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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.

• Neural Video Communication
• Smart Cameras
• Computational Vision Models
• +3 more

Zhan Ma is a Professor and PhD Advisor at the School of Electronic Science and Engineering, Nanjing University. He leads research in Neural Video Communication, Smart Cameras, and Computational Vision Models. His work focuses on end-to-end learning for compression, networking, and hardware-software co-design. Dr. Ma holds a PhD from New York University's Tandon School of Engineering (2010), and prior to his current role, he served as Senior Staff Researcher at Huawei (2013-2015) and Senior Researcher at Samsung (2011-2013). Research highlights include pioneering work in point cloud compression (adopted into IEEE standards) and dual-camera systems for high-resolution video acquisition. His algorithms are deployed in WeChat/WeChat Video for rate-quality optimization and in ISO standards for video complexity indicators. Recent work emphasizes machine learning-driven approaches for image/video compression and adaptive streaming frameworks. Honors include the 2023 IEEE CAS Society Outstanding Young Author Award and multiple best paper awards at IEEE WACV, BMSB, and other venues. He leads the Vision Lab at Nanjing University and collaborates with industry partners on practical implementations of his research.

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).

• Intelligent imaging
• Animation games
• AIGC (Artificial Intelligence Generated Content)
• +2 more

Ma Xufeng is an Assistant Professor in the Animation Department at the School of Art and Media, Tongji University , Shanghai. She earned her PhD in Image Arts from Chung-Ang University, South Korea , and completed a postdoctoral fellowship at the School of Journalism and Communication, Tsinghua University . Her research bridges intelligent imaging, animation games, AIGC, new media art, and the metaverse , focusing on intelligent image production and dissemination, AI-driven art therapy, and serious games . Education: PhD in Image Arts, Chung-Ang University, South Korea (2018.09–2021.02) Master of Image Arts, Chung-Ang University, South Korea (2016.09–2018.06) Bachelor of Art Design (Animation), Zhongnan University of Economics and Law, China (2011.09–2015.07) Research Interests: Dr. Ma’s scholarship sits at the intersection of artificial intelligence, digital media, and therapeutic applications . She explores how AI-generated content (AIGC) can revolutionize animation, game design, and immersive storytelling . A second strand investigates serious games and VR systems for autism rehabilitation and emotional therapy , leveraging game psychology to craft interventions that blend aesthetics, technology, and mental health . Publications & Research Trends: Her most recent work (2021-2024) charts a trajectory from VR-based rehabilitation games to AI painting for art therapy , demonstrating a shift from interactive technology prototypes toward critical and aesthetic theories of AI art . Collectively, her publications map the evolution of intelligent media ecosystems and their societal impact. Scientific Awards & Grants: Principal Investigator, Korean BK21+ CFT Convergence Research Project – VR immersive game for autistic children (2020) Principal Investigator, Korean BK21+ CFT Convergence Research Project – Fitness-bicycle functional game (2019) Special Selection Award, Seoul International Animation & Cartoon Festival (2020) Nomination, Golden Kuker–Sofia International Animation Festival (2020) Teaching & Labs: At Tongji University, Dr. Ma contributes to undergraduate and postgraduate curricula in animation, new media art, and game design . She is affiliated with the Omnimedia Research Institute and the Media Experiment and Practice Teaching Center , where she guides students in AI-driven content creation and VR/AR prototyping .

