Test Resource Partitioning Based on Efficient Response Compaction for Test Time and Teste. - Yinhe Han 001; Yongjun Xu 001; Huawei Li 001; Xiaowei Li 001; Anshuman Chandra (Asian Test Symposium, 2003)

Average Leakage Current Macromodeling for Dual-Threshold Voltage Circuits. - Yongjun Xu 001; Zuying Luo; Zhiguo Chen; Xiaowei Li 001 (Asian Test Symposium, 2003)

A maximum total leakage current estimation method. - Yongjun Xu 001; Zuying Luo; Xiaowei Li 001 (ISCAS (2), 2004)

Leakage Current Estimation of CMOS Circuit with Stack Effect. - Yong-Jun Xu 001; Zuying Luo; Xiaowei Li 001; Li-Jian Li; Xianlong Hong (J. Comput. Sci. Technol., 2004)

Vector extraction for average total power estimation. - Yongjun Xu 001; Jinghua Chen; Zuying Luo; Xiaowei Li 001 (ASP-DAC, 2005)

Non-robust Test Generation for Crosstalk-Induced Delay Faults. - Pei-Fu Shen; Huawei Li 001; Yong-Jun Xu 001; Xiaowei Li 001 (Asian Test Symposium, 2005)

A Lightweight Scheme for Trust Relationship Establishment in Ubiquitous Sensor Networks. - Lei Xie; Yongjun Xu 001; Xiaowei Li 001; Yuefei Zhu (CIT, 2006)

A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. - Hongyang Chen; Ping Deng; Yongjun Xu 001; Xiaowei Li 001 (APWeb Workshops, 2006)

A Tamper-resistance Key Pre-distribution Scheme for Wireless Sensor Networks. - Lei Xie; Hongsong Zhu; Yongjun Xu 001; Yuefei Zhu (GCC Workshops, 2006)

Applying Wireless Sensor Networks to Context-Awareness in Ubiquitous Learning. - Mingfei Wang; Linlin Ci; Ping Zhan; Yongjun Xu 001 (ICNC (5), 2007)

Acoustic Source Localization in Wireless Sensor Networks. - Mingfei Wang; Linlin Ci; Ping Zhan; Yongjun Xu 001 (IITA, 2007)

An Improved Genetic Algorithm Based on Variable Step-Size Search. - Guannan Zhu; Ning Xu; Zhulin An; Yongjun Xu 001 (ICYCS, 2008)

A sensor network performance inference algorithm based on passive measurement. - Yu Yang; Yongjun Xu 001; Xiaowei Li 001 (WCNC, 2009)

Linear Pulse-Coupled Oscillators Model¬ - A New Approach for Time Synchronization in Wireless Sensor Networks. - Zhulin An; Hongsong Zhu; Meilin Zhang; Chaonong Xu; Yongjun Xu 001; Xiaowei Li 001 (Wirel. Sens. Netw., 2010)

Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm. - Yu Yang; Zhulin An; Yongjun Xu 001; Xiaowei Li 001; Canfeng Chen (Wirel. Sens. Netw., 2010)

A Security Mechanism For RFID With Dependable Proxy. - Jun Zhou 022; Yongjun Xu 001; Xiaowei Li 001 (Intell. Autom. Soft Comput., 2011)

Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks. - Zhulin An; Hongsong Zhu; Xinrong Li; Chaonong Xu; Yongjun Xu 001; Xiaowei Li 001 (IEEE Trans. Ind. Electron., 2011)

A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems. - Yu Yang; Yongjun Xu 001; Xiaowei Li 001; Canfeng Chen (IEEE Trans. Ind. Electron., 2011)

Localization Algorithms of Underwater Wireless Sensor Networks: A Survey. - Guangjie Han; Jinfang Jiang; Lei Shu 001; Yongjun Xu 001; Feng Wang (Sensors, 2012)

An energy-efficient link quality monitoring scheme for wireless networks. - Hongsong Zhu; Xinrong Li; Yongjun Xu 001; Xiaowei Li 001; Yan Liu 021 (Wirel. Commun. Mob. Comput., 2012)

The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field. - Zhao-long Fan; Qi-jian Xu; Yongjun Xu 001; Fei Wang 014 (GrC, 2013)

Poster abstract: human tracking based on LRF and wearable IMU data fusion. - Lin Wu 006; Zhulin An; YongJun Xu 001; Li Cui (IPSN, 2013)

Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor. - Fei Wang 014; Yongjun Xu 001; Lin Wu 006; Dan Liu 002; Liehuang Zhu (MobiSys, 2013)

