Yuchen Liu
57 papers · 2019–2026 · 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 24 separate collaboration groups - the largest holds only 18% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yuchen Liu?
7 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 Wenrui Dai, Hongkai Xiong, Chenglin Li
10 papers
· 2021–2025
· ECCV, ICCV, CVPR
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METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
ICCV 2025
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models
ECCV 2024
MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models
NeurIPS 2024
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing
ECCV 2024
Adapting Shortcut With Normalizing Flow: An Efficient Tuning Framework for Visual Recognition
CVPR 2023
Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization
CVPR 2023
Towards Unsupervised Domain Generalization for Face Anti-Spoofing
ICCV 2023
SdAE: Self-Distillated Masked Autoencoder
ECCV 2022
Source-Free Domain Adaptation with Contrastive Domain Alignment and Self-Supervised Exploration for Face Anti-Spoofing
ECCV 2022
Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization
ICCV 2021
17 papers whose co-authors appear nowhere else under this name
BiPreManip: Learning Affordance-Based Bimanual Preparatory Manipulation through Anticipatory Collaboration
CVPR 2026
Detecting AI-Generated Content on Social Media with Multi-modal Language Models
ACL 2026
GenProve: Learning to Generate Text with Fine-Grained Provenance
ACL 2026
M3-VQA: A Benchmark for Multimodal, Multi-Entity, Multi-Hop Visual Question Answering
ACL 2026
Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
WACV 2026
State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation
AAAI 2026
S²HyRec: Self-Supervised Hypergraph Sequential Recommendation
AAAI 2026
Rethinking Repetition Problems of LLMs in Code Generation
ACL 2025
F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
NeurIPS 2024
FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
NeurIPS 2024
Large Language Models Provide Human-Level Medical Text Snippet Labeling
NAACL 2024
NovelTrans: System for WMT24 Discourse-Level Literary Translation
EMNLP 2024
BSTT: A Bayesian Spatial-Temporal Transformer for Sleep Staging
ICLR 2023
Gentopia.AI: A Collaborative Platform for Tool-Augmented LLMs
EMNLP 2023
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
AAAI 2023
CCATMos: Convolutional Context-aware Transformer Network for Non-intrusive Speech Quality Assessment
Interspeech 2022
Preventing sensitive-word recognition using self-supervised learning to preserve user-privacy for automatic speech recognition
Interspeech 2022