Shi, Jieming

11 publications

ICLR 2026 FACT: Fine-Grained Across-Variable Convolution for Multivariate Time Series Forecasting Huiqiang Wang, Jieming Shi, Li Qing

ICLR 2026 Prior-Free Tabular Test-Time Adaptation Rundong He, Jieming Shi

ICLR 2026 Token-Efficient Long-Term Interest Sketching and Internalized Reasoning for LLM-Based Recommendation Zhihao Ding, Jinming Li, Shuai Mu, Jieming Shi

AAAI 2025 GraSP: Simple yet Effective Graph Similarity Predictions Haoran Zheng, Jieming Shi, Renchi Yang

AAAI 2025 RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction Zhihao Ding, Ting Zhang, Yiran Li, Jieming Shi, Chen Jason Zhang

NeurIPS 2025 SteerConf: Steering LLMs for Confidence Elicitation Ziang Zhou, Tianyuan Jin, Jieming Shi, Li Qing

ICML 2025 TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation Ziang Zhou, Zhihao Ding, Jieming Shi, Li Qing, Shiqi Shen

NeurIPS 2023 LD2: Scalable Heterophilous Graph Neural Network with Decoupled Embeddings Ningyi Liao, Siqiang Luo, Xiang Li, Jieming Shi

ICML 2023 SlotGAT: Slot-Based Message Passing for Heterogeneous Graphs Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li

ICML 2021 MOTS: Minimax Optimal Thompson Sampling Tianyuan Jin, Pan Xu, Jieming Shi, Xiaokui Xiao, Quanquan Gu

NeurIPS 2019 Efficient Pure Exploration in Adaptive Round Model Tianyuan Jin, Jieming Shi, Xiaokui Xiao, Enhong Chen