Shi, Bin

14 publications

MLJ 2025 ALM-PU: Positive and Unlabeled Learning with Constrained Optimization Jiazhe Wei, Yuefei Wu, Bin Shi, Ken Li, Bo Dong

AAAI 2025 Out-of-Distribution Generalization on Graphs via Progressive Inference Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen

ICML 2025 Quantum Optimization via Gradient-Based Hamiltonian Descent Jiaqi Leng, Bin Shi

AAAI 2025 Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen

AAAI 2025 VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong

CVPR 2024 Estimating Noisy Class Posterior with Part-Level Labels for Noisy Label Learning Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong

MLJ 2024 Libsignal: An Open Library for Traffic Signal Control Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi, Hua Wei

JMLR 2024 On the Hyperparameters in Stochastic Gradient Descent with Momentum Bin Shi

AAAI 2024 RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng

AAAI 2024 The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei

IJCAI 2023 NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng

JMLR 2023 On Learning Rates and Schrödinger Operators Bin Shi, Weijie Su, Michael I. Jordan

IJCAI 2023 Reinforcement Learning Approaches for Traffic Signal Control Under Missing Data Hao Mei, Junxian Li, Bin Shi, Hua Wei

NeurIPS 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations Bin Shi, Simon S Du, Weijie Su, Michael I Jordan