Yongjun Xu - RankMe

244 papers A* 30A 14B 18C 10Misc 8Journal 132Unranked 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AF-YOLO: Asymptotic Feature Extraction and Fusion for Aerial Object Detection. IEEE Trans. Circuits Syst. Video Technol. Lve Huang, Xiaowei Yu, Huabiao Yan, Libo Huang, Zhulin An, Yongjun Xu
2026	A*	`conf`	APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift. AAAI Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2026	A	`conf`	Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval. WSDM Jiawei He, Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Yongjun Xu
2026	J	`jnl`	Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Zijia An, Zhulin An, Fei Wang, Yongjun Xu
2026	J	`jnl`	Fast-SAM3D: 3Dfy Anything in Images but Faster. CoRR Weilun Feng, Mingqiang Wu, Zhiliang Chen, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiaokun Liu, Guoxin Fan, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2026	J	`jnl`	From Isolation to Integration: Building an Adaptive Expert Forest for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Hangda Liu, Zhulin An, Fei Wang, Yongjun Xu
2026	A*	`conf`	Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering. WWW Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin
2026	J	`jnl`	MultiAnimate: Pose-Guided Image Animation Made Extensible. CoRR Yingcheng Hu, Haowen Gong, Chuanguang Yang, Zhulin An, Yongjun Xu, Songhua Liu
2026	J	`jnl`	Semantic-Guided Dynamic Sparsification for Pre-Trained Model-based Class-Incremental Learning. CoRR Ruiqi Liu, Boyu Diao, Zijia An, Runjie Shao, Zhulin An, Fei Wang, Yongjun Xu
2026	J	`jnl`	Teacher-Guided Student Self-Knowledge Distillation Using Diffusion Model. CoRR Yu Wang, Chuanguang Yang, Zhulin An, Weilun Feng, Jiarui Zhao, Chengqing Yu, Libo Huang, Boyu Diao, Yongjun Xu
2026	J	`jnl`	WorldCache: Accelerating World Models for Free via Heterogeneous Token Caching. CoRR Weilun Feng, Guoxin Fan, Haotong Qin, Chuanguang Yang, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Dingrui Wang, Longlong Liao, Michele Magno, Yongjun Xu
2025	J	`jnl`	A Nonlinear Hash-based Optimization Method for SpMV on GPUs. CoRR Chen Yan, Boyu Diao, Hangda Liu, Zhulin An, Yongjun Xu
2025	J	`jnl`	A resource-aware workload scheduling method for unbalanced GEMMs on GPUs. Comput. J. Hangda Liu, Boyu Diao, Wenxin Chen, Yongjun Xu
2025	J	`jnl`	APT: Affine Prototype-Timestamp For Time Series Forecasting Under Distribution Shift. CoRR Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2025	J	`jnl`	ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting. CoRR Fei Wang, Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Zhulin An, Yongjun Xu, Xueqi Cheng
2025	J	`jnl`	AdaE: Knowledge Graph Embedding With Adaptive Embedding Sizes. IEEE Trans. Knowl. Data Eng. Zhanpeng Guan, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Fei Wang, Zhulin An, Yongjun Xu
2025	—	`conf`	BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. KDD (2) Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025	J	`jnl`	BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models. CoRR Zezhi Shao, Yujie Li, Fei Wang, Chengqing Yu, Yisong Fu, Tangwen Qian, Bin Xu, Boyu Diao, Yongjun Xu, Xueqi Cheng
2025	J	`jnl`	CBPNet: A Continual Backpropagation Prompt Network for Alleviating Plasticity Loss on Edge Devices. CoRR Runjie Shao, Boyu Diao, Zijia An, Ruiqi Liu, Yongjun Xu
2025	J	`jnl`	Causal Discovery from Temporal Data: An Overview and New Perspectives. ACM Comput. Surv. Chang Gong, Chuzhe Zhang, Di Yao, Jingping Bi, Wenbin Li, Yongjun Xu
2025	C	`conf`	Classification-Based False Alarm Suppression for SAR Target Detection. ISCAS Nan Yang, Libo Huang, Zhulin An, Yongjun Xu, Xia Hong, Wing-Kuen Ling
2025	Misc	`conf`	Cross-Layer Graph Knowledge Distillation for Image Recognition. ICASSP Jiaming Chu, Yanzhuo Xiang, Yuqi Li, Chuanguang Yang, Zhulin An, Yongjun Xu
2025	J	`jnl`	Efficient Continual Learning through Frequency Decomposition and Integration. CoRR Ruiqi Liu, Boyu Diao, Libo Huang, Hangda Liu, Chuanguang Yang, Zhulin An, Yongjun Xu
2025	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. IEEE Trans. Knowl. Data Eng. 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
2025	J	`jnl`	Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting. CoRR Yuqi Li, Chuanguang Yang, Hansheng Zeng, Zeyu Dong, Zhulin An, Yongjun Xu, Yingli Tian, Hao Wu
2025	A	`conf`	Gensor: A Graph-Based Construction Tensor Compilation Method for Deep Learning. IPDPS Hangda Liu, Boyu Diao, Yu Yang, Wenxin Chen, Xiaohui Peng, Yongjun Xu
2025	J	`jnl`	Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning. CoRR Hangda Liu, Boyu Diao, Yu Yang, Wenxin Chen, Xiaohui Peng, Yongjun Xu
2025	A*	`conf`	Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning. ICML Xiangqi Li, Libo Huang, Zhulin An, Weilun Feng, Chuanguang Yang, Boyu Diao, Fei Wang, Yongjun Xu