Jianke ZhuView profile

Professor

• Computer Vision
• Machine Learning
• 3D Reconstruction
• +3 more

Jianke Zhu is a Professor at the College of Computer Science and Technology of Zhejiang University . He obtained his Ph.D. in Computer Science and Engineering from The Chinese University of Hong Kong and conducted postdoctoral research at the BIWI Computer Vision Lab, ETH Zurich . His research focuses on Computer Vision and Machine Learning , with a particular emphasis on 3D scene understanding, LiDAR-based mapping, and neural rendering. Dr. Zhu’s research spans several subfields, including 3D Reconstruction , Semantic Segmentation , Multimodal Learning , and Autonomous Driving . His work integrates Neural Networks , LiDAR Processing , and Uncertainty Quantification to address challenges in real-time and adverse conditions. Selected Recent Trends: 2025 publications highlight his work in Hexagonal Mesh-based Neural Rendering , Instance-aware 3D Scene Understanding , and Efficient Visual Projectors for Multimodal LLMs . Earlier works include Box2Mask for Instance Segmentation (2024) and Token Selection for Point Cloud Learning (2025). Scientific Awards : Senior member of the IEEE Advising and Grants : As a Doctoral Supervisor , he mentors students in advanced topics like LiDAR Odometry and Multi-view Stereo Recovery . His projects have attracted funding for autonomous driving , 3D scene modeling , and neural rendering .

• High-Performance Integrated Circuit Design
• Artificial Intelligence Accelerators
• Digital Signal Processing Chips
• +3 more

Dr. Fengwei An is an Associate Professor at the Shenzhen-Hong Kong Institute of Microelectronics , Southern University of Science and Technology (SUSTech). He earned his Ph.D. in Engineering from Hiroshima University (2013) , following a Master's (2010) and Bachelor's (2006) from Qingdao University of Science and Technology. Current Role : 2025-Present - Associate Dean and Associate Professor, SUSTech Shenzhen-Hong Kong Institute of Microelectronics Prior Academic Roles : 2017-2018 - Associate Professor, Hiroshima University; 2013-2017 - Assistant Professor, Hiroshima University Industry Experience : 2018-2019 - Chief Engineer, Panasonic Semiconductor Co., Ltd., Japan Research Interests focus on low-power edge artificial intelligence chip design for computer vision, including: Ultra-large-scale digital integrated circuit design System-on-Chip (SoC) integration Image processing and recognition Machine learning hardware Autonomous driving applications High-speed motion tracking systems Publications include over 80 top-tier journal/conference papers (e.g., TCAS-I/II, ESSCIRC, APCCAS) on AI accelerators, stereo vision processors, and sensor interfaces, with 15 recent articles highlighting advancements in stereo matching, video denoising, and reconfigurable coprocessors. Scientific Awards : 2023 - SUSTech Outstanding Teaching Award 2022 - APCCAS Best Paper Nomination 2022 - PrimeAsia Bronze Leaf Award 2020 - Wu Wenjun Artificial Intelligence Science and Technology Award (Second Prize) Patents : 9 Chinese and 3 Japanese inventions in AI chip design, stereo matching systems, and sensor interfaces.

• Smart Manufacturing
• Quantum Control
• Artificial Intelligence
• +4 more

Prof. Zhaoyuan Ma is a tenured professor at the School of Automation and Intelligent Manufacturing, Southern University of Science and Technology (SUSTech), with prior appointments at Tsinghua University's Future Lab (2018-2022), University of Sheffield (2017-2020), and Chinese Academy of Sciences (2009-2015). He holds a PhD in Atomic and Laser Physics from the University of Oxford (2005) and a B.Sc. in Nuclear Physics from Peking University (2001). Education: D.Phil., Atomic and Laser Physics, University of Oxford (2005) B.Sc., Nuclear Physics, Peking University (2001) His research spans Smart Manufacturing , Quantum Control , and Artificial Intelligence , with notable work on quantum engineering in microgravity environments and AI-driven biomedical imaging systems. Recent publications focus on coronary artery segmentation algorithms, optical lattice design for quantum systems, and cold atom dynamics. Key trends in his 15 most recent articles include AI applications in cardiovascular disease diagnosis, precision cooling techniques for quantum gases in microgravity, and optical lattice manipulation for quantum simulations. His work bridges theoretical quantum physics with practical manufacturing innovations. Scientific Awards: Hundred Talents Professor of Chinese Academy of Sciences (2009) Fellow of the Institute of Physics Prof. Ma has held leadership roles including Assistant Dean of Tsinghua Shenzhen International Graduate School (2020-2021) and directed the Data Driving Manufacturing Research Center at Tsinghua University's Future Lab (2018-2022). His career includes postdoctoral research at NIST, University of Maryland, UC Berkeley, and University of Oxford.

