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Xiaoyu Wang

51 papers · 2013–2026 · 13 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.

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Papers

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