钟必能

首页钟必能

钟必能

职称/职务：教授、博导、副院长、教育部重点实验室常务副主任

研究方向：人工智能、机器学习、计算机视觉、大数据分析

电子邮件：zhongbineng@163.com,bnzhong@gxnu.edu.cn

通信地址：广西桂林市七星区育才路15号、广西师范大学计算机科学与工程学院

个人简介

钟必能，男，壮族，籍贯广西河池宜州市，博士/教授，博士研究生导师，现工作于广西师范大学计算机科学与工程学院/软件学院，任计算机科学与工程学院/软件学院副院长（分管科研与实验室）、教育区块链与智能技术教育部重点实验室常务副主任、人工智能研究院院长。主要研究方向为人工智能、机器学习、计算机视觉、大数据分析。已发表论著200余篇，其中IEEE TPAMI、CVPR等CCF A类期刊/会议、IEEE/ACM汇刊近100篇。谷歌学术被引用近两万次。作为负责人主持了国家自然科学基金重点项目、面上项目（3项）、青年项目、国家科学技术学术著作出版基金、广西自然科学基金创新研究团队项目、重点项目、八桂拔尖青年人才培养项目等50多项课题。常年担任多个国际顶级会议（CVPR、ICCV、ECCV、ICML、NeurIPS、ICLR、MM、IJCAI、AAAI、MM）和顶级期刊（IEEE TPAMI、IEEE TIP、IEEETNNLS、IEEE TCSVT、PR、Neurocomputing、FCS）的SPC、PC委员、Program Committee、青年编委。相关理论和技术应用于AI+教育、生物医药、智能制造、智慧农林、环境生态、机器人、智慧旅游、辅助驾驶，智能交通、低空经济，智能康养等领域。

教育和工作经历：

2000-2010：哈尔滨工业大学，本/硕/博

2007-2008：中科院自动化所，访问研究

2008-2009：中科院计算所，访问研究

2010-2020：华侨大学，教授

2011-2013：厦门大学，博士后

2017-2018：美国东北大学，访问学者

2020-至今：广西师范大学，教授，博导

研究兴趣:

1.自适应和自主化学习：AI如何在复杂开放环境中进行自适应进化和自主学习。

2.新一代可信、可解释、可通用、安全的人工智能和新型神经网络计算机理与关键技术。

3.计算机视觉：图像超分辨和复原、视觉目标检测、跟踪与重识别等，尤其关注复杂开放环境中全天候大范围目标感知与跟踪。

4.云边端协同计算：视觉边缘计算、深度模型约简与加速、功耗约束、通讯带宽约束的网络结构搜索与设计。

主持的部分代表性课题：

[1] 国家自然科学基金区域创新发展联合基金重点项目，面向八桂壮乡全天候复杂环境智能视觉感知的新型神经网络关键技术研究，项目编号：U23A20383，项目起止时间：2024.1-2027.12。

[2] 国家自然科学基金面上项目，基于时空上下文信息和多模态学习的视觉目标跟踪，项目编号：62472109，项目起止时间：2025.1-2028.12。

[3] 国家自然科学基金面上项目，复杂动态场景下基于深度学习的鲁棒多线索目标跟踪，项目编号：61972167，项目起止时间：2020.1-2023.12。

[4] 国家自然科学基金面上项目，面向鲁棒跟踪的目标表观建模、搜索与更新关键算法研究，项目编号：61572205，项目起止时间：2016.1-2019.12。

[5] 国家自然科学基金青年项目，基于弱监督学习和深度信息的目标跟踪算法研究，项目编号：61202299，项目起止时间：2013.1-2015.12。

[6] 2023年国家科学技术学术著作出版基金。

[7] 广西自然科学基金创新研究团队项目，面向八桂边疆民族地区安全的智能视觉理解关键技术研究，项目编号：2024GXNSFGA010001，项目起止时间：2024.5-2028.4。

[8] 广西自然科学基金重点项目，实用轻量化目标跟踪算法研究，项目编号：2022GXNSFDA035079，项目起止时间：2022.4-2026.3。

[9] 广西科技基地和人才专项，视觉目标跟踪中若干基础问题研究，项目编号：GuiKeAD21075030，项目起止时间：2021.4-2023.4。

[10] 2023年八桂青年拔尖人才培养项目（第一批）。

教改项目：

[1] 2024年广西学位与研究生教育改革项目，项目名称：新质生产力视域下人工智能领域研究生创新实践能力提升路径探究，项目编号：JGY2024078。

[2] 2023年度广西高等教育本科教学改革工程项目（一般项目A类），项目名称：新工科背景下操作系统课程与创新创业教育融合的研究与实践，项目编号：2023JGA127。

发表的部分代表性论文：

1. Bineng Zhong et al. Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2025 (EI,计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

2. Bineng Zhong et al. Dynamic Updates for Language Adaptation in Visual-Language Tracking. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2025 (EI,计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

3. Bineng Zhong et al. Decoupled Spatio-Temporal Consistency Learning for Self-Supervised Tracking. The Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

4. Bineng Zhong et al. MambaLCT: Boosting Tracking via Long-term Context State Space Model. The Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

5. Bineng Zhong et al. Robust Tracking via Mamba-based Context-aware Token Learning. The Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

6. Bineng Zhong et al. Less is More: Token Context-aware Learning for Object Tracking. The Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

7. Bineng Zhong et al. Exploiting Multimodal Spatial-temporal Patterns for Video Object Tracking. The Thirty-Ninth AAAI Conference on Artificial Intelligence, AAAI 2025 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

8. Bineng Zhong et al. Uncertainty-Guided Diffusion Model for Camouflaged Object Detection. IEEE Transactions on Multimedia, 2025, DOI: 10.1109/TMM.2025.3535290 (SCI一区，多媒体领域国际顶级期刊，中国计算机学会推荐B类期刊).

9. Bineng Zhong et al. Robust Multi-stage Tracking via Multi-scale and Multi-level Representation Learning. IEEE Transactions on Multimedia, 2025 (SCI一区，多媒体领域国际顶级期刊，中国计算机学会推荐B类期刊).