• Applied Signal Processing
• Inverse Problems
• Greedy Algorithms
• +5 more

Florian Bossmann is an Associate Professor at the College of Mathematics, Harbin Institute of Technology (HIT), specializing in Applied Signal Processing with a focus on algorithms and applications. His research encompasses inverse problems, greedy algorithms, sparsity, and compressed sensing, with applications in seismic exploration, ptychography, and video processing. He holds a PhD in Mathematics from the University of Göttingen (2013) and a Diplom in Mathematics from the University of Duisburg-Essen (2009). Current projects include NSFC-funded seismic data interpolation and a start-up grant for applied signal processing research. He teaches courses like 'Signal and Image Processing' and 'Calculus for Civil Engineering'. Supervising Master/PhD students in signal processing, he emphasizes collaboration and innovation. His lab, the ASP Group, explores cutting-edge methods in multidimensional data reconstruction and algorithm design. Prominent publications focus on impedance inversion, neural network applications in geoscience, and object reconstruction techniques. He has led collaborative research initiatives with institutions like the Fraunhofer Institute and the Helmholtz Center for Environmental Health.

Shangfei WangView profile

Professor

• Pattern Recognition
• Affective Computing
• Probabilistic Graphical Models
• +3 more

Shangfei Wang is a full Professor at the School of Computer Science and Technology, University of Science and Technology of China (USTC). His research focuses on pattern recognition, affective computing, and probabilistic graphical models, with significant contributions to facial expression analysis, emotion recognition, and multimodal human-robot interaction. He leads the Key Laboratory of Computing and Communication Software of Anhui Province and has received multiple international competition awards including placements in the OMG Empathy Prediction Challenge and Detecting Depression with AI Sub-Challenge. PhD in Computer Science, USTC (2002) MSc in Electronic Science and Technology, USTC (1999) BSc in Electronic Engineering, Anhui University (1996) His work combines domain knowledge with advanced machine learning techniques, including adversarial learning, dual learning, and multimodal deep regression Bayesian networks. Research themes include: Emotion-aware medical consultation systems Thermal image-based facial recognition Privileged information learning for emotion detection Spontaneous vs. posed expression differentiation EEG and physiological signal integration AI applications in mental health support Key projects include multiple National Nature Science Foundation of China grants and international collaborations with French institutions. He serves as Associate Editor for IEEE Trans. on Affective Computing and ACM Trans. on Multimedia Computing, and organized several international conference tracks.

