Gait Planning of Humanoid Robots Walking on Stairs. - Sheng Bi; Huaqing Min; Zhongjie Zhuang; Tuo Xia; Huaxi Mo; Jian Chen; Jincheng Xu; Yanping Zhou; Shaojun Li; Ronghua Luo; Min Dong 002 (FIRA, 2011)

A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation. - Jiaqi Liu; Qingfeng Du; Jincheng Xu (HPCC/SmartCity/DSS, 2018)

Helpful or Not? An investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF. - Jiechu Li; Qingfeng Du; Kun Shi; Yu He; Xin Wang; Jincheng Xu (SEKE, 2018)

An efficient implementation of 3D high-resolution imaging for large-scale seismic data with GPU/CPU heterogeneous parallel computing. - Jincheng Xu; Wei Liu; Jin Wang; Linong Liu; Jianfeng Zhang (Comput. Geosci., 2018)

A Deep Investigation into fastText. - Jincheng Xu; Qingfeng Du (HPCC/SmartCity/DSS, 2019)

On Representing and Eliciting Resilience Requirements of Microservice Architecture Systems. - Kanglin Yin; Qingfeng Du; Wei Wang; Juan Qiu; Jincheng Xu (CoRR, 2019)

Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning. - Tianhang Zhang; Qingfeng Du; Jincheng Xu; Jiechu Li; Xiaojun Li (APSEC, 2020)

An Improved Translation-Based Method for Knowledge Graph Representation. - Jincheng Xu; Yunsheng Ge; Zhengxia Wu (EBIMCS, 2020)

On the Interpretation of Convolutional Neural Networks for Text Classification. - Jincheng Xu; Qingfeng Du (ECAI, 2020)

Task Offloading Based on Edge Computing Considering Overhead and Load Balancing in Industrial Internet of Things. - Jincheng Xu; Bo Yang 006; Cailian Chen (INDIN, 2020)

Document-Improved Hierarchical Modular Attention for Event Detection. - Yiwei Ni; Qingfeng Du; Jincheng Xu (KSEM (2), 2020)

Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT Slices. - Shu Zhang 001; Jincheng Xu; Yu-Chun Chen; Jiechao Ma; Zihao Li; Yizhou Wang 001; Yizhou Yu (MICCAI (4), 2020)

TextTricker: Loss-based and gradient-based adversarial attacks on text classification models. - Jincheng Xu; Qingfeng Du (Eng. Appl. Artif. Intell., 2020)

Adversarial attacks on text classification models using layer-wise relevance propagation. - Jincheng Xu; Qingfeng Du (Int. J. Intell. Syst., 2020)

Learning neural networks for text classification by exploiting label relations. - Jincheng Xu; Qingfeng Du (Multim. Tools Appl., 2020)

Learning transferable features in meta-learning for few-shot text classification. - Jincheng Xu; Qingfeng Du (Pattern Recognit. Lett., 2020)

A Requirement-based Regression Test Selection Technique in Behavior-Driven Development. - Jincheng Xu; Qingfeng Du; Xiaojun Li (COMPSAC, 2021)

Log-Based Anomaly Detection with Multi-Head Scaled Dot-Product Attention Mechanism. - Qingfeng Du; Liang Zhao; Jincheng Xu; Yongqi Han 001; Shuangli Zhang (DEXA (1), 2021)

Model-Agnostic Local Explanations with Genetic Algorithms for Text Classification. - Qingfeng Du; Jincheng Xu (SEKE, 2021)

Towards a Better Understanding of Gradient-Based Explanatory Methods in NLP. - Qingfeng Du; Jincheng Xu (SEKE, 2021)

Joint Task Offloading and Resource Allocation for Multihop Industrial Internet of Things. - Jincheng Xu; Bo Yang 006; Yuxiang Liu; Cailian Chen; Xinping Guan (IEEE Internet Things J., 2022)

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. - Jiawei Ma; Yulei Niu; Jincheng Xu; Shiyuan Huang; Guangxing Han; Shih-Fu Chang (CVPR, 2023)

LWS: A framework for log-based workload simulation in session-based SUT. - Yongqi Han 001; Qingfeng Du; Jincheng Xu; Shengjie Zhao; Zhekang Chen; Li Cao; Kanglin Yin; Dan Pei (J. Syst. Softw., 2023)

Finding What Users Look for by Attribute-Aware Personalized Item Comparison in Relevant Recommendation. - Rui Ma; Dike Sun; Jincheng Xu; Jingsong Yuan; Jiandong Zhang (WWW (Companion Volume), 2024)

Time-Lapse One-Step Least-Squares Migration. - Qiancheng Liu; Ling Chen; Jincheng Xu (IEEE Geosci. Remote. Sens. Lett., 2024)

Hessian-Assisted Iterative Self-Training Learning for Seismic Migration. - Chuang Li 003; Bingbing Wu; Zhaoqi Gao; Wei Zhang 212; Feipeng Li; Jincheng Xu; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Automatic Estimation of Fresnel Zones in Migrated Dip-Angle Gathers Using Semantic Segmentation Model. - Feng Zhu; Jincheng Xu; Zhengwei Li; Kai Yang; Jianfeng Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Microseismic Event Location Using Migration-Based Stacking With Effective Parameters' Optimization. - Jincheng Xu; Tian Qiu; Zhiyi Zeng; Feng Zhu; Peng Han 002; Wei Zhang (IEEE Trans. Geosci. Remote. Sens., 2025)

Extracting Fresnel Zones From Migrated Dip-Angle Gathers Using Multitask Learning for 3-D High SNR Imaging. - Feng Zhu; Jianfeng Zhang; Jincheng Xu; Zhengwei Li; Kai Yang (IEEE Trans. Geosci. Remote. Sens., 2025)