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1,306 papers
Physics and Data Driven Transformer-Mamba Framework for Flow Field
Zhuo Zhang, Shun Zou, Canqun Yang +1
While deep learning accelerates expensive partial differential equation solving in computational fluid dynamics (CFD), existing methods like PINNs and FNOs often struggle with gene…
Tools-CC-Bench: a Benchmark Suite for Collective Communication with Compression in HPC and AI Workloads
Haozhe Fan, Wei Wang, Xingchen Liu +12
Distributed HPC and LLM workloads increasingly require efficient communication for scalability, yet growing data movement has become a major performance bottleneck. Communication c…
Cusp-singularity-enhanced Coriolis effect for ultrasensitive chip-scale gyroscopes
Sen Zhang, Dingbang Xiao, Fei Wang +8
Gyroscopes, as fundamental inertial sensors, are crucial for rotation measurements in consumer electronics, automotive, and aerospace industries, with the most widely used kind rel…
UniEvo-RS: Omni-Prompt Unified Remote Sensing Segmentation with Representative Exemplar-Driven Prototype Evolution
Kunquan Zhang, Peilang Li, Xikun Hu +4
Prompt-driven vision-language models (VLMs) hold immense promise for accelerating dense remote sensing (RS) annotation, but static models suffer from severe performance degradation…
Sample-half-inserted quantum interferometer
Wei Li, Tao Xie, Yu-Hang Luo +11
Quantum technologies have been widely recognized as unprecedented opportunities for ultra-high precision metrology. As a celebrated example in modern quantum optics, the Hong-Ou-Ma…
Knowledge-guided Disentanglement with Atomic Actions for Action Recognition
Tianci Wu, Siqi Cao, Guangming Zhu +6
Action recognition in complex scenes often involves multiple concurrent fine-grained actions, making it challenging to model internal action structures. Most existing methods rely…