 459-468. (CCF-A)
[2] Jinsong Su*, Yang Liu, Yajuan Lv, Haitao Mi and Qun Liu. 2010. Learning Lexicalized Reordering Models from Reordering Graphs. In Proceedings of ACL 2010, pages 12-16. (CCF-A)
[1] Jinsong Su*, Yang Liu, Haitao Mi, Hongmei Zhao, Yajuan lv and Qun Liu. 2010. Dependency-Based Bracketing Transduction Grammar for Statistical Machine Translation. In Proceedings of COLING 2010, pages 1185-1193. (CCF-B)


厦门大学 厦门大学软件学院 厦门大学智能与科学系 厦门大学信息科学学院 厦门大学模式分析与机器智能研究中心