Ying Wei

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 79

Top Topics

Transfer Learning

Sentiment Classification

Hierarchically Structured

Decomposition Method

Top Venues

Publications

Gangwei Jiang, Caigao Jiang, Zhaoyi Li, Siqiao Xue, Jun Zhou, Linqi Song, Defu Lian, Ying Wei
Interpretable Catastrophic Forgetting of Large Language Model Fine-tuning via Instruction Vector. CoRR (2024)
Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
Understanding and Patching Compositional Reasoning in LLMs. ACL (Findings) (2024)
Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. ACL (1) (2024)
Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu
Active Retrosynthetic Planning Aware of Route Quality. ICLR (2024)
Haokun Lin, Haoli Bai, Zhili Liu, Lu Hou, Muyi Sun, Linqi Song, Ying Wei, Zhenan Sun
MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric. CoRR (2024)
Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei
Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. ICLR (2024)
Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. AAAI (2024)
Haokun Lin, Haobo Xu, Yichen Wu, Jingzhi Cui, Yingtao Zhang, Linzhan Mou, Linqi Song, Zhenan Sun, Ying Wei
Rotation and Permutation for Advanced Outlier Management and Efficient Quantization of LLMs. CoRR (2024)
Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao
Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. CoRR (2024)
Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei
Understanding and Patching Compositional Reasoning in LLMs. CoRR (2024)
Shengzhuang Chen, Jihoon Tack, Yunqiao Yang, Yee Whye Teh, Jonathan Richard Schwarz, Ying Wei
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts. CoRR (2024)
Chang Liao, Yemin Yu, Yu Mei, Ying Wei
From Words to Molecules: A Survey of Large Language Models in Chemistry. CoRR (2024)
Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang
Learning Chemical Rules of Retrosynthesis with Pre-training. AAAI (2023)
Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. EMNLP (Findings) (2023)
Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, Kede Ma
Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective. CVPR (2023)
Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Xinhai Ye, Zhihua Wang, Fei Wu
RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. CoRR (2023)
Yunqiao Yang, Long-Kai Huang, Ying Wei
Concept-wise Fine-tuning Matters in Preventing Negative Transfer. CoRR (2023)
Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Y. Zhang, Jun Zhou, Defu Lian, Ying Wei
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt. CoRR (2023)
Qing Guo, Jie Yang, Yufeng Xiao, Huaqing Wang, Mingan Yu, Ying Wei, Zhenlong Zhao
A Joint Attention Module and Deformable Transformer Network for Hyperparathyroidism Detection. BIBM (2023)
Zhaoyi Li, Ying Wei, Defu Lian
Learning to Substitute Spans towards Improving Compositional Generalization. ACL (1) (2023)
Yunqiao Yang, Long-Kai Huang, Ying Wei
Concept-wise Fine-tuning Matters in Preventing Negative Transfer. ICCV (2023)
Shengzhuang Chen, Long-Kai Huang, Jonathan Richard Schwarz, Yilun Du, Ying Wei
Secure Out-of-Distribution Task Generalization with Energy-Based Models. NeurIPS (2023)
Zhaoyi Li, Ying Wei, Defu Lian
Learning to Substitute Spans towards Improving Compositional Generalization. CoRR (2023)
Yichen Wu, Long-Kai Huang, Ying Wei
Adversarial Task Up-sampling for Meta-learning. NeurIPS (2022)
Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei
Frustratingly Easy Transferability Estimation. ICML (2022)
Juan Zha, Zheng Li, Ying Wei, Yu Zhang
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering. EMNLP (Findings) (2022)
Long-Kai Huang, Ying Wei
Improving Task-Specific Generalization in Few-Shot Learning via Adaptive Vicinal Risk Minimization. NeurIPS (2022)
Qing Guo, Yufeng Xiao, Huaqing Wang, Mingan Yu, Ying Wei, Zhenlong Zhao
A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection. SMC (2022)
Yichen Wu, Long-Kai Huang, Ying Wei
Learning to generate imaginary tasks for improving generalization in meta-learning. CoRR (2022)
Yemin Yu, Ying Wei, Kun Kuang, Zhengxing Huang, Huaxiu Yao, Fei Wu
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy. NeurIPS (2022)
Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian
Self-Supervised Text Erasing with Controllable Image Synthesis. CoRR (2022)
Gangwei Jiang, Shiyao Wang, Tiezheng Ge, Yuning Jiang, Ying Wei, Defu Lian
Self-Supervised Text Erasing with Controllable Image Synthesis. ACM Multimedia (2022)
Juan Zha, Zheng Li, Ying Wei, Yu Zhang
Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering. CoRR (2022)
Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. EMNLP (1) (2021)
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
Meta-learning with an Adaptive Task Scheduler. CoRR (2021)
Huaxiu Yao, Ying Wei, Long-Kai Huang, Ding Xue, Junzhou Huang, Zhenhui Li
Functionally Regionalized Knowledge Transfer for Low-resource Drug Discovery. NeurIPS (2021)
Huaxiu Yao, Yu Wang, Ying Wei, Peilin Zhao, Mehrdad Mahdavi, Defu Lian, Chelsea Finn
Meta-learning with an Adaptive Task Scheduler. NeurIPS (2021)
Long-Kai Huang, Ying Wei, Yu Rong, Qiang Yang, Junzhou Huang
Frustratingly Easy Transferability Estimation. CoRR (2021)
