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Yongjun Xu 0001

YongJun Xu 0001 – Yong-Jun Xu 0001

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affiliation: Chinese Academy and Sciences, Institute of Computing Technology, Beijing, China

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2025
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Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu:
MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion 113: 102607 (2025)
[j46]
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Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang:
Trajectory-User Linking via Multi-Scale Graph Attention Network. Pattern Recognit. 158: 110978 (2025)
[j45]
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Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 37(1): 291-305 (2025)
2024
[j44]
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Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng:
Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. Comput. Commun. 216: 151-158 (2024)
[j43]
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Li-Rong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao:
Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training. J. Parallel Distributed Comput. 185: 104811 (2024)
[j42]
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2094-2108 (2024)
[j41]
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Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu:
Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. 42(3): 70:1-70:27 (2024)
[j40]
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Qi Wang, Jianhui Huang, Yongjun Xu:
Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches. IEEE/ACM Trans. Netw. 32(5): 3699-3714 (2024)
[j39]
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Jianmin Liu, Dan Li, Yongjun Xu:
Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds. IEEE/ACM Trans. Netw. 32(6): 4692-4706 (2024)
2023
[j38]
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Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang:
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10212-10227 (2023)
[j37]
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Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35(4): 4321-4334 (2023)
[j36]
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Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. 35(11): 11476-11488 (2023)
[j35]
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Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li:
Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. 41(4): 92:1-92:23 (2023)
2022
[j34]
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Jianmin Liu, Qi Wang, Yongjun Xu:
AR-GAIL: Adaptive routing protocol for FANETs using generative adversarial imitation learning. Comput. Networks 218: 109382 (2022)
[j33]
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Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. 15(11): 2733-2746 (2022)
[j32]
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Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang:
A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. Sensors 22(3): 711 (2022)
[j31]
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Wenjun Xiong, Chen Liu, Guanghui Wen, Jianlong Qiu, Yongjun Xu:
On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints. IEEE Trans. Syst. Man Cybern. Syst. 52(12): 7422-7430 (2022)
2020
[j30]
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Jianmin Liu, Qi Wang, Chentao He, Katia Jaffrès-Runser, Yida Xu, Zhenyu Li, Yongjun Xu:
QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks. Comput. Commun. 150: 304-316 (2020)
[j29]
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Yida Xu, Qi Wang, Yongjun Xu, Jianmin Liu, Chentao He:
MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks. Comput. Commun. 154: 48-57 (2020)
[j28]
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Lin Wu, Yongjun Xu, Fei Wang:
Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data. ISPRS Int. J. Geo Inf. 9(12): 756 (2020)
[j27]
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Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu:
Data Security and Privacy Challenges of Computing Offloading in FINs. IEEE Netw. 34(2): 14-20 (2020)
[j26]
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Chaonong Xu, Mianze Wu, Yongjun Xu, Yuguang Fang:
Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA. IEEE Syst. J. 14(2): 2443-2454 (2020)
[j25]
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Chaonong Xu, Mianze Wu, Yida Xu, Yongjun Xu:
Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks. IEEE Syst. J. 14(4): 5384-5395 (2020)
2019
[j24]
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Chao Li, Yida Xu, Yongjun Xu, Boyu Diao, Zhulin An:
MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs. IEEE Access 7: 21133-21146 (2019)
[j23]
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Fei Wang, Yongjun Xu, Liehuang Zhu, Xiaojiang Du, Mohsen Guizani:
LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for $N$ -Times Computing Offloading in IoT. IEEE Internet Things J. 6(3): 4462-4471 (2019)
[j22]
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Chaonong Xu, Haichuan Ding, Yongjun Xu:
Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems. Wirel. Networks 25(1): 321-334 (2019)
2018
[j21]
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Chaonong Xu, Kaichi Ma, Yongjun Xu:
Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks. Comput. Networks 133: 120-129 (2018)
