Hechang Chen| Artificial Intelligence | Best Researcher Award

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Mr. Hechang Chen – Artificial Intelligence – Best Researcher Award

Education Background

Doctoral Candidate in Computer Software and Theory: Duration: September 2014 – December 2018, Institution: College of Computer Science and Technology, Jilin University. Visiting Doctoral Student: Duration: July 2017 – January 2018, Institution: Health and Medical Informatics Research Center, School of Computer Science, Hong Kong Baptist University. Jointly Cultivated Doctoral Student: Duration: November 2015 – December 2016, Institution: College of Computer Science, University of Illinois at Chicago.

Jilin University, School of Artificial Intelligence | China

Profiles 

Scopus

Orcid

📍Current Position

Hechang Chen is an Associate Professor at the School of Artificial Intelligence, Jilin University (JLU), China. He specializes in cutting-edge artificial intelligence (AI) research and has been affiliated with Jilin University since completing his advanced studies. With a strong foundation in machine learning, data mining, and AI for science, Dr. Chen’s work focuses on innovative solutions and applications in intelligent gaming and embodied AI.

📝Publication Achievements 

Journals Published

Dr. Chen has an impressive publication record, with over 70 articles in prestigious international journals and conferences such as IEEE TPAMI, TKDE, TNNLS, TIST, NeurIPS, ICML, KDD, SIGIR, and AAAI. His notable works include contributions to NeurIPS 2022 and 2023, ICML 2024, and other high-impact forums. His research outputs are recognized for their significant impact in the fields of deep reinforcement learning, machine learning, and data science, contributing valuable insights into AI methodologies.

🔍Ongoing Research 

Currently, Dr. Chen is engaged in multiple research projects, including the International Science and Technology Cooperation Project on “Intelligent Active Monitoring Methods under Complex Migration Patterns” and the Major Project of the National Science and Technology Innovation 2030 Initiative on “Intelligent Theories and Methods for Complex Dynamic Systems.” These projects, funded by substantial grants, explore advanced AI methodologies, intelligent monitoring, and dynamic system analysis, pushing the boundaries of AI technology.

🔬Research Interests 

Dr. Chen’s research interests encompass a wide range of AI domains, including: Machine Learning: Developing novel algorithms and approaches for supervised and unsupervised learning. Data Mining: Extracting meaningful patterns and insights from large datasets. Intelligent Gaming: Innovating in AI applications for game design and player experience enhancement. AI for Science: Applying AI techniques to solve complex scientific problems. Embodied AI: Focusing on AI systems that interact with the physical world.

🎓Academic Background 

Dr. Chen’s academic journey began with a Master’s and Ph.D. in Computer Science and Technology from Jilin University. His doctoral research was under the guidance of Professor Bo Yang. He further enhanced his expertise through international experiences as a joint Ph.D. student at the University of Illinois at Chicago (UIC) and a visiting doctoral student at Hong Kong Baptist University (HKBU), where he worked with esteemed mentors, Professor Philip S. Yu and Professor Jiming Liu.

🏆Scholarships and Awards 

Dr. Chen has received numerous accolades, including the First Prize in the Jilin Provincial Natural Science Award for his work on “Domain-Driven Theory and Methodology for Network Big Data Analysis.” This prestigious recognition highlights his contributions to the advancement of big data and network analysis theories.

🌐Professional Associations 

Dr. Chen is actively involved in various professional associations, collaborating with international scholars and institutions. His work with IEEE and other leading AI and data science conferences showcases his commitment to the global AI research community. He collaborates extensively on international projects, contributing to the cross-pollination of ideas and innovations in AI.

 📚Training & Workshops 

Dr. Chen frequently participates in and conducts workshops and training sessions, sharing his expertise in machine learning and AI. These activities not only advance his knowledge but also contribute to the professional development of students and peers in the AI community.

🎤Oral Presentations 

An engaging speaker, Dr. Chen has delivered numerous oral presentations at top-tier conferences, including NeurIPS, ICML, and AAAI. His presentations cover a range of topics from reinforcement learning to data science, providing insights into his latest research findings and theoretical advancements.

🧑‍🔬Tasks Completed as a Researcher 

As a researcher, Dr. Chen has undertaken various tasks, including leading significant AI projects, developing new machine learning algorithms, and publishing extensively in high-impact journals. His work involves a meticulous blend of theoretical and applied research, ensuring that his contributions are both innovative and practical.

🚀Success Factors 

Dr. Chen’s success is attributed to his strong analytical skills, interdisciplinary approach, and commitment to advancing AI technology. His international education and collaborations have provided him with a broad perspective, enabling him to tackle complex AI challenges with innovative solutions.