2025	J	`jnl`	GinAR+: A Robust End-to-End Framework for Multivariate Time Series Forecasting With Missing Values. IEEE Trans. Knowl. Data Eng. Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Zhulin An, Qi Wang, Yongjun Xu
2025	A*	`conf`	HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation. AAAI Han Yang, Chuanguang Yang, Zhulin An, Libo Huang, Yongjun Xu
2025	J	`jnl`	ID-centric Pre-training for Recommendation. ACM Trans. Inf. Syst. Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Zhulin An, Yongjun Xu
2025	Misc	`conf`	IOR: Inversed Objects Replay for Incremental Object Detection. ICASSP Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu
2025	J	`jnl`	KnowCoder-A1: Incentivizing Agentic Reasoning Capability with Outcome Supervision for KBQA. CoRR Zhuo Chen, Fei Wang, Zixuan Li, Zhao Zhang, Weiwei Ding, Chuanguang Yang, Yongjun Xu, Xiaolong Jin, Jiafeng Guo
2025	J	`jnl`	Low-redundancy distillation for continual learning. Pattern Recognit. Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Hangda Liu, Zhulin An, Yongjun Xu
2025	J	`jnl`	MGSFformer: A Multi-Granularity Spatiotemporal Fusion Transformer for air quality prediction. Inf. Fusion Chengqing Yu, Fei Wang, Yilun Wang, Zezhi Shao, Tao Sun, Di Yao, Yongjun Xu
2025	A*	`conf`	MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. AAAI Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2025	J	`jnl`	MPQ-DMv2: Flexible Residual Mixed Precision Quantization for Low-Bit Diffusion Models with Temporal Distillation. CoRR Weilun Feng, Chuanguang Yang, Haotong Qin, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Boyu Diao, Fuzhen Zhuang, Michele Magno, Yongjun Xu, Yingli Tian, Tingwen Huang
2025	—	`conf`	Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. KDD (2) Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025	J	`jnl`	Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates. CoRR Chengqing Yu, Fei Wang, Chuanguang Yang, Zezhi Shao, Tao Sun, Tangwen Qian, Wei Wei, Zhulin An, Yongjun Xu
2025	A*	`conf`	Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. AAAI Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu
2025	J	`jnl`	Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition. CoRR Chuanguang Yang, Xinqiang Yu, Han Yang, Zhulin An, Chengqing Yu, Libo Huang, Yongjun Xu
2025	A*	`conf`	Multi-party Collaborative Attention Control for Image Customization. CVPR Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu
2025	J	`jnl`	Multi-party Collaborative Attention Control for Image Customization. CoRR Han Yang, Chuanguang Yang, Qiuli Wang, Zhulin An, Weilun Feng, Libo Huang, Yongjun Xu
2025	Misc	`conf`	OLN++: Improved Object Localization Network for Open-world Object Detection. ICASSP Haonan Mai, Libo Huang, Zhulin An, Jiarui Zhao, Chuanguang Yang, Erhu Zhao, Yongjun Xu
2025	J	`jnl`	Overcoming Prompts Pool Confusion via Parameterized Prompt for Incremental Object Detection. CoRR Zijia An, Boyu Diao, Ruiqi Liu, Libo Huang, Chuanguang Yang, Fei Wang, Zhulin An, Yongjun Xu
2025	A*	`conf`	Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. ICML Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
2025	J	`jnl`	Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers. CoRR Weilun Feng, Chuanguang Yang, Haotong Qin, Xiangqi Li, Yu Wang, Zhulin An, Libo Huang, Boyu Diao, Zixiang Zhao, Yongjun Xu, Michele Magno
2025	J	`jnl`	QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification. CoRR Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2025	J	`jnl`	Quantized Visual Geometry Grounded Transformer. CoRR Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu
2025	J	`jnl`	S CoRR Weilun Feng, Haotong Qin, Chuanguang Yang, Xiangqi Li, Han Yang, Yuqi Li, Zhulin An, Libo Huang, Michele Magno, Yongjun Xu
2025	J	`jnl`	SRKD: Towards Efficient 3D Point Cloud Segmentation via Structure- and Relation-aware Knowledge Distillation. CoRR Yuqi Li, Junhao Dong, Zeyu Dong, Chuanguang Yang, Zhulin An, Yongjun Xu
2025	A	`conf`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CIKM Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	J	`jnl`	STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach. CoRR Yujie Li, Zezhi Shao, Chengqing Yu, Tangwen Qian, Zhao Zhang, Yifan Du, Shaoming He, Fei Wang, Yongjun Xu
2025	J	`jnl`	Selective Learning for Deep Time Series Forecasting. CoRR Yisong Fu, Zezhi Shao, Chengqing Yu, Yujie Li, Zhulin An, Qi Wang, Yongjun Xu, Fei Wang
2025	B	`conf`	Should We Use a Fixed Embedding Size? Customized Dimension Sizes for Knowledge Graph Embedding. COLING Zhanpeng Guan, Zhao Zhang, Yiqing Wu, Fuwei Zhang, Yongjun Xu
2025	J	`jnl`	Trajectory-User Linking via Multi-Scale Graph Attention Network. Pattern Recognit. Yujie Li, Tao Sun, Zezhi Shao, Yiqiang Zhen, Yongjun Xu, Fei Wang
2024	A*	`conf`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. ICDE Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2024	—	`conf`	An Evolutionary Search-Based Operator Fusion Method with Binary Representation for Deep Learning Inference Acceleration. ICPR (6) Yu Yang, Boyu Diao, Hangda Liu, Qiyun Chen, Qi Wang, Yongjun Xu
