Xiaotong Ji

According to our database, Xiaotong Ji authored at least 25 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Voltage Regulation and Accurate Power Sharing Under Denial-of-Service Attack for Microgrids Supplied Through 100% Distributed Renewable Generations.

Dan Liu, Xiaotong Ji, Zhiheng Zhao, Rui Wang, Qiuye Sun, Peng Wang

IEEE Trans. Consumer Electron., May, 2026

Risk-Controlled Lean-as-Judge for Natural-Language Mathematical Reasoning.

Pauline Bourigault, Xiaotong Ji, Matthieu Zimmer, Rasul Tutunov, Haitham Bou-Ammar

CoRR, May, 2026

The Model Knows, the Decoder Finds: Future Value Guided Particle Power Sampling.

Tu Nguyen, Matthieu Zimmer, Rasul Tutunov, Xiaotong Ji, Haitham Bou-Ammar

CoRR, May, 2026

The Y-Combinator for LLMs: Solving Long-Context Rot with λ-Calculus.

Amartya Roy, Rasul Tutunov, Xiaotong Ji, Matthieu Zimmer, Haitham Bou-Ammar

CoRR, March, 2026

Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers.

Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou-Ammar

CoRR, February, 2026

Multi-Task GRPO: Reliable LLM Reasoning Across Tasks.

Shyam Sundhar Ramesh, Xiaotong Ji, Matthieu Zimmer, Sangwoong Yoon, Zhiyong Wang, Haitham Bou-Ammar, Aurélien Lucchi, Ilija Bogunovic

CoRR, February, 2026

A Distributed Prescribed-Time Control for Islanded AC Microgrid With Unknown Disturbances.

Xiaotong Ji, Dan Liu, Ping Xiong, Lie Li, Yifan Zhao, Zhenxing Li

IEEE Trans. Circuits Syst. I Regul. Pap., January, 2026

Scalable Power Sampling: Unlocking Efficient, Training-Free Reasoning for LLMs via Distribution Sharpening.

Xiaotong Ji, Rasul Tutunov, Matthieu Zimmer, Haitham Bou-Ammar

CoRR, January, 2026

KFS-Bench: Comprehensive Evaluation of Key Frame Sampling in Long Video Understanding.

Zongyao Li, Kengo Ishida, Satoshi Yamazaki, Xiaotong Ji, Jianquan Liu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Rethinking Large Language Model Distillation: A Constrained Markov Decision Process Perspective.

Matthieu Zimmer, Xiaotong Ji, Tu Nguyen, Haitham Bou-Ammar

CoRR, September, 2025

Bourbaki: Self-Generated and Goal-Conditioned MDPs for Theorem Proving.

Matthieu Zimmer, Xiaotong Ji, Rasul Tutunov, Anthony Bordg, Jun Wang, Haitham Bou-Ammar

CoRR, July, 2025

Almost Surely Safe Alignment of Large Language Models at Inference-Time.

Xiaotong Ji, Shyam Sundhar Ramesh, Matthieu Zimmer, Ilija Bogunovic, Jun Wang, Haitham Bou-Ammar

CoRR, February, 2025

Fixed-Time Quasi-Consensus Current Sharing Control for Islanded DC Microgrids Under Unknown DoS Attacks Based on Event-Triggered Control.

Xiaotong Ji, Dan Liu, Xu Tian, Rui Wang, Qiuye Sun, Huaguang Zhang

IEEE Trans Autom. Sci. Eng., 2025

Robust Probabilistic Model Checking With Continuous Reward Domains.

Xiaotong Ji, Hanchun Wang, Antonio Filieri, Ilenia Epifani

Proceedings of the 20th IEEE/ACM Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2025

Enhancing Reliability of Medical Image Diagnosis through Top-rank Learning with Rejection Module.

Xiaotong Ji, Ryoma Bise, Seiichi Uchida

Proceedings of the 19th International Conference on Machine Vision and Applications, 2025

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, Jing Zhang, Xiaotong Ji, Fan Xiao, Qiteng Hong

IEEE Trans. Smart Grid, May, 2024

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

2023

Paired contrastive feature for highly reliable offline signature verification.

Xiaotong Ji, Daiki Suehiro, Seiichi Uchida

Pattern Recognit., December, 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., March, 2023

Probabilistic Counterexample Guidance for Safer Reinforcement Learning (Extended Version).

Xiaotong Ji, Antonio Filieri

CoRR, 2023

Probabilistic Counterexample Guidance for Safer Reinforcement Learning.

Xiaotong Ji, Antonio Filieri

Proceedings of the Quantitative Evaluation of Systems - 20th International Conference, 2023

2022

Analyzing a community worker's stress during the COVID-19 pandemic in China.

Ping Gui, Xiaotong Ji, Yanlan Mei, Zhicheng Quan

Kybernetes, 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

IEEE Access, 2022

Revealing Reliable Signatures by Learning Top-Rank Pairs.

Xiaotong Ji, Yan Zheng, Daiki Suehiro, Seiichi Uchida

Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

2019

Optimal Rejection Function Meets Character Recognition Tasks.

Xiaotong Ji, Yuchen Zheng, Daiki Suehiro, Seiichi Uchida

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019