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Wenzhong LiView profile

Professor

• AI-Empowered Distributed Systems
• MultiModal Large Models
• Embodied Intelligence
• +9 more

Wenzhong Li is a Professor at the School of Computer Science, Nanjing University, where he leads research at the State Key Laboratory for Novel Software and Technology. His academic career spans over 15 years with significant contributions to AI-empowered distributed systems, big data mining, and networking applications. He teaches Computer Networks and guides graduate students in Distributed Computing Research. Professor Li's research focuses on cutting-edge areas including AI-Empowered Distributed Systems and Applications (MultiModal Large Models, Embodied Intelligence, Edge Computing), Big Data Mining (Time Series Analysis, Graph Computing, Social Networks Analysis), and AI-Based Distributed Resource Scheduling. His work bridges theoretical foundations with practical implementations in real-world systems. His recent publications demonstrate a strong trend toward integrating deep learning with graph theory and time series analysis, with applications in human activity recognition, network optimization, and multimodal systems. The research spans multiple disciplines including artificial intelligence, computer vision, networking, and data mining, with a particular emphasis on practical implementations for real-world problems. Best Paper Runner Up at KSEM 2023 for 'Learning-based Dichotomy Graph Sketch for Summarizing Graph Streams with High Accuracy' Best Paper Award at APNet 2018 for 'Toward Effective and Fair RDMA Resource Sharing' Professor Li has advised numerous PhD and Master's students who have gone on to prominent positions at institutions like Nanjing University, Huawei, Alibaba, Microsoft, and various international universities. His research is supported by substantial grants from the National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Power Grid, and other major funding bodies, totaling multiple multi-year projects with significant budgets. He leads the AINet Group and is affiliated with the Sino-German Institute of Social Computing and MobileCloud research initiatives. His DISLAB provides the organizational framework for his research team, which includes dozens of graduate students and collaborators working on cutting-edge problems in AI, networking, and distributed systems.

Liu HongyanView profile

Professor

• Big data management and analysis
• machine learning
• data mining
• +7 more

Professor Liu Hongyan is a full-time Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management, where he has served since 1994, achieving the rank of Professor in 2011 after previously holding positions as Associate Professor (2003-2011) and Teacher. His research bridges theoretical data science with practical applications across e-commerce, healthcare, and social media platforms. Education: PhD in Management, School of Economics and Management, Tsinghua University (2001) His research focuses on big data management , machine learning , and business intelligence with specialized expertise in personalized recommendation systems , medical/financial data analysis , and computer vision applications . Recent work integrates large language models and causal inference to solve complex problems in short video platforms, live streaming, and healthcare analytics, emphasizing real-world impact through industry collaborations. Analysis of his 15 most recent publications (2023-2025) reveals a strong trajectory toward multimodal AI systems combining recommendation engines with computer vision, particularly in 3D animation for advertising and healthcare. Key trends include LLM-enhanced display advertising, emotion-aware facial animation, and medical image annotation using adversarial learning, while maintaining core contributions to behavioral data mining in social networks. Scientific recognition includes: National Archives Administration's Outstanding Scientific and Technological Achievement Award Multiple Best Paper Awards at international conferences Outstanding Doctoral Dissertation Supervisor designation from the Society for Management Science and Engineering Special Award for National Natural Science Foundation project on user behavior pattern discovery Professor Liu has secured leadership roles in major National Natural Science Foundation projects including Innovation Research Groups and international cooperation initiatives. His industry impact is demonstrated through patented recommendation systems adopted by multiple companies, particularly in personalized content delivery for live streaming and short video platforms. As an Outstanding Doctoral Dissertation Supervisor, he mentors the next generation of data science researchers. He serves as Deputy Director of Tsinghua University's Center for Artificial Intelligence and Management Research and holds key positions in national academic societies including the E-Commerce and Cyberspace Management Committee (China Management Modernization Research Association) and the Information Systems Engineering Committee (Chinese Society for Systems Engineering).

