Wang, Mingzhong

10 publications

AAAI 2024 Improving GNN Calibration with Discriminative Ability: Insights and Strategies Yujie Fang, Xin Li, Qianyu Chen, Mingzhong Wang

AAAI 2024 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components Min Wang, Xin Li, Leiji Zhang, Mingzhong Wang

AAAI 2023 Context-Aware Safe Medication Recommendations with Molecular Graph and DDI Graph Embedding Qianyu Chen, Xin Li, Kunnan Geng, Mingzhong Wang

AAAI 2023 WaveForM: Graph Enhanced Wavelet Learning for Long Sequence Forecasting of Multivariate Time Series Fuhao Yang, Xin Li, Min Wang, Hongyu Zang, Wei Pang, Mingzhong Wang

AAAI 2022 SimSR: Simple Distance-Based State Representations for Deep Reinforcement Learning Hongyu Zang, Xin Li, Mingzhong Wang

ECML-PKDD 2021 Off-Policy Differentiable Logic Reinforcement Learning Li Zhang, Xin Li, Mingzhong Wang, Andong Tian

AAAI 2020 Universal Value Iteration Networks: When Spatially-Invariant Is Not Universal Li Zhang, Xin Li, Sen Chen, Hongyu Zang, Jie Huang, Mingzhong Wang

IJCAI 2019 A Vectorized Relational Graph Convolutional Network for Multi-Relational Network Alignment Rui Ye, Xin Li, Yujie Fang, Hongyu Zang, Mingzhong Wang

ECML-PKDD 2018 Inferring Continuous Latent Preference on Transition Intervals for Next Point-of-Interest Recommendation Jing He, Xin Li, Lejian Liao, Mingzhong Wang

IJCAI 2018 Non-Translational Alignment for Multi-Relational Networks Shengnan Li, Xin Li, Rui Ye, Mingzhong Wang, Haiping Su, Yingzi Ou