10. Bineng Zhong et al. Mamba Adapter: Efficient Multi-Modal Fusion for Vision-Language Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2025, DOI: 10.1109/TCSVT.2025.3557570 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

11. Bineng Zhong et al. SIEVL-Track: Exploring Semantic Information Enhancement for Visual-Language Object Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2025, DOI: 10.1109/TCSVT.2025.3531375 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

12. Bineng Zhong et al. AVLTrack: Dynamic Sparse Learning for Aerial Vision-Language Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2025, DOI: 10.1109/TCSVT.2025.3549953 (SCI一区,视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

13. Bineng Zhong et al. Adaptive Expert Decision for RGB-T Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2025, DOI: 10.1109/TCSVT.2025.3563223 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

14. Bineng Zhong et al. Adaptive Perception for Unified Visual Multi-modal Object Tracking. IEEE Transactions on Artificial Intelligence, 2025, DOI: 10.1109/TAI.2025.3558482.

15. Bineng Zhong et al. Towards Reliable Tracking: An Uncertainty-Aware Siamese Tracker. IEEE Transactions on Emerging Topics in Computational Intelligence, 2025.

16. Bineng Zhong et al. OSFusion: A One-Stream Infrared and Visible Image Fusion Framework. IEEE Signal Processing Letters, 2025, 32: 1086-1090, DOI: 10.1109/LSP.2025.3545293 (SCI二区，中国计算机学会推荐C类期刊).

17. Bineng Zhong et al. Target-background Interaction Modeling Transformer for Object Tracking. Knowledge-Based Systems, 2025 (SCI三区).

18. Bineng Zhong et al. Unifying Motion and Appearance Cues for Visual Tracking via Shared Queries. IEEE Transactions on Circuits and Systems for Video Technology, 2024, DOI: 10.1109/TCSVT.2024.3486347 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

19. Bineng Zhong et al. Visualizing and Understanding Patch Interactions in Vision Transformer. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(10): 13671-13680, DOI: 10.1109/TNNLS.2023.3270479 (SCI一区，神经网络和机器学习领域国际顶级期刊，中国计算机学会推荐B类期刊).

20. Bineng Zhong et al. Top-down Cross-modal Guidance for Robust RGB-T Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2024,34(12): 12388-12398, DOI: 10.1109/TCSVT.2024.3435722 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

21. Bineng Zhong et al. Diffusion Mask-Driven Visual-language Tracking. The 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 (EI, 国际人工智能顶级会议，中国计算机学会推荐A类会议).

22. Bineng Zhong et al. Autoregressive Queries for Adaptive Tracking with Spatio-Temporal Transformers. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2024 (EI,计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

23. Bineng Zhong et al. DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2024 (EI,计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

24. Bineng Zhong et al. Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2024 (EI,计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

25. Bineng Zhong et al. Explicit Visual Prompts for Visual Object Tracking. Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

26. Bineng Zhong et al. ODTrack: Online Dense Temporal Token Learning for Visual Tracking. Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

27. Bineng Zhong et al. Robust Tracking via Bidirectional Transduction with Mask Information. IEEE Transactions on Multimedia, 2024, 26: 4308-4319, DOI: 10.1109/TMM.2023.3321497 (SCI一区，多媒体领域国际顶级期刊，中国计算机学会推荐B类期刊).

28. Bineng Zhong et al. Robust Tracking via Combing Top-down and Bottom-up Attention. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10): 9774-9785, DOI: 10.1109/TCSVT.2024.3402436 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

29. Bineng Zhong et al. One-Stream Stepwise Decreasing for Vision-Language Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2024,34(10): 9053-9063, DOI: 10.1109/TCSVT.2024.3395352 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

30. Bineng Zhong et al. Towards Modalities Correlationfor RGB-T Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(10): 9102-9111, DOI: 10.1109/TCSVT.2024.3396289 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

31. Bineng Zhong et al. Towards Unified Token Learning for Vision-Language Tracking. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(4): 2125-2135, DOI: 10.1109/TCSVT.2023.3301933 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

32. Bineng Zhong et al. Positive-Sample-Free Object Tracking via a Soft Constraint. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(3): 1364-1375, DOI: 10.1109/TCSVT.2023.3294580 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

33. Bineng Zhong et al. Transformer Tracking via Frequency Fusion. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(2): 1020-1031, DOI: 10.1109/TCSVT.2023.3289624 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

34. Bineng Zhong et al. Motion-Driven Tracking via End-to-End Coarse-to-Fine Verifying. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(2): 1007-1019, DOI: 10.1109/TCSVT.2023.3289620 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

35. Bineng Zhong et al. Identity-Aware Variational Autoencoder for Face Swapping. IEEE Transactions on Circuits and Systems for Video Technology, 2024, DOI: 10.1109/TCSVT.2024.3349909 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

36. Bineng Zhong et al. Hybrid Transformers with Attention-guided Spatial Embeddings for Makeup Transfer and Removal. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(4): 2876-2890, DOI: 10.1109/TCSVT.2023.3312790 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

37. Bineng Zhong et al. End-to-End Human Instance Matting. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(4): 2633-2647, DOI: 10.1109/TCSVT.2023.3306400 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

38. Bineng Zhong et al. Visual Adapt For RGBD Tracking. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024 (EI, CCF B类会议)

39. Bineng Zhong et al. Global semantic-guided Graph Attention Network for Siamese Tracking with Ranking Loss. Digital Signal Processing, 2024.

40. Bineng Zhong et al. Self Supervised Progressive Network for High Performance Video Object Segmentation. IEEE Transactions on Neural Networks and Learning Systems, 2024,35(6): 7671-7684, DOI: 10.1109/TNNLS.2022.3219936 (SCI一区，神经网络和机器学习领域国际顶级期刊，中国计算机学会推荐B类期刊).

41. Bineng Zhong et al. SAM-Assisted Temporal-Location Enhanced Transformer Segmentation for Object Tracking with Online Motion Inference. Neurocomputing, Available online 23 November 2024, 128914 (SCI二区, 中国计算机学会推荐C类期刊).

42. Bineng Zhong et al. SiamBAN: Target-aware Tracking with Siamese Box Adaptive Network. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(4): 5158-5173, DOI: 10.1109/TPAMI.2022.3195759. (SCI一区, 人工智能领域国际顶级期刊，中国计算机学会推荐A类期刊).

