Xiaoqiang Li

13 papers · 2019–2025 · 7 conferences · across top CS/AI conferences

Achievements

+9 more ↓

🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (6) 🌍 Conference Polyglot (7) 🗺️ Taxonomy Completionist (36)

🗺️ Taxonomy Completionist (36) 🧭 Keyword Pioneer 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (13) 🗃️ Keyword Collector (62) ⚡ Prolific Year (5) 🔥 Unstoppable (5) 🚀 Conference Pioneer

Conferences

AAAI (4) CVPR (3) ICML (2) ICCV (1) ICLR (1) IJCAI (1) NIPS (1)

Top co-authors

songmin dai (6) Yuanchen Wu (5) Tong Liu (4) Xichen Ye (4) Jide Li (3) Ke Yan (3) Shouhong Ding (3) Shaorong Xie (2) Junlong Du (2) Congcong Zhu (2)

Keywords

noisy label (2) weakly supervised semantic segmentation (2) class activation map (2) model robustness (2) weakly supervised learning (2) instance segmentation (1) visual question answering (1) contrastive learning (1) knowledge distillation (1) label noise (1) preference optimization (1) adversarial training (1) anomaly detection (1) neural network optimization (1) facial landmark detection (1) self-supervised learning (1) progressive learning (1) face alignment (1) positive unlabeled learning (1) noisy label learning (1)

Papers

One Arrow, Two Hawks: Sharpness-aware Minimization for Federated Learning via Global Model Trajectory ICML 2025 ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts ICLR 2025 Towards Rationale-Answer Alignment of LVLMs via Self-Rationale Calibration ICML 2025 Antidote: A Unified Framework for Mitigating LVLM Hallucinations in Counterfactual Presupposition and Object Perception CVPR 2025 Optimized Gradient Clipping for Noisy Label Learning AAAI 2025 Generating and Reweighting Dense Contrastive Patterns for Unsupervised Anomaly Detection AAAI 2024 DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation CVPR 2024 Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation IJCAI 2023 GradPU: Positive-Unlabeled Learning via Gradient Penalty and Positive Upweighting AAAI 2023 Active Negative Loss Functions for Learning with Noisy Labels NIPS 2023 Occlusion-Robust Face Alignment Using a Viewpoint-Invariant Hierarchical Network Architecture CVPR 2022 Improving Robustness of Facial Landmark Detection by Defending Against Adversarial Attacks ICCV 2021 Learning Segmentation Masks with the Independence Prior AAAI 2019