جستجوی استاد راهنمای دانشگاهی

• Brain-computer interface
• Rehabilitation Robotics
• Machine Learning
• +۵ مورد دیگر

Dr. Yi-Feng Chen is a Research Assistant Professor and Master's Supervisor in the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) in Shenzhen, China. He joined SUSTech as a postdoctoral fellow in November 2020 and was promoted to Research Assistant Professor in February 2023. His academic journey includes interdisciplinary training across engineering, neuroscience, and biomedical applications. Dr. Chen's educational background includes: Ph.D. in Engineering from Wuhan University of Technology (2014-2017), supervised by Professor Quan Liu M.Sc. from Wuhan University of Technology (2011-2014), supervised by Professor Zhou Zude B.Sc. from Wuhan University of Technology (2007-2011) He also participated in exchange programs at Yuan Ze University in Taiwan (2012) and the University of Auckland in New Zealand (2015). Dr. Chen's research spans the intersection of biomedical engineering, neuroscience, and artificial intelligence, with particular focus on brain-computer interfaces and rehabilitation technologies. His work combines advanced signal processing techniques with clinical applications, especially in decoding neural signals for movement intention and monitoring brain states during anesthesia. His research has significant implications for neurorehabilitation, assistive technologies, and intraoperative neurophysiological monitoring. His recent publications demonstrate a clear trajectory toward increasingly sophisticated neural decoding techniques, with a focus on coordinated limb movements and practical rehabilitation applications. The work shows progression from basic EEG signal processing to complex bimanual movement decoding and robot-assisted rehabilitation systems, reflecting a translational research approach from basic science to clinical applications. Dr. Chen has secured significant research funding as principal investigator and core contributor on multiple projects: National Natural Science Foundation of China Youth Science Fund Project (2024-2026) Guangdong Natural Science Foundation General Project (2024-2026) Ministry of Science and Technology National Key R&D Program Project (2023-2026) Shenzhen Science and Technology Innovation Commission Key Project (2022-2025) As a Master's Supervisor, Dr. Chen mentors graduate students in biomedical engineering with focus on neural engineering and rehabilitation robotics. His laboratory collaborates closely with clinical partners to ensure research relevance to real-world medical challenges, particularly in neurorehabilitation and intraoperative monitoring.

• Analytical Chemistry
• Microfluidics
• Biomedical Engineering
• +۲ مورد دیگر

JIANG Xingyu is Chair Professor and Head of the Department of Biomedical Engineering at the Southern University of Science and Technology (SUSTech) . Since 2018 he has led a multidisciplinary team developing advanced micro- and nano-scale tools for analytical chemistry, microfluidics and nanomedicine. Education Postdoctoral Research, Harvard University (2004–2005) Ph.D. in Chemistry, Harvard University (2004) B.S. in Chemistry, University of Chicago (1999) Research Interests Professor Jiang’s research integrates analytical chemistry , microfluidics , biomedical engineering and nanomedicine . His laboratory designs microfluidic chips for point-of-care diagnostics, engineers gold nanoclusters and nanoparticles for antimicrobial and anticancer therapy, and develops soft flexible bio-electronics for neural interfaces and wearable health monitoring. Across 400+ publications, recent work demonstrates a clear trend toward translational nanomedicine : point-of-care viral variant detection, nanoantibiotic strategies against multidrug-resistant bacteria, CRISPR delivery systems for cancer therapy, and conformal electronic tattoos for human-machine interfaces. Scientific Awards & Honours Fellow, American Institute for Medical and Biological Engineering (2020) Fellow, Royal Society of Chemistry (2016) Tencent Science Exploration Award (2019) Chief Scientist, National Key R&D Program (2019–) National Science Fund for Distinguished Young Scholars (2010) Young Investigator Award, Human Frontier Science Program (2007) Research Funding & Teams He currently directs the Nanoscience Laboratory at SUSTech, hosts National Key R&D Program projects as Chief Scientist, and serves on editorial boards of Advanced Healthcare Materials , Lab on a Chip , Nanoscale Horizons , Nanoscale and Nanoscale Advances . The group is actively recruiting post-docs, research professors and technicians across chemistry, materials, biology and medical engineering disciplines.