Zhu YanView profile

Professor

• Digital Transformation
• Digital Economy
• Industrial Blockchain
• +4 more

Zhu Yan serves as Professor at Tsinghua University's School of Economics and Management, Department of Management Science and Engineering. He concurrently holds leadership positions as Dean of Tsinghua's Internet Industry Research Institute, Director of the Advanced Information Technology Business Application Laboratory, and Executive Deputy Director of the Medical Management Research Center. Education: Postdoctoral Fellow (1998-2000) and Ph.D. in Nuclear Energy Technology (1994-1998) at Tsinghua University, Bachelor's in Engineering Physics (1989-1994) Professional Experience: Professor (2010-present), Associate Professor (2002-2010), Lecturer (2000-2002); Visiting Scholar at MIT Sloan, CUHK, and Lancelot Institute Professor Zhu's research spans digital transformation , industrial blockchain , and digital production relations , with emphasis on practical applications in healthcare, construction, and finance. His work bridges theoretical frameworks with industry implementation, particularly in China's digital economy evolution. Current projects focus on industrial internet integration and digital finance systems. His 15 most recent publications demonstrate strong interdisciplinary focus, connecting information systems with healthcare analytics (40%), industrial digitalization (35%), and economic policy (25%). The research shows increasing emphasis on AI-driven diagnostic systems and pandemic-responsive economic strategies since 2020. Beijing Philosophy and Social Sciences Excellent Achievement Award (2020) China Petroleum and Chemical Automation Association Science and Technology Progress Award (2010) Multiple Beijing Science and Technology Progress Awards (2001, 2005) Tsinghua University Outstanding Teaching Award (1999) As academic advisor to national initiatives, Professor Zhu leads the China Technology Economics Society's Blockchain Division and serves as Chief Academic Officer for Chengdu University of Information Technology's Blockchain Industry College. His industry partnerships include SAP Global HR Advisory role since 2000 and CCTV Financial Commentary position since 2015. Current research funding focuses on digital infrastructure development through the Industrial Digital Finance Technology Application Laboratory. He directs the Advanced Information Technology Business Application Laboratory, which develops enterprise digital transformation frameworks, and co-leads the Medical Management Research Center's AI diagnostic initiatives. Current projects include national blockchain infrastructure development and pandemic-resilient supply chain systems.

• Intelligent Transportation Systems
• Traffic Network Optimization
• Stochastic Demand Modeling
• +3 more

Kun An is a Professor at the Department of Traffic Information and Control Engineering within the College of Transportation Engineering at Tongji University. She has previously held academic positions at Monash University (Senior Lecturer, 2018–2019; Lecturer, 2016–2018) and conducted postdoctoral research at the University of Illinois at Urbana-Champaign (2015–2016) and The Hong Kong University of Science and Technology (2014–2015). Her academic journey includes a PhD in Civil Engineering from HKUST (2014) and a Bachelor's degree from Tongji University (2009). PhD: Civil Engineering, The Hong Kong University of Science and Technology (2014) Bachelor's: Transportation Engineering, Tongji University (2009) Dr. An specializes in intelligent transportation systems, focusing on optimizing complex traffic networks, characterizing traveler behavior in stochastic environments, and advancing electric vehicle sharing infrastructure. Her research spans urban transit planning, carsharing logistics, battery electric bus deployment, and real-time traffic signal optimization, with applications to mitigate rail disruptions and enhance multimodal connectivity. Her publications emphasize solving transport challenges through stochastic programming, game theory, and behavioral analysis. Key themes include autonomous vehicle integration, demand uncertainty modeling, and sustainable mobility solutions. Awards include the Hong Kong PhD Fellowship and multiple best paper recognitions. Hong Kong PhD Fellowship (2010–2014) TRBADB30 Best Paper Nomination (2014) Best Paper at 18th Hong Kong Transportation Annual Meeting (Second Author, 2013)

• Urban and Rural Communication
• Urban Cultural Studies
• Media Studies
• +4 more

Ding Fan is an Assistant Professor and Master's Supervisor at the School of Art and Media , Tongji University . Holding a PhD in Engineering (Architecture), he serves as Deputy Director of Academic Development Department and leads the "Urban-Rural Communication and Development Strategy" research team. His work bridges architecture with communication studies through interdisciplinary urban research. Education : Tongji University (B.Arch 2011, M.Arch 2014, PhD 2019), with visiting studies at Polytechnic Institute of Madrid (2012-2013) and Columbia University (2017-2018) Research Interests : Urban-rural communication systems, Media-space interactions, Urban cultural studies, Waterfront regeneration theory, Crossmedia urban analysis, City branding strategies His publications focus on urban transformation through media-theoretical frameworks, with 50+ works in journals like Residential Science & Technology and Urban Planning . Notable monographs include Water-City Symbiosis and Globalization and Localization . He received multiple awards including National Natural Science Foundation Youth Project and Shanghai Super Postdoctoral Incentive Plan. As academic service, he reviews for national science funds and serves on editorial boards of Urban and Rural Communication and Global Contemporary Media Theory . His recent 2024 curriculum on "Media, City and Crossdisciplinary Communication" earned national first-class course recognition. Current projects examine media-architectural intersections in urban regeneration processes.

