Yong Luo
40 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (11)
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Taxonomy Completionist
(12)
π§
Keyword Pioneer
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Cross-Pollinator
(4)
π
Grand Slam
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Triple Crown
π€
Dynamic Duo
(19)
π
Keyword Champion
(2)
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Century Club
(37)
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Trend Setter
β‘
Prolific Year
(13)
ποΈ
Keyword Collector
(156)
π₯
Unstoppable
(5)
Conferences
IJCAI (11)
AAAI (9)
ICML (5)
NIPS (4)
ICLR (3)
ACL (2)
EMNLP (2)
CVPR (1)
ICCV (1)
JMLR (1)
MICCAI (1)
Top co-authors
Research topics
Keywords
federated learning
(4)
transfer learning
(4)
large language model
(3)
multi-modal learning
(3)
non-iid datum
(2)
heterogeneous transfer learning
(2)
domain adaptation
(2)
unsupervised learning
(2)
knowledge distillation
(2)
dependency parsing
(2)
manifold regularization
(2)
benchmark evaluation
(2)
feature alignment
(2)
knowledge transfer
(2)
distance metric learning
(2)
image generation
(2)
reinforcement learning
(2)
multi-task learning
(1)
adversarial learning
(1)
dimensionality reduction
(1)
Papers
Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment
AAAI 2026
SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
AAAI 2026
Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification
AAAI 2026
Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models
AAAI 2025
FIRING-Net: A filtered feature recycling network for speech enhancement
ICLR 2025
MTGA: Multi-View Temporal Granularity Aligned Aggregation for Event-Based Lip-Reading
AAAI 2025
A Dual Stream Visual Tokenizer for LLM Image Generation
IJCAI 2025
Anatomy-Conserving Unpaired CBCT-to-CT Translation via SchrΓΆdinger Bridge
MICCAI 2025
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
ICML 2025
Decision Mixer: Integrating Long-term and Local Dependencies via Dynamic Token Selection for Decision-Making
ICML 2025
ELBA-Bench: An Efficient Learning Backdoor Attacks Benchmark for Large Language Models
ACL 2025
Targeted Low-rank Refinement: Enhancing Sparse Language Models with Precision
ICML 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
JMLR 2025
Open-Vocabulary Fine-Grained Hand Action Detection
IJCAI 2025
Confronting Reward Overoptimization for Diffusion Models: A Perspective of Inductive and Primacy Biases
ICML 2024
MG-Net: Learn to Customize QAOA with Circuit Depth Awareness
NIPS 2024
MMSite: A Multi-modal Framework for the Identification of Active Sites in Proteins
NIPS 2024
Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization
NIPS 2024
Decomposing Semantic Shifts for Composed Image Retrieval
AAAI 2024
Cycle Self-Refinement for Multi-Source Domain Adaptation
AAAI 2024
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models
ACL 2024
Improving Generalized Zero-Shot Learning by Exploring the Diverse Semantics from External Class Names
CVPR 2024
Parameter-Efficient Multi-Task Model Fusion with Partial Linearization
ICLR 2024
Merging Multi-Task Models via Weight-Ensembling Mixture of Experts
ICML 2024
Eliminating the Cross-Domain Misalignment in Text-guided Image Inpainting
IJCAI 2024
Zero-shot Learning for Preclinical Drug Screening
IJCAI 2024
Joint Input and Output Coordination for Class-Incremental Learning
IJCAI 2024
Symmetric Pruning in Quantum Neural Networks
ICLR 2023
Improving Heterogeneous Model Reuse by Density Estimation
IJCAI 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning
AAAI 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation
NIPS 2023
Dependency Parsing via Sequence Generation
EMNLP 2022
Resistance Training Using Prior Bias: Toward Unbiased Scene Graph Generation
AAAI 2022
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment
ICCV 2021
Unsupervised Domain Adaptation Method with Semantic-Structural Alignment for Dependency Parsing
EMNLP 2021
Online Heterogeneous Transfer Metric Learning
IJCAI 2018
Deep Discrete Prototype Multilabel Learning
IJCAI 2018
Exploiting High-Order Information in Heterogeneous Multi-Task Feature Learning
IJCAI 2017
General Heterogeneous Transfer Distance Metric Learning via Knowledge Fragments Transfer
IJCAI 2017
On Combining Side Information and Unlabeled Data for Heterogeneous Multi-Task Metric Learning
IJCAI 2016