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Chun Chen 0001
Person information
- affiliation (PhD 1990): Zhejiang University, College of Computer Science and Technology, Hangzhou, China
Other persons with the same name
- Chun Chen — disambiguation page
- Chun Chen 0002 — University of Utah, Salt Lake City, UT, USA (and 1 more)
- Chun Chen 0003 — University of Twente, Department of Electrical Engineeing, Signals and Systems Group, Enschede, The Netherlands
- Chun Chen 0004 — Nanjing University, School of Life Sciences, State Key Laboratory of Pharmaceutical Biotechnology, China
- Chun Chen 0005 — Changsha University of Science and Technology, College of Electrical Engineering, China (and 1 more)
- Chun Chen 0006 — Sanjiang University, School of Innovations, Nanjing, China
- Chun Chen 0007 — National Chung Hsing University, Department of Computer Science and Engineering / Institute of Networking and Multimedia, Taichung, Taiwan
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2020 – today
- 2024
- [j165]Shunyu Liu, Yanzhen Zhou, Mingli Song, Guangquan Bu, Jianbo Guo, Chun Chen:
Progressive decision-making framework for power system topology control. Expert Syst. Appl. 235: 121070 (2024) - [j164]Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. 237(Part C): 121671 (2024) - [j163]Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song, Chun Chen:
Graph Neural Networks-based hybrid framework for predicting particle crushing strength. Expert Syst. Appl. 255: 124691 (2024) - [j162]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Multi-exit self-distillation with appropriate teachers. Frontiers Inf. Technol. Electron. Eng. 25(4): 585-599 (2024) - [j161]Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen:
Transition Propagation Graph Neural Networks for Temporal Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4567-4579 (2024) - [c254]Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen:
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CVPR 2024: 7777-7786 - [c253]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. WWW 2024: 3777-3788 - [i29]Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang:
Knowledge Translation: A New Pathway for Model Compression. CoRR abs/2401.05772 (2024) - [i28]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. CoRR abs/2402.12994 (2024) - [i27]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang:
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR abs/2406.08897 (2024) - [i26]Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR abs/2407.16959 (2024) - [i25]Wujie Sun, Defang Chen, Siwei Lyu, Genlang Chen, Chun Chen, Can Wang:
Knowledge Distillation with Refined Logits. CoRR abs/2408.07703 (2024) - [i24]Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang:
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. CoRR abs/2408.08208 (2024) - 2023
- [j160]Yang Gao, Zunlei Feng, Xiaoyang Wang, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Reinforcement learning based web crawler detection for diversity and dynamics. Neurocomputing 520: 115-128 (2023) - [j159]Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen:
Adversarial gradient-based meta learning with metric-based test. Knowl. Based Syst. 263: 110312 (2023) - [j158]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: Recommendation With Informative Sampling Strategy. IEEE Trans. Knowl. Data Eng. 35(2): 2004-2018 (2023) - [j157]Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen:
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. 35(6): 6305-6319 (2023) - [j156]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. IEEE Trans. Knowl. Data Eng. 35(10): 10151-10165 (2023) - [j155]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Bound-Based Network Tomography for Inferring Interesting Path Metrics. IEEE/ACM Trans. Netw. 31(1): 1-14 (2023) - [c252]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. AAAI 2023: 15100-15108 - [c251]Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen:
Drift-aware Anomaly Detection for Non-stationary Time Series. IEEE Big Data 2023: 1095-1100 - [c250]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM 2023: 2321-2330 - [c249]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Holistic Weighted Distillation for Semantic Segmentation. ICME 2023: 396-401 - [c248]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME 2023: 810-815 - [c247]Yunzhi Hao, Yu Wang, Shunyu Liu, Tongya Zheng, Xingen Wang, Xinyu Wang, Mingli Song, Wenqi Huang, Chun Chen:
Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks. ICONIP (1) 2023: 147-160 - [c246]Yunzhi Hao, Mengfan Wang, Xingen Wang, Tongya Zheng, Xinyu Wang, Wenqi Huang, Chun Chen:
Heterogeneous Graph Prototypical Networks for Few-Shot Node Classification. ICONIP (8) 2023: 540-555 - [c245]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS 2023 - [i23]Tongya Zheng, Zunlei Feng, Tianli Zhang, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Ji Zhao, Chun Chen:
Transition Propagation Graph Neural Networks for Temporal Networks. CoRR abs/2304.07501 (2023) - [i22]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR abs/2304.07503 (2023) - [i21]Defang Chen, Zhenyu Zhou, Jian-Ping Mei, Chunhua Shen, Chun Chen, Can Wang:
A Geometric Perspective on Diffusion Models. CoRR abs/2305.19947 (2023) - [i20]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR abs/2306.10280 (2023) - [i19]Tongya Zheng, Tianli Zhang, Qingzheng Guan, Wenjie Huang, Zunlei Feng, Mingli Song, Chun Chen:
Graph Neural Networks-based Hybrid Framework For Predicting Particle Crushing Strength. CoRR abs/2307.13909 (2023) - [i18]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR abs/2308.08461 (2023) - [i17]Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen:
Fast ODE-based Sampling for Diffusion Models in Around 5 Steps. CoRR abs/2312.00094 (2023) - 2022
- [j154]Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song:
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. IEEE Trans. Knowl. Data Eng. 34(12): 6047-6060 (2022) - [c244]Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen:
Knowledge Distillation with the Reused Teacher Classifier. CVPR 2022: 11923-11932 - [c243]Wujie Sun, Qi Chen, Can Wang, Deshi Ye, Chun Chen:
Source-Free Unsupervised Domain Adaptation in Imbalanced Datasets. DSIT 2022: 1-6 - [c242]Jiamei Lv, Wei Dong, Yi Gao, Chun Chen:
Performant TCP over BLE. ICNP 2022: 1-11 - [c241]Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen:
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW 2022: 1631-1639 - [i16]Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen:
Knowledge Distillation with the Reused Teacher Classifier. CoRR abs/2203.14001 (2022) - [i15]Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen:
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR abs/2206.02963 (2022) - [i14]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR abs/2211.12039 (2022) - [i13]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. CoRR abs/2212.13725 (2022) - 2021
- [j153]Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen:
Efficient influence spread management via budget allocation at community scale. Expert Syst. Appl. 175: 114814 (2021) - [j152]Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen:
Efficient diversified influence maximization with adaptive policies. Knowl. Based Syst. 213: 106692 (2021) - [j151]Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang:
Profit maximization for competitive social advertising. Theor. Comput. Sci. 868: 12-29 (2021) - [j150]Chenhong Cao, Yi Gao, Yang Luo, Mingyuan Xia, Wei Dong, Chun Chen, Xue Liu:
AdSherlock: Efficient and Deployable Click Fraud Detection for Mobile Applications. IEEE Trans. Mob. Comput. 20(4): 1285-1297 (2021) - [j149]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. 39(3): 34:1-34:24 (2021) - [c240]Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. AAAI 2021: 7028-7036 - [c239]Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. ICBK 2021: 393-401 - [i12]Defang Chen, Can Wang, Yan Feng, Chun Chen:
Exploring the Connection between Knowledge Distillation and Logits Matching. CoRR abs/2109.06458 (2021) - [i11]Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo:
Real-time intelligent big data processing: technology, platform, and applications. CoRR abs/2111.11872 (2021) - [i10]Tongya Zheng, Zunlei Feng, Yu Wang, Chengchao Shen, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen, Hao Xu:
Learning Dynamic Preference Structure Embedding From Temporal Networks. CoRR abs/2111.11886 (2021) - [i9]Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online Adversarial Distillation for Graph Neural Networks. CoRR abs/2112.13966 (2021) - 2020