43. Bineng Zhong et al. Unambiguous Object Tracking by Exploiting Target Cues. ACM International Conference on Multimedia，MM 2023 (EI, 多媒体领域国际顶级会议, 中国计算机学会推荐A类会议).

44. Bineng Zhong et al. Interactive Object Placement with Reinforcement Learning. International Conference on Machine Learning, ICML 2023 (EI, 机器学习国际顶级会议, 中国计算机学会推荐A类会议).

45. Bineng Zhong et al. Leveraging Local and Global Cues for Visual Tracking via Parallel Interaction Network. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(4): 1671-1683, DOI: 10.1109/TCSVT.2022.3212987 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

46. Bineng Zhong et al. Robust Tracking via Uncertainty-aware Semantic Consistency. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(4): 1740-1751, DOI: 10.1109/TCSVT.2022.3214222 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

47. Bineng Zhong et al. Robust Tracking via Learning Model Update with Unsupervised Anomaly Detection Philosophy. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33(5): 2330-2341, DOI: 10.1109/TCSVT.2022.3221723 (SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

48. Bineng Zhong et al. Robust Long-term Tracking Via Localizing Occluders. ACM Transactions on Multimedia Computing Communications and Applications, 2023,19(2s): 1-15 (SCI三区, 中国计算机学会推荐B类期刊).

49. Bineng Zhong et al. One-stream Vision-Language Memory Network for Object Tracking. IEEE Transactions on Multimedia, 2023, DOI: 10.1109/TMM.2023.3285441 (SCI一区，多媒体领域国际顶级期刊，中国计算机学会推荐B类期刊).

50. Bineng Zhong et al. Unifying Dual-Attention and Siamese Transformer Network for Full-Reference Image Quality Assessment. ACM Transactions on Multimedia Computing Communications and Applications, 2023 (SCI三区, 中国计算机学会推荐B类期刊).

51. Bineng Zhong et al. Visual Grounding with Joint Multi-modal Representation and Interaction. IEEE Transactions on Instrumentation & Measurement, 2023, DOI: 10.1109/TIM.2023.3324362 (SCI二区).

52. Bineng Zhong et al. Robust Tracking via Unifying Pretrain-Finetuning and Visual Prompt Tuning. ACM Multimedia Asia, 2023 (EI, CCF C类会议).

53. Bineng Zhong et al. SpectralTracker: Jointly High and Low-Frequency Modeling for Tracking. The 6th Chinese Conference on Pattern Recognition and Computer Vision, 2023 (EI, CCF C类会议).

54. Bineng Zhong et al. The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshop, 2023.

55. Bineng Zhong et al. Attention-based Neural Architecture Search for Person Re- identification. IEEE Transactions on Neural Networks and Learning Systems, 2022,33(11): 6627-6639 (SCI一区, 神经网络和机器学习领域国际顶级期刊，中国计算机学会推荐B类期刊).

56. Bineng Zhong et al. Teacher-Student Knowledge Distillation for Real-Time Correlation Tracking. Neurocomputing 2022 (SCI二区, 中国计算机学会推荐C类期刊).

57. Bineng Zhong et al. Representative Task Self-selection for Flexible Clustered Lifelong Learning. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(4): 1467-1481 (SCI一区，神经网络和机器学习领域国际顶级期刊，中国计算机学会推荐B类期刊).

58. Bineng Zhong et al. Large-Scale Subspace Clustering by Independent Distributed and Parallel Coding. IEEE Transactions on Cybernetics, 2022, 52(9): 9090-9100 (SCI一区, 人工智能领域国际顶级期刊，中国计算机学会推荐B类期刊).

59. Bineng Zhong et al. Perceptual Hashing with Complementary Color Wavelet Transform and Compressed Sensing for Reduced-Reference Image Quality Assessment. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(11): 7559-7574(SCI一区, 视频分析领域国际顶级期刊，中国计算机学会推荐B类期刊).

60. Bineng Zhong et al. BacklitNet: A Dataset and Newtork of BacklitImage Enhancement. Computer Vision and Image Understanding, 2022 (SCI三区, 中国计算机学会推荐B类期刊).

61. Bineng Zhong et al. CRNet: Collaborative Refinement Network for Self-Supervised Video Object Segmentation. International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022 (EI).

62. Bineng Zhong et al. Coded Caching for Combination Networks with Multiaccess. Information, 2022 (EI).

63. Bineng Zhong et al. A Hierarchical Heterogeneous Graph Attention Network for Emotion-Cause Pair Extraction. Electronics, 2022 (SCI四区).

64. Bineng Zhong et al. The Tenth Visual Object Tracking VOT2022 Challenge Results. European Conference on Computer Vision Workshop, 2022.

65. Bineng Zhong et al. EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. IEEE International Conference on Computer Vision, ICCV 2021 (EI, 计算机视觉国际顶级会议, 中国计算机学会推荐A类会议).

66. Bineng Zhong et al. SiamUSC: Uncertainty-aware Semantic Consistency Siamese Tracker (SiamUSC). The Ninth Visual Object Tracking VOT2021 Challenge Results in ICCV 2021 (视觉目标跟踪领域VOT国际挑战赛).

67. Bineng Zhong et al. Learning to Filter: Siamese Relation Network for Robust Tracking. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2021 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议, oral).

68. Bineng Zhong et al. Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2021 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

69. Bineng Zhong et al. Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2021 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议, oral).

70. Bineng Zhong et al. Long-Range Feature Propagating for Natural Image Matting. The 29th ACM International Conference on Multimedia, MM 2021 (EI, 多媒体领域国际顶级会议, 中国计算机学会推荐A类会议).

71. Bineng Zhong et al. DRNet: Towards Fast, Accurate and Practical Dish Recognition. Science China Technological Sciences, 2021 (SCI二区, 中国科学-技术科学英文版).

72. Bineng Zhong et al. Residual Dense Network for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 43(7): 2480-2495 (SCI一区，人工智能领域国际顶级期刊，中国计算机学会推荐A类期刊).

73. Bineng Zhong et al. Adaboost-like End-to-End Multiple Lightweight U-Nets for Road Extraction from Optical Remote Sensing Images. International Journal of Applied Earth Observations and Geoinformation, 2021 (SCI一区).