Odometer in the pocket. - Lin Wu 006; YongJun Xu 001; Zhulin An; Chaonong Xu; Fei Wang 014 (MobiSys, 2013)

Plug-configure-Play Service-oriented Gateway - For Fast and Easy Sensor Network Application Development. - Lin Wu 006; Yongjun Xu 001; Chaonong Xu; Fei Wang 014 (SENSORNETS, 2013)

OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN. - Wei Lin 017; XueHai Hong; Chaonong Xu; YongJun Xu 001; Dengchang Zhao (Int. J. Distributed Sens. Networks, 2013)

A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks. - Fei Wang 014; Yongjun Xu 001; Lin Wu 006; Longyijia Li; Dan Liu 002; Liehuang Zhu (Int. J. Distributed Sens. Networks, 2013)

Distributed Middleware of Large-Scale Wireless Networks. - Chaonong Xu; YongJun Xu 001; Xinrong Li; Hongsong Zhu; Guangjie Han (Int. J. Distributed Sens. Networks, 2013)

Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol. - Dengchang Zhao; Zhulin An; Yongjun Xu 001 (Int. J. Distributed Sens. Networks, 2013)

Belief Fusion of Predictions of Industries in China's Stock Market. - Yongjun Xu 001; Lin Wu 006; Xianbin Wu; Zhiwei Xu 002 (Belief Functions, 2014)

A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks. - Fei Wang 014; Yujun Zhang 001; Yongjun Xu 001; Lin Wu 006; Boyu Diao (ICNC, 2014)

Achieving optimal admission control with dynamic scheduling in energy constrained network systems. - Weiwei Fang; Zhulin An; Lei Shu 001; Qingyu Liu; Yongjun Xu 001; Yuan An (J. Netw. Comput. Appl., 2014)

Vessel trajectory partitioning based on hierarchical fusion of position data. - Xianbin Wu; Lin Wu 006; Yongjun Xu 001; Zhulin An; Boyu Diao (FUSION, 2015)

Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks. - Boyu Diao; Yongjun Xu 001; Zhulin An; Fei Wang 014; Chao Li 028 (Int. J. Distributed Sens. Networks, 2015)

A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory. - Chaonong Xu; Chi Zhang; Yongjun Xu 001; Zhiguang Wang (Int. J. Distributed Sens. Networks, 2015)

A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks. - Boyu Diao; Yongjun Xu 001; Qi Wang 025; Zhao Chen 007; Chao Li 028; Zhulin An; Guangjie Han (ICPADS, 2016)

TDMA versus CSMA/CA for wireless multi-hop communications: A comparison for soft real-time networking. - Qi Wang 025; Katia Jaffrès-Runser; Yongjun Xu 001; Jean-Luc Scharbarg; Zhulin An; Christian Fraboul (WFCS, 2016)

LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication. - Mingzhong Wang; Dan Liu 002; Liehuang Zhu; Yongjun Xu 001; Fei Wang 014 (Computing, 2016)

Keep all mobile users′ whereabouts secure: a radio frequency identification protocol anti-tracking in 5G. - Xi Yin 003; Binxing Fang; Shuyuan Jin; Meikang Qiu; Athanasios V. Vasilakos; Yongjun Xu 001 (Int. J. Commun. Syst., 2016)

2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET. - Fei Wang 014; Yongjun Xu 001; Hanwen Zhang 001; Yujun Zhang 001; Liehuang Zhu (IEEE Trans. Veh. Technol., 2016)

EPAF: An Efficient Pseudonymous-Based Inter-vehicle Authentication Framework for VANET. - Fei Wang 014; Yifan Du 004; Yongjun Xu 001; Tan Cheng; Xiaoli Pan (MSN, 2017)

Optimal Power Scheduling for SIC-Based Uplink Wireless Networks with Guaranteed Real-Time Performance. - Chaonong Xu; Kaichi Ma; Yida Xu; Yongjun Xu 001 (WASA, 2017)

A certifiable resource allocation for real-time multi-hop 6TiSCH wireless networks. - Qi Wang 025; Katia Jaffrès-Runser; Yongjun Xu 001; Jean-Luc Scharbarg (WFCS, 2017)

TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis. - Qi Wang 025; Katia Jaffrès-Runser; Yongjun Xu 001; Jean-Luc Scharbarg; Zhulin An; Christian Fraboul (IEEE Trans. Ind. Informatics, 2017)

A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device. - Chao Li 028; Xiaolong Ma; Zhulin An; Yongjun Xu 001 (SEC, 2018)

Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks. - Chaonong Xu; Kaichi Ma; Yongjun Xu 001 (Comput. Networks, 2018)

Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance. - Chaonong Xu; Kaichi Ma; Yida Xu; Yongjun Xu 001; Yuguang Fang (IEEE Trans. Veh. Technol., 2018)

PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks. - Yida Xu; Qi Wang 025; Jianmin Liu; Chentao He; Boyu Diao; Yongjun Xu 001 (APNOMS, 2019)

L0 Regularization based Fine-grained Neural Network Pruning Method. - Qixin Xie; Chao Li 028; Boyu Diao; Zhulin An; Yongjun Xu 001 (ECAI, 2019)

Real-time Ship Track Association: a Benchmark and a Network-Based Method. - Lin Wu 006; Yongjun Xu 001; Fei Wang 014; Qiang Lu; Miao Hu 001 (FUSION, 2019)

Multi-objective Pruning for CNNs Using Genetic Algorithm. - Chuanguang Yang; Zhulin An; Chao Li 028; Boyu Diao; Yongjun Xu 001 (ICANN (2), 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Erhu Zhao; Yongjun Xu 001 (ICCV Workshops, 2019)

MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs. - Chao Li 028; Yida Xu; Yongjun Xu 001; Boyu Diao; Zhulin An (IEEE Access, 2019)

EENA: Efficient Evolution of Neural Architecture. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kaiqiang Xu; Chao Li 028; Boyu Diao; Yongjun Xu 001 (CoRR, 2019)

Rethinking the Number of Channels for the Convolutional Neural Network. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2019)

LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for $N$ -Times Computing Offloading in IoT. - Fei Wang 014; Yongjun Xu 001; Liehuang Zhu; Xiaojiang Du; Mohsen Guizani (IEEE Internet Things J., 2019)

Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems. - Chaonong Xu; Haichuan Ding; Yongjun Xu 001 (Wirel. Networks, 2019)

Gated Convolutional Networks with Hybrid Connectivity for Image Classification. - Chuanguang Yang; Zhulin An; Hui Zhu 002; Xiaolong Hu; Kun Zhang 045; Kaiqiang Xu; Chao Li 028; Yongjun Xu 001 (AAAI, 2020)

DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. - Xiaolong Hu; Zhulin An; Chuanguang Yang; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (ECAI, 2020)

A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. - Lin Wu 006; Fei Wang 014; Yongjun Xu 001; Yu Jiang; Jiakai Wang (FUSION, 2020)

CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. - Tangwen Qian; Fei Wang 014; Yongjun Xu 001; Yu Jiang; Tao Sun 011; Yong Yu (ICANN (2), 2020)

Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants. - Hui Zhu 002; Zhulin An; Kaiqiang Xu; Xiaolong Hu; Yongjun Xu 001 (ICIP, 2020)

Softer Pruning, Incremental Regularization. - Linhang Cai; Zhulin An; Chuanguang Yang; Yongjun Xu 001 (ICPR, 2020)

Trajectory-User Link with Attention Recurrent Networks. - Tao Sun 011; Yongjun Xu 001; Fei Wang 014; Lin Wu 006; Tangwen Qian; Zezhi Shao (ICPR, 2020)

HLNet: Modeling High and Low Frequencies for Scene Parsing. - Kaiqiang Xu; Zhulin An; Hui Zhu 002; Xiaolong Hu; Yongjun Xu 001 (IJCNN, 2020)

TULSN: Siamese Network for Trajectory-user Linking. - Yong Yu; Haina Tang; Fei Wang 014; Lin Wu 006; Tangwen Qian; Tao Sun 011; Yongjun Xu 001 (IJCNN, 2020)

Efficient Search for the Number of Channels for Convolutional Neural Networks. - Hui Zhu 002; Zhulin An; Chuanguang Yang; Xiaolong Hu; Kaiqiang Xu; Yongjun Xu 001 (IJCNN, 2020)

A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format. - Hang Cao; Liang Yuan; He Zhang 005; Baodong Wu; Shigang Li 002; Pengqi Lu; Yunquan Zhang; Yongjun Xu 001; Minghua Zhang (IPDPS, 2020)

ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning. - Jianmin Liu; Qi Wang 025; Chentao He; Yongjun Xu 001 (LCN, 2020)

A Self-adaptive Low Delay MAC Protocol For Event-driven Industrial Wireless Networks. - Yida Xu; Qi Wang 025; Yongjun Xu 001 (MASS, 2020)

QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks. - Jianmin Liu; Qi Wang 025; Chentao He; Katia Jaffrès-Runser; Yida Xu; Zhenyu Li 001; Yongjun Xu 001 (Comput. Commun., 2020)

MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks. - Yida Xu; Qi Wang 025; Yongjun Xu 001; Jianmin Liu; Chentao He (Comput. Commun., 2020)

Localizing Multi-scale Semantic Patches for Image Classification. - Chuanguang Yang; Xiaolong Hu; Zhulin An; Hui Zhu 002; Yongjun Xu 001 (CoRR, 2020)

Multi-view Contrastive Learning for Online Knowledge Distillation. - Chuanguang Yang; Zhulin An; Xiaolong Hu; Hui Zhu 002; Kaiqiang Xu; Yongjun Xu 001 (CoRR, 2020)

PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. - Jianrong Xu; Chao Li 028; Bifeng Cui; Kang Yang; Yongjun Xu 001 (CoRR, 2020)

GHFP: Gradually Hard Filter Pruning. - Linhang Cai; Zhulin An; Yongjun Xu 001 (CoRR, 2020)

Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data. - Lin Wu 006; Yongjun Xu 001; Fei Wang 014 (ISPRS Int. J. Geo Inf., 2020)

Data Security and Privacy Challenges of Computing Offloading in FINs. - Fei Wang 014; Boyu Diao; Tao Sun 011; Yongjun Xu 001 (IEEE Netw., 2020)

Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA. - Chaonong Xu; Mianze Wu; Yongjun Xu 001; Yuguang Fang (IEEE Syst. J., 2020)

Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks. - Chaonong Xu; Mianze Wu; Yida Xu; Yongjun Xu 001 (IEEE Syst. J., 2020)

Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling. - Luqi Gong; Chao Li 028; Hailong Hong; Hui Zhu 002; Tangwen Qian; Yongjun Xu 001 (ICANN (2), 2021)

Multi-View Contrastive Learning for Online Knowledge Distillation. - Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICASSP, 2021)

A Novel Distributed Method For Time-Critical Task Allocation Problems In Multi-UAV System. - Jianmin Liu; Qi Wang 025; Yongjun Xu 001; Cunzhuang Liu (ICC, 2021)

Hierarchical Self-supervised Augmented Knowledge Distillation. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (IJCAI, 2021)

Soft and Hard Filter Pruning via Dimension Reduction. - Linhang Cai; Zhulin An; Chuanguang Yang; Yongjun Xu 001 (IJCNN, 2021)

On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. - Hanlin Cao; Haina Tang; Yulei Wu; Fei Wang 014; Yongjun Xu 001 (IJCNN, 2021)

Channel Pruning via Multi-Criteria based on Weight Dependency. - Yangchun Yan; Rongzuo Guo; Chao Li 028; Kang Yang; Yongjun Xu 001 (IJCNN, 2021)

INCdeep: Intelligent Network Coding with Deep Reinforcement Learning. - Qi Wang 025; Jianmin Liu; Katia Jaffrès-Runser; Yongqing Wang; Chentao He; Cunzhuang Liu; Yongjun Xu 001 (INFOCOM, 2021)

MPRdeep: Multi-Objective Joint Optimal Node Positioning and Resource Allocation for FANETs with Deep Reinforcement learning. - Qi Wang 025; Jianmin Liu; Cunzhuang Liu; Jianhui Huang; Chentao He; Yongjun Xu 001 (LCN, 2021)

A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks. - Boyu Diao; Chao Li 028; Qi Wang 025; Zhulin An; Yongjun Xu 001 (CoRR, 2021)

A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration. - LingFei Dai; Boyu Diao; Chao Li 028; Yongjun Xu 001 (CoRR, 2021)

Interpretable Generative Adversarial Networks. - Chao Li 028; Kelu Yao; Jin Wang 039; Boyu Diao; Yongjun Xu 001; Quanshi Zhang (AAAI, 2022)

Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. - Linhang Cai; Zhulin An; Chuanguang Yang; Yangchun Yan; Yongjun Xu 001 (AAAI, 2022)

Mutual Contrastive Learning for Visual Representation Learning. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (AAAI, 2022)

BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. - Yubo Liang; Zezhi Shao; Fei Wang 014; Zhao Zhang 011; Tao Sun 011; Yongjun Xu 001 (Bench, 2022)

Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. - Zezhi Shao; Zhao Zhang 011; Fei Wang 014; Wei Wei 002; Yongjun Xu 001 (CIKM, 2022)

Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Fuzhen Zhuang; Yongjun Xu 001; Qing He 003 (CIKM, 2022)

Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. - Yuanzhou Yao; Zhao Zhang 011; Yongjun Xu 001; Chao Li 028 (COLING, 2022)

Cross-Image Relational Knowledge Distillation for Semantic Segmentation. - Chuanguang Yang; Helong Zhou; Zhulin An; Xue Jiang; Yongjun Xu 001; Qian Zhang 009 (CVPR, 2022)

Human Mobility Identification by Deep Behavior Relevant Location Representation. - Tao Sun 011; Fei Wang 014; Zhao Zhang 011; Lin Wu 006; Yongjun Xu 001 (DASFAA (2), 2022)

MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Linhang Cai; Xiang Zhi; Jiwen Wu; Yongjun Xu 001; Qian Zhang 009 (ECCV (24), 2022)

Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. - Qiming Li; Zhao Zhang 011; Boyu Diao; Yongjun Xu 001; Chao Li 028 (ICANN (2), 2022)

Localizing Semantic Patches for Accelerating Image Classification. - Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICME, 2022)

Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning. - Qi Wang 025; Chentao He; Katia Jaffrès-Runser; Jianhui Huang; Yongjun Xu 001 (IWQoS, 2022)

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. - Zezhi Shao; Zhao Zhang 011; Fei Wang 014; Yongjun Xu 001 (KDD, 2022)

Trajectory Prediction from Hierarchical Perspective. - Tangwen Qian; Yongjun Xu 001; Zhao Zhang 011; Fei Wang 014 (ACM Multimedia, 2022)

AR-GAIL: Adaptive routing protocol for FANETs using generative adversarial imitation learning. - Jianmin Liu; Qi Wang 025; Yongjun Xu 001 (Comput. Networks, 2022)

Lifelong Generative Learning via Knowledge Reconstruction. - Libo Huang; Zhulin An; Xiang Zhi; Yongjun Xu 001 (CoRR, 2022)

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Yongjun Xu 001; Qian Zhang 009 (CoRR, 2022)

Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. - Zezhi Shao; Zhao Zhang 011; Wei Wei 002; Fei Wang 014; Yongjun Xu 001; Xin Cao 001; Christian S. Jensen (Proc. VLDB Endow., 2022)

A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. - Tao Sun 011; Yongjun Xu 001; Zhao Zhang 011; Lin Wu 006; Fei Wang 014 (Sensors, 2022)

On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints. - Wenjun Xiong; Chen Liu 022; Guanghui Wen; Jianlong Qiu; Yongjun Xu 001 (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Knowledge Graph Error Detection with Hierarchical Path Structure. - Zhao Zhang 011; Fuwei Zhang; Fuzhen Zhuang; Yongjun Xu 001 (CIKM, 2023)

Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. - Yuan Wang 037; Zezhi Shao; Tao Sun 011; Chengqing Yu; Yongjun Xu 001; Fei Wang 014 (CIKM, 2023)

DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tao Sun 011; Lin Wu 006; Yongjun Xu 001 (CIKM, 2023)

An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. - Yuanzhou Yao; Zhao Zhang 011; Kaijia Yang; Huasheng Liang; Qiang Yan 001; Yongjun Xu 001 (EMNLP (Industry Track), 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 022; Zhulin An; Yongjun Xu 001 (KDD, 2023)

Attacking Pre-trained Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Yongchun Zhu; Fuzhen Zhuang; Jie Zhou 016; Yongjun Xu 001; Qing He 003 (SIGIR, 2023)

Weighted Knowledge Graph Embedding. - Zhao Zhang 011; Zhanpeng Guan; Fuwei Zhang; Fuzhen Zhuang; Zhulin An; Fei Wang 014; Yongjun Xu 001 (SIGIR, 2023)

A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. - Yuanzhou Yao; Zhao Zhang 011; Kaijia Yang; Huasheng Liang; Qiang Yan 001; Fuzhen Zhuang; Yongjun Xu 001; Boyu Diao; Chao Li 028 (WWW (Companion Volume), 2023)

eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (CoRR, 2023)

Modeling Dual Period-Varying Preferences for Takeaway Recommendation. - Yuting Zhang; Yiqing Wu; Ran Le; Yongchun Zhu; Fuzhen Zhuang; Ruidong Han; Xiang Li 067; Wei Lin 016; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. - Chuanguang Yang; Xinqiang Yu; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

