Yiding Hua

According to our database, Yiding Hua authored at least 17 papers between 2022 and 2026.

Collaborative distances:

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

2026

Directed Graphs in Reinforcement Learning: A Benchmark for Balancing Efficiency and Fidelity in Autonomous Vehicle Testing.

Qiang Meng, Yiding Hua, Lin Zhang, Fei Li, Hong Chen

IEEE Trans. Intell. Transp. Syst., April, 2026

Deep Reinforcement Learning-Based Knowledge Graph Reasoning for Autonomous Driving systems.

Shichun Yang, Mengyue Zhang, Xinjie Feng, Yiding Hua, Yaoguang Cao

IEEE Trans. Ind. Informatics, April, 2026

Precise Model-Based Predictive Motion Control for Electric Vehicles Using Limited Offline Data and Real-Time Online Adaptation.

Haoqi Hu, Wei Pan, Lin Zhang, Yiding Hua, Chunlai Zhao, Xiaoyan Liu, Hong Chen

IEEE Trans. Ind. Electron., April, 2026

Automated Hyperparameter Tuning for Data-Driven MPC: A Differentiable ADMM Approach for Enhancing Vehicle Stability.

Haoqi Hu, Lin Zhang, Yiding Hua, Chunlai Zhao, Wei Pan, Hong Chen

IEEE Trans. Ind. Electron., January, 2026

2025

Rate-optimal community detection near the KS threshold via node-robust algorithms.

Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko

CoRR, November, 2025

Low degree conjecture implies sharp computational thresholds in stochastic block model.

Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer

CoRR, February, 2025

Simulation Testing of Autonomous Driving Systems Based on Safety-Critical Scenario Generation.

Guangdong You, Shuncheng Tang, Jixiang Zhou, Jingjing Hao, Yiding Hua, Yanxin Nie, Yinxing Xue

Proceedings of the Engineering Trustworthy Software Systems - 7th International School, 2025

Low-degree evidence for computational transition of recovery rate in stochastic block model.

Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer

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

Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point.

Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel

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

Finding Colorings in One-Sided Expanders.

Rares-Darius Buhai, Yiding Hua, David Steurer, Andor Vári-Kakas

Proceedings of the 66th IEEE Annual Symposium on Foundations of Computer Science, 2025

2024

Private Graphon Estimation via Sum-of-Squares.

Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust.

Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer

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

2023

Maintaining Expander Decompositions via Sparse Cuts.

Yiding Hua, Rasmus Kyng, Maximilian Probst Gutenberg, Zihang Wu

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Smart Redbelly Blockchain: Reducing Congestion for Web3.

Deepal Tennakoon, Yiding Hua, Vincent Gramoli

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions.

Yiding Hua, Jingqiu Ding, Tommaso d'Orsi, David Steurer

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

SQ Lower Bounds for Random Sparse Planted Vector Problem.

Jingqiu Ding, Yiding Hua

Proceedings of the International Conference on Algorithmic Learning Theory, 2023

2022

CollaChain: A BFT Collaborative Middleware for Decentralized Applications.

Deepal Tennakoon, Yiding Hua, Vincent Gramoli

CoRR, 2022