What's going on here at ML Lab
Dr. Xiang Zhang is Co-Chairing a special session at IJCNN 2025
International Joint Conference on Neural Networks (IJCNN; CORE Rank A) is a prominent conference in the field of artificial intelligence (AI), machine learning, and neural networks. Dr. Zhang is co-chairing the special session of Artificial Intelligence for Neural Engineering: Innovations, Applications and Future Directions. Manuscript submissions by Jan. 15th, 2025 are highly welcomed.
"Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification" is accepted in NeurIPS 2024
Authored by Yihe Wang, Nan Huang, Taida Li, Yujun Yan, and Xiang Zhang. The paper is available at https://neurips.cc/virtual/2024/poster/93940.
Office of Undergraduate Research (OUR) Project Opportunities for Spring 2025!
Are you an undergraduate student interested in gaining hands-on experience in machine learning research? The Office of Undergraduate Research (OUR) project opportunities are here for you for Spring 2025! Join our CharMLab and work alongside leading researchers on cutting-edge projects that explore the latest advancements in artificial intelligence.
Three papers are accepted at CVPR 2024
Congratulations to Dr. Srijan Das and his fellow students Dominick Reilly and Rajatsubhra Chakraborty!
Dr. Srijan Das presented "AAN: Attributes-Aware Network for Temporal Action Detection" at BMVC 2023 in Aberdeen
This paper explains how to utilize large-scale pre-trained vision language models (CLIP) for long-term action detection in videos.
Dominick Reilly will present "Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders" at WACV 2024 in Hawaii
This paper shows that jointly optimizing Vision Transformers for the primary task and a Self-Supervised Auxiliary Task is surprisingly beneficial when the amount of training data is limited.
Dominick Reilly is awarded The Chateaubriand Fellowship
Dominick Reilly is awarded The Chateaubriand Fellowship and will be interning at Inria Sophia Antipolis, France.
Trick or Research at CharMLab
🎃 Happy Halloween! We hosted a Trick or Research event at CharMLab. A spooky afternoon of research and fun, and with treats! 🎃
Dr. Xiang Zhang served as Jury for the IEEE Brain Best Paper Award and the Best Student Paper Award
Dr. Xiang Zhang chaired the session of 'Emerging topics and applications of BMIs' at BMI IEEE SMC 2023
Dr. Xiang Zhang gave a keynote in Brain-Machine Interface Workshop at IEEE SMC 2023
The BMI workshop is a 4-day conference focusing on research in brain signal analysis and Human-Machine Interface. Dr. Zhang gave an invited talk entitled 'Self-Supervised Contrastive Learning For EEG-Based Neurological Disorder Detection' on Oct. 1st 2023.
Dr. Jake Lee had invited talks for 4-12 students at Charlotte-Mecklenburg Library branches
Two papers are accepted at NeurIPS 2023
Congratulations to Drs. Kümmerle and Zhang, along with the first authored students Yihe Wang and Yu Han!
UNC Charlotte Launches Machine Learning Lab: A Hub for AI Innovation
CHARLOTTE, NC - The University of North Carolina at Charlotte has announced the formation of a cutting-edge Machine Learning Lab within the Department of Computer Science. This new lab, comprising six Principal Investigators (PIs) and more than a dozen PhDs, aims to be a nexus for innovation and research in the rapidly evolving field of artificial intelligence (AI).
Dr. Xiang Zhang served as a panelist on the AARG Program of the Alzheimer's Association.
Dr. Xiang Zhang served as a panelist on the NSF SMALL Program.
Dr. Xiang Zhang served as the Publicity and Social Media Co-Chair in PerCom 2023.
IEEE International Conference on Pervasive Computing and Communications (PerCom) is a flagship conference in pervasive computing. The average acceptance rate in the last 5 years is 16.3%.
Dr. Jake Lee served as a panelist on the NSF Programs
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