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Xiaoyu Wang

50 papers · 2013–2026 · 13 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) 🤝 Dynamic Duo (10) 👑 Triple Crown 🏆 Grand Slam 🧬 Topic Evolution 💎 Century Club (46) 🚀 Conference Pioneer 📈 Trend Setter 🗃️ Keyword Collector (196) Prolific Year (13) 🔥 Unstoppable (9)

Conferences

CVPR (8) ICCV (6) ICML (6) AAAI (5) ACL (5) ECCV (5) NIPS (4) IJCAI (3) EMNLP (2) ICLR (2) JMLR (2) AISTATS (1) INTERSPEECH (1)

Papers

DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning AAAI 2026 CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records AAAI 2026 CuMA: Aligning LLMs with Sparse Cultural Values via Demographic-Aware Mixture of Adapters ACL 2026 MultiFinBen: Benchmarking Large Language Models for Multilingual and Multimodal Financial Application ACL 2026 DenseLoRA: Dense Low-Rank Adaptation of Large Language Models ACL 2025 ScaleBiO: Scalable Bilevel Optimization for LLM Data Reweighting ACL 2025 Convert Language Model into a Value-based Strategic Planner ACL 2025 Revisiting Differentially Private Algorithms for Decentralized Online Learning ICML 2025 CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling EMNLP 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving CVPR 2024 Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise ICLR 2024 Generalized Polyak Step Size for First Order Optimization with Momentum ICML 2023 Unleashing the Full Potential of Product Quantization for Large-Scale Image Retrieval NIPS 2023 NAR-Former V2: Rethinking Transformer for Universal Neural Network Representation Learning NIPS 2023 Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding AAAI 2023 Boosting Weakly-Supervised Temporal Action Localization With Text Information CVPR 2023 DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023 NAR-Former: Neural Architecture Representation Learning Towards Holistic Attributes Prediction CVPR 2023 ParCNetV2: Oversized Kernel with Enhanced Attention ICCV 2023 Fcaformer: Forward Cross Attention in Hybrid Vision Transformer ICCV 2023 All-to-Key Attention for Arbitrary Style Transfer ICCV 2023 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size JMLR 2023 Lifted Bregman Training of Neural Networks JMLR 2023 Improving Adversarial Robustness via Mutual Information Estimation ICML 2022 ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer ECCV 2022 Connecting Compression Spaces with Transformer for Approximate Nearest Neighbor Search ECCV 2022 Multi-Modal Multi-Correlation Learning for Audio-Visual Speech Separation INTERSPEECH 2022 Towards Semi-Supervised Deep Facial Expression Recognition With an Adaptive Confidence Margin CVPR 2022 Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce EMNLP 2022 Removing Adversarial Noise in Class Activation Feature Space ICCV 2021 A Sketch-Transformer Network for Face Photo-Sketch Synthesis IJCAI 2021 On the Convergence of Step Decay Step-Size for Stochastic Optimization NIPS 2021 Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections ICML 2021 Accelerating Deep Learning with Millions of Classes ECCV 2020 Robust Partial Matching for Person Search in the Wild CVPR 2020 A Simple and Effective Framework for Pairwise Deep Metric Learning ECCV 2020 Group Reconstruction and Max-Pooling Residual Capsule Network IJCAI 2019 A Robust Zero-Sum Game Framework for Pool-based Active Learning AISTATS 2019 Adaptive Negative Curvature Descent with Applications in Non-convex Optimization NIPS 2018 Fast Stochastic AUC Maximization with $O(1/n)$-Convergence Rate ICML 2018 Deep Regionlets for Object Detection ECCV 2018 Deep Reinforcement Learning-Based Image Captioning With Embedding Reward CVPR 2017 Exploring Personalized Neural Conversational Models IJCAI 2017 Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification CVPR 2015 Semantic-Aware Co-indexing for Image Retrieval ICCV 2013 Regionlets for Generic Object Detection ICCV 2013