CLIP-KD: An Empirical Study of Distilling CLIP Models. - Chuanguang Yang; Zhulin An; Libo Huang; Junyu Bi; Xinqiang Yu; Han Yang; Yongjun Xu 001 (CoRR, 2023)

HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. - Zezhi Shao; Fei Wang 014; Zhao Zhang 011; Yuchen Fang 001; Guangyin Jin; Yongjun Xu 001 (CoRR, 2023)

E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network. - Ruiqi Liu; Boyu Diao; Libo Huang; Zhulin An; Yongjun Xu 001 (CoRR, 2023)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; Xueqi Cheng (CoRR, 2023)

Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. - Zhao Zhang 011; Fuzhen Zhuang; Hengshu Zhu; Chao Li 028; Hui Xiong 001; Qing He 003; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. - Chuanguang Yang; Zhulin An; Helong Zhou; Fuzhen Zhuang; Yongjun Xu 001; Qian Zhang 009 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. - Qiming Li; Zhao Zhang 011; Fuzhen Zhuang; Yongjun Xu 001; Chao Li 028 (ACM Trans. Inf. Syst., 2023)

Heterogeneous Graph Neural Network With Multi-View Representation Learning. - Zezhi Shao; Yongjun Xu 001; Wei Wei 002; Fei Wang 014; Zhao Zhang 011; Feida Zhu 001 (IEEE Trans. Knowl. Data Eng., 2023)

eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. - Libo Huang; Yan Zeng 002; Chuanguang Yang; Zhulin An; Boyu Diao; Yongjun Xu 001 (AAAI, 2024)

Self-Improvement Programming for Temporal Knowledge Graph Question Answering. - Zhuo Chen; Zhao Zhang 011; Zixuan Li 001; Fei Wang 014; Yutao Zeng; Xiaolong Jin 001; Yongjun Xu 001 (LREC/COLING, 2024)

Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification. - Zeyu Dong; Chuanguang Yang; Yuqi Li; Libo Huang; Zhulin An; Yongjun Xu 001 (CSCWD, 2024)

Online Relational Knowledge Distillation for Image Classification. - Yihang Zhou; Chuanguang Yang; Yuqi Li; Libo Huang; Zhulin An; Yongjun Xu 001 (CSCWD, 2024)

CLIP-KD: An Empirical Study of CLIP Model Distillation. - Chuanguang Yang; Zhulin An; Libo Huang; Junyu Bi; Xinqiang Yu; Han Yang; Boyu Diao; Yongjun Xu 001 (CVPR, 2024)

Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. - Yujie Li 008; Zezhi Shao; Yongjun Xu 001; Qiang Qiu; Zhaogang Cao; Fei Wang 014 (ICASSP, 2024)

AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. - Tangwen Qian; Yile Chen 001; Gao Cong; Yongjun Xu 001; Fei Wang 014 (ICDE, 2024)

KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. - Libo Huang; Zhulin An; Yan Zeng 002; Xiang Zhi; Yongjun Xu 001 (Tiny Papers @ ICLR, 2024)

SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks. - Qiyun Chen; Boyu Diao; Yu Yang; Yongjun Xu 001 (ICPR (8), 2024)

An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration. - Yu Yang; Boyu Diao; Hangda Liu; Qiyun Chen; Qi Wang 025; Yongjun Xu 001 (ICPR (6), 2024)

Online Policy Distillation with Decision-Attention. - Xinqiang Yu; Chuanguang Yang; Chengqing Yu; Libo Huang; Zhulin An; Yongjun Xu 001 (IJCNN, 2024)

Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. - Yanjie Gou; Yuanzhou Yao; Zhao Zhang 011; Yiqing Wu; Yi Hu; Fuzhen Zhuang; Jiangming Liu; Yongjun Xu 001 (KDD, 2024)

DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (KDD, 2024)

GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Yongjun Xu 001 (KDD, 2024)

Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. - Yuting Zhang; Yiqing Wu; Ruidong Han; Ying Sun 006; Yongchun Zhu; Xiang Li 067; Wei Lin 022; Fuzhen Zhuang; Zhulin An; Yongjun Xu 001 (KDD, 2024)

Relational Diffusion Distillation for Efficient Image Generation. - Weilun Feng; Chuanguang Yang; Zhulin An; Libo Huang; Boyu Diao; Fei Wang 014; Yongjun Xu 001 (ACM Multimedia, 2024)

Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. - Yuting Zhang; Zhao Zhang 011; Yiqing Wu; Ying Sun 006; Fuzhen Zhuang; Wenhui Yu; Lantao Hu; Han Li 005; Kun Gai; Zhulin An; Yongjun Xu 001 (ACM Multimedia, 2024)