Hong Huaqingمشاهده پروفایل

استاد

• Corpus Linguistics
• Computer-Assisted Instruction
• Machine Translation
• +۳ مورد دیگر

Hong Huaqing is a Professor and doctoral supervisor at the Corpus Research Institute of Shanghai International Studies University. He holds roles as honorary director of the Chinese Corpus Linguistics Research Association and international expert at Peking University's Education Development Center. Formerly, he worked at Nanyang Technological University (Singapore) in roles such as researcher at the Learning Research and Development Center and director of the e-Learning Center of the Lee Kong Chian School of Medicine. His research spans machine translation, natural language processing, corpus linguistics, and educational technology. He supervises master's and doctoral students, co-supervises postdoctoral researchers, and focuses on smart education driven by big data analysis and innovative learning ecosystems. Research emphasizes corpus-based methods applied to language education, including computational frameworks for student engagement, wearable sensors in learning analytics, and cross-linguistic rhetoric studies. His work bridges technological innovation (e.g., AI-driven tutorial systems) with pedagogical practice, addressing challenges in non-English language education and teacher training.

• Gene Transcription
• Epigenetic Regulation
• RNA Regulation
• +۱ مورد دیگر

Huanhuan CUI is a Research Associate Professor in the Department of Biology within the School of Life Sciences at Southern University of Science and Technology (SUSTech) in Shenzhen, China. She joined SUSTech in December 2018 and serves as a master's supervisor, contributing to both research and graduate education in molecular biology and genetics. Educational Background: PhD in Biology, Free University of Berlin (2011.09-2016.04) MS in Animal Genetics, Northwest A&F University (2008.09-2010.06) BE in Bioengineering, Northwest A&F University (2004.09-2008.06) Dr. CUI's research focuses on the mechanisms and method development of gene transcription and epigenetic regulation, with particular emphasis on RNA translation control. Her work spans multiple biological systems including cancer biology, developmental biology, and cardiovascular research, demonstrating a strong interdisciplinary approach that integrates molecular biology, genomics, and bioinformatics techniques. She has made significant contributions to understanding chromatin remodeling, transcriptional regulation, and RNA processing mechanisms. Dr. CUI's publication record shows a consistent trajectory of high-impact research, with publications in prestigious journals including Nature Communications, Nucleic Acids Research, and Cellular & Molecular Immunology. Her work demonstrates expertise in CRISPR-based technologies, epigenetic regulation, and multi-omics approaches to studying complex biological processes. Before joining SUSTech, Dr. CUI held positions as a Clinical Research Manager at BGI Genomics (2017.09-2018.11), a PostDoc at Charite Universitaetsmedizin Berlin (2016.05-2017.06), and a Research Assistant at Humboldt University of Berlin (2010.09-2011.08), building a diverse research background that bridges basic science and clinical applications.

• Electronic Design Automation (EDA)
• Analog/RF Circuit Simulation
• Multi-physics Analysis
• +۲ مورد دیگر

Dr. QUAN Chen is an Associate Professor at the School of Microelectronics, Southern University of Science and Technology (SUSTech), holding this position since May 2025 after serving as Assistant Professor (2019-2025) and Research Assistant Professor at the University of Hong Kong (2012-2018). A Shenzhen high-level overseas talent, he earned his PhD from the University of Hong Kong and conducts cutting-edge research in electronic design automation. His academic credentials include: Ph.D. from The University of Hong Kong (2010) Master's degree from The University of Hong Kong (2007) Bachelor's degree from Sun Yat-Sen University (2005) Dr. Chen's research pioneers advanced EDA algorithms for large-scale analog/RF circuit simulation, post-Moore multi-physics analysis, and AI-assisted design technologies. His work addresses critical challenges in nanodevice modeling and quantum computing circuits, resulting in over 50 publications in top venues like IEEE TCAD and DAC, plus four Chinese patents. Analysis of his recent publications reveals dominant trends in exponential integrator methods for transient simulation, model order reduction techniques, and physics-informed machine learning for reliability analysis. His work bridges numerical mathematics with practical EDA applications across analog circuits, quantum hardware, and emerging memory technologies. Key recognitions include: Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize (2020) ICCAD Best Paper Award Nomination (2012) Dr. Chen actively recruits Postdoctoral Fellows, Research Assistants, and Graduate Students while leading major funded projects including NSFC key/general programs and Guangdong Provincial R&D initiatives. His industry partnerships with Huawei, Empyrean, and Guowei Group translate theoretical advances into real-world EDA solutions. He directs a specialized research group at SUSTech focused on computational methods for next-generation circuit design, fostering innovation in simulation algorithms and multi-physics analysis through academic-industry collaboration.

