Yong Wang

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

Achievements

+8 more ↓

🏃 Academic Marathon (17) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (13)

🗺️ Taxonomy Completionist (112) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🚀 Conference Pioneer 🗃️ Keyword Collector (220) 🔥 Unstoppable (8) 💎 Century Club (37) ⚡ Prolific Year (5)

Conferences

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

Top co-authors

Xiangxiang Chu (9) Yun Chen (4) Feng Xiong (4) Xiang Chen (4) Victor O.K. Li (3) Ningyu Zhang (3) Xin Xie (3) Xiangnan Chen (3) Dong Chen (3) Bo Zhang (3)

Keywords

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

Papers

AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting AAAI 2026 Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation AAAI 2026 Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning AAAI 2026 Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models ACL 2026 Visually-Guided Policy Optimization for Multimodal Reasoning ACL 2026 Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem ACL 2026 CoEvolve: Training LLM Agents via Agent-Data Mutual Evolution ACL 2026 CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation AAAI 2026 LD-RPS: Zero-Shot Unified Image Restoration via Latent Diffusion Recurrent Posterior Sampling ICCV 2025 Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition CVPR 2025 UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement ICCV 2025 E-Verify: A Paradigm Shift to Scalable Embedding-based Factuality Verification EMNLP 2025 Cross-MoE: An Efficient Temporal Prediction Framework Integrating Textual Modality EMNLP 2025 HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation EMNLP 2025 POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation EMNLP 2025 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 GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation ECCV 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 Training-Free Pretrained Model Merging CVPR 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 LLM4Vis: Explainable Visualization Recommendation using ChatGPT EMNLP 2023 TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy 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 SEMEVAL 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 ACL 2021 Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation CVPR 2021 Go From the General to the Particular: Multi-Domain Translation with Domain Transformation Networks AAAI 2020 PSENet: Psoriasis Severity Evaluation Network AAAI 2020 On the Sparsity of Neural Machine Translation Models EMNLP 2020 Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation IJCAI 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