Zihan Yu

44 papers A* 3A 2C 1Journal 32Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Discovering network dynamics with neural symbolic regression.
Nat. Comput. Sci.
Zihan Yu, Jingtao Ding, Yong Li
2026 J jnl
Multi-view consensus graph subspace clustering via embedding spatial information of features.
Inf. Sci.
Mingguang Shao, Zihan Yu, Jian Wang, Kai Zhang, Sergey Ablameyko
2026 J jnl
Non-Intrusive Graph-Based Bot Detection for E-Commerce Using Inductive Graph Neural Networks.
CoRR
Sichen Zhao, Zhiming Xue, Yalun Qi, Xianling Zeng, Zihan Yu
2026 J jnl
Resilient Routing: Risk-Aware Dynamic Routing in Smart Logistics via Spatiotemporal Graph Learning.
CoRR
Zhiming Xue, Sichen Zhao, Yalun Qi, Xianling Zeng, Zihan Yu
2025 J jnl
A Wasserstein Distance-Based Distributionally Robust Optimization Strategy for a Renewable Energy Power Grid Considering Meteorological Uncertainty.
Symmetry
Yao Liu, Lei Luo, Xiaoteng Li, Haolu Liu, Zihan Yu, Yu Wang
2025 J jnl
Beyond Equilibrium: Non-Equilibrium Foundations Should Underpin Generative Processes in Complex Dynamical Systems.
CoRR
Jiazhen Liu, Ruikun Li, Huandong Wang, Zihan Yu, Chang Liu, Jingtao Ding, Yong Li
2025 J jnl
Beyond Formula Complexity: Effective Information Criterion Improves Performance and Interpretability for Symbolic Regression.
CoRR
Zihan Yu, Guanren Wang, Jingtao Ding, Huandong Wang, Yong Li
2025 J jnl
BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation.
CoRR
Haiquan Wen, Yiwei He, Zhenglin Huang, Tianxiao Li, Zihan Yu, Xingru Huang, Lu Qi, Baoyuan Wu, Xiangtai Li, Guangliang Cheng
2025 — conf
DRFormer: Dynamic Replay-Driven Transformer for Domain-Incremental Learning in Brain Tumor Segmentation.
ICIC (10)
Wanglong Mao, Zihan Yu, Yi Zhou
2025 J jnl
Interpretable inverse iteration mean shift networks for clustering tasks.
Neural Networks
Bingjie Zhang, Zihan Yu, Jian Wang, Maciej Zelaszczyk, Yaqian Zhang, Jacek Mandziuk, Chao Zhang, Witold Pedrycz
2025 — conf
Iterative Learning-Based Arbitration in Shared Vehicle Control: Methodological Formulation and Driver-in-the-Loop Results.
CCTA
Zihan Yu, Aleksandra Dudek, Patrick Linford, Ian Holbrook, Scott James, Matthew P. Castanier, Kira Barton, Chris Vermillion
2025 J jnl
MUH: Maximum-uncertainty-heuristic method of modeling belief function.
Comput. Ind. Eng.
Zihan Yu, Zhen Li, Guohui Zhou, Yong Deng
2025 J jnl
On the Fiat-Shamir Security of Succinct Arguments from Functional Commitments.
IACR Cryptol. ePrint Arch.
Alessandro Chiesa, Ziyi Guan, Christian Knabenhans, Zihan Yu
2025 J jnl
Robust Derivative Estimation with Walk on Stars.
ACM Trans. Graph.
Zihan Yu, Rohan Sawhney, Bailey Miller, Lifan Wu, Shuang Zhao
2025 A* conf
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning.
ICLR
Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen
2025 J jnl
Sequential Stochastic Combinatorial Optimization Using Hierarchal Reinforcement Learning.
CoRR
Xinsong Feng, Zihan Yu, Yanhai Xiong, Haipeng Chen
2025 A* conf
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length.
ICLR
Zihan Yu, Jingtao Ding, Yong Li, Depeng Jin
2024 — conf
A Differential Monte Carlo Solver For the Poisson Equation.
SIGGRAPH (Conference Paper Track)
Zihan Yu, Lifan Wu, Zhiqian Zhou, Shuang Zhao
2024 J jnl
A Lightweight Image Super-Resolution Reconstruction Algorithm Based on the Residual Feature Distillation Mechanism.
Sensors
Zihan Yu, Kai Xie, Chang Wen, Jianbiao He, Wei Zhang
2024 J jnl
A Mood Semantic Awareness Model for Emotional Interactive Robots.
