جست‌وجوی استاد و پژوهشگر

• Software Security
• Artificial Intelligence
• Adversarial Machine Learning
• +۷ مورد دیگر

Yang Yuxiang is an Assistant Professor at the University of Hong Kong's School of Computing and Data Science. His research focuses on software security, adversarial machine learning, and AI safety, with a particular emphasis on formal methods and large language models. He holds a PhD from Hong Kong. Research interests include: Automated program repair using LLMs Cybersecurity in open-source ecosystems Adversarial attacks on vision-language models Formal verification of theorem provers Ethical implications of AI systems Recent publications explore cutting-edge topics such as causality-aware safety testing for autonomous systems , smart contract vulnerability detection , and large model safety at scale . His work bridges theoretical foundations with practical applications in secure software development and AI ethics.

Liu Qiمشاهده پروفایل

استادیار

• Natural Language Processing
• Machine Learning
• FinTech
• +۳ مورد دیگر

Qi Liu is an Assistant Professor at the Department of Computer Science, University of Hong Kong, and serves as Programme Director for the BASc(FinTech) Programme. He holds an MS from the National University of Singapore and a PhD from the University of Oxford. His research focuses on Natural Language Processing (NLP), Machine Learning (ML), and FinTech. He has contributed to leading conferences/journals such as NeurIPS, ICML, ICLR, ACL, and EMNLP, and actively serves on their program committees. His work includes advancements in relational memory models, causal inference, graph neural networks, and domain-specific representation learning. Key research areas include NLP applications in dialogue systems, counterfactual data augmentation for translation, and hyperbolic representations for knowledge graphs. Recent articles explore cutting-edge topics in photonics, spintronics, and memory device security, reflecting interdisciplinary interests. Education: MS (NUS), PhD (Oxford) Programme Role: BASc(FinTech) Director Email: liuqi@cs.hku.hk Homepage: leuchine.github.io No scientific awards are explicitly listed in the provided text. His research spans theoretical ML advancements and applied FinTech systems, with a focus on scalable NLP solutions and secure memory technologies.

• Upconversion Nanoparticles
• Optogenetics
• Neuromodulation
• +۵ مورد دیگر

Angelo H. serves as an Associate Professor in the Department of Chemistry, Faculty of Science at Hong Kong Baptist University, with primary contact via angelo@hkbu.edu.hk. His academic appointment reflects active faculty status within the university's scientific research infrastructure. His research program demonstrates a highly specialized convergence of chemical engineering and neuroscience, specifically targeting neural repair mechanisms and diagnostic technologies. The expertise profile reveals: Development of Upconversion Nanoparticles for neural imaging applications Optogenetics techniques for precise neuronal control Neuromodulation strategies targeting Neuroplasticity enhancement Neurotrauma intervention research incorporating Neuro-electrophysiology Stem Cell Replacement Therapy protocols Hypothermia-based neuroprotective approaches This interdisciplinary focus positions his work at the critical chemistry-neuroscience interface for advancing neural repair methodologies.