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Xingxuan Zhang

20 papers · 2019–2026 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+10 more ↓ πŸ—ΊοΈ Taxonomy Completionist (46) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Gold 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (11) πŸ† Grand Slam πŸ† Keyword Champion (3) 🀝 Dynamic Duo (18) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (96)

Venues

CVPR (8) AAAI (3) ICCV (3) ICLR (2) ICML (2) NeurIPS (2)

Top co-authors

Peng Cui (18) Renzhe Xu (15) Han Yu (9) Yue He (8) Hao Zou (5) Zheyan Shen (5) Bo Li (3) Jiansheng Li (3) Jiashuo Liu (3) Linjun Zhou (3)

Research topics

Machine Learning (19) Application Areas (13) Learning Types Β· Machine Learning (11) Optimization & Theory (9) Artificial Intelligence (6) Core AI (6) Deep Learning (5) Computer Vision (4) Analysis (4) Core Methods (4) Learning Types Β· Deep Learning (4) Mathematics & Optimization (2) Natural Language Processing (2) Optimization (2) Computer Science (1)

Keywords

out-of-distribution generalization (6) domain generalization (5) distribution shift (5) domain adaptation (3) stable learning (3) in-context learning (2) deep learning (2) regret bound (2) object detection (2) multi-armed bandit (2) covariate-shift generalization (2) generalization bound (2) incremental learning (1) model pretraining (1) model evaluation (1) representation learning (1) data augmentation (1) neural network optimization (1) online learning (1) sharpness-aware minimization (1)

Papers

Error Slice Discovery via Manifold Compactness AAAI 2026 Generating Risky Samples with Conformity Constraints via Diffusion Models AAAI 2026 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025 ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction ICCV 2025 On the Out-Of-Distribution Generalization of Large Multimodal Models CVPR 2025 Understanding the Generalization of In-Context Learning in Transformers: An Empirical Study ICLR 2025 Rethinking the Evaluation Protocol of Domain Generalization CVPR 2024 Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection NeurIPS 2024 Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023 Flatness-Aware Minimization for Domain Generalization ICCV 2023 Gradient Norm Aware Minimization Seeks First-Order Flatness and Improves Generalization CVPR 2023 Measure the Predictive Heterogeneity ICLR 2023 NICO++: Towards Better Benchmarking for Domain Generalization CVPR 2023 Stable Learning via Sparse Variable Independence AAAI 2023 Adversarial Eigen Attack on Black-Box Models CVPR 2022 A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization ICML 2022 Product Ranking for Revenue Maximization with Multiple Purchases NeurIPS 2022 Towards Unsupervised Domain Generalization CVPR 2022 Deep Stable Learning for Out-of-Distribution Generalization CVPR 2021 Spatio-Temporal Fusion Based Convolutional Sequence Learning for Lip Reading ICCV 2019