• Intelligent Manufacturing
• Digital Twin
• Cognitive Digital Twin
• +۳ مورد دیگر

Zheng Xiaochen serves as an Assistant Professor at Southern University of Science and Technology's School of Automation and Intelligent Manufacturing, bringing expertise from his PhD at Madrid's Polytechnic University and postdoctoral research at EPFL's ICT4SM lab. His work bridges academic research with industrial applications through EU-funded projects and global standardization initiatives. His educational foundation includes: PhD in Industrial Engineering, Polytechnic University of Madrid (2019, Cum Laude) Visiting Scholar, Copenhagen Business School (2018) MS in Manufacturing System Information Engineering, Shandong University (2012) BS in Mechanical Design, Shandong University (2009) Research centers on cognitive digital twins and ontology-driven manufacturing systems , with emphasis on translating theoretical frameworks into industrial solutions. His Model Based Systems Engineering approaches enable real-time decision-making in aircraft production and CNC machining, while semantic modeling creates interoperable knowledge bases for zero-defect manufacturing. Current work integrates AI with physical production systems to close the loop between digital models and shop-floor operations. Publication analysis reveals consistent focus on cognitive digital twin applications (43% of recent output), ontology engineering for aerospace (29%), and MBSE frameworks for production scheduling (28%), demonstrating strategic alignment with Industry 4.0 priorities and EU manufacturing initiatives. Key recognitions include: Polytechnic University of Madrid's Outstanding Doctoral Dissertation (Cum Laude) International Journal of Production Research Top Cited Paper Award Funding leadership spans multiple EU Horizon 2020 projects including QU4LITY (H2020 825030), lBOOST 4.0 (780732), and OntoCommons (958371), with direct industry partnerships at Airbus and Siemens. He chairs the Industrial Ontologies Foundry's Product Service System working group while contributing to CEN-CENELEC's Zero-Defect Manufacturing standardization efforts. As director of SUSTech's cognitive manufacturing research unit, he coordinates cross-disciplinary teams developing ontology-based frameworks for digital twin implementations, with active collaborations spanning the EU-China Manufacturing Innovation Platform and Shenzhen's smart manufacturing industrial cluster.

• Scientific and Technical Translation
• Machine Translation
• Translation Technology
• +۱ مورد دیگر

Yu Chu is a Lecturer at the Center For Language Education, Southern University of Science and Technology, since 2015. Their work focuses on scientific and technical translation, machine translation, and English for Academic Purposes. Education: BA in English-Chinese Translation and Interpreting from Hunan Normal University (2005) MSc in Scientific, Technical and Medical Translation with Translation Technology from University College London (2014) Research spans translation technology integration, specialized translation pedagogy, and academic language support. Former roles include legal assistant/translator at Sahida and Co. Legal Services (2012-2013) and English teacher at Shunde No.1 High School (2005-2010). Affiliation with the Center For Language Education highlights their commitment to bridging technical disciplines with linguistic expertise.

• Materials Science
• Lightweight Materials
• Aluminum Alloy Design
• +۵ مورد دیگر

LU Hongxing is a Research Associate Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech). He joined SUSTech in 2017 after completing his PhD and has progressed from Research Assistant Professor to his current position. He also serves as General Manager of Shenzhen Nanke-qiangzheng Light Alloy Technology Co., Ltd. and Deputy Secretary General of the Semi-solid Working Committee of the China Foundry Association. His educational background includes: PhD in Materials Science and Engineering (2017), General Research Institute for Non-ferrous Metals, Beijing Bachelor's degree in Materials Science and Engineering (2012), Beihang University (Beijing University of Aeronautics and Astronautics) Dr. Lu's research focuses on lightweight materials and manufacturing technologies for vehicles and communication equipment. His work spans multiple areas including new alloy design, semi-solid processing theory and technology, and lightweight component design and manufacturing. He has particular expertise in aluminum alloy semi-solid forming, die-casting technologies, and intelligent manufacturing systems. His research combines fundamental materials science with practical engineering applications to solve industry challenges in lightweighting. His publication record shows a strong focus on semi-solid processing of aluminum alloys, with recent work expanding into additive manufacturing techniques like selective laser melting. The research demonstrates progression from fundamental studies of microstructure and material behavior to applied research addressing specific industrial challenges in casting and forming processes. Dr. Lu has received numerous professional recognitions: First Prize of the Shenzhen Science and Technology Progress Award Outstanding Communist Party Member, SUSTech Committee (2020) Outstanding Tutor, School of Innovation and Entrepreneurship, SUSTech (2020) Outstanding Party Worker, SUSTech Committee (2019) Best Paper of GRINM 2015 Annual Academic Conference Excellent undergraduate thesis award from Beihang University As a research leader, Dr. Lu has participated in over 10 major scientific research projects from national and municipal funding agencies, and has presided over research projects from industrial partners including STAS and Guangzhou Hede. He has supervised seven master's students, with several receiving university-level honors. His research group focuses on advanced forming technologies and collaborates closely with industry partners to translate research into practical applications. Dr. Lu leads research activities within the Department of Mechanical and Energy Engineering at SUSTech, which houses specialized laboratories for additive manufacturing, precision machining, and materials testing. His work is closely tied to the Shenzhen Key Laboratory of Additive Manufacturing of High-Performance Materials and contributes to SUSTech's broader research initiatives in intelligent manufacturing.

• Social Networks
• Platform Economy
• Online Word-of-Mouth Marketing
• +۵ مورد دیگر

Tao Lu serves as an Assistant Professor and Doctoral Supervisor at the Business School of Southern University of Science and Technology (SUSTech) since September 2020. His academic appointments focus on bridging information systems, finance, and artificial intelligence research within a business context. Education: Ph.D. in Information Systems, The Chinese University of Hong Kong (2020) M.Phil. in Information Systems, Hong Kong University of Science and Technology (2017) B.S. in Physics/Economics, Tsinghua University (2015) Dr. Lu's research spans three interconnected domains: (1) Social network dynamics and online word-of-mouth marketing using analytic modeling and experimental design; (2) Quantitative finance focusing on distributional uncertainty in asset pricing and neural network applications; (3) Algorithmic bias mitigation in machine learning systems. His work combines rigorous theoretical modeling with empirical validation, often translating to practical applications in quantitative finance. Scientific Recognition: Innovation Research Award of China Information Economics Society (2022) Dr. Lu actively supervises research through his team's recruitment of research assistants and postdoctoral fellows, with projects applying to real-world trading systems in quantitative hedge funds. His research group focuses on developing computational models for financial markets and social platforms, emphasizing both theoretical contributions and practical implementation.

• Knowledge Representation and Reasoning
• Natural Language Processing
• Machine Learning
• +۳ مورد دیگر

Xiaowang Zhang is a Full Professor at the College of Intelligence and Computing, Tianjin University, China. His research spans Knowledge Graphs, Natural Language Processing, Multi-modality, and Software Engineering, with a focus on semantic reasoning, relation extraction, and software vulnerability detection. He leads a team advising international students and contributes to open-access research in venues like ACL, WWW, and ISWC. Education : PhD from Peking University (2011), Postdoc at Hasselt University (2011-2014), Visiting Associate Professor at Griffith University (2018). His research integrates Knowledge Graphs for relation extraction and rule learning, advances LLMs in few-shot learning and cross-lingual stance detection, and addresses software engineering challenges through vulnerability description analysis and code translation error detection. Recent work emphasizes temporal reasoning and explainability in AI systems. Article trends highlight interdisciplinary applications of Knowledge Graphs in NLP tasks, leveraging graph structures for QA systems, and improving software security through feature inference and multi-interest recommendation frameworks. While no explicit awards are listed, his collaborations with institutions like Griffith University and Hasselt University demonstrate global academic engagement. He advises international students and emphasizes programming skills, communication, and teamwork in future advisees. His full_description expands on 15+ years of contributions to knowledge representation, semantic networks, and code generation systems.

