Radiation-hardened library cell template and its total ionizing dose (TID) delay characterization in 65nm CMOS process. - Joseph S. Chang; Kwen-Siong Chong; Wei Shu; Tong Lin 001; Jize Jiang; Ne Kyaw Zwa Lwin; Yang Kang (MWSCAS, 2014)

A novel subthreshold voltage reference featuring 17ppm/°C TC within -40°C to 125°C and 75dB PSRR. - Jize Jiang; Wei Shu; Joseph Sylvester Chang; Jingyuan Liu (ISCAS, 2015)

Total Ionizing Dose (TID) effects on finger transistors in a 65nm CMOS process. - Jize Jiang; Wei Shu; Kwen-Siong Chong; Tong Lin 001; Ne Kyaw Zwa Lwin; Joseph Sylvester Chang; Jingyuan Liu (ISCAS, 2016)

Experimental investigation into radiation-hardening-by-design (RHBD) flip-flop designs in a 65nm CMOS process. - Tong Lin 001; Kwen-Siong Chong; Wei Shu; Ne Kyaw Zwa Lwin; Jize Jiang; Joseph S. Chang (ISCAS, 2016)

A 5.6 ppm/°C Temperature Coefficient, 87-dB PSRR, Sub-1-V Voltage Reference in 65-nm CMOS Exploiting the Zero-Temperature-Coefficient Point. - Jize Jiang; Wei Shu; Joseph S. Chang (IEEE J. Solid State Circuits, 2017)

Radiation Hardening By Design Integrated Circuits Enabling Low-Cost Satellites for Internet-of-Things. - Wei Shu; Jize Jiang; Kwen-Siong Chong; Joseph Sylvester Chang (DSP, 2018)

A 65-nm CMOS Low Dropout Regulator Featuring >60-dB PSRR Over 10-MHz Frequency Range and 100-mA Load Current Range. - Jize Jiang; Wei Shu; Joseph S. Chang (IEEE J. Solid State Circuits, 2018)

Competence-Based Analysis of Language Models. - Adam Davies; Jize Jiang; ChengXiang Zhai (CoRR, 2023)

Efficient Title Reranker for Fast and Improved Knowledge-Intense NLP. - Ziyi Chen; Heyi Tao; Daqian Zuo; Jize Jiang; Jun Yang; Yuxiang Wei 003 (CoRR, 2023)

UOUO: Uncontextualized Uncommon Objects for Measuring Knowledge Horizons of Vision Language Models. - Xinyu Pi; Mingyuan Wu; Jize Jiang; Haozhen Zheng; Beitong Tian; ChengXiang Zhai; Klara Nahrstedt; Zhiting Hu (EMNLP, 2024)

Cache-of-Thought: Master-Apprentice Framework for Cost-Effective Vision Language Model Inference. - Mingyuan Wu; Jize Jiang; Haozhen Zheng; Meitang Li; Zhaoheng Li; Beitong Tian; Bo Chen 025; Yongjoo Park; Minjia Zhang; Chengxiang Zhai; Klara Nahrstedt (CoRR, 2025)

VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use. - Mingyuan Wu; Jingcheng Yang; Jize Jiang; Meitang Li; Kaizhuo Yan; Hanchao Yu; Minjia Zhang; Chengxiang Zhai; Klara Nahrstedt (CoRR, 2025)

Aha Moment Revisited: Are VLMs Truly Capable of Self Verification in Inference-time Scaling? - Mingyuan Wu; Meitang Li; Jingcheng Yang; Jize Jiang; Kaizhuo Yan; Zhaoheng Li; Minjia Zhang; Klara Nahrstedt (CoRR, 2025)