Wu Hejun

Publications：

2025

[c34] Haitao Wang（指导博士生）, Hejun Wu*. DisPIM: Distilling PreTrained Image Models for Generalizable Visuo-Motor Control. In International Joint Conference on Artificial Intelligence (IJCAI), 2025. Accepted. CCF-A 国际会议.

[c33] Yongheng Liang（指导博士生）, Hejun Wu*, Haitao Wang and Hao Cai. “Asynchronous Credit Assignment for Multi-Agent Reinforcement Learning.” In International Joint Conference on Artificial Intelligence (IJCAI), 2025. Accepted. CCF-A 国际会议.

[c32] Ruoqi Wang, Haitao Wang, Qiong Luo, Feng Wang, Hejun Wu, VisRec: A Semi-Supervised Approach to Radio Interferometric Data Reconstruction. 39th Annual AAAI Conference on Artificial Intelligence(AAAI), 2025. Accepted. CCF-A 国际会议. 

[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

2024

[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