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Journal Articles
- 2024
[j2]Qiaoyi Su, Shijie Mei
, Xingrun Xing, Man Yao, Jiajun Zhang, Bo Xu, Guoqi Li:
SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT. Neural Networks 180: 106630 (2024)- 2019
- [j1]Xingrun Xing, Dawei Zhang:
Image Super-Resolution Using Aggregated Residual Transformation Networks With Spatial Attention. IEEE Access 7: 92572-92585 (2019)
Conference and Workshop Papers
- 2024
- [c7]Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang:
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials. AAAI 2024: 16094-16102 - [c6]Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing:
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. ACL (Findings) 2024: 2474-2488 - [c5]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. ICML 2024 - 2022
- [c4]Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu:
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. ECCV (11) 2022: 536-552 - [c3]Xingrun Xing, Yalong Jiang, Baochang Zhang, Wenrui Ding, Yangguang Li, Hongguang Li, Huan Peng:
Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. ICASSP 2022: 1705-1709 - [c2]Lei Cui, Huan Peng, Yangguang Li, Chuming Li, Xingrun Xing:
Equal Loss: A Simple Loss Function for Noise Robust Learning. ICASSP 2022: 1950-1954 - 2019
- [c1]Xingrun Xing, Min Dong, Cheng Bi, Lin Yang:
Self-Quotient Image based CNN: A Basic Image Processing assisting Convolutional Neural Network. ICDSP 2019: 17-21
Informal and Other Publications
- 2024
- [i7]Xingrun Xing, Zheng Zhang, Ziyi Ni, Shitao Xiao, Yiming Ju, Siqi Fan, Yequan Wang, Jiajun Zhang, Guoqi Li:
SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. CoRR abs/2406.03287 (2024) - [i6]Xingrun Xing, Boyan Gao, Zheng Zhang, David A. Clifton, Shitao Xiao, Li Du, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. CoRR abs/2407.04752 (2024) - [i5]Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Shuting Wang, Tiejun Huang, Zheng Liu:
OmniGen: Unified Image Generation. CoRR abs/2409.11340 (2024) - 2023
- [i4]Li Du, Yequan Wang, Xingrun Xing, Yiqun Ya, Xiang Li, Xin Jiang, Xuezhi Fang:
Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis. CoRR abs/2309.05217 (2023) - [i3]Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing:
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. CoRR abs/2311.13534 (2023) - [i2]Xingrun Xing, Li Du, Xinyuan Wang, Xianlin Zeng, Yequan Wang, Zheng Zhang, Jiajun Zhang:
BiPFT: Binary Pre-trained Foundation Transformer with Low-rank Estimation of Binarization Residual Polynomials. CoRR abs/2312.08937 (2023) - 2022
- [i1]Xingrun Xing, Yangguang Li, Wei Li, Wenrui Ding, Yalong Jiang, Yufeng Wang, Jing Shao, Chunlei Liu, Xianglong Liu:
Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. CoRR abs/2209.01404 (2022)
Coauthor Index
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