Wei, Ying

55 publications

NeurIPS 2025 A$^3$E: Towards Compositional Model Editing Hongming Piao, Hao Wang, Dapeng Wu, Ying Wei

ICLR 2025 Anyprefer: An Agentic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

ICLR 2025 CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-Trained Models Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei

ICLR 2025 CREAM: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

ICML 2025 Come Together, but Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation Zhan Zhuang, Xiequn Wang, Wei Li, Yulong Zhang, Qiushi Huang, Shuhao Chen, Xuehao Wang, Yanbin Wei, Yuhe Nie, Kede Ma, Yu Zhang, Ying Wei

NeurIPS 2025 Curriculum Model Merging: Harmonizing Chemical LLMs for Enhanced Cross-Task Generalization Baoyi He, Luotian Yuan, Ying Wei, Fei Wu

NeurIPS 2025 Data Selection Matters: Towards Robust Instruction Tuning of Large Multimodal Models Xu Yang, Chen Liu, Ying Wei

CVPR 2025 Learning Visual Generative Priors Without Text Shuailei Ma, Kecheng Zheng, Ying Wei, Wei Wu, Fan Lu, Yifei Zhang, Chen-Wei Xie, Biao Gong, Jiapeng Zhu, Yujun Shen

ICML 2025 Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures Yingzhao Jian, Yue Zhang, Ying Wei, Hehe Fan, Yi Yang

ICLR 2025 SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning Yichen Wu, Hongming Piao, Long-Kai Huang, Renzhen Wang, Wanhua Li, Hanspeter Pfister, Deyu Meng, Kede Ma, Ying Wei

ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei

ICLR 2024 Active Retrosynthetic Planning Aware of Route Quality Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu

NeurIPSW 2024 AnyPrefer: An Automatic Framework for Preference Data Synthesis Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao

NeurIPSW 2024 CopRA: A Progressive LoRA Training Strategy Zhan Zhuang, Xiequn Wang, Yulong Zhang, Wei Li, Yu Zhang, Ying Wei

NeurIPSW 2024 Cream: Consistency Regularized Self-Rewarding Language Models Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao

NeurIPS 2024 DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei

ICML 2024 Federated Continual Learning via Prompt-Based Dual Knowledge Transfer Hongming Piao, Yichen Wu, Dapeng Wu, Ying Wei

ICLR 2024 Gradual Domain Adaptation via Gradient Flow Zhan Zhuang, Yu Zhang, Ying Wei

NeurIPS 2024 Learning Where to Edit Vision Transformers Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen, Kede Ma, Ying Wei

ICLR 2024 Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei

ICML 2024 Mitigating Catastrophic Forgetting in Online Continual Learning by Modeling Previous Task Interrelations via Pareto Optimization Yichen Wu, Hong Wang, Peilin Zhao, Yefeng Zheng, Ying Wei, Long-Kai Huang

NeurIPS 2024 Mixture of Adversarial LoRAs: Boosting Robust Generalization in Meta-Tuning Xu Yang, Chen Liu, Ying Wei

CVPR 2024 MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-Wise Pruning Error Metric Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun

ICML 2024 One Meta-Tuned Transformer Is What You Need for Few-Shot Learning Xu Yang, Huaxiu Yao, Ying Wei

AAAI 2024 RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye

NeurIPS 2024 Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models Zhan Zhuang, Yulong Zhang, Xuehao Wang, Jiangang Lu, Ying Wei, Yu Zhang

ICML 2024 Unleashing the Power of Meta-Tuning for Few-Shot Generalization Through Sparse Interpolated Experts Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei

CVPR 2023 Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, Kede Ma

CVPR 2023 CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection Shuailei Ma, Yuefeng Wang, Ying Wei, Jiaqi Fan, Thomas H. Li, Hongli Liu, Fanbing Lv

ICCV 2023 Concept-Wise Fine-Tuning Matters in Preventing Negative Transfer Yunqiao Yang, Long-Kai Huang, Ying Wei

NeurIPS 2023 Does Continual Learning Meet Compositionality? New Benchmarks and an Evaluation Framework Weiduo Liao, Ying Wei, Mingchen Jiang, Qingfu Zhang, Hisao Ishibuchi

AAAI 2023 Learning Chemical Rules of Retrosynthesis with Pre-Training Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang

NeurIPS 2023 Secure Out-of-Distribution Task Generalization with Energy-Based Models Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei

AISTATS 2023 Wasserstein Distributional Learning via Majorization-Minimization Chengliang Tang, Nathan Lenssen, Ying Wei, Tian Zheng

NeurIPS 2022 Adversarial Task Up-Sampling for Meta-Learning Yichen Wu, Long-Kai Huang, Ying Wei

ICML 2022 Frustratingly Easy Transferability Estimation Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei

NeurIPS 2022 GRASP: Navigating Retrosynthetic Planning with Goal-Driven Policy Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu

NeurIPS 2022 Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization Long-Kai Huang, Ying Wei

ICML 2022 The Role of Deconfounding in Meta-Learning Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei

NeurIPS 2021 Functionally Regionalized Knowledge Transfer for Low-Resource Drug Discovery Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li

ICML 2021 Improving Generalization in Meta-Learning via Task Augmentation Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui () Li

ICML 2021 Meta-Learning Hyperparameter Performance Prediction with Neural Processes Ying Wei, Peilin Zhao, Junzhou Huang

NeurIPS 2021 Meta-Learning with an Adaptive Task Scheduler Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn

NeurIPS 2020 Adversarial Sparse Transformer for Time Series Forecasting Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang

AAAI 2020 Graph Few-Shot Learning via Knowledge Transfer Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li

NeurIPS 2020 Self-Supervised Graph Transformer on Large-Scale Molecular Data Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang

AAAI 2019 Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li

ICML 2019 Hierarchically Structured Meta-Learning Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li

AAAI 2018 Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification Zheng Li, Ying Wei, Yu Zhang, Qiang Yang

NeurIPS 2018 Learning to Multitask Yu Zhang, Ying Wei, Qiang Yang

ICML 2018 Transfer Learning via Learning to Transfer Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang

AAAI 2018 Transferable Contextual Bandit for Cross-Domain Recommendation Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang

IJCAI 2017 Deep Neural Networks for High Dimension, Low Sample Size Data Bo Liu, Ying Wei, Yu Zhang, Qiang Yang

IJCAI 2017 End-to-End Adversarial Memory Network for Cross-Domain Sentiment Classification Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang

AAAI 2016 Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang