Mingzhong Wang

Computer Science · Physical Sciences

18h-index1.4kcitations102works0.72yr avg
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Research Topics

Reinforcement Learning in Robotics(9), Advanced Graph Neural Networks(8), Cloud Computing and Resource Management(7), Multi-Agent Systems and Negotiation(6), Software-Defined Networks and 5G(6)

Publications102 total

Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
ArXiv.org·2026Open Access
Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization
arXiv (Cornell University)·2026Open Access
A Simulated Study of IoT ALPs Over Legacy TCP/UDP Versus QUIC and SCTP for V2I Communications
IEEE Transactions on Intelligent Transportation Systems·2025
Consensus on the Internet of Vehicles: A Systematic Literature Review
World Electric Vehicle Journal·2025· 1 citedOpen Access
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
arXiv (Cornell University)·2025Open Access
Intra-grid location estimation of smartphone videos using ENF extraction and an improved super-pixel technique
Scientific Reports·2025· 1 citedOpen Access
Robust Deep Signed Graph Clustering via Weak Balance Theory
2025Open Access
Advancing Confidence Calibration and Quantification in Medication Recommendation
2025
Sharpening deep graph clustering via diverse bellwethers
Knowledge-Based Systems·2025
Multi Perspective Considerations for Health Smart Home: Early Phase Exploratory Study
Journal of Advanced Nursing·2025· 3 citedOpen Access
Author response for "Multi Perspective Considerations for Health Smart Home: Early Phase Exploratory Study"
2025
Author response for "Multi Perspective Considerations for Health Smart Home: Early Phase Exploratory Study"
2025· 1 cited
Waveframe(R): A Wavelet Enhanced Framework for Multivariate Time Series Forecasting
SSRN Electronic Journal·2025Open Access
Analysis of the Impact of Light Sources on the Capturing and Extraction of ENF from Video Recordings
2024· 2 cited
Gradient Recalibration for Improved Visibility of Tail Classes in Supervised Contrastive Learning
2024
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 3 citedOpen Access
Design of a shared context-aware assistive robot for personalised aged-care services
Digital Medicine·2024Open Access
Towards Control-Centric Representations in Reinforcement Learning from Images
arXiv (Cornell University)·2023Open Access
Good Better Best: Self-Motivated Imitation Learning for noisy Demonstrations
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Liehuang Zhu(13), Xin Li(11), Hongyu Zang(6), Kotagiri Ramamohanarao(5), Jinjun Chen(5), Lejian Liao(4), Meng Shen(3), Rui Ye(3), Zijian Zhang(3), Chang Liu(2), Yu‐an Tan(2), Mingwei Wei(2), Yujie Fang(2), Dongcheng Han(2), Jing He(2), Huiting Hong(2), Ericmoore Ngharamike(2), Li-Minn Ang(2), Kah Phooi Seng(2), Jianmin Yuan(2)