Professor Tao Dacheng is currently a Distinguished University Professor in the College of Computing and Data Science at Nanyang Technological University. He was an Australian Laureate Fellow, Peter Nicol Russell Chair, and Professor of Computer Science in the School of Computer Science, and an Advisor and Chief Scientist of the Digital Sciences Initiative in the University of Sydney.

He was also the founding director of the Sydney AI Centre in the University of Sydney, the inaugural director of JD Explore Academy, senior vice president in JD.com, and chief scientist of AI in UBTECH Robotics. He mainly applies statistics and mathematics to artificial intelligence, and his research is detailed in one monograph and over 300 publications in prestigious journals and proceedings at leading conferences, with best paper awards, best student paper awards, and test-of-time awards. His publications have been cited over 146K times and he has an h-index 180+ in Google Scholar.

He received the 2015 and 2020 Australian Eureka Prize, the 2018 IEEE ICDM Research Contributions Award, 2020 research super star by The Australian, the 2019 Diploma of The Polish Neural Network Society, and the 2021 IEEE Computer Society McCluskey Technical Achievement Award. He is a Fellow of the Australian Academy of Science, the Royal Society of NSW, the World Academy of Sciences, AAAS, ACM and IEEE.

Chen Change Loy is a President's Chair Professor with the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his PhD (2010) in Computer Science from the Queen Mary University of London. Prior to joining NTU, he served as a Research Assistant Professor at the MMLab of the Chinese University of Hong Kong, from 2013 to 2018.

His research interests include computer vision and deep learning with a focus on image/video restoration and enhancement, generative tasks, and representation learning. He and his research group pioneer the research in face detection, face alignment, and image super-resolution by deep learning. His seminal work on image super-resolution is awarded the Test of Time Award by Technical Committee on Computer Vision of China Computer Federation (CCF-CV) in 2024. He is recognized as one of the 100 most influential scholars in computer vision from 2020 to 2024 by AMiner.

His other accolades include the Nanyang Research Award and the Singapore Open Research Award. He served/serves as an Associate Editor of the Computer Vision and Image Understanding (CVIU), International Journal of Computer Vision (IJCV) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). He also serves/served as the Area Chair of top conferences such as ICCV, CVPR, ECCV, ICLR and NeurIPS. He will serve as the Program Co-Chair of CVPR 2026

Cham Tat-Jen is a Professor of Computer Science in the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his BA in Engineering in 1993 and his PhD in 1996, both from the University of Cambridge. He was previously a Jesus College Research Fellow in Science (1996-97), and a research scientist at DEC/Compaq Research Labs in Cambridge, MA, USA (1998-2021).

Tat-Jen has won multiple paper awards, including the best paper at ECCV'96, and is an inventor on eight patents. Tat-Jen was a founding PI for the NRF BeingThere / BeingTogether Centres on 3D Telepresence, and has been PI on projects that include those based in the Rehabilitation Research Institute of Singapore (RRIS), the Singtel Cognitive & AI Lab (SCALE@NTU) and Singapore-ETH Centre’s Future Cities Lab. His current and past research services include being an Associate Editor for IEEE T-MM, CVIU and IJCV, a Senior / Lead Area Chair for CVPR and ICCV, as well as an Area Chair for ECCV, NeurIPS and ICML. Previously, he was also a General Chair for ACCV.

Tat-Jen’s research interests are broadly in computer vision and machine learning, with a focus on deep learning generative methods that can exploit semantic and contextual cues, for applications such as 3D telepresence and metaverses. His recent significant research breakthroughs include Pluralistic Image Completion, which became an early research baseline for generative inpainting and attracted commercial licensing interests from international companies, and AgileGAN, which in collaboration with ByteDance formed the precursor technology to the subsequent and highly popular TikTok Avatars.

Li Boyang is an Associate Professor at CCDS, NTU. His current research interests lie in multimodal learning, data-centric AI, and computational narrative intelligence. In 2021, he received the National Research Foundation Fellowship, a prestigious research award of 2.5M Singapore Dollars.

Prior to NTU, he was a Research Scientist and Group Leader at Disney Research Pittsburgh and a Senior Scientist at Baidu Research USA. He received his Ph.D. degree in Computer Science from Georgia Institute of Technology. His opinions and explanations of AI trends have been featured several times in Lian He Zao Bao.

Zhang Hanwang is an Associate Professor at Nanyang Technological University's School of Computer Science and Engineering. His research interests include Computer Vision, Natural Language Processing, Causal Inference, and their combinations.

Due to his contribution in applied causality, he has received numerous awards including the National Research Foundation Investigatorship, Singapore President Award Young Scientist 2021, IEEE AI’s-10-To-Watch 2020, Alibaba Innovative Research Award 2019, Nanyang Assistant Professorship 2018, and several best paper awards.

Guosheng Lin is an Associate Professor at the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his PhD from the University of Adelaide in 2014. His research interests generally lie in computer vision and deep learning, including visual understanding, data-efficient learning, and generative learning.

He has published over 100 research articles in prestigious venues. He is listed among the World's Top 2% Scientists. He serves as an Associate Editor for the IEEE journals TMM and TCSVT. He also serves as an Area Chair or Senior PC member for flagship conferences such as CVPR, ACM MM, IJCAI, and AAAI.