74. Bineng Zhong et al. RGB+2D Skeleton: Local Hand-crafted and 3D Convolution Feature Coding for Action Recognition. Signal Image and Video Processing, 2021 (SCI三区).

75. Bineng Zhong et al. Combined Improved Dirichlet Models and Deep Learning Models for Road Extraction from Remote Sensing Images. Canadian Journal of Remote Sensing, pp.1-20, 2021 (SCI三区).

76. Bineng Zhong et al. Co-inference Discriminative Tracking Through Multi-Task Siamese Network. IEEE Access, 2021 (SCI二区).

77. Bineng Zhong et al. Real-Time Video Dehazing via Incremental Transmission Learning and Spatial-temporally Coherent Regularization. Neurocomputing, 2020 (SCI二区，中国计算机学会推荐C类期刊).

78. Bineng Zhong et al. Fine-Grained Spatial Alignment Model for Person Re-Identification with Focal Triplet Loss. IEEE Transactions on Image Processing, 2020, 29: 7578-7589 (SCI一区, 图像处理领域国际顶级期刊，中国计算机学会推荐A类期刊).

79. Bineng Zhong et al. Hearing like Seeing: Improving Voice-Face Interactions and Associations via Adversarial Deep Semantic Matching Network. The 28th ACM International Conference on Multimedia, MM 2020 (EI, 多媒体领域国际顶级会议, 中国计算机学会推荐A类会议).

80. Bineng Zhong et al. Adversarial Tri-Fusion Hashing Network for Imbalanced Cross-Modal Retrieval. IEEE Transactions on Emerging Topics in Computational Intelligence, 2020, 2-13, DOI: 10.1109/TETCI.2020.3007143.

81. Bineng Zhong et al. Semi-supervised Discrete Hashing for Efficient Cross-modal Retrival. Multimedia Tools and Applications, 2020 (SCI四区，中国计算机学会推荐C类期刊).

82. Bineng Zhong et al. Robust and Fast Vehicle Turn-counts at Intersections via an Integrated Solution from Detection, Tracking and Trajectory Modeling. AI City Challenge，CVPR 2020 Workshop. （滴滴出行和华大参与的CVPR 2020智慧城市挑战赛道1比赛：交通场景十字路口多类别车辆转弯计数比赛，在全球100多个参赛队伍中排名第二，获得亚军）

83. Bineng Zhong et al. A Cooperative Tracker by Fusing Correlation Filter and Siamese Network. 3rd Chinese Conference on Pattern Recognition and Computer Vision, PRCV 2020 (EI).

84. Bineng Zhong et al. Siamese Box Adaptive Network for Visual Tracking. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2020 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

85. Bineng Zhong et al. Projection & Probability-Driven Black-Box Attack. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2020 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

86. Bineng Zhong et al. What can be Transferred: Unsupervised Endoscopic Lesions Segmentation. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2020 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

87. Bineng Zhong et al. Improve Escherichia Coli DNA N-4-methycytosine Sites Prediction Accuracy by Light Gradient Boosting Machine Feature Selection Technology. IEEE Access, 2020 (SCI二区，2020年影响因子: 3.745).

88. Bineng Zhong et al. Conditional GAN based Individual and Global Motion Fusion for Multiple Object Tracking in UAV Videos. Pattern Recognition Letters, 2020 (SCI三区, 中国计算机学会推荐C类期刊)

89. Bineng Zhong et al. A Comprehensive Survey of Vision-based Human Action Recognition Methods. Sensors 19 (5), 1005, 2019.

90. Bineng Zhong et al. Identification of Anti-cancer Peptides Based on Multi-classifier System. Combinatorial Chemistry & High Throughput Screening, 2019, 22(10):694-704 (SCI四区).

91. Bineng Zhong et al. LRDNN: Local-refining based Deep Neural Network for Person Re-Identification with Attribute Discerning. The 28th International Joint Conference on Artificial Intelligence, IJCAI 2019 (EI, 国际人工智能顶级会议，中国计算机学会推荐A类会议).

92. Bineng Zhong et al. Hierarchical Tracking by Reinforcement Learning based Searching and Coarse-to-fine Verifying. IEEE Transactions on Image Processing, 2019, 28(5): 2331-2341 (SCI一区，图像处理领域国际顶级期刊，中国计算机学会推荐A类期刊).

93. Bineng Zhong et al. Deep Alignment Network Based Multi-person Tracking with Occlusion and Motion Reasoning. IEEE Transactions on Multimedia, 2019, 21(5): 1183-1194 (SCI一区，多媒体领域国际顶级期刊，中国计算机学会推荐B类期刊).

94. Bineng Zhong et al. Learning Modality-Consistency Feature Templates: A Robust RGB-Infrared Tracking System. IEEE Transactions on Industrial Electronics, 2019 (SCI一区).

95. Bineng Zhong et al. Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning. IEEE Transactions on Intelligent Transportation Systems, 2019 (SCI一区，中国计算机学会推荐B类期刊).

96. Bineng Zhong et al. Residual Non-local Attention Networks for Image Restoration. International Conference on Learning Representations, New Orleans, USA, May 2019 (EI, 深度学习和人工智能国际顶级会议).

97. Bineng Zhong et al. Structured and Sparse Annotations for Image Emotion Distribution Learning. Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019 (EI, 人工智能国际顶级会议，中国计算机学会推荐A类会议).

98. Bineng Zhong et al. Localization-Aware Meta Tracker Guided with Adversarial Features. IEEE Access, 2019 (SCI二区).

99. Bineng Zhong et al. Online Non-negative Multi-modality Feature Template Learning for RGB assisting Infrared Tracking. IEEE Access, 2019 (SCI二区).

100. Bineng Zhong et al. Medical Image Segmentation Based on Spatially Constrained Inverted Beta-Liouville Mixture Models. Mixture Models and Applications, 307-324, 2019.

101. Bineng Zhong et al. Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. IEEE International Conference on Data Mining, ICDM 2018 (EI, 数据挖掘国际顶级会议, 中国计算机学会推荐B类会议).

