Xin Mu

44 papers A* 10A 2Journal 22Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Morphological Manipulation of Particle Cluster Using Ultrasonic Phased Array System and Microscopic Vision.
IEEE Robotics Autom. Lett.
Xin Mu, Qingyi Lu, Mingyue Wang, Song Liu
2025 J jnl
Discovering Mathematical Equations with Diffusion Language Model.
CoRR
Xiaoxu Han, Chengzhen Ning, Jinghui Zhong, Fubiao Yang, Yu Wang, Xin Mu
2025 — conf
Flip-Chip Bonded 450-nm InGaN Laser Diodes in a Foundry Fabricated Visible-Light Silicon Photonics Platform.
OFC
Xin Mu, Frank Weiss, Hongyao Chua, Robert Lawrowski, Jared C. Mikkelsen, John N. Straguzzi, Hannes Wahn, Joyce K. S. Poon, Guo-Qiang Lo, Mariel Jama, Wesley D. Sacher
2025 J jnl
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks.
IEEE Trans. Artif. Intell.
Xiaoxu Han, Xin Mu, Jinghui Zhong
2025 J jnl
Migrant Resettlement by Evolutionary Multiobjective Optimization.
IEEE Trans. Artif. Intell.
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2025 J jnl
Transformer-Assisted Genetic Programming for Symbolic Regression [Research Frontier].
IEEE Comput. Intell. Mag.
Xiaoxu Han, Jinghui Zhong, Zhitong Ma, Xin Mu, Nikola Gligorovski
2024 J jnl
Data Provenance via Differential Auditing.
IEEE Trans. Knowl. Data Eng.
Xin Mu, Ming Pang, Feida Zhu
2024 A* conf
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection.
AAAI
Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
2024 J jnl
HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks.
CoRR
Xiaoxu Han, Xin Mu, Jinghui Zhong
2024 A conf
Model Provenance via Model DNA.
ECAI
Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu
2024 J jnl
Multi-Designated Detector Watermarking for Language Models.
CoRR
Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu
2024 J jnl
Multi-Designated Detector Watermarking for Language Models.
IACR Cryptol. ePrint Arch.
Zhengan Huang, Gongxian Zeng, Xin Mu, Yu Wang, Yue Yu
2024 — conf
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
ACL (Findings)
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 J jnl
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2023 A* conf
A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning.
AAAI
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
2023 — conf
An Active Visible-Light Integrated Photonics Platform on 200-mm Si.
OFC
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
2023 J jnl
Asymmetric Group Message Franking: Definitions & Constructions.
IACR Cryptol. ePrint Arch.
Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng
2023 — conf
Asymmetric Group Message Franking: Definitions and Constructions.
EUROCRYPT (5)
Junzuo Lai, Gongxian Zeng, Zhengan Huang, Siu Ming Yiu, Xin Mu, Jian Weng
2023 A* conf
Controllable Contrastive Generation for Multilingual Biomedical Entity Linking.
EMNLP
Tiantian Zhu, Yang Qin, Qingcai Chen, Xin Mu, Changlong Yu, Yang Xiang
2023 J jnl
EncryIP: A Practical Encryption-Based Framework for Model Intellectual Property Protection.
CoRR
Xin Mu, Yu Wang, Zhengan Huang, Junzuo Lai, Yehong Zhang, Hui Wang, Yue Yu
2023 — conf
Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification.
DASFAA (1)
Xin Mu, Gongxian Zeng, Zhengan Huang
2023 A* conf
Human Assisted Learning by Evolutionary Multi-Objective Optimization.
AAAI
Dan-Xuan Liu, Xin Mu, Chao Qian
2023 J jnl
Migrant Resettlement by Evolutionary Multi-objective Optimization.
CoRR
Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang
2023 J jnl
Model Provenance via Model DNA.
CoRR
Xin Mu, Yu Wang, Yehong Zhang, Jiaqi Zhang, Hui Wang, Yang Xiang, Yue Yu
2023 J jnl
Receiver selective opening security for identity-based encryption in the multi-challenge setting.
Des. Codes Cryptogr.
Zhengan Huang, Junzuo Lai, Gongxian Zeng, Xin Mu
2023 — conf
Self-Supervised High-Dimentional Magnetic Resonance Image Denoising Using Super-Resolved Single Noisy Image.
ISBI
Changhao Jiang, Xuanyu Tian, Yanbin Li, Jiangjie Wu, Xin Mu, Lei Zhang, Yuyao Zhang
2023 J jnl
Strongly nonoutsourceable scratch-off puzzles in blockchain.
Soft Comput.
Gongxian Zeng, Zhengan Huang, Yu Wang, Xin Mu, Cheng Zhang
2022 J jnl
A Generative Approach for Script Event Prediction via Contrastive Fine-tuning.
CoRR
Fangqi Zhu, Jun Gao, Changlong Yu, Wei Wang, Chen Xu, Xin Mu, Min Yang, Ruifeng Xu
2022 J jnl
Data Provenance via Differential Auditing.
CoRR
Xin Mu, Ming Pang, Feida Zhu
2021 A* conf
Data Pricing and Data Asset Governance in the AI Era.
KDD
Jian Pei, Feida Zhu, Zicun Cong, Xuan Luo, Huiwen Liu, Xin Mu
2021 J jnl
Multi-Instance Learning With Emerging Novel Class.
IEEE Trans. Knowl. Data Eng.
Xiu-Shen Wei, Han-Jia Ye, Xin Mu, Jianxin Wu, Chunhua Shen, Zhi-Hua Zhou
2019 — conf
AD-Link: An Adaptive Approach for User Identity Linkage.
ICBK
Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
2019 A* conf
Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes.
ICDM
Xin-Qiang Cai, Peng Zhao, Kai-Ming Ting, Xin Mu, Yuan Jiang
2019 — conf
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit.
ACL (3)
Liqun Liu, Funan Mu, Pengyu Li, Xin Mu, Jing Tang, Xingsheng Ai, Ran Fu, Lifeng Wang, Xing Zhou
2019 J jnl
Unsupervised User Identity Linkage via Factoid Embedding.
CoRR
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
2018 — conf
Social Stream Classification with Emerging New Labels.
PAKDD (1)
Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
2018 A* conf
Unsupervised User Identity Linkage via Factoid Embedding.
ICDM
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
2017 J jnl
Classification Under Streaming Emerging New Classes: A Solution Using Completely-Random Trees.
IEEE Trans. Knowl. Data Eng.
Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
2017 A* conf
Cost-Effective Active Learning from Diverse Labelers.
IJCAI
Sheng-Jun Huang, Jia-Lve Chen, Xin Mu, Zhi-Hua Zhou
2017 — conf
Large-scale point-of-interest category prediction using natural language processing models.
IEEE BigData
Daniel Yue Zhang, Dong Wang, Hao Zheng, Xin Mu, Qi Li, Yang Zhang
2017 A* conf
Streaming Classification with Emerging New Class by Class Matrix Sketching.
AAAI
Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou
2017 A conf
Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework.
ICDCS
Daniel Yue Zhang, Chao Zheng, Dong Wang, Douglas Thain, Xin Mu, Greg Madey, Chao Huang
2016 J jnl
Classification under Streaming Emerging New Classes: A Solution using Completely Random Trees.
CoRR
Xin Mu, Kai Ming Ting, Zhi-Hua Zhou
2016 A* conf
User Identity Linkage by Latent User Space Modelling.
KDD
Xin Mu, Feida Zhu, Ee-Peng Lim, Jing Xiao, Jianzong Wang, Zhi-Hua Zhou