Xiaoyu Wang
50 papers · 2013–2026 · 13 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (12)
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Keyword Pioneer
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Hot Topic Early Bird
🐝
Cross-Pollinator
(11)
🤝
Dynamic Duo
(10)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
💎
Century Club
(46)
🚀
Conference Pioneer
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Trend Setter
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Keyword Collector
(196)
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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)
Top co-authors
Keywords
large language model
(5)
contrastive learning
(4)
stochastic gradient descent
(4)
mutual information
(3)
object detection
(3)
stochastic optimization
(3)
neural network training
(3)
knowledge graph
(2)
reinforcement learning
(2)
convergence rate
(2)
multimodal learning
(2)
person re-identification
(2)
model aggregation
(2)
image retrieval
(2)
vision transformer
(2)
semi-supervised learning
(2)
non-convex optimization
(2)
adversarial robustness
(2)
federated learning
(2)
adversarial training
(2)
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