A Study on Using Two-Phase Conditional Random Fields for Query Interface Segmentation. - Yongquan Dong; Xiangjun Zhao; Gongjie Zhang (WISM (2), 2011)

Constrained multi-objective test data generation based on set evolution. - Xiangjuan Yao; Dunwei Gong; Gongjie Zhang (IET Softw., 2015)

Design of arbitrary waveform generator based on FPGA and Wi-Fi for miniature mass spectrometer. - Dayu Li; Gongjie Zhang; Haoqiang Yan; Xunshi He (CISP-BMEI, 2017)

Mutant reduction based on dominance relation for weak mutation testing. - Dunwei Gong; Gongjie Zhang; Xiangjuan Yao; Fanlin Meng (Inf. Softw. Technol., 2017)

An Empirical Study on the Effectiveness of Feature Selection for Cross-Project Defect Prediction. - Qiao Yu; Junyan Qian; Shujuan Jiang; Zhenhua Wu; Gongjie Zhang (IEEE Access, 2019)

Mutant Selecting According to the Nondominated Original Statements. - Gongjie Zhang; Chunli Xie; Yongquan Dong; Qiao Yu (Sci. Program., 2019)

CAD-Net: A Context-Aware Detection Network for Objects in Remote Sensing Imagery. - Gongjie Zhang; Shijian Lu; Wei Zhang 021 (IEEE Trans. Geosci. Remote. Sens., 2019)

Cascade EF-GAN: Progressive Facial Expression Editing With Local Focuses. - Rongliang Wu; Gongjie Zhang; Shijian Lu; Tao Chen 003 (CVPR, 2020)

Testing Method for Software With Randomness Using Genetic Algorithm. - Xiangjuan Yao; Dunwei Gong; Bin Li; Xiangying Dang; Gongjie Zhang (IEEE Access, 2020)

Process metrics for software defect prediction in object-oriented programs. - Qiao Yu; Shujuan Jiang; Junyan Qian; Lili Bo; Li Jiang; Gongjie Zhang (IET Softw., 2020)

Unbalanced Feature Transport for Exemplar-Based Image Translation. - Fangneng Zhan; Yingchen Yu; Kaiwen Cui; Gongjie Zhang; Shijian Lu; Jianxiong Pan; Changgong Zhang; Feiying Ma; Xuansong Xie; Chunyan Miao (CVPR, 2021)

Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. - Zhipeng Luo; Zhongang Cai; Changqing Zhou; Gongjie Zhang; Haiyu Zhao; Shuai Yi; Shijian Lu; Hongsheng Li 001; Shanghang Zhang; Ziwei Liu 002 (ICCV, 2021)

Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection. - Gongjie Zhang; Kaiwen Cui; Tzu-Yi Hung; Shijian Lu (WACV, 2021)

PNPDet: Efficient Few-shot Detection without Forgetting via Plug-and-Play Sub-networks. - Gongjie Zhang; Kaiwen Cui; Rongliang Wu; Shijian Lu; Yonghong Tian 001 (WACV, 2021)

Meta-DETR: Image-Level Few-Shot Object Detection with Inter-Class Correlation Exploitation. - Gongjie Zhang; Zhipeng Luo; Kaiwen Cui; Shijian Lu (CoRR, 2021)

DA-DETR: Domain Adaptive Detection Transformer by Hybrid Attention. - Jingyi Zhang 005; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Shijian Lu (CoRR, 2021)

FBC-GAN: Diverse and Flexible Image Synthesis via Foreground-Background Composition. - Kaiwen Cui; Gongjie Zhang; Fangneng Zhan; Jiaxing Huang 001; Shijian Lu (CoRR, 2021)

GenCo: Generative Co-training on Data-Limited Image Generation. - Kaiwen Cui; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Fangneng Zhan; Shijian Lu (CoRR, 2021)

GenCo: Generative Co-training for Generative Adversarial Networks with Limited Data. - Kaiwen Cui; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Fangneng Zhan; Shijian Lu (AAAI, 2022)

