Yue Cao
68 papers · 2015–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 44% 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 Yue Cao?
9 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 Xiaojun Wan, Jinge Yao, Dian Yu
7 papers
· 2020–2021
· EMNLP, ACL, NAACL
Hide ▲
Continual Learning for Neural Machine Translation
NAACL 2021
ParaSCI: A Large Scientific Paraphrase Dataset for Longer Paraphrase Generation
EACL 2021
Revisiting Pivot-Based Paraphrase Generation: Language Is Not the Only Optional Pivot
EMNLP 2021
WIND: Weighting Instances Differentially for Model-Agnostic Domain Adaptation
ACL 2021
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network
EMNLP 2020
Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization
ACL 2020
MultiSumm: Towards a Unified Model for Multi-Lingual Abstractive Summarization
AAAI 2020
7 papers whose co-authors appear nowhere else under this name
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation
AAAI 2026
Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging
AAAI 2026
Will Multimodal Models Be Dazzled by Multi-Image Visual Puzzles?
CVPR 2026
Learning Physics-Based Full-Body Human Reaching and Grasping from Brief Walking References
CVPR 2025
Continual Learners are Incremental Model Generalizers
ICML 2023
Correlation-Aware Deep Tracking
CVPR 2022