James Bailey

41 papers · 2010–2026 · 12 conferences · across top CS/AI conferences

Achievements

+12 more ↓

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🌍 Conference Polyglot (12)

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (15) 🤝 Dynamic Duo (19) 🏆 Grand Slam 🧬 Topic Evolution 🏆 Keyword Champion (2) 🚀 Conference Pioneer ⚡ Prolific Year (7) 🗃️ Keyword Collector (131) 💎 Century Club (39) 🔥 Unstoppable (10)

Conferences

ICLR (7) ICML (7) CVPR (5) AAAI (4) IJCAI (4) JMLR (3) NIPS (3) ACML (2) ECCV (2) MIDL (2) ICCV (1) WACV (1)

Top co-authors

Xingjun Ma (20) Yisen Wang (11) Hanxun Huang (7) Sarah Monazam Erfani (7) Christopher Leckie (6) Kotagiri Ramamohanarao (5) Sarah Erfani (5) Peter J. Stuckey (4) Qiuhong Ke (4) Jeffrey Chan (4)

Keywords

noisy label (4) deep neural network (4) combinatorial optimization (4) neural network (3) skeleton-based action recognition (3) predict and optimize (3) dynamic programming (2) adversarial robustness (2) cross entropy (2) clustering comparison (2) loss function (2) adversarial training (2) adversarial example (2) zero-shot learning (2) mutual information (2) online learning (1) model selection (1) label noise detection (1) action recognition (1) image classification (1)

Papers

Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models AAAI 2026 SurgicalSemiSeg: A Semi-Supervised Framework for Laparoscopic Image Segmentation MIDL 2025 Semantic-guided Cross-Modal Prompt Learning for Skeleton-based Zero-shot Action Recognition CVPR 2025 Detecting Backdoor Samples in Contrastive Language Image Pretraining ICLR 2025 X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP ICML 2025 LDReg: Local Dimensionality Regularized Self-Supervised Learning ICLR 2024 Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models ICML 2024 DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery MIDL 2024 Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition CVPR 2024 Adaptive Local-Component-Aware Graph Convolutional Network for One-Shot Skeleton-Based Action Recognition WACV 2023 Distilling Cognitive Backdoor Patterns within an Image ICLR 2023 MurTree: Optimal Decision Trees via Dynamic Programming and Search JMLR 2022 A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems AAAI 2022 IGFormer: Interaction Graph Transformer for Skeleton-Based Human Interaction Recognition ECCV 2022 $\alpha$-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression NIPS 2021 Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search AAAI 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks NIPS 2021 Unlearnable Examples: Making Personal Data Unexploitable ICLR 2021 Normalized Loss Functions for Deep Learning with Noisy Labels ICML 2020 Improving Adversarial Robustness Requires Revisiting Misclassified Examples ICLR 2020 Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks ECCV 2020 Clean-Label Backdoor Attacks on Video Recognition Models CVPR 2020 Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles CVPR 2020 Dynamic Programming for Predict+Optimise AAAI 2020 Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets ICLR 2020 Symmetric Cross Entropy for Robust Learning With Noisy Labels ICCV 2019 Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes NIPS 2019 On the Convergence and Robustness of Adversarial Training ICML 2019 Predict+Optimise with Ranking Objectives: Exhaustively Learning Linear Functions IJCAI 2019 SynthNet: Learning to Synthesize Music End-to-End IJCAI 2019 Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality ICLR 2018 Iterative Learning With Open-Set Noisy Labels CVPR 2018 Dimensionality-Driven Learning with Noisy Labels ICML 2018 Adversarial Generation of Real-time Feedback with Neural Networks for Simulation-based Training IJCAI 2017 Efficient Orthogonal Parametrisation of Recurrent Neural Networks Using Householder Reflections ICML 2017 Robust Domain Generalisation by Enforcing Distribution Invariance IJCAI 2016 Adjusting for Chance Clustering Comparison Measures JMLR 2016 Standardized Mutual Information for Clustering Comparisons: One Step Further in Adjustment for Chance ICML 2014 AIC and BIC based approaches for SVM parameter value estimation with RBF kernels ACML 2012 Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance JMLR 2010