HKBU Research Office

👏 Applause to Professor Han Quan Bin (School of Chinese Medicine, HKBU) for garnering the Excellent Research Award at the Health Research Symposium 2024 by the Health Bureau! His pivotal work on polysaccharide application in quality control of Cordyceps sinensis, funded by the Health and Medical Research Fund (HMRF), showcases his exceptional contributions to medical and health research. *Link in Comments 🗝️ Cluster: Health and Drug Discovery #Cluster_Health_and_Drug_Discovery #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUSCM #ChineseMedicine #HealthBureau #HealthResearchSymposium #polysaccharide

#ResearchMingle – Provocative insights into transdisciplinary research in arts and social sciences! Moderated by Professor Daniel Lai, Dean of the Faculty of Arts and Social Sciences 香港浸會大學文學及社會科學院 (FASS), our enlightening panel discussion was joined by our esteemed guest scholar Professor Michael Ng (HKU Law), and our HKBU visionaries Dr Andrej Fech and Dr Noriaki Hoshino (both from Academy of Chinese, History, Religion and Philosophy), Dr Shao Jing (Academy of Language and Culture), Dr Jiang Jin (Academy of Geography, Sociology and International Studies), and Dr Rongjun Yu (Academy of Wellness and Human Development). The passionate speakers shared their interdisciplinary research covering big data analytics, business, history, linguistics, neuroscience, philosophy, sociology, etc. We appreciate their engaging contributions and offer special thanks to Ms Wan Yuwei (FASS) for her excellent role as MC. #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUFASS #Arts_SocialSciences #ResearchCulture #ResearchCommunity #collaborations #interdisciplinary #InterdisciplinaryResearch 

#FromAspirantsToScholars What does it take to be globally recognised in neuroscience with a method embraced by over 10 countries? Discover how Professor Guang Ouyang (Faculty of Education, The University of Hong Kong (HKU)), a former PhD student of Dr. Changsong Zhou (HKBU Faculty of Science), has advanced cognitive neuroscience with a brain signal analysis method used by labs in 15 countries and generating over 100 publications in basic and clinical research in the field. This achievement highlights the power of interdisciplinary collaborations and HKBU’s dedication to nurturing research talents and research excellence. 𝐑𝐞𝐚𝐝 𝐡𝐢𝐬 𝐬𝐭𝐨𝐫𝐲 𝐧𝐨𝐰.🌟 Explore more exciting opportunities: https://lnkd.in/gE6DkxgM #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUSCI #science #physics #HKBUPhDStudent #ResearchEnvironment #mentorship #neuroscience #CognitiveNeuroscience #BrainSignal #brain #interdisciplinary #collaborations Hong Kong Baptist University The University of Hong Kong

#HighlightedPapers Exciting breakthroughs in non-Hermitian physics are here! Discover how dynamic non-Hermitian skin effects, experimentally realised in tunable mechanical systems by Professor Guancong MA, Dr Li Zhen (HKBU Faculty of Science), and their collaborators, are providing promising ways for controllable and robust wave manipulation, and advancing non-equilibrium studies. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐏𝐚𝐩𝐞𝐫 (in 𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴): https://lnkd.in/gpNijE5d DOI: 10.1038/s41467-024-50776-1 #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUSCI #science #physics #NonHermitian #wave #NonEquilibrium #NatureCommunications #collaborations Hong Kong Baptist University University of Science and Technology of China Soochow University Abstract Non-Hermitian physics has emerged as a new paradigm that profoundly changes our understanding of non-equilibrium systems, introducing novel concepts such as exceptional points, spectral topology, and non-Hermitian skin effects (NHSEs). Most existing studies focus on non-Hermitian eigenstates, whereas dynamic properties have been discussed only recently, and the dynamic NHSEs are not yet confirmed in experiments. Here, we report the experimental observation of non-Hermitian skin dynamics using tunable one-dimensional nonreciprocal double-chain mechanical systems with glide-time symmetry. Remarkably, dynamic NHSEs are observed with various behaviors in different dynamic phases, which can be understood via the generalized Brillouin zone and the related concepts. Moreover, the observed dynamic NHSEs, amplifications, bulk unidirectional wave propagation, and boundary wave trapping provide promising ways to manipulate waves in a controllable and robust way. Our findings open a new pathway toward non-Hermitian dynamics, which will fertilize the study of non-equilibrium phases of matter.

🎊 Sincere congratulations to Mr Chen Baisen (PhD student, School of Chinese Medicine, HKBU) for being awarded the 2023-24 Vincent & Lily Woo Fellowship! The Fellowship seeks to encourage PhD students in the Greater Bay Area to engage in Chinese medicine research projects, fostering the development of Chinese medicine professionals. *Link in Comments 🗝️ Cluster: Health and Drug Discovery #Cluster_Health_and_Drug_Discovery #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUSCM #ChineseMedicine #PhDStudent #fellowship #GreaterBayArea

#HighlightedPapers Discover a novel cross-modal hashing method for reducing storage space and improving retrieval efficiency! Developed by Professor Yiu-ming Cheung (HKBU Department of Computer Science)’s research team and his collaborator from Shenzhen University, “Semantic Channel Hashing” addresses the overlooked space gap issues in cross-modal hashing and outclasses state-of-the-art methods, with substantial implications for multi-modal data processing and retrieval. 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐏𝐚𝐩𝐞𝐫 (in 𝘐𝘌𝘌𝘌 𝘛𝘳𝘢𝘯𝘴𝘢𝘤𝘵𝘪𝘰𝘯𝘴 𝘰𝘯 𝘗𝘢𝘵𝘵𝘦𝘳𝘯 𝘈𝘯𝘢𝘭𝘺𝘴𝘪𝘴 𝘢𝘯𝘥 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘐𝘯𝘵𝘦𝘭𝘭𝘪𝘨𝘦𝘯𝘤𝘦): https://lnkd.in/gFGW6vf8 DOI: 10.1109/TPAMI.2024.3392763 🗝️ Cluster: Data Analytics and Artificial Intelligence #Cluster_Data_Analytics_and_Artificial_Intelligence #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUSCI #science #ComputerScience #CrossModalHashing #hashing #DataProcessing #DataRetrieval #IEEE #PatternAnalysis #MachineIntelligence #collaborations Hong Kong Baptist University HKBU Faculty of Science Abstract Cross-modal hashing (CMH) has attracted considerable attention in recent years. Almost all existing CMH methods primarily focus on reducing the modality gap and semantic gap, i.e., aligning multi-modal features and their semantics in Hamming space, without taking into account the space gap, i.e., difference between the real number space and the Hamming space. In fact, the space gap can affect the performance of CMH methods. In this paper, we analyze and demonstrate how the space gap affects the existing CMH methods, which therefore raises two problems: solution space compression and loss function oscillation. These two problems eventually cause the retrieval performance deteriorating. Based on these findings, we propose a novel algorithm, namely Semantic Channel Hashing (SCH). First, we classify sample pairs into fully semantic-similar, partially semantic-similar, and semantic-negative ones based on their similarity and impose different constraints on them, respectively, to ensure that the entire Hamming space is utilized. Then, we introduce a semantic channel to alleviate the issue of loss function oscillation. Experimental results on three public datasets demonstrate that SCH outperforms the state-of-the-art methods. Furthermore, experimental validations are provided to substantiate the conjectures regarding solution space compression and loss function oscillation, offering visual evidence of their impact on the CMH methods.

🎉 HKBU proudly ranks 55th worldwide in Times Higher Education (THE)’s inaugural Interdisciplinary Science Rankings 2025! We are one of the five local universities in the top 60 globally, a testament to our research community’s interdisciplinary research excellence. *Link in Comments 🗝️ Cluster: Creative Media and Practice 🗝️ Cluster: Health and Drug Discovery 🗝️ Cluster: Data Analytics and Artificial Intelligence 🗝️ Cluster: Humanities and Cultures #Cluster_Creative_Media_and_Practice #Cluster_Health_and_Drug_Discovery #Cluster_Data_Analytics_and_Artificial_Intelligence #Cluster_Humanities_and_Cultures #HKBU #ResearchOffice #HKBUResearch #HKBURO #ResearchExcellence #THE #TimesHigherEducation #interdisciplinary #WorldRankings Hong Kong Baptist University

Promising advancements in the science of aging! Heartiest congratulations to Dr Rongjun Yu (Faculty of Arts and Social Sciences 香港浸會大學文學及社會科學院) for winning a 2024 Healthy Longevity Catalyst Award by the Research Grants Council (RGC)! His significant research on MRI brain connectivity in (near) centenarians aims to establish Asia’s inaugural brain imaging centenarian dataset, enhancing cognitive health and offering valuable insights into aging. *Link in Comments 🗝️ Cluster: Health and Drug Discovery #Cluster_Health_and_Drug_Discovery #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUFASS #Arts_SocialSciences #ResearchGrantsCouncil #RGC #MRI #brain #aging #CognitiveHealth #health #HealthyLongevity #BrainImaging #centenarian

Supported by the Research Grants Council (RGC)’s PROCORE-France/Hong Kong Joint Research Scheme, this week’s “Revisiting Digital Public Diplomacy in a Post-pandemic World: Chinese and French Perspectives” conference explored cross-cultural digital diplomacy methodologies and theoretical developments. Professor Zhong Bu (Dean, HKBU School of Communication) stressed empathy in diplomacy, while Professor Celine Song (Associate Dean of the School and conference convener) highlighted the conference’s role in trailblazing digital diplomacy discussions. 𝐌𝐨𝐫𝐞 𝐚𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐒𝐜𝐡𝐞𝐦𝐞: https://lnkd.in/gCkycEge 🗝️ Cluster: Humanities and Cultures #Cluster_Humanities_and_Cultures #HKBU #HKBUResearch #HKBUCOMM #communication #China #France #ResearchScheme #DigitalDiplomacy #diplomacy #collaborations #PostPandemic #ResearchGrantsCouncil #RGC

#ResearchMingle – Intriguing insights into utilising technologies and communication for social good! Our visionaries Dr Shirley LI and Dr Wenqian Wang (HKBU School of Business), and Dr Charles Feng and Dr Jingyuan Jolie Shi (HKBU School of Communication), related communication and information to social good and marketing, explainable AI in communication research and blockchain technology in digital networks. We extend our gratitude for their captivating sharing and special thanks to Dr Zhu Yuner (HKBU School of Communication) for being an amazing MC! #HKBU #ResearchOffice #HKBUResearch #HKBURO #HKBUBUS #HKBUCOMM #business #communication #marketing #management #InformationSystems #InteractiveMedia #AI #ArticificialIntelligence #Blockchain #DigitalNetwork #ResearchCulture #ResearchCommunity #collaborations