🧪Publications & Laboratory Experience

Dr. Chen’s laboratory experience is rich with projects focusing on deep learning, reinforcement learning, and AI applications in various domains. His publications, such as those in IEEE TKDE and TNNLS, are a testament to his expertise and significant contributions to the field. These works

📚Publications:

Yipeng Xi | AI usage behavior | Best Researcher Award

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Dr. Yipeng Xi – AI usage behavior – Best Researcher Award

Shanghai Jiao Tong University | China

Author Profile 

Early Academic Pursuits 🎓

His academic journey began with a strong foundation in communication studies, culminating in his excellent performance at Southwest University. He earned the “Excellent Undergraduate Thesis” award in 2014-2015 and received the third prize in the National English Competition in 2012-2013. His dedication to his studies continued at Sun Yat-sen University, where he was recognized as an “Excellent Graduate” and awarded a first-prize scholarship from 2015-2017. His outstanding thesis work was also acknowledged with the “Excellent Graduate Thesis” award in 2016-2017.

 Professional Endeavors 💼

Currently an Assistant Professor of Communication at Shanghai Jiao Tong University, he has established himself as a notable figure in media technology and computational social science. He is based in Shanghai and can be contacted at +86-15521193697 or via email at pckxi@sjtu.edu.cn. At Shanghai Jiao Tong University, located at 800 Dongchuan Road, Minhang District, he has been involved in multiple teaching and research activities.

Research Interests and Focus 🔍

His research interests include media technology and computational social science. His work explores the intricate connections between media agenda and public perception, as seen in his 2018 publication in News Circle. Another significant contribution is his 2018 paper in Youth Journalist, where he provided new insights into the third-level agenda-setting theory. His current working papers, such as “Communication placation: How governments respond to satirical voices in China,” reflect his deep engagement with contemporary issues in media and communication.

Contributions and Research Focus on AI usage behavior 📚

He has made significant strides in understanding and analyzing media dynamics and public engagement. His research covers a wide range of topics, including the network connection between media agenda and public agenda, user inertia and technology prestige in AI chatbot transition, and the moral expression of experts in public engagement with COVID-19 vaccine communication on Facebook.

His notable conference presentations include:

  • “The development of satire community under the post-authoritarian culture” (2023)
  • “The historical review of satire making and sharing in China” (2022)
  • “Adaptive agency: The satire genre and the origin of satirical thoughts in contemporary China” (2022)

Accolades and Recognition 🏆

Throughout his career, He has received numerous honors and awards, highlighting his contributions to communication studies. Notable accolades include:

  • Best Student Paper Award of International Communication Association (2021-2022)
  • Fieldwork scholarship and travel grants from the National University of Singapore
  • Best Teaching Assistant Award from the National University of Singapore (2019-2020)
  • Best Paper Award at the 3rd South China Postgraduate Conference of Communication Studies (2015-2016)

Impact and Influence 🌍

His research has had a profound impact on the field of communication, particularly in understanding media agenda-setting and public engagement. His work on the adaptive agency of satire and the origins of satirical thoughts in contemporary China provides valuable insights into how media and public discourse interact in complex sociopolitical environments.

Legacy and Future Contributions 🔮

As an Assistant Professor at Shanghai Jiao Tong University, his continues to influence the next generation of communication scholars through his teaching and mentorship. His courses on information visualization, big data and communication, communication theory, and academic writing equip students with essential skills and knowledge.

His ongoing research projects, funded by the Shanghai Social Science Foundation and the Shanghai Pujiang Talent Plan, focus on critical issues such as the multi-modal image of Shanghai on social media, scientific and technological stigmatization in international competition, and the content generation and value identification of Chinese culture’s external communication.

Notable Publications 

 

Shiyi Ren | Machine Learning | Best Researcher Award

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Mr. Shiyi Ren – Machine Learning  – Best Researcher Award

The University of Auckland  | New Zealand

Author Profile 

Early Academic Pursuits 🎓

Chengdu University (09/2014 – 06/2018)

Bachelor of Engineering in Vehicle Engineering

He began his academic journey at Chengdu University, where he pursued a Bachelor of Engineering in Vehicle Engineering. This foundational period was instrumental in shaping his technical skills and understanding of engineering principles. His undergraduate studies laid the groundwork for his future research endeavors, particularly in the fields of machine vision and robotics.

Sichuan Agricultural University (09/2018 – 06/2021)

Master of Agriculture in Agricultural Engineering and Information Technology

He continued his academic pursuits at Sichuan Agricultural University, earning a Master of Agriculture in Agricultural Engineering and Information Technology. His master’s research focused on the integration and demonstration of key technologies in the mechanization of potato production, specifically in hilly areas. This project (2018YFD0701103) involved the development and testing of a potato harvester, including the research of potato excavating parts, potato soil separation screens, and soil crushing rollers. This experience honed his skills in agricultural machinery and set the stage for his future research in mechatronics and automation.

