A Smart High Accuracy Silicon Piezoresistive Pressure Sensor Temperature Compensation System. - Guanwu Zhou; Yulong Zhao; Fangfang Guo; Wenju Xu (Sensors, 2014)

Direct Visual-Inertial Odometry and Mapping for Unmanned Vehicle. - Wenju Xu; Dongkyu Choi (ISVC (2), 2016)

Iterative Constructions of Orthogonal Arrays of Strength t and Orthogonal Partitions. - Shanqi Pang; Ying Wang; Jiao Du; Wenju Xu (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2017)

Direct visual-inertial odometry with semi-dense mapping. - Wenju Xu; Dongkyu Choi; Guanghui Wang 001 (Comput. Electr. Eng., 2018)

Attack and Improvement on a Symmetric Fully Homomorphic Encryption Scheme. - Wenju Xu; Yu Zhan; Zheng Wang; Baocang Wang; Yuan Ping (IEEE Access, 2019)

Stacked Wasserstein Autoencoder. - Wenju Xu; Shawn Shahriar Keshmiri; Guanghui Wang 001 (Neurocomputing, 2019)

Toward learning a unified many-to-many mapping for diverse image translation. - Wenju Xu; Shawn Shahriar Keshmiri; Guanghui Wang 001 (Pattern Recognit., 2019)

Adversarially Approximated Autoencoder for Image Generation and Manipulation. - Wenju Xu; Shawn Shahriar Keshmiri; Guanghui Wang 001 (IEEE Trans. Multim., 2019)

FX-GAN: Self-Supervised GAN Learning via Feature Exchange. - Rui Huang; Wenju Xu; Teng-Yok Lee; Anoop Cherian; Ye Wang 001; Tim K. Marks (WACV, 2020)

Towards Learning Affine-Invariant Representations via Data-Efficient CNNs. - Wenju Xu; Guanghui Wang 001; Alan Sullivan; Ziming Zhang (WACV, 2020)

Adaptively Denoising Proposal Collection for Weakly Supervised Object Localization. - Wenju Xu; Yuanwei Wu; Wenchi Ma; Guanghui Wang 001 (Neural Process. Lett., 2020)

DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. - Wenju Xu; Chengjiang Long; Ruisheng Wang 001; Guanghui Wang 001 (ICCV, 2021)

Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image Captioning. - Xinzhi Dong; Chengjiang Long; Wenju Xu; Chunxia Xiao (ACM Multimedia, 2021)

Efficient Private Information Retrieval Protocol with Homomorphically Computing Univariate Polynomials. - Wenju Xu; Baocang Wang; Rongxing Lu; Quanbo Qu; Yange Chen; Yupu Hu (Secur. Commun. Networks, 2021)

Dual-Flattening Transformers through Decomposed Row and Column Queries for Semantic Segmentation. - Ying Wang 051; Chiuman Ho; Wenju Xu; Ziwei Xuan; Xudong Liu; Guo-Jun Qi (CoRR, 2022)

Explicitly Increasing Input Information Density for Vision Transformers on Small Datasets. - Xiangyu Chen 008; Ying Qin; Wenju Xu; Andrés M. Bur; Cuncong Zhong; Guanghui Wang 001 (CoRR, 2022)

Toward practical privacy-preserving linear regression. - Wenju Xu; Baocang Wang; Jiasen Liu; Yange Chen; Pu Duan; Zhiyong Hong (Inf. Sci., 2022)

Updatable privacy-preserving itK-nearest neighbor query in location-based s-ervice. - Songyang Wu; Wenju Xu; Zhiyong Hong; Pu Duan; Benyu Zhang; Yupu Hu; Baocang Wang (Peer-to-Peer Netw. Appl., 2022)

A Domain Gap Aware Generative Adversarial Network for Multi-Domain Image Translation. - Wenju Xu; Guanghui Wang 001 (IEEE Trans. Image Process., 2022)

Privacy-preserving association rule mining based on electronic medical system. - Wenju Xu; Qingqing Zhao; Yu Zhan; Baocang Wang; Yupu Hu (Wirel. Networks, 2022)

Learning Dynamic Style Kernels for Artistic Style Transfer. - Wenju Xu; Chengjiang Long; Yongwei Nie (CVPR, 2023)

