A 720-mVpp 224-Gb/s PAM4 Optical Receiver with Multiple Peaking Techniques in 130-nm SiGe BiCMOS. - Qi Zhang; Xiongshi Luo; Zhenghao Li; Dongfan Xu; Siqiang Zhu; Leiming Wang; Zhenjiang Mao; Xiaoyan Gui; Dan Li 011; Hongyu Yu; Quan Pan 002 (APCCAS, 2021)

How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy. - Zhenjiang Mao; Carson Sobolewski; Ivan Ruchkin (L4DC, 2024)

Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models. - Zhenjiang Mao; Siqi Dai; Yuang Geng; Ivan Ruchkin (CoRR, 2024)

Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving. - Zhenjiang Mao; Dong-You Jhong; Ao Wang; Ivan Ruchkin (CoRR, 2024)

Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations for Visual Trajectory Prediction. - Zhenjiang Mao; Ivan Ruchkin (CoRR, 2024)

Four Principles for Physically Interpretable World Models. - Jordan Peper; Zhenjiang Mao; Yuang Geng; Siyuan Pan; Ivan Ruchkin (NeuS, 2025)

Generalizable Image Repair for Robust Visual Autonomous Racing. - Carson Sobolewski; Zhenjiang Mao; Kshitij Maruti Vejre; Ivan Ruchkin (CoRR, 2025)

Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic. - Zhenjiang Mao; Artem Bisliouk; Rohith Reddy Nama; Ivan Ruchkin (CoRR, 2025)

How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy. - Zhenjiang Mao; Mrinall Eashaan Umasudhan; Ivan Ruchkin (CoRR, 2025)