Self-Quotient Image based CNN: A Basic Image Processing assisting Convolutional Neural Network. - Xingrun Xing; Min Dong 003; Cheng Bi; Lin Yang (ICDSP, 2019)

Image Super-Resolution Using Aggregated Residual Transformation Networks With Spatial Attention. - Xingrun Xing; Dawei Zhang 006 (IEEE Access, 2019)

Towards Accurate Binary Neural Networks via Modeling Contextual Dependencies. - Xingrun Xing; Yangguang Li 001; Wei Li 022; Wenrui Ding; Yalong Jiang; Yufeng Wang 004; Jing Shao; Chunlei Liu 001; Xianglong Liu 001 (ECCV (11), 2022)

Equal Loss: A Simple Loss Function for Noise Robust Learning. - Lei Cui; Huan Peng; Yangguang Li; Chuming Li; Xingrun Xing (ICASSP, 2022)

Binary Dense Predictors for Human Pose Estimation Based on Dynamic Thresholds and Filtering. - Xingrun Xing; Yalong Jiang; Baochang Zhang 001; Wenrui Ding; Yangguang Li; Hongguang Li; Huan Peng (ICASSP, 2022)

Quantifying and Attributing the Hallucination of Large Language Models via Association Analysis. - Li Du; Yequan Wang; Xingrun Xing; Yiqun Ya; Xiang Li 001; Xin Jiang 005; Xuezhi Fang (CoRR, 2023)

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 (AAAI, 2024)

LM-Cocktail: Resilient Tuning of Language Models via Model Merging. - Shitao Xiao; Zheng Liu 011; Peitian Zhang; Xingrun Xing (ACL (Findings), 2024)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 006 (EMNLP, 2024)

SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms. - Xingrun Xing; Zheng Zhang 006; Ziyi Ni; Shitao Xiao; Yiming Ju; Siqi Fan 001; Yequan Wang; Jiajun Zhang; Guoqi Li (ICML, 2024)

KLoB: a Benchmark for Assessing Knowledge Localization Methods in Language Models. - Yiming Ju; Huimin Ma; Xingrun Xing; Zhixiong Zeng (PRICAI (2), 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)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CoRR, 2024)

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging. - Yiming Ju; Ziyi Ni; Xingrun Xing; Zhixiong Zeng; Hanyu Zhao; Siqi Fan 001; Zheng Zhang 020 (CoRR, 2024)

SNN-BERT: Training-efficient Spiking Neural Networks for energy-efficient BERT. - Qiaoyi Su; Shijie Mei; Xingrun Xing; Man Yao; Jiajun Zhang; Bo Xu 002; Guoqi Li (Neural Networks, 2024)

Position-Aware Depth Decay Decoding (D³): Boosting Large Language Model Inference Efficiency. - Siqi Fan 001; Xuezhi Fang; Xingrun Xing; Peng Han 005; Shuo Shang; Yequan Wang (ACL (Findings), 2025)

OmniGen: Unified Image Generation. - Shitao Xiao; Yueze Wang; Junjie Zhou 001; Huaying Yuan; Xingrun Xing; Ruiran Yan; Chaofan Li; Shuting Wang 002; Tiejun Huang 003; Zheng Liu 011 (CVPR, 2025)

From Pixels to Tokens: Byte-Pair Encoding on Quantized Visual Modalities. - Wanpeng Zhang 002; Zilong Xie; Yicheng Feng; Yijiang Li; Xingrun Xing; Sipeng Zheng; Zongqing Lu 002 (ICLR, 2025)

SpikeLLM: Scaling up Spiking Neural Network to Large Language Models via Saliency-based Spiking. - Xingrun Xing; Boyan Gao; Zheng Liu; David A. Clifton; Shitao Xiao; Wanpeng Zhang 002; Li Du; Zheng Zhang; Guoqi Li; Jiajun Zhang (ICLR, 2025)

Aligning Instruction Tuning with Pre-training. - Yiming Liang; Tianyu Zheng; Xinrun Du; Ge Zhang 009; Jiaheng Liu; Xingwei Qu; Wenqiang Zu; Xingrun Xing; Chujie Zheng; Lei Ma 008; Wenhu Chen; Guoyin Wang; et al. (CoRR, 2025)

Enhancing Generalization via Sharpness-Aware Trajectory Matching for Dataset Condensation. - Boyan Gao; Bo Zhao; Shreyank N. Gowda; Xingrun Xing; Yibo Yang; Timothy M. Hospedales; David A. Clifton (CoRR, 2025)

EfficientLLM: Scalable Pruning-Aware Pretraining for Architecture-Agnostic Edge Language Models. - Xingrun Xing; Zheng Liu; Shitao Xiao; Boyan Gao; Yiming Liang; Wanpeng Zhang 002; Haokun Lin; Guoqi Li; Jiajun Zhang (CoRR, 2025)

Position-Aware Depth Decay Decoding (D3): Boosting Large Language Model Inference Efficiency. - Siqi Fan 001; Xuezhi Fang; Xingrun Xing; Peng Han 005; Shuo Shang; Yequan Wang (CoRR, 2025)