Continual Learning in the Frequency Domain. - Ruiqi Liu; Boyu Diao; Libo Huang; Zijia An; Zhulin An; Yongjun Xu 001 (NeurIPS, 2024)

DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating. - Wenxin Chen; Boyu Diao; Hangda Liu; Ruisheng Wang; Yongjun Xu 001 (NPC (1), 2024)

Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. - Sen Li; Hui Jin; Yingke Gao; Ying Wang 001; Shuhong Dai; Yongjun Xu 001; Long Cheng 003 (Comput. Commun., 2024)

Exemplar-Free Class Incremental Learning via Incremental Representation. - Libo Huang; Zhulin An; Yan Zeng 002; Chuanguang Yang; Xinqiang Yu; Yongjun Xu 001 (CoRR, 2024)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Fuzhen Zhuang; Xu Zhang 028; Leyu Lin; Zhanhui Kang; Yongjun Xu 001 (CoRR, 2024)

EGOR: Efficient Generated Objects Replay for incremental object detection. - Zijia An; Boyu Diao; Libo Huang; Ruiqi Liu; Zhulin An; Yongjun Xu 001 (CoRR, 2024)

LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. - Yisong Fu; Fei Wang 014; Zezhi Shao; Chengqing Yu; Yujie Li 008; Zhao Chen 007; Zhulin An; Yongjun Xu 001 (CoRR, 2024)

Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. - Tangwen Qian; Junhe Li; Yile Chen 001; Gao Cong; Tao Sun 011; Fei Wang 014; Yongjun Xu 001 (CoRR, 2024)

Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. - Chuanguang Yang; Zhulin An; Linhang Cai; Yongjun Xu 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training. - Li-Rong Dai 001; Luqi Gong; Zhulin An; Yongjun Xu 001; Boyu Diao (J. Parallel Distributed Comput., 2024)

Triple Dual Learning for Opinion-based Explainable Recommendation. - Yuting Zhang; Ying Sun 006; Fuzhen Zhuang; Yongchun Zhu; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2024)

Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches. - Qi Wang 025; Jianhui Huang; Yongjun Xu 001 (IEEE/ACM Trans. Netw., 2024)

Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds. - Jianmin Liu; Dan Li 001; Yongjun Xu 001 (IEEE/ACM Trans. Netw., 2024)

MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. - Weilun Feng; Haotong Qin; Chuanguang Yang; Zhulin An; Libo Huang; Boyu Diao; Fei Wang 014; Renshuai Tao; Yongjun Xu 001; Michele Magno (AAAI, 2025)

HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. - Han Yang; Chuanguang Yang; Zhulin An; Libo Huang; Yongjun Xu 001 (AAAI, 2025)

Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. - Chuanguang Yang; Xinqiang Yu; Han Yang; Zhulin An; Chengqing Yu; Libo Huang; Yongjun Xu 001 (AAAI, 2025)

Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. - Zhanpeng Guan; Zhao Zhang 011; Yiqing Wu; Fuwei Zhang; Yongjun Xu 001 (COLING, 2025)

Multi-party Collaborative Attention Control for Image Customization. - Han Yang; Chuanguang Yang; Qiuli Wang 001; Zhulin An; Weilun Feng; Libo Huang; Yongjun Xu 001 (CVPR, 2025)

IOR: Inversed Objects Replay for Incremental Object Detection. - Zijia An; Boyu Diao; Libo Huang; Ruiqi Liu; Zhulin An; Yongjun Xu 001 (ICASSP, 2025)

Cross-Layer Graph Knowledge Distillation for Image Recognition. - Jiaming Chu; Yanzhuo Xiang; Yuqi Li; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (ICASSP, 2025)

OLN++: Improved Object Localization Network for Open-world Object Detection. - Haonan Mai; Libo Huang; Zhulin An; Jiarui Zhao; Chuanguang Yang; Erhu Zhao; Yongjun Xu 001 (ICASSP, 2025)

Gensor: A Graph-Based Construction Tensor Compilation Method for Deep Learning. - Hangda Liu; Boyu Diao; Yu Yang; Wenxin Chen; Xiaohui Peng 002; Yongjun Xu 001 (IPDPS, 2025)

Classification-Based False Alarm Suppression for SAR Target Detection. - Nan Yang; Libo Huang; Zhulin An; Yongjun Xu 001; Xia Hong 002; Wing-Kuen Ling (ISCAS, 2025)