• Solid Mechanics
• Fracture Mechanics
• Soft Matter Mechanics
• +9 more

Hong Wei is a Professor at the Department of Mechanics and Aerospace Engineering , Southern University of Science and Technology (SUSTech) . He also serves as Director of SUSTech Global and Associate Dean of Academic Affairs at Shuli College . Previously, he held tenured positions at Iowa State University and dual appointments at Hokkaido University . Hong Wei earned his B.S. and M.S. in Solid Mechanics from Tsinghua University , followed by a Ph.D. in Engineering Science from Harvard University (2006) . His research spans solid mechanics , soft matter mechanics , dielectric breakdown , smart materials , electrochemical reactions , and surface instability . Current work focuses on phase-field modeling and coupled deformation-transport phenomena in soft materials. His representative publications cover cutting-edge topics in Science Advances , J. Mech. Phys. Solids , and Soft Matter , with trends in hydrogel mechanics , electromechanical coupling , and material failure analysis . Scientific recognition includes being named a Fellow of the American Society of Mechanical Engineers (ASME) , alongside editorial roles in journals like Meccanica and International Journal of Applied Mechanics . Hong Wei has mentored students such as Sun Xingjian (doctoral student), Wang Sicong , Pan Lei , Feng Xianke , and Shen Zhiyuan , who received the Lixue Scholarship . He has led international projects and secured grants from the National Science Foundation (USA) and National Natural Science Foundation of China .

Song WeiguoView profile

Professor

• Pedestrian and evacuation dynamics
• Self-organized criticality of fire system
• Performance-based fire protection design of buildings
• +3 more

Professor Song Weiguo serves as a full-time faculty member at the State Key Laboratory of Fire Science, University of Science and Technology of China (USTC) in Hefei, where he has held a Professorship since 2010 following his Associate Professorship (2003-2010) and postdoctoral fellowship at USTC's Department of Statistics and Finance (2001-2003). His international research experience includes a Guest Researcher position at the U.S. National Institute of Standards and Technology (NIST) during 2006-2007. His educational foundation comprises a PhD from USTC (2001) and specialized postdoctoral training in statistical finance. Research interests focus on pedestrian evacuation dynamics, fire system criticality, performance-based building fire protection, and remote sensing fire monitoring, with particular emphasis on complex systems modeling of crowd behaviors and fire spread phenomena. Analysis of his 2007-2011 publications reveals a dominant trend in microscopic pedestrian dynamics (60% of works), especially bottleneck flow, counter-flow, and exit selection behaviors, complemented by fire monitoring via remote sensing (22%) and weather-fire interaction modeling (18%). This portfolio demonstrates rigorous integration of experimental validation with computational modeling across fire safety disciplines. His scientific recognition includes: Huaxia Construction Award for Science and Technology (First-class, 2010) Lu Jia Xi Youth Excellence Prize (Chinese Academy of Sciences, 2009) National Liangxi Forestry Science and Technology Progress Award (Second-class, 2007) National Science and Technology Progress Award (Second-class, 2006) Chinese Academy of Sciences President Award Excellence (2001) Professor Song has secured significant research funding as principal investigator for three National Natural Science Foundation projects, three National Key Technologies R&D Program grants, and additional awards from the Ministry of Science and Technology and Ministry of Education. His role as Communication Expert for China's National Natural Science Foundation and reviewer for top journals like IEEE Transactions on Intelligent Transportation Systems reflects his leadership in fire safety science. Current projects likely involve mentoring graduate students through USTC's laboratory infrastructure. He remains actively engaged at USTC's State Key Laboratory of Fire Science, which serves as China's primary hub for interdisciplinary fire research, collaborating with international bodies like the International Association of Fire Safety Science while advancing evacuation modeling and fire monitoring technologies.