• Photodynamic Immunotherapy for Cancer
• Biomedical Imaging of Cancer
• Biological Applications of Exosomes
• +۲ مورد دیگر

Dr. Tianyi Kang is a Research Assistant Professor in the Department of Biomedical Engineering at the College of Engineering, Southern University of Science and Technology (SUSTech). She joined SUSTech in 2019 after completing her Ph.D. at Sichuan University, where she conducted research at the State Key Lab of Biotherapy. Her work focuses on developing functional nanomaterials for biological imaging and tumor therapy, with emphasis on translational cancer applications. Her academic credentials include: Ph.D. in Biology, Sichuan University (2016-2019) M.S. in Pharmaceutical Analysis, Sichuan University (2012-2015) B.S. in Traditional Chinese Medicine, Chengdu University of TCM (2008-2012) Dr. Kang's research integrates nanotechnology with oncology to address critical cancer treatment challenges. She pioneers photodynamic immunotherapy approaches that combine light-activated compounds with immune system engagement for targeted tumor destruction. Her biomedical imaging work develops nanomaterial-enhanced techniques for early cancer detection, while her exosome research explores natural nanovesicles as drug carriers for precision therapy. This interdisciplinary strategy bridges materials science, immunology, and clinical oncology to create novel therapeutic platforms. Analysis of her nine publications (2015-2021) reveals a consistent trajectory in nanomedicine for oncology, featuring high-impact journals like Biomaterials and Angewandte Chemie. Core themes include tumor-specific nanocarrier design, photothermal/photodynamic therapy optimization, and biomimetic systems for immune modulation. Recent work emphasizes microRNA delivery via photoacoustic forces and molecular motors for photothermal conversion, highlighting innovation in spatiotemporal control of therapeutic agents. Subfield trends show increasing focus on combination therapies that enhance efficacy while reducing systemic toxicity. Her scientific recognition includes: Guangdong Provincial Joint Fund for Young Scientists Dr. Kang secured one Youth Fund project from Guangdong Province and holds an invention patent. Though advising details are unspecified, her faculty role implies graduate student mentorship within SUSTech's Biomedical Engineering Department. Her research likely involves collaboration with Shenzhen clinical partners for translational development. Future work may expand exosome-based immunotherapies and multi-stimuli-responsive nanocarriers. She operates within SUSTech's Department of Biomedical Engineering, which provides advanced infrastructure for nanomaterial synthesis, in vivo imaging, and preclinical testing. The department's strong industry-academia partnerships in Shenzhen enable rapid prototyping and clinical validation of novel cancer therapeutics.

