Rui Liu
65 papers · 2017–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 25 separate collaboration groups - the largest holds only 22% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Rui Liu?
10 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 Zheng Lin, Weiping Wang, Yanan Cao
7 papers
· 2019–2026
· EMNLP, AAAI, NAACL
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MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization
AAAI 2026
Dual-Path Counterfactual Integration for Multimodal Aspect-Based Sentiment Classification
EMNLP 2025
Aspect Is Not You Need: No-aspect Differential Sentiment Framework for Aspect-based Sentiment Analysis
NAACL 2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
IJCAI 2022
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection
COLING 2022
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph
ACL 2021
Ranking and Sampling in Open-Domain Question Answering
EMNLP 2019
15 papers whose co-authors appear nowhere else under this name
AdvFM: Lookahead Flow-Matching Velocity-Field Attacks for Imperceptible and Transferable Adversarial Examples
CVPR 2026
MMAC: A Multilingual, Multimodal Alignment Framework for Cultural Grounding Evaluation
ACL 2026
MS^2Gait: A Multi-Scale Spatio-Temporal Fusion Network for LiDAR-based Gait Recognition
CVPR 2026
PaQ-DETR: Learning Pattern and Quality-Aware Dynamic Queries for Object Detection
CVPR 2026
Stable and Efficient Single-Rollout RL for Multimodal Reasoning
CVPR 2026
RoboAnnotatorX: A Comprehensive and Universal Annotation Framework for Accurate Understanding of Long-horizon Robot Demonstration
ICCV 2025
Emotion-Aware Speech Self-Supervised Representation Learning with Intensity Knowledge
Interspeech 2024
Infrared Small Target Detection with Scale and Location Sensitivity
CVPR 2024
Gating Dropout: Communication-efficient Regularization for Sparsely Activated Transformers
ICML 2022
HiABP: Hierarchical Initialized ABP for Unsupervised Representation Learning
AAAI 2021
SSMF: Shifting Seasonal Matrix Factorization
NeurIPS 2021
Temporal Difference Learning as Gradient Splitting
ICML 2021
VEST: A System for Vulnerability Exploit Scoring & Timing
IJCAI 2019
Discrete Factorization Machines for Fast Feature-based Recommendation
IJCAI 2018
Structural Embedding of Syntactic Trees for Machine Comprehension
EMNLP 2017