Ximing Li

39 papers · 2016–2026 · 10 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (9)

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🗺️ Taxonomy Completionist (58) 🤝 Dynamic Duo (15) 🏆 Grand Slam 🏆 Keyword Champion 💎 Century Club (35) 🚀 Conference Pioneer ⚡ Prolific Year (8) 🗃️ Keyword Collector (139) 🔥 Unstoppable (8)

Conferences

AAAI (14) IJCAI (11) COLING (3) ICML (3) ACL (2) ICLR (2) CVPR (1) EMNLP (1) IJCNLP (1) NIPS (1)

Top co-authors

Jihong Ouyang (15) Changchun Li (14) Renchu Guan (8) Bing Wang (6) Jinjin Chi (5) Xiaoyue Feng (4) Fausto Giunchiglia (4) Yuanchao Dai (4) Zhiyao Yang (3) Yiming Wang (3)

Keywords

contrastive learning (4) data augmentation (4) graph neural network (4) topic modeling (3) semi-supervised learning (3) word embedding (3) weakly supervised learning (3) variational inference (3) topic model (2) knowledge graph (2) wasserstein barycenter (2) text classification (2) multi-label classification (2) commonsense reasoning (2) self-supervised learning (2) label noise (2) probabilistic modeling (2) optimal transport (2) multimodal learning (2) weakly-supervised learning (2)

Papers

Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples AAAI 2026 Denoising Mixup for Regression AAAI 2026 Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective AAAI 2026 SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction AAAI 2026 Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025 Utterance-level Emotion Recognition in Conversation with Conversation-level Supervision AAAI 2025 A Simple Graph Contrastive Learning Framework for Short Text Classification AAAI 2025 Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification ICML 2025 Forming Auxiliary High-confident Instance-level Loss to Promote Learning from Label Proportions CVPR 2025 Robust Misinformation Detection by Visiting Potential Commonsense Conflict IJCAI 2025 Semi-supervised Multi-label Learning with Balanced Binary Angular Margin Loss NIPS 2024 Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations AAAI 2024 Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning AAAI 2024 Positive and Unlabeled Learning with Controlled Probability Boundary Fence ICML 2024 WPML3CP: Wasserstein Partial Multi-Label Learning with Dual Label Correlation Perspectives IJCAI 2024 Resolving Word Vagueness with Scenario-guided Adapter for Natural Language Inference IJCAI 2024 Alleviating Imbalanced Pseudo-label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-specific Confidence IJCAI 2024 Nukplex: An Efficient Local Search Algorithm for Maximum K-Plex Problem IJCAI 2024 Local and Global: Temporal Question Answering via Information Fusion IJCAI 2023 Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms ICLR 2023 Weakly Supervised Regression with Interval Targets ICML 2023 Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction ACL 2023 Learning with Partial Labels from Semi-supervised Perspective AAAI 2023 TC-DWA:Text Clustering with Dual Word-Level Augmentation AAAI 2023 Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023 Who Is Your Right Mixup Partner in Positive and Unlabeled Learning ICLR 2022 Weakly-supervised Text Classification with Wasserstein Barycenters Regularization IJCAI 2022 A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis COLING 2022 Semi-Supervised Text Classification with Balanced Deep Representation Distributions IJCNLP 2021 Semi-Supervised Text Classification with Balanced Deep Representation Distributions ACL 2021 Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts EMNLP 2021 Layer-Assisted Neural Topic Modeling over Document Networks IJCAI 2021 Recovering Accurate Labeling Information from Partially Valid Data for Effective Multi-Label Learning IJCAI 2020 Reduction and Local Search for Weighted Graph Coloring Problem AAAI 2020 Approximate Optimal Transport for Continuous Densities with Copulas IJCAI 2019 Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts AAAI 2019 A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words COLING 2018 Variance Reduction in Black-box Variational Inference by Adaptive Importance Sampling IJCAI 2018 Integrating Topic Modeling with Word Embeddings by Mixtures of vMFs COLING 2016