User Identity Linkage by Latent User Space Modelling. - Xin Mu; Feida Zhu 001; Ee-Peng Lim; Jing Xiao 006; Jianzong Wang; Zhi-Hua Zhou (KDD, 2016)

Streaming Classification with Emerging New Class by Class Matrix Sketching. - Xin Mu; Feida Zhu 001; Juan Du 007; Ee-Peng Lim; Zhi-Hua Zhou (AAAI, 2017)

Large-scale point-of-interest category prediction using natural language processing models. - Daniel Yue Zhang; Dong Wang 002; Hao Zheng 006; Xin Mu; Qi Li 016; Yang Zhang 031 (IEEE BigData, 2017)

Towards Scalable and Dynamic Social Sensing Using A Distributed Computing Framework. - Daniel Yue Zhang; Chao Zheng 002; Dong Wang 002; Douglas Thain; Xin Mu; Greg Madey; Chao Huang 001 (ICDCS, 2017)

Cost-Effective Active Learning from Diverse Labelers. - Sheng-Jun Huang; Jia-Lve Chen; Xin Mu; Zhi-Hua Zhou (IJCAI, 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)

Unsupervised User Identity Linkage via Factoid Embedding. - Wei Xie 005; Xin Mu; Roy Ka-Wei Lee; Feida Zhu 001; Ee-Peng Lim (ICDM, 2018)

Social Stream Classification with Emerging New Labels. - Xin Mu; Feida Zhu 001; Yue Liu; Ee-Peng Lim; Zhi-Hua Zhou (PAKDD (1), 2018)

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 (ACL (3), 2019)

AD-Link: An Adaptive Approach for User Identity Linkage. - Xin Mu; Wei Xie 005; Roy Ka-Wei Lee; Feida Zhu 001; Ee-Peng Lim (ICBK, 2019)

Nearest Neighbor Ensembles: An Effective Method for Difficult Problems in Streaming Classification with Emerging New Classes. - Xin-Qiang Cai; Peng Zhao 006; Kai-Ming Ting; Xin Mu; Yuan Jiang 001 (ICDM, 2019)

Data Pricing and Data Asset Governance in the AI Era. - Jian Pei 001; Feida Zhu 001; Zicun Cong; Xuan Luo; Huiwen Liu; Xin Mu (KDD, 2021)

Multi-Instance Learning With Emerging Novel Class. - Xiu-Shen Wei; Han-Jia Ye; Xin Mu; Jianxin Wu 001; Chunhua Shen; Zhi-Hua Zhou (IEEE Trans. Knowl. Data Eng., 2021)

Human Assisted Learning by Evolutionary Multi-Objective Optimization. - Dan-Xuan Liu; Xin Mu; Chao Qian 001 (AAAI, 2023)

A Generative Approach for Script Event Prediction via Contrastive Fine-Tuning. - Fangqi Zhu; Jun Gao; Changlong Yu; Wei Wang 138; Chen Xu; Xin Mu; Min Yang 007; Ruifeng Xu 001 (AAAI, 2023)

Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification. - Xin Mu; Gongxian Zeng; Zhengan Huang (DASFAA (1), 2023)

Controllable Contrastive Generation for Multilingual Biomedical Entity Linking. - Tiantian Zhu; Yang Qin 001; Qingcai Chen; Xin Mu; Changlong Yu; Yang Xiang 003 (EMNLP, 2023)

Asymmetric Group Message Franking: Definitions and Constructions. - Junzuo Lai; Gongxian Zeng; Zhengan Huang; Siu Ming Yiu; Xin Mu; Jian Weng 001 (EUROCRYPT (5), 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 (ISBI, 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; et al. (OFC, 2023)

Migrant Resettlement by Evolutionary Multi-objective Optimization. - Dan-Xuan Liu; Yu-Ran Gu; Chao Qian 001; Xin Mu; Ke Tang 001 (CoRR, 2023)

Asymmetric Group Message Franking: Definitions & Constructions. - Junzuo Lai; Gongxian Zeng; Zhengan Huang; Siu Ming Yiu; Xin Mu; Jian Weng 001 (IACR Cryptol. ePrint Arch., 2023)

Strongly nonoutsourceable scratch-off puzzles in blockchain. - Gongxian Zeng; Zhengan Huang; Yu Wang; Xin Mu; Cheng Zhang (Soft Comput., 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., 2023)

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 (AAAI, 2024)

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. - Jinglong Luo; Yehong Zhang; Zhuo Zhang 007; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (ACL (Findings), 2024)

Model Provenance via Model DNA. - Xin Mu; Yu Wang; Yehong Zhang; Jiaqi Zhang; Hui Wang; Yang Xiang; Yue Yu (ECAI, 2024)

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2024)

Multi-Designated Detector Watermarking for Language Models. - Zhengan Huang; Gongxian Zeng; Xin Mu; Yu Wang; Yue Yu (IACR Cryptol. ePrint Arch., 2024)

Data Provenance via Differential Auditing. - Xin Mu; Ming Pang; Feida Zhu 001 (IEEE Trans. Knowl. Data Eng., 2024)

Flip-Chip Bonded 450-nm InGaN Laser Diodes in a Foundry Fabricated Visible-Light Silicon Photonics Platform. - 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 (OFC, 2025)

Migrant Resettlement by Evolutionary Multiobjective Optimization. - Dan-Xuan Liu; Yu-Ran Gu; Chao Qian 001; Xin Mu; Ke Tang 001 (IEEE Trans. Artif. Intell., 2025)

HGFF: A Deep Reinforcement Learning Framework for Lifetime Maximization in Wireless Sensor Networks. - Xiaoxu Han; Xin Mu; Jinghui Zhong (IEEE Trans. Artif. Intell., 2025)

Transformer-Assisted Genetic Programming for Symbolic Regression [Research Frontier]. - Xiaoxu Han; Jinghui Zhong; Zhitong Ma; Xin Mu; Nikola Gligorovski (IEEE Comput. Intell. Mag., 2025)