← Authors

Guansong Pang

39 papers · 2016–2026 · 9 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (59) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) πŸƒ Academic Marathon (9) πŸ† Keyword Champion (4) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (37) ⚑ Prolific Year (9) πŸ—ƒοΈ Keyword Collector (156)

Conferences

CVPR (8) ICCV (8) AAAI (7) IJCAI (6) NIPS (4) ICLR (2) ICML (2) ECCV (1) WACV (1)

Top co-authors

Xiao Bai (8) Chunhua Shen (6) Yu Tian (6) Jin Zheng (5) Wenjun Miao (5) Cheng Yan (5) Ling Chen (4) Jiawen Zhu (4) Gustavo Carneiro (4) Yanning Zhang (4)

Keywords

out-of-distribution detection (6) anomaly detection (6) video anomaly detection (6) representation learning (5) metric learning (4) zero-shot learning (4) graph anomaly detection (4) vision-language model (3) open-set recognition (3) few-shot learning (3) prompt learning (3) graph neural network (3) domain adaptation (2) contrastive learning (2) domain generalization (2) class imbalance (2) weakly supervised learning (2) adversarial learning (2) person re-identification (2) outlier detection (2)

Papers

MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models AAAI 2026
TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos AAAI 2026
Open-Set Graph Anomaly Detection via Normal Structure Regularisation ICLR 2025
Adaptive Deviation Learning for Visual Anomaly Detection with Data Contamination WACV 2025
Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025
FreqLLM: Frequency-Aware Large Language Models for Time Series Forecasting IJCAI 2025
Zero-shot Generalist Graph Anomaly Detection with Unified Neighborhood Prompts IJCAI 2025
GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers ICML 2025
Information Bottleneck-guided MLPs for Robust Spatial-temporal Forecasting ICML 2025
HVI: A New Color Space for Low-light Image Enhancement CVPR 2025
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection ICCV 2025
Long-Tailed Out-of-Distribution Detection via Normalized Outlier Distribution Adaptation NIPS 2024
Generative Semi-supervised Graph Anomaly Detection NIPS 2024
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection ICLR 2024
Simple Image-Level Classification Improves Open-Vocabulary Object Detection AAAI 2024
Out-of-Distribution Detection in Long-Tailed Recognition with Calibrated Outlier Class Learning AAAI 2024
VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection AAAI 2024
Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach NIPS 2024
Learning Transferable Negative Prompts for Out-of-Distribution Detection CVPR 2024
Open-Vocabulary Video Anomaly Detection CVPR 2024
Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection CVPR 2024
Toward Generalist Anomaly Detection via In-context Residual Learning with Few-shot Sample Prompts CVPR 2024
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection NIPS 2023
Cross-Domain Graph Anomaly Detection via Anomaly-Aware Contrastive Alignment AAAI 2023
Glocal Energy-Based Learning for Few-Shot Open-Set Recognition CVPR 2023
Feature Prediction Diffusion Model for Video Anomaly Detection ICCV 2023
Residual Pattern Learning for Pixel-Wise Out-of-Distribution Detection in Semantic Segmentation ICCV 2023
Anomaly Detection Under Distribution Shift ICCV 2023
Catching Both Gray and Black Swans: Open-Set Supervised Anomaly Detection CVPR 2022
Pixel-Wise Energy-Biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes ECCV 2022
Deep One-Class Classification via Interpolated Gaussian Descriptor AAAI 2022
Occluded Person Re-Identification With Single-Scale Global Representations ICCV 2021
Weakly-Supervised Video Anomaly Detection With Robust Temporal Feature Magnitude Learning ICCV 2021
BV-Person: A Large-Scale Dataset for Bird-View Person Re-Identification ICCV 2021
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection CVPR 2020
Unsupervised Representation Learning by Predicting Random Distances IJCAI 2020
Learning Homophily Couplings from Non-IID Data for Joint Feature Selection and Noise-Resilient Outlier Detection IJCAI 2017
Embedding-based Representation of Categorical Data by Hierarchical Value Coupling Learning IJCAI 2017
Outlier Detection in Complex Categorical Data by Modeling the Feature Value Couplings IJCAI 2016