Feature Representation Learning with Adaptive Displacement Generation and Transformer Fusion for Micro-Expression Recognition. - Zhijun Zhai; Jianhui Zhao 001; Chengjiang Long; Wenju Xu; Shuangjiang He; Huijuan Zhao (CVPR, 2023)

Multi-key Fully Homomorphic Encryption from Additive Homomorphism. - Wenju Xu; Baocang Wang; Yupu Hu; Pu Duan; Benyu Zhang; Momeng Liu (Comput. J., 2023)

Modified Multi-Key Fully Homomorphic Encryption Scheme in the Plain Model. - Wenju Xu; Baocang Wang; Quanbo Qu; Tanping Zhou; Pu Duan (Comput. J., 2023)

HS-Surf: A Novel High-Frequency Surface Shell Radiance Field to Improve Large-Scale Scene Rendering. - Jiongming Qin; Fei Luo 004; Tuo Cao; Wenju Xu; Chunxia Xiao (ACM Multimedia, 2024)

HighlightRemover: Spatially Valid Pixel Learning for Image Specular Highlight Removal. - Ling Zhang 017; Yidong Ma; Zhi Jiang; Weilei He; Zhongyun Bao; Gang Fu; Wenju Xu; Chunxia Xiao (ACM Multimedia, 2024)

Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models. - Yilun Jin; Zheng Li 018; Chenwei Zhang; Tianyu Cao 001; Yifan Gao 001; Pratik Jayarao; Mao Li; Xin Liu 039; Ritesh Sarkhel; Xianfeng Tang; Haodong Wang; Zhengyang Wang; et al. (NeurIPS, 2024)

Disentangled Representation Learning for Controllable Person Image Generation. - Wenju Xu; Chengjiang Long; Yongwei Nie; Guanghui Wang 001 (IEEE Trans. Multim., 2024)

Verifiable privacy-preserving cox regression from multi-key fully homomorphic encryption. - Wenju Xu; Xin Li; Yunxuan Su; Baocang Wang; Wei Zhao (Peer Peer Netw. Appl., 2024)

PatchMixing Masked Autoencoders for 3D Point Cloud Self-Supervised Learning. - Chengxing Lin; Wenju Xu; Jian Zhu 001; Yongwei Nie; Ruichu Cai; Xuemiao Xu (IEEE Trans. Circuits Syst. Video Technol., 2024)

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. - Weiqi Wang; Limeng Cui; Xin Liu; Sreyashi Nag; Wenju Xu; Chen Luo 003; Sheikh Muhammad Sarwar; Yang Li; Hansu Gu; Hui Liu; Changlong Yu; Jiaxin Bai; et al. (ACL (1), 2025)

Language Model Alignment for Conversational Shopping at Amazon. - Chen Luo 003; Dimitri Papadimitriou; Hariharan Muralidharan; Dhineshkumar Ramasubbu; Aakash Kolekar; Wenju Xu; Cong Xu; Anirudh Srinivasan; Mukesh Jain; Qi He 002 (SIGIR, 2025)

Depth-Wise Convolutions in Vision Transformers for efficient training on small datasets. - Tianxiao Zhang; Wenju Xu; Bo Luo; Guanghui Wang 001 (Neurocomputing, 2025)

Facial Highlight Removal With Cross-Context Attention and Texture Enhancement. - Hongsheng Zheng; Wenju Xu; Zhenyu Wang; Xiao Lu 002; Chunxia Xiao (IEEE Trans. Circuits Syst. Video Technol., 2025)

EcomScriptBench: A Multi-task Benchmark for E-commerce Script Planning via Step-wise Intention-Driven Product Association. - Weiqi Wang 001; Limeng Cui; Xin Liu; Sreyashi Nag; Wenju Xu; Chen Luo 003; Sheikh Muhammad Sarwar; Yang Li; Hansu Gu; Hui Liu; Changlong Yu; Jiaxin Bai; et al. (CoRR, 2025)

Domain Generalizable Portrait Style Transfer. - Xinbo Wang; Wenju Xu; Qing Zhang 006; Wei-Shi Zheng 001 (CoRR, 2025)

Pretrained Diffusion Models Are Inherently Skipped-Step Samplers. - Wenju Xu (CoRR, 2025)