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Xingxuan Zhang

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

Achievements

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+10 more ↓ πŸƒ Academic Marathon (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (6)
πŸ—ΊοΈ Taxonomy Completionist (46) 🌍 Conference Polyglot (6) 🀝 Dynamic Duo (16) πŸ† Grand Slam πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (88) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (18)

Conferences

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

Keywords

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

Papers

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