← Authors

Yong Wang

41 papers · 2008–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (112) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (220) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (37) ⚑ Prolific Year (5)

Conferences

AAAI (9) EMNLP (9) CVPR (6) ICCV (4) ACL (2) COLING (2) IJCNLP (2) NIPS (2) ECCV (1) IJCAI (1) MICCAI (1) NSDI (1) SEMEVAL (1)

Top co-authors

Xiangxiang Chu (6) Xiang Chen (4) Xin Xie (3) Xiangnan Chen (3) Dong Chen (3) Victor O.K. Li (3) Ningyu Zhang (3) Bo Zhang (3) Yun Chen (3) Shumin Deng (3)

Keywords

neural machine translation (5) language model (4) domain adaptation (4) transfer learning (3) abstract meaning (3) negative augmentation (3) diffusion model (3) language model pre-training (2) mixture of expert (2) large language model (2) zero-shot learning (2) feature alignment (2) reading comprehension (2) non-autoregressive translation (2) model selection (2) reinforcement learning (2) data augmentation (2) knowledge distillation (2) multimodal learning (2) machine reading comprehension (2)

Papers

Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation AAAI 2026
AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026
Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning AAAI 2026
CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026
USP: Unified Self-Supervised Pretraining for Image Generation and Understanding ICCV 2025
Keep Your Friends Close, and Your Enemies Farther: Distance-aware Voxel-wise Contrastive Learning for Semi-supervised Multi-organ Segmentation ICCV 2025
LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement ICCV 2025
Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025
E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification EMNLP 2025
HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025
Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition CVPR 2025
POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025
Training-Free Pretrained Model Merging CVPR 2024
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NIPS 2024
On the Concept Trustworthiness in Concept Bottleneck Models AAAI 2024
Improving IP Geolocation With Target-Centric IP Graph (Student Abstract) AAAI 2024
FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance CVPR 2024
GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation ECCV 2024
Refining Intraocular Lens Power Calculation: A Multi-modal Framework Using Cross-layer Attention and Effective Channel Attention MICCAI 2024
Towards Domain-Specific Network Transport for Distributed DNN Training NSDI 2024
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation CVPR 2023
TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023
LLM4Vis: Explainable Visualization Recommendation using ChatGPT EMNLP 2023
Optimized Covariance Design for AB Test on Social Network under Interference NIPS 2023
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation EMNLP 2022
StyleSwin: Transformer-Based GAN for High-Resolution Image Generation CVPR 2022
A Transformer-based Threshold-Free Framework for Multi-Intent NLU COLING 2022
Improving Non-Autoregressive Neural Machine Translation via Modeling Localness COLING 2022
Large-Scale IP Usage Identification via Deep Ensemble Learning (Student Abstract) AAAI 2022
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning ACL 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning IJCNLP 2021
ZJUKLAB at SemEval-2021 Task 4: Negative Augmentation with Language Model for Reading Comprehension of Abstract Meaning SEMEVAL 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation CVPR 2021
On the Sparsity of Neural Machine Translation Models EMNLP 2020
Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation IJCAI 2020
Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020
PSENet: Psoriasis Severity Evaluation Network AAAI 2020
Improved Zero-shot Neural Machine Translation via Ignoring Spurious Correlations ACL 2019
Meta-Learning for Low-Resource Neural Machine Translation EMNLP 2018
Identify Temporal Websites Based on User Behavior Analysis IJCNLP 2008