[j20]
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Chaonong Xu, Kaichi Ma, Yida Xu, Yongjun Xu, Yuguang Fang:
Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance. IEEE Trans. Veh. Technol. 67(4): 3216-3228 (2018)
2017
[j19]
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Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul:
TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis. IEEE Trans. Ind. Informatics 13(2): 877-887 (2017)
2016
[j18]
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Mingzhong Wang, Dan Liu, Liehuang Zhu, Yongjun Xu, Fei Wang:
LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication. Computing 98(7): 685-708 (2016)
[j17]
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Xi Yin, Binxing Fang, Shuyuan Jin, Meikang Qiu, Athanasios V. Vasilakos, Yongjun Xu:
Keep all mobile users′ whereabouts secure: a radio frequency identification protocol anti-tracking in 5G. Int. J. Commun. Syst. 29(16): 2375-2387 (2016)
[j16]
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Fei Wang, Yongjun Xu, Hanwen Zhang, Yujun Zhang, Liehuang Zhu:
2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET. IEEE Trans. Veh. Technol. 65(2): 896-911 (2016)
2015
[j15]
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Boyu Diao, Yongjun Xu, Zhulin An, Fei Wang, Chao Li:
Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks. Int. J. Distributed Sens. Networks 11: 781932:1-781932:9 (2015)
[j14]
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Chaonong Xu, Chi Zhang, Yongjun Xu, Zhiguang Wang:
A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory. Int. J. Distributed Sens. Networks 11: 820692:1-820692:9 (2015)
2014
[j13]
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Weiwei Fang, Zhulin An, Lei Shu, Qingyu Liu, Yongjun Xu, Yuan An:
Achieving optimal admission control with dynamic scheduling in energy constrained network systems. J. Netw. Comput. Appl. 44: 152-160 (2014)
2013
[j12]
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Wei Lin, XueHai Hong, Chaonong Xu, YongJun Xu, Dengchang Zhao:
OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN. Int. J. Distributed Sens. Networks 9 (2013)
[j11]
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Fei Wang, Yongjun Xu, Lin Wu, Longyijia Li, Dan Liu, Liehuang Zhu:
A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks. Int. J. Distributed Sens. Networks 9 (2013)
[j10]
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Chaonong Xu, YongJun Xu, Xinrong Li, Hongsong Zhu, Guangjie Han:
Distributed Middleware of Large-Scale Wireless Networks. Int. J. Distributed Sens. Networks 9 (2013)
[j9]
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Dengchang Zhao, Zhulin An, Yongjun Xu:
Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol. Int. J. Distributed Sens. Networks 9 (2013)
2012
[j8]
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Guangjie Han, Jinfang Jiang, Lei Shu, Yongjun Xu, Feng Wang:
Localization Algorithms of Underwater Wireless Sensor Networks: A Survey. Sensors 12(2): 2026-2061 (2012)
[j7]
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Hongsong Zhu, Xinrong Li, Yongjun Xu, Xiaowei Li, Yan Liu:
An energy-efficient link quality monitoring scheme for wireless networks. Wirel. Commun. Mob. Comput. 12(4): 333-344 (2012)
2011
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Jun Zhou, Yongjun Xu, Xiaowei Li:
A Security Mechanism For RFID With Dependable Proxy. Intell. Autom. Soft Comput. 17(6): 815-825 (2011)
[j5]
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Yu Yang, Yongjun Xu, Xiaowei Li, Canfeng Chen:
A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems. IEEE Trans. Ind. Electron. 58(6): 2126-2137 (2011)
[j4]
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Zhulin An, Hongsong Zhu, Xinrong Li, Chaonong Xu, Yongjun Xu, Xiaowei Li:
Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks. IEEE Trans. Ind. Electron. 58(6): 2205-2215 (2011)
2010
[j3]
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Zhulin An, Hongsong Zhu, Meilin Zhang, Chaonong Xu, Yongjun Xu, Xiaowei Li:
Linear Pulse-Coupled Oscillators Model¬ - A New Approach for Time Synchronization in Wireless Sensor Networks. Wirel. Sens. Netw. 2(2): 108-114 (2010)
[j2]
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Yu Yang, Zhulin An, Yongjun Xu, Xiaowei Li, Canfeng Chen:
Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm. Wirel. Sens. Netw. 2(7): 512-519 (2010)
2004
[j1]
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Yong-Jun Xu, Zuying Luo, Xiaowei Li, Li-Jian Li, Xianlong Hong:
Leakage Current Estimation of CMOS Circuit with Stack Effect. J. Comput. Sci. Technol. 19(5): 708-717 (2004)

Conference and Workshop Papers

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2025
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Zhanpeng Guan, Zhao Zhang, Yiqing Wu, Fuwei Zhang, Yongjun Xu:
Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. COLING 2025: 9006-9012
2024
[c93]
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Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu:
eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. AAAI 2024: 12591-12599
[c92]
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Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu:
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING 2024: 14579-14594
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Zeyu Dong, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu:
Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification. CSCWD 2024: 310-315
