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Ning Xu

71 papers · 2016–2026 · 13 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 14 separate collaboration groups - the largest holds only 39% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Ning Xu?

6 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Xin Geng, Jiaqi Lv, Congyu Qiao 28 papers · 2018–2025 · ICML, IJCAI, NeurIPS Hide ▲
Progressively Label Enhancement for Large Language Model Alignment ICML 2025 Selective Label Enhancement Learning for Test-Time Adaptation ICLR 2025 VADIS: Investigating Inter-View Representation Biases for Multi-View Partial Multi-Label Learning UAI 2025 Aligned Objective for Soft-Pseudo-Label Generation in Supervised Learning ICML 2024 Correlation-Induced Label Prior for Semi-Supervised Multi-Label Learning ICML 2024 Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency ICML 2024 ULAREF: A Unified Label Refinement Framework for Learning with Inaccurate Supervision ICML 2024 What Makes Partial-Label Learning Algorithms Effective? NeurIPS 2024 Decompositional Generation Process for Instance-Dependent Partial Label Learning ICLR 2023 FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning ICML 2023 Imbalanced Label Distribution Learning AAAI 2023 Learning From Biased Soft Labels NeurIPS 2023 Progressive Purification for Instance-Dependent Partial Label Learning ICML 2023 Revisiting Pseudo-Label for Single-Positive Multi-Label Learning ICML 2023 Towards Effective Visual Representations for Partial-Label Learning CVPR 2023 Unreliable Partial Label Learning with Recursive Separation IJCAI 2023 Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning IJCAI 2022 Fusion Label Enhancement for Multi-Label Learning IJCAI 2022 Learngene: From Open-World to Your Learning Task AAAI 2022 One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement NeurIPS 2022 Instance-Dependent Partial Label Learning NeurIPS 2021 Video Summarization via Label Distributions Dual-Reward IJCAI 2021 Label Distribution for Learning with Noisy Labels IJCAI 2020 Partial Multi-Label Learning with Label Distribution AAAI 2020 Variational Label Enhancement ICML 2020 Partial Label Learning via Label Enhancement AAAI 2019 Weakly Supervised Multi-Label Learning via Label Enhancement IJCAI 2019 Label Enhancement for Label Distribution Learning IJCAI 2018
8 papers whose co-authors appear nowhere else under this name
LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation AAAI 2026 Latent-Guided Exemplar-Based Image Re-Colorization WACV 2024 FanoutNet: A Neuralized PCB Fanout Automation Method Using Deep Reinforcement Learning AAAI 2023 TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation WACV 2023 Hierarchical Image Generation via Transformer-Based Sequential Patch Selection AAAI 2022 High-Resolution Deep Image Matting AAAI 2021 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 Minimizing FLOPs to Learn Efficient Sparse Representations ICLR 2020

Venues · all papers under this name

CVPR (13) AAAI (10) ICML (10) ICCV (9) IJCAI (9) NeurIPS (5) ECCV (4) ICLR (4) Interspeech (2) WACV (2) ACL (1) EMNLP (1) UAI (1)