2024	J	`jnl`	Approximate data mapping in refresh-free DRAM for energy-efficient computing in modern mobile systems. Comput. Commun. Sen Li, Hui Jin, Yingke Gao, Ying Wang, Shuhong Dai, Yongjun Xu, Long Cheng
2024	A*	`conf`	CLIP-KD: An Empirical Study of CLIP Model Distillation. CVPR Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Boyu Diao, Yongjun Xu
2024	C	`conf`	Class-wise Image Mixture Guided Self-Knowledge Distillation for Image Classification. CSCWD Zeyu Dong, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models. CoRR Tangwen Qian, Junhe Li, Yile Chen, Gao Cong, Tao Sun, Fei Wang, Yongjun Xu
2024	A*	`conf`	Continual Learning in the Frequency Domain. NeurIPS Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu
2024	J	`jnl`	Continual Learning in the Frequency Domain. CoRR Ruiqi Liu, Boyu Diao, Libo Huang, Zijia An, Zhulin An, Yongjun Xu
2024	A*	`conf`	Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model. KDD Yanjie Gou, Yuanzhou Yao, Zhao Zhang, Yiqing Wu, Yi Hu, Fuzhen Zhuang, Jiangming Liu, Yongjun Xu
2024	A*	`conf`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. KDD Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	J	`jnl`	DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Xu Zhang, Fuzhen Zhuang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	—	`conf`	DTuner: A Construction-Based Optimization Method for Dynamic Tensor Operators Accelerating. NPC (1) Wenxin Chen, Boyu Diao, Hangda Liu, Ruisheng Wang, Yongjun Xu
2024	J	`jnl`	Deep Distributional Reinforcement Learning-Based Adaptive Routing With Guaranteed Delay Bounds. IEEE/ACM Trans. Netw. Jianmin Liu, Dan Li, Yongjun Xu
2024	Misc	`conf`	Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. ICASSP Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
2024	J	`jnl`	EGOR: Efficient Generated Objects Replay for incremental object detection. CoRR Zijia An, Boyu Diao, Libo Huang, Ruiqi Liu, Zhulin An, Yongjun Xu
2024	J	`jnl`	Exemplar-Free Class Incremental Learning via Incremental Representation. CoRR Libo Huang, Zhulin An, Yan Zeng, Chuanguang Yang, Xinqiang Yu, Yongjun Xu
2024	A*	`conf`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. KDD Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing. CoRR Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu
2024	J	`jnl`	ID-centric Pre-training for Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Fuzhen Zhuang, Xu Zhang, Leyu Lin, Zhanhui Kang, Yongjun Xu
2024	—	`conf`	KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning. Tiny Papers @ ICLR Libo Huang, Zhulin An, Yan Zeng, Xiang Zhi, Yongjun Xu
2024	J	`jnl`	Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. IEEE Trans. Neural Networks Learn. Syst. Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2024	J	`jnl`	LightWeather: Harnessing Absolute Positional Encoding to Efficient and Scalable Global Weather Forecasting. CoRR Yisong Fu, Fei Wang, Zezhi Shao, Chengqing Yu, Yujie Li, Zhao Chen, Zhulin An, Yongjun Xu
2024	J	`jnl`	MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models. CoRR Weilun Feng, Haotong Qin, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Renshuai Tao, Yongjun Xu, Michele Magno
2024	B	`conf`	Online Policy Distillation with Decision-Attention. IJCNN Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Online Policy Distillation with Decision-Attention. CoRR Xinqiang Yu, Chuanguang Yang, Chengqing Yu, Libo Huang, Zhulin An, Yongjun Xu
2024	C	`conf`	Online Relational Knowledge Distillation for Image Classification. CSCWD Yihang Zhou, Chuanguang Yang, Yuqi Li, Libo Huang, Zhulin An, Yongjun Xu
2024	A*	`conf`	Relational Diffusion Distillation for Efficient Image Generation. ACM Multimedia Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu
2024	J	`jnl`	Relational Diffusion Distillation for Efficient Image Generation. CoRR Weilun Feng, Chuanguang Yang, Zhulin An, Libo Huang, Boyu Diao, Fei Wang, Yongjun Xu
2024	—	`conf`	SCP: A Structure Combination Pruning Method via Structured Sparse for Deep Convolutional Neural Networks. ICPR (8) Qiyun Chen, Boyu Diao, Yu Yang, Yongjun Xu
2024	J	`jnl`	Scheduling of Real-Time Wireless Flows: A Comparative Study of Centralized and Decentralized Reinforcement Learning Approaches. IEEE/ACM Trans. Netw. Qi Wang, Jianhui Huang, Yongjun Xu
2024	—	`conf`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. LREC/COLING Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2024	J	`jnl`	Self-Improvement Programming for Temporal Knowledge Graph Question Answering. CoRR Zhuo Chen, Zhao Zhang, Zixuan Li, Fei Wang, Yutao Zeng, Xiaolong Jin, Yongjun Xu
2024	J	`jnl`	Sketch-fusion: A gradient compression method with multi-layer fusion for communication-efficient distributed training. J. Parallel Distributed Comput. Li-Rong Dai, Luqi Gong, Zhulin An, Yongjun Xu, Boyu Diao