[c90]
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Yihang Zhou, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu:
Online Relational Knowledge Distillation for Image Classification. CSCWD 2024: 365-370
[c89]
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Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu:
CLIP-KD: An Empirical Study of CLIP Model Distillation. CVPR 2024: 15952-15962
[c88]
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Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang:
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP 2024: 5245-5249
[c87]
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Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE 2024: 5048-5060
[c86]
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Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu:
KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. Tiny Papers @ ICLR 2024
[c85]
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Yu Yang, Boyu Diao, Hangda Liu, Qiyun Chen, Qi Wang, Yongjun Xu:
An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration. ICPR (6) 2024: 32-45
[c84]
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Qiyun Chen, Boyu Diao, Yu Yang, Yongjun Xu:
SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks. ICPR (8) 2024: 238-253
[c83]
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Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu:
Online Policy Distillation with Decision-Attention. IJCNN 2024: 1-8
[c82]
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Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD 2024: 3437-3447
[c81]
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Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu:
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD 2024: 3989-4000
[c80]
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Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu:
Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD 2024: 4986-4996
[c79]
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Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD 2024: 6291-6300
[c78]
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Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu:
Relational Diffusion Distillation for Efficient Image Generation. ACM Multimedia 2024: 205-213
[c77]
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Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu:
Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia 2024: 5683-5691
2023
[c76]
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Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu:
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM 2023: 3062-3072
[c75]
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  - conf/cikm/WangSSYXW23
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Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang:
Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM 2023: 4340-4344
[c74]
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Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu:
Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM 2023: 4430-4434
[c73]
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Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu:
An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. EMNLP (Industry Track) 2023: 522-531
[c72]
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Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD 2023: 5628-5638
[c71]
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  - conf/sigir/ZhangGZZAWX23
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Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu:
Weighted Knowledge Graph Embedding. SIGIR 2023: 867-877
[c70]
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  - conf/sigir/WuX0ZZZX023
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Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. SIGIR 2023: 1811-1815
[c69]
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  - conf/www/YaoZYLYZXDL23
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Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li:
A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) 2023: 475-479
2022
[c68]
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Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu:
Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. AAAI 2022: 140-148
[c67]
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Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang:
Interpretable Generative Adversarial Networks. AAAI 2022: 1280-1288
[c66]
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Mutual Contrastive Learning for Visual Representation Learning. AAAI 2022: 3045-3053
[c65]
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  - conf/bench/LiangSWZSX22
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Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu:
BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench 2022: 87-101
[c64]
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  - conf/cikm/ZhangZ0ZX022
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Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He:
Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM 2022: 2529-2538
[c63]
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Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM 2022: 4454-4458
[c62]
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Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li:
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. COLING 2022: 2494-2503
[c61]
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  - conf/cvpr/YangZAJXZ22
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Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang:
Cross-Image Relational Knowledge Distillation for Semantic Segmentation. CVPR 2022: 12309-12318
[c60]
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  - conf/dasfaa/SunWZWX22
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Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu:
Human Mobility Identification by Deep Behavior Relevant Location Representation. DASFAA (2) 2022: 439-454
[c59]
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  - conf/eccv/YangAZCZWXZ22
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Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang:
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. ECCV (24) 2022: 534-551
[c58]
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Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li:
Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. ICANN (2) 2022: 706-718
[c57]
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Chuanguang Yang, Zhulin An, Yongjun Xu:
Localizing Semantic Patches for Accelerating Image Classification. ICME 2022: 1-6
[c56]
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  - conf/iwqos/WangHJHX22
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Qi Wang, Chentao He, Katia Jaffrès-Runser, Jianhui Huang, Yongjun Xu:
Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning. IWQoS 2022: 1-11
[c55]
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  - conf/kdd/ShaoZWX22
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Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu:
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD 2022: 1567-1577
[c54]
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  - conf/mm/QianXZ022
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Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang:
Trajectory Prediction from Hierarchical Perspective. ACM Multimedia 2022: 6822-6830
2021
[c53]
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Luqi Gong, Chao Li, Hailong Hong, Hui Zhu, Tangwen Qian, Yongjun Xu:
Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling. ICANN (2) 2021: 637-647
[c52]
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Chuanguang Yang, Zhulin An, Yongjun Xu:
Multi-View Contrastive Learning for Online Knowledge Distillation. ICASSP 2021: 3750-3754
[c51]
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  - conf/icc/LiuWXL21
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Jianmin Liu, Qi Wang, Yongjun Xu, Cunzhuang Liu:
A Novel Distributed Method For Time-Critical Task Allocation Problems In Multi-UAV System. ICC 2021: 1-6
[c50]
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Hierarchical Self-supervised Augmented Knowledge Distillation. IJCAI 2021: 1217-1223
[c49]
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Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu:
Soft and Hard Filter Pruning via Dimension Reduction. IJCNN 2021: 1-8
[c48]
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  - conf/ijcnn/CaoTWWX21
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Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu:
On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. IJCNN 2021: 1-9
[c47]
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Yangchun Yan, Rongzuo Guo, Chao Li, Kang Yang, Yongjun Xu:
Channel Pruning via Multi-Criteria based on Weight Dependency. IJCNN 2021: 1-8
[c46]
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  - conf/infocom/0025LJWHLX21
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Qi Wang, Jianmin Liu, Katia Jaffrès-Runser, Yongqing Wang, Chentao He, Cunzhuang Liu, Yongjun Xu:
INCdeep: Intelligent Network Coding with Deep Reinforcement Learning. INFOCOM 2021: 1-10
[c45]
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  - conf/lcn/WangLLHHX21
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Qi Wang, Jianmin Liu, Cunzhuang Liu, Jianhui Huang, Chentao He, Yongjun Xu:
MPRdeep: Multi-Objective Joint Optimal Node Positioning and Resource Allocation for FANETs with Deep Reinforcement learning. LCN 2021: 315-318
2020
[c44]
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  - conf/aaai/YangAZHZXLX20
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Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu:
Gated Convolutional Networks with Hybrid Connectivity for Image Classification. AAAI 2020: 12581-12588
[c43]
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Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu:
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. ECAI 2020: 2712-2719
[c42]
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  - conf/fusion/Wu0XJW20
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Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang:
A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. FUSION 2020: 1-8
[c41]
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  - conf/icann/Qian0XJSY20
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Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu:
CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. ICANN (2) 2020: 521-532
[c40]
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Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu:
Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants. ICIP 2020: 1661-1665
