吴贺俊

教师简介: 

吴贺俊，教授、博士生导师，机器智能与先进计算教育部重点实验室、信息技术教育部重点实验室骨干研究员，广东省大数据重点实验室副主任，jbo竞博电竞官方网站联合研究平台副主任，中国计算机学会（CCF）高级会员，教育部新工科联盟工委秘书长、广东省医疗行业协会急诊科管理分会主任委员。吴贺俊教授作为项目负责人主持多项国家自然科学基金面上项目，并作为骨干成员参与国家自然科学基金重大项目和国家重点研发计划项目。 

吴贺俊教授的研究领域涵盖人工智能、机器人、机器人集群、智能物联网等，具体包括：多智能体强化学习、自主移动机器人集群博弈，以及自然语言、语音、视频等多模态数据分析与人工智能医学诊疗、智能交通等交叉学科应用和大模型应用等。近年来，他在IEEE TMC、TPDS、TKDE、TWC、TCSVT、TVT、TGAMES、ACM TWEB等顶级国际期刊，以及IEEE INFOCOM、AAMAS、ICRA、ICME、ECM、MIA、MICCAI等知名国际会议上发表多篇学术论文，曾获IEEE WCNC最佳论文奖、ISSNIP最佳论文奖。 

在人工智能科研与教学方面，吴贺俊教授入选2022-2023年“高校计算机专业优秀教师奖励计划”，获评全国计算机专业优秀教师奖。他主讲的中国大学慕课《人工智能原理与实践》于2022年被评为广东省一流课程。其教改论文获2022年中国高校计算机教育大会最佳论文特等奖，《人工智能》课程获评中国计算机教育大会课程配套特等奖。此外，吴贺俊教授在多项大学生人工智能竞赛中被评为优秀导师。 

研究领域: 

人工智能、机器人集群、智能医疗、智能交通、智能物联网

获奖及荣誉: 

2023-11 获评中国教师发展基金会2022-2023年度“高校计算机专业优秀教师奖励计划”

2023-04 课程《人工智能》获第四届中国计算机教育大会计算机类教学资源建设优秀课程配套资源，特等奖

2022-07 教改论文《人工智能原理与实践MOOC教学的课程设计与建设》获CCEC2022中国高校计算机教育大会的会议最佳论文（15/400）

2011： IEEE WCNC Best Paper

科研项目: 

1. 国家自然基金面上项目，2023.1-2026.12，吴贺俊（主持）；
2. 广州市民生科技计划项目，2020.1-2024.03，吴贺俊（主持）；
3. ***交通技术(**)有限公司技术开发项目，2022.12-2023.6，吴贺俊（主持）；
4. ****煤矿机械制造有限公司技术开发项目，2022.4-2023.3，吴贺俊（主持）；
5. 广东省科技专项资金项目， 2020.1-2022.12，吴贺俊（课题主持）；
6. 国家自然基金面上项目，吴贺俊（主持），2017.1-2020.12，结题；
7. 国家重点研发计划高性能计算重点专项，吴贺俊（项目骨干，第三申请人），2016.1 －2020.12；
8. 国家重点研发计划项目， 吴贺俊（参与），2016.1 －2020.12。

主要学术兼职: 

CCF物联网专业委员会委员，CCF高级委员，教育部新工科联盟A19工委秘书长、广东省医疗行业协会急诊科管理分会主任委员

教授课程: 

广东省一流本科课程（线上）《人工智能原理与实践》（可在中国大学MOOC学习: https://www.icourse163.org/course/SYSU-1463217175）、高等代数： 第一章（课件  复习） 第二章（课件  复习）第三章（课件  复习） 第四章（课件  复习 ）第五章（课件  ） 第六章（课件  ）第七章（课件  ）、研究生课程《机器学习》、数据结构与算法、操作系统原理与实验、多智能体集群控制技术、人工智能实践、人工智能导论、研究生课程《智能科学与技术》、随机过程、概率论与数理统计、机器人导论

代表性论著: 

发表论文：

2024

[j26] Zijun Ou (指导硕士生), Haitao Wang, Bin Zhang, Haobang Liang, Bei Hu, Longlong Ren, Yanjuan Liu, Yuhu Zhang, Chengbo Dai, Hejun Wu*, Weifeng Li, Xin Li: Early identification of stroke through deep learning with multi-modal human speech and movement data. Neural Regeneration Research, 2025: 20(1):p 234-241. JCR-Q1期刊

[c31] Xiaochun Wu (指导硕士生), Haitao Wang, Hejun Wu*: Causal ATTention Multiple Instance Learning for Whole Slide Image Classification. The 16th Asian Conference on Machine Learning(ACML), 2024.

[c30] Biao Wu (指导硕士生), Haitao Wang, Hejun Wu*: Task-Aware Lipschitz Confidence Data Augmentation in Visual Reinforcement Learning From Images. IEEE International Conference on Multimedia and Expo(ICME), 2024. CCF-B 国际会议

[c29] Hong Ding (指导硕士生), Qingyi Liu, Haitao Wang, Hejun Wu*: Retrieve-or-Copy: Enhancing Chinese Spelling Check with Retrieval and Copy Mechanism. Natural Language Processing and Chinese Computing - 13th National CCF Conference (NLPCC) (4) 2024: 3-15.

[c28] Haitao Wang（指导博士生）, Hejun Wu*: ApmNet: Toward Generalizable Visual Continuous Control with Pre-trained Image Models. Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference (ECML/PKDD) (3) 2024: 127-142. CCF-B 国际会议

2023

[c27] Haitao Wang（指导博士生）, Hejun Wu*,"Improving Visual Reinforcement Learning with Discrete Information Bottleneck Approach." in European Conference on Artificial Intelligence (ECAI), 372: 2451-2458, 2023.CCF-B 国际会议

[c26] Jian Wang（指导硕士生）, Haitao Wang, Hejun Wu*，“VMBRL3: A Simple Visual Model-based Reinforcement Learning Framework for Continuous Control.” in European Conference on Artificial Intelligence (ECAI), 372: 2467-2474, 2023.CCF-B 国际会议

[j25] Yongheng Liang（指导博士生）; Hejun Wu*; Haitao Wang, "Asynchronous Multi-Agent Reinforcement Learning for Collaborative Partial Charging in Wireless Rechargeable Sensor Networks."in IEEE Transactions on Mobile Computing(TMC) （DOI: 10.1109/TMC.2023.3299238）, 2023. (CCF-A类期刊)

2022

[c25] Haoli Wang（指导硕士生）, Hejun Wu*, and Guoming Lai, "WagerWin: An Efficient Reinforcement Learning Framework for Gambling Games."in IEEE TRANSACTIONS ON GAMES.

[c24] Yongheng Liang（指导硕士生）, Hejun Wu*, Haitao Wang, "ASM-PPO: Asynchronous and Scalable Multi-Agent PPO for Cooperative Charging." in 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2022: 798-806. (CCF-B 多智能体系统顶会)

[j24] Haobang Liang  , Jiao Li , Hejun Wu* , Li Li, Xinrui Zhou  and Xinhua Jiang,“Mammographic Classification of Breast Cancer Microcalcifications through Extreme Gradient Boosting”，Electronics，2022，11(15)：2435.

[j23] Haobang Liang , Hao Cai , Hejun Wu* , Fanhua Shang , James Cheng and Xiying Li,“ASPDC: Accelerated SPDC Regularized Empirical Risk Minimization for Ill-Conditioned Problems in Large-Scale Machine Learning”，Electronics，2022，11(15)：2382.

2021

[c23] Ruoqi Wang（指导本科生）, Ziwang Huang, Haitao Wang, Hejun Wu*，"AMMASurv: Asymmetrical Multi-Modal Attention for Accurate Survival Analysis with Whole Slide Images and Gene Expression Data",in IEEE International Conference on Bioinformatics and Biomedicine (BIBM),2021.CCF-B 国际会议

[c22]Ziwang Huang（指导硕士生）, Hua Chai, Ruoqi Wang, Haitao Wang, Yuedong Yang, Hejun Wu*, "Integration of Patch Features through Self-Supervised Learning and Transformer for Survival Analysis on Whole Slide Images," in 24 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI (8) 2021: 561-570)，2021.医学图像顶级会议

[j21]祝一帆（指导硕士生）;王海涛;李可;吴贺俊，“一种高精度路面裂缝检测网络结构：Crack U-Net，”《计算机科学》，http://kns.cnki.net/kcms/detail/50.1075.tp.20210819.1624.020.html，2021.CCF-B 中文科技期刊

[c21]Yuxin Chen（指导硕士生）, Hejun Wu*, Yongheng Liang, Guoming Laiz,  "VarLenMARL: A Framework of Variable-Length Time-Step Multi-Agent Reinforcement Learning for Cooperative Charging in Sensor Networks," in 2021 18th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON), DOI: 10.1109/SECON52354.2021.9491594，2021.CCF-B 国际会议

2020

[j20] Hejun Wu*, Xinchuan Huang, Qiong Luo, “PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm ,” in IEEE Transactions on Knowledge and Data Engineering (TKDE  10.1109 / TKDE.2020.3000905),  2020. SCI顶级期刊，CCF-A  

[j19] Hejun Wu*, Zhongheng Yang, Jiannong Cao, Liqian Lai, "TRiForm: Formation Control for Underwater Sensor Networks with Measurement Errors," in IEEE Transactions on Vehicular Technology, (10.1109/TVT.2020.2989363), 2020.  SCI顶级期刊

[j18] Hejun Wu*, Rong Gao, Yeong Poh Sheng, Bo Chen, and Shuo Li, SDAE-GAN: Enable High-dimensional Pathological Images in Liver Cancer Survival Prediction with a Policy Gradient Based Data Augmentation Method, Medical Image Analysis, (10.1016/j.media.2020.101640), 2020.  SCI顶级期刊

[c20] Hejun Wu*, Baiyun Xu, Jiannong Cao, Yongkang Wang, Zhongheng Yang, "FlagLoc: Localization Using a Flag for Mobile Wireless Sensor Networks with Measurement Errors", SECON 2020. CCF-B 国际会议

2019

[j17] Feng Zhou, Yushi Li, Hejun Wu*, Zhimin Ding , and Xiying Li, ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks Sensors 2019, 19(6), 1414;  https://doi.org/10.3390/s19061414

[j16] Hejun Wu* ; Zhimin Ding; Jiannong Cao, GROLO: Realistic Range-based Localization for Mobile IoTs through Global Rigidity, IEEE Internet of Things Journal, DOI:10.1109/JIOT.2019.2895127 

[j15] Guanbin Li, Yukang Gan, Hejun Wu*, Nong Xiao, Liang Lin: Cross-Modal Attentional Context Learning for RGB-D Object Detection. IEEE Trans. Image Processing 28(4): 1591-1601 (2019) 

2018

[j14] Hejun Wu*, Zhenye Huang, Biao Hu, Zhi Yu, Xiying Li, Min Gao, Zhong Shen: Real-Time Continuous Action Recognition Using Pose Contexts With Depth Sensors. IEEE Access 6: 51708-51720 (2018) 

[j13] Guanbin Li, Yukang Gan, Hejun Wu*, Nong Xiao, Liang Lin: Cross-Modal Attentional Context Learning for RGB-D Object Detection. CoRR abs/1810.12829(2018) 2017

2017

[j12] Hejun Wu*, Ding Ao, Weiwei Liu, Lvzhou Li, Zheng Yang, "Triangle Extension: Efficient Localizability Detection in Wireless Sensor Networks", IEEE Trans. on Wireless Communications, vol. 16, no. 11, 2017, pp. 7419-7431.

[j11]Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu*, Liang Lin: Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection. IEEE Trans. Circuits Syst. Video Techn. 27(4): 725-738 (2017).

[c19] Jiahao Li , Hejun Wu*, Xinrui Zhou, “PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks”, ICTAI 2017.

2016

[j10]  Na Yu, Yongjian Zhao, Qi Han, Weiping Zhu, Hejun Wu*: Identification of Partitions in a Homogeneous Activity Group Using Mobile Devices. Mobile Information Systems 2016: 3545327:1-3545327:14 (2016)

[j9] Hejun Wu*, Jiannong Cao, Xiaopeng Fan: Dynamic collaborative in-network event detection in wireless sensor networks. Telecommunication Systems 62(1): 43-58 (2016)

[j8] Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu*: Efficient Algorithms for Temporal Path Computation. IEEE Trans. Knowl. Data Eng. 28(11): 2927-2942 (2016)

[c18] Cheng Chen, Hejun Wu*, Dyce Jing Zhao, Da Yan, James Cheng: SGraph: A Distributed Streaming System for Processing Big Graphs. BigCom 2016: 285-294

2015

[c17]  Huanhuan Wu, James Cheng, Yi Lu, Yiping Ke, Yuzhen Huang, Da Yan, Hejun Wu*: Core decomposition in large temporal graphs. Big Data 2015: 649-658

2014

[j7] Wenzheng Xu, Weigang Wu, Hejun Wu*, Jiannong Cao, Xiaola Lin: CACC: A Cooperative Approachto Cache Consistency in WMNs. IEEE Trans. Computers 63(4): 860-873 (2014)

2013

[j6] Weigang Wu, Jiannong Cao, Hejun Wu*, Jingjing Li: Robust and dynamic data aggregation in wireless sensor networks: A cross-layer approach. Computer Networks 57(18): 3929-3940 (2013)

[j5] Weifeng Su, Hejun Wu*, Yafei Li, Jing Zhao, Frederick H. Lochovsky, Hongmin Cai, Tianqiang Huang: Understanding query interfaces by statistical parsing. TWEB 7(2): 8 (2013)

2012

[j4] Wenwei Xue, Qiong Luo, Hejun Wu*: Pattern-based event detection in sensor networks. Distributed and Parallel Databases 30(1): 27-62 (2012)

[c14] Weigang Wu, Haiqing Liu, Hejun Wu*: RES: A Robust and Efficient Snapshot Algorithm for Wireless Sensor Networks. ICDCS Workshops 2012: 231-236

[c13] Weigang Wu, Jiannong Cao, Hejun Wu*, Jingjing Li: Robust and Dynamic Data Aggregation in Wireless Sensor Networks: A Cross-Layer Approach. UIC/ATC 2012: 306-313

2011

[c12] Wenzheng Xu, Weigang Wu, Hejun Wu*, Jiannong Cao: A Cooperative Approach to Cache Consistency Maintenance in Wireless Mesh Networks. ICPADS 2011: 512-519

[c11] Xuefeng Liu, Jiannong Cao, Steven Lai, Chao Yang, Hejun Wu*, Youlin Xu: Energy efficient clustering for WSN-based structural health monitoring. INFOCOM 2011: 2768-2776

[c10] Binbin Zhou, Jiannong Cao, Hejun Wu*: Adaptive Traffic Light Control of Multiple Intersections in WSN-Based ITS. VTC Spring 2011: 1-5

[c9] Hejun Wu*, Jiannong Cao, Xuefeng Liu, Yang Liu: Dual-Mote: A Sensor Network testbed for high rate sensing-transmission and runtime evaluation. WCNC 2011: 2048-2053 （最佳论文奖）

2010

[j3] Jiannong Cao, Hejun Wu*, Xuefeng Liu, Yi Lai: iSensNet: an infrastructure for research and development in wireless sensor networks.Frontiers of Computer Science in China 4(3): 339-353 (2010)

[j2] Hejun Wu*, Qiong Luo: Adaptive holistic scheduling for query processing in sensor networks. J. Parallel Distrib. Comput. 70(6): 657-670 (2010)

[c8] Binbin Zhou, Jiannong Cao, Xiaoqin Zeng, Hejun Wu*: Adaptive Traffic Light Control in Wireless Sensor Network-Based Intelligent Transportation System. VTC Fall 2010: 1-5

[–] 2000 – 2009

2009

[c7] Hejun Wu*, Qiong Luo, Jianjun Li, Alexandros Labrinidis: Quality aware query scheduling in wireless sensor networks. DMSN 2009

2007

[j1] Hejun Wu*, Qiong Luo, Pei Zheng, Lionel M. Ni: VMNet: Realistic Emulation of Wireless Sensor Networks. IEEE Trans. Parallel Distrib. Syst. 18(2): 277-288 (2007)

[c6] Qiong Luo, Hejun Wu*: System design issues in sensor databases. SIGMOD Conference 2007: 1182-1185

[c5] Hejun Wu*, Qiong Luo: Supporting Adaptive Sampling in Wireless Sensor Networks. WCNC 2007: 3442-3447

2006

[c4] Hejun Wu*, Qiong Luo, Wenwei Xue: Distributed Cross-Layer Scheduling for In-Network Sensor Query Processing. PerCom 2006: 180-189

2004

[c3] Qiong Luo, Lionel M. Ni, Bingsheng He, Hejun Wu*, Wenwei Xue: MEADOWS: modeling, emulation, and analysis of data of wireless sensor networks. DMSN 2004: 58-67

[c2] Wenwei Xue, Bingsheng He, Hejun Wu*, Qiong Luo: The HKUST Frog Pond - A Case Study of Sensory Data Analysis. NPC 2004: 551-558

[c1] Hejun Wu*, Qiong Luo, Pei Zheng, Bingsheng He, Lionel M. Ni: Accurate Emulation of Wireless Sensor Networks. NPC 2004: 576-583

授权专利：

[1]    吴贺俊;梁泳恒；一种基于多智能体强化学习的协同充电方法，2024-12-13，中国，202111372405.4 
[2]    张思哲;吴贺俊;韦欣典；一种面向农村电商物流的配送中心选址方法，2024-12-06，中国，202111277102.4 
[3]    吴贺俊;祝一帆；一种面向地址场景识别的离线文字识别方法，2023-07-21，中国，202011110108.8 
[4]    吴贺俊;陈育鑫；一种基于博弈论的在线协同无线充电方法，2023-07-18，中国，202110034272.3 
[5]    吴贺俊；练紫莹；基于文本描述信息和生成对抗网络的视频生成模型，2022-04-08，中国，201810411742.1 
[6]    林冠豪；吴贺俊；一种基于双层LSTM神经网络的动作识别方法，专利号：201810998284.6 
[7]    吴贺俊；李嘉豪；一种基于SEHM特征图序列的动作识别方法，2020-5-26，中国，201611110573.5 
[8]    吴贺俊；丁奥；一种无线传感器网络节点定位检测方法，2019-10-29，中国，201611208209.2 
[9]    吴贺俊；洪福强；基于传感信息及目标追踪的多模信息系统及其融合方法，2018-6-19，中国，201510234035.6 
[10]    吴贺俊;赖子舜；洪福强；基于物联网的快递追踪派送方法，专利号：201410182746.9
[11]    吴贺俊;欧展飞;刘伟伟;赵勇健;叶浩荣：一种智能终端上的人工智能自然语言运行系统，专利号：201210289969.6