Prati
Zhongwei Wan
Zhongwei Wan
The Ohio State University, PhD student (2023.9-current)
Potvrđena adresa e-pošte na osu.edu - Početna stranica
Naslov
Citirano
Citirano
Godina
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
1412024
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
662024
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
292024
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
272024
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
262025
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
262024
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
242024
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
242024
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
222023
Large scale many-objective optimization driven by distributional adversarial networks
Z Liang, Y Li, Z Wan
Technical report, 2020
192020
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
17*2024
Text classification: A perspective of deep learning methods
Z Wan
Technical report, 2020
142020
Self-consistent reasoning for solving math word problems
J Xiong, Z Wan, X Hu, M Yang, C Li
Technical report, 2022
132022
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
122022
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
10*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, ...
International Conference on Learning Representations (ICLR-2025), 2025
92025
Many-objective estimation of distribution optimization algorithm based on WGAN-GP
Z Liang, Y Li, Z Wan
Technical report, 2020
72020
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
42024
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
42024
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. arXiv 2023
Z Wan, C Liu, M Zhang, J Fu, B Wang, S Cheng, L Ma, C Quilodrán-Casas, ...
arXiv preprint arXiv:2305.19894, 2023
42023
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