Song Xia

According to our database, Song Xia authored at least 24 papers between 2006 and 2025.

Collaborative distances:

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

2025

MTL-UE: Learning to Learn Nothing for Multi-Task Learning.

Yi Yu, Song Xia, Siyuan Yang, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, May, 2025

Open-set Anomaly Segmentation in Complex Scenarios.

Song Xia, Yi Yu, Henghui Ding, Wenhan Yang, Shifei Liu, Alex C. Kot, Xudong Jiang

CoRR, April, 2025

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

CoRR, April, 2025

Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation.

Yi Yu, Song Xia, Xun Lin, Chenqi Kong, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

IEEE Trans. Inf. Forensics Secur., 2025

Normalized Protein-Ligand Distance Likelihood Score for End-to-End Blind Docking and Virtual Screening.

Song Xia, Yaowen Gu, Yingkai Zhang

J. Chem. Inf. Model., 2025

Unified Deep Learning of Molecular and Protein Language Representations with T5ProtChem.

Thomas Kelly, Song Xia, Jieyu Lu, Yingkai Zhang

J. Chem. Inf. Model., 2025

Bioactivity Deep Learning for Complex Structure-Free Compound-Protein Interaction Prediction.

Yaowen Gu, Song Xia, Qi Ouyang, Yingkai Zhang

J. Chem. Inf. Model., 2025

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems.

Song Xia, Yi Yu, Wenhan Yang, Meiwen Ding, Zhuo Chen, Ling-Yu Duan, Alex C. Kot, Xudong Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger.

Yi Yu, Song Xia, Xun Lin, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FAWA: Fast Adversarial Watermark Attack.

Hao Jiang, Jintao Yang, Guang Hua, Lixia Li, Ying Wang, Shenghui Tu, Song Xia

IEEE Trans. Computers, February, 2024

Screening chronic kidney disease through deep learning utilizing ultra-wide-field fundus images.

Xinyu Zhao, Xingwang Gu, Lihui Meng, Yongwei Chen, Qing Zhao, Shiyu Cheng, Wenfei Zhang, Tiantian Cheng, Chuting Wang, Zhengming Shi, Shengyin Jiao, Changlong Jiang, Guofang Jiao, Da Teng, Xiaolei Sun, Bilei Zhang, Yakun Li, Huiqin Lu, Changzheng Chen, Hao Zhang, Ling Yuan, Chang Su, Han Zhang, Song Xia, Anyi Liang, Mengda Li, Dan Zhu, Meirong Xue, Dawei Sun, Qiuming Li, Ziwu Zhang, Donglei Zhang, Hongbin Lv, Rishet Ahmat, Zilong Wang, Charumathi Sabanayagam, Xiaowei Ding, Tien Yin Wong, Youxin Chen

npj Digit. Medicine, 2024

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing.

Song Xia, Yu Yi, Xudong Jiang, Henghui Ding

CoRR, 2024

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

Chenqi Kong, Anwei Luo, Song Xia, Yi Yu, Haoliang Li, Alex C. Kot

CoRR, 2024

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.

Xun Lin, Yi Yu, Song Xia, Jue Jiang, Haoran Wang, Zitong Yu, Yizhong Liu, Ying Fu, Shuai Wang, Wenzhong Tang, Alex C. Kot

CoRR, 2024

Transferable Adversarial Attacks on SAM and Its Downstream Models.

Song Xia, Wenhan Yang, Yi Yu, Xun Lin, Henghui Ding, Lingyu Duan, Xudong Jiang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders.

Yi Yu, Yufei Wang, Song Xia, Wenhan Yang, Shijian Lu, Yap-Peng Tan, Alex C. Kot

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

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing.

Song Xia, Yi Yu, Xudong Jiang, Henghui Ding

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

Accurate Prediction of Aqueous Free Solvation Energies Using 3D Atomic Feature-Based Graph Neural Network with Transfer Learning.

Dongdong Zhang, Song Xia, Yingkai Zhang

J. Chem. Inf. Model., 2022

2021

Dataset Construction to Explore Chemical Space with 3D Geometry and Deep Learning.

Jianing Lu, Song Xia, Jieyu Lu, Yingkai Zhang

J. Chem. Inf. Model., 2021

2019

AI Enhanced Automatic Response System for Resisting Network Threats.

Song Xia, Meikang Qiu, Meiqin Liu, Ming Zhong, Hui Zhao

Proceedings of the Smart Computing and Communication - 4th International Conference, 2019

An adversarial reinforcement learning based system for cyber security.

Song Xia, Meikang Qiu, Hao Jiang

Proceedings of the IEEE International Conference on Smart Cloud, 2019

Internet Advertising Investment Analysis Based on Beijing and Jinhua Signaling Data.

Song Xia, Hao Jiang, Yi Zhang, Duo Peng

Proceedings of the 2019 IEEE International Conference on Computational Science and Engineering, 2019

2008

Comparison of Two Approaches on Terrain Change Detection and Updating.

Song Xia, Huanzhuo Ye, Laixing Liu

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

2006

Procedure and algorithm of 3D reconstruction of large-scale ancient architecture.

Song Xia, Yixuan Zhu, Xin Li

Proceedings of the Conference on Three-Dimensional Image Capture and Applications VII, 2006