102. Bineng Zhong et al. Image Super-Resolution Using Very Deep Residual Channel Attention Networks. European Conference on Computer Vision, ECCV 2018 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐B类会议).

103. Bineng Zhong et al. Residual Dense Network for Image Super-Resolution. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2018 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

104. Bineng Zhong et al. Kernel Correlation Filters for Visual Tracking with Adaptive Fusion of Heterogeneous Cues. Neurocomputing, 2018, 286:109-120 (SCI二区，2020年影响因子4.438, 中国计算机学会推荐C类期刊).

105. Bineng Zhong et al. Robust feature learning for online discriminative tracking without large-scale pre-training. Frontiers of Computer Science, 2018, 12(6): 1160-1172 (SCI 四区，中国计算机学会推荐C类期刊).

106. Bineng Zhong et al. Automatic Character Motion Style Transfer via Autoencoder Generative Model and Spatio-Temporal Correlation Mining. The Chinese Conference on Computer Vision 2017, CCCV 2017.

107. Bineng Zhong et al. Efficient Human Motion Transition via Hybrid Deep Neural Network and Reliable Motion Graph Mining. The Chinese Conference on Computer Vision 2017, CCCV 2017.

108. Bineng Zhong et al. Efficient Cross-modal Retrieval via Discriminative Deep Correspondence, CCCV2017.

109. Bineng Zhong et al. Efficient Speaker Naming via Deep Audio-Face Fusion and End-to-End Attention Model. The Fourth Asian Conference on Pattern Recognition, ACPR 2017.

110. Bineng Zhong et al. Efficient Audio-visual Speaker Recognition via Deep Heterogeneous Feature Fusion. Chinese Conference on Biometric Recognition, CCBR 2017.

111. Bineng Zhong et al. Coarse-to-fine Visual Tracking with PSR and Scale Driven Expert-switching. Neurocomputing, 2018, 275: 1456-1467 (SCI二区，中国计算机学会推荐C类期刊).

112. Bineng Zhong et al. Adaptive Operational Modal Identification for Slow Linear Time-varying Structures based on Frozen-in Coefficient method and Limited Memory Recursive Principal Component Analysis. Mechanical Systems and Signal Processing, 2017 (SCI一区).

113. Bineng Zhong et al. Sparse Representation-Based Semi-Supervised Regression for People Counting. ACM Transactions. on Multimedia Computing, Communications and Applications, 2017, 7(1):1-8 (SCI三区, 中国计算机学会推荐B类期刊).

114. Bineng Zhong et al. Automatic Facial Flaw Detection and Retouching via Discriminative Structure Tensor. IET Image Processing, 2017 (SCI三区，中国计算机学会推荐C类期刊).

115. Bineng Zhong et al. A Sparse Representation Algorithm for Effective Photograph Retrieval. Mathematical and Computational Applications, January 18, 2017.

116. Bineng Zhong et al. Trajectory Privacy Preservation based on a Fog Structure for Cloud Location Services. IEEE Access, 2017 (SCI二区).

117. Bineng Zhong et al. Jointly Feature Learning and Selection for Robust Tracking via a Gating Mechanism. PLOS One, August 30, 2016 (SCI三区).

118. Bineng Zhong et al. Higher Order Partial Least Squares for Object Tracking: A 4D-Tracking Method. Neurocomputing, 2016, 215: 118-127 (SCI二区，中国计算机学会推荐C类期刊).

119. Bineng Zhong et al. Convolutional Deep Belief Networks for Single-Cell/Object Tracking in Computational Biology and Computer Vision. BioMed Research International, vol. 2016, Article ID 9406259, 14 pages, 2016. doi:10.1155/2016/9406259 (SCI四区).

120. Bineng Zhong et al. Robust Individual-Cell/Object Tracking via PCANet Deep Network in Biomedicine and Computer Vision. BioMed Research International, vol. 2016, Article ID 8182416, 15 pages, 2016. doi:10.1155/2016/8182416 (SCI四区).

121. Bineng Zhong et al. Online Learning 3D Context for Robust Visual Tracking. Neurocomputing, 2015, 151(2):710-718 (SCI二区，中国计算机学会推荐C类期刊).

122. Bineng Zhong et al. Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles. Pattern Recognition, 2014, 47(3):1395-1410 (SCI一区，中国计算机学会推荐B类期刊).

123. Bineng Zhong et al. Structured Partial Least Squares for Simultaneous Object Tracking and Segmentation. Neurocomputing, 2014, 133:317-327 (SCI二区，中国计算机学会推荐C类期刊).

124. Bineng Zhong et al. Robust Tracking via Patch-based Appearance Model and Local Background Estimation. Elsevier Neurocomputing, Neurocomputing 2014, 123, pp.344-353 (SCI二区，中国计算机学会推荐C类期刊).

125. Bineng Zhong et al. Background Subtraction Driven Seeds Selection for Moving Objects Segmentation and Matting. Neurocomputing, 2013, 103: 132-142 (SCI二区，中国计算机学会推荐C类期刊).

126. Bineng Zhong et al. CNNTracker: Online Discriminative Object Tracking via Deep Convolutional Neural Network. Elsevier Applied Soft Computing, 38:1088-1098, 2016 (SCI一区) .

127. Bineng Zhong et al. Probability-based Method for Boosting Human Action Recognition using Scene Context. IET Computer Vision, March 14, 2016 (SCI四区，中国计算机学会推荐C类期刊).

128. Bineng Zhong et al. Comparison of Different Independent Component Analysis Algorithms for Output-only Modal Analysis. Shock and Vibration, 2016 (SCI四区).

129. Bineng Zhong et al. Extracting Target Detection Knowledge Based on Spatio-temporal Information in Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2016 (SCI四区).

130. Bineng Zhong et al. Understanding Image Structure via Hierarchical Shape Parsing. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2015 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

131. Bineng Zhong et al. A Survey on Human Pose Estimation. Intelligent Automation & Soft Computing (Autosoft), 2015 (SCI四区).

132. Bineng Zhong et al. Maximizing Real-time Streaming Services based on a Multi-Servers Networking Framework, Computer Networks, 93(1):199-212, 2015.

133. Bineng Zhong et al. Negentropy and Gradient Iteration based Fast Independent Component Analysis for Multiple Random Fault Sources Blind Identification and Separation [J] International Journal of Applied Electromagnetics and Mechanics，2016 (SCI 四区).

134. Bineng Zhong et al. Operation Modal Analysis Following Fast Independent Component Analysis [J] International Journal of Applied Electromagnetics and Mechanics, 2016 (SCI 四区).

135. Bineng Zhong et al. Uncorrelated Multi-sources Load Identification in Frequency Domain Based on Improved Tikhonov Regularization Method. [J] International Journal of Applied Electromagnetics and Mechanics, 2016 (SCI 四区).

136. Bineng Zhong et al. A Semantic Mapping Method based on Ontology Structure Graph. International Conference on Applications and Design in Mechanical Engineering, ICADME 2015 (EI).

137. Bineng Zhong et al. Output-only Modal Analysis Following Independent Component Analysis. The 17th International Symposium on Applied Electromagnetics and Mechanics (EI).

138. Bineng Zhong et al. Uncorrelated Multi-sources Load Identification Based On An Improved Tikhonov Regularization Method. The 17th International Symposium on Applied Electromagnetics and Mechanics (EI).

139. Bineng Zhong et al. Detecting Targets Based on a Realistic Detection and Decision Model in Wireless Sensor Networks. WASA 2015: 836-844.

140. Bineng Zhong et al. Network in Network based Weakly Supervised Learning for Visual Tracking. Journal of Visual Communication and Image Representation, 2015. (SCI三区，中国计算机学会推荐C类期刊) .

141. Bineng Zhong et al. Deep Network Cascade for Image Super-resolution. European Conference on Computer Vision, ECCV 2014 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐B类会议).

142. Bineng Zhong et al. Robust Infrared Target Tracking Based on Particle Filter with Embedded Saliency Detection. Information Sciences, 2015, 301:215-226 (SCI一区，中国计算机学会推荐B类期刊).

143. Bineng Zhong et al. 3D Object Tracking via Image Sets and Depth-based Occlusion Detection. Elsevier Signal Processing, Signal Processing 2015, 112, pp.146-153 (SCI一区，中国计算机学会推荐C类期刊).

144. Bineng Zhong et al. Automatic motion capture data denoising via filtered subspace clustering and low rank matrix approximation. Elsevier Signal Processing, Signal Processing 2014, 105, pp.350-362 (SCI一区, 中国计算机学会推荐C类期刊).

145. Bineng Zhong et al. BlueCard-green Communications for Exchanging Information of Mobile Ssers. Journal of Computational Information Systems, 10(20):1-8, 2014. (EI).

146. Bineng Zhong et al. Bluecat: An Infrastructure-free System for Relative Mobile Location. Ad Hoc & Sensor Wireless Networks, 2015, 29(1-4): 133-152 (SCI).

147. Bineng Zhong et al. An Effective Unconstrained Correlation Filter and Its Kernelization for Face Recognition. Elsevier Neurocomputing, Neurocomputing 2013, 119, pp.201-211 (SCI二区，中国计算机学会推荐C类期刊).

148. Bineng Zhong et al. Online Structured Hough Forests for Visual Tracking. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2013 (EI，计算机视觉和模式识别国际重要会议，中国计算机学会推荐B类会议).

149. Bineng Zhong et al. Maximizing streaming flows based on a novel video streaming framework. International Teletraffic Congress 2013, pp.1-4 (EI).

150. Bineng Zhong et al. Seeing Actions through Scene Context. Visual Communications and Image Processing, VCIP 2013, pp.1-6 (EI).

151. Bineng Zhong et al. Matting-Driven Hybrid Hough Forest for Robust Object Tracking. IEEE International Conference on Pattern Recognition, ICPR 2012, pp. 2488-2491 (EI，计算机视觉和模式识别国际重要会议，中国计算机学会推荐C类会议).

152. Bineng Zhong et al. A Novel Unconstrained Correlation Filter and Its Application in Face Recognition. Intelligent Science and Intelligent Data Engineering, IScIDE 2012, pp.32-39 (EI).

153. Bineng Zhong et al. Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2010 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

154. Bineng Zhong et al. Local Histogram of Figure/Ground Segmentations for Dynamic Background Subtraction. EURASIP Journal on Advances in Signal Processing, 2010 (SCI四区).

155. Bineng Zhong et al. Towards Semantic Embedding In Visual Vocabulary. IEEE International Conference on Computer Vision and Pattern Recognition, CVPR 2010 (EI, 计算机视觉和模式识别国际顶级会议, 中国计算机学会推荐A类会议).

156. Bineng Zhong et al. Kernel Similarity Modeling of Texture Pattern Flow for Motion Detection in Complex Background. IEEE Transactions on Circuits and Systems for Video Technology, 2011, 21(1):29-38 (SCI一区，中国计算机学会推荐B类期刊).

157. Bineng Zhong et al. Mining Flickr Landmarks by Reconstruction Sparsity Modeling. ACM Transactions. on Multimedia Computing, Communications and Applications, 2011, 7(1):31-53 (SCI三区，中国计算机学会推荐B类期刊).

158. Bineng Zhong et al. Complex Background Modeling based on Texture Pattern Flow with Adaptive Threshold Propagation. Journal of Visual Communication and Image Representation, 2011, 22(6), pp.516-521 (SCI三区，中国计算机学会推荐C类期刊).

159. Bineng Zhong et al. Local Spatial Co-occurrence for Background Subtraction via Adaptive Binned Kernel Estimation. The Ninth Asian Conference on Computer Vision, ACCV 2009, pp. 152-161 (EI, 计算机视觉和模式识别国际重要会议, 中国计算机学会推荐C类会议).

160. Bineng Zhong et al. Robust Background Modeling based on Standard Variance Feature. IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2010, pp.621-625 (EI, 计算机视觉和模式识别国际重要会议,中国计算机学会推荐B类会议).

161. Bineng Zhong et al. Multi-resolution Background Subtraction for Dynamic Scenes. IEEE International Conference on Image Processing, ICIP 2009, pp. 3193-3196 (EI, 计算机视觉和模式识别国际重要会议, 中国计算机学会推荐C类会议).

