Yiding Hua

21 papers A* 5A 1B 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Automated Hyperparameter Tuning for Data-Driven MPC: A Differentiable ADMM Approach for Enhancing Vehicle Stability.
IEEE Trans. Ind. Electron.
Haoqi Hu, Lin Zhang, Yiding Hua, Chunlai Zhao, Wei Pan, Hong Chen
2026 J jnl
Deep Reinforcement Learning-Based Knowledge Graph Reasoning for Autonomous Driving systems.
IEEE Trans. Ind. Informatics
Shichun Yang, Mengyue Zhang, Xinjie Feng, Yiding Hua, Yaoguang Cao
2026 J jnl
Directed Graphs in Reinforcement Learning: A Benchmark for Balancing Efficiency and Fidelity in Autonomous Vehicle Testing.
IEEE Trans. Intell. Transp. Syst.
Qiang Meng, Yiding Hua, Lin Zhang, Fei Li, Hong Chen
2026 J jnl
Precise Model-Based Predictive Motion Control for Electric Vehicles Using Limited Offline Data and Real-Time Online Adaptation.
IEEE Trans. Ind. Electron.
Haoqi Hu, Wei Pan, Lin Zhang, Yiding Hua, Chunlai Zhao, Xiaoyan Liu, Hong Chen
2025 A* conf
Finding Colorings in One-Sided Expanders.
FOCS
Rares-Darius Buhai, Yiding Hua, David Steurer, Andor Vári-Kakas
2025 J jnl
Finding Colorings in One-Sided Expanders.
CoRR
Rares-Darius Buhai, Yiding Hua, David Steurer, Andor Vári-Kakas
2025 J jnl
Improved Robust Estimation for Erdős-Rényi Graphs: The Sparse Regime and Optimal Breakdown Point.
CoRR
Hongjie Chen, Jingqiu Ding, Yiding Hua, Stefan Tiegel
2025 J jnl
Low degree conjecture implies sharp computational thresholds in stochastic block model.
CoRR
Jingqiu Ding, Yiding Hua, Lucas Slot, David Steurer
2025 J jnl
Rate-optimal community detection near the KS threshold via node-robust algorithms.
CoRR
Jingqiu Ding, Yiding Hua, Kasper Lindberg, David Steurer, Aleksandr Storozhenko
2024 A* conf
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust.
NeurIPS
Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024 J jnl
Private Edge Density Estimation for Random Graphs: Optimal, Efficient and Robust.
CoRR
Hongjie Chen, Jingqiu Ding, Yiding Hua, David Steurer
2024 A* conf
Private Graphon Estimation via Sum-of-Squares.
STOC
Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2024 J jnl
Private graphon estimation via sum-of-squares.
CoRR
Hongjie Chen, Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, Chih-Hung Liu, David Steurer
2023 A* conf
Maintaining Expander Decompositions via Sparse Cuts.
SODA
Yiding Hua, Rasmus Kyng, Maximilian Probst Gutenberg, Zihang Wu
2023 A* conf
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions.
COLT
Yiding Hua, Jingqiu Ding, Tommaso d'Orsi, David Steurer
2023 J jnl
Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions.
CoRR
Jingqiu Ding, Tommaso d'Orsi, Yiding Hua, David Steurer
2023 B conf
SQ Lower Bounds for Random Sparse Planted Vector Problem.
ALT
Jingqiu Ding, Yiding Hua
2023 J jnl
SQ Lower Bounds for Random Sparse Planted Vector Problem.
CoRR
Jingqiu Ding, Yiding Hua
2023 A conf
Smart Redbelly Blockchain: Reducing Congestion for Web3.
IPDPS
Deepal Tennakoon, Yiding Hua, Vincent Gramoli
2022 J jnl
CollaChain: A BFT Collaborative Middleware for Decentralized Applications.
CoRR
Deepal Tennakoon, Yiding Hua, Vincent Gramoli
2022 J jnl
Maintaining Expander Decompositions via Sparse Cuts.
CoRR
Yiding Hua, Rasmus Kyng, Maximilian Probst Gutenberg, Zihang Wu