Yichuan Cheng

According to our database, Yichuan Cheng authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Generalized Time Series Classification via Component Decomposition and Alignment.

Yichuan Cheng, Darrick Lee, Harald Oberhauser, Haoliang Li

IEEE Trans. Big Data, October, 2025

2024

Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks.

Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu

CoRR, 2024

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference.

Benjamin Walker, Andrew D. McLeod, Tiexin Qin, Yichuan Cheng, Haoliang Li, Terry J. Lyons

Proceedings of the Forty-first International Conference on Machine Learning, 2024

SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression.

Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

SRFormer: Empowering Regression-Based Text Detection Transformer with Segmentation.

Qingwen Bu, Sungrae Park, Minsoo Khang, Yichuan Cheng

CoRR, 2023