Xin Mu

According to our database, Xin Mu authored at least 31 papers between 2016 and 2024.

Collaborative distances:

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

2024

Data Provenance via Differential Auditing.

Xin Mu, Ming Pang, Feida Zhu

IEEE Trans. Knowl. Data Eng., October, 2024

Multi-Designated Detector Watermarking for Language Models.

Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu

IACR Cryptol. ePrint Arch., 2024

HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks.

Xiaoxu Han, Xin Mu, Jinghui Zhong

CoRR, 2024

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.

Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

CoRR, 2024

Model Provenance via Model DNA.

Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.

Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu

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

EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection.

Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu

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

2023

Receiver selective opening security for identity-based encryption in the multi-challenge setting.

Zhengan Huang, Junzuo Lai, Gongxian Zeng, Xin Mu

Des. Codes Cryptogr., April, 2023

Strongly nonoutsourceable scratch-off puzzles in blockchain.

Gongxian Zeng, Zhengan Huang, Yu Wang, Xin Mu, Cheng Zhang

Soft Comput., 2023

Asymmetric Group Message Franking: Definitions & Constructions.

Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng

IACR Cryptol. ePrint Arch., 2023

Migrant Resettlement by Evolutionary Multi-objective Optimization.

Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang

CoRR, 2023

An Active Visible-Light Integrated Photonics Platform on 200-mm Si.

Wesley D. Sacher, Yiding Lin, Hong Chen, Saeed S. Azadeh, Zheng Yong, Xianshu Luo, Hongyao Chua, Jason C. C. Mak, Alperen Govdeli, Ankita Sharma, Jared C. Mikkelsen, Xin Mu, Andrei Stalmashonak, Guo-Qiang Lo, Joyce K. S. Poon

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Self-Supervised High-Dimentional Magnetic Resonance Image Denoising Using Super-Resolved Single Noisy Image.

Changhao Jiang, Xuanyu Tian, Yanbin Li, Jiangjie Wu, Xin Mu, Lei Zhang, Yuyao Zhang

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Asymmetric Group Message Franking: Definitions and Constructions.

Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng

Proceedings of the Advances in Cryptology - EUROCRYPT 2023, 2023

Controllable Contrastive Generation for Multilingual Biomedical Entity Linking.

Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification.

Xin Mu, Gongxian Zeng, Zhengan Huang

Proceedings of the Database Systems for Advanced Applications, 2023

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning.

Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Human Assisted Learning by Evolutionary Multi-Objective Optimization.

Dan-Xuan Liu, Xin Mu, Chao Qian

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Multi-Instance Learning With Emerging Novel Class.

Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2021

Data Pricing and Data Asset Governance in the AI Era.

Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2019

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes.

Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

AD-Link: An Adaptive Approach for User Identity Linkage.

Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit.

Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang, Xing Zhou

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Social Stream Classification with Emerging New Labels.

Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Unsupervised User Identity Linkage via Factoid Embedding.

Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees.

Xin Mu, Kai Ming Ting, Zhi-Hua Zhou

IEEE Trans. Knowl. Data Eng., 2017

Cost-Effective Active Learning from Diverse Labelers.

Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework.

Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Large-scale point-of-interest category prediction using natural language processing models.

Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Streaming Classification with Emerging New Class by Class Matrix Sketching.

Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

User Identity Linkage by Latent User Space Modelling.

Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016