162. Bineng Zhong et al. Neighboring Image Patches Embedding for Background Modeling. IEEE International Conference on Image Processing, ICIP 2009, pp. 3209-3212 (EI, 计算机视觉和模式识别国际重要会议, 中国计算机学会推荐C类会议).

163. Bineng Zhong et al. Hierarchical Background Subtraction using Local Pixel Clustering. IEEE International Conference on Pattern Recognition, ICPR 2008, pp.1-4 (EI,计算机视觉和模式识别国际重要会议,中国计算机学会推荐C类会议).

164. Bineng Zhong et al. Texture and Motion Pattern Fusion for Background Subtraction. 11th Joint Conference on Information Science (JCIS 2008), Track on 9th International Conference on Computer Vision, Pattern Recognition and Image Processing (CVPRIP 2008), Atlantis Press, December 15-20, Shenzhen, China (ISTP).

165. Bineng Zhong et al. Kernel Learning of Histogramof Local Gabor Phase Patterns for Face Recognition. EURASIP Journal on Advances in Signal Processing, Volume 2008 (SCI四区).

166. Bineng Zhong et al. Sigma Set Based Implicit Online Learning for Object Tracking. IEEE Signal Processing Letters, 2010, 17(9), pp. 807-810 (SCI二区，中国计算机学会推荐C类期刊).

167. Bineng Zhong et al. Complex Background Modeling and Motion Detection Based on Texture Pattern Flow. IEEE International Conference on Pattern Recognition, ICPR 2008, pp.1-4 (EI,计算机视觉和模式识别国际重要会议,中国计算机学会推荐C类会议).

168. Bineng Zhong et al. A Determined Level Set Method Based on Mean Shift for Contour Tracking. The 2010 Pacific-Rim Conference on Multimedia, PCM 2010, pp.425-436 (EI，计算机视觉和模式识别国际重要会议，中国计算机学会推荐C类会议).

169. Bineng Zhong et al. A Robust Joint Space Tracking Method Based on Particle Filter. International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010, pp.41-44 (EI).

170. Bineng Zhong et al. On-Line Discriminative Appearance Modeling for Robust Object Tracking. International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010, pp.78-81 (EI).

171. 钟必能等。在线机器学习跟踪算法的研究进展。华侨大学学报，第35卷，第1期，41-46页，2014。

172. 钟必能等。传感器网络中移动节点对路由树的覆盖研究。传感技术学报，第26卷，第9期，1293-1296页，2013。

173. 钟必能等。基于百度百科与文本分类的网络文本语义主题抽取方法。小型微型计算机系统，2012。

174. 钟必能等。一种基于本体与描述文本的网络图像语义标注方法。计算机科学，2012。

175. 张国亮、钟必能。采用受控Petri网的虚拟现实遥操作机器人系统模型。华侨大学学报，2014。

176. 钟必能等。基于张量低秩恢复和块稀疏表示的运动显著性目标提取。计算机辅助设计与图形学学报，2014。

177. 钟必能等。采用蚁群算法的移动摄像头探访规划。华侨大学学报（自然科学版），2014.

178. 钟必能等。基于运动分割和稀疏低秩分解的失真人体运动捕捉数据恢复。计算机辅助设计与图形学学报，2015年4月，第27卷第4期。

179. 钟必能等。选择性搜索和多深度模型融合的目标跟踪。华侨大学学报（自然科学版），第37卷，第2期，207-212页，2016。

180. 钟必能等。现代智能视频监控研究综述。计算机应用研究，2016年6月，第33卷第6期。

181. 钟必能等. 多生物特征融合发展现状及其展望. 小型微型计算机系统, 2017 (已接收)。

182. 钟必能等。融合分层卷积特征和尺度自适应核相关滤波目标跟踪。小型微型计算机系统，2017年9月。

183. 钟必能等. 深度神经网络在目标跟踪算法中的应用与最新研究进展. 小型微型计算机系统，2017.(已接收)。

184. 钟必能等。人体运动生成中的深度学习模型综述。计算机辅助设计与图形学学报，2018年6月，第30卷6期。

185. 钟必能等. 结合有监督联合一致性自编码器的跨音视频说话人标注. 电子与信息学报, 2018, 40(7): 1635-1642。

186. 钟必能等. 结合双流深度网络和双向五元组损失的跨人脸-语音匹配方法. 计算机研究与发展, 2021, 第58卷。

187. 钟必能等. 基于孪生网络的目标跟踪算法研究进展. 广西师范大学学报（自然科学版）, 2022。

[出版专著、教改论文与学位论文]

[1] 钟必能等。视觉运动目标理解与分析（专著）。ISBN号：978-7-5598-5965-5，广西师范大学出版社，2024年。

[2] 钟必能等。操作系统原理与实践(教材)。ISBN号：978-7-5598-6040-8，广西师范大学出版社，2023年。

[3] 钟必能等。新工科背景下融合创新创业教育的“操作系统”课程教学改革探索。济宁学院学报，2024年12月第6期，45（6）：94-101.