Accelerating DETR Convergence via Semantic-Aligned Matching. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Kaiwen Cui; Shijian Lu (CVPR, 2022)

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Jiaxing Huang 001; Kaiwen Cui; Shijian Lu; Eric P. Xing (CoRR, 2022)

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors. - Gongjie Zhang; Zhipeng Luo; Yingchen Yu; Zichen Tian; Jingyi Zhang 005; Shijian Lu (CoRR, 2022)

DETR4D: Direct Multi-View 3D Object Detection with Sparse Attention. - Zhipeng Luo; Changqing Zhou; Gongjie Zhang; Shijian Lu (CoRR, 2022)

Orderly Generation of Test Data via Sorting Mutant Branches Based on Their Dominance Degrees for Weak Mutation Testing. - Xiangjuan Yao; Gongjie Zhang; Feng Pan 008; Dunwei Gong; Changqing Wei (IEEE Trans. Software Eng., 2022)

Object detection with deep neural networks under constrained scenarios - Gongjie Zhang (2022)

DA-DETR: Domain Adaptive Detection Transformer with Information Fusion. - Jingyi Zhang 005; Jiaxing Huang 001; Zhipeng Luo; Gongjie Zhang; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2023)

Towards Efficient Use of Multi-Scale Features in Transformer-Based Object Detectors. - Gongjie Zhang; Zhipeng Luo; Zichen Tian; Jingyi Zhang 005; Xiaoqin Zhang 002; Shijian Lu (CVPR, 2023)

Online Map Vectorization for Autonomous Driving: A Rasterization Perspective. - Gongjie Zhang; Jiahao Lin; Shuang Wu 002; Yilin Song; Zhipeng Luo; Yang Xue; Shijian Lu; Zuoguan Wang (NeurIPS, 2023)

TransPillars: Coarse-to-Fine Aggregation for Multi-Frame 3D Object Detection. - Zhipeng Luo; Gongjie Zhang; Changqing Zhou; Tianrui Liu 002; Shijian Lu; Liang Pan (WACV, 2023)

Meta-DETR: Image-Level Few-Shot Detection With Inter-Class Correlation Exploitation. - Gongjie Zhang; Zhipeng Luo; Kaiwen Cui; Shijian Lu; Eric P. Xing (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Modeling Continuous Motion for 3D Point Cloud Object Tracking. - Zhipeng Luo; Gongjie Zhang; Changqing Zhou; Zhonghua Wu; Qingyi Tao; Lewei Lu; Shijian Lu (AAAI, 2024)

Cross-Domain Few-Shot Segmentation via Iterative Support-Query Correspondence Mining. - Jiahao Nie 002; Yun Xing 001; Gongjie Zhang; Pei Yan; Aoran Xiao; Yap-Peng Tan; Alex C. Kot; Shijian Lu (CVPR, 2024)

Efficient MAE towards Large-Scale Vision Transformers. - Han Qiu 008; Gongjie Zhang; Jiaxing Huang 001; Peng Gao 007; Zhang Wei; Shijian Lu (WACV, 2024)

MMRel: A Relation Understanding Dataset and Benchmark in the MLLM Era. - Jiahao Nie 002; Gongjie Zhang; Wenbin An; Yap-Peng Tan; Alex C. Kot; Shijian Lu (CoRR, 2024)

Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion. - Gongjie Zhang; Zhipeng Luo; Jiaxing Huang 001; Shijian Lu; Eric P. Xing (Int. J. Comput. Vis., 2024)

Exploring Point-BEV Fusion for 3D Point Cloud Object Tracking With Transformer. - Zhipeng Luo; Changqing Zhou; Liang Pan; Gongjie Zhang; Tianrui Liu 002; Yueru Luo; Haiyu Zhao; Ziwei Liu 002; Shijian Lu (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Towards Scalable Spatial Intelligence via 2D-to-3D Data Lifting. - Xingyu Miao; Haoran Duan 001; Quanhao Qian; Jiuniu Wang; Yang Long 001; Ling Shao 001; Deli Zhao; Ran Xu; Gongjie Zhang (CoRR, 2025)