Victor S. Sheng

1. Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
   2023/10/23 by Tianshi Che, Che, Tianshi, Ji Liu +13 · 16 citations
   Computer Science · #Computation and Language (cs.CL) #Distributed #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques #and Cluster Computing (cs.DC)
2. Deep semi-supervised learning for medical image segmentation: A review
   2024/01/03 by Kai Han, Victor S. Sheng, Yuqing Song +4 · 8 citations
   Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Medical Image Segmentation Techniques
3. Contrastive Learning with Bidirectional Transformers for Sequential Recommendation
   2022/08/08 by Hanwen Du, Hui Shi, Du, Hanwen +13 · 5 citations
   Computer Science · #Recommender Systems and Techniques #Topic Modeling #Domain Adaptation and Few-Shot Learning
4. Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation
   2023/10/22 by Xiuyuan Qin, Huanhuan Yuan, Qin, Xiuyuan +9 · 4 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning and ELM #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining
5. Class-attention Video Transformer for Engagement Intensity Prediction
   2022/08/12 by Xusheng Ai, Victor S. Sheng, Ai, Xusheng +4 · 3 citations
   Computer Science · Neuroscience · #Advanced Technologies in Various Fields #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mind wandering and attention #Online Learning and Analytics
6. Neuro-Symbolic AI: Explainability, Challenges, and Future Trends
   2024/11/07 by Xin Zhang, Zhang, Xin, Victor S. Sheng +1 · 4 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
7. FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text
   2024/10/09 by Zhenyu Xu, Kun Zhang, Xu, Zhenyu +3 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #Digital Rights Management and Security #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Natural Language Processing Techniques
8. Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation
   2023/10/21 by Yongjing Hao, Hao, Yongjing, Pengpeng Zhao +13 · 1 citation
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
9. Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation
   2018/06/18 by Pengpeng Zhao, Haifeng Zhu, Zhao, Pengpeng +9 · 1 citation
   Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Image Retrieval and Classification Techniques #Information Retrieval (cs.IR) #Recommender Systems and Techniques
10. Signal Watermark on Large Language Models
    2024/10/09 by Zhenyu Xu, Xu, Zhenyu, Victor S. Sheng +1 · 1 citation
    Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG)
11. Quantum parallel information exchange (QPIE) hybrid network with transfer learning
    2025/04/05 by Ziqing Guo, Alex Khan, Guo, Ziqing +7 · 1 citation
    Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum many-body systems #Quantum Information and Cryptography