• Auditory Physiology
• Vestibular Physiology
• Hearing and Balance
• +5 more

Dr. Fangyi Chen is an Associate Professor in the Department of Biomedical Engineering at Southern University of Science and Technology (SUSTech), where she has been faculty since 2012. She previously served as Executive Chair of the Department of Biomedical Engineering from 2016 to 2018. Her research focuses on auditory and vestibular physiology, with particular emphasis on developing innovative methods for evaluating hearing and balance function in model organisms. Dr. Chen received her academic training at prestigious institutions: BS in Biomedical Engineering from Tsinghua University (1997) MS in Biomedical Engineering from Tsinghua University (2000) PhD in Electrical Engineering from Boston University (2005) Postdoctoral training at Oregon Health and Science University (2005-2006) Dr. Chen's research program centers on auditory and vestibular physiology, with several major themes. She has pioneered the development of vestibular function testing systems for zebrafish and mice that use eye movements as primary parameters, enabling automated, quantitative, and precise evaluation of vestibular damage. Her work spans multiple disciplines including hearing physiology , vestibular function , inner ear hair cell development , mechanisms of vertigo and tinnitus , and animal behavior analysis . Her research instruments are used by institutions such as Stanford University, the University of Virginia, Creighton University, and Tsinghua University. Analysis of Dr. Chen's recent publications reveals a strong focus on translational research bridging basic science and clinical applications. Her work frequently employs zebrafish and mouse models to study hearing and balance disorders, with particular attention to hair cell development and regeneration , vestibular function assessment , and genetic models of hearing loss . Many of her publications appear in high-impact journals including Nature Neuroscience, Journal of Neuroscience, and Frontiers in Cellular Neuroscience, demonstrating the significance of her contributions to the field. Dr. Chen has received notable recognition for her work: The Recruitment Program of Global Youth Experts, China central government (2012) Postdoctoral Fellow, Cochlear Mechanics Lab, Oregon Hearing Research Center (2005-2006) Dean's Award for the best Poster in Science and Technology Day, Boston University (2003) Dean's Fellowship, College of Engineering, Boston University (2000-2001) Dr. Chen has been actively involved in mentoring students and securing research funding. Her laboratory has developed specialized equipment for vestibular function testing that is now used by multiple international institutions, indicating successful technology transfer and research impact. She has established collaborations with researchers across various disciplines, including neuroscience, genetics, and biomedical engineering. Her research team focuses on developing and applying advanced techniques for auditory and vestibular assessment, with particular expertise in video-oculography, behavioral analysis, and molecular approaches to study sensory function. The lab maintains specialized facilities for working with zebrafish and mouse models, including equipment for precise vestibular function testing without surgical intervention.

Jun ZhuView profile

Professor

• Probabilistic Machine Learning
• Adversarial Robustness
• Bayesian Methods
• +6 more

Jun Zhu is a Professor in the Computer Science Department at Tsinghua University and serves as Co-Director of the Tsinghua Artificial Intelligence Lab (TSAIL) and Director of the Tsinghua-Bosch Joint Center for Machine Learning. His research focuses on probabilistic machine learning, adversarial robustness, Bayesian methods, deep learning, and reinforcement learning. His recent work includes open-sourcing the Vidu video generator (2024), DPM-Solver for diffusion models (2024), and Tianshou deep RL library, with publications in top venues like ICLR and IEEE CoG. He has received prestigious awards including IEEE Fellow, AAAI Fellow, and MIT TR35 China recognition. Notable Awards: IEEE Fellow AAAI Fellow MIT TR35 China Pioneer (2017) NSFC Excellent Young Scholar (2013) Leadership: Co-Director, TSAIL Group Director, Tsinghua-Bosch Joint Center for ML Associate Editor-in-Chief, IEEE TPAMI

Wei ChenView profile

Professor

• Data Visualization
• Visual Analytics
• Biomedical Image Computing
• +5 more

Wei Chen is a Professor at the State Key Laboratory of CAD&CG, College of Computer Science, Zhejiang University, Hangzhou, China. His academic journey began and ended at Zhejiang University, where he earned both his Bachelor's (1996) and Ph.D. (2002) in Computer Science, followed by a visiting Ph.D. position at the Fraunhofer Institute in Germany (2000-2002) and a visiting scholar role at Purdue University (2006-2008). Research Focus: Visualization, Visual Analytics, Biomedical Image Computing, Big Data Analytics. Academic Leadership: Served on editorial boards of journals like IEEE Transactions on Visualization and Computer Graphics, Journal of Visual Informatics, and as Chair of IEEE Pacific Visualization Symposium. Impact: Over 110 IEEE/ACM Transactions and CCF-A papers, four Chinese textbooks on visualization, and two monographs on big data technology. His recent publications (2023-2024) span domains like visual analytics for health insurance fraud detection, quantum circuit visualization, federated learning visualization, urban mobility modeling, and AI-enhanced cultural heritage preservation. A thematic trend shows integration of deep learning, large language models, and human-in-the-loop systems with visual interfaces. Scientific Awards include the Zhejiang Province Natural Science First Prize (2021, 2017), CCF Technology Invention First Prize (2020), Wu Wenjun Artificial Intelligence Science and Technology Progress First Prize (2023), and multiple Best Paper/Poster recognitions at IEEE VIS and Pacific Visualization conferences. He actively mentors graduate students and leads the Visual Analytics Group , contributing to national and international standards in visualization research. His editorial and organizational roles in top conferences further solidify his influence in shaping the field.