Ziwei Liu is currently an Associate Professor at Nanyang Technological University, Singapore. His research revolves around computer vision, machine learning and computer graphics. He has published extensively on top-tier conferences and journals in relevant fields, including CVPR, ICCV, ECCV, NeurIPS, ICLR, SIGGRAPH, TPAMI, TOG and Nature - Machine Intelligence.

He is the recipient of PAMI Mark Everingham Prize, CVPR Best Paper Award Candidate, Asian Young Scientist Fellowship, International Congress of Basic Science Frontiers of Science Award and MIT Technology Review Innovators under 35 Asia Pacific. He serves as an Area Chair of CVPR, ICCV, ECCV, NeurIPS and ICLR, as well as an Associate Editor of IJCV.

Prof Lu Shijian is an Associate Professor from the College of Computing and Data Science, Nanyang Technological University, Singapore. He received his PhD from the Electrical and Computer Engineering Department of the National University of Singapore. His research interests include computer vision and deep learning. He has published more than 200 internationally refereed journal and conference papers and co-authored over 10 patents.

Before joining in NTU, he took several leadership roles in the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*SATR), Singapore, including Head of Visual Attention Lab, Deputy Head of Satellite Department, Co-Chair of the Image and Pervasive Access Laboratory (a CNRS overseas lab hosted by A*STAR, Singapore). Prof Lu is currently an Associate Editor for the journals Pattern Recognition and Neurocomputing. He has also served in the program committee of several international conferences such as the Senior Program Committee of the IJCAI and AAAI, the Area Chair of CVPR, etc.

Dr. Luu Anh Tuan is currently an Assistant Professor at NTU. Prior than that, he was a Research Fellow at MIT from 2018 to 2020. Luu’s research interests lie in the intersection of AI, Deep Learning, and Natural Language Processing which the focus on Large Language Models, Graph Neural Networks, Trustworthy AI, and NLP applications. He has published over 120 papers on top-tier AI and NLP conferences and journals including NeurIPS, ICML, ICLR, ACL, EMNLP, AAAI, TACL, etc.

He is the Associate Editor of Computational Linguistics journal and ACL Rolling Review. Luu also served as the Senior Area Chair of EMNLP 2020, Area Chair of ACL 2021-2025, ICLR 2022-2025, NeurIPS 2023-2025, ICML 2025, NAACL 2023-2025, Senior Program Committee of IJCAI 2020-2021. He recieved the outstanding paper award at the International Conference on Learning Representations (ICLR) 2021. He was also a recipient of the Ministry of Trade and Industry (MTI) Singapore Innovation Award 2013.

Xingang Pan is a Nanyang Assistant Professor with the College of Computing and Data Science, Nanyang Technological University, Singapore. Prior to joining NTU, he was a postdoc researcher at Max Planck Institute for Informatics, advised by Prof. Christian Theobalt. He received his Ph.D. degree at MMLab of The Chinese University of Hong Kong in 2021, supervised by Prof. Xiaoou Tang.

He obtained his Bachelor’s degree from Tsinghua University in 2016. His research interests include computer vision, machine learning, and computer graphics, with a focus on generative AI. He serves as an Area Chair for CVPR and 3DV. He also serves as an Associate Editor of the IEEE Transactions on Visualization and Computer Graphics (TVCG). He received the Singapore NRF Fellowship Award in 2024.

Wang Wenya is an Assistant Professor with the College of Computing and Data Science, Nanyang Technological University, Singapore. Prior to joining NTU, she worked as a Postdoc Researcher at Paul G. Allen School of Computer Science & Engineering at the University of Washington. She received the “International Postdoctoral Fellowship” awarded by the College of Engineering, and the “Lee Kuan Yew Postdoctoral Fellowship” after obtaining her PhD degree at NTU.

Her research interests lie in Natural Language Processing, Large Language Models, and Multimodal Reasoning, particularly investigating and utilizing the power of generative models in problem solving. She has served as Area Chairs for ACL, EMNLP, NAACL, ICLR.

Dr. Alvin Chan is an Assistant Professor at Nanyang Technological University (NTU), jointly appointed at the College of Computing and Data Science and the Lee Kong Chian School of Medicine. His research lies at the intersection of generative AI and biomedical science, with a focus on developing multi-modal deep learning systems for therapeutic development and precision healthcare.

Prior to joining NTU, Dr. Chan was a postdoctoral fellow at MIT and Harvard Medical School in the Traverso Lab, where he worked on deep learning methods to accelerate the design of RNA-based nanomedicines—the foundational technology behind mRNA vaccines such as those developed for COVID-19. His broader research vision seeks to unify insights across nanomedicine, multi-omics, and nucleic acid/protein engineering into intelligent AI platforms that advance personalized medicine. He also investigates the integration of generative models with high-throughput experimentation to accelerate the discovery of safer and more effective therapeutics.

Yuxuan Du is an Assistant Professor at Nanyang Technological University (NTU), jointly appointed to the College of Computing and Data Science and the School of Physical and Mathematical Sciences. He received his Ph.D. in Computer Science from the University of Sydney in 2021.

His research focuses on quantum learning theory, fundamental algorithms for quantum machine learning, and AI for quantum science. His work has been published in top-tier journals and conferences across physics and computer science, including Nature Communications, Physical Review Letters, Physical Review X Quantum, npj Quantum Information, IEEE Transactions on Information Theory, and IEEE Transactions on Pattern Analysis and Machine Intelligence. His research has been featured by major media outlets such as MIT Technology Review and Xinhua News Agency. He has served as an Area Chair for NeurIPS and ICLR.