Assoc Prof Dr Chengjie Sun - Natural Lanauage processing - Best Researcher Award
Harbin Institute of Technology - China
Author Profile:
Early Academic Pursuits
Assoc Prof Dr Chengjie Sun began his academic journey at Yantai University, where he pursued a Bachelor's degree in Computer Science and Technology from 1998 to 2002. Subsequently, he continued his education at Harbin Institute of Technology, achieving a Master's degree in Computer Science and Technology from 2002 to 2004. Later, he furthered his academic pursuits at the same institute, obtaining his Doctorate in Computer Application Technology from 2004 to 2008.
Professional Endeavors
After completing his doctoral studies, Assoc Prof Dr Chengjie Sun embarked on an illustrious professional journey. He joined the Harbin Institute of Technology's School of Computer Science and Technology as a Lecturer from January 2009 to December 2014. In 2013, he expanded his academic horizons by serving as a Visiting Scholar at the Massachusetts Institute of Technology's Computer Science and Artificial Intelligence Laboratory (CSAIL). Since January 2015, he has held the position of Associate Professor at the Harbin Institute of Technology.
Additionally, Assoc Prof Dr Chengjie Sun enriched his professional experience by collaborating with renowned institutions and organizations. He served as a Visiting Scholar at Microsoft Research Asia's Natural Language Computing Group from September 2011 to July 2012.
Contributions and Research Focus
Assoc Prof Dr Chengjie Sun's research interests primarily revolve around natural language processing technologies and their applications, recommender systems, and machine learning. His scholarly contributions encompass a wide range of topics, including offensive message identification, explainable dialogue systems, fake news detection, response generation, user modeling, and named entity recognition, among others. Through his extensive peer-reviewed publications in reputable journals and conferences, Chengjie Sun has significantly advanced the field of computer science and technology.
Accolades and Recognition
Assoc Prof Dr Chengjie Sun's exemplary contributions to academia have earned him prestigious accolades and recognition. In 2011, he received the First Prize of the Heilongjiang Science and Technology Award for his work on Sentence Level Pinyin Input Method in a Network Environment. His research endeavors and innovative approaches have consistently garnered acknowledgment from peers and experts in the field.
Impact and Influence
Assoc Prof Dr Chengjie Sun's research and teaching endeavors have had a profound impact on the academic community and industry alike. His publications in leading journals and conferences have contributed to the advancement of natural language processing, machine learning, and recommender systems. Furthermore, his collaborative efforts with esteemed institutions and professional memberships have facilitated knowledge exchange and interdisciplinary collaborations, fostering innovation and growth in the field.
Legacy and Future Contributions
As an Associate Professor at the Harbin Institute of Technology, Chengjie Sun continues to inspire and mentor future generations of computer scientists and researchers. His dedication to advancing knowledge and fostering excellence in research and teaching serves as a testament to his commitment to the academic community. Moving forward, Chengjie Sun's ongoing research endeavors and contributions are poised to shape the future of natural language processing technologies, recommender systems, and machine learning, leaving a lasting legacy in the field.
Citations
- Citations 3097
- h-index 23
- i10-index 42
Notable Publication
- Overview of BioCreative II gene mention recognition (490), 2008
- Overview of BioCreative II gene normalization (403), 2008
- Predicting polarities of tweets by composing word embeddings with long short-term memory (366), 2015
- Learning natural language inference using bidirectional LSTM model and inner-attention (328), 2016
- Neural response generation via gan with an approximate embedding layer (113), 2017