Bin Luo
30 papers · 2016–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (9) π Interdisciplinary Bridge π Conference Polyglot (12) π§ Keyword Pioneer π Cross-Pollinator (12)
π
Cross-Pollinator
(12)
π
Renaissance Researcher
(10)
πΊοΈ
Taxonomy Completionist
(73)
π
Grand Slam
π₯
Mega-Team
(32)
π₯
Unstoppable
(10)
π
Trend Setter
π
Century Club
(28)
ποΈ
Keyword Collector
(162)
β‘
Prolific Year
(5)
π
Conference Pioneer
Conferences
CVPR (7)
AAAI (5)
EMNLP (4)
IJCAI (4)
ACL (2)
ACML (2)
ICCV (1)
ICLR (1)
ICML (1)
NIPS (1)
NSDI (1)
WACV (1)
Top co-authors
Keywords
deep learning
(2)
graph matching
(2)
large language model
(2)
software engineering
(2)
combinatorial optimization
(2)
object detection
(2)
multi-modal learning
(2)
visual tracking
(2)
semi-supervised learning
(2)
semantic segmentation
(1)
model security
(1)
self-attention mechanism
(1)
network architecture
(1)
binary classification
(1)
image classification
(1)
sequence generation
(1)
feature learning
(1)
representation learning
(1)
change detection
(1)
feature extraction
(1)
Papers
CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking
AAAI 2026
Semantic-Driven Visual Progressive Refinement for Aerial-Ground Person ReID: A Challenging Large-Scale Benchmark
AAAI 2026
Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production
NSDI 2025
Quantum Algorithms for Finite-horizon Markov Decision Processes
ICML 2025
MetaDesigner: Advancing Artistic Typography through AI-Driven, User-Centric, and Multilingual WordArt Synthesis
ICLR 2025
RGBT Tracking via All-layer Multimodal Interactions with Progressive Fusion Mamba
AAAI 2025
Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network
AAAI 2025
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
CVPR 2024
LJPCheck: Functional Tests for Legal Judgment Prediction
ACL 2024
Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception
CVPR 2024
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning
ICCV 2023
Backdooring Neural Code Search
ACL 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification
ACML 2023
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
IJCAI 2023
HDFormer: High-order Directed Transformer for 3D Human Pose Estimation
IJCAI 2023
Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection
CVPR 2023
WordArt Designer: User-Driven Artistic Typography Synthesis using Large Language Models
EMNLP 2023
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
EMNLP 2022
Deep Learning Meets Software Engineering: A Survey on Pre-Trained Models of Source Code
IJCAI 2022
Donβt Miss the Potential Customers! Retrieving Similar Ads to Improve User Targeting
EMNLP 2021
Identifying Exaggerated Language
EMNLP 2020
Multi-Spectral Vehicle Re-Identification: A Challenge
AAAI 2020
Overlap Sampler for Region-Based Object Detection
WACV 2020
Improving Statute Prediction via Mining Correlations between Statutes
ACML 2019
Semi-Supervised Learning With Graph Learning-Convolutional Networks
CVPR 2019
Data Representation and Learning With Graph Diffusion-Embedding Networks
CVPR 2019
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation
CVPR 2018
Graph Matching via Multiplicative Update Algorithm
NIPS 2017
Binary Constraint Preserving Graph Matching
CVPR 2017
Robust Out-of-Sample Data Recovery
IJCAI 2016