Learngene: From Open-World to Your Learning Task. - Qiu-Feng Wang 002; Xin Geng 001; Shuxia Lin; Shiyu Xia; Lei Qi 001; Ning Xu 009 (AAAI, 2022)

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Xin Geng 001 (IJCAI, 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 (MSN, 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)

Reliable Sensing Data Fusion Through Robust Multiview Prototype Learning. - Qing Tian 001; Shiyu Xia; Meng Cao 005; Keyang Cheng (IEEE Trans. Ind. Informatics, 2022)

Towards Effective Visual Representations for Partial-Label Learning. - Shiyu Xia; Jiaqi Lv; Ning Xu 009; Gang Niu 001; Xin Geng 001 (CVPR, 2023)

Building Variable-Sized Models via Learngene Pool. - Boyu Shi; Shiyu Xia; Xu Yang 021; Haokun Chen; Zhiqiang Kou; Xin Geng 001 (AAAI, 2024)

Transformer as Linear Expansion of Learngene. - Shiyu Xia; Miaosen Zhang; Xu Yang 021; Ruiming Chen; Haokun Chen; Xin Geng 001 (AAAI, 2024)

Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models. - Shiyu Xia; Wenxuan Zhu; Xu Yang 021; Xin Geng 001 (IJCAI, 2024)

Convolution-Based Vth Shift Prediction and the New 9T2C Pixel Circuit in LTPS TFT AMOLED. - Shiyu Xia; Longda Zhou; Kewei Wang 008; Xiaobin Fan; Yongkang Xue; Qi Shan; Hannian Wang; Pengpeng Ren; Zhigang Ji; Ru Huang 001 (IRPS, 2024)

What Makes Partial-Label Learning Algorithms Effective? - Jiaqi Lv; Yangfan Liu; Shiyu Xia; Ning Xu 009; Miao Xu 001; Gang Niu 001; Min-Ling Zhang; Masashi Sugiyama; Xin Geng 001 (NeurIPS, 2024)

Initializing Variable-sized Vision Transformers from Learngene with Learnable Transformation. - Shiyu Xia; Yuankun Zu; Xu Yang 021; Xin Geng 001 (NeurIPS, 2024)

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. - Shiyu Xia; Junyu Xiong; Haoyu Dong 001; Jianbo Zhao; Yuzhang Tian; Mengyu Zhou; Yeye He; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. - Yuzhang Tian; Jianbo Zhao; Haoyu Dong 001; Junyu Xiong; Shiyu Xia; Mengyu Zhou; Yun Lin; José Cambronero; Yeye He; Shi Han; Dongmei Zhang 001 (CoRR, 2024)

Inheriting Generalized Learngene for Efficient Knowledge Transfer across Multiple Tasks. - Yuankun Zu; Shiyu Xia; Xu Yang; Qiufeng Wang; Han Zhang; Xin Geng 001 (AAAI, 2025)

Multi-task deep convolutional neural network for weed detection and navigation path extraction. - Yongda Lin; Shiyu Xia; Lingxiao Wang; Baiyu Qiao; Hu Han 005; Linhui Wang; Xiongkui He; Yajia Liu (Comput. Electron. Agric., 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, 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, 2025)

Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge. - Ruiming Chen; Junming Yang; Shiyu Xia; Xu Yang 021; Jing Wang 113; Xin Geng 001 (CoRR, 2025)