2024	A*	`conf`	Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation. ACM Multimedia Yuting Zhang, Zhao Zhang, Yiqing Wu, Ying Sun, Fuzhen Zhuang, Wenhui Yu, Lantao Hu, Han Li, Kun Gai, Zhulin An, Yongjun Xu
2024	J	`jnl`	Triple Dual Learning for Opinion-based Explainable Recommendation. ACM Trans. Inf. Syst. Yuting Zhang, Ying Sun, Fuzhen Zhuang, Yongchun Zhu, Zhulin An, Yongjun Xu
2024	A*	`conf`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. KDD Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024	J	`jnl`	Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ruidong Han, Ying Sun, Yongchun Zhu, Xiang Li, Wei Lin, Fuzhen Zhuang, Zhulin An, Yongjun Xu
2024	A*	`conf`	eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation. AAAI Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
2023	—	`conf`	A Knowledge Enhanced Hierarchical Fusion Network for CTR Prediction under Account Search Scenario in WeChat. WWW (Companion Volume) Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Fuzhen Zhuang, Yongjun Xu, Boyu Diao, Chao Li
2023	J	`jnl`	AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction. CoRR Tangwen Qian, Yile Chen, Gao Cong, Yongjun Xu, Fei Wang
2023	—	`conf`	An Auxiliary Task Boosted Multi-task Learning Method for Service Account Retrieval with Limited Human Annotation. EMNLP (Industry Track) Yuanzhou Yao, Zhao Zhang, Kaijia Yang, Huasheng Liang, Qiang Yan, Yongjun Xu
2023	A*	`conf`	Attacking Pre-trained Recommendation. SIGIR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	Attacking Pre-trained Recommendation. CoRR Yiqing Wu, Ruobing Xie, Zhao Zhang, Yongchun Zhu, Fuzhen Zhuang, Jie Zhou, Yongjun Xu, Qing He
2023	J	`jnl`	CLIP-KD: An Empirical Study of Distilling CLIP Models. CoRR Chuanguang Yang, Zhulin An, Libo Huang, Junyu Bi, Xinqiang Yu, Han Yang, Yongjun Xu
2023	J	`jnl`	Categories of Response-Based, Feature-Based, and Relation-Based Knowledge Distillation. CoRR Chuanguang Yang, Xinqiang Yu, Zhulin An, Yongjun Xu
2023	A	`conf`	Clustering-property Matters: A Cluster-aware Network for Large Scale Multivariate Time Series Forecasting. CIKM Yuan Wang, Zezhi Shao, Tao Sun, Chengqing Yu, Yongjun Xu, Fei Wang
2023	A	`conf`	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CIKM Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023	J	`jnl`	DSformer: A Double Sampling Transformer for Multivariate Time Series Long-term Prediction. CoRR Chengqing Yu, Fei Wang, Zezhi Shao, Tao Sun, Lin Wu, Yongjun Xu
2023	J	`jnl`	Dynamic Frequency Domain Graph Convolutional Network for Traffic Forecasting. CoRR Yujie Li, Zezhi Shao, Yongjun Xu, Qiang Qiu, Zhaogang Cao, Fei Wang
2023	J	`jnl`	E2Net: Resource-Efficient Continual Learning with Elastic Expansion Network. CoRR Ruiqi Liu, Boyu Diao, Libo Huang, Zhulin An, Yongjun Xu
2023	J	`jnl`	Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis. CoRR 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
2023	J	`jnl`	HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting. CoRR Zezhi Shao, Fei Wang, Zhao Zhang, Yuchen Fang, Guangyin Jin, Yongjun Xu
2023	J	`jnl`	Heterogeneous Graph Neural Network With Multi-View Representation Learning. IEEE Trans. Knowl. Data Eng. Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2023	A	`conf`	Knowledge Graph Error Detection with Hierarchical Path Structure. CIKM Zhao Zhang, Fuwei Zhang, Fuzhen Zhuang, Yongjun Xu
2023	A*	`conf`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. KDD Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Modeling Dual Period-Varying Preferences for Takeaway Recommendation. CoRR Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu
2023	J	`jnl`	Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Chuanguang Yang, Zhulin An, Helong Zhou, Fuzhen Zhuang, Yongjun Xu, Qian Zhang
2023	J	`jnl`	Topic-aware Intention Network for Explainable Recommendation with Knowledge Enhancement. ACM Trans. Inf. Syst. Qiming Li, Zhao Zhang, Fuzhen Zhuang, Yongjun Xu, Chao Li
2023	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-Task Reinforcement Learning. IEEE Trans. Knowl. Data Eng. Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2023	A*	`conf`	Weighted Knowledge Graph Embedding. SIGIR Zhao Zhang, Zhanpeng Guan, Fuwei Zhang, Fuzhen Zhuang, Zhulin An, Fei Wang, Yongjun Xu
2023	J	`jnl`	eTag: Class-Incremental Learning with Embedding Distillation and Task-Oriented Generation. CoRR Libo Huang, Yan Zeng, Chuanguang Yang, Zhulin An, Boyu Diao, Yongjun Xu
2022	J	`jnl`	A Hierarchical Spatial-Temporal Embedding Method Based on Enhanced Trajectory Features for Ship Type Classification. Sensors Tao Sun, Yongjun Xu, Zhao Zhang, Lin Wu, Fei Wang
2022	J	`jnl`	AR-GAIL: Adaptive routing protocol for FANETs using generative adversarial imitation learning. Comput. Networks Jianmin Liu, Qi Wang, Yongjun Xu
2022	A	`conf`	Along the Time: Timeline-traced Embedding for Temporal Knowledge Graph Completion. CIKM Fuwei Zhang, Zhao Zhang, Xiang Ao, Fuzhen Zhuang, Yongjun Xu, Qing He
