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中山大學(xué)計(jì)算機(jī)學(xué)院教授、博士生導(dǎo)師,，機(jī)器智能與先進(jìn)計(jì)算教育部重點(diǎn)實(shí)驗(yàn)室研究員
主要研究方向：人工智能,、智能物聯(lián)網(wǎng),、機(jī)器人集群,。
目前作為項(xiàng)目負(fù)責(zé)人承擔(dān)國(guó)家自然科學(xué)基金面上項(xiàng)目研究,，作為項(xiàng)目骨干參加了國(guó)家自然科學(xué)基金重大項(xiàng)目和國(guó)家科技計(jì)劃重點(diǎn)研發(fā)項(xiàng)目,。近年在頂級(jí)國(guó)際會(huì)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(jiǎng),，ISSNIP 最佳論文獎(jiǎng)。
主講的中國(guó)大學(xué)慕課《人工智能原理與實(shí)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(píng)定為廣東省一流課程,。曾獲2021年中山大學(xué)教學(xué)成果獎(jiǎng)，2020年秋季學(xué)生評(píng)教成績(jī)得分為99.28分,，全校排名前0.03%,；吳賀俊主持了多項(xiàng)教改項(xiàng)目，2016年主持的廣東省物聯(lián)網(wǎng)慕課教改項(xiàng)目獲得優(yōu)秀結(jié)題,，教改論文獲2022中國(guó)計(jì)算機(jī)教育大會(huì)最佳論文獎(jiǎng)-特等獎(jiǎng),；在2021年華為杯物聯(lián)網(wǎng)大賽、2019 DEECAMP創(chuàng)新工場(chǎng)訓(xùn)練營(yíng)被評(píng)為優(yōu)秀導(dǎo)師,。
學(xué)術(shù)服務(wù)：
CCF物聯(lián)網(wǎng)專業(yè)委員會(huì)委員,，CCF高級(jí)委員，教育部新工科聯(lián)盟A19工委秘書長(zhǎng)
近五年主持的主要項(xiàng)目：
（1）國(guó)家自然基金面上項(xiàng)目“智能移動(dòng)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(xiàng)目主持；
（2）廣州市民生科技項(xiàng)目“基于農(nóng)業(yè)物聯(lián)網(wǎng)的大數(shù)據(jù)服務(wù)平臺(tái)建設(shè)”,，2020.4-2024.3,，項(xiàng)目主持；
（3）梅州市引進(jìn)重大科技創(chuàng)新平臺(tái)項(xiàng)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(tái)”,，2020.1-2022.12,，課題主持；
（4）國(guó)家自然基金面上項(xiàng)目“大規(guī)模異構(gòu)傳感網(wǎng)絡(luò)復(fù)雜事件監(jiān)測(cè)分析關(guān)鍵技術(shù)研究”（61672552）,，2017.1-2020.12,，項(xiàng)目主持；
（5）***交通技術(shù)(**)有限公司技術(shù)開發(fā)項(xiàng)目“***交通****系統(tǒng)故障預(yù)測(cè)算法開發(fā)”,，2022.12-2023.6,，項(xiàng)目主持；
（6）****煤礦機(jī)械制造有限公司技術(shù)開發(fā)項(xiàng)目“傳送帶鏈條拉伸監(jiān)測(cè)和疲勞破壞預(yù)警”,，2022.4-2023.3,，項(xiàng)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(huì))
二,、 物聯(lián)網(wǎng)相關(guān)論文：
[1]Yongheng Liang（指導(dǎo)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(huì))
[2]Yuxin Chen（指導(dǎo)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(huì))
[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(jiǎng)）
[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(dǎo)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(dǎo)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(guó)際會(huì)議
[3]Ziwang Huang（指導(dǎo)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(xué)圖像頂級(jí)會(huì)議
[4]祝一帆（指導(dǎo)碩士生）;王海濤;李可;吳賀俊*，“一種高精度路面裂縫檢測(cè)網(wǎng)絡(luò)結(jié)構(gòu)：Crack U-Net,，”《計(jì)算機(jī)科學(xué)》,，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(xué)城