[c39]
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Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu:
Softer Pruning, Incremental Regularization. ICPR 2020: 224-230
[c38]
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  - conf/icpr/SunXWWQS20
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Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao:
Trajectory-User Link with Attention Recurrent Networks. ICPR 2020: 4589-4596
[c37]
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Kaiqiang Xu, Zhulin An, Hui Zhu, Xiaolong Hu, Yongjun Xu:
HLNet: Modeling High and Low Frequencies for Scene Parsing. IJCNN 2020: 1-8
[c36]
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Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu:
TULSN: Siamese Network for Trajectory-user Linking. IJCNN 2020: 1-8
[c35]
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Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu:
Efficient Search for the Number of Channels for Convolutional Neural Networks. IJCNN 2020: 1-8
[c34]
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Hang Cao, Liang Yuan, He Zhang, Baodong Wu, Shigang Li, Pengqi Lu, Yunquan Zhang, Yongjun Xu, Minghua Zhang:
A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format. IPDPS 2020: 95-104
[c33]
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Jianmin Liu, Qi Wang, Chentao He, Yongjun Xu:
ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning. LCN 2020: 465-468
[c32]
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Yida Xu, Qi Wang, Yongjun Xu:
A Self-adaptive Low Delay MAC Protocol For Event-driven Industrial Wireless Networks. MASS 2020: 95-102
2019
[c31]
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Yida Xu, Qi Wang, Jianmin Liu, Chentao He, Boyu Diao, Yongjun Xu:
PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks. APNOMS 2019: 1-6
[c30]
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Qixin Xie, Chao Li, Boyu Diao, Zhulin An, Yongjun Xu:
L0 Regularization based Fine-grained Neural Network Pruning Method. ECAI 2019: 1-4
[c29]
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Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu:
Real-time Ship Track Association: a Benchmark and a Network-Based Method. FUSION 2019: 1-8
[c28]
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Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu:
Multi-objective Pruning for CNNs Using Genetic Algorithm. ICANN (2) 2019: 299-305
[c27]
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Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu:
EENA: Efficient Evolution of Neural Architecture. ICCV Workshops 2019: 1891-1899
2018
[c26]
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Chao Li, Xiaolong Ma, Zhulin An, Yongjun Xu:
A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device. SEC 2018: 334-335
2017
[c25]
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Fei Wang, Yifan Du, Yongjun Xu, Tan Cheng, Xiaoli Pan:
EPAF: An Efficient Pseudonymous-Based Inter-vehicle Authentication Framework for VANET. MSN 2017: 252-270
[c24]
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Chaonong Xu, Kaichi Ma, Yida Xu, Yongjun Xu:
Optimal Power Scheduling for SIC-Based Uplink Wireless Networks with Guaranteed Real-Time Performance. WASA 2017: 23-36
[c23]
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Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg:
A certifiable resource allocation for real-time multi-hop 6TiSCH wireless networks. WFCS 2017: 1-9
2016
[c22]
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Boyu Diao, Yongjun Xu, Qi Wang, Zhao Chen, Chao Li, Zhulin An, Guangjie Han:
A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks. ICPADS 2016: 270-277
[c21]
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Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul:
TDMA versus CSMA/CA for wireless multi-hop communications: A comparison for soft real-time networking. WFCS 2016: 1-4
2015
[c20]
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Xianbin Wu, Lin Wu, Yongjun Xu, Zhulin An, Boyu Diao:
Vessel trajectory partitioning based on hierarchical fusion of position data. FUSION 2015: 1230-1237
2014
[c19]
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  - conf/belief/XuWWX14
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Yongjun Xu, Lin Wu, Xianbin Wu, Zhiwei Xu:
Belief Fusion of Predictions of Industries in China's Stock Market. Belief Functions 2014: 348-355
[c18]
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Fei Wang, Yujun Zhang, Yongjun Xu, Lin Wu, Boyu Diao:
A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks. ICNC 2014: 1096-1102
2013
[c17]
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Zhao-long Fan, Qi-jian Xu, Yongjun Xu, Fei Wang:
The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field. GrC 2013: 91-98
[c16]
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Lin Wu, Zhulin An, YongJun Xu, Li Cui:
Poster abstract: human tracking based on LRF and wearable IMU data fusion. IPSN 2013: 349-350
[c15]
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Fei Wang, Yongjun Xu, Lin Wu, Dan Liu, Liehuang Zhu:
Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor. MobiSys 2013: 519-520
[c14]
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Lin Wu, YongJun Xu, Zhulin An, Chaonong Xu, Fei Wang:
Odometer in the pocket. MobiSys 2013: 549-550
[c13]
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Lin Wu, Yongjun Xu, Chaonong Xu, Fei Wang:
Plug-configure-Play Service-oriented Gateway - For Fast and Easy Sensor Network Application Development. SENSORNETS 2013: 53-58
2009
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Yu Yang, Yongjun Xu, Xiaowei Li:
A sensor network performance inference algorithm based on passive measurement. WCNC 2009: 2284-2289
2008
[c11]
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Guannan Zhu, Ning Xu, Zhulin An, Yongjun Xu:
An Improved Genetic Algorithm Based on Variable Step-Size Search. ICYCS 2008: 1813-1818
2007
[c10]
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Mingfei Wang, Linlin Ci, Ping Zhan, Yongjun Xu:
Applying Wireless Sensor Networks to Context-Awareness in Ubiquitous Learning. ICNC (5) 2007: 791-795
[c9]
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Mingfei Wang, Linlin Ci, Ping Zhan, Yongjun Xu:
Acoustic Source Localization in Wireless Sensor Networks. IITA 2007: 196-199
2006
[c8]
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Lei Xie, Yongjun Xu, Xiaowei Li, Yuefei Zhu:
A Lightweight Scheme for Trust Relationship Establishment in Ubiquitous Sensor Networks. CIT 2006: 229
[c7]
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Hongyang Chen, Ping Deng, Yongjun Xu, Xiaowei Li:
A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. APWeb Workshops 2006: 315-320
[c6]
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Lei Xie, Hongsong Zhu, Yongjun Xu, Yuefei Zhu:
A Tamper-resistance Key Pre-distribution Scheme for Wireless Sensor Networks. GCC Workshops 2006: 437-443
2005
[c5]
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Yongjun Xu, Jinghua Chen, Zuying Luo, Xiaowei Li:
Vector extraction for average total power estimation. ASP-DAC 2005: 1086-1089
[c4]
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Pei-Fu Shen, Huawei Li, Yong-Jun Xu, Xiaowei Li:
Non-robust Test Generation for Crosstalk-Induced Delay Faults. Asian Test Symposium 2005: 120-125
2004
[c3]
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Yongjun Xu, Zuying Luo, Xiaowei Li:
A maximum total leakage current estimation method. ISCAS (2) 2004: 757-760
2003
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Yongjun Xu, Zuying Luo, Zhiguo Chen, Xiaowei Li:
Average Leakage Current Macromodeling for Dual-Threshold Voltage Circuits. Asian Test Symposium 2003: 196-201
[c1]
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Yinhe Han, Yongjun Xu, Huawei Li, Xiaowei Li, Anshuman Chandra:
Test Resource Partitioning Based on Efficient Response Compaction for Test Time and Teste. Asian Test Symposium 2003: 440-445

Informal and Other Publications

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2024
[i51]
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Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu:
Exemplar-Free Class Incremental Learning via Incremental Representation. CoRR abs/2403.16221 (2024)
[i50]
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Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu:
Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR abs/2404.01720 (2024)
[i49]
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Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
ID-centric Pre-training for Recommendation. CoRR abs/2405.03562 (2024)
[i48]
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  - journals/corr/abs-2405-11333
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Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu:
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR abs/2405.11333 (2024)
[i47]
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  - journals/corr/abs-2405-15280
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Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu:
DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR abs/2405.15280 (2024)
[i46]
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  - journals/corr/abs-2406-04829
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Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu:
EGOR: Efficient Generated Objects Replay for incremental object detection. CoRR abs/2406.04829 (2024)
[i45]
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  - journals/corr/abs-2406-05488
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Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu:
Online Policy Distillation with Decision-Attention. CoRR abs/2406.05488 (2024)
[i44]
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  - journals/corr/abs-2407-00912
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Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu:
Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR abs/2407.00912 (2024)
[i43]
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  - journals/corr/abs-2408-09695
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Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu:
LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. CoRR abs/2408.09695 (2024)
[i42]
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  - journals/corr/abs-2410-06645
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Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu:
Continual Learning in the Frequency Domain. CoRR abs/2410.06645 (2024)
[i41]
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  - journals/corr/abs-2410-07679
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Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu:
Relational Diffusion Distillation for Efficient Image Generation. CoRR abs/2410.07679 (2024)
[i40]
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  - journals/corr/abs-2410-13196
