Hello! I am a 5th year Ph.D. student in the Department of Computer Science and Engineering of Texas A&M University (TAMU), College Station under the supervision of Prof. Ruihong Huang. I got my Bachelor's degree from Dalian University of Technology (DUT) in June, 2015.
I visited Advanced Integrated Cyber-Physical Systems (AICPS) Lab at University of California, Irvine as a student researcher in 2014 working on Parallelization of the H.264 on GPU Architecture.
I am broadly interested in the general area of Artificial Intelligence, with emphasis on Natural Language Processing, Information Extraction, Machine Learning. I derive great delight from solving challenging problems in these areas! Now, I'm working on Weakly Supervised Learning, event relations extraction, and event common-sense knowledge acquisition.
Herbert A. Simon
said that human intelligence is just the rule-governed manipulation of symbols. I believe one day machines could achieve the same capacity of human's intelligence. I dream to commit myself to this challenge and to make human life better. But “of course, AI itself is just part of a grander scheme driving the universe from simple initial conditions to more and more unfathomable complexity. Finally, even this awesome process may be just a tiny part of the even grander, optimally efficient computation of all logically possible universes.” --Jürgen Schmidhuber
- Applied Scientist Intern, Summer 2019
Natural Language Understanding Group, Amazon Alexa AI, Boston, MA
- Research Intern, Summer 2018
Machine Intelligence Group, Raytheon BBN Technologies, Cambridge, MA
- Wenlin Yao, Cheng Zhang, Shiva Saravanan, Ruihong Huang and Ali Mostafavi, “Weakly-supervised Fine-grained Event Recognition on Social Media Texts for Disaster Management”, to appear in Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020. (Oral presentation, Overall Acceptance Rate: 20.6%)
- Cheng Zhang, Chao Fan, Wenlin Yao, Xia Hu, Ali Mostafavia, “Social media for intelligent public information and warning in disasters: An interdisciplinary review”, published in International Journal of Information Management (IJIM), Elsevier, 2019. [pdf]
- Wenlin Yao, Ruihong Huang, “Temporal Event Knowledge Acquisition via Identifying Narratives”, in Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL), 2018. (Long Paper, Acceptance Rate: 24.9%) [pdf] [data]
- Chao Fan, Ali Mostafavi, Wenlin Yao, Ruihong Huang, “A Graph-based Approach for Detecting Critical Infrastructure Disruptions on Social Media in Disasters”, In Proceedings of IEEE 52nd Hawaii International Conference on System Sciences (HICSS-52), 2018. [pdf]
- Wenlin Yao, Saipravallika Nettyam and Ruihong Huang, “A Weakly Supervised Approach to Train Temporal Relation Classifiers and Acquire Regular Event Pairs Simultaneously”, In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2017. (Regular Paper, Acceptance Rate: 14%) [pdf] [regular_event_pairs]
- Zeyu Dai, Wenlin Yao, Ruihong Huang, “Using Context Events in Neural Network Models for Event Temporal Status Identification”, In Proceedings of the International Joint Conference on Natural Language Processing (IJCNLP), 2017. [pdf]
- Wenlin Yao, Zeyu Dai, Ruihong Huang and James Caverlee, “Online Deception Detection Refueled by Real World Data Collection”, In Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP), 2017. (Regular Paper, Acceptance rate: 14%) [pdf] [dataset]
- Nan Si, Linlin Tian, Wenlin Yao, “Cooperation enhanced by indirect reciprocity and spatial reciprocity in social P2P reputation systems”, In Proceedings of the International Conference on Computational Intelligence and Communication Networks (CICN), 2015. [pdf] (When in undergraduate)
|Teaching Assistant (CSCE 633 - Machine Learning), TAMU, Spring 2019|
|Teaching Assistant (CSCE 638 - Natural Language Processing Foundation and Techniques), TAMU, Fall 2018|
|Teaching Assistant (CSCE 420 - ARTIFICIAL INTELLIGENCE), TAMU, Spring 2017/Fall 2017|
Selected Honors & Awards
Program Committee Member: AAAI 2020
, EMNLP-IJCNLP 2019
, ACL 2019
, NAACL 2019
, EMNLP 2018
, NLPCC 2018
, NLPCC 2017
More about Me
I practised Chinese traditional calligraphy for several years when I was in primary school. It is a great hobby for which I am proud of and it makes me relax after work.
When I studied in No.1 Middle School of Zhengzhou
, I also took much effort to participate in National Mathematical Olympiad in Senior
. Euclidean plane geometry is my favorite discipline and in my opinion, Nine-point circle theorem
is the most elegant Math theorem.