- [j148]Huikang Li, Wei Dong, Yihui Wang, Yi Gao, Chun Chen:
Enhancing the Performance of 802.15.4-Based Wireless Sensor Networks With NB-IoT. IEEE Internet Things J. 7(4): 3523-3534 (2020) - [c238]Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. AAAI 2020: 3430-3437 - [c237]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI 2020: 3470-3477 - [c236]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Bound-based Network Tomography for Inferring Interesting Link Metrics. INFOCOM 2020: 1588-1597 - [c235]Jiamei Lv, Yuxuan Zhang, Wei Dong, Yi Gao, Chun Chen:
A General Approach to Robust QR Codes Decoding. IWQoS 2020: 1-6 - [i8]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR abs/2003.01892 (2020) - [i7]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: recommendation with informative sampling strategy. CoRR abs/2011.07734 (2020) - [i6]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR abs/2011.07739 (2020) - [i5]Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. CoRR abs/2012.03236 (2020)
2010 – 2019
- 2019
- [j147]Tongya Zheng, Gang Chen, Xinyu Wang, Chun Chen, Xingen Wang, Sihui Luo:
Real-time intelligent big data processing: technology, platform, and applications. Sci. China Inf. Sci. 62(8): 82101:1-82101:12 (2019) - [j146]Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen:
Post and repost: A holistic view of budgeted influence maximization. Neurocomputing 338: 92-100 (2019) - [j145]Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen:
Social recommendation based on users' attention and preference. Neurocomputing 341: 1-9 (2019) - [j144]Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen:
Location driven influence maximization: Online spread via offline deployment. Knowl. Based Syst. 166: 30-41 (2019) - [j143]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Preferential Link Tomography in Dynamic Networks. IEEE/ACM Trans. Netw. 27(5): 1801-1814 (2019) - [c234]Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen:
Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. ICDE 2019: 1502-1513 - [c233]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW 2019: 228-239 - [i4]Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. CoRR abs/1912.00350 (2019) - 2018
- [j142]Qingqun Ning, Jianke Zhu, Chun Chen:
Very Fast Semantic Image Segmentation Using Hierarchical Dilation and Feature Refining. Cogn. Comput. 10(1): 62-72 (2018) - [j141]Wenjie Song, Yang Li, Jianke Zhu, Chun Chen:
Temporally-adjusted correlation filter-based tracking. Neurocomputing 286: 121-129 (2018) - [j140]Qingqun Ning, Zhao Liu, Jianke Zhu, Mingli Song, Jiajun Bu, Chun Chen:
Noise-aware co-segmentation with local and global priors. Neurocomputing 287: 221-231 (2018) - [j139]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Taming Both Predictable and Unpredictable Link Failures for Network Tomography. IEEE/ACM Trans. Netw. 26(3): 1460-1473 (2018) - [c232]Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang:
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM 2018: 953-962 - [c231]Gang Chen, Keyu Yang, Lu Chen, Yunjun Gao, Baihua Zheng, Chun Chen:
Metric Similarity Joins Using MapReduce (Extended Abstract). ICDE 2018: 1787-1788 - [c230]Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen:
Social Recommendation with Missing Not at Random Data. ICDM 2018: 29-38 - [c229]Chenhong Cao, Wei Gong, Wei Dong, Jihong Yu, Chun Chen, Jiangchuan Liu:
Network Measurement in Multihop Wireless Networks with Lossy and Correlated Links. INFOCOM 2018: 1340-1348 - [c228]Xin Wang, Wenwu Zhu, Chun Chen, Martin Ester:
Joint User- and Event- Driven Stable Social Event Organization. WWW 2018: 1513-1522 - 2017
- [j138]Yueting Zhuang, Fei Wu, Chun Chen, Yunhe Pan:
Challenges and opportunities: from big data to knowledge in AI 2.0. Frontiers Inf. Technol. Electron. Eng. 18(1): 3-14 (2017) - [j137]Li Sun, Ke Chen, Mingli Song, Dacheng Tao, Gang Chen, Chun Chen:
Robust, Efficient Depth Reconstruction With Hierarchical Confidence-Based Matching. IEEE Trans. Image Process. 26(7): 3331-3343 (2017) - [j136]Gang Chen, Keyu Yang, Lu Chen, Yunjun Gao, Baihua Zheng, Chun Chen:
Metric Similarity Joins Using MapReduce. IEEE Trans. Knowl. Data Eng. 29(3): 656-669 (2017) - [j135]Yi Gao, Wei Dong, Haocheng Huang, Jiajun Bu, Chun Chen, Mingyuan Xia, Xue Liu:
Whom to Blame? Automatic Diagnosis of Performance Bottlenecks on Smartphones. IEEE Trans. Mob. Comput. 16(6): 1773-1785 (2017) - [j134]Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen:
Scalable Image Retrieval by Sparse Product Quantization. IEEE Trans. Multim. 19(3): 586-597 (2017) - [j133]Wei Dong, Yi Gao, Wenbin Wu, Jiajun Bu, Chun Chen, Xiang-Yang Li:
Optimal Monitor Assignment for Preferential Link Tomography in Communication Networks. IEEE/ACM Trans. Netw. 25(1): 210-223 (2017) - [j132]Yi Gao, Wei Dong, Chun Chen, Xiaoyu Zhang, Jiajun Bu, Xue Liu:
Accurate Per-Packet Delay Tomography in Wireless Ad Hoc Networks. IEEE/ACM Trans. Netw. 25(1): 480-491 (2017) - [c227]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Taming both predictable and unpredictable link failures for network tomography. ACM TUR-C 2017: 35:1-35:10 - [c226]Huikang Li, Yi Gao, Wei Dong, Chun Chen:
Preferential link tomography in dynamic networks. ICNP 2017: 1-10 - [c225]Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen:
Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW 2017: 1601-1610 - 2016
- [j131]Yue Wu, Can Wang, Jiajun Bu, Chun Chen:
Group sparse feature selection on local learning based clustering. Neurocomputing 171: 1118-1130 (2016) - [j130]Yanxiang Chen, Luming Zhang, Xiao Liu, Chun Chen:
Pedestrian detection by learning a mixture mask model and its implementation. Inf. Sci. 372: 148-161 (2016) - [j129]Ping Li, Jiajun Bu, Jun Yu, Chun Chen:
Towards robust subspace recovery via sparsity-constrained latent low-rank representation. J. Vis. Commun. Image Represent. 37: 46-52 (2016) - [j128]Yi Gao, Wei Dong, Chun Chen, Jiajun Bu, Xue Liu:
Towards Reconstructing Routing Paths in Large Scale Sensor Networks. IEEE Trans. Computers 65(1): 281-293 (2016) - [j127]Wenjie Song, Jianke Zhu, Yang Li, Chun Chen:
Image Alignment by Online Robust PCA via Stochastic Gradient Descent. IEEE Trans. Circuits Syst. Video Technol. 26(7): 1241-1250 (2016) - [j126]Jiajun Bu, Xin Shen, Bin Xu, Chun Chen, Xiaofei He, Deng Cai:
Improving Collaborative Recommendation via User-Item Subgroups. IEEE Trans. Knowl. Data Eng. 28(9): 2363-2375 (2016) - [j125]Yi Gao, Wei Dong, Chun Chen, Jiajun Bu, Wenbin Wu, Xue Liu:
iPath: Path Inference in Wireless Sensor Networks. IEEE/ACM Trans. Netw. 24(1): 517-528 (2016) - [j124]Yi Gao, Wei Dong, Wenbin Wu, Chun Chen, Xiang-Yang Li, Jiajun Bu:
Scalpel: Scalable Preferential Link Tomography Based on Graph Trimming. IEEE/ACM Trans. Netw. 24(3): 1392-1403 (2016) - [j123]Wei Dong, Jie Yu, Jiliang Wang, Xuefeng Zhang, Yi Gao, Chun Chen, Jiajun Bu:
Accurate and Robust Time Reconstruction for Deployed Sensor Networks. IEEE/ACM Trans. Netw. 24(4): 2372-2385 (2016) - [j122]Wei Dong, Luyao Luo, Chun Chen, Jiajun Bu, Xue Liu, Yunhao Liu:
Post-Deployment Anomaly Detection and Diagnosis in Networked Embedded Systems by Program Profiling and Symptom Mining. IEEE Trans. Parallel Distributed Syst. 27(12): 3588-3601 (2016) - [c224]Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen:
Social Recommendation with Strong and Weak Ties. CIKM 2016: 5-14 - [c223]Jie Lei, Xinhui Song, Li Sun, Mingli Song, Na Li, Chun Chen:
Learning deep classifiers with deep features. ICME 2016: 1-6 - [c222]Yi Gao, Wei Dong, Kai Guo, Xue Liu, Yuan Chen, Xiaojin Liu, Jiajun Bu, Chun Chen:
Mosaic: A low-cost mobile sensing system for urban air quality monitoring. INFOCOM 2016: 1-9 - [c221]Chenhong Cao, Luyao Luo, Yi Gao, Wei Dong, Chun Chen:
TinySDM: Software Defined Measurement in Wireless Sensor Networks. IPSN 2016: 18:1-18:12 - [i3]Qingqun Ning, Jianke Zhu, Zhiyuan Zhong, Steven C. H. Hoi, Chun Chen:
Scalable Image Retrieval by Sparse Product Quantization. CoRR abs/1603.04614 (2016) - [i2]Ping Li, Jiajun Bu, Chun Chen, Zhanying He, Deng Cai:
Relational Multi-Manifold Co-Clustering. CoRR abs/1611.05743 (2016) - 2015
- [j121]Yi Gao, Chun Chen, Jiajun Bu, Wei Dong, Lei Rao, Xianghua Xu:
Learning the Dynamics for Anomaly Detection in Wireless Sensor Networks. Ad Hoc Sens. Wirel. Networks 28(3-4): 203-220 (2015) - [j120]Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He:
Unsupervised document summarization from data reconstruction perspective. Neurocomputing 157: 356-366 (2015) - [j119]