| 2024 | NAACL | CodecLM: Aligning Language Models with Tailored Synthetic Data. | Zifeng Wang, Chun-Liang Li, Vincent Perot, Long T. Le, Jin Miao, Zizhao Zhang, Chen-Yu Lee, Tomas Pfister |
| 2023 | EMNLP | DocumentNet: Bridging the Data Gap in Document Pre-training. | Lijun Yu, Jin Miao, Xiaoyu Sun, Jiayi Chen, Alexander G. Hauptmann, Hanjun Dai, Wei Wei |
| 2021 | DATE | Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. | Qi Sun, Tinghuan Chen, Siting Liu, Jin Miao, Jianli Chen, Hao Yu, Bei Yu |
| 2020 | ICCAD | Hotspot Detection via Attention-based Deep Layout Metric Learning. | Hao Geng, Haoyu Yang, Lu Zhang, Jin Miao, Fan Yang, Xuan Zeng, Bei Yu |
| 2019 | ICCAD | Power-Driven DNN Dataflow Optimization on FPGA. | Qi Sun, Tinghuan Chen, Jin Miao, Bei Yu |
| 2017 | ICCAD | A unified framework for simultaneous layout decomposition and mask optimization. | Yuzhe Ma, Jhih-Rong Gao, Jian Kuang, Jin Miao, Bei Yu |
| 2017 | ISLPED | A learning bridge from architectural synthesis to physical design for exploring power efficient high-performance adders. | Subhendu Roy, Yuzhe Ma, Jin Miao, Bei Yu |
| 2016 | DAC | Practical public PUF enabled by solving max-flow problem on chip. | Meng Li, Jin Miao, Kai Zhong, David Z. Pan |
| 2016 | ICCAD | LRR-DPUF: learning resilient and reliable digital physical unclonable function. | Jin Miao, Meng Li, Subhendu Roy, Bei Yu |
| 2014 | ICCAD | Multi-level approximate logic synthesis under general error constraints. | Jin Miao, Andreas Gerstlauer, Michael Orshansky |
| 2013 | ICCAD | Approximate logic synthesis under general error magnitude and frequency constraints. | Jin Miao, Andreas Gerstlauer, Michael Orshansky |
| 2012 | ICCAD | Modeling and synthesis of quality-energy optimal approximate adders. | Jin Miao, Ku He, Andreas Gerstlauer, Michael Orshansky |