LI,Ge 中文
Associate Professor,
Key Lab of High Confidence Software Technologies,
School of Electronics Engineering and Computer Science,
Peking University
lige@pku.edu.cn

LI, Ge is now an associate professor in the Department of Computer Science and Technology, School of EECS. He obtained his Ph.D. from Peking University in 2006. He had been a visiting associate professor at Artificial Intelligence Laboratory of Stanford University in 2013-2014. His current research mainly concerns applications of probabilistic methods for machine learning, including Program Language Processing, Natural Language Processing, and Software Engineering.

Dr. Li is the Deputy Secretary General of CCF Software Engineering Society and the founder of the Software Program Generation Study Group, which includes over 100 advanced researchers in China. Dr. Li has published more than 50 research papers, and many of them are published in top-tier conferences and journals, such as AAAI, ACL, ASE, ICSE, EMNLP, CIKM, COLING and JSS. He has served as in the Technical Program Committee of many international conferences including KSEM, ICSR, UIC, ICeBE etc. He was awarded the first prize of Science and Technology Progress Award from the Department of the Ministry of Education. His undergraduate course, Introduction to Computing, was the first computer MOOC course from mainland China on Coursera, and was awarded National Excellent Course. He was also awarded Peking University Teaching Excellence Award, Beijing Educational Innovation Model, First prize of the Association of Computer Education in Beijing Colleges and Universities, First prize of Teaching Skills Competition of Beijing Universities.


Recent Publications:

Lili Mou, Yiping Song, Rui Yan, Ge Li, Lu Zhang, Zhi Jin, Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 3349–3358, Osaka, Japan, December 11-17 2016.

Yan Xu, Ran Jia, Lili Mou, Ge Li, Yunchuan Chen, Yangyang Lu and Zhi Jin, Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation, Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers, pages 1461–1470, Osaka, Japan, December 11-17 2016.

Lili Mou, Zhao Meng, Rui Yan, Ge Li, Yan Xu, Lu Zhang, Zhi Jin, How Transferable are Neural Networks in NLP Applications? Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing (EMNLP 2016), pages 479–489, Austin, Texas, November 1-5, 2016.

Yunchuan Chen, Lili Mou, Yan Xu, Ge Li, Zhi Jin, Compressing Neural Language Models by Sparse Word Representations, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 226–235, Berlin, Germany, August 7-12, 2016.

Lili Mou, Rui Men, Ge Li, Yan Xu, Lu Zhang, Rui Yan, Zhi Jin, Natural Language Inference by Tree-Based Convolution and Heuristic Matching, Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pages 130–136, Berlin, Germany, August 7-12, 2016.

Lili Mou, Ge Li, Lu Zhang, Tao Wang, Zhi Jin, "Convolutional Neural Networks over Tree Structures for Programming Language Processing." Proceedings of 2016 AAAI Conference on Artificial Intelligence (AAAI 2016), pages 1287-1293, Phoenix, USA, January 12-18, 2016.

Lili Mou, Ran Jia, Yan Xu, Ge Li, Lu Zhang, Zhi Jin , Distilling Word Embeddings: An Encoding Approach, Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM 2016), Indianapolis, USA, October 24-28, 2016.

Zhao Meng, Lili Mou, Ge Li and Zhi Jin, Context-Aware Tree-Based Convolutional Neural Networks for Natural Language Inference, Proceedings of 9th International Conference on Knowledge Science, Engineering and Management (KSEM 2016), Passau, Germany, October 4-8, 2016, LNAI 9983, pp. 515–526.

Yangyang Lu, Ge Li, Rui Miao and Zhi Jin, Learning Embeddings Of API Tokens To Facilitate Deep Learning Based Program Processing, Proceedings of 9th International Conference on Knowledge Science, Engineering and Management (KSEM 2016), Passau, Germany, October 4-8, 2016, LNAI 9983, pp. 527–539.

Hao Peng, Lili Mou, Ge Li, Yan Xu, Lu Zhang, Zhi Jin, "A Comparative Study on Regularization Strategies for Embedding-based Neural Networks." The 2015 Conference on Empirical Methods in Natural Language Processing(EMNLP 2015), Lisboa, Portugal, September 17–21, 2015.

Hao Peng, Lili Mou, Ge Li, Yuxuan Liu, Lu Zhang and Zhi Jin, "Building Program Vector Representations for Deep Learning." The 8th International Conference on Knowledge Science, Engineering and Management (KSEM 2015), Chongqing, China October 28-30, 2015.

Lili Mou, Hao Peng, Ge Li, Yan Xu, Lu Zhang, Zhi Jin, "Discriminative Neural Sentence Modeling by Tree-Based Convolution.” The 2015 Conference on Empirical Methods in Natural Language Processing(EMNLP 2015), Lisboa, Portugal, September 17–21, 2015.

Yan Xu, Lili Mou, Ge Li, Lu Zhang, Zhi Jin, "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths." The 2015 Conference on Empirical Methods in Natural Language Processing(EMNLP 2015), Lisboa, Portugal, September 17–21, 2015.

Lili Mou, Ge Li, Zhi Jin and Lu Zhang, "Verification based on Hyponymy Hierarchical Characteristics for Web-based Hyponymy Discovery." International Conference on Knowledge Science, Engineering and Management 2014, Lecture Notes in Computer Science Volume 8793, 2014, pp 81-92.

Yan Xu, Ge Li, Lili Mou, Yangyang Lu, "Learning Non-taxonomy Relations on Demand for Ontology Extension." International Journal of Software Engineering and Knowledge Engineering, October 2014, Vol.24, No.08, pp.1159-1175.