 Professional Endeavors 💼

The University of Auckland (05/2022 – Present)

PhD Candidate of Mechatronics Engineering

Currently, he is a PhD candidate at The University of Auckland in the field of Mechatronics Engineering. His research focuses on advanced topics such as machine vision and deep learning. He is involved in pioneering projects, including the real-time prediction and measurement of the in vitro robotic food chewing process. His work aims to enhance the efficiency and accuracy of robotic systems through innovative technology integration.

Internship at CRRC Ziyang Co., Ltd (24/02/2020 – 26/03/2020)

Position: Crankshaft Engineer

During his internship at CRRC Ziyang Co., Ltd, Ren worked as a Crankshaft Engineer. He was responsible for the design of crankshafts, an experience that further solidified his practical engineering skills and his ability to apply theoretical knowledge in real-world industrial settings.

Contributions and Research Focus on Machine Learning 📚

His contributions to the field of engineering are substantial and varied. His research interests include machine vision, deep learning, and agricultural automation. His notable projects include:

  • Machine Vision and Deep Learning-Based Real-time Prediction and Measurement of the In Vitro Robotic Food Chewing Process (01/05/2018 – Present): This ongoing project aims to enhance the predictive capabilities of robotic systems using advanced machine vision and deep learning techniques.
  • Integration and Demonstration of Key Technologies in the Whole Mechanization of Potato Production on a Moderate Scale in Hilly Areas (2018YFD0701103) (01/09/2018 – 01/09/2022): This project focused on developing efficient and effective mechanized solutions for potato harvesting in challenging terrains.

Published Papers and Patents

  • Ren, S., Chen, B., Dhupia, J. S., Stommel, M., & Xu, W. (2023, October). “A Deep Learning System to Quantify and Predict the Chewing Process of Foods.” In ASME International Mechanical Engineering Congress and Exposition (Vol. 87639, p. V006T07A092). American Society of Mechanical Engineers.
  • Ren, S., Chen, B., Wang, X., Dhupia, J., Stommel, M., & Xu, W. (2023, November). “Concept of Real-Time Prediction and Evaluation System of Robotic Food Chewing Using Machine Vision and Deep Learning.” In 2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE.
  • Zürn, M., Kienzlen, A., Klingel, L., Lechler, A., Verl, A., Ren, S., & Xu, W. (2023, August). “Deep Learning-Based Instance Segmentation for Feature Extraction of Branched Deformable Linear Objects for Robotic Manipulation.” In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE) (pp. 1-6). IEEE.
  • Ren, S., Wu, X., Shi, D., Jikui, A., & Lv, X. “A Potato Earth Breaking Excavating Device” (Authorization Notice No.: CN 209489155 U).
  • Fu, Y., Ren, S. Y., Tang, P., Leng, Y. C., Chen, X. H., Tu, X. Y., & Lv, X. R. (2023). “Design and simulation test of digging device for small potato harvester.”
  • Wu, T., Zhang, Z., Ren, S., Guo, L., Zhang, Y., & Zeng, Y. (2023, November). “A Hybrid Evolutionary Algorithm for Stochastic Robot Disassembly Line Balancing Problem.” In 2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-6). IEEE.
  • Tang, P., Ren, S., Jikui, A., Liu, Z., & Lv, X. (2021). “Design of a potato stubble cutting machine for side delivery.” In E3S Web of Conferences (Vol. 260, p. 03018). EDP Sciences.
  • Jikui, A., Lv, X., Ren, S., & Yang, H. (2019, April). “Design of hydraulic corn picking device.” In 2019 3rd International Forum on Environment, Materials and Energy (IFEME 2019) (pp. 130-133). Atlantis Press.

 Accolades and Recognition 🏆

His academic excellence has been recognized through several scholarships and awards:

  • 2nd-class scholarship (11/2018, 11/2019)
  • 3rd-class scholarship (11/2020)
  • 2nd Prize of Campus Integrity Culture Competition (10/2020)
  • China Scholarship Council (05/2022)

 Impact and Influence 🌍

His research has a significant impact on both the academic community and practical applications. His work in machine vision and deep learning for robotic systems contributes to advancements in automation technology, with potential applications in various industries, including agriculture and manufacturing. His contributions are particularly relevant in enhancing the efficiency and sustainability of agricultural practices.

 Legacy and Future Contributions 🔮

He is poised to leave a lasting legacy in the fields of mechatronics and agricultural engineering. His innovative research and practical contributions to mechanized systems and robotic technology pave the way for future advancements. As he continues his PhD at The University of Auckland, his ongoing projects and future endeavors are expected to further enhance the field and inspire future researchers and engineers.

Citations

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Notable Publications