Optimal Rejection Function Meets Character Recognition Tasks. - Xiaotong Ji; Yuchen Zheng; Daiki Suehiro; Seiichi Uchida (ACPR (2), 2019)

Revealing Reliable Signatures by Learning Top-Rank Pairs. - Xiaotong Ji; Yan Zheng; Daiki Suehiro; Seiichi Uchida (DAS, 2022)

A Fully Distributed Economic Dispatch Method in DC Microgrid Based on Consensus Algorithm. - Dan Liu; Kezheng Jiang; Linfang Yan; Xiaotong Ji; Kan Cao; Ping Xiong 003 (IEEE Access, 2022)

Analyzing a community worker's stress during the COVID-19 pandemic in China. - Ping Gui; Xiaotong Ji; Yanlan Mei; Zhicheng Quan (Kybernetes, 2022)

Probabilistic Counterexample Guidance for Safer Reinforcement Learning. - Xiaotong Ji; Antonio Filieri (QEST, 2023)

Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version). - Xiaotong Ji; Antonio Filieri (CoRR, 2023)

Multi-agent quantum-inspired deep reinforcement learning for real-time distributed generation control of 100% renewable energy systems. - Dan Liu; Yingzi Wu; Yiqun Kang; Linfei Yin; Xiaotong Ji; Xinghui Cao; Chuangzhi Li (Eng. Appl. Artif. Intell., 2023)

Paired contrastive feature for highly reliable offline signature verification. - Xiaotong Ji; Daiki Suehiro; Seiichi Uchida (Pattern Recognit., 2023)

A fault ride-through strategy for accurate energy optimization of offshore wind VSC HVDC system without improved fault ride-through strategy of wind turbines. - Fan Xiao; Xin Yin; Jinrui Tang; Qingqing He; Keliang Zhou; Chao Tang; Dan Liu; Xiaotong Ji (Comput. Electr. Eng., 2024)

A Multi-Terminal Current Differential Protection Setting Method for Fully Weak-Infeed Distribution Networks Based on Restricted Enumeration Method. - Botong Li; Fahui Chen; Bin Li 028; Jing Zhang; Xiaotong Ji; Fan Xiao; Qiteng Hong (IEEE Trans. Smart Grid, 2024)

Robust Probabilistic Model Checking With Continuous Reward Domains. - Xiaotong Ji; Hanchun Wang; Antonio Filieri; Ilenia Epifani (SEAMS@ICSE, 2025)

Almost Surely Safe Alignment of Large Language Models at Inference-Time. - Xiaotong Ji; Shyam Sundhar Ramesh; Matthieu Zimmer; Ilija Bogunovic; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving. - Matthieu Zimmer; Xiaotong Ji; Rasul Tutunov; Anthony Bordg; Jun Wang 012; Haitham Bou-Ammar (CoRR, 2025)

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module. - Xiaotong Ji; Ryoma Bise; Seiichi Uchida (CoRR, 2025)