| 2026 | ACL | Safety Guardrails of Large Language Models Are Vulnerable to Value-Driven Adversarial Prompting. | Xiaohao Luo, Ying Wei, Zhijun Li |
| 2026 | ACL | Detecting What Queries Seek: Steering LLM Safety with FFN Output Activation Monitoring. | Xiaohao Luo, Ying Wei, Rui Zhao |
| 2026 | ISCAS | CML-UNet: An Adaptive Spatiotemporal Registration Network for Medical Image Sequences. | Xinyu Liu, Zhenyu Zhu, Changpeng Shen, Ying Wei |
| 2025 | ACL | Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts. | Shengzhuang Chen, Ying Wei, Jonathan Richard Schwarz |
| 2025 | APWEB | Continuous Top-k Skyline Pairs Query Over Data Stream. | Dahai Zhou, Jianxin Han, Sisilan Song, Ying Wei, Rui Zhu, Tao Qiu, Anzhen Zhang, Hong Jiang |
| 2025 | CVPR | 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 |
| 2025 | EMNLP | What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning. | Gangwei Jiang, Yahui Liu, Zhaoyi Li, Wei Bi, Fuzheng Zhang, Linqi Song, Ying Wei, Defu Lian |
| 2025 | EMNLP | Improving Alignment in LVLMs with Debiased Self-Judgment. | Sihan Yang, Chenhang Cui, Zihao Zhao, Yiyang Zhou, Weilong Yan, Ying Wei, Huaxiu Yao |
| 2025 | ICDM | CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting. | Abdurahman Ali Mohammed, Catherine Fonder, Ying Wei, Wallapak Tavanapong, Donald S. Sakaguchi, Qi Li, Surya K. Mallapragada |
| 2025 | ICLR | CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models. | Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun, Kede Ma, Ying Wei |
| 2025 | ICLR | 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 |
| 2025 | ICLR | CREAM: Consistency Regularized Self-Rewarding Language Models. | Zhaoyang Wang, Weilei He, Zhiyuan Liang, Xuchao Zhang, Chetan Bansal, Ying Wei, Weitong Zhang, Huaxiu Yao |
| 2025 | ICLR | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICML | Reaction Graph: Towards Reaction-Level Modeling for Chemical Reactions with 3D Structures. | Yingzhao Jian, Yue Zhang, Ying Wei, Hehe Fan, Yi Yang |
| 2025 | ICML | 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 |
| 2025 | SMC | ASW-YOLO: Hierarchical Global-Local Feature Learning with Dynamic Focus Loss for Accurate Hyperparathyroidism Detection in Ultrasound Imaging. | Qihong Xie, Jie Yang, Qing Guo, Huaqing Wang, Mingan Yu, Ying Wei, Zhenlong Zhao |
| 2024 | AAAI | RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction. | Yemin Yu, Luotian Yuan, Ying Wei, Hanyu Gao, Fei Wu, Zhihua Wang, Xinhai Ye |
| 2024 | ACL | Understanding and Patching Compositional Reasoning in LLMs. | Zhaoyi Li, Gangwei Jiang, Hong Xie, Linqi Song, Defu Lian, Ying Wei |
| 2024 | ACL | Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation. | Tianqi Zhong, Zhaoyi Li, Quan Wang, Linqi Song, Ying Wei, Defu Lian, Zhendong Mao |
| 2024 | CVPR | 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 |
| 2024 | EMNLP | Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing. | Weichuan Wang, Zhaoyi Li, Defu Lian, Chen Ma, Linqi Song, Ying Wei |
| 2024 | ICLR | Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction. | Yichen Wu, Long-Kai Huang, Renzhen Wang, Deyu Meng, Ying Wei |
| 2024 | ICLR | Active Retrosynthetic Planning Aware of Route Quality. | Luotian Yuan, Yemin Yu, Ying Wei, Yongwei Wang, Zhihua Wang, Fei Wu |
| 2024 | ICLR | Gradual Domain Adaptation via Gradient Flow. | Zhan Zhuang, Yu Zhang, Ying Wei |
| 2024 | ICML | 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 |
| 2024 | ICML | Federated Continual Learning via Prompt-based Dual Knowledge Transfer. | Hongming Piao, Yichen Wu, Dapeng Wu, Ying Wei |
| 2024 | ICML | 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 |
| 2024 | ICML | One Meta-tuned Transformer is What You Need for Few-shot Learning. | Xu Yang, Huaxiu Yao, Ying Wei |
| 2024 | IJCNN | A Multi-objective Perspective Towards Improving Meta-Generalization. | Weiduo Liao, Ying Wei, Qirui Sun, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | ISCAS | Multi-Kernel Attention Encoder For Time-Domain Speech Separation. | Zengrun Liu, Diya Shi, Ying Wei |
