Zhongwei Wan
Zhongwei Wan
The Ohio State University, PhD student (2023.9-current)
Verified email at - Homepage
Cited by
Cited by
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
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 36, 2024
Large scale many-objective optimization driven by distributional adversarial networks
Z Liang, Y Li, Z Wan
Technical report, 2020
Etp: Learning transferable ecg representations via ecg-text pre-training
C Liu*, Z Wan*, S Cheng, M Zhang, R Arcucci
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 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
Under review by IEEE Internet Computing, 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 42 (2), 1-26, 2023
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
Self-consistent reasoning for solving math word problems
J Xiong, Z Wan, X Hu, M Yang, C Li
arXiv preprint arXiv:2210.15373, 2022
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
Svd-llm: Truncation-aware singular value decomposition for large language model compression
X Wang, Y Zheng, Z Wan, M Zhang
Under review, 2024
Many-objective estimation of distribution optimization algorithm based on WGAN-GP
Z Liang, Y Li, Z Wan
Technical report, 2020
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
Text Classification: A Perspective of Deep Learning Methods
Z Wan
Technical report, 2020
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
Under review, 2024
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
Under review, 2024
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, ...
Under review, 2024
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
K Zheng, Y Lu, Z Zhang, Z Wan, Y Ma, M Zitnik, T Fu
International Conference on Machine Learning (ICML) 2024 AI4Science workshop, 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
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