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2020 – today
- 2026
[c14]Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Haokun Lin, Xianlin Zeng, Guoqi Li, Jiajun Zhang:
EfficientLLM: Unified Pruning-Aware Pretraining for Auto-Designed Compact Language Models. ACL (1) 2026: 7813-7830- [i19]Han Xu, Xuerui Qiu, Baiyu Chen, Xinhao Luo, Xingrun Xing, Jiahong Zhang, Bo Lei, Tiejun Huang, Bo Xu, Guoqi Li:
Spike-driven Large Language Model. CoRR abs/2604.16475 (2026) - [i18]Xingrun Xing, Haoqing Wang, Boyan Gao, Ziheng Li, Yehui Tang:
Trust Region On-Policy Distillation. CoRR abs/2606.01249 (2026) - [i17]Ziheng Li, Xingrun Xing, Haoqing Wang, Zhi-Hong Deng, Yehui Tang:
MemTrain: Self-Supervised Context Memory Training. CoRR abs/2606.03197 (2026) - 2025
- [c13]Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang:
Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency. ACL (Findings) 2025: 2990-3001 - [c12]Shitao Xiao, Yueze Wang, Junjie Zhou, Huaying Yuan, Xingrun Xing, Ruiran Yan, Chaofan Li, Shuting Wang, Tiejun Huang, Zheng Liu:
OmniGen: Unified Image Generation. CVPR 2025: 13294-13304 - [c11]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. ICLR 2025 - [c10]Xingrun Xing, Boyan Gao, Zheng Liu, David A. Clifton, Shitao Xiao, Wanpeng Zhang, Li Du, Zheng Zhang, Guoqi Li, Jiajun Zhang:
SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. ICLR 2025 - [i16]Yiming Liang, Tianyu Zheng, Xinrun Du, Ge Zhang, Jiaheng Liu, Xingwei Qu, Wenqiang Zu, Xingrun Xing, Chujie Zheng, Lei Ma, Wenhu Chen, Guoyin Wang, Zhaoxiang Zhang, Wenhao Huang, Xiang Yue, Jiajun Zhang:
Aligning Instruction Tuning with Pre-training. CoRR abs/2501.09368 (2025) - [i15]Boyan Gao, Bo Zhao, Shreyank N. Gowda, Xingrun Xing, Yibo Yang, Timothy M. Hospedales, David A. Clifton:
Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. CoRR abs/2502.01865 (2025) - [i14]Xingrun Xing, Zheng Liu, Shitao Xiao, Boyan Gao, Yiming Liang, Wanpeng Zhang
, Haokun Lin, Guoqi Li, Jiajun Zhang:
EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. CoRR abs/2502.06663 (2025) - [i13]Siqi Fan, Xuezhi Fang, Xingrun Xing, Peng Han, Shuo Shang, Yequan Wang:
Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency. CoRR abs/2503.08524 (2025) - [i12]Hao Zhang, Mengsi Lyu, Zhuo Chen, Xingrun Xing, Yulong Ao, Yonghua Lin:
PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference. CoRR abs/2509.04467 (2025) - [i11]Shujun Xia, Haokun Lin, Yichen Wu, Yinan Zhou, Zixuan Li, Zhongwei Wan, Xingrun Xing, Yefeng Zheng, Xiang Li, Caifeng Shan, Zhenan Sun, Quanzheng Li:
MedREK: Retrieval-Based Editing for Medical LLMs with Key-Aware Prompts. CoRR abs/2510.13500 (2025) - [i10]Xingrun Xing, Zhiyuan Fan, Jie Lou, Guoqi Li, Jiajun Zhang, Debing Zhang:
PretrainZero: Reinforcement Active Pretraining. CoRR abs/2512.03442 (2025) - 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) - [c9]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 - [c8]Shitao Xiao, Zheng Liu, Peitian Zhang, Xingrun Xing:
LM-Cocktail: Resilient Tuning of Language Models via Model Merging. ACL (Findings) 2024: 2474-2488 - [c7]Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang:
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. EMNLP 2024: 15952-15959 - [c6]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: 54698-54714 - [c5]Yiming Ju, Huimin Ma, Xingrun Xing, Zhixiong Zeng:
KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. PRICAI (2) 2024: 376-387 - [i9]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) - [i8]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) - [i7]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) - [i6]Wanpeng Zhang, Zilong Xie, Yicheng Feng, Yijiang Li, Xingrun Xing, Sipeng Zheng, Zongqing Lu:
From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. CoRR abs/2410.02155 (2024) - [i5]Yiming Ju, Ziyi Ni, Xingrun Xing, Zhixiong Zeng, Hanyu Zhao, Siqi Fan, Zheng Zhang:
Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. CoRR abs/2410.03743 (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
- [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 - [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)
2010 – 2019
- 2019
- [j1]Xingrun Xing, Dawei Zhang:
Image Super-Resolution Using Aggregated Residual Transformation Networks With Spatial Attention. IEEE Access 7: 92572-92585 (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
Coauthor Index
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