吳賀俊:人物經歷,研究領域,獲獎記錄,科研項目,教授課程,代表性論著,已授權專利,

吳賀俊，教授，博士生導師，香港科技大學博士、博士後，香港理工大學博士後。在人工智慧、智慧型物聯網、機器人集群方面開展了深入的研究工作。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，作為項目骨幹參加了國家自然科學基金重大項目和國家科技計畫重點研發項目。近年在頂級國際會議和期刊包括IEEE IOT、TPDS、TWC、TKDE、TCSVT、ACM TWEB、INFOCOM等發表論文40餘篇，曾獲IEEE WCNC最佳論文獎，ISSNIP 最佳論文獎。

基本介紹

中文名：吳賀俊
畢業院校：香港科技大學
學位/學歷：博士
職業：教師
專業方向：人工智慧、智慧型物聯網、機器人集群
職稱：教授

人物經歷,研究領域,獲獎記錄,科研項目,教授課程,代表性論著,已授權專利,發表論文,

人物經歷

香港科技大學博士、博士後；香港理工大學博士後。在人工智慧、智慧型物聯網、機器人集群方面開展研究工作。

主講的中國大學慕課《人工智慧原理與實踐》線上課提供了大量課件、視頻、課題及方法和源程式，該課程於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網慕課教改項目獲得優秀結題，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年華為杯物聯網大賽、2019 DEECAMP創新工場訓練營被評為優秀導師。

研究領域

研究方向是機器感知與學習，主要研究如何套用機器學習解決機器人集群和智慧型物聯網等領域的科學問題。

獲獎記錄

2011年IEEE WCNC Best Paper

科研項目

國家自然基金面上項目“智慧型移動感測網自主決策定位與充電關鍵技術研究”（62272497），2023.1-2026.12，吳賀俊（主持）；
廣州市民生科技項目“基於農業物聯網的大數據平台”，吳賀俊（主持），2020.1-2024.03，吳賀俊（主持）；
***交通技術(**)有限公司技術開發項目“***交通TBDS系統故障預測算法開發”，2022.12-2023.6，吳賀俊（主持）；
****煤礦機械製造有限公司技術開發項目“傳送帶鏈條拉伸監測和疲勞破壞預警”，2022.4-2023.3，吳賀俊（主持）；
廣東省科技專項資金項目“面向基層大健康的人工智慧輔助多疾病防治康復平台”， 2020.1-2022.12，吳賀俊（課題主持）；
國家自然基金面上項目“大規模異構感測網路複雜事件監測分析關鍵技術研究”（61672552），吳賀俊（主持），2017.1-2020.12，結題；
國家重點研發計畫高性能計算重點專項 “基於國家高性能計算環境的教育實踐平台”（2016YEB0201900）吳賀俊（項目骨幹，第三申請人）2016.1 －2020.12；
國家重點研發計畫項目“面向E級計算機的大型流體機械並行計算軟體系統及示範” （2016YFB0200900）吳賀俊（參與）， 2016.1 －2020.12。

教授課程

廣東省一流本科課程（線上）《人工智慧原理與實踐》

可在中國大學MOOC學習: https://www.icourse163.org/course/SYSU-1463217175

2022：

人工智慧實踐

作業系統原理與實驗

2021：

多智慧型體集群控制技術

人工智慧導論

2020：

高等代數：第一章（課件複習）第二章（課件複習）第三章（課件複習）第四章（課件複習）第五章（課件）第六章（課件）第七章（課件）

省級線上課程《人工智慧原理》

研究生課程《智慧型科學與技術》

2019：

高等代數

2018：

隨機過程

2017:

機率論與數理統計

高等代數

代表性論著

已授權專利

[1] 《基於文本描述信息和生成對抗網路的視頻生成模型》發明（設計）人：吳賀俊；練紫瑩。專利類型：發明，專利號：ZL201810411742.1

[2] 《一種基於雙層LSTM神經網路的動作識別方法》發明（設計）人：林冠豪；吳賀俊。專利類型：發明，專利號：201810998284.6

[3] 《一種無線感測器網路節點定位檢測方法》發明（設計）人：吳賀俊;丁奧。專利類型：發明，專利號：201611208209.2

[4] 《一種基於SEHM特徵圖序列的動作識別方法》發明（設計）人：吳賀俊;李嘉豪。專利類型：發明，專利號：201611110573.5

[5] 《一種智慧型終端上的人工智慧自然語言運行系統》發明（設計）人：吳賀俊;歐展飛;劉偉偉;趙勇健;葉浩榮。專利類型：發明，專利號：201210289969.6

發表論文

2022

[c25] 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 國際會議

[c24] 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 多智慧型體系統頂會)

[j24] Haobang Liang , Jiao Li , Hejun Wu , Li Li, Xinrui Zhou and Xinhua Jiang,“Mammographic Classification of Breast Cancer Microcalcifications through Extreme Gradient Boosting”，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

[c22]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.醫學圖像頂級會議

[j21]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路結構：Crack U-Net，”《計算機科學》，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), DOI: 10.1109/SECON52354.2021.9491594，2021.CCF-B 國際會議

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頂級期刊，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頂級期刊

[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頂級期刊

[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 國際會議

2019

[j17]Feng Zhou, Yushi Li, Hejun Wu, Zhimin Ding , and Xiying Li, ProLo: Localization via Projection for Three-Dimensional Mobile Underwater Sensor Networks Sensors2019,19(6), 1414;

[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 Processing28(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

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

吳賀俊