Sensors
Tiehua Zhou, Zihan Yu, Ling Wang, Keun Ho Ryu
2024 J jnl
Artificial Intelligence for Complex Network: Potential, Methodology and Application.
CoRR
Jingtao Ding, Chang Liu, Yu Zheng, Yunke Zhang, Zihan Yu, Ruikun Li, Hongyi Chen, Jinghua Piao, Huandong Wang, Jiazhen Liu, Yong Li
2024 J jnl
Detecting Novel Malware Classes with a Foundational Multi-Modality Data Analysis Model.
Data Intell.
Xin Dai, Zihan Yu, Chenglin Liang, Cuiying Gao, Qidan He, Dan Wu, Zichen Xu
2024 J jnl
Exploring Foundation Models in Remote Sensing Image Change Detection: A Comprehensive Survey.
CoRR
Zihan Yu, Tianxiao Li, Yuxin Zhu, Rongze Pan
2024 J jnl
Human Behavior Simulation: Objectives, Methodologies, and Open Problems.
CoRR
Guozhen Zhang, Zihan Yu, Nian Li, Fudan Yu, Qingyue Long, Depeng Jin, Yong Li
2024 J jnl
LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving.
IEEE Trans. Intell. Veh.
Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang
2024 A conf
Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation.
IROS
Zihan Yu, Yuqing Tang
2024 J jnl
Neural Trajectory Model: Implicit Neural Trajectory Representation for Trajectories Generation.
CoRR
Zihan Yu, Yuqing Tang
2024 J jnl
Risk-Aware Net: An Explicit Collision-Constrained Framework for Enhanced Safety Autonomous Driving.
IEEE Robotics Autom. Lett.
Zihan Yu, Meixin Zhu, Xiaowen Chu
2024 J jnl
Stochastic Parrots or ICU Experts? Large Language Models in Critical Care Medicine: A Scoping Review.
CoRR
Tongyue Shi, Jun Ma, Zihan Yu, Haowei Xu, Minqi Xiong, Meirong Xiao, Yilin Li, Huiying Zhao, Guilan Kong
2024 J jnl
Symbolic regression via MDLformer-guided search: from minimizing prediction error to minimizing description length.
CoRR
Zihan Yu, Jingtao Ding, Yong Li
2023 J jnl
Efficient Path-Space Differentiable Volume Rendering With Respect To Shapes.
Comput. Graph. Forum
Zihan Yu, C. Zhang, Olivier Maury, Christophe Hery, Zhekang Dong, S. Zhao
2023 — conf
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.
ITSC
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
2023 J jnl
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.
CoRR
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
2023 — conf
Semantic Deep Mining Method for Recommendation Based on Small-World Graphs.
HP3C
Ling Wang, Zihan Yu, Yu Lu, Tie Hua Zhou
2023 J jnl
Towards Better Chain-of-Thought Prompting Strategies: A Survey.
CoRR
Zihan Yu, Liang He, Zhen Wu, Xinyu Dai, Jiajun Chen
2023 A conf
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation.
CIKM
Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin
2022 J jnl
Efficient Differentiation of Pixel Reconstruction Filters for Path-Space Differentiable Rendering.
ACM Trans. Graph.
Zihan Yu, Cheng Zhang, Derek Nowrouzezahrai, Zhao Dong, Shuang Zhao
2022 A* conf
Physics-infused Machine Learning for Crowd Simulation.
KDD
Guozhen Zhang, Zihan Yu, Depeng Jin, Yong Li
2022 C conf
VulMiningBGS: Detection of overflow vulnerabilities based on graph similarity.
CIS
Zihan Yu, Jintao Xue, Xin Sun, Wen Wang, Yubo Song, Liquan Chen, Zhongyuan Qin
2021 J jnl
NPQ-RRT ∗ : An Improved RRT ∗ Approach to Hybrid Path Planning.
Complex.
Zihan Yu, Linying Xiang
2021 J jnl
Path-space differentiable rendering of participating media.
ACM Trans. Graph.
Cheng Zhang, Zihan Yu, Shuang Zhao
2019 — conf
Improvement of Pose Recognition by Sparse Regularized Convolutional Neural Network.
RCAR
Yuan Zhang, Xiao Yao, Zhongli Wang, Hao Su, Zihan Yu, Guanying Huo, Ning Xu, Xiaofeng Liu
2014 J jnl
Hue-Preserving Unsharp-Masking for Color Image Enhancement.
IEICE Trans. Inf. Syst.
Zihan Yu, Kiichi Urahama
2014 J jnl
Iterative Method for Inverse Nonlinear Image Processing.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci.
Zihan Yu, Kiichi Urahama