AOMO: An AI-aided Optimizer for Microservices Orchestration. - Xue Leng; Tzung-Han Juang; Yan Chen 004; Han Liu 001 (SIGCOMM Posters and Demos, 2019)

Collision-free Navigation of Human-centered Robots via Markov Games. - Guo Ye; Qinjie Lin; Tzung-Han Juang; Han Liu 001 (ICRA, 2020)

Optimizing data reshaping operations in functional IRs for high-level synthesis. - Christof Schlaak; Tzung-Han Juang; Christophe Dubach (LCTES, 2022)

Memory-Aware Functional IR for Higher-Level Synthesis of Accelerators. - Christof Schlaak; Tzung-Han Juang; Christophe Dubach (ACM Trans. Archit. Code Optim., 2022)

Let Coarse-Grained Resources Be Shared: Mapping Entire Neural Networks on FPGAs. - Tzung-Han Juang; Christof Schlaak; Christophe Dubach (ACM Trans. Embed. Comput. Syst., 2023)

Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling. - Jaeyeon Jang; Diego Klabjan; Han Liu 001; Nital S. Patel; Xiuqi Li; Balakrishnan Ananthanarayanan; Husam Dauod; Tzung-Han Juang (CoRR, 2024)

Learning multiple coordinated agents under directed acyclic graph constraints. - Jaeyeon Jang; Diego Klabjan; Han Liu 001; Nital S. Patel; Xiuqi Li; Balakrishnan Ananthanarayanan; Husam Dauod; Tzung-Han Juang (Expert Syst. Appl., 2025)

Maximizing Data and Hardware Reuse for HLS with Early-Stage Symbolic Partitioning. - Tzung-Han Juang; Christophe Dubach (ACM Trans. Archit. Code Optim., 2025)