| 2026 | SAC | SAP: Syntactic Attention Pruning for Transformer-based Language Models. | Tzu-Yun Lee, Ding-Yong Hong, Jan-Jan Wu |
| 2025 | COMPSAC | A Grouping Algorithm for Training Tree-Shaped Models on Multiple GPUs with High Efficiency. | Cai-Feng Lin, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu, Tzu-Hsien Tsai |
| 2025 | PDP | Execution Time Optimization for Pipeline Deep Network Training on Multiple GPUs. | Bing-Jou Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu |
| 2025 | SAC | Optimizing Compute Core Assignment for Dynamic Batch Inference in AI Inference Accelerator. | Ze-Wei Liou, Ding-Yong Hong |
| 2024 | COMPSAC | Effective Compression of Language Models by Combining Pruning and Knowledge Distillation. | Chi-Yu Chiu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu |
| 2024 | ISPA | Approximation Algorithms and Simulated Annealing Heuristics for Row-and-Column Pruning of Deep Neural Networks. | Ping-Han Tu, Yu-Che Cheng, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu |
| 2023 | ICPADS | Function Clustering to Optimize Resource Utilization on Container Platform. | Chao-Yu Lee, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu |
| 2023 | ICPADS | Exploiting Fine-Grained Structured Pruning for Efficient Inference on CNN Model. | Cheng-Hung Wu, Ding-Yong Hong, Pangfeng Liu, Jan-Jan Wu |
| 2022 | COMPSAC | Efficient Dual Batch Size Deep Learning for Distributed Parameter Server Systems. | Kuan-Wei Lu, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu |
| 2022 | ICPADS | Rewriting Deep Learning Models for Maximizing Edge TPU Utilization. | Kung-Fu Chen, Ding-Yong Hong |
| 2022 | ICPADS | Accelerating Convolutional Neural Networks via Inter-operator Scheduling. | Yi You, Pangfeng Liu, Ding-Yong Hong, Jan-Jan Wu, Wei-Chung Hsu |
| 2019 | ICPP | Exploiting Vector Processing in Dynamic Binary Translation. | Chih-Min Lin, Sheng-Yu Fu, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu |
| 2018 | CASES | Exploiting SIMD capability in an ARMv7-to-ARMv8 dynamic binary translator. | Sheng-Yu Fu, Chih-Min Lin, Ding-Yong Hong, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu |
| 2016 | ICPADS | Exploiting Longer SIMD Lanes in Dynamic Binary Translation. | Ding-Yong Hong, Sheng-Yu Fu, Yu-Ping Liu, Jan-Jan Wu, Wei-Chung Hsu |
| 2015 | ICPADS | SIMD Code Translation in an Enhanced HQEMU. | Sheng-Yu Fu, Ding-Yong Hong, Jan-Jan Wu, Pangfeng Liu, Wei-Chung Hsu |
| 2014 | VEE | DBILL: an efficient and retargetable dynamic binary instrumentation framework using llvm backend. | Yi-Hong Lyu, Ding-Yong Hong, Tai-Yi Wu, Jan-Jan Wu, Wei-Chung Hsu, Pangfeng Liu, Pen-Chung Yew |
| 2013 | VEE | Improving dynamic binary optimization through early-exit guided code region formation. | Chun-Chen Hsu, Pangfeng Liu, Jan-Jan Wu, Pen-Chung Yew, Ding-Yong Hong, Wei-Chung Hsu, Chien-Min Wang |
| 2012 | CGO | HQEMU: a multi-threaded and retargetable dynamic binary translator on multicores. | Ding-Yong Hong, Chun-Chen Hsu, Pen-Chung Yew, Jan-Jan Wu, Wei-Chung Hsu, Pangfeng Liu, Chien-Min Wang, Yeh-Ching Chung |
| 2011 | ICPP | LnQ: Building High Performance Dynamic Binary Translators with Existing Compiler Backends. | Chun-Chen Hsu, Pangfeng Liu, Chien-Min Wang, Jan-Jan Wu, Ding-Yong Hong, Pen-Chung Yew, Wei-Chung Hsu |