Zhenjiang Mao

14 papers A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Confidence over Time: Confidence Calibration with Temporal Logic for Large Language Model Reasoning.
CoRR
Zhenjiang Mao, Anirudhh Venkat, Artem Bisliouk, Akshat Kothiyal, Sindhura Kumbakonam Subramanian, Saithej Singhu, Ivan Ruchkin
2026 J jnl
Recurrent Confidence Chain: Temporal-Aware Uncertainty Quantification in Large Language Models.
CoRR
Zhenjiang Mao, Anirudhh Venkat
2025 — conf
Four Principles for Physically Interpretable World Models.
NeuS
Jordan Peper, Zhenjiang Mao, Yuang Geng, Siyuan Pan, Ivan Ruchkin
2025 J jnl
Four Principles for Physically Interpretable World Models.
CoRR
Jordan Peper, Zhenjiang Mao, Yuang Geng, Siyuan Pan, Ivan Ruchkin
2025 J jnl
Generalizable Image Repair for Robust Visual Autonomous Racing.
CoRR
Carson Sobolewski, Zhenjiang Mao, Kshitij Maruti Vejre, Ivan Ruchkin
2025 A conf
Generalizable Image Repair for Robust Visual Control.
IROS
Carson Sobolewski, Zhenjiang Mao, Kshitij Maruti Vejre, Ivan Ruchkin
2025 J jnl
How Safe Will I Be Given What I Saw? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy.
CoRR
Zhenjiang Mao, Mrinall Eashaan Umasudhan, Ivan Ruchkin
2025 J jnl
Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic.
CoRR
Zhenjiang Mao, Artem Bisliouk, Rohith Reddy Nama, Ivan Ruchkin
2024 — conf
How safe am I given what I see? Calibrated prediction of safety chances for image-controlled autonomy.
L4DC
Zhenjiang Mao, Carson Sobolewski, Ivan Ruchkin
2024 J jnl
Language-Enhanced Latent Representations for Out-of-Distribution Detection in Autonomous Driving.
CoRR
Zhenjiang Mao, Dong-You Jhong, Ao Wang, Ivan Ruchkin
2024 J jnl
Towards Physically Interpretable World Models: Meaningful Weakly Supervised Representations for Visual Trajectory Prediction.
CoRR
Zhenjiang Mao, Ivan Ruchkin
2024 J jnl
Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models.
CoRR
Zhenjiang Mao, Siqi Dai, Yuang Geng, Ivan Ruchkin
2023 J jnl
How Safe Am I Given What I See? Calibrated Prediction of Safety Chances for Image-Controlled Autonomy.
CoRR
Zhenjiang Mao, Carson Sobolewski, Ivan Ruchkin
2021 — conf
A 720-mVpp 224-Gb/s PAM4 Optical Receiver with Multiple Peaking Techniques in 130-nm SiGe BiCMOS.
APCCAS
Qi Zhang, Xiongshi Luo, Zhenghao Li, Dongfan Xu, Siqiang Zhu, Leiming Wang, Zhenjiang Mao, Xiaoyan Gui, Dan Li, Hongyu Yu, Quan Pan