Xinglin Pan

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 24

Top Topics

Spatial Pooling

Image Classification

Intensive Care Units

Top Venues

Publications

Penglei Sun, Yaoxian Song, Xinglin Pan, Peijie Dong, Xiaofei Yang, Qiang Wang, Zhixu Li, Tiefeng Li, Xiaowen Chu
Multi-Task Domain Adaptation for Language Grounding with 3D Objects. CoRR (2024)
Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. INFOCOM (2024)
Ruixi Li, Zenglin Xu, Jing Xu, Xinglin Pan, Hong Wu, Xiaobo Huang, Mengling Feng
Predicting intubation for intensive care units patients: A deep learning approach to improve patient management. Int. J. Medical Informatics 186 (2024)
Peijie Dong, Lujun Li, Zhenheng Tang, Xiang Liu, Xinglin Pan, Qiang Wang, Xiaowen Chu
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models. CoRR (2024)
Xinglin Pan, Wenxiang Lin, Shaohuai Shi, Xiaowen Chu, Weinong Sun, Bo Li
Parm: Efficient Training of Large Sparsely-Activated Models with Dedicated Schedules. CoRR (2024)
Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu
ParZC: Parametric Zero-Cost Proxies for Efficient NAS. CoRR (2024)
Shaohuai Shi, Xinglin Pan, Qiang Wang, Chengjian Liu, Xiaozhe Ren, Zhongzhe Hu, Yu Yang, Bo Li, Xiaowen Chu
ScheMoE: An Extensible Mixture-of-Experts Distributed Training System with Tasks Scheduling. EuroSys (2024)
Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu
Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models. CoRR (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. ICONIP (5) (2023)
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
RegNet: Self-Regulated Network for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu
Generalized Category Discovery with Clustering Assignment Consistency. CoRR (2023)
Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu
Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining. CoRR (2023)
Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu
FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs. CoRR (2023)
Xinglin Pan, Mingxin Gan
Multi-behavior recommendation based on intent learning. Multim. Syst. 29 (6) (2023)
Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li
PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining. INFOCOM (2023)
Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. NeurIPS (2022)
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu
AFINet: Attentive Feature Integration Networks for image classification. Neural Networks 155 (2022)
Jing Xu, Xu Luo, Xinglin Pan, Wenjie Pei, Yanan Li, Zenglin Xu
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid. CoRR (2022)
Qiushi Li, Ju Ren, Xinglin Pan, Yuezhi Zhou, Yaoxue Zhang
ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators. ICDCS (2022)
Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu
Exploring Category-correlated Feature for Few-shot Image Classification. CoRR (2021)
Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu
AFINet: Attentive Feature Integration Networks for Image Classification. CoRR (2021)
Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu
RegNet: Self-Regulated Network for Image Classification. CoRR (2021)
Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang
LdsConv: Learned Depthwise Separable Convolutions by Group Pruning. Sensors 20 (15) (2020)
Qiushi Li, Wenwu Zhu, Chao Wu, Xinglin Pan, Fan Yang, Yuezhi Zhou, Yaoxue Zhang
InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages. ACM Multimedia (2020)