Xinglin Pan

According to our database, Xinglin Pan authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ParZC: Parametric Zero-Cost Proxies for Efficient NAS.

Peijie Dong, Lujun Li, Xinglin Pan, Zimian Wei, Xiang Liu, Qiang Wang, Xiaowen Chu

CoRR, 2024

2023

Multi-behavior recommendation based on intent learning.

Xinglin Pan, Mingxin Gan

Multim. Syst., December, 2023

RegNet: Self-Regulated Network for Image Classification.

Jing Xu, Yu Pan, Xinglin Pan, Steven C. H. Hoi, Zhang Yi, Zenglin Xu

IEEE Trans. Neural Networks Learn. Syst., November, 2023

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models.

Longteng Zhang, Xiang Liu, Zeyu Li, Xinglin Pan, Peijie Dong, Ruibo Fan, Rui Guo, Xin Wang, Qiong Luo, Shaohuai Shi, Xiaowen Chu

CoRR, 2023

Reliable and Efficient In-Memory Fault Tolerance of Large Language Model Pretraining.

Yuxin Wang, Shaohuai Shi, Xin He, Zhenheng Tang, Xinglin Pan, Yang Zheng, Xiaoyu Wu, Amelie Chi Zhou, Bingsheng He, Xiaowen Chu

CoRR, 2023

FusionAI: Decentralized Training and Deploying LLMs with Massive Consumer-Level GPUs.

Zhenheng Tang, Yuxin Wang, Xin He, Longteng Zhang, Xinglin Pan, Qiang Wang, Rongfei Zeng, Kaiyong Zhao, Shaohuai Shi, Bingsheng He, Xiaowen Chu

CoRR, 2023

PipeMoE: Accelerating Mixture-of-Experts through Adaptive Pipelining.

Shaohuai Shi, Xinglin Pan, Xiaowen Chu, Bo Li

Proceedings of the IEEE INFOCOM 2023, 2023

Generalized Category Discovery with Clustering Assignment Consistency.

Xiangli Yang, Xinglin Pan, Irwin King, Zenglin Xu

Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022

AFINet: Attentive Feature Integration Networks for image classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu

Neural Networks, 2022

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid.

Jing Xu, Xu Luo, Xinglin Pan, Yanan Li, Wenjie Pei, Zenglin Xu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ENIGMA: Low-Latency and Privacy-Preserving Edge Inference on Heterogeneous Neural Network Accelerators.

Qiushi Li, Ju Ren, Xinglin Pan, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

Exploring Category-correlated Feature for Few-shot Image Classification.

Jing Xu, Xinglin Pan, Xu Luo, Wenjie Pei, Zenglin Xu

CoRR, 2021

AFINet: Attentive Feature Integration Networks for Image Classification.

Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Zenglin Xu

CoRR, 2021

2020

LdsConv: Learned Depthwise Separable Convolutions by Group Pruning.

Wenxiang Lin, Yan Ding, Hua-Liang Wei, Xinglin Pan, Yutong Zhang

Sensors, 2020

InvisibleFL: Federated Learning over Non-Informative Intermediate Updates against Multimedia Privacy Leakages.

Qiushi Li, Wenwu Zhu, Chao Wu, Xinglin Pan, Fan Yang, Yuezhi Zhou, Yaoxue Zhang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020