Taiyu Ban

According to our database, Taiyu Ban authored at least 31 papers between 2022 and 2026.

Collaborative distances:

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

2026

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation in Autonomous Driving.

Jianbo Zhao, Taiyu Ban, Xiyang Wang, Qibin Zhou, Hangning Zhou, Zhihao Liu, Xiangjie Li, Lei Liu, Bin Li

IEEE Robotics Autom. Lett., May, 2026

Counterfactual-Driven Zero-Shot Classifier Expansion.

Xiangyu Wang, Yanze Gao, Changxin Rong, Lyuzhou Chen, Derui Lyu, Xiren Zhou, Taiyu Ban, Huanhuan Chen

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks.

Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

IEEE Trans. Pattern Anal. Mach. Intell., December, 2025

Integrating Large Language Model for Improved Causal Discovery.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Qiang Tu, Huanhuan Chen

IEEE Trans. Artif. Intell., November, 2025

Autoregressive End-to-End Planning with Time-Invariant Spatial Alignment and Multi-Objective Policy Refinement.

Jianbo Zhao, Taiyu Ban, Xiangjie Li, Xingtai Gui, Hangning Zhou, Lei Liu, Hongwei Zhao, Bin Li

CoRR, September, 2025

Improving knowledge graphs via data-based causal structures.

Derui Lyu, Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Kaiming Xiao, Lihua Liu

Knowl. Inf. Syst., August, 2025

Harnessing the Power of Knowledge Graphs to Improve Causal Discovery.

Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Derui Lyu, Xi Fan, Huanhuan Chen

IEEE Trans. Emerg. Top. Comput. Intell., June, 2025

Large-Scale Hierarchical Causal Discovery via Weak Prior Knowledge.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Derui Lyu, Qinrui Zhu, Huanhuan Chen

IEEE Trans. Knowl. Data Eng., May, 2025

Autoregressive Meta-Actions for Unified Controllable Trajectory Generation.

Jianbo Zhao, Taiyu Ban, Xiyang Wang, Qibin Zhou, Hangning Zhou, Zhihao Liu, Mu Yang, Lei Liu, Bin Li

CoRR, May, 2025

LLM-Driven Causal Discovery via Harmonized Prior.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Qinrui Zhu, Huanhuan Chen

IEEE Trans. Knowl. Data Eng., April, 2025

Clinical causal analysis via iterative active structure learning.

Zhenchao Tao, Meiyan Chi, Lyuzhou Chen, Taiyu Ban, Qiang Tu, Fei Gao, Wei Wang

Memetic Comput., March, 2025

DRoPE: Directional Rotary Position Embedding for Efficient Agent Interaction Modeling.

Jianbo Zhao, Taiyu Ban, Zhihao Liu, Hangning Zhou, Xiyang Wang, Qibin Zhou, Hailong Qin, Mu Yang, Lei Liu, Bin Li

CoRR, March, 2025

KiGRAS: Kinematic-Driven Generative Model for Realistic Agent Simulation.

Jianbo Zhao, Jiaheng Zhuang, Qibin Zhou, Taiyu Ban, Ziyao Xu, Hangning Zhou, Junhe Wang, Guoan Wang, Zhiheng Li, Bin Li

IEEE Robotics Autom. Lett., February, 2025

Pattern-Guided Adaptive Prior for Structure Learning.

Lyuzhou Chen, Yijia Sun, Yanze Gao, Xiangyu Wang, Derui Lyu, Taiyu Ban, Xin Wang, Xiren Zhou, Huanhuan Chen

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

Expanding the Category of Classifiers with LLM Supervision.

Derui Lyu, Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xiren Zhou, Huanhuan Chen

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Differentiable Structure Learning with Ancestral Constraints.

Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Xin Wang, Derui Lyu, Qinrui Zhu, Huanhuan Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Continuous Structure Constraint Integration for Robust Causal Discovery.

Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yijia Sun, Kangtao Hu, Xiangyu Wang, Huanhuan Chen

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Knowledge Verification From Data.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xingyu Wu, Derui Lyu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., March, 2024

Research Ideas Discovery via Hierarchical Negative Correlation.

Lyuzhou Chen, Xiangyu Wang, Taiyu Ban, Muhammad Usman, Shikang Liu, Derui Lyu, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal With External Consistency.

Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., February, 2024

Decentralised Knowledge Graph Evolution via Blockchain.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Yifeng Guan, Derui Lyu, Jian Cheng, Huanhuan Chen, Cyril Leung, Chunyan Miao

IEEE Trans. Serv. Comput., 2024

Leveraging Multisource Label Learning for Underground Object Recognition.

Derui Lyu, Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Qinrui Zhu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2024

Differentiable Structure Learning with Partial Orders.

Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Xin Wang, Derui Lyu, Huanhuan Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

A distribution-based representation of Knowledge Quality.

Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Muhammad Usman, Tianhao Wu, Qiuju Chen, Huanhuan Chen

Knowl. Based Syst., December, 2023

Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning.

Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Accurate Label Refinement From Multiannotator of Remote Sensing Data.

Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yifeng Guan, Xingyu Wu, Xiren Zhou, Huanhuan Chen

IEEE Trans. Geosci. Remote. Sens., 2023

Knowledge Extraction From National Standards for Natural Resources: A Method for Multi-Domain Texts.

Taiyu Ban, Xiangyu Wang, Xin Wang, Jiarun Zhu, Lvzhou Chen, Yizhan Fan

J. Database Manag., 2023

Causal Structure Learning Supervised by Large Language Model.

Taiyu Ban, Lyuzhou Chen, Derui Lyu, Xiangyu Wang, Huanhuan Chen

CoRR, 2023

From Query Tools to Causal Architects: Harnessing Large Language Models for Advanced Causal Discovery from Data.

Taiyu Ban, Lyuzhou Chen, Xiangyu Wang, Huanhuan Chen

CoRR, 2023

Mitigating Prior Errors in Causal Structure Learning: Towards LLM driven Prior Knowledge.

Lyuzhou Chen, Taiyu Ban, Xiangyu Wang, Derui Lyu, Huanhuan Chen

CoRR, 2023

2022

Dynamic Link Prediction for Discovery of New Impactful COVID-19 Research Approaches.

Xiangyu Wang, Yuan Li, Taiyu Ban, Jiarun Zhu, Lyuzhou Chen, Muhammad Usman, Xin Wang, Huanhuan Chen, Xiaomei Chen, Cyril Leung, Chunyan Miao

IEEE J. Biomed. Health Informatics, 2022