Zhongwei Wan

According to our database, Zhongwei Wan authored at least 29 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Evolver: Chain-of-Evolution Prompting to Boost Large Multimodal Models for Hateful Meme Detection.

Jinfa Huang, Jinsheng Pan, Zhongwei Wan, Hanjia Lyu, Jiebo Luo

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation.

Zhongwei Wan, Xin Liu, Benyou Wang, Jiezhong Qiu, Boyu Li, Ting Guo, Guangyong Chen, Yang Wang

ACM Trans. Inf. Syst., March, 2024

Efficient Large Language Models: A Survey.

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Trans. Mach. Learn. Res., 2024

The Internet of Things in the Era of Generative AI: Vision and Challenges.

Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari

IEEE Internet Comput., 2024

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?

Canyu Chen, Jian Yu, Shan Chen, Che Liu, Zhongwei Wan, Danielle S. Bitterman, Fei Wang, Kai Shu

CoRR, 2024

Autoregressive Models in Vision: A Survey.

Jing Xiong, Gongye Liu, Lun Huang, Chengyue Wu, Taiqiang Wu, Yao Mu, Yuan Yao, Hui Shen, Zhongwei Wan, Jinfa Huang, Chaofan Tao, Shen Yan, Huaxiu Yao, Lingpeng Kong, Hongxia Yang, Mi Zhang, Guillermo Sapiro, Jiebo Luo, Ping Luo, Ngai Wong

CoRR, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.

Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

CoRR, 2024

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?

Che Liu, Zhongwei Wan, Haozhe Wang, Yinda Chen, Talha Qaiser, Chen Jin, Fariba Yousefi, Nikolay Burlutskiy, Rossella Arcucci

CoRR, 2024

UNComp: Uncertainty-Aware Long-Context Compressor for Efficient Large Language Model Inference.

Jing Xiong, Jianghan Shen, Fanghua Ye, Chaofan Tao, Zhongwei Wan, Jianqiao Lu, Xun Wu, Chuanyang Zheng, Zhijiang Guo, Lingpeng Kong, Ngai Wong

CoRR, 2024

UncertaintyRAG: Span-Level Uncertainty Enhanced Long-Context Modeling for Retrieval-Augmented Generation.

Zixuan Li, Jing Xiong, Fanghua Ye, Chuanyang Zheng, Xun Wu, Jianqiao Lu, Zhongwei Wan, Xiaodan Liang, Chengming Li, Zhenan Sun, Lingpeng Kong, Ngai Wong

CoRR, 2024

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion.

Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang

CoRR, 2024

Enhancing Test Time Adaptation with Few-shot Guidance.

Siqi Luo, Yi Xin, Yuntao Du, Zhongwei Wan, Tao Tan, Guangtao Zhai, Xiaohong Liu

CoRR, 2024

Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies.

Chaofan Tao, Qian Liu, Longxu Dou, Niklas Muennighoff, Zhongwei Wan, Ping Luo, Min Lin, Ngai Wong

CoRR, 2024

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang

CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.

Che Liu, Zhongwei Wan, Yuqi Wang, Hui Shen, Haozhe Wang, Kangyu Zheng, Mi Zhang, Rossella Arcucci

CoRR, 2024

Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?

Kangyu Zheng, Yingzhou Lu, Zaixi Zhang, Zhongwei Wan, Yao Ma, Marinka Zitnik, Tianfan Fu

CoRR, 2024

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang

CoRR, 2024

IoT in the Era of Generative AI: Vision and Challenges.

Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari

CoRR, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.

Che Liu, Zhongwei Wan, Cheng Ouyang, Anand Shah, Wenjia Bai, Rossella Arcucci

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.

Che Liu, Zhongwei Wan, Sibo Cheng, Mi Zhang, Rossella Arcucci

Proceedings of the IEEE International Conference on Acoustics, 2024

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection.

Zhihong Zhu, Kefan Shen, Zhaorun Chen, Yunyan Zhang, Yuyan Chen, Xiaoqi Jiao, Zhongwei Wan, Shaorong Xie, Wei Liu, Xian Wu, Yefeng Zheng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.

Zhongwei Wan, Ziang Wu, Che Liu, Jinfa Huang, Zhihong Zhu, Peng Jin, Longyue Wang, Li Yuan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Text Classification: A Perspective of Deep Learning Methods.

Zhongwei Wan

CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.

Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Self-consistent Reasoning For Solving Math Word Problems.

Jing Xiong, Zhongwei Wan, Xiping Hu, Min Yang, Chengming Li

CoRR, 2022

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks.

Zhongwei Wan, Yichun Yin, Wei Zhang, Jiaxin Shi, Lifeng Shang, Guangyong Chen, Xin Jiang, Qun Liu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2020

Many-Objective Estimation of Distribution Optimization Algorithm Based on WGAN-GP.

Zhenyu Liang, Yunfan Li, Zhongwei Wan

CoRR, 2020

Large Scale Many-Objective Optimization Driven by Distributional Adversarial Networks.

Zhenyu Liang, Yunfan Li, Zhongwei Wan

CoRR, 2020