Breakthrough Design Technology Co-optimization using BSPDN and Standard Cell Variants for Maximizing Block-level PPA. - Seungyoung Lee; Sungyup Jung; Yunkyeong Jang; Jungho Do; Jisu Yu; Hyeoungyu You; Minjae Jeong; Jinyoung Lim; Jiyun Han; Sangdo Park; Yongdeok Kim; Jooyeon Kwon; et al. (VLSI Technology and Circuits, 2023)

A 12-Gb/s Baud-Rate Clock and Data Recovery With 75% Phase-Detection Probability by Precoding and Integration-Hold-Reset Frontend. - Hyeongmin Seo; Jiyun Han; Kyungmin Kim 003; Baek-Jin Lim; EunSeok Shin; Youngdon Choi; Hyungjong Ko; Jung-Hwan Choi; Sang-Hyun Lee; Changsik Yoo; Jaeduk Han (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides. - Wanyun Zhou; Yufei Liu; Yingxin Li; Siqi Kong; Weilin Wang; Boyun Ding; Jiyun Han; Chaozhou Mou; Xin Gao 001; Juntao Liu (Patterns, 2023)

Spatom: a graph neural network for structure-based protein-protein interaction site prediction. - Haonan Wu; Jiyun Han; Shizhuo Zhang; Xin Gao 001; Chaozhou Mou; Juntao Liu (Briefings Bioinform., 2023)

TriStack enables accurate identification of antimicrobial and anti-inflammatory peptides by combining machine learning and deep learning approaches. - Jiyun Han; Qixuan Chen; Jiaying Su; Tongxin Kong; Yongchao Song; Sheng Long; Juntao Liu (Future Gener. Comput. Syst., 2024)

A 35-Gb/s PAM-4 Transmitter With 7B4Q Full-Transition Avoidance and Area-Efficient Gm-Boosting Techniques. - Eunji Song; Jiyun Han; Hyeongmin Seo; Hyuntae Kim; Hyunwoo Im; Jaeduk Han (IEEE Trans. Circuits Syst. II Express Briefs, 2024)