| 2023 | AAAI | Learning Chemical Rules of Retrosynthesis with Pre-training. | Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang, Zhihua Wang |
| 2023 | ACL | Learning to Substitute Spans towards Improving Compositional Generalization. | Zhaoyi Li, Ying Wei, Defu Lian |
| 2023 | AISTATS | Wasserstein Distributional Learning via Majorization-Minimization. | Chengliang Tang, Nathan Lenssen, Ying Wei, Tian Zheng |
| 2023 | CVPR | 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 |
| 2023 | CVPR | Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective. | Weixia Zhang, Guangtao Zhai, Ying Wei, Xiaokang Yang, Kede Ma |
| 2023 | EMNLP | Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts. | Gangwei Jiang, Caigao Jiang, Siqiao Xue, James Zhang, Jun Zhou, Defu Lian, Ying Wei |
| 2023 | EMNLP | ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition. | Ying Wei, Qi Li |
| 2023 | ICCV | Concept-wise Fine-tuning Matters in Preventing Negative Transfer. | Yunqiao Yang, Long-Kai Huang, Ying Wei |
| 2023 | Interspeech | Audio-Visual Fusion using Multiscale Temporal Convolutional Attention for Time-Domain Speech Separation. | Debang Liu, Tianqi Zhang, Mads Grsbll Christensen, Ying Wei, Zeliang An |
| 2023 | MMM | A Spectrum Dependent Depth Layered Model for Optimization Rendering Quality of Light Field. | Xiangqi Gan, Changjian Zhu, Mengqin Bai, Ying Wei, Weiyan Chen |
| 2022 | EMNLP | Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering. | Juan Zha, Zheng Li, Ying Wei, Yu Zhang |
| 2022 | ICML | Frustratingly Easy Transferability Estimation. | Long-Kai Huang, Junzhou Huang, Yu Rong, Qiang Yang, Ying Wei |
| 2022 | ICML | The Role of Deconfounding in Meta-learning. | Yinjie Jiang, Zhengyu Chen, Kun Kuang, Luotian Yuan, Xinhai Ye, Zhihua Wang, Fei Wu, Ying Wei |
| 2022 | IPEC | Design and Manufacture of Solar Illuminance Tracker. | Na Zhang, Ying Wei, Yuejuan Huang |
| 2022 | KDD | SagDRE: Sequence-Aware Graph-Based Document-Level Relation Extraction with Adaptive Margin Loss. | Ying Wei, Qi Li |
| 2022 | MMM | An Iterative Correction Phase of Light Field for Novel View Reconstruction. | Changjian Zhu, Hong Zhang, Ying Wei, Nan He, Qiuming Liu |
| 2022 | SMC | A Benchmark and Transformer-based Approach for Automated Hyperparathyroidism Detection. | Qing Guo, Yufeng Xiao, Huaqing Wang, Mingan Yu, Ying Wei, Zhenlong Zhao |
| 2022 | VCIP | Spectral Analysis of Aerial Light Field for Optimization Sampling and Rendering of Unmanned Aerial Vehicle. | Qiuming Liu, Yichen Wang, Ying Wei, Lei Xie, Changjian Zhu, Ruoxuan Zhou |
| 2022 | VCIP | A Sparsity Analysis of Light Field Signal For Capturing Optimization of Multi-view Images. | Ying Wei, Changjian Zhu, Qiuming Liu |
| 2021 | EMNLP | MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. | Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin |
| 2021 | ICML | Meta-learning Hyperparameter Performance Prediction with Neural Processes. | Ying Wei, Peilin Zhao, Junzhou Huang |
| 2021 | ICML | 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 |
| 2020 | AAAI | Graph Few-Shot Learning via Knowledge Transfer. | Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li |
| 2020 | EMNLP | Learn to Cross-lingual Transfer with Meta Graph Learning Across Heterogeneous Languages. | Zheng Li, Mukul Kumar, William Headden, Bing Yin, Ying Wei, Yu Zhang, Qiang Yang |
| 2020 | ICIP | Scale-Invariant Siamese Network For Person Re-Identification. | Yunzhou Zhang, Weidong Shi, Shuangwei Liu, Jining Bao, Ying Wei |
| 2020 | KDD | TranSlider: Transfer Ensemble Learning from Exploitation to Exploration. | Kuo Zhong, Ying Wei, Chun Yuan, Haoli Bai, Junzhou Huang |
| 2020 | VCIP | A Discrete Cosine Model of Light Field Sampling for Improving Rendering Quality of Views. | Ying Wei, Changjian Zhu, You Yang, Yan Liu |