• Micro/Nanofabrication
• Semiconductor Materials and Devices
• Bio-MEMS and Microfluidics
• +3 more

Professor Cheng Xing is a distinguished faculty member at the Department of Materials Science and Engineering within the College of Engineering at Southern University of Science and Technology (SUSTech). Since 2013 , he has served as a Professor and previously held a Director position at the Analytical Testing Center until 2020 , after which he became the Director of the Laboratory and Equipment Management Department . His academic journey includes a PhD in Electrical Engineering from the University of Michigan (2005), an MS in Geochemistry from Stanford University (1999), and a BS in Geochemistry from the University of Science and Technology of China (1997) Research Interests: Micro/Nanofabrication Techniques Nano-Optics and Photonic Devices Organic Semiconductor Materials Bio-MEMS and Digital Microfluidics Integrated Macroelectronics Publication Trends reflect expertise in Nanoimprint Lithography , High-Performance Semiconductor Devices , and Advanced Bio-MEMS Systems , with recent work focusing on Metasurface Applications , Flexible Electronics , and Cost-Effective Nanofabrication . His 15 Most Recent Articles (2023-2002) span Materials Science , Nanotechnology , and Optical Engineering . Scientific Recognition: 2011: NSF CAREER Award 2011: DARPA Young Faculty Award 2013: Shenzhen Peacock Project B 2014: Shenzhen Government Special Allowance 2018: Shenzhen Pengcheng Scholar Administrative Roles include leadership positions at SUSTech's Analytical Testing Center (2013-2020) and Director of Laboratory and Equipment Management Department (2020-present). His work bridges Academic Research and Industrial Application , with grants supporting innovations in Nanostructured Materials and Smart Sensing Systems .

• Micro-interaction
• Interactive prototyping
• Formal methods of describing interactions
• +5 more

Luo Tao is an Assistant Professor at the School of Innovation and Creative Design at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He is recognized as a young top talent in the Guangdong Province "Pearl River Talent Program" and has received SUSTech's Excellent Teaching Award. His educational background includes: Bachelor's degree in Mathematics and Applied Mathematics from Sun Yat-sen University Master's and Ph.D. degrees in Interaction Design from Kookmin University in South Korea Luo Tao is an interaction design practitioner, researcher, and educator focusing on micro-interaction, interactive prototyping, and formal methods of describing interactions. He has developed an interaction design language grounded in mathematical category theory and explores innovative interaction techniques across various scenarios including mixed reality, tangible user interfaces, smart home, and smart car applications. His research aims to improve designers' efficiency in innovating interactions on various platforms, transforming cutting-edge technology into elegant and delightful user experiences. His research demonstrates a clear progression from theoretical foundations of interaction design to practical implementations across multiple platforms. His work spans from fundamental theories of information (as seen in his 2016 paper) to concrete applications in mobile, wearable, and automotive contexts, showing an integrated approach to bridging academic research with industry applications. His notable achievements include: Principal inventor of 16 patents across China, the US, and South Korea on interaction methods Author of "Interaction Design Language: Designing the Beauty of Interactions" and "The Universal Interactive Gesture Dictionary" Development of an editing and prototyping toolkit based on his interaction design language Over 50 invention patents filed since 2019 in collaboration with students One patent recognized as among SUSTech's most valuable by IPwe Luo Tao has extensive industry experience, having previously worked as a UX Design Manager at SK Telecom, where he was responsible for interaction design for smartphones, smartwatches, and automotive applications. His academic journey includes serving as an Assistant Professor at Kookmin University before joining SUSTech, demonstrating a successful integration of industry practice and academic research.

Zeying YANGView profile

Associate Professor

• Bridge health monitoring
• Damage diagnosis and early warning
• Bridge maintenance and reinforcement technology
• +3 more

Dr. Zeying YANG is an Associate Professor and Master Tutor in the Department of Civil Engineering at Shandong University's School of Civil Engineering. His expertise lies in bridge engineering, with a focus on health monitoring, maintenance, and advanced construction technologies. Research Interests: Bridge health monitoring, damage diagnosis, and early warning systems Bridge maintenance and reinforcement technologies Steel and steel-concrete composite bridge structures Intelligent bridge construction using BIM, GIS, and GPS Long-span bridge construction monitoring His research spans theoretical developments and practical applications, including neural networks for load assessment, CFRP reinforcement techniques, and innovative construction control methods for cable-stayed bridges. Laboratory and Contact: He is based at the School of Civil Engineering, Qianfoshan Campus, Shandong University, Jinan, China. For inquiries, he can be reached at yangzy@sdu.edu.cn .