2022	—	`conf`	BasicTS: An Open Source Fair Multivariate Time Series Prediction Benchmark. Bench Yubo Liang, Zezhi Shao, Fei Wang, Zhao Zhang, Tao Sun, Yongjun Xu
2022	A*	`conf`	Cross-Image Relational Knowledge Distillation for Semantic Segmentation. CVPR Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang
2022	J	`jnl`	Cross-Image Relational Knowledge Distillation for Semantic Segmentation. CoRR Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang
2022	B	`conf`	Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective. COLING Yuanzhou Yao, Zhao Zhang, Yongjun Xu, Chao Li
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. CoRR Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	J	`jnl`	Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting. Proc. VLDB Endow. Zezhi Shao, Zhao Zhang, Wei Wei, Fei Wang, Yongjun Xu, Xin Cao, Christian S. Jensen
2022	—	`conf`	Human Mobility Identification by Deep Behavior Relevant Location Representation. DASFAA (2) Tao Sun, Fei Wang, Zhao Zhang, Lin Wu, Yongjun Xu
2022	A*	`conf`	Interpretable Generative Adversarial Networks. AAAI Chao Li, Kelu Yao, Jin Wang, Boyu Diao, Yongjun Xu, Quanshi Zhang
2022	J	`jnl`	Lifelong Generative Learning via Knowledge Reconstruction. CoRR Libo Huang, Zhulin An, Xiang Zhi, Yongjun Xu
2022	A	`conf`	Localizing Semantic Patches for Accelerating Image Classification. ICME Chuanguang Yang, Zhulin An, Yongjun Xu
2022	J	`jnl`	Localizing Semantic Patches for Accelerating Image Classification. CoRR Chuanguang Yang, Zhulin An, Yongjun Xu
2022	—	`conf`	MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. ECCV (24) Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang
2022	J	`jnl`	MixSKD: Self-Knowledge Distillation from Mixup for Image Recognition. CoRR Chuanguang Yang, Zhulin An, Helong Zhou, Linhang Cai, Xiang Zhi, Jiwen Wu, Yongjun Xu, Qian Zhang
2022	A*	`conf`	Mutual Contrastive Learning for Visual Representation Learning. AAAI Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2022	J	`jnl`	On Designing Learning Control Scheme for Multilayer Supply Chain Networks With Constraints. IEEE Trans. Syst. Man Cybern. Syst. Wenjun Xiong, Chen Liu, Guanghui Wen, Jianlong Qiu, Yongjun Xu
2022	J	`jnl`	Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition. CoRR Chuanguang Yang, Zhulin An, Helong Zhou, Yongjun Xu, Qian Zhang
2022	A*	`conf`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. KDD Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	J	`jnl`	Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Yongjun Xu
2022	A*	`conf`	Prior Gradient Mask Guided Pruning-Aware Fine-Tuning. AAAI Linhang Cai, Zhulin An, Chuanguang Yang, Yangchun Yan, Yongjun Xu
2022	A	`conf`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CIKM Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	J	`jnl`	Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting. CoRR Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei, Yongjun Xu
2022	B	`conf`	Timely-throughput Optimal Scheduling for Wireless Flows with Deep Reinforcement Learning. IWQoS Qi Wang, Chentao He, Katia Jaffrès-Runser, Jianhui Huang, Yongjun Xu
2022	—	`conf`	Towards Understanding the Effect of Node Features on the Predictions of Graph Neural Networks. ICANN (2) Qiming Li, Zhao Zhang, Boyu Diao, Yongjun Xu, Chao Li
2022	A*	`conf`	Trajectory Prediction from Hierarchical Perspective. ACM Multimedia Tangwen Qian, Yongjun Xu, Zhao Zhang, Fei Wang
2021	J	`jnl`	A Channel-Aware Routing Protocol With Nearest Neighbor Regression For Underwater Sensor Networks. CoRR Boyu Diao, Chao Li, Qi Wang, Zhulin An, Yongjun Xu
2021	J	`jnl`	A Distributed SGD Algorithm with Global Sketching for Deep Learning Training Acceleration. CoRR LingFei Dai, Boyu Diao, Chao Li, Yongjun Xu
2021	—	`conf`	A Novel Distributed Method For Time-Critical Task Allocation Problems In Multi-UAV System. ICC Jianmin Liu, Qi Wang, Yongjun Xu, Cunzhuang Liu
2021	B	`conf`	Channel Pruning via Multi-Criteria based on Weight Dependency. IJCNN Yangchun Yan, Rongzuo Guo, Chao Li, Kang Yang, Yongjun Xu
2021	J	`jnl`	Heterogeneous Graph Neural Network with Multi-view Representation Learning. CoRR Zezhi Shao, Yongjun Xu, Wei Wei, Fei Wang, Zhao Zhang, Feida Zhu
2021	A*	`conf`	Hierarchical Self-supervised Augmented Knowledge Distillation. IJCAI Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2021	J	`jnl`	Hierarchical Self-supervised Augmented Knowledge Distillation. CoRR Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2021	A*	`conf`	INCdeep: Intelligent Network Coding with Deep Reinforcement Learning. INFOCOM Qi Wang, Jianmin Liu, Katia Jaffrès-Runser, Yongqing Wang, Chentao He, Cunzhuang Liu, Yongjun Xu
2021	J	`jnl`	Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution. CoRR Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2021	B	`conf`	MPRdeep: Multi-Objective Joint Optimal Node Positioning and Resource Allocation for FANETs with Deep Reinforcement learning. LCN Qi Wang, Jianmin Liu, Cunzhuang Liu, Jianhui Huang, Chentao He, Yongjun Xu