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Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu:
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR abs/2410.13196 (2024)
[i39]
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  - journals/corr/abs-2412-11549
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Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno:
MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. CoRR abs/2412.11549 (2024)
2023
[i38]
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  - journals/corr/abs-2304-10103
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Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu:
eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. CoRR abs/2304.10103 (2023)
[i37]
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  - journals/corr/abs-2305-03995
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Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He:
Attacking Pre-trained Recommendation. CoRR abs/2305.03995 (2023)
[i36]
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  - journals/corr/abs-2306-04370
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Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu:
Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR abs/2306.04370 (2023)
[i35]
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  - journals/corr/abs-2306-10687
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Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu:
Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. CoRR abs/2306.10687 (2023)
[i34]
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  - journals/corr/abs-2307-12732
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Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Yongjun Xu:
CLIP-KD: An Empirical Study of Distilling CLIP Models. CoRR abs/2307.12732 (2023)
[i33]
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  - journals/corr/abs-2307-14596
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  - https://dblp.org/rec/journals/corr/abs-2307-14596
Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu:
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR abs/2307.14596 (2023)
[i32]
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Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu:
DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR abs/2308.03274 (2023)
[i31]
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  - journals/corr/abs-2309-16117
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Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu:
E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network. CoRR abs/2309.16117 (2023)
[i30]
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  - journals/corr/abs-2310-06119
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Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Guangyin Jin, Xin Cao, Gao Cong, Christian S. Jensen, Xueqi Cheng:
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR abs/2310.06119 (2023)
[i29]
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  - journals/corr/abs-2312-11933
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Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang:
Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR abs/2312.11933 (2023)
[i28]
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  - journals/corr/abs-2312-14394
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Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang:
AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR abs/2312.14394 (2023)
2022
[i27]
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  - journals/corr/abs-2201-06418
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Libo Huang, Zhulin An, Xiang Zhi, Yongjun Xu:
Lifelong Generative Learning via Knowledge Reconstruction. CoRR abs/2201.06418 (2022)
[i26]
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  - journals/corr/abs-2204-06986
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Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang:
Cross-Image Relational Knowledge Distillation for Semantic Segmentation. CoRR abs/2204.06986 (2022)
[i25]
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  - journals/corr/abs-2206-03367
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Chuanguang Yang, Zhulin An, Yongjun Xu:
Localizing Semantic Patches for Accelerating Image Classification. CoRR abs/2206.03367 (2022)
[i24]
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  - journals/corr/abs-2206-09112
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Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen:
Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR abs/2206.09112 (2022)
[i23]
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  - journals/corr/abs-2206-09113
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Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu:
Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR abs/2206.09113 (2022)
[i22]
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  - journals/corr/abs-2207-11518
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Chuanguang Yang, Zhulin An, Helong Zhou, Yongjun Xu, Qian Zhang:
Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. CoRR abs/2207.11518 (2022)
[i21]
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  - journals/corr/abs-2208-05233
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Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu:
Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR abs/2208.05233 (2022)
[i20]
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  - journals/corr/abs-2208-05768
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Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang:
MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. CoRR abs/2208.05768 (2022)
2021
[i19]
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  - journals/corr/abs-2104-12565
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Mutual Contrastive Learning for Visual Representation Learning. CoRR abs/2104.12565 (2021)
[i18]
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  - journals/corr/abs-2107-13715
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Hierarchical Self-supervised Augmented Knowledge Distillation. CoRR abs/2107.13715 (2021)
[i17]
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  - journals/corr/abs-2108-05057
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Boyu Diao, Chao Li, Qi Wang, Zhulin An, Yongjun Xu:
A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks. CoRR abs/2108.05057 (2021)
[i16]
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  - journals/corr/abs-2108-06004
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LingFei Dai, Boyu Diao, Chao Li, Yongjun Xu:
A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration. CoRR abs/2108.06004 (2021)
[i15]
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Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu:
Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR abs/2108.13650 (2021)
[i14]
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Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu:
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. CoRR abs/2109.03075 (2021)
[i13]
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  - journals/corr/abs-2111-06103
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Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu:
Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR abs/2111.06103 (2021)
2020
[i12]
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  - journals/corr/abs-2001-06774
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Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu:
Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants. CoRR abs/2001.06774 (2020)
[i11]
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  - journals/corr/abs-2002-03737
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Chuanguang Yang, Xiaolong Hu, Zhulin An, Hui Zhu, Yongjun Xu:
Localizing Multi-scale Semantic Patches for Image Classification. CoRR abs/2002.03737 (2020)
[i10]
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  - journals/corr/abs-2006-04093
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Chuanguang Yang, Zhulin An, Xiaolong Hu, Hui Zhu, Kaiqiang Xu, Yongjun Xu:
Multi-view Contrastive Learning for Online Knowledge Distillation. CoRR abs/2006.04093 (2020)
[i9]
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  - journals/corr/abs-2006-12963
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Jianrong Xu, Chao Li, Bifeng Cui, Kang Yang, Yongjun Xu:
PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. CoRR abs/2006.12963 (2020)
[i8]
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  - journals/corr/abs-2010-09498
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Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu:
Softer Pruning, Incremental Regularization. CoRR abs/2010.09498 (2020)
[i7]
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  - journals/corr/abs-2011-03170
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Linhang Cai, Zhulin An, Yongjun Xu:
GHFP: Gradually Hard Filter Pruning. CoRR abs/2011.03170 (2020)
[i6]
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  - journals/corr/abs-2011-03240
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Yangchun Yan, Chao Li, Rongzuo Guo, Kang Yang, Yongjun Xu:
Channel Pruning via Multi-Criteria based on Weight Dependency. CoRR abs/2011.03240 (2020)
2019
[i5]
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  - journals/corr/abs-1905-07320
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Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Yongjun Xu:
EENA: Efficient Evolution of Neural Architecture. CoRR abs/1905.07320 (2019)
[i4]
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  - journals/corr/abs-1906-00399
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Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu:
Multi-objective Pruning for CNNs using Genetic Algorithm. CoRR abs/1906.00399 (2019)
[i3]
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  - journals/corr/abs-1908-09699
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Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu:
Gated Convolutional Networks with Hybrid Connectivity for Image Classification. CoRR abs/1908.09699 (2019)
[i2]
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  - journals/corr/abs-1909-01861
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Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu:
Rethinking the Number of Channels for the Convolutional Neural Network. CoRR abs/1909.01861 (2019)
[i1]
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  - journals/corr/abs-1911-08691
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Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu:
DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. CoRR abs/1911.08691 (2019)

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