A resource-aware workload scheduling method for unbalanced GEMMs on GPUs. - Hangda Liu; Boyu Diao; Wenxin Chen; Yongjun Xu 001 (Comput. J., 2025)

MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. - Chengqing Yu; Fei Wang 014; Yilun Wang; Zezhi Shao; Tao Sun 011; Di Yao 001; Yongjun Xu 001 (Inf. Fusion, 2025)

Trajectory-User Linking via Multi-Scale Graph Attention Network. - Yujie Li 008; Tao Sun 011; Zezhi Shao; Yiqiang Zhen; Yongjun Xu 001; Fei Wang 014 (Pattern Recognit., 2025)

Low-redundancy distillation for continual learning. - Ruiqi Liu; Boyu Diao; Libo Huang; Zijia An; Hangda Liu; Zhulin An; Yongjun Xu 001 (Pattern Recognit., 2025)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. - Zezhi Shao; Fei Wang 014; Yongjun Xu 001; Wei Wei 002; Chengqing Yu; Zhao Zhang 011; Di Yao 001; Tao Sun 011; Guangyin Jin; Xin Cao 001; Gao Cong; Christian S. Jensen; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Efficient Continual Learning through Frequency Decomposition and Integration. - Ruiqi Liu; Boyu Diao; Libo Huang; Hangda Liu; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

A Model-Agnostic Hierarchical Framework Towards Trajectory Prediction. - Tangwen Qian; Yuan Wang 037; Yong-Jun Xu 001; Zhao Zhang 011; Lin Wu 006; Qiang Qiu; Fei Wang 014 (J. Comput. Sci. Technol., 2025)

A Nonlinear Hash-based Optimization Method for SpMV on GPUs. - Chen Yan; Boyu Diao; Hangda Liu; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

Causal Discovery from Temporal Data: An Overview and New Perspectives. - Chang Gong 001; Chuzhe Zhang; Di Yao 001; Jingping Bi; Wenbin Li 012; Yongjun Xu 001 (ACM Comput. Surv., 2025)

PrePrompt: Predictive prompting for class incremental learning. - Libo Huang; Zhulin An; Chuanguang Yang; Boyu Diao; Fei Wang 014; Yan Zeng 002; Zhifeng Hao; Yong-Jun Xu 001 (CoRR, 2025)

BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. - Zezhi Shao; Yujie Li 008; Fei Wang 014; Chengqing Yu; Yisong Fu; Tangwen Qian; Bin Xu; Boyu Diao; Yongjun Xu 001; Xueqi Cheng (CoRR, 2025)

Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. - Weilun Feng; Chuanguang Yang; Haotong Qin; Xiangqi Li; Yu Wang; Zhulin An; Libo Huang; Boyu Diao; Zixiang Zhao; Yongjun Xu 001; Michele Magno (CoRR, 2025)

Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. - Chengqing Yu; Fei Wang 014; Chuanguang Yang; Zezhi Shao; Tao Sun 011; Tangwen Qian; Wei Wei 002; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. - Yuqi Li; Junhao Dong 001; Zeyu Dong; Chuanguang Yang; Zhulin An; Yongjun Xu 001 (CoRR, 2025)

Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting. - Yuqi Li; Chuanguang Yang; Hansheng Zeng; Zeyu Dong; Zhulin An; Yongjun Xu 001; Yingli Tian; Hao Wu (CoRR, 2025)

MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. - Weilun Feng; Chuanguang Yang; Haotong Qin; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Boyu Diao; Fuzhen Zhuang; Michele Magno; Yongjun Xu 001; Yingli Tian; et al. (CoRR, 2025)

S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation. - Weilun Feng; Haotong Qin; Chuanguang Yang; Xiangqi Li; Han Yang; Yuqi Li; Zhulin An; Libo Huang; Michele Magno; Yongjun Xu 001 (CoRR, 2025)

AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. - Zhanpeng Guan; Fuwei Zhang; Zhao Zhang 011; Fuzhen Zhuang; Fei Wang 014; Zhulin An; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)

GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. - Chengqing Yu; Fei Wang 014; Zezhi Shao; Tangwen Qian; Zhao Zhang 011; Wei Wei 002; Zhulin An; Qi Wang 025; Yongjun Xu 001 (IEEE Trans. Knowl. Data Eng., 2025)

ID-centric Pre-training for Recommendation. - Yiqing Wu; Ruobing Xie; Zhao Zhang 011; Xu Zhang 028; Fuzhen Zhuang; Leyu Lin; Zhanhui Kang; Zhulin An; Yongjun Xu 001 (ACM Trans. Inf. Syst., 2025)