| 2020 | SDM | Fisher Deep Domain Adaptation. | Yinghua Zhang, Yu Zhang, Ying Wei, Kun Bai, Yangqiu Song, Qiang Yang |
| 2019 | AAAI | Exploiting Coarse-to-Fine Task Transfer for Aspect-Level Sentiment Classification. | Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li |
| 2019 | EMNLP | Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning. | Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, Qiang Yang |
| 2019 | ICIP | Combination of Appearance and License Plate Features for Vehicle Re-Identification. | Yanguang He, Chenhe Dong, Ying Wei |
| 2019 | ICML | Hierarchically Structured Meta-learning. | Huaxiu Yao, Ying Wei, Junzhou Huang, Zhenhui Li |
| 2019 | ISCAS | Adjustable Filter Bank Design for Hearing Aids System. | Tong Ma, Changpeng Shen, Ying Wei |
| 2019 | MICCAI | From Whole Slide Imaging to Microscopy: Deep Microscopy Adaptation Network for Histopathology Cancer Image Classification. | 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 |
| 2019 | WWW | Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction. | Huaxiu Yao, Yiding Liu, Ying Wei, Xianfeng Tang, Zhenhui Li |
| 2018 | AAAI | Transferable Contextual Bandit for Cross-Domain Recommendation. | Bo Liu, Ying Wei, Yu Zhang, Zhixian Yan, Qiang Yang |
| 2018 | AAAI | Hierarchical Attention Transfer Network for Cross-Domain Sentiment Classification. | Zheng Li, Ying Wei, Yu Zhang, Qiang Yang |
| 2018 | ICML | Transfer Learning via Learning to Transfer. | Ying Wei, Yu Zhang, Junzhou Huang, Qiang Yang |
| 2017 | IJCAI | Deep Neural Networks for High Dimension, Low Sample Size Data. | Bo Liu, Ying Wei, Yu Zhang, Qiang Yang |
| 2017 | IJCAI | End-to-End Adversarial Memory Network for Cross-domain Sentiment Classification. | Zheng Li, Yu Zhang, Ying Wei, Yuxiang Wu, Qiang Yang |
| 2016 | AAAI | Instilling Social to Physical: Co-Regularized Heterogeneous Transfer Learning. | Ying Wei, Yin Zhu, Cane Wing-ki Leung, Yangqiu Song, Qiang Yang |
| 2016 | KDD | Transfer Knowledge between Cities. | Ying Wei, Yu Zheng, Qiang Yang |
| 2014 | AMIA | Combining Heterogeneous Databases to Detect Adverse Drug Reaction. | Ying Li, Santiago Vilar, Ying Wei, Carol Friedman |
| 2014 | KDD | Scalable heterogeneous translated hashing. | Ying Wei, Yangqiu Song, Yi Zhen, Bo Liu, Qiang Yang |
| 2009 | ISCAS | Frequency-response Masking based Filter Bank for QRS Dection in Wearable Biomedical Devices. | Fei Zhang, Ying Wei, Yong Lian |
| 2008 | ISCAS | Complexity reduction for frequency-response masking filters using serial masking. | Ying Wei, Yong Lian |
| 2007 | DATE | Flexibility-oriented design methodology for reconfigurable DeltaSigma modulators. | Pengbo Sun, Ying Wei, Alex Doboli |
| 2006 | DAC | Systematic development of nonlinear analog circuit macromodels through successive operator composition and nonlinear model decoupling. | Ying Wei, Alex Doboli |
| 2006 | DATE | Systematic methodology for designing reconfigurable Delta-Sigma modulator topologies for multimode communication systems. | Ying Wei, Hua Tang, Alex Doboli |
| 2006 | ISCAS | Library of structural analog cell macromodels for design of continuous-time reconfigurable Delta Sigma modulators. | Ying Wei, Alex Doboli |
| 2006 | ISDA | An Optimal Level Sets Method for Lung Nodules Detection in CT Images. | Ying Wei, Xin-He Xu, Tong Jia, Da-Zhe Zhao |
| 2005 | DAC | Systematic development of analog circuit structural macromodels through behavioral model decoupling. | Ying Wei, Alex Doboli |
| 2005 | DATE | MINLP Based Topology Synthesis for Delta Sigma Modulators Optimized for Signal Path Complexity, Sensitivity and Power Consumption. | Hua Tang, Ying Wei, Alex Doboli |
| 2005 | ISMB | Prediction of active sites for protein structures from computed chemical properties. | Jaeju Ko, Leonel F. Murga, Ying Wei, Mary Jo Ondrechen |
| 2003 | IDEAL | Case-Based Reasoning: An Intelligent Approach Applied for Financial Crises Warning. | Ying Wei, Feng Li |