Xin Mu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 34

Top Topics

Text Classification

Nearest Neighborhood

Magnetic Resonance

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. ACL (Findings) (2024)
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. CoRR (2024)
Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. AAAI (2024)
Xiaoxu Han, Xin Mu, Jinghui Zhong
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks. CoRR (2024)
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR (2023)
Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng
Asymmetric Group Message Franking: Definitions & Constructions. IACR Cryptol. ePrint Arch. 2023 (2023)
Gongxian Zeng, Zhengan Huang, Yu Wang, Xin Mu, Cheng Zhang
Strongly nonoutsourceable scratch-off puzzles in blockchain. Soft Comput. 27 (17) (2023)
Changhao Jiang, Xuanyu Tian, Yanbin Li, Jiangjie Wu, Xin Mu, Lei Zhang, Yuyao Zhang
Self-Supervised High-Dimentional Magnetic Resonance Image Denoising Using Super-Resolved Single Noisy Image. ISBI (2023)
Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection. CoRR (2023)
Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. EMNLP (2023)
Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu
Model Provenance via Model DNA. CoRR (2023)
Xin Mu, Gongxian Zeng, Zhengan Huang
Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification. DASFAA (1) (2023)
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. AAAI (2023)
Zhengan Huang, Junzuo Lai, Gongxian Zeng, Xin Mu
Receiver selective opening security for identity-based encryption in the multi-challenge setting. Des. Codes Cryptogr. 91 (4) (2023)
Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng
Asymmetric Group Message Franking: Definitions and Constructions. EUROCRYPT (5) (2023)
Dan-Xuan Liu, Xin Mu, Chao Qian
Human Assisted Learning by Evolutionary Multi-Objective Optimization. AAAI (2023)
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
An Active Visible-Light Integrated Photonics Platform on 200-mm Si. OFC (2023)
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning. CoRR (2022)
Xin Mu, Ming Pang, Feida Zhu
Data Provenance via Differential Auditing. CoRR (2022)
Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu
Data Pricing and Data Asset Governance in the AI Era. KDD (2021)
Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
Multi-Instance Learning With Emerging Novel Class. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang, Xing Zhou
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit. ACL (3) (2019)
Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK (2019)
Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. ICDM (2019)
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
Unsupervised User Identity Linkage via Factoid Embedding. CoRR (2019)
Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
Social Stream Classification with Emerging New Labels. PAKDD (1) (2018)
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
Unsupervised User Identity Linkage via Factoid Embedding. ICDM (2018)
Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang
Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework. ICDCS (2017)
Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang
Large-scale point-of-interest category prediction using natural language processing models. IEEE BigData (2017)
Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees. IEEE Trans. Knowl. Data Eng. 29 (8) (2017)
Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI (2017)
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou
Cost-Effective Active Learning from Diverse Labelers. IJCAI (2017)
Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou
User Identity Linkage by Latent User Space Modelling. KDD (2016)
Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees. CoRR (2016)