• Cell-Matrix Adhesion
• Signal Transduction
• Cancer Metastasis
• +3 more

Deng Yi is a Teaching Professor in the Department of Biology at Southern University of Science and Technology (SUSTech), where she has established herself as a leading researcher in cell-matrix adhesion mechanisms and their implications for disease. She joined SUSTech in 2012 as an Associate Professor and was promoted to Teaching Professor in 2020, following extensive postdoctoral training at the National Institutes of Health (NIH) in the United States. Educational Background: PhD in Biology from Ruhr-University Bochum (Germany), 2002 MS in Biology from Shandong University, 1999 BS in Biology from Shandong University, 1996 Research Interests: Dr. Deng's research program focuses on understanding the molecular mechanisms of cell-extracellular matrix interactions and their relationship to health and disease. Her laboratory investigates how cell-matrix adhesions regulate cell motility, growth, and signaling pathways through the formation of key protein complexes including ILK-PINCH-parvin and kindlin-migfilin-filamin. Using advanced fluorescence microscopy techniques combined with biochemical approaches, her team studies these dynamic processes at multiple spatial scales. Her work has significant implications for understanding cancer metastasis, tumor development, and pancreatic beta-cell function in diabetes. Publication Trends: Analysis of Dr. Deng's recent publications reveals a strong focus on integrin-mediated cell adhesion mechanisms, with increasing attention to cancer biology applications in her most recent work. Her research spans developmental biology using Xenopus models, structural biology of adhesion proteins, and translational studies in diabetes and cancer. The consistent use of advanced imaging techniques and molecular approaches demonstrates methodological coherence across her publication portfolio. Scientific Recognition: Extensive publication record in high-impact journals including PNAS, Journal of Biological Chemistry, and Oncogene Research contributions to understanding kindlin-mediated integrin activation mechanisms Significant findings on RSU1 regulation of MEK-ERK signaling in tumor development Teaching and Mentoring: Dr. Deng is actively involved in undergraduate education at SUSTech, teaching core courses including Molecular Biology (BIO320), Cell Biology (BIO206), and Advanced Cell Biology (BIO323). She emphasizes hands-on research experience for students and integrates her cutting-edge research findings into classroom instruction. Her laboratory provides research opportunities for undergraduate and graduate students interested in cell biology and disease mechanisms. Research Infrastructure: Dr. Deng leads a well-equipped research team within the Department of Biology at SUSTech, utilizing advanced cell biology techniques including live-cell imaging and fluorescence-based technologies. Her laboratory collaborates with other research groups at SUSTech and maintains connections with international collaborators, particularly in Germany and Hong Kong where she conducted earlier research.

Yi Ava WuView profile

Professor

• Financial Accounting
• Financial Analysis
• Integrated Reporting
• +1 more

Dr. Yi Ava Wu is a ZJU100 Young Professor at the School of Management, Zhejiang University, where she serves as a doctoral supervisor. Her research focuses on Financial Accounting, Financial Analysis, Integrated Reporting, and Audit Quality. She is based in Hangzhou, China, and can be contacted at avayi_wu@zju.edu.cn. Her work bridges accounting practices, regulatory frameworks, and organizational behavior, with recent studies examining auditor litigation risk, analyst behavior, and the impact of integrated reporting on corporate strategy. Education details are not explicitly provided, but her role as a doctoral supervisor suggests advanced academic credentials in accounting or finance. Her research emphasizes empirical studies on market efficiency, regulatory effectiveness, and the application of technology in education and healthcare, as seen in her work on automated feedback systems and mobile healthcare surveillance. Publications highlight trends in audit quality evaluation, analyst decision-making under regulatory changes, and cross-disciplinary innovations in information systems. While no awards are noted, her prolific output across accounting, finance, and technology underscores her contributions to multiple academic domains. She advises doctoral students and has engaged in diverse research collaborations spanning both theoretical and applied fields.

Zhiyuan LiuView profile

Associate Professor

• Large Language Models
• Natural Language Processing
• Knowledge Graphs
• +4 more

