| 2026 | ACL | Hebbian-Guided Bi-Directional Rank Adaptation for Parameter-Efficient Fine-Tuning. | Xing Zhao, Liu Yang, Xi-Le Zhao, Yueqi Yang, Tianqi Jiang |
| 2025 | ICAART | Robust Autocorrelation for Period Detection in Time Series. | Zhi Yang, Likun Hou, Xing Zhao |
| 2025 | IECON | Low-Chattering Sliding Mode Observers Based on Sinusoidal Saturation Function and Dynamic Gain Co-optimization for Sensorless Control of Robotic PMSMs. | Hao Chen, Zeyuan Gao, Linlong Peng, Xing Zhao, Saibo Wang, Yihua Hu |
| 2025 | IECON | Continuous Position Calculation Technique Based on the average velocity method for Vector-Control-based BLDCMs Used in Robotic Joints. | Chenguang Gong, Di Huan, Siyu Wang, Saibo Wang, Jingfeng Wang, Xing Zhao |
| 2025 | IECON | Noise-Free Sensorless Control of Robotic PMSMs Based on Variable Structure Speed Observer with Embedded Single-Waveform Injection Over Full-Speed Range. | Xinran Shi, Chao Gong, Hao Chen, Xing Zhao, Cheng Xue, Yihua Hu |
| 2025 | MMM | SCLSTE: Semi-supervised Contrastive Learning-Guided Scene Text Editing. | Min Yin, Liang Xie, Haoran Liang, Xing Zhao, Ben Chen, Ronghua Liang |
| 2024 | ICASSP | Structure-Aware in-Air Handwritten Text Recognition with Graph-Guided Cross-Modality Translator. | Yuyan Chen, Xing Zhao, Ji Gan, Jiaxu Leng, Yan Zhang, Xinbo Gao |
| 2023 | ICCV | Fine-grained Visible Watermark Removal. | Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang |
| 2023 | IECON | MPC-Based Coordination Control of Dual Direct-Drive Permanent Magnet Motors Used in Coal Mining Belt Conveyors. | Yaofei Han, Chao Gong, Shaofeng Chen, Zhixun Ma, Xing Zhao |
| 2022 | AAAI | RES: An Interpretable Replicability Estimation System for Research Publications. | Zhuoer Wang, Qizhang Feng, Mohinish Chatterjee, Xing Zhao, Yezi Liu, Yuening Li, Abhay Kumar Singh, Frank M. Shipman III, Xia Hu, James Caverlee |
| 2022 | BMVC | Visible Watermark Removal with Dynamic Kernel and Semantic-aware Propagation. | Xing Zhao, Li Niu, Liqing Zhang |
| 2022 | ECCV | Human-Centric Image Cropping with Partition-Aware and Content-Preserving Features. | Bo Zhang, Li Niu, Xing Zhao, Liqing Zhang |
| 2022 | IPEC | Research on football players' physical fitness score based on multi-level comprehensive evaluation model. | Fan Yang, Xing Zhao, Weihao Fu, Juguang Ren, Mingquan Xian |
| 2022 | SDM | A Non-sequential Approach to Deep User Interest Model for CTR Prediction. | Keke Zhao, Xing Zhao, Qi Cao, Linjian Mo |
| 2021 | AI | A Methodology for Calculating the Contribution of Exogenous Variables to ARIMAX Predictions. | Hao Wang, Raymond Yao, Likun Hou, Jie Zhao, Xing Zhao |
| 2021 | DSAA | ZipLine: An Optimized Algorithm for the Elastic Bulk Synchronous Parallel Model. | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2021 | IECON | Design and Analysis of a Ferrite-PM-Assisted Hybrid Reluctance Machine for Electric Vehicle Propulsion. | Weiyu Wang, Xing Zhao, Sigao Wang, Shuangxia Niu, Qingsong Wang |
| 2021 | KDD | Popularity Bias in Dynamic Recommendation. | Ziwei Zhu, Yun He, Xing Zhao, James Caverlee |
| 2021 | WWW | Rabbit Holes and Taste Distortion: Distribution-Aware Recommendation with Evolving Interests. | Xing Zhao, Ziwei Zhu, James Caverlee |
| 2021 | WSDM | Popularity-Opportunity Bias in Collaborative Filtering. | Ziwei Zhu, Yun He, Xing Zhao, Yin Zhang, Jianling Wang, James Caverlee |
| 2020 | ICDCS | Context-Aware Deep Model Compression for Edge Cloud Computing. | Lingdong Wang, Liyao Xiang, Jiayu Xu, Jiaju Chen, Xing Zhao, Dixi Yao, Xinbing Wang, Baochun Li |
| 2020 | WWW | Learning to Hash with Graph Neural Networks for Recommender Systems. | Qiaoyu Tan, Ninghao Liu, Xing Zhao, Hongxia Yang, Jingren Zhou, Xia Hu |
| 2020 | WWW | Addressing the Target Customer Distortion Problem in Recommender Systems. | Xing Zhao, Ziwei Zhu, Majid Alfifi, James Caverlee |
| 2020 | WSDM | Improving the Estimation of Tail Ratings in Recommender System with Multi-Latent Representations. | Xing Zhao, Ziwei Zhu, Yin Zhang, James Caverlee |
| 2019 | ICDCS | Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning. | Xing Zhao, Aijun An, Junfeng Liu, Bao Xin Chen |
| 2019 | ICDM | Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning. | Xing Zhao, Manos Papagelis, Aijun An, Bao Xin Chen, Junfeng Liu, Yonggang Hu |
| 2018 | APWEB | Research on Video Recommendation Algorithm Based on Knowledge Reasoning of Knowledge Graph. | Zhihong Xu, Xing Zhao, Yongfeng Dong, Wenjie Yan, Ziqi Yu |
| 2018 | ICECCS | SMI: Stack Management Interface. | Maria Spichkova, Jesse Bartlett, Ryan Howard, Adrian Seddon, Xing Zhao, Yuanqing Jiang |
| 2018 | RecSys | TrailMix: An Ensemble Recommender System for Playlist Curation and Continuation. | Xing Zhao, Qingquan Song, James Caverlee, Xia Hu |
| 2014 | IGARSS | Joint Adaboost and multifeature based ensemble for hyperspectral image classification. | Yushi Chen, Xing Zhao, Zhouhan Lin |
| 2013 | IGARSS | Riemannian manifold learning based k-nearest-neighbor for hyperspectral image classification. | Yushi Chen, Zhouhan Lin, Xing Zhao |
| 2013 | KDD | The scorecard solution to the author-paper identification challenge. | Xing Zhao |
| 2012 | DASFAA | Detection of High-Risk Zones and Potential Infected Neighbors from Infectious Disease Monitoring Data. | Biying Tan, Lei Duan, Chi Gou, Shuyang Huang, Yuhao Fang, Xing Zhao, Changjie Tang |
| 2011 | ICONIP | A Lightweight Ontology Learning Method for Chinese Government Documents. | Xing Zhao, Hai-Tao Zheng, Yong Jiang, Shu-Tao Xia |
| 2001 | ISCAS | SIMD architecture for job shop scheduling problem solving. | Kuan-Hung Chen, Shi-Chung Chang, Tzi-Dar Chiueh, Peter B. Luh, Xing Zhao |
| 1998 | ICRA | Lagrangian Relaxation Neural Networks for Job Shop Scheduling. | Peter B. Luh, Xing Zhao, Yajun Wang |
| 1991 | ICRA | The model simplification of open-loop arms and its application to closed-loop arms. | Xing Zhao |