Zhijian Zhou

According to our database, Zhijian Zhou authored at least 50 papers between 2007 and 2026.

Collaborative distances:

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

2026

Nested Spatio-Temporal Time Series Forecasting.

Yinghao Ai, Yukai Zhou, Ruoxi Jiang, Junyi An, Chao Qu, Zhijian Zhou, Shiyu Wang, Fenglei Cao, Zenglin Xu, Furao Shen, Yuan Qi

CoRR, May, 2026

SQL-ASTRA: Alleviating Sparse Feedback in Agentic SQL via Column-Set Matching and Trajectory Aggregation.

Long Li, Zhijian Zhou, Jiangxuan Long, Peiyang Liu, Weidi Xu, Zhe Wang, Shirui Pan, Chao Qu

CoRR, March, 2026

DyJR: Preserving Diversity in Reinforcement Learning with Verifiable Rewards via Dynamic Jensen-Shannon Replay.

Long Li, Zhijian Zhou, Tianyi Wang, Weidi Xu, Zuming Huang, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi

CoRR, March, 2026

Equivariant Asynchronous Diffusion: An Adaptive Denoising Schedule for Accelerated Molecular Conformation Generation.

Junyi An, Chao Qu, Yunfei Shi, Zhijian Zhou, Fenglei Cao, Yuan Qi

CoRR, March, 2026

Development and multicenter validation of an explainable machine learning diagnostic criteria for pediatric abdominal sepsis.

Suqi Cao, Duote Cai, Shuhao Zhang, Yuchen He, Xiaojian Yuan, Zhiqiang Zhu, Xuefeng Miao, Shannan Wu, Yongxing Zhong, Fangyan Yang, Guofeng Yin, Juying Yan, Junjie Chen, Donglai Hu, Menglu Yu, Zhijian Zhou, Qiongjie Ruan, Boyun Xuan, Yihao Cai, Liangting Tao, Weiwei Zhang, Ting Yu, Junfen Zhou, Wei Song, Yanwei Tong, Yanhui Tian, Chunting Zhou, Dingfeng Wu, Daqing Ma, Zhigang Gao

npj Digit. Medicine, 2026

The Improvement of RoMa Dense Matching Framework With the Introduction of KAN.

Zhijian Zhou, Anlu Shi, Wei Wu

IEEE Access, 2026

Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning.

Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization.

Yuchen Shi, Yuzheng Cai, Siqi Cai, Zihan Xu, Lichao Chen, Yulei Qin, Zhijian Zhou, Xiang Fei, Chaofan Qiu, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Guocan Cai, Yong Mao, Yunsheng Wu, Ke Li, Xing Sun

CoRR, December, 2025

Determining Blockchain Transaction Timing and Fee with Observable Mempools.

Qianlan Bai, Yuedong Xu, Zhijian Zhou, Xin Wang

CoRR, December, 2025

Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards.

Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi

CoRR, October, 2025

Unleashing Flow Policies with Distributional Critics.

Deshu Chen, Yuchen Liu, Zhijian Zhou, Chao Qu, Yuan Qi

CoRR, September, 2025

The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward.

Long Li, Jiaran Hao, Jason Klein Liu, Zhijian Zhou, Xiaoyu Tan, Wei Chu, Zhe Wang, Shirui Pan, Chao Qu, Yuan Qi

CoRR, September, 2025

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs.

Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Zhucong Li, Zhijian Zhou, Song Wang, Zenglin Xu

CoRR, September, 2025

Guiding Diffusion Models with Reinforcement Learning for Stable Molecule Generation.

Zhijian Zhou, Junyi An, Zongkai Liu, Yunfei Shi, Xuan Zhang, Fenglei Cao, Chao Qu, Yuan Qi

CoRR, August, 2025

A Kernel Distribution Closeness Testing.

Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

CoRR, July, 2025

Interpretation with baseline shapley value for feature groups on tree models.

Fan Xu, Zhijian Zhou, Jie Ni, Wei Gao

Frontiers Comput. Sci., May, 2025

ChemHAS: Hierarchical Agent Stacking for Enhancing Chemistry Tools.

Zhucong Li, Bowei Zhang, Jin Xiao, Zhijian Zhou, Fenglei Cao, Jiaqing Liang, Yuan Qi

CoRR, May, 2025

ChemHTS: Hierarchical Tool Stacking for Enhancing Chemical Agents.

Zhucong Li, Jin Xiao, Bowei Zhang, Zhijian Zhou, Qianyu He, Fenglei Cao, Jiaqing Liang, Yuan Qi

CoRR, February, 2025

A Unified Data Representation Learning for Non-parametric Two-sample Testing.

Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

DUAL: Learning Diverse Kernels for Aggregated Two-sample and Independence Testing.

Zhijian Zhou, Xunye Tian, Liuhua Peng, Chao Lei, Antonin Schrab, Danica J. Sutherland, Feng Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Anchor-based Maximum Discrepancy for Relative Similarity Testing.

Zhijian Zhou, Liuhua Peng, Xunye Tian, Feng Liu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

From Implicit Exploration to Structured Reasoning: Guideline and Refinement for LLMs.

Jiaxiang Chen, Zhuo Wang, Mingxi Zou, Zhucong Li, Zhijian Zhou, Song Wang, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

A High-Sensitivity Magnetic Moment Measurement System for Large Samples Based on a Single-Axis Atomic Magnetometer.

Yongze Sun, Yuanrui Zhou, Xixi Wang, Dongxu Bai, Yanzhang Wang, Zhijian Zhou

IEEE Trans. Instrum. Meas., 2024

Revisit Non-parametric Two-sample Testing as a Semi-supervised Learning Problem.

Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Feng Liu

CoRR, 2024

2023

A Single-Axis Atomic Magnetometer-Based Mouse Magnetocardiography Measurement System.

Yongze Sun, Xixi Wang, Yuanrui Zhou, Jianan Qin, Dongxu Bai, Yanzhang Wang, Zhijian Zhou

IEEE Trans. Instrum. Meas., 2023

On the Exploration of Local Significant Differences For Two-Sample Test.

Zhijian Zhou, Jie Ni, Jia-He Yao, Wei Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Weight Optimization of the Induction Magnetometer at Low Frequency.

Zhijian Zhou, Yihang Wang, Weijie Sun, Mengdi Wang

IEEE Trans. Instrum. Meas., 2022

⁴He Optically Pumped Magnetometer With RF Field Modulation and Light Stabilization in Deep Well for Earthquake Monitoring.

Jie Zhang, Yanzhang Wang, Chao Wang, Zhijian Zhou, Wenduo Li

IEEE Trans. Instrum. Meas., 2022

Ramp loss KNN-weighted multi-class twin support vector machine.

Huiru Wang, Yitian Xu, Zhijian Zhou

Soft Comput., 2022

Reductive and effective discriminative information-based nonparallel support vector machine.

Chunmei Wang, Huiru Wang, Zhijian Zhou

Appl. Intell., 2022

2021

Twin-parametric margin support vector machine with truncated pinball loss.

Huiru Wang, Yitian Xu, Zhijian Zhou

Neural Comput. Appl., 2021

Multi-view learning based on maximum margin of twin spheres support vector machine.

Huiru Wang, Zhijian Zhou

J. Intell. Fuzzy Syst., 2021

Rough margin-based <i>ν</i>-twin support tensor machine in pattern recognition.

Huiru Wang, Zhijian Zhou

J. Intell. Fuzzy Syst., 2021

Cooperative Target Search for UAVs in Urban Environment.

Tong Men, Daqian Liu, Xiaomin Zhu, Bowen Fei, Zhijian Zhou, Weidong Bao

Proceedings of the 9th IEEE International Conference on Smart City and Informatization, 2021

2020

Ramp loss for twin multi-class support vector classification.

Huiru Wang, Sijie Lu, Zhijian Zhou

Int. J. Syst. Sci., 2020

Detection and Classification of Multi-Magnetic Targets Using Mask-RCNN.

Zhijian Zhou, Meng Zhang, Jiefu Chen, Xuqing Wu

IEEE Access, 2020

2019

A Nonlinear <i>∨</i>-Twin Support Tensor Machine.

Huiru Wang, Weisong Mu, Zhijian Zhou

J. Inf. Hiding Multim. Signal Process., 2019

All-in-one multicategory Ramp loss maximum margin of twin spheres support vector machine.

Sijie Lu, Huiru Wang, Zhijian Zhou

Appl. Intell., 2019

2018

Uncertainty Estimation in the Neural Model for Aeromagnetic Compensation.

Ming Ma, Defu Cheng, Stephan K. Chalup, Zhijian Zhou

IEEE Geosci. Remote. Sens. Lett., 2018

An improved ν-twin bounded support vector machine.

Huiru Wang, Zhijian Zhou, Yitian Xu

Appl. Intell., 2018

2017

An improved rough margin-based ν-twin bounded support vector machine.

Huiru Wang, Zhijian Zhou

Knowl. Based Syst., 2017

2016

Output performance optimization for RTD fluxgate sensor based on dynamic permeability.

Yanzhang Wang, Shujun Wu, Hao Lu, Defu Cheng, Chen Chen, Na Pang, Yunxia Wan, Zhijian Zhou, Siyu Chen

Sci. China Inf. Sci., 2016

2015

A new privacy-preserving proximal support vector machine for classification of vertically partitioned data.

Li Sun, Weisong Mu, Biao Qi, Zhijian Zhou

Int. J. Mach. Learn. Cybern., 2015

A Fuzzy Least Squares Support Tensor Machines in Machine Learning.

Ruiting Zhang, Zhijian Zhou

Int. J. Emerg. Technol. Learn., 2015

Structural least square twin support vector machine for classification.

Yitian Xu, Xianli Pan, Zhijian Zhou, Zhiji Yang, Yuqun Zhang

Appl. Intell., 2015

2013

Research on the Dynamic Hysteresis Loop Model of the Residence Times Difference (RTD)-Fluxgate.

Yanzhang Wang, Shujun Wu, Zhijian Zhou, Defu Cheng, Na Pang, Yunxia Wan

Sensors, 2013

Daily Sales Forecasting for Grapes by Support Vector Machine.

Qian Wen, Weisong Mu, Li Sun, Su Hua, Zhijian Zhou

Proceedings of the Computer and Computing Technologies in Agriculture VII, 2013

Weighted support vector machine based on association rules.

Chun-Yan Liu, Li Sun, Zhijian Zhou

Proceedings of the International Conference on Machine Learning and Cybernetics, 2013

2011

Wide-band piezoresistive aero-acoustic microphone.

Zhijian Zhou, Man Wong, Libor Rufer

Proceedings of the IEEE/IFIP 19th International Conference on VLSI and System-on-Chip, 2011

2007

Construction and Application Based on Compressing Depiction in Profile Hidden Markov Model.

Zhijian Zhou, Daoliang Li, Li Li, Zetian Fu

Proceedings of the Computer And Computing Technologies In Agriculture, 2007