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ORCIDZhongwei Wan
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2020 – today
- 2024
[j2]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024)- [j1]Zhongwei Wan
, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Trans. Inf. Syst. 42(2): 58:1-58:26 (2024) - [c4]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training. ICASSP 2024: 8230-8234 - [c3]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. ICML 2024 - [i21]Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari:
IoT in the Era of Generative AI: Vision and Challenges. CoRR abs/2401.01923 (2024) - [i20]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i19]Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci:
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement. CoRR abs/2403.06659 (2024) - [i18]Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang:
SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression. CoRR abs/2403.07378 (2024) - [i17]Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu:
Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate? CoRR abs/2406.03403 (2024) - [i16]Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci:
Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images. CoRR abs/2406.07146 (2024) - [i15]Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang:
D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models. CoRR abs/2406.13035 (2024) - [i14]Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan:
LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference. CoRR abs/2406.18139 (2024) - [i13]Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong:
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies. CoRR abs/2407.13623 (2024) - [i12]Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo:
Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection. CoRR abs/2407.21004 (2024) - [i11]Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu:
Enhancing Test Time Adaptation with Few-shot Guidance. CoRR abs/2409.01341 (2024) - [i10]Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang:
Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion. CoRR abs/2409.09808 (2024) - 2023
- [c2]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [i9]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i8]Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci:
ETP: Learning Transferable ECG Representations via ECG-Text Pre-training. CoRR abs/2309.07145 (2023) - [i7]Zhongwei Wan:
Text Classification: A Perspective of Deep Learning Methods. CoRR abs/2309.13761 (2023) - [i6]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023) - 2022
- [c1]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. EMNLP 2022: 6585-6597 - [i5]Zhongwei Wan, Benyou Wang, Xin Liu, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang:
Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation. CoRR abs/2209.11461 (2022) - [i4]Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li:
Self-consistent Reasoning For Solving Math Word Problems. CoRR abs/2210.15373 (2022) - [i3]Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu:
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks. CoRR abs/2212.03613 (2022) - 2020
- [i2]Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks. CoRR abs/2003.07013 (2020) - [i1]Zhenyu Liang, Yunfan Li, Zhongwei Wan:
Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP. CoRR abs/2003.08295 (2020)
Coauthor Index
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