Shiyu Xia

According to our database, Shiyu Xia authored at least 26 papers between 2022 and 2026.

Collaborative distances:

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

2026

Functional gradient alteration and structural remodeling in postpartum women.

Shiyu Xia, Xinyu Zhao, Bin Lv, Yuanyuan Gan, Yukun Kang, Jiang Long, Fang Liu, Xiao Hu, Guolin He, Haoyang Xing, Bochao Cheng

NeuroImage, 2026

Corrigendum to "Multi-task deep convolutional neural network for weed detection and navigation path extraction" [Comput. Electron. Agric. 229 (2025) 109776].

Yongda Lin, Lingxiao Wang, Shiyu Xia, Baiyu Qiao, Hu Han, Linhui Wang, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2026

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.

Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Towards Understanding Feature Learning in Parameter Transfer.

Hua Yuan, Xuran Meng, Qiufeng Wang, Shiyu Xia, Ning Xu, Xu Yang, Jing Wang, Xin Geng, Yong Rui

CoRR, September, 2025

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.

Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Jing Wang, Xin Geng

CoRR, June, 2025

Towards Video to Piano Music Generation with Chain-of-Perform Support Benchmarks.

Chang Liu, Haomin Zhang, Shiyu Xia, Zihao Chen, Chaofan Ding, Xin Yue, Huizhe Chen, Xinhan Di

CoRR, May, 2025

Towards Film-Making Production Dialogue, Narration, Monologue Adaptive Moving Dubbing Benchmarks.

Chaoyi Wang, Junjie Zheng, Zihao Chen, Shiyu Xia, Chaofan Ding, Xiaohao Zhang, Xi Tao, Xiaoming He, Xinhan Di

CoRR, May, 2025

Multi-task deep convolutional neural network for weed detection and navigation path extraction.

Yongda Lin, Shiyu Xia, Lingxiao Wang, Baiyu Qiao, Hu Han, Linhui Wang, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2025

Low-altitude remote sensing and deep learning-based canopy detection method for the navigation of orchard unmanned ground vehicles.

Yongda Lin, Xiaofei Song, Weiming Xiao, Dongdong Kuang, Shiyu Xia, Honggen Chang, Supakorn Wongsuk, Xiongkui He, Yajia Liu

Comput. Electron. Agric., 2025

SketchMaster: From Rough Lines to Photorealistic Scenes with Adaptive Guidance.

Zhifeng Xie, Shiyu Xia, Bolun Zhang, Xiaoming He, Mengtian Li

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales.

Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks.

Yuankun Zu, Shiyu Xia, Xu Yang, Qiufeng Wang, Han Zhang, Xin Geng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models.

Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang

CoRR, 2024

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities.

Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang

CoRR, 2024

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation.

Shiyu Xia, Yuankun Zu, Xu Yang, Xin Geng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

What Makes Partial-Label Learning Algorithms Effective?

Jiaqi Lv, Yangfan Liu, Shiyu Xia, Ning Xu, Miao Xu, Gang Niu, Min-Ling Zhang, Masashi Sugiyama, Xin Geng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Convolution-Based Vth Shift Prediction and the New 9T2C Pixel Circuit in LTPS TFT AMOLED.

Shiyu Xia, Longda Zhou, Kewei Wang, Xiaobin Fan, Yongkang Xue, Qi Shan, Hannian Wang, Pengpeng Ren, Zhigang Ji, Ru Huang

Proceedings of the IEEE International Reliability Physics Symposium, 2024

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models.

Shiyu Xia, Wenxuan Zhu, Xu Yang, Xin Geng

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Transformer as Linear Expansion of Learngene.

Shiyu Xia, Miaosen Zhang, Xu Yang, Ruiming Chen, Haokun Chen, Xin Geng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Building Variable-Sized Models via Learngene Pool.

Boyu Shi, Shiyu Xia, Xu Yang, Haokun Chen, Zhiqiang Kou, Xin Geng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Towards Effective Visual Representations for Partial-Label Learning.

Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning.

Qing Tian, Shiyu Xia, Meng Cao, Keyang Cheng

IEEE Trans. Ind. Informatics, 2022

Spatio-Temporal Dynamics and Driving Forces of Multi-Scale CO2 Emissions by Integrating DMSP-OLS and NPP-VIIRS Data: A Case Study in Beijing-Tianjin-Hebei, China.

Shiyu Xia, Huaiyong Shao, Hao Wang, Wei Xian, Qiufang Shao, Ziqiang Yin, Jiaguo Qi

Remote. Sens., 2022

Intelligent rush repair of unmanned distribution network based on deep reinforcement learning.

Yue Zhao, Yang Chuan, Shi Pu, Xuwen Han, Shiyu Xia, Yanqi Xie

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.

Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learngene: From Open-World to Your Learning Task.

Qiu-Feng Wang, Xin Geng, Shuxia Lin, Shiyu Xia, Lei Qi, Ning Xu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022