Huaxiu Yao, Long-Kai Huang, Linjun Zhang, Ying Wei, Li Tian, James Zou, Junzhou Huang, Zhenhui Li
Improving Generalization in Meta-learning via Task Augmentation. ICML (2021)
Sifan Wu, Xi Xiao, Qianggang Ding, Peilin Zhao, Ying Wei, Junzhou Huang
Adversarial Sparse Transformer for Time Series Forecasting. NeurIPS (2020)
Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang
TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. KDD (2020)
Jizu Huang, Chao Yang, Ying Wei
Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system. CoRR (2020)
Jiabo Chen, Qing Guo, Zixun Jiang, Huaqing Wang, Mingan Yu, Ying Wei
Recognition of Hyperparathyroidism based on Transfer Learning. BIBM (2020)
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
Fisher Deep Domain Adaptation. CoRR (2020)
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
Self-Supervised Graph Transformer on Large-Scale Molecular Data. NeurIPS (2020)
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. IEEE Trans. Image Process. 29 (2020)
Yifan Zhang, Ying Wei, Qingyao Wu, Peilin Zhao, Shuaicheng Niu, Junzhou Huang, Mingkui Tan
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR (2020)
Huaxiu Yao, Longkai Huang, Ying Wei, Li Tian, Junzhou Huang, Zhenhui Li
Don't Overlook the Support Set: Towards Improving Generalization in Meta-learning. CoRR (2020)
Jizu Huang, Chao Yang, Ying Wei
Parallel Energy-Stable Solver for a Coupled Allen-Cahn and Cahn-Hilliard System. SIAM J. Sci. Comput. 42 (5) (2020)
Yifan Zhang, Shuaicheng Niu, Zhen Qiu, Ying Wei, Peilin Zhao, Jianhua Yao, Junzhou Huang, Qingyao Wu, Mingkui Tan
COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19. CoRR (2020)
Yu Rong, Yatao Bian, Tingyang Xu, Weiyang Xie, Ying Wei, Wenbing Huang, Junzhou Huang
GROVER: Self-supervised Message Passing Transformer on Large-scale Molecular Data. CoRR (2020)
Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang
Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. EMNLP (1) (2020)
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
Graph Few-Shot Learning via Knowledge Transfer. AAAI (2020)
Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang
Fisher Deep Domain Adaptation. SDM (2020)
Yifan Zhang, Ying Wei, Peilin Zhao, Shuaicheng Niu, Qingyao Wu, Mingkui Tan, Junzhou Huang
Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis. CoRR (2019)
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
Hierarchically Structured Meta-learning. CoRR (2019)
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. WWW (2019)
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li
Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. AAAI (2019)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. EMNLP/IJCNLP (1) (2019)
Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
Graph Few-shot Learning via Knowledge Transfer. CoRR (2019)
Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li
Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. CoRR (2019)
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang
Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. CoRR (2019)
Ying Wei, Peilin Zhao, Huaxiu Yao, Junzhou Huang
Transferable Neural Processes for Hyperparameter Optimization. CoRR (2019)
Yifan Zhang, Hanbo Chen, Ying Wei, Peilin Zhao, Jiezhang Cao, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Jinlong Hou, Xiao Han, Jianhua Yao, Qingyao Wu, Mingkui Tan, Junzhou Huang
From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. MICCAI (1) (2019)
Ying Wei, Chao Yang, Jizu Huang
Parallel energy-stable phase field crystal simulations based on domain decomposition methods. Comput. Phys. Commun. 234 (2019)
Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li
Hierarchically Structured Meta-learning. ICML (2019)
Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang
Transfer Learning via Learning to Transfer. ICML (2018)
Zheng Li, Ying Wei, Yu Zhang, Qiang Yang
Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. AAAI (2018)
Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang
Transferable Contextual Bandit for Cross-Domain Recommendation. AAAI (2018)
Yu Zhang, Ying Wei, Qiang Yang
Learning to Multitask. NeurIPS (2018)
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li, Qiang Yang
Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification. CoRR (2018)
Yu Zhang, Ying Wei, Qiang Yang
Learning to Multitask. CoRR (2018)
Ying Wei, Chao Yang, Jizu Huang
Parallel energy-stable phase field crystal simulations based on domain decomposition methods. CoRR (2017)
Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang
End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. IJCAI (2017)
Bo Liu, Ying Wei, Yu Zhang, Qiang Yang
Deep Neural Networks for High Dimension, Low Sample Size Data. IJCAI (2017)
Ying Wei, Yu Zhang, Qiang Yang
Learning to Transfer. CoRR (2017)
Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang
Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. AAAI (2016)
Ying Wei, Yu Zheng, Qiang Yang
Transfer Knowledge between Cities. KDD (2016)
Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang
Heterogeneous Translated Hashing: A Scalable Solution Towards Multi-Modal Similarity Search. ACM Trans. Knowl. Discov. Data 10 (4) (2016)
Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang
Scalable heterogeneous translated hashing. KDD (2014)