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

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)

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)

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

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

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 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)

Optimal scheduling for energy harvesting mobile sensing devices. - Weiwei Fang; Xiaojie Zhao; Yuan An; Jing Li; Zhulin An; Qiang Liu 014 (Comput. Commun., 2016)

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)

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

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)

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)

HLNet: Modeling High and Low Frequencies for Scene Parsing. - Kaiqiang Xu; Zhulin An; Hui Zhu 002; Xiaolong Hu; 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)

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)

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

Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation. - Xiaohong Cai; Shubin Lou; Mingrui Shuai; Zhulin An (BrainLes@MICCAI (2), 2021)

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

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)

Research on time synchronization of linear pulse-coupled oscillators model with delay in nearest neighbor wireless multi-hop networks. - Lizhen Cui; Jian Cao; Zhulin An; Yong Yang; Qianqian Guo (Int. J. Distributed Sens. Networks, 2021)

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)

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

FPAR: Filter Pruning Via Attention and Rank Enhancement. - Yanming Chen 002; Mingrui Shuai; Shubin Lou; Zhulin An; Yiwen Zhang 001 (ICME, 2022)

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

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)

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

Lung Nodule Segmentation and Low-Confidence Region Prediction with Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (CoRR, 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)

Team AcieLee: Technical Report for EPIC-SOUNDS Audio-Based Interaction Recognition Challenge 2023. - Yuqi Li; Yizhi Luo; Xiaoshuai Hao; Chuanguang Yang; Zhulin An; Dantong Song; Wei Yi (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)

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

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)

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)

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)

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

Exemplar-Free Class Incremental Learning via Incremental Representation. - Libo Huang; Zhulin An; Yan Zeng 002; Chuanguang Yang; Xinqiang Yu; 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)

Open-category referring expression comprehension via multi-modal knowledge transfer. - Wenyu Mi; Jianji Wang 001; Fuzhen Zhuang; Zhulin An; Wei Guo (Neurocomputing, 2024)

Multi-scale conditional reconstruction generative adversarial network. - Yanming Chen 002; Jiahao Xu; Zhulin An; Fuzhen Zhuang (Image Vis. Comput., 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)

Lung Nodule Segmentation and Uncertain Region Prediction With an Uncertainty-Aware Attention Mechanism. - Han Yang; Qiuli Wang 001; Yue Zhang 042; Zhulin An; Chen Liu 026; Xiaohong Zhang 002; S. Kevin Zhou (IEEE Trans. Medical Imaging, 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)

Fpar: filter pruning via attention and rank enhancement for deep convolutional neural networks acceleration. - Yanming Chen 002; Gang Wu; Mingrui Shuai; Shubin Lou; Yiwen Zhang 001; Zhulin An (Int. J. Mach. Learn. Cybern., 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)

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)

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)

Low-redundancy distillation for continual learning. - Ruiqi Liu; Boyu Diao; Libo Huang; Zijia An; Hangda Liu; Zhulin An; Yongjun Xu 001 (Pattern Recognit., 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 Nonlinear Hash-based Optimization Method for SpMV on GPUs. - Chen Yan; Boyu Diao; Hangda Liu; Zhulin An; Yongjun Xu 001 (CoRR, 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)

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)

AMMKD: Adaptive Multimodal Multi-teacher Distillation for Lightweight Vision-Language Models. - Yuqi Li; Chuanguang Yang; Junhao Dong 001; Zhengtao Yao; Haoyan Xu; Zeyu Dong; Hansheng Zeng; Zhulin An; Yingli Tian (CoRR, 2025)

ARIES: Relation Assessment and Model Recommendation for Deep Time Series Forecasting. - Fei Wang 014; Yujie Li 008; Zezhi Shao; Chengqing Yu; Yisong Fu; Zhulin An; Yongjun Xu 001; Xueqi Cheng (CoRR, 2025)

Quantized Visual Geometry Grounded Transformer. - Weilun Feng; Haotong Qin; Mingqiang Wu; Chuanguang Yang; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Yulun Zhang 001; Michele Magno; Yongjun Xu 001 (CoRR, 2025)

QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification. - Weilun Feng; Chuanguang Yang; Haotong Qin; Mingqiang Wu; Yuqi Li; Xiangqi Li; Zhulin An; Libo Huang; Yulun Zhang 001; Michele Magno; Yongjun Xu 001 (CoRR, 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)

Selective Learning for Deep Time Series Forecasting. - Yisong Fu; Zezhi Shao; Chengqing Yu; Yujie Li 008; Zhulin An; Qi Wang 025; Yongjun Xu 001; Fei Wang 014 (CoRR, 2025)

Overcoming Prompts Pool Confusion via Parameterized Prompt for Incremental Object Detection. - Zijia An; Boyu Diao; Ruiqi Liu; Libo Huang; Chuanguang Yang; Fei Wang 014; Zhulin An; Yongjun Xu 001 (CoRR, 2025)