Yunjie Pan

According to our database, Yunjie Pan authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

Unveiling the Potential of Quantization with MXFP4: Strategies for Quantization Error Reduction.

Jatin Chhugani, Geonhwa Jeong, Bor-Yiing Su, Yunjie Pan, Hanmei Yang, Aayush Ankit, Jiecao Yu, Summer Deng, Yunqing Chen, Nadathur Satish, Changkyu Kim

CoRR, March, 2026

ScaleBITS: Scalable Bitwidth Search for Hardware-Aligned Mixed-Precision LLMs.

Xinlin Li, Timothy Chou, Josh Fromm, Zichang Liu, Yunjie Pan, Christina Fragouli

CoRR, February, 2026

SNIP: An Adaptive Mixed Precision Framework for Subbyte Large Language Model Training.

Yunjie Pan, Yongyi Yang, Hanmei Yang, Scott Mahlke

Proceedings of the 31st ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2026

2025

TIMEST: Temporal Information Motif Estimator Using Sampling Trees.

Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati

Proc. VLDB Endow., September, 2025

Triadic First-Order Logic Queries in Temporal Networks.

Omkar Bhalerao, Yunjie Pan, C. Seshadhri, Nishil Talati

CoRR, July, 2025

Shape-performance coupled digital twin based on heterogeneous data from multiple sources: a scissor lift platform example.

Hongjiang Lu, Zenggui Gao, Yanning Sun, Chaojia Gao, Zifeng Xu, Yunjie Pan, Lilan Liu

Eng. Comput., February, 2025

2024

Accurate and Fast Estimation of Temporal Motifs Using Path Sampling.

Yunjie Pan, Omkar Bhalerao, C. Seshadhri, Nishil Talati

Proceedings of the IEEE International Conference on Data Mining, 2024

PyTorch 2: Faster Machine Learning Through Dynamic Python Bytecode Transformation and Graph Compilation.

Jason Ansel, Edward Z. Yang, Horace He, Natalia Gimelshein, Animesh Jain, Michael Voznesensky, Bin Bao, Peter Bell, David Berard, Evgeni Burovski, Geeta Chauhan, Anjali Chourdia, Will Constable, Alban Desmaison, Zachary DeVito, Elias Ellison, Will Feng, Jiong Gong, Michael Gschwind, Brian Hirsh, Sherlock Huang, Kshiteej Kalambarkar, Laurent Kirsch, Michael Lazos, Mario Lezcano, Yanbo Liang, Jason Liang, Yinghai Lu, C. K. Luk, Bert Maher, Yunjie Pan, Christian Puhrsch, Matthias Reso, Mark Saroufim, Marcos Yukio Siraichi, Helen Suk, Shunting Zhang, Michael Suo, Phil Tillet, Xu Zhao, Eikan Wang, Keren Zhou, Richard Zou, Xiaodong Wang, Ajit Mathews, William Wen, Gregory Chanan, Peng Wu, Soumith Chintala

Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023

BitSET: Bit-Serial Early Termination for Computation Reduction in Convolutional Neural Networks.

Yunjie Pan, Jiecao Yu, Andrew Lukefahr, Reetuparna Das, Scott A. Mahlke

ACM Trans. Embed. Comput. Syst., October, 2023

Extracting and supplementing method for EEG signal in manufacturing workshop based on deep learning of time-frequency correlation.

Bin Ren, Yunjie Pan

J. Intell. Manuf., 2023

2022

A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing.

Muyangzi Lin, Miyuan Shan, Jie Zhou, Yunjie Pan

J. Comput. Inf. Sci. Eng., 2022

Fault Feature Extraction Method of Reciprocating Compressor Valve Based on SPA-MF.

Ying Li, Yunjie Pan, Peng Ba, Shihu Wu, Jiawen Chen

IEEE Access, 2022