[4]钟必能等。融入积极心理学的《人工智能基础》课程思政建设探索与实践。电脑校园，2023年10月。

[5] 钟必能等。人工智能时代数字图像处理的教学改革。《科学咨询》(教育科研)，2021 年 9 月。

[6] 钟必能等。机器学习算法教学钟的理论与实践探讨。福建电脑，2019年7月，35（7）：44-45。

[7] 钟必能等。基于工程教育专业认证的培养目标和毕业要求制定—以华侨大学计算机科学与技术专业为例。华侨高等教育研究，2017年11月第2期。

[8]钟必能等。计算机等级考试三级（偏软）考试指导书。厦门大学出版社， 2011年，ISBN 978-7-5615-3980-4/T·190。

[9] 钟必能等。华侨高等教育研究，2014年5月第1期。

[10] 张惠臻、谢维波、钟必能。基于FPGA可编程平台的计算机硬件实验教学.。计算机教育。2014年第15期。

[11] 钟必能。基于逐步简化的测井解释成果图矢量化的研究与实现。硕士论文，哈尔滨工业大学， 2006。

[12] 钟必能。复杂动态场景中运动目标检测与跟踪算法研究。博士论文，哈尔滨工业大学，2010。

二. 发明专利

（1）钟必能等。一种基于条件扩散模型的遥感图像显著性目标检测方法。发明专利（正在受理，202410134564.8）

（2）钟必能等。一种结合嵌入式硬件信息的深度学习目标检测方法。发明专利（已授权，专利申请号202110491544.2）。

（3）钟必能等。一种基于计算机视觉目标检测的低功耗实时头盔检测方法。发明专利（实审，专利申请号202110536218.9）。

（4）钟必能等。基于视觉目标检鲁棒性检测的两阶段商标识别方法。发明专利（实审，专利申请号202110895858.9）。

（5）钟必能等。基于视觉检测和重识别的多源两阶段菜品识别方法。发明专利（已授权，专利申请号202110441072.X）。

（6）钟必能等。一种基于计算机视觉半监督伪标签学习的小麦头检测方法。发明专利（已授权，专利申请号202110849609.6）。

（7）钟必能等。超像素的狄利克雷混合模型图像分割方法,装置及设备。发明专利（正在受理，202011038459）。

（8）钟必能等。基于超像素的遥感图像提取方法、装置、设备及存储介质。发明专利（正在受理，专利申请号：202010794623.6）。

（9）钟必能等。基于稀疏表示的图像分割方法、装置、设备及存储介质。发明专利（正在受理，专利申请号：202010794337.X）。

（10）钟必能等。一种结合多视角注意力机制的细粒度视觉问答方法。发明专利（正在受理，CN201910927585.4）。

（11）钟必能等。一种基于图像集的目标跟踪算法。发明专利（已授权，专利申请号201410251910.7）。

（12）钟必能等。一种基于高阶偏最小二乘法的目标跟踪算法。发明专利（已授权，专利申请号201410279523.4）。

（13）钟必能等。一种超声图像中运动探针检测和定位方法。发明专利（已授权，专利申请号2014105075625）。

（14）钟必能等。基于K-MEDOIDS项目聚类和局部兴趣融合的用户协同过滤推荐方法。发明专利（已授权，专利申请号：201510705659.1）。

（15）钟必能等。一种声振载荷联合施加的试验装置及其载荷识别。发明专利（已授权，专利申请号201510377630.5）。

（16）钟必能等。一种基于机器学习的网络用户安全状态评估方法。发明专利（已授权，CN201610479747.9）。

（17）钟必能等. 一种手机打车的订单自动选择方法。发明专利（已授权，专利申请号201510236530.0）。

（18）钟必能等。一种行车跟随方法和系统。发明专利（已授权，专利申请号2015102367448）。

（19）钟必能等。基于缺损数据的非线性特征提取和分类方法。发明专利（已授权， 2016104988029）。

（20）钟必能等. 一种基于多移动基站的传感云数据收集方法。发明专利（已授权，2016106501493）。

（21）钟必能等。基于已知轨道的多摄像头的合作接力监控方法。发明专利（已授权，专利申请号2017103521926）。

（22）钟必能等。一种轻量级的多方会议混音方法和装置。发明专利（正在受理，专利申请号：201410414450.5）。

（23）钟必能等。一种基于UDP传输实现监控功能的应用层协议。发明专利（正在受理，专利申请号：201510008776.2）。

（24）钟必能等。一种用于实现监控应用功能的V6协议。（正在受理）

（25）钟必能等。一种时变结构工作模态参数识别方法、装置及应用。（正在受理）

（26）钟必能等。一种归一化PSO随机优化算法及协同过滤推荐方法。发明专利（等待实审提案，专利申请号：201610395724X）。

（27）钟必能等。一种基于分布式选举的移动锚点定位方法。发明专利（正在受理，专利申请号：2016108125076）。

三. 软件著作权

[1] 钟必能等。基于EfficientNet与ResNet融合的苹果叶病虫害识别系统。登记号：2022SR0154929。开发完成时间：2021年11月20日。

[2] 钟必能等。基于安卓开发的语音听写便签软件。登记号：2022SR0333405。开发完成时间：2021年6月30日。

[3] 钟必能等。基于微信小程序的学习系统。登记号：2022SR0333379。开发完成时间：2021年6月30日。

[4] 钟必能等。基于ConvNeXt的大豆杂草识别系统。登记号：2022SR0918936。开发完成时间：2022年3月16日。

[5] 钟必能等。基于CycleMLP的森林防火智能预警系统。登记号：2022SR0918935。开发完成时间：2022年3月20日。

[6] 钟必能等。基于Transformer的猪只识别系统。登记号：2022SR0918937。开发完成时间：2022年3月16日。

[7] 钟必能等。基于深度学习的远海船舶识别系统。登记号：2022SR0918938。开发完成时间：2022年3月18日。

[8] 钟必能等。基于EfficientNetB4的农作物病虫害识别系统。登记号：2023SR1124525。开发完成时间：2023年4月20日。

[9] 钟必能等。基于UperNet与ResNet的人类生物分子图谱器官分割系统。登记号: 2023SR1141954。开发完成时间:2023年1月20日

[10] 钟必能等。基于YOLOv5与LPRNet的车牌识别系统。登记号：2023SR1134869。开发完成日期： 2023年4月21日。

[11] 钟必能等。基于Pvt_v2的水稻卷叶螟检测系统。登记号：2023SR1156765。开发完成时间: 2023年4月20日。

[12] 钟必能等。基于深度学习的老照片修复系统。登记号：2023SR0761614。开发完成时间：2023年3月1日。

[13] 钟必能等。桂林山石滚落实时预警系统。登记号：2023SR0868631。开发完成时间：2023年4月10日。

[14] 钟必能等。基于NanoDet-Plus的林业病虫害检测系统。登记号：2024SR1075459。开发完成时间：2024年7月29日。

[15] 钟必能等。基于SegFormer与Transformer的洪水灾害智能检测系统。登记号：2024SR1075961。开发完成时间：2024年7月29日。

[16] 钟必能等。基于YOLOv5的甘蔗田作物行实时检测系统。登记号：2024SR1109190。开发完成时间：2024年8月2日。

[17] 钟必能等。基于条件扩散模型的遥感图像甘蔗种植区域分割系统。登记号：2024SR1110687。开发完成时间：2024年8月2日。