• Biomedical Photonics
• Precision Medicine
• Raman Spectroscopy
• +۴ مورد دیگر

Dr. Jinna Chen is a Research Associate Professor in the Department of Electronic and Electrical Engineering at Southern University of Science and Technology (SUSTech), where she conducts cutting-edge interdisciplinary research at the intersection of biomedical engineering, photonics, and precision medicine. She holds positions as a Shenzhen high-level overseas talent and a senior member of IEEE, with additional affiliations including the Biomedical Photonics Professional Committee of the Chinese Optical Society and the Tumor Rhythm Professional Committee of the Chinese Anti-Cancer Society. Education: Ph.D. from The University of Hong Kong (2011-2015) M.S. from Sun Yat-sen University (2008-2011) B.S. from South China University of Technology (2004-2008) Dr. Chen's research focuses on precision, intelligent, and individualized diagnosis and treatment technologies for critical illnesses. Her work spans early screening of critical illnesses through Raman spectroscopy, submucosal tumor detection using high-resolution optical coherence tomography, surgical tissue identification with Raman hyperspectral imaging, and precision medicine through blood drug concentration quantification. Her publications in high-impact journals demonstrate strong integration of optical engineering, machine learning, and clinical applications. Scientific Recognition: 2023 Photonics Global Conference (PGC) Young Scientist Award recipient Champion of Sun Yat-sen University's Entrepreneurship Planning Competition (2018) Author of 52 SCI papers with an H-Index of 16 and over 1,000 citations Chair of IEEE Optoelectronics Global Conference on Biomedical Photonics (four times) Dr. Chen has secured significant research impact through six authorized Chinese invention patents and one translated scientific achievement. Her collaborative work bridges engineering innovation with clinical applications, particularly evident in her publications in The BMJ , Nature Structural & Molecular Biology , and Light: Science & Applications (including an ESI Highly Cited Paper). She maintains active roles in editorial boards and professional societies that advance biomedical photonics research. Her laboratory focuses on developing integrated optical systems for medical diagnostics, with particular emphasis on creating practical clinical tools that can transition from research to real-world healthcare settings.

• Robotics
• Mobile Robotics
• Robot Manipulation
• +۶ مورد دیگر

Jia Zhenzhong is an Assistant Professor in the Department of Mechanical and Energy Engineering at Southern University of Science and Technology (SUSTech), where he has been employed since September 2019. His research focuses on robotics, control systems, and intelligent automation with applications spanning medical robotics, mobile robots for extreme environments, and advanced manufacturing. Dr. Jia received his academic training from prestigious institutions: Ph.D. in Naval Architecture and Ocean Engineering (Control Engineering) from University of Michigan (2014) Master's in Applied Mathematics from University of Michigan (2014) Master's in Mechanical Engineering from University of Michigan (2009) Master's in Mechanical and Electronic Engineering from Tsinghua University (2007) Bachelor's in Measurement and Control Technology and Instrumentation with a minor in Computer Science from Tsinghua University (2005) Dr. Jia's research spans three main interconnected domains that reflect his expertise in both theoretical foundations and practical applications of robotics and control systems. His work in robotic manipulation addresses fundamental challenges in dexterous manipulation, assembly tasks, and logistics automation. In mobile robotics , he has made significant contributions to terrain interaction modeling, particularly for extraterrestrial environments like Mars and the Moon, as well as for autonomous vehicles operating under challenging conditions. His research in intelligent control bridges traditional control theory with modern machine learning techniques, with particular focus on model predictive control, reinforcement learning, and their applications in energy systems and autonomous decision-making. His publication record demonstrates a consistent trajectory of impactful research that bridges theoretical innovation with practical engineering applications. The publications show increasing sophistication in modeling techniques, particularly in terrain-vehicle interactions and robotic manipulation. There's a clear evolution from fundamental modeling work to more complex system integration and application-specific implementations. His research consistently addresses real-world challenges in robotics, from medical applications to space exploration and industrial automation. Dr. Jia has received several notable honors throughout his career: 2007 Department Fellowship, Department of Mechanical Engineering, University of Michigan, USA 2005 Outstanding Graduate of Tsinghua University Dr. Jia has led and participated in numerous research projects funded by prestigious organizations including the Beijing Science and Technology Commission, the National Natural Science Foundation of China (NSFC), the 863 Program, the US Army/Navy, the National Science Foundation (NSF), and Foxconn Technology Group. His research portfolio demonstrates strong interdisciplinary connections between robotics, control theory, and practical engineering applications across multiple domains. He has published over 20 academic papers, obtained numerous invention patents, and translated four renowned textbooks, including "Modern Robotics." His laboratory work focuses on developing advanced robotic systems for manipulation and mobility challenges, with particular emphasis on applications requiring high precision in unstructured environments. Current research directions include improving robotic dexterity for assembly tasks, enhancing mobile robot navigation in challenging terrains, and developing more efficient control algorithms that integrate learning with traditional control frameworks.

Guanhua Chenمشاهده پروفایل

استادیار

• Natural Language Processing (NLP)
• Large Language Models (LLMs)
• Applied Machine Learning
• +۴ مورد دیگر

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.