Li, Ximing

32 publications

NeurIPS 2025 A Closer Look to Positive-Unlabeled Learning from Fine-Grained Perspectives: An Empirical Study Yuanchao Dai, Zhengzhang Hou, Changchun Li, Yuanbo Xu, En Wang, Ximing Li

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

ICML 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification Yuanchao Dai, Ximing Li, Changchun Li

CVPR 2025 Forming Auxiliary High-Confident Instance-Level Loss to Promote Learning from Label Proportions Tianhao Ma, Han Chen, Juncheng Hu, Yungang Zhu, Ximing Li

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

AAAI 2025 Learning Causal Transition Matrix for Instance-Dependent Label Noise Jiahui Li, Tai-Wei Chang, Kun Kuang, Ximing Li, Long Chen, Jun Zhou

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 2025 Utterance-Level Emotion Recognition in Conversation with Conversation-Level Supervision Ximing Li, Yuanchao Dai, Zhiyao Yang, Jinjin Chi, Wanfu Gao, Lin Yuanbo Wu

IJCAI 2024 Alleviating Imbalanced Pseudo-Label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-Specific Confidence Shuai Lü, Meng Kang, Ximing Li

AAAI 2024 Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations Jihong Ouyang, Zhiyao Yang, Silong Liang, Bing Wang, Yimeng Wang, Ximing Li

AAAI 2024 Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning Jiaan Wang, Jianfeng Qu, Kexin Wang, Zhixu Li, Wen Hua, Ximing Li, An Liu

IJCAI 2024 Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem Rui Sun, Yiyuan Wang, Shimao Wang, Hui Li, Ximing Li, Minghao Yin

ICML 2024 Positive and Unlabeled Learning with Controlled Probability Boundary Fence Changchun Li, Yuanchao Dai, Lei Feng, Ximing Li, Bing Wang, Jihong Ouyang

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

NeurIPS 2024 Semi-Supervised Multi-Label Learning with Balanced Binary Angular Margin Loss Ximing Li, Silong Liang, Changchun Li, Pengfei Wang, Fangming Gu

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

AAAI 2023 Learning with Partial Labels from Semi-Supervised Perspective Ximing Li, Yuanzhi Jiang, Changchun Li, Yiyuan Wang, 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

ICLR 2023 Statistical Theory of Differentially Private Marginal-Based Data Synthesis Algorithms Ximing Li, Chendi Wang, Guang Cheng

AAAI 2023 TC-DWA: Text Clustering with Dual Word-Level Augmentation Bo Cheng, Ximing Li, Yi Chang

AAAI 2023 Variational Wasserstein Barycenters with C-Cyclical Monotonicity Regularization Jinjin Chi, Zhiyao Yang, Ximing Li, Jihong Ouyang, Renchu Guan

ICML 2023 Weakly Supervised Regression with Interval Targets Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng

IJCAI 2022 Weakly-Supervised Text Classification with Wasserstein Barycenters Regularization Jihong Ouyang, Yiming Wang, Ximing Li, Changchun Li

ICLR 2022 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning Changchun Li, Ximing Li, Lei Feng, Jihong Ouyang

IJCAI 2021 Layer-Assisted Neural Topic Modeling over Document Networks Yiming Wang, Ximing Li, Jihong Ouyang

MLJ 2021 Topic Extraction from Extremely Short Texts with Variational Manifold Regularization Ximing Li, Yang Wang, Jihong Ouyang, Meng Wang

IJCAI 2020 Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning Ximing Li, Yang Wang

AAAI 2020 Reduction and Local Search for Weighted Graph Coloring Problem Yiyuan Wang, Shaowei Cai, Shiwei Pan, Ximing Li, Minghao Yin

IJCAI 2019 Approximate Optimal Transport for Continuous Densities with Copulas Jinjin Chi, Jihong Ouyang, Ximing Li, Yang Wang, Meng Wang

AAAI 2019 Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts Ximing Li, Jiaojiao Zhang, Jihong Ouyang

IJCAI 2018 Variance Reduction in Black-Box Variational Inference by Adaptive Importance Sampling Ximing Li, Changchun Li, Jinjin Chi, Jihong Ouyang