2021	Misc	`conf`	Multi-View Contrastive Learning for Online Knowledge Distillation. ICASSP Chuanguang Yang, Zhulin An, Yongjun Xu
2021	J	`jnl`	Mutual Contrastive Learning for Visual Representation Learning. CoRR Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu
2021	B	`conf`	On Accurate Computation of Trajectory Similarity via Single Image Super-Resolution. IJCNN Hanlin Cao, Haina Tang, Yulei Wu, Fei Wang, Yongjun Xu
2021	B	`conf`	Soft and Hard Filter Pruning via Dimension Reduction. IJCNN Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu
2021	—	`conf`	Towards Compressing Efficient Generative Adversarial Networks for Image Translation via Pruning and Distilling. ICANN (2) Luqi Gong, Chao Li, Hailong Hong, Hui Zhu, Tangwen Qian, Yongjun Xu
2021	J	`jnl`	Towards Robust Knowledge Graph Embedding via Multi-task Reinforcement Learning. CoRR Zhao Zhang, Fuzhen Zhuang, Hengshu Zhu, Chao Li, Hui Xiong, Qing He, Yongjun Xu
2020	A	`conf`	A Highly Efficient Dynamical Core of Atmospheric General Circulation Model based on Leap-Format. IPDPS Hang Cao, Liang Yuan, He Zhang, Baodong Wu, Shigang Li, Pengqi Lu, Yunquan Zhang, Yongjun Xu, Minghua Zhang
2020	C	`conf`	A Parallel Implementation of Hypothesis-Oriented Multiple Hypothesis Tracking. FUSION Lin Wu, Fei Wang, Yongjun Xu, Yu Jiang, Jiakai Wang
2020	B	`conf`	A Self-adaptive Low Delay MAC Protocol For Event-driven Industrial Wireless Networks. MASS Yida Xu, Qi Wang, Yongjun Xu
2020	B	`conf`	ARdeep: Adaptive and Reliable Routing Protocol for Mobile Robotic Networks with Deep Reinforcement Learning. LCN Jianmin Liu, Qi Wang, Chentao He, Yongjun Xu
2020	—	`conf`	CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. ICANN (2) Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu
2020	J	`jnl`	Channel Pruning via Multi-Criteria based on Weight Dependency. CoRR Yangchun Yan, Chao Li, Rongzuo Guo, Kang Yang, Yongjun Xu
2020	A	`conf`	DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. ECAI Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu
2020	J	`jnl`	Data Security and Privacy Challenges of Computing Offloading in FINs. IEEE Netw. Fei Wang, Boyu Diao, Tao Sun, Yongjun Xu
2020	B	`conf`	Efficient Search for the Number of Channels for Convolutional Neural Networks. IJCNN Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu
2020	J	`jnl`	GHFP: Gradually Hard Filter Pruning. CoRR Linhang Cai, Zhulin An, Yongjun Xu
2020	A*	`conf`	Gated Convolutional Networks with Hybrid Connectivity for Image Classification. AAAI Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu
2020	B	`conf`	HLNet: Modeling High and Low Frequencies for Scene Parsing. IJCNN Kaiqiang Xu, Zhulin An, Hui Zhu, Xiaolong Hu, Yongjun Xu
2020	J	`jnl`	Identifying Port Calls of Ships by Uncertain Reasoning with Trajectory Data. ISPRS Int. J. Geo Inf. Lin Wu, Yongjun Xu, Fei Wang
2020	J	`jnl`	Localizing Multi-scale Semantic Patches for Image Classification. CoRR Chuanguang Yang, Xiaolong Hu, Zhulin An, Hui Zhu, Yongjun Xu
2020	J	`jnl`	MPDMAC-SIC: Priority-based distributed low delay MAC with successive interference cancellation for multi-hop industrial wireless networks. Comput. Commun. Yida Xu, Qi Wang, Yongjun Xu, Jianmin Liu, Chentao He
2020	J	`jnl`	Multi-view Contrastive Learning for Online Knowledge Distillation. CoRR Chuanguang Yang, Zhulin An, Xiaolong Hu, Hui Zhu, Kaiqiang Xu, Yongjun Xu
2020	J	`jnl`	PFGDF: Pruning Filter via Gaussian Distribution Feature for Deep Neural Networks Acceleration. CoRR Jianrong Xu, Chao Li, Bifeng Cui, Kang Yang, Yongjun Xu
2020	J	`jnl`	QMR: Q-learning based Multi-objective optimization Routing protocol for Flying Ad Hoc Networks. Comput. Commun. Jianmin Liu, Qi Wang, Chentao He, Katia Jaffrès-Runser, Yida Xu, Zhenyu Li, Yongjun Xu
2020	J	`jnl`	Shortest Uplink Scheduling for NOMA-Based Industrial Wireless Networks. IEEE Syst. J. Chaonong Xu, Mianze Wu, Yida Xu, Yongjun Xu
2020	B	`conf`	Softer Pruning, Incremental Regularization. ICPR Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu
2020	J	`jnl`	Softer Pruning, Incremental Regularization. CoRR Linhang Cai, Zhulin An, Chuanguang Yang, Yongjun Xu
2020	B	`conf`	TULSN: Siamese Network for Trajectory-user Linking. IJCNN Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu
2020	B	`conf`	Towards More Efficient And Effective Inference: The Joint Decision Of Multi-Participants. ICIP Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu
2020	J	`jnl`	Towards More Efficient and Effective Inference: The Joint Decision of Multi-Participants. CoRR Hui Zhu, Zhulin An, Kaiqiang Xu, Xiaolong Hu, Yongjun Xu
2020	B	`conf`	Trajectory-User Link with Attention Recurrent Networks. ICPR Tao Sun, Yongjun Xu, Fei Wang, Lin Wu, Tangwen Qian, Zezhi Shao
