A Flexible Infrastructure for Gathering XML Statistics and Estimating Query Cardinality. - Juliana Freire; Maya Ramanath; Lingzhi Zhang (ICDE, 2004)

IMAX: The Big Picture of Dynamic XML Statistics. - Maya Ramanath; Lingzhi Zhang; Juliana Freire; Jayant R. Haritsa (ICDE, 2005)

A novel quantum-behaved particle swarm optimization with random selection for large scale optimization. - Wei Fang 001; Lingzhi Zhang; Jianhong Zhou; Xiaojun Wu 001; Jun Sun 008 (CEC, 2017)

An Improved OFDM Timing Synchronization Algorithm with Variable Length of Cyclic Prefix. - Yanping Li; Qichao Song; Hui Gao; Dongyan Wu; Lingzhi Zhang (CSPS, 2017)

Neural Embedding for Physical Manipulations. - Lingzhi Zhang; Andong Cao; Rui Li; Jianbo Shi (CoRR, 2019)

A Multiobjective Evolutionary Algorithm Based on Coordinate Transformation. - Wei Fang 001; Lingzhi Zhang; Shengxiang Yang; Jun Sun 008; Xiaojun Wu 001 (IEEE Trans. Cybern., 2019)

Nested Scale-Editing for Conditional Image Synthesis. - Lingzhi Zhang; Jiancong Wang; Yinshuang Xu; Jie Min; Tarmily Wen; James C. Gee; Jianbo Shi (CVPR, 2020)

Toward Continuous-Time Representations of Human Motion. - Weiyu Du; Oleh Rybkin; Lingzhi Zhang; Jianbo Shi (ECCV Workshops (6), 2020)

Learning Object Placement by Inpainting for Compositional Data Augmentation. - Lingzhi Zhang; Tarmily Wen; Jie Min; Jiancong Wang; David Han; Jianbo Shi (ECCV (13), 2020)

Image Compression with Laplacian Guided Scale Space Inpainting. - Lingzhi Zhang; Pujika Kumar; Manuj Sabharwal; Andy Kuzma; Jianbo Shi (ICIP, 2020)

Deep Image Blending. - Lingzhi Zhang; Tarmily Wen; Jianbo Shi (WACV, 2020)

Multimodal Image Outpainting with Regularized Normalized Diversification. - Lingzhi Zhang; Jiancong Wang; Jianbo Shi (WACV, 2020)

Speech Emotion Recognition Model with Time-Scale-Invariance MFCCs as Input. - Xiaohan Xie; Jiaqi Lou; Lingzhi Zhang (IWCMC, 2021)

Merged Biogeography-Based Optimization Algorithm for Color Image Segmentation. - Lingzhi Zhang; Xiaohan Xie (IWCMC, 2021)

Dual-Rate Adaptive Optimal Tracking Control for Dense Medium Separation Process Using Neural Networks. - Wei Dai 004; Lingzhi Zhang; Jun Fu 001; Tianyou Chai; Xiaoping Ma (IEEE Trans. Neural Networks Learn. Syst., 2021)

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-curation. - Lingzhi Zhang; Connelly Barnes; Kevin Wampler; Sohrab Amirghodsi; Eli Shechtman; Zhe Lin 001; Jianbo Shi (ECCV (17), 2022)

Perceptual Artifacts Localization for Inpainting. - Lingzhi Zhang; Yuqian Zhou; Connelly Barnes; Sohrab Amirghodsi; Zhe Lin 001; Eli Shechtman; Jianbo Shi (ECCV (29), 2022)

Fine-Grained Egocentric Hand-Object Segmentation: Dataset, Model, and Applications. - Lingzhi Zhang; Shenghao Zhou; Simon Stent; Jianbo Shi (ECCV (29), 2022)

Inpaint2Learn: A Self-Supervised Framework for Affordance Learning. - Lingzhi Zhang; Weiyu Du; Shenghao Zhou; Jiancong Wang; Jianbo Shi (WACV, 2022)

Inpainting at Modern Camera Resolution by Guided PatchMatch with Auto-Curation. - Lingzhi Zhang; Connelly Barnes; Kevin Wampler; Sohrab Amirghodsi; Eli Shechtman; Zhe Lin; Jianbo Shi (CoRR, 2022)

Multi-Rate Layered Operational Optimal Control for Large-Scale Industrial Processes. - Wei Dai 004; Tongyun Li; Lingzhi Zhang; Yao Jia 001; Huaicheng Yan 001 (IEEE Trans. Ind. Informatics, 2022)

Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering. - Zhishan Li; Wenqing Xie; Lingzhi Zhang; Shan Lu 009; Lei Xie 007; Hongye Su; Weidong Du; Weifeng Hou (IEEE Trans. Instrum. Meas., 2022)

The Research on the Adaptability of Distribution Communication Network Business and Communication Technology Based on Source Network Load Storage. - Lingzhi Zhang; Wanzhen Li; Zijian Meng; Rining Wang; Dan Wang; Chunling Zhang; Jinshuai Wang (EITCE, 2023)

Perceptual Artifacts Localization for Image Synthesis Tasks. - Lingzhi Zhang; Zhengjie Xu; Connelly Barnes; Yuqian Zhou; Qing Liu 017; He Zhang 004; Sohrab Amirghodsi; Zhe Lin 001; Eli Shechtman; Jianbo Shi (ICCV, 2023)

Kylin 1.0: An ab-initio density matrix renormalization group quantum chemistry program. - Zhaoxuan Xie; Yinxuan Song; Fangwen Peng; Jianhao Li; Yifan Cheng; Lingzhi Zhang; Yingjin Ma; Yingqi Tian; Zhen Luo; Haibo Ma (J. Comput. