| Efficient large language models: A survey Z Wan, X Wang, C Liu, S Alam, Y Zheng, Z Qu, S Yan, Y Zhu, Q Zhang, ... Transactions on Machine Learning Research (TMLR-2024), 2024 | 151 | 2024 |
| Med-unic: Unifying cross-lingual medical vision-language pre-training by diminishing bias Z Wan, C Liu, M Zhang, J Fu, B Wang, S Cheng, L Ma, C Quilodrán-Casas, ... Advances in Neural Information Processing Systems (NeurIPS-2023), 2024 | 70 | 2024 |
| Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies C Tao, Q Liu, L Dou, N Muennighoff, Z Wan, P Luo, M Lin, N Wong Advances in Neural Information Processing Systems (NeurIPS-2024), 2024 | 32 | 2024 |
| Etp: Learning transferable ecg representations via ecg-text pre-training C Liu*, Z Wan*, S Cheng, M Zhang, R Arcucci International Conference on Acoustics, Speech, & Signal Processing (ICASSP 2024), 2024 | 30 | 2024 |
| Svd-llm: Truncation-aware singular value decomposition for large language model compression X Wang, Y Zheng, Z Wan, M Zhang International Conference on Learning Representations (ICLR-2025), 2025 | 29 | 2025 |
| LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference Z Wan, Z Wu, C Liu, J Huang, Z Zhu, P Jin, L Wang, L Yuan Empirical Methods in Natural Language Processing (EMNLP-2024- Findings), 2024 | 29 | 2024 |
| Iot in the era of generative ai: Vision and challenges X Wang, Z Wan, A Hekmati, M Zong, S Alam, M Zhang, B Krishnamachari IEEE Internet Computing Magazine (IC-2024), 2024 | 29 | 2024 |
| Zero-shot ecg classification with multimodal learning and test-time clinical knowledge enhancement C Liu, Z Wan, C Ouyang, A Shah, W Bai, R Arcucci International Conference on Machine Learning (ICML-2024), 2024 | 26 | 2024 |
| Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation Z Wan, X Liu, B Wang, J Qiu, B Li, T Guo, G Chen, Y Wang ACM Transactions on Information Systems (TOIS-2023), 2023 | 23 | 2023 |
| MEIT: Multi-Modal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation Z Wan, C Liu, X Wang, C Tao, H Shen, Z Peng, J Fu, R Arcucci, H Yao, ... Under review, 2024 | 19* | 2024 |
| Large scale many-objective optimization driven by distributional adversarial networks Z Liang, Y Li, Z Wan Technical report, 2020 | 19 | 2020 |
| Self-consistent reasoning for solving math word problems J Xiong, Z Wan, X Hu, M Yang, C Li Technical report, 2022 | 14 | 2022 |
| Text classification: A perspective of deep learning methods Z Wan Technical report, 2020 | 14 | 2020 |
| Efficient Large Foundation Model Inference: A Perspective From Model and System Co-Design D Liu, Z Lai, Y Wang, J Wu, Y Yu, Z Wan, B Lengerich, YN Wu Technical report:https://arxiv.org/abs/2409.01990v2, 2024 | 12* | 2024 |
| G-map: general memory-augmented pre-trained language model for domain tasks Z Wan, Y Yin, W Zhang, J Shi, L Shang, G Chen, X Jiang, Q Liu Empirical Methods in Natural Language Processing (EMNLP-2022), 2022 | 12 | 2022 |
| D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models Z Wan, X Wu, Y Zhang, Y Xin, C Tao, Z Zhu, X Wang, S Luo, J Xiong, ... International Conference on Learning Representations (ICLR-2025), 2025 | 11 | 2025 |
| Many-objective estimation of distribution optimization algorithm based on WGAN-GP Z Liang, Y Li, Z Wan Technical report, 2020 | 7 | 2020 |
| UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation Z Li, J Xiong, F Ye, C Zheng, X Wu, J Lu, Z Wan, X Liang, C Li, Z Sun, ... Under review, 2024 | 4 | 2024 |
| Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion H Shen, Z Wan, X Wang, M Zhang ECCV 2024 Workshop on Computational Aspects of Deep Learning (🏆Best Paper Award), 2024 | 4 | 2024 |
| Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images C Liu*, Z Wan*, Y Wang, H Shen, H Wang, K Zheng, M Zhang, R Arcucci Under review, 2024 | 4 | 2024 |
Mi ZhangAssociate Professor, Director of AIoT and MLSys Lab, The Ohio State UniversityVerified email at osu.edu