Biography
I am a senior researcher at Tencent AI Lab. I received my Ph.D. degree from the Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong on 2018, under the supervision of Prof. Wai Lam. Before joining CUHK, I was a full-time R&D Engineer at Baidu Inc. and Wumii Inc. I received my master and bachelor degree from School of Computer Science and Technology in Shandong University from 2005 to 2012, under the supervision of Prof. Jun Ma.
I have interests in several broad research directions, such as natural language processing, computer vision, deep learning, and reinforcement learning.
News
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Feb. 2019: One paper was accepted to NAACL2019.
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Jan. 2019: One paper was accepted to WWW2019.
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Jan. 2019: Invited to serve as the program committee for NIPS 2019.
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Nov. 2018: Three papers were accepted to AAAI2019.
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Nov. 2018: Invited to serve as the program committee for ICML 2019.
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Sep. 2018: One paper was accepted to EMNLP2018
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Sep. 2018. Share at Tencent AI Lab: "Neural Text Summarization: A Short Survey". [slides]
Working Experience
- Senior Researcher, Tencent AI Lab, 2018-08-02 ~ Now
- Co-Founder, LpNorm, 2016-02-22
- Part-time R&D Engineer, 4Paradigm, 2015
- Full-time R&D Engineer, Wumii, 2013-2014
- Full-time R&D Engineer, Baidu, 2012-2013
Publications
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Piji Li, Zihao Wang, Lidong Bing, Wai Lam. Persona-Aware Tips Generation. Proceedings of The Web Conference (WWW'19). May. 2019. [PDF]
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Shen Gao, Xiuying Chen, Piji Li, Lidong Bing, Zhaochun Ren, Dongyan Zhao, Rui Yan. Abstractive Text Summarization by Incorporating Reader Comments. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19). Jan. 2019. [PDF]
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Xin Li, Lidong Bing, Piji Li, Wai Lam. A Unified Model for Opinion Target Extraction and Target Sentiment Prediction. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19). Jan. 2019. [PDF]
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Yifan Gao, Lidong Bing, Piji Li, Irwin King, Michael R. Lyu. Generating Distractors for Reading Comprehension Questions from Real Examinations. Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI'19). Jan. 2019. [PDF]
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Yi Liao, Lidong Bing, Piji Li, Shuming Shi, Wai Lam, and Tong Zhang. QuaSE: Sequence Editing under Quantifiable Guidance. The Conference on Empirical Methods in Natural Language Processing (EMNLP'18). 2018.
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Zhihao Fan, Zhongyu Wei, Piji Li, Yanyan Lan, and Xuanjing Huang. A Question Type Driven Framework to Diversify Visual Question Generation. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden. 2018.
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Xin Li, Lidong Bing, Piji Li, Wai Lam, and Zhimou Yang. Aspect Term Extraction with History Attention and Selective Transformation. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'18). Stockholm, Sweden. 2018.
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Piji Li, Lidong Bing, and Wai Lam. Actor-Critic based Training Framework for Abstractive Summarization. arXiv preprint arXiv:1803.11070 (2018). Mar 2018. [PDF]
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Lidong Bing, Zheng-Yu Niu, Piji Li, Wai Lam, and Haifeng Wang. Learning a Unified Embedding Space of Web Search from Large-scale Query Log. Knowledge-Based Systems. 2018.
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Piji Li, Wai Lam, Lidong Bing, and Zihao Wang. Deep Recurrent Generative Decoder for Abstractive Text Summarization. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017. [PDF] [Code]
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Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, and Hang Li. Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization. Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP'17). Sep 2017. [PDF]
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Piji Li, Lidong Bing, Wai Lam. Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset. Proceedings of the EMNLP 2017 Workshop on New Frontiers in Summarization (EMNLP-NewSum'17). Sep 2017. [PDF] [Dataset] [Code]
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Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, and Wai Lam. Neural Rating Regression with Abstractive Tips Generation for Recommendation. Proceedings of the The 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'17). Aug 2017. [PDF]
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Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, and Lidong Bing. Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17). Feb 2017. [PDF] [Code]
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Hongya Song, Zhaochun Ren, Piji Li, Shangsong Liang, Jun Ma, Maarten de Rijke. Summarizing Answers in Non-Factoid Community Question-Answering. Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM'17). Feb 2017.
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Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke. Social Collaborative Viewpoint Regression with Explainable Recommendations. Proceedings of the 10th International Conference on Web Search and Data Mining (WSDM'17). Feb 2017.
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Zhaochun Ren, Hongya Song, Piji Li, Shangsong Liang, Jun Ma, Maarten de Rijke. Using Sparse Coding for Answer Summarization in Non-Factoid Community Question-Answering. Proceedings of the SIGIR 2016 workshop: Web Question Answering, Beyond Factoids (WebQA '17). Jun 2016.
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Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, Rebecca J Passonneau. Abstractive Multi-Document Summarization via Phrase Selection and Merging. Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics (ACL'15). Beijing, China. July 26-31, 2015.
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Piji Li, Lidong Bing, Wai Lam, Hang Li and Yi Liao. Reader-Aware Multi-Document Summarization via Sparse Coding. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15). Buenos Aires, Argentina. July 25-31, 2015. [PDF]
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Piji Li, Jun Ma, Shuai Gao. Learning to summarize web image and text mutually. Proceedings of the 2nd ACM International Conference on Multimedia Retrieval (ICMR'12). Hong Kong. Jun 2012. [PDF]
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Piji Li, Jun Ma, Dongmei Zhang, Xiaohui Han. Extraction and Ranking of Tags for User Opinions. Journal of Chinese Information Processing. 2012. PDF]
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Chaoran Cui, Jun Ma, Lei Zhang, Piji Li, Zhaochun Ren. A hybrid relevant-diverse approach for image re-ranking with multiple features. International Journal of Computer Mathematics. 2011.
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Piji Li, Jun Ma, Lei Zhang. Results selection diversity for web image retrieval. International Journal of Computer Mathematics. 2011.
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Piji Li, Jun Ma. What is happening in a still picture? Proceedings of the The First Asian Conference on Pattern Recognition (ACPR'11). Beijing, China. Dec 2011. [PDF]
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Piji Li, Jun Ma, Shuai Gao. Actions in still web images: visualization, detection and retrieval. Proceedings of the International Conference on Web-Age Information Management (WAIM'11). Sep 2011.
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Lei Zhang, Jun Ma, Chaoran Cui, Piji Li. Active learning through notes data in flickr: an effortless training data acquisition approach for object localization. Proceedings of the 1st ACM International Conference on Multimedia Retrieval (ICMR'11). Trento , Italy. Apr. 2011.
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Lei Zhang, Piji Li, Jun Ma. A hybrid unsupervised image re-ranking approach with latent topic contents. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR'10). Jul 2010.
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Piji Li, Lei Zhang, Jun Ma. Dual-ranking for web image retrieval. Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR'10). Jul 2010.
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Piji Li, Jun Ma. Learning to rank for web image retrieval based on genetic programming. Proceedings of the 2nd IEEE International Conference on Broadband Network & Multimedia Technology (BNMT'09). Oct 2009.
Professional Activities
- Reviewer: ICML, NIPS, ACL, EMNLP, NAACL, AAAI, IJCAI, SIGIR, CIKM, CCIR, NLPCC; TOIS, TKDE, JCST, IRJ
Resources