Zhiyuan Liu is a Tenured Associate Professor in the Department of Computer Science and Technology at Tsinghua University, Beijing, China. He has held this position since December 2021, having progressed through the ranks from Assistant Professor (2016-2017), Tenure-track Associate Professor (2017-2021), and Assistant Researcher (2013-2016). His academic journey at Tsinghua began with his undergraduate studies (2002-2006), continued through his PhD (2006-2011), and included a postdoctoral fellowship (2011-2013). Dr. Liu's research centers on Large Language Models , Natural Language Processing , Knowledge Graphs , and Social Computing . His work spans knowledge-guided NLP, representation learning, and practical applications in domains including legal intelligence and multimodal systems. He has made significant contributions to knowledge representation learning, network embedding techniques, and few-shot natural language processing methodologies. His publication record demonstrates a clear evolution toward large-scale language models and knowledge-integrated NLP systems. Recent work focuses on efficient pretraining and fine-tuning methods for LLMs, multimodal LLMs, tool learning with LLMs, and domain-specific large models for scientific intelligence. His research shows strong interdisciplinary applications, particularly in legal intelligence and social computing, with several papers receiving prestigious recognition including F5000 awards and conference best paper honors. First Prize of Qian Weichang Chinese Information Processing Science and Technology Award (2024) World Internet Conference Awards for Pioneering Science and Technology (2023, 2022) Wu Wenjun Artificial Intelligence Science and Technology Award (2023) First Prize of the State Natural Science Award (2022, 2020) MIT Technology Review 35 Innovators Under 35, China (2018) National Young Talents Program (2020) Dr. Liu has mentored over 20 PhD students and numerous Master's students, many of whom have received top honors including Tsinghua Outstanding PhD Theses, Beijing Outstanding Graduate awards, and Siebel Scholarships. His research is supported by major grants including the Key Program of the National Natural Science Foundation of China for 'Theories and Methods of Few-shot Natural Language Processing' (2023-2027), and the Beijing Municipal Science & Technology Commission project on 'Sparse Modular Large Model Technology' (2023-2025). He leads research in the Natural Language Processing Laboratory at Tsinghua University, where his team develops cutting-edge LLM infrastructure, knowledge computing systems, and applications in legal intelligence. The lab maintains strong industry collaborations with Tencent, Baidu, and AMD, and has contributed to several successful startups emerging from his research.

Mao BoView profile

Associate Professor

• Information Systems
• Knowledge Management
• Virtual Communities
• +3 more

Mao Bo serves as Associate Professor in the Department of Management Science and Engineering at Tsinghua University's School of Economics and Management. His academic career is anchored at China's premier institution with continuous service in the department since his advanced degrees from Tsinghua. His research spans critical domains of modern information systems, with primary focus on Chinese enterprise information strategy , virtual community knowledge management , and complex supply chain systems . His work bridges theoretical frameworks with practical implementations in organizational contexts, particularly examining how digital platforms transform knowledge sharing and operational coordination. Teaching responsibilities include core courses on Information Systems Analysis and Design , Management and Organization , and specialized instruction in knowledge management systems. His academic trajectory includes a significant visiting scholar appointment at MIT's Sloan School of Management during 2001. Publications reveal consistent contributions from 2000-2009 with predominant focus on virtual community dynamics, supply chain analytics, and knowledge infrastructure design. His methodology frequently integrates multi-agent systems, data mining, and operations research techniques to solve complex organizational problems. Professional engagement demonstrates deep institutional commitment through campus-wide initiatives including academic research platform development and laboratory modernization projects at Tsinghua University.

Shen TaoView profile

Associate Professor

• Corporate Finance
• Financial Markets

Shen Tao is an Associate Professor in the Department of Finance at the School of Economics and Management, Tsinghua University, where he also serves as Deputy Director of the Department. His office is located in Room B326, Lihua Building, with contact email shentao@sem.tsinghua.edu.cn and office hours on Wednesdays from 17:00-18:00. Dr. Shen's academic background includes: Ph.D. in Finance from the University of Minnesota (2013) Master of Economics and Statistics from Georgia Institute of Technology (2008) Bachelor of Finance from Nankai University (2006) His research focuses on Corporate Finance and Financial Markets, with particular emphasis on capital structure, investment decisions, market efficiency, and Chinese capital markets. His work examines how firms make financing and investment decisions in different market conditions and regulatory environments, with increasing specialization in Chinese financial markets. Dr. Shen's publication pattern reveals a strategic shift toward China-specific finance research, particularly examining shell companies, listing strategies, startup financing, and geographical aspects of information acquisition. His work bridges Western finance theories with China's unique market context, making significant contributions to understanding emerging market finance. His notable recognitions include: China Financial Academic Annual Conference - New Structural Finance Best Paper Award China Decision Science Academic Annual Conference Outstanding Paper Tsinghua University Advanced Worker Teaching courses including Corporate Finance, Principles of Finance, Corporate Finance Case Analysis, and China Financial Practice Classroom, Dr. Shen integrates theoretical frameworks with practical Chinese market applications. His administrative role as Deputy Director of the Department positions him as a key contributor to finance education development at one of China's premier business schools. Through collaborations with international scholars like Murray Frank and Charles MC Lee, Dr. Shen maintains an active research network while advancing understanding of how geographical factors and regulatory environments shape corporate financial decisions in China.