Guan, Renchu

11 publications

AAAI 2025 A Simple Graph Contrastive Learning Framework for Short Text Classification Yonghao Liu, Fausto Giunchiglia, Lan Huang, Ximing Li, Xiaoyue Feng, Renchu Guan
NeurIPS 2025 Balancing Positive and Negative Classification Error Rates in Positive-Unlabeled Learning Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Jianfeng Qu, Renchu Guan
AAAI 2025 Boosting Short Text Classification with Multi-Source Information Exploration and Dual-Level Contrastive Learning Yonghao Liu, Mengyu Li, Wei Pang, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
NeurIPS 2025 Graph Few-Shot Learning via Adaptive Spectrum Experts and Cross-Set Distribution Calibration Yonghao Liu, Yajun Wang, Chunli Guo, Wei Pang, Ximing Li, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
IJCAI 2025 Robust Misinformation Detection by Visiting Potential Commonsense Conflict Bing Wang, Ximing Li, Changchun Li, Bingrui Zhao, Bo Fu, Renchu Guan, Shengsheng Wang
AAAI 2024 Improved Graph Contrastive Learning for Short Text Classification Yonghao Liu, Lan Huang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
NeurIPS 2024 Instance-Adaptive Zero-Shot Chain-of-Thought Prompting Xiaosong Yuan, Chen Shen, Shaotian Yan, Xiaofeng Zhang, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye
IJCAI 2024 Resolving Word Vagueness with Scenario-Guided Adapter for Natural Language Inference Yonghao Liu, Mengyu Li, Di Liang, Ximing Li, Fausto Giunchiglia, Lan Huang, Xiaoyue Feng, Renchu Guan
IJCAI 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives Ximing Li, Yuanchao Dai, Bing Wang, Changchun Li, Renchu Guan, Fangming Gu, Jihong Ouyang
IJCAI 2023 Local and Global: Temporal Question Answering via Information Fusion Yonghao Liu, Di Liang, Mengyu Li, Fausto Giunchiglia, Ximing Li, Sirui Wang, Wei Wu, Lan Huang, Xiaoyue Feng, Renchu Guan
AAAI 2023 Variational Wasserstein Barycenters with C-Cyclical Monotonicity Regularization Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan