中山大學計算機學院教授、博士生導師，機器智能與先進計算教育部重點實驗室研究員
主要研究方向：人工智能、智能物聯(lián)網(wǎng)、機器人集群。
目前作為項目負責人承擔國家自然科學基金面上項目研究，作為項目骨干參加了國家自然科學基金重大項目和國家科技計劃重點研發(fā)項目。近年在頂級國際會議和期刊包括IEEE IOT、TPDS、TWC、TKDE、TCSVT、ACM TWEB、INFOCOM等發(fā)表論文40余篇，曾獲IEEE WCNC最佳論文獎，ISSNIP 最佳論文獎。
主講的中國大學慕課《人工智能原理與實踐》（課程鏈接：https://www.icourse163.org/course/SYSU-1463217175） 在線課提供了大量課件、視頻、課題及方法和源程序，該課程于2022年評定為廣東省一流課程。曾獲2021年中山大學教學成果獎，2020年秋季學生評教成績得分為99.28分，全校排名前0.03%；吳賀俊主持了多項教改項目，2016年主持的廣東省物聯(lián)網(wǎng)慕課教改項目獲得優(yōu)秀結(jié)題，教改論文獲2022中國計算機教育大會最佳論文獎-特等獎；在2021年華為杯物聯(lián)網(wǎng)大賽、2019 DEECAMP創(chuàng)新工場訓練營被評為優(yōu)秀導師。
學術(shù)服務(wù)：
CCF物聯(lián)網(wǎng)專業(yè)委員會委員，CCF高級委員，教育部新工科聯(lián)盟A19工委秘書長
近五年主持的主要項目：
（1）國家自然基金面上項目“智能移動傳感網(wǎng)自主決策定位與充電關(guān)鍵技術(shù)研究”（62272497），2023.1-2026.12，項目主持；
（2）廣州市民生科技項目“基于農(nóng)業(yè)物聯(lián)網(wǎng)的大數(shù)據(jù)服務(wù)平臺建設(shè)”，2020.4-2024.3，項目主持；
（3）梅州市引進重大科技創(chuàng)新平臺項目“面向基層大健康的人工智能輔助多疾病防治康復(fù)平臺”，2020.1-2022.12，課題主持；
（4）國家自然基金面上項目“大規(guī)模異構(gòu)傳感網(wǎng)絡(luò)復(fù)雜事件監(jiān)測分析關(guān)鍵技術(shù)研究”（61672552），2017.1-2020.12，項目主持；
（5）***交通技術(shù)(**)有限公司技術(shù)開發(fā)項目“***交通****系統(tǒng)故障預(yù)測算法開發(fā)”，2022.12-2023.6，項目主持；
（6）****煤礦機械制造有限公司技術(shù)開發(fā)項目“傳送帶鏈條拉伸監(jiān)測和疲勞破壞預(yù)警”，2022.4-2023.3，項目主持。
主要發(fā)表論文
一、 5篇代表性論著：
[1]Hejun Wu; Xinchuan Huang; Qiong Luo; Zhongheng Yang ; PPD: A Scalable and Efficient Parallel Primal-Dual Coordinate Descent Algorithm, IEEE Transactions on Knowledge and Data Engineering(TKDE), 2022, 34(4): 1958-1966 (CCF-A類期刊)
[2]Hejun Wu; Zhimin Ding; Jiannong Cao ; GROLO: Realistic Range-based Localization for Mobile IoTs through Global Rigidity, IEEE Internet of Things Journal(IOT), 2019, 6(3): 5048-5057(中科院一區(qū)期刊)
[3]Hejun Wu; Ao Ding; Weiwei Liu; Lvzhou Li; Zheng Yang ; Triangle Extension: Efficient Localizability Detection in Wireless Sensor Networks, IEEE Transactions on Wireless Communications(TWC), 2017, 16(11): 7419-7431 (中科院一區(qū)期刊)
[4]Hejun Wu; Zhongheng Yang; Jiannong Cao; Liqian Lai ; TRiForm: Formation Control for Underwater Sensor Networks With Measurement Errors, IEEE Transactions on Vehicular Technology(TVT), 2020, 69(7): 7679-7691 (JCR-Q1期刊)
[5]Hejun Wu; Baiyun Xu; Jiannong Cao; Yongkang Wang; Zhongheng Yang ; FlagLoc: Localization Using a Flag for Mobile Wireless Sensor Networks with Measurement Errors, 2020 17th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON),(CCF B類物聯(lián)網(wǎng)頂會)
二、 物聯(lián)網(wǎng)相關(guān)論文：
[1]Yongheng Liang（指導碩士生）, 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 多智能體系統(tǒng)頂會)
[2]Yuxin Chen（指導碩士生）, 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) ,(CCF B類物聯(lián)網(wǎng)頂會)
[3]Rong Gao, Zhongheng Yang, Hejun Wu*: “A Lightweight Neural Network Localization Algorithm for Structureless Wireless Sensor Networks.” 13th Wireless sensor networks conference,2019,275-288.
[4]Hejun Wu, Jiannong Cao, Xiaopeng Fan: Dynamic collaborative in-network event detection in wireless sensor networks. Telecommunication Systems, 2016,62(1): 43-58.
[5]Hejun Wu*, Jiannong Cao, Xuefeng Liu, Yang Liu: Dual-Mote: A Sensor Network testbed for high rate sensing-transmission and runtime evaluation. 2011 IEEE Wireless Communications and Networking Conference,2011: 2048-2053 （最佳論文獎）
[6]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 2010,4(3): 339-353.
[7]Hejun Wu, Qiong Luo: Adaptive holistic scheduling for query processing in sensor networks. J. Parallel Distrib. Comput. 2010,70(6): 657-670.
[8]Hejun Wu, Qiong Luo, Jianjun Li, Alexandros Labrinidis: Quality aware query scheduling in wireless sensor networks. Proceedings of the Sixth International Workshop on Data Management for Sensor Networks,2009.
[9]Hejun Wu, Qiong Luo, Pei Zheng, Lionel M. Ni: VMNet: Realistic Emulation of Wireless Sensor Networks. IEEE Trans. Parallel Distrib. Syst. (TPDS) 2007,18(2): 277-288.
[10]Hejun Wu, Qiong Luo: Supporting Adaptive Sampling in Wireless Sensor Networks. IEEE Wireless Communications and Networking Conference, 2007: 3442-3447.
[11]Hejun Wu, Qiong Luo, Wenwei Xue: Distributed Cross-Layer Scheduling for In-Network Sensor Query Processing. Fourth Annual IEEE International Conference on Pervasive Computing and Communications, 2006: 180-189.
三、 其他論文：
[1]Haoli Wang（指導碩士生）, Hejun Wu*, and Guoming Lai, "WagerWin: An Efficient Reinforcement Learning Framework for Gambling Games."in IEEE TRANSACTIONS ON GAMES，2022 CCF-C 期刊
[2]Ruoqi Wang（指導本科生）, 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 國際會議
[3]Ziwang Huang（指導碩士生）, 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.醫(yī)學圖像頂級會議
[4]祝一帆（指導碩士生）;王海濤;李可;吳賀俊*，“一種高精度路面裂縫檢測網(wǎng)絡(luò)結(jié)構(gòu)：Crack U-Net，”《計算機科學》，2021,49(1):204-211. CCF-B 中文科技期刊
[5]Hejun Wu, Rong Gao, Yeong Poh Sheng, Bo Chen, 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.2020，62: 101640.（中科院一區(qū)期刊）
[6]Guanbin Li, Yukang Gan, Hejun Wu, Nong Xiao, Liang Lin: “Cross-Modal Attentional Context Learning for RGB-D Object Detection.” IEEE Trans. Image Processing 2019,28(4): 1591-1601（中科院一區(qū)期刊）
[7]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,JCR一區(qū)
[8]Huanhuan Wu, James Cheng, Yiping Ke, Silu Huang, Yuzhen Huang, Hejun Wu: “Efficient Algorithms for Temporal Path Computation.” IEEE Trans. Knowl. Data Eng. 2016，28(11): 2927-2942 , (CCF-A類期刊)
[9]Jiahao Li, Hejun Wu*, Xinrui Zhou: “PeMapNet: Action Recognition from Depth Videos Using Pyramid Energy Maps on Neural Networks.” IEEE 29th International Conference on Tools with Artificial Intelligence,2017, 80-87.
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廣州大學城
