Motion Profile Optimization in Industrial Robots using Reinforcement Learning. - Yunshi Wen; Honglu He; Agung Julius; John T. Wen (AIM, 2023)

Optimal Control of Discrete-Time Multivariate Point Processes with Finite-Time Steady State. - A. Agung Julius; Yunshi Wen; Ruixuan Yan (CDC, 2023)

Weighted Clock Logic Point Process. - Ruixuan Yan; Yunshi Wen; Debarun Bhattacharjya; Ronny Luss; Tengfei Ma 001; Achille Fokoue; Anak Agung Julius (ICLR, 2023)

High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots. - Honglu He; Chen-Lung Lu; Yunshi Wen; Glenn Saunders; Pinghai Yang; Jeffrey Schoonover; John D. Wason; Agung Julius; John T. Wen (ICRA, 2023)

High-Speed High-Accuracy Spatial Curve Tracking Using Motion Primitives in Industrial Robots. - Honglu He; Chen-Lung Lu; Yunshi Wen; Glenn Saunders; Pinghai Yang; Jeffrey Schoonover; Agung Julius; John T. Wen (CoRR, 2023)

Personalized Data-Driven State Models of the Circadian Dynamics in a Biometric Signal. - Chukwuemeka O. Ike; Yunshi Wen; John T. Wen; Meeko M. K. Oishi; Lee K. Brown; A. Agung Julius (EMBC, 2024)

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Yunshi Wen; Tengfei Ma 001; Lily Weng; Lam M. Nguyen; Anak Agung Julius (NeurIPS, 2024)

Abstracted Shapes as Tokens - A Generalizable and Interpretable Model for Time-series Classification. - Yunshi Wen; Tengfei Ma 001; Tsui-Wei Weng; Lam M. Nguyen; Anak Agung Julius (CoRR, 2024)

Shedding Light on Time Series Classification using Interpretability Gated Networks. - Yunshi Wen; Tengfei Ma 001; Ronny Luss; Debarun Bhattacharjya; Achille Fokoue; Anak Agung Julius (ICLR, 2025)