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1. EC-PEFT: An Expertise-Centric Parameter-Efficient Fine-Tuning Framework for Large Language Models NSTL国家科技图书文献中心

Yimeng Zhang |  Xuelin Cheng... -  《PRICAI 2024,Part II》 -  Pacific Rim International Conference on Artificial Intelligence - 2025, - 296~307 - 共12页

摘要:With the development of large language models, parameter-efficient fine-tuning (PEFT) methods have gained increasing attention. However, fine-tuning methods often struggle to capture diverse input fea...
关键词: Parameter-Efficient fine-Tuning |  Mixture-of-Experts |  Contrastive learning

2. Benchmarking Multi-Scene Fire and Smoke Detection NSTL国家科技图书文献中心

Xiaoyi Han |  Nan Pu... -  《Pattern Recognition and Computer Vision,Part XI》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 203~218 - 共16页

摘要:The current irregularities in existing public Fire and Smoke Detection (FSD) datasets have become a bottleneck in the advancement of FSD technology. Upon in-depth analysis, we identify the core issue ...
关键词: Fire and smoke detection |  The multi-Scene fire and smoke detection benchmark

3. Multi-layer Tuning CLIP for Few-Shot Image Classification NSTL国家科技图书文献中心

Ruihao Zhang |  Jinsong Geng... -  《Pattern Recognition and Computer Vision,Part V》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 173~186 - 共14页

摘要:CLIP bridges the gap between visual and language by learning both image and text representations simultaneously. As a large pretrained visual language model, CLIP is highly generalisable and has demon...
关键词: Few-Shot |  CLIP |  Multi-layer |  Dynamic feature fusion

4. Behavior Capture Based Explainable Engagement Recognition NSTL国家科技图书文献中心

Yijun Bei |  Songyuan Guo... -  《Pattern Recognition and Computer Vision,Part X》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 239~253 - 共15页

摘要:Engagement recognition aims to identify an individual's level of participation in a particular activity, which has broad application fields, such as education, healthcare, and driving. However, the pe...
关键词: Engagement recognition |  Spatiotemporal modeling |  Behavior capture |  Video transformer

5. CKR-Calibrator: Convolution Kernel Robustness Evaluation and Calibration NSTL国家科技图书文献中心

Yijun Bei |  Jinsong Geng... -  《Neural Information Processing: 30th International Conference, ICONIP 2023, Changsha, China, November 20-23, 2023, Proceedings, Part V》 -  International Conference on Neural Information Processing - 2024, - 137~148 - 共12页

摘要:Recently, Convolution Neural Networks (CNN) have achieved excellent performance in some areas of computer vision, including face recognition, character recognition, and autonomous driving. However, th...
关键词: Robustness |  Convolution kernel |  Evaluation |  Calibration

6. Online Extracting Sessions of Frequent Users NSTL国家科技图书文献中心

Yijun Bei |  Zhengong Cai -  《2020 IEEE 5th International Conference on Cloud Computing and Big Data Analytics: IEEE 5th International Conference on Cloud Computing and Big Data Analytics (ICCCBDA 2020), 10-13 April 2020, Chengdu, China》 -  International Conference on Cloud Computing and Big Data Analytics - 2020, - 440~446 - 共7页

摘要:Web usage mining aims to discover interesting user access patterns from the data derived from interactions of users. The primary source data for web usage mining approach is user sessions extracted fr...
关键词: Data mining |  Web servers |  Task analysis |  Web mining |  Web sites |  Algorithm design and analysis |  Data structures

10. PISA: A framework for integrating uncooperative peers into P2P-based federated search SCIE Web of Science核心 SCOPUS Scopus数据库 NSTL国家科技图书文献中心

Gang Chen |  Zujie Ren... -  《Computer communications》 - 2011,34(6) - 715~729 - 共15页

摘要:In the past years, federated search over peer-to-peer (P2P) networks has attracted considerable attention from the information retrieval community. Most previous work assumes a so-called cooperative e...
关键词: federated search |  p2p network |  uncooperative peers
检索条件作者:Yijun Bei

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