Guanhua ChenView profile

Assistant Professor

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Applied Machine Learning
• +4 more

Dr. Guanhua Chen is an Assistant Professor in the Department of Statistics and Data Science at Southern University of Science and Technology (SUSTech). His research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and Multimodal AI, with applications in drug discovery and urban planning. He previously earned his Ph.D. from the University of Hong Kong and B.S./M.S. from Tsinghua University, with internships at Microsoft Research Asia and Huawei Noah’s Ark Lab. Education: Ph.D. in Computer Science (University of Hong Kong, 2022), B.S. and M.S. in Computer Science (Tsinghua University, 2012 & 2014) Dr. Chen's research explores LLMs, data synthesis, multimodal systems, and model compression. He leads a lab equipped with 16 RTX 4090 GPUs, 16 L40 GPUs, and 4 A100 GPUs, providing resources for students to experiment with open-source and proprietary LLM APIs. His recent publications highlight innovations in LLM jailbreaking, parameter-efficient tuning (MiLoRA), cross-lingual transfer (mCLIP), and evaluation frameworks for robustness testing. Notably, he was awarded the Microsoft Research Asia StarTrack Scholar in 2025. Key Publications: mCLIP (ACL 2023), ImPart (ACL 2025), MiLoRA (NAACL 2025) Dr. Chen actively seeks motivated PostDoc, PhD, and Master's students. He serves as an Area Chair for ACL and EMNLP and contributes to advancing AI through open-source projects like mCLIP on GitHub.

• Digital Economy
• Digital Transformation
• Big Data and Business Innovation
• +3 more

CHEN Yubo serves as Coca-Cola Chair Professor and Director of the Center for Internet Development and Governance at Tsinghua University's School of Economics and Management. A recipient of the National Science Fund for Distinguished Young Scholars, he ranks among Stanford/Elsevier's World Top 2% Scientists (2022) with extensive publications across premier marketing and business journals. His educational background includes: Ph.D. in Marketing, University of Florida M.Eng. in Systems Engineering, Southeast University B.Eng. in Industrial Management Engineering, Southeast University Prof. Chen's research pioneers digital economy transformation, focusing on big data innovation in networked environments and climate sustainability strategies. His work bridges theoretical marketing frameworks with China's digital evolution, examining platform economies, consumer behavior in social media ecosystems, and sustainable business models. Recent studies analyze mobile commerce dynamics, advertising spillovers in short-video platforms, and offline-online retail integration through advanced spatial analytics. His publication portfolio demonstrates consistent leadership in digital marketing research, with 15+ top-tier journal articles since 2010 spanning Journal of Marketing, Marketing Science, and Information Systems Research. Key thematic clusters include digital platform economics (35%), social media analytics (25%), sustainability marketing (20%), and retail transformation (20%), characterized by rigorous field experiments and large-scale behavioral data analysis. Major scientific recognitions include: National Science Fund for Distinguished Young Scholars Stanford/Elsevier World Top 2% Scientists (2022) INFORMS Frank M. Bass Best Paper Finalist Journal of Marketing MSI/Paul H. Root Award Finalist Journal of Interactive Marketing Best Paper Award Prof. Chen maintains active industry partnerships with Alibaba, JD.com, Baidu, and CITIC Bank through joint research initiatives, while serving on China's National Teaching Advisory Committee for Business Administration and as Editor-in-Chief of Journal of Marketing Science. His Center for Internet Development and Governance operates as a strategic hub for digital economy policy research, leveraging academic-industry collaboration to address China's technological transformation challenges.