2020	J	`jnl`	Uplink Low-Power Scheduling for Delay-Bounded Industrial Wireless Networks Based on Imperfect Power-Domain NOMA. IEEE Syst. J. Chaonong Xu, Mianze Wu, Yongjun Xu, Yuguang Fang
2019	J	`jnl`	DRNet: Dissect and Reconstruct the Convolutional Neural Network via Interpretable Manners. CoRR Xiaolong Hu, Zhulin An, Chuanguang Yang, Hui Zhu, Kaiqiang Xu, Yongjun Xu
2019	—	`conf`	EENA: Efficient Evolution of Neural Architecture. ICCV Workshops Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Erhu Zhao, Yongjun Xu
2019	J	`jnl`	EENA: Efficient Evolution of Neural Architecture. CoRR Hui Zhu, Zhulin An, Chuanguang Yang, Kaiqiang Xu, Yongjun Xu
2019	J	`jnl`	Gated Convolutional Networks with Hybrid Connectivity for Image Classification. CoRR Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kaiqiang Xu, Chao Li, Boyu Diao, Yongjun Xu
2019	A	`conf`	L0 Regularization based Fine-grained Neural Network Pruning Method. ECAI Qixin Xie, Chao Li, Boyu Diao, Zhulin An, Yongjun Xu
2019	J	`jnl`	LAMANCO: A Lightweight Anonymous Mutual Authentication Scheme for $N$ -Times Computing Offloading in IoT. IEEE Internet Things J. Fei Wang, Yongjun Xu, Liehuang Zhu, Xiaojiang Du, Mohsen Guizani
2019	J	`jnl`	Low-complexity uplink scheduling algorithms with power control in successive interference cancellation based wireless mud-logging systems. Wirel. Networks Chaonong Xu, Haichuan Ding, Yongjun Xu
2019	J	`jnl`	MLOPS: A SIC-Based Minimum Frame Length With Optimized Power Scheduling for UANs. IEEE Access Chao Li, Yida Xu, Yongjun Xu, Boyu Diao, Zhulin An
2019	—	`conf`	Multi-objective Pruning for CNNs Using Genetic Algorithm. ICANN (2) Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu
2019	J	`jnl`	Multi-objective Pruning for CNNs using Genetic Algorithm. CoRR Chuanguang Yang, Zhulin An, Chao Li, Boyu Diao, Yongjun Xu
2019	C	`conf`	PDMAC-SIC: Priority-based Distributed Low Delay MAC with Successive Interference Cancellation for Industrial Wireless Networks. APNOMS Yida Xu, Qi Wang, Jianmin Liu, Chentao He, Boyu Diao, Yongjun Xu
2019	C	`conf`	Real-time Ship Track Association: a Benchmark and a Network-Based Method. FUSION Lin Wu, Yongjun Xu, Fei Wang, Qiang Lu, Miao Hu
2019	J	`jnl`	Rethinking the Number of Channels for the Convolutional Neural Network. CoRR Hui Zhu, Zhulin An, Chuanguang Yang, Xiaolong Hu, Kaiqiang Xu, Yongjun Xu
2018	Misc	`conf`	A Deep Neural Network Compression Algorithm Based on Knowledge Transfer for Edge Device. SEC Chao Li, Xiaolong Ma, Zhulin An, Yongjun Xu
2018	J	`jnl`	Complexity of minimum uplink scheduling in backbone-assisted successive interference cancellation-based wireless networks. Comput. Networks Chaonong Xu, Kaichi Ma, Yongjun Xu
2018	J	`jnl`	Optimal Power Scheduling for Uplink Transmissions in SIC-Based Industrial Wireless Networks With Guaranteed Real-Time Performance. IEEE Trans. Veh. Technol. Chaonong Xu, Kaichi Ma, Yida Xu, Yongjun Xu, Yuguang Fang
2017	C	`conf`	A certifiable resource allocation for real-time multi-hop 6TiSCH wireless networks. WFCS Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg
2017	—	`conf`	EPAF: An Efficient Pseudonymous-Based Inter-vehicle Authentication Framework for VANET. MSN Fei Wang, Yifan Du, Yongjun Xu, Tan Cheng, Xiaoli Pan
2017	—	`conf`	Optimal Power Scheduling for SIC-Based Uplink Wireless Networks with Guaranteed Real-Time Performance. WASA Chaonong Xu, Kaichi Ma, Yida Xu, Yongjun Xu
2017	J	`jnl`	TDMA Versus CSMA/CA for Wireless Multihop Communications: A Stochastic Worst-Case Delay Analysis. IEEE Trans. Ind. Informatics Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul
2016	J	`jnl`	2FLIP: A Two-Factor Lightweight Privacy-Preserving Authentication Scheme for VANET. IEEE Trans. Veh. Technol. Fei Wang, Yongjun Xu, Hanwen Zhang, Yujun Zhang, Liehuang Zhu
2016	B	`conf`	A Reliable Depth-Based Routing Protocol with Network Coding for Underwater Sensor Networks. ICPADS Boyu Diao, Yongjun Xu, Qi Wang, Zhao Chen, Chao Li, Zhulin An, Guangjie Han
2016	J	`jnl`	Keep all mobile users′ whereabouts secure: a radio frequency identification protocol anti-tracking in 5G. Int. J. Commun. Syst. Xi Yin, Binxing Fang, Shuyuan Jin, Meikang Qiu, Athanasios V. Vasilakos, Yongjun Xu
2016	J	`jnl`	LESPP: lightweight and efficient strong privacy preserving authentication scheme for secure VANET communication. Computing Mingzhong Wang, Dan Liu, Liehuang Zhu, Yongjun Xu, Fei Wang
2016	C	`conf`	TDMA versus CSMA/CA for wireless multi-hop communications: A comparison for soft real-time networking. WFCS Qi Wang, Katia Jaffrès-Runser, Yongjun Xu, Jean-Luc Scharbarg, Zhulin An, Christian Fraboul
2015	J	`jnl`	A Systematic Design Method for Large-Scale Wireless Ad Hoc Network Protocol Based on Optimization Decomposition Theory. Int. J. Distributed Sens. Networks Chaonong Xu, Chi Zhang, Yongjun Xu, Zhiguang Wang
2015	J	`jnl`	Improving Both Energy and Time Efficiency of Depth-Based Routing for Underwater Sensor Networks. Int. J. Distributed Sens. Networks Boyu Diao, Yongjun Xu, Zhulin An, Fei Wang, Chao Li
