Xingrun Xing

According to our database, Xingrun Xing authored at least 13 papers between 2019 and 2024.

Collaborative distances:

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

2024

SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT.

Qiaoyi Su, Shijie Mei, Xingrun Xing, Man Yao, Jiajun Zhang, Bo Xu, Guoqi Li

Neural Networks, 2024

OmniGen: Unified Image Generation.

Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Shuting Wang, Tiejun Huang, Zheng Liu

CoRR, 2024

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking.

Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang

CoRR, 2024

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms.

Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LM-Cocktail: Resilient Tuning of Language Models via Model Merging.

Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing

Proceedings of the Findings of the Association for Computational Linguistics, 2024

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials.

Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

LM-Cocktail: Resilient Tuning of Language Models via Model Merging.

Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing

CoRR, 2023

Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis.

Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang

CoRR, 2023

2022

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering.

Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng

Proceedings of the IEEE International Conference on Acoustics, 2022

Equal Loss: A Simple Loss Function for Noise Robust Learning.

Lei Cui, Huan Peng, Yangguang Li, Chuming Li, Xingrun Xing

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies.

Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu

Proceedings of the Computer Vision - ECCV 2022, 2022

2019

Image Super-Resolution Using Aggregated Residual Transformation Networks With Spatial Attention.

Xingrun Xing, Dawei Zhang

IEEE Access, 2019

Self-Quotient Image based CNN: A Basic Image Processing assisting Convolutional Neural Network.

Xingrun Xing, Min Dong, Cheng Bi, Lin Yang

Proceedings of the 2019 3rd International Conference on Digital Signal Processing, 2019