Modeling and synthesis of quality-energy optimal approximate adders. - Jin Miao; Ku He; Andreas Gerstlauer; Michael Orshansky (ICCAD, 2012)

Approximate logic synthesis under general error magnitude and frequency constraints. - Jin Miao; Andreas Gerstlauer; Michael Orshansky (ICCAD, 2013)

Multi-level approximate logic synthesis under general error constraints. - Jin Miao; Andreas Gerstlauer; Michael Orshansky (ICCAD, 2014)

可组合的描述符泄露类型检查 (Compositional Type Checking of Descriptor Leaking). - Qin Li; Jin Miao (计算机科学, 2015)

Practical public PUF enabled by solving max-flow problem on chip. - Meng Li 004; Jin Miao; Kai Zhong; David Z. Pan (DAC, 2016)

LRR-DPUF: learning resilient and reliable digital physical unclonable function. - Jin Miao; Meng Li 004; Subhendu Roy; Bei Yu 001 (ICCAD, 2016)

A unified framework for simultaneous layout decomposition and mask optimization. - Yuzhe Ma; Jhih-Rong Gao; Jian Kuang 001; Jin Miao; Bei Yu 001 (ICCAD, 2017)

A learning bridge from architectural synthesis to physical design for exploring power efficient high-performance adders. - Subhendu Roy; Yuzhe Ma; Jin Miao; Bei Yu 001 (ISLPED, 2017)

SD-PUF: Spliced Digital Physical Unclonable Function. - Jin Miao; Meng Li 004; Subhendu Roy; Yuzhe Ma; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Power-Driven DNN Dataflow Optimization on FPGA. - Qi Sun 002; Tinghuan Chen; Jin Miao; Bei Yu 001 (ICCAD, 2019)

Cross-Layer Optimization for High Speed Adders: A Pareto Driven Machine Learning Approach. - Yuzhe Ma; Subhendu Roy; Jin Miao; Jiamin Chen; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2019)

Hotspot Detection via Attention-based Deep Layout Metric Learning. - Hao Geng; Haoyu Yang; Lu Zhang; Jin Miao; Fan Yang 001; Xuan Zeng 001; Bei Yu 001 (ICCAD, 2020)

A Unified Framework for Simultaneous Layout Decomposition and Mask Optimization. - Yuzhe Ma; Wei Zhong; Shuxiang Hu; Jhih-Rong Gao; Jian Kuang 001; Jin Miao; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Correlated Multi-objective Multi-fidelity Optimization for HLS Directives Design. - Qi Sun 002; Tinghuan Chen; Siting Liu 002; Jin Miao; Jianli Chen; Hao Yu 001; Bei Yu 001 (DATE, 2021)

High-Speed Adder Design Space Exploration via Graph Neural Processes. - Hao Geng; Yuzhe Ma; Qi Xu; Jin Miao; Subhendu Roy; Bei Yu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

DocumentNet: Bridging the Data Gap in Document Pre-training. - Lijun Yu; Jin Miao; Xiaoyu Sun; Jiayi Chen; Alexander G. Hauptmann; Hanjun Dai; Wei Wei 019 (EMNLP (Industry Track), 2023)

Document Entity Retrieval with Massive and Noisy Pre-training. - Lijun Yu; Jin Miao; Xiaoyu Sun; Jiayi Chen; Alexander G. Hauptmann; Hanjun Dai; Wei Wei 019 (CoRR, 2023)

Locating the Oil Leakage on Power Equipment via Ultraviolet-Induced Hyperspectral Imaging Technology. - Changjie Xia; Ming Ren; Qianyu Li; Yadong Xing; Ming Dong 002; Tao Zhang; Jin Miao (IEEE Trans. Instrum. Meas., 2023)

CodecLM: Aligning Language Models with Tailored Synthetic Data. - Zifeng Wang 002; Chun-Liang Li; Vincent Perot; Long T. Le; Jin Miao; Zizhao Zhang; Chen-Yu Lee; Tomas Pfister (NAACL-HLT (Findings), 2024)

Designing Loot Boxes: Implications for Profits and Welfare. - Jin Miao; Sanjay Jain 004 (Mark. Sci., 2024)