MLSP-P73.6
Lagrangian-Based Motion-Capture Model for Continuous Weather Forecasting
Kang Chen, University of Science and Technology of China, China; Ben Fei, Fenghua Ling, Shanghai Artificial Intelligence Laboratory, China; Zhijun Li, Tongji University, China; Lei Liu, Bin Li, University of Science and Technology of China, China; Lei Bai, Shanghai Artificial Intelligence Laboratory, China
Session:
MLSP-P73: Machine Learning Applications in Signal Processing I Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 6
Presentation Time:
Fri, 8 May, 09:00 - 11:00
Presentation
Discussion
Resources
No resources available.
Session MLSP-P73
MLSP-P73.1: (P)rior(D)yna(F)low: A Priori Dynamic Workflow Construction via Multi-Agent Collaboration
Yi Lin, Lujin Zhao, Yijie Shi, Beijing University of Posts and Telecommunications, China
MLSP-P73.2: BACKGROUND DISAMBIGUATION CONTRASTIVE LOSS FOR ROBUST BINARY SEGMENTATION
Pantelis Mentesidis, Vasileios Mygdalis, Ioannis Pitas, Aristotle University of Thessaloniki, Greece
MLSP-P73.3: STPHYNET: PHYSICS-INTEGRATED SPATIOTEMPORAL NEURAL NETWORKS FOR EFFICIENT PDE SIMULATION
Qi Wang, Mengtao Yan, Hao Zhou, Ji-Rong Wen, Hao Sun, Renmin University of China, China
MLSP-P73.4: THINK-AUGMENTED FUNCTION CALLING: IMPROVING LLM PARAMETER ACCURACY THROUGH EMBEDDED REASONING
Lei Wei, Alibaba, China; Jinpeng Ou, Peking University, China; Xiao Peng, Alibaba, China; Bin Wang, Peking University, China
MLSP-P73.5: HIMNN:A HIERARCHY-AWARE MULTIMODAL NEURAL NETWORK FOR ELECTROLYTE FORMULATIONS PROPERTY PREDICTION
Ri Huang, Jingwei Hu, Kai Xie, Chaobin Yang, Chengfeng Zheng, Chentao Zhang, Zhihong Zhang, Xiamen University, China
MLSP-P73.6: Lagrangian-Based Motion-Capture Model for Continuous Weather Forecasting
Kang Chen, University of Science and Technology of China, China; Ben Fei, Fenghua Ling, Shanghai Artificial Intelligence Laboratory, China; Zhijun Li, Tongji University, China; Lei Liu, Bin Li, University of Science and Technology of China, China; Lei Bai, Shanghai Artificial Intelligence Laboratory, China
MLSP-P73.7: FragLDM: Fragment-Guided Latent Diffusion Model for 3D Molecular Generation
Ronghang Wang, Ruiqing Sun, Huaiyuan Song, Dawei Feng, Bo Ding, Huaimin Wang, National University of Defense Technology, China
MLSP-P73.8: Early Prediction Method for Learners at Risk Based on Multi-source Feature Fusion
Haoxin Xu, Shanghai International Studies University, China; Changyong Qi, East China Normal University, China; Tong Liu, Shanghai International Studies University, China; Bohao Zhang, Bingqian Jiang, East China Normal University, China; Longwei Zheng, City University of Macau, China
MLSP-P73.9: GRAPHMD: A TWO-MODULE DIFFUSION FRAMEWORK FOR SMOOTH AND CONSISTENT MOLECULAR DYNAMICS
Guanyu Chang, Hefei University of Technology, China; Zhan Si, University of Science and Technology of China, China; Jingjing Hu, Hefei University of Technology, China; Zhangling Duan, Institute of Artificial Intelligence, China; Dan Guo, Hefei University of Technology, China
MLSP-P73.10: DyLUT-UIE: A Dynamic Lookup Table Paradigm for Efficient Underwater Image Enhancement
Chang Huang, Shuxin Zhong, Jiatong Shen, The Hong Kong University of Science and Technology (Guangzhou), China; Zhexin Zhou, Jiantong Chen, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), China; Jun Ma, The Hong Kong University of Science and Technology (Guangzhou), China; Huayong Yang, Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), China; Kaishun Wu, The Hong Kong University of Science and Technology (Guangzhou), China
Contacts