2015	C	`conf`	Vessel trajectory partitioning based on hierarchical fusion of position data. FUSION Xianbin Wu, Lin Wu, Yongjun Xu, Zhulin An, Boyu Diao
2014	Misc	`conf`	A DoS-resilient enhanced two-factor user authentication scheme in wireless sensor networks. ICNC Fei Wang, Yujun Zhang, Yongjun Xu, Lin Wu, Boyu Diao
2014	J	`jnl`	Achieving optimal admission control with dynamic scheduling in energy constrained network systems. J. Netw. Comput. Appl. Weiwei Fang, Zhulin An, Lei Shu, Qingyu Liu, Yongjun Xu, Yuan An
2014	—	`conf`	Belief Fusion of Predictions of Industries in China's Stock Market. Belief Functions Yongjun Xu, Lin Wu, Xianbin Wu, Zhiwei Xu
2013	J	`jnl`	A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks. Int. J. Distributed Sens. Networks Fei Wang, Yongjun Xu, Lin Wu, Longyijia Li, Dan Liu, Liehuang Zhu
2013	A	`conf`	Authenticating and tracing biological anonym of VANET based on KMC decentralization and two-factor. MobiSys Fei Wang, Yongjun Xu, Lin Wu, Dan Liu, Liehuang Zhu
2013	J	`jnl`	Distributed Middleware of Large-Scale Wireless Networks. Int. J. Distributed Sens. Networks Chaonong Xu, Yongjun Xu, Xinrong Li, Hongsong Zhu, Guangjie Han
2013	J	`jnl`	OPCPP: An Online Plug-Configure-Play Experiment Platform for WSN. Int. J. Distributed Sens. Networks Wei Lin, Xuehai Hong, Chaonong Xu, Yongjun Xu, Dengchang Zhao
2013	A	`conf`	Odometer in the pocket. MobiSys Lin Wu, Yongjun Xu, Zhulin An, Chaonong Xu, Fei Wang
2013	—	`conf`	Plug-configure-Play Service-oriented Gateway - For Fast and Easy Sensor Network Application Development. SENSORNETS Lin Wu, Yongjun Xu, Chaonong Xu, Fei Wang
2013	—	`conf`	Poster abstract: human tracking based on LRF and wearable IMU data fusion. IPSN Lin Wu, Zhulin An, Yongjun Xu, Li Cui
2013	Misc	`conf`	The construction and research of lightweight cryptography SOPT-S boxes based on the inverse mapping in galois field. GrC Zhao-long Fan, Qi-jian Xu, Yongjun Xu, Fei Wang
2013	J	`jnl`	Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol. Int. J. Distributed Sens. Networks Dengchang Zhao, Zhulin An, Yongjun Xu
2012	J	`jnl`	An energy-efficient link quality monitoring scheme for wireless networks. Wirel. Commun. Mob. Comput. Hongsong Zhu, Xinrong Li, Yongjun Xu, Xiaowei Li, Yan Liu
2012	J	`jnl`	Localization Algorithms of Underwater Wireless Sensor Networks: A Survey. Sensors Guangjie Han, Jinfang Jiang, Lei Shu, Yongjun Xu, Feng Wang
2011	J	`jnl`	A Loss Inference Algorithm for Wireless Sensor Networks to Improve Data Reliability of Digital Ecosystems. IEEE Trans. Ind. Electron. Yu Yang, Yongjun Xu, Xiaowei Li, Canfeng Chen
2011	J	`jnl`	A Security Mechanism For RFID With Dependable Proxy. Intell. Autom. Soft Comput. Jun Zhou, Yongjun Xu, Xiaowei Li
2011	J	`jnl`	Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks. IEEE Trans. Ind. Electron. Zhulin An, Hongsong Zhu, Xinrong Li, Chaonong Xu, Yongjun Xu, Xiaowei Li
2010	J	`jnl`	Linear Pulse-Coupled Oscillators Model¬ - A New Approach for Time Synchronization in Wireless Sensor Networks. Wirel. Sens. Netw. Zhulin An, Hongsong Zhu, Meilin Zhang, Chaonong Xu, Yongjun Xu, Xiaowei Li
2010	J	`jnl`	Passive Loss Inference in Wireless Sensor Networks Using EM Algorithm. Wirel. Sens. Netw. Yu Yang, Zhulin An, Yongjun Xu, Xiaowei Li, Canfeng Chen
2009	B	`conf`	A sensor network performance inference algorithm based on passive measurement. WCNC Yu Yang, Yongjun Xu, Xiaowei Li
2008	—	`conf`	An Improved Genetic Algorithm Based on Variable Step-Size Search. ICYCS Guannan Zhu, Ning Xu, Zhulin An, Yongjun Xu
2007	—	`conf`	Acoustic Source Localization in Wireless Sensor Networks. IITA Mingfei Wang, Linlin Ci, Ping Zhan, Yongjun Xu
2007	—	`conf`	Applying Wireless Sensor Networks to Context-Awareness in Ubiquitous Learning. ICNC (5) Mingfei Wang, Linlin Ci, Ping Zhan, Yongjun Xu
2006	C	`conf`	A Lightweight Scheme for Trust Relationship Establishment in Ubiquitous Sensor Networks. CIT Lei Xie, Yongjun Xu, Xiaowei Li, Yuefei Zhu
2006	—	`conf`	A Novel Localization Scheme Based on RSS Data for Wireless Sensor Networks. APWeb Workshops Hongyang Chen, Ping Deng, Yongjun Xu, Xiaowei Li
2006	—	`conf`	A Tamper-resistance Key Pre-distribution Scheme for Wireless Sensor Networks. GCC Workshops Lei Xie, Hongsong Zhu, Yongjun Xu, Yuefei Zhu
2005	—	`conf`	Vector extraction for average total power estimation. ASP-DAC Yongjun Xu, Jinghua Chen, Zuying Luo, Xiaowei Li
2004	—	`conf`	A maximum total leakage current estimation method. ISCAS (2) Yongjun Xu, Zuying Luo, Xiaowei Li
2003	—	`conf`	Average Leakage Current Macromodeling for Dual-Threshold Voltage Circuits. Asian Test Symposium Yongjun Xu, Zuying Luo, Zhiguo Chen, Xiaowei Li
2003	—	`conf`	Test Resource Partitioning Based on Efficient Response Compaction for Test Time and Teste. Asian Test Symposium Yinhe Han, Yongjun Xu, Huawei Li, Xiaowei Li, Anshuman Chandra