Text-independent writer identification using SIFT descriptor and contour-directional feature. - Yu-Jie Xiong; Ying Wen 003; Patrick S. P. Wang; Yue Lu 001 (ICDAR, 2015)

Chinese Writer Identification Using Contour-Directional Feature and Character Pair Similarity Measurement. - Yu-Jie Xiong; Lu Yue (ICDAR, 2017)

Off-line Text-Independent Writer Recognition: A Survey. - Yu-Jie Xiong; Yue Lu 001; Patrick S. P. Wang (Int. J. Pattern Recognit. Artif. Intell., 2017)

Improving Text-Independent Chinese Writer Identification with the Aid of Character Pairs. - Yu-Jie Xiong; Li Liu 010; Shujing Lyu; Patrick S. P. Wang; Yue Lu 001 (Int. J. Pattern Recognit. Artif. Intell., 2019)

Handwriting and Hand-Sketched Graphics Detection Using Convolutional Neural Networks. - Song-Yang Cheng; Yu-Jie Xiong; Jun-Qing Zhang; Yan-Chun Cao (ICPRAI, 2020)

Attention Based Multiple Siamese Network for Offline Signature Verification. - Yu-Jie Xiong; Song-Yang Cheng (ICDAR (3), 2021)

Attention U-Net with Feature Fusion Module for Robust Defect Detection. - Yu-Jie Xiong; Yong-Bin Gao; Hong Wu; Yao Yao (J. Circuits Syst. Comput., 2021)

SET: a squeeze-and-excitation transformer for offline signature verification. - Jian-Xin Ren; Jue Chen; Yu-Jie Xiong (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A cross entropy based approach to minimum propagation latency for controller placement in Software Defined Network. - Jue Chen; Yu-Jie Xiong; Xihe Qiu; Dun He; Hanmin Yin; Changwei Xiao (Comput. Commun., 2022)

Mitigating Lifetime-Energy-Makespan Issues in Reliability-Aware Workflow Scheduling for Big Data. - Yu-Jie Xiong; Song-Yang Cheng; Bin Chen (J. Circuits Syst. Comput., 2022)

Deep Frame-Point Sequence Consistent Network for Handwriting Trajectory Recovery. - Yu-Jie Xiong; Yu-Fan Dai; Dan Meng (ICPADS, 2023)

2C2S: A two-channel and two-stream transformer based framework for offline signature verification. - Jian-Xin Ren; Yu-Jie Xiong; Hongjian Zhan; Bo Huang 014 (Eng. Appl. Artif. Intell., 2023)

Learning Transferable Feature Representation with Swin Transformer for Object Recognition. - Jian-Xin Ren; Yu-Jie Xiong; Xi-Jiong Xie; Yu-Fan Dai (Neural Process. Lett., 2023)

PDCSN: A partition density clustering with self-adaptive neighborhoods. - Shuai Xing; Qianmin Su; Yu-Jie Xiong; Chun-Ming Xia (Expert Syst. Appl., 2023)

FaRE: A Feature-Aware Radical Encoding Strategy for Zero-Shot Chinese Character Recognition. - Hongjian Zhan; Yangfu Li; Yu-Jie Xiong; Yue Lu 001 (ACCV (1), 2024)

Free Lunch: Frame-level Contrastive Learning with Text Perceiver for Robust Scene Text Recognition in Lightweight Models. - Hongjian Zhan; Yangfu Li; Yu-Jie Xiong; Umapada Pal 001; Yue Lu 001 (ACM Multimedia, 2024)

LRATNet: Local-Relationship-Aware Transformer Network for Table Structure Recognition. - Guangjie Yang; Dajian Zhong; Yu-Jie Xiong; Hongjian Zhan (MMM (2), 2024)

Harmonious parameters and performance: Lightweight convolutional stage and local feature weighted fusion MLP for medical image segmentation. - Yan-Xu Chen; Yu-Jie Xiong; Xihe Qiu; Chun-Ming Xia (Biomed. Signal Process. Control., 2024)

Transformer-based end-to-end attack on text CAPTCHAs with triplet deep attention. - Bo Zhang; Yu-Jie Xiong; Chunming Xia; Yongbin Gao (Comput. Secur., 2024)

PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud Analysis. - Jia-wei Chen; Yu-Jie Xiong; Yongbin Gao (CoRR, 2024)

LoRA2: Multi-Scale Low-Rank Approximations for Fine-Tuning Large Language Models. - Jia-Chen Zhang; Yu-Jie Xiong; He-Xi Qiu; Dong-Hai Zhu; Chun-Ming Xia (CoRR, 2024)

CODP-1200: An AIGC based benchmark for assisting in child language acquisition. - Guannan Leng; Guowei Zhang; Yu-Jie Xiong; Jue Chen (Displays, 2024)

Adaptive graph-based feature normalization for facial expression recognition. - Yu-Jie Xiong; Qingqing Wang; Yangtao Du; Yue Lu (Eng. Appl. Artif. Intell., 2024)

Discrete diffusion models with Refined Language-Image Pre-trained representations for remote sensing image captioning. - Guannan Leng; Yu-Jie Xiong; Chunping Qiu; Congzhou Guo (Pattern Recognit. Lett., 2024)

Chain-of-LoRA: Enhancing the Instruction Fine-Tuning Performance of Low-Rank Adaptation on Diverse Instruction Set. - Xihe Qiu; Teqi Hao; Shaojie Shi; Xiaoyu Tan; Yu-Jie Xiong (IEEE Signal Process. Lett., 2024)

Kalman-SSM: Modeling Long-Term Time Series With Kalman Filter Structured State Spaces. - Zheng Zhou; Xu Guo; Yu-Jie Xiong; Chun-Ming Xia (IEEE Signal Process. Lett., 2024)

Attention-based multiple siamese networks with primary representation guiding for offline signature verification. - Yu-Jie Xiong; Song-Yang Cheng; Jian-Xin Ren; Yu-Jin Zhang (Int. J. Document Anal. Recognit., 2024)

Classification of coronary artery disease using radial artery pulse wave analysis via machine learning. - Yi Lyu; Hai-Mei Wu; Hai-Xia Yan; Rui Guo; Yu-Jie Xiong; Rui Chen; Wen-Yue Huang; Jing Hong; Rong Lyu; Yi-Qin Wang; Jin Xu (BMC Medical Informatics Decis. Mak., 2024)

Parameter-Efficient Fine-Tuning of Large Language Models via Deconvolution in Subspace. - Jia-Chen Zhang; Yu-Jie Xiong; Chun-Ming Xia; Dong-Hai Zhu; Xihe Qiu (COLING, 2025)

An innovative contrastive learning approach to improve image recognition robustness and interpretability via simulated environmental perturbations. - Leijun Cheng; Xihe Qiu; Xiaoyu Tan; Haoyu Wang 011; Yu-Jie Xiong (Eng. Appl. Artif. Intell., 2025)

Triplet trustworthiness validation with knowledge graph reasoning. - Geng Zhang; Yu-Jie Xiong; Jianpeng Hu; Chun-Ming Xia (Eng. Appl. Artif. Intell., 2025)

LoRA2: Multi-scale low-rank approximations for fine-tuning large language models. - Jia-Chen Zhang; Yu-Jie Xiong; Chun-Ming Xia; Dong-Hai Zhu; Hong-Jian Zhan (Neurocomputing, 2025)

AutoGRN: An adaptive multi-channel graph recurrent joint optimization network with Copula-based dependency modeling for spatio-temporal fusion in electrical power systems. - Haoyu Wang 011; Xihe Qiu; Yu-Jie Xiong; Xiaoyu Tan (Inf. Fusion, 2025)

Understanding Before Reasoning: Enhancing Chain-of-Thought with Iterative Summarization Pre-Prompting. - Dong-Hai Zhu; Yu-Jie Xiong; Jia-Chen Zhang; Xi-Jiong Xie; Chun-Ming Xia (CoRR, 2025)

Mixture of Routers. - Jia-Chen Zhang; Yu-Jie Xiong; Xihe Qiu; Chun-Ming Xia; Fei Dai (CoRR, 2025)

Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking. - Yu-Hang Wu; Yu-Jie Xiong; Hao Zhang; Jia-Chen Zhang; Zheng Zhou (CoRR, 2025)

CausalDiffTab: Mixed-Type Causal-Aware Diffusion for Tabular Data Generation. - Jia-Chen Zhang; Zheng Zhou; Yu-Jie Xiong; Chun-Ming Xia; Fei Dai (CoRR, 2025)

Subject or Style: Adaptive and Training-Free Mixture of LoRAs. - Jia-Chen Zhang; Yu-Jie Xiong (CoRR, 2025)

Wavelet Mixture of Experts for Time Series Forecasting. - Zheng Zhou; Yu-Jie Xiong; Jia-Chen Zhang; Chun-Ming Xia; Xi-Jiong Xie (CoRR, 2025)

Gradient-Direction-Aware Density Control for 3D Gaussian Splatting. - Zheng Zhou; Yu-Jie Xiong; Chun-Ming Xia; Jia-Chen Zhang; Hong-Jian Zhan (CoRR, 2025)

Multi-Sample Anti-Aliasing and Constrained Optimization for 3D Gaussian Splatting. - Zheng Zhou; Jia-Chen Zhang; Yu-Jie Xiong; Chun-Ming Xia (CoRR, 2025)