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2020 – today
- 2024
[j5]Xin Mu
, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. IEEE Trans. Knowl. Data Eng. 36(10): 5066-5079 (2024)- [c21]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: 21438-21445 - [c20]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: 13333-13348 - [c19]Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu:
Model Provenance via Model DNA. ECAI 2024: 1043-1050 - [i12]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 abs/2401.00793 (2024) - [i11]Xiaoxu Han, Xin Mu, Jinghui Zhong:
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks. CoRR abs/2407.07747 (2024) - [i10]Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu:
Multi-Designated Detector Watermarking for Language Models. CoRR abs/2409.17518 (2024) - [i9]Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu:
Multi-Designated Detector Watermarking for Language Models. IACR Cryptol. ePrint Arch. 2024: 1492 (2024) - 2023
- [j4]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): 1233-1259 (2023) - [j3]Gongxian Zeng, Zhengan Huang, Yu Wang, Xin Mu, Cheng Zhang:
Strongly nonoutsourceable scratch-off puzzles in blockchain. Soft Comput. 27(17): 11941-11960 (2023) - [c18]Dan-Xuan Liu, Xin Mu, Chao Qian:
Human Assisted Learning by Evolutionary Multi-Objective Optimization. AAAI 2023: 12453-12461 - [c17]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: 14056-14064 - [c16]Xin Mu, Gongxian Zeng, Zhengan Huang:
Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification. DASFAA (1) 2023: 719-734 - [c15]Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang:
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. EMNLP 2023: 5742-5753 - [c14]Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng:
Asymmetric Group Message Franking: Definitions and Constructions. EUROCRYPT (5) 2023: 67-97 - [c13]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: 1-5 - [c12]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: 1-3 - [i8]Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu:
Model Provenance via Model DNA. CoRR abs/2308.02121 (2023) - [i7]Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang:
Migrant Resettlement by Evolutionary Multi-objective Optimization. CoRR abs/2310.08896 (2023) - [i6]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 abs/2312.12049 (2023) - [i5]Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng:
Asymmetric Group Message Franking: Definitions & Constructions. IACR Cryptol. ePrint Arch. 2023: 332 (2023) - 2022
- [i4]Xin Mu, Ming Pang, Feida Zhu:
Data Provenance via Differential Auditing. CoRR abs/2209.01538 (2022) - [i3]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 abs/2212.03496 (2022) - 2021
- [j2]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): 2109-2120 (2021) - [c11]Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu:
Data Pricing and Data Asset Governance in the AI Era. KDD 2021: 4058-4059
2010 – 2019
- 2019
- [c10]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: 87-92 - [c9]Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK 2019: 183-190 - [c8]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: 970-975 - [i2]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. CoRR abs/1901.06648 (2019) - 2018
- [c7]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. ICDM 2018: 1338-1343 - [c6]Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou:
Social Stream Classification with Emerging New Labels. PAKDD (1) 2018: 16-28 - 2017
- [j1]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): 1605-1618 (2017) - [c5]Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI 2017: 2373-2379 - [c4]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: 1027-1032 - [c3]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: 966-976 - [c2]Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou:
Cost-Effective Active Learning from Diverse Labelers. IJCAI 2017: 1879-1885 - 2016
- [c1]Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou:
User Identity Linkage by Latent User Space Modelling. KDD 2016: 1775-1784 - [i1]Xin Mu, Kai Ming Ting, Zhi-Hua Zhou:
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees. CoRR abs/1605.09131 (2016)
Coauthor Index
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last updated on 2024-10-28 20:11 CET by the dblp team
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