Xuecen Zhang

According to our database, Xuecen Zhang authored at least 8 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Neural Architecture Search for Latency Constrained DNNs.

Jinghua Yan, Sina Mahdipour Saravani, Xuecen Zhang, Vipin Chaudhary, Gerald Sabin, Ponnuswamy Sadayappan

Proceedings of the 27th International Workshop on Mobile Computing Systems and Applications, 2026

LRD-Net: A Lightweight Real-Centered Detection Network for Cross-Domain Face Forgery Detection.

Xuecen Zhang, Vipin Chaudhary

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

2025

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks.

Debargha Ganguly, Vikash Singh, Sreehari Sankar, Biyao Zhang, Xuecen Zhang, Srinivasan Iyengar, Xiaotian Han, Amit Sharma, Shivkumar Kalyanaraman, Vipin Chaudhary

CoRR, May, 2025

Efficient Fine-Grained Gpu Performance Modeling for Distributed Deep Learning of Llm.

Biyao Zhang, Mingkai Zheng, Debargha Ganguly, Xuecen Zhang, Vikash Singh, Vipin Chaudhary, Zhao Zhang

Proceedings of the 32nd IEEE International Conference on High Performance Computing, 2025

2024

Novel adaptation of video segmentation to 3D MRI: efficient zero-shot knee segmentation with SAM2.

Andrew Seohwan Yu, Mohsen Hariri, Xuecen Zhang, Mingrui Yang, Vipin Chaudhary, Xiaojuan Li

CoRR, 2024

Dispatch of High-Performance Compressed Air Energy Storage in Distribution Networks.

Xuecen Zhang, Sunku Prasad Jenne, Jihong Wang

Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2024

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yung Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2023