← Authors

Ying Wei

61 papers · 2017–2025 · 12 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (8) 🌍 Conference Polyglot (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (12) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (11) πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ”₯ Unstoppable (9) ❓ The Questioner (2) πŸ“ˆ Trend Setter πŸ’Ž Century Club (61) πŸ—ƒοΈ Keyword Collector (212)

Conferences

NIPS (14) ICML (12) EMNLP (9) ICLR (8) AAAI (4) ACL (4) CVPR (4) IJCAI (2) AISTATS (1) ICCV (1) IJCNLP (1) INTERSPEECH (1)

Top co-authors

Yu Zhang (12) Long-Kai Huang (11) Huaxiu Yao (10) Junzhou Huang (9) Defu Lian (8) Qiang Yang (8) Linqi Song (7) Zheng Li (7) Yichen WU (6) Zhaoyi Li (6)

Keywords

few-shot learning (9) domain adaptation (9) transfer learning (9) knowledge transfer (4) adversarial learning (4) graph neural network (4) compositional generalization (3) attention mechanism (3) model editing (3) drug discovery (3) self-supervised learning (3) domain generalization (3) sequence labeling (3) adversarial training (3) multi-task learning (2) continual learning (2) model compression (2) contrastive learning (2) low-rank adaptation (2) multitask learning (2)

Papers

Anyprefer: An Agentic Framework for Preference Data Synthesis ICLR 2025
SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning ICLR 2025
Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation ICML 2025
Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures ICML 2025
What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning EMNLP 2025
Improving Alignment in LVLMs with Debiased Self-Judgment EMNLP 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025
CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models ICLR 2025
Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts ACL 2025
CREAM: Consistency Regularized Self-Rewarding Language Models ICLR 2025
Learning Visual Generative Priors without Text CVPR 2025
DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs NIPS 2024
Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning NIPS 2024
Learning Where to Edit Vision Transformers NIPS 2024
Federated Continual Learning via Prompt-based Dual Knowledge Transfer ICML 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts ICML 2024
One Meta-tuned Transformer is What You Need for Few-shot Learning ICML 2024
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction AAAI 2024
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction ICLR 2024
Gradual Domain Adaptation via Gradient Flow ICLR 2024
Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization ICML 2024
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation ACL 2024
Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing EMNLP 2024
Understanding and Patching Compositional Reasoning in LLMs ACL 2024
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric CVPR 2024
Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models NIPS 2024
Active Retrosynthetic Planning Aware of Route Quality ICLR 2024
Audio-Visual Fusion using Multiscale Temporal Convolutional Attention for Time-Domain Speech Separation INTERSPEECH 2023
Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework NIPS 2023
Secure Out-of-Distribution Task Generalization with Energy-Based Models NIPS 2023
Learning Chemical Rules of Retrosynthesis with Pre-training AAAI 2023
Learning to Substitute Spans towards Improving Compositional Generalization ACL 2023
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective CVPR 2023
CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection CVPR 2023
ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition EMNLP 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023
Concept-wise Fine-tuning Matters in Preventing Negative Transfer ICCV 2023
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering EMNLP 2022
Adversarial Task Up-sampling for Meta-learning NIPS 2022
Frustratingly Easy Transferability Estimation ICML 2022
The Role of Deconfounding in Meta-learning ICML 2022
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NIPS 2022
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization NIPS 2022
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision EMNLP 2021
Meta-learning with an Adaptive Task Scheduler NIPS 2021
Meta-learning Hyperparameter Performance Prediction with Neural Processes ICML 2021
Improving Generalization in Meta-learning via Task Augmentation ICML 2021
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery NIPS 2021
Graph Few-Shot Learning via Knowledge Transfer AAAI 2020
Adversarial Sparse Transformer for Time Series Forecasting NIPS 2020
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages EMNLP 2020
Self-Supervised Graph Transformer on Large-Scale Molecular Data NIPS 2020
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification AAAI 2019
Hierarchically Structured Meta-learning ICML 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning IJCNLP 2019
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning EMNLP 2019
Transfer Learning via Learning to Transfer ICML 2018
Learning to Multitask NIPS 2018
Deep Neural Networks for High Dimension, Low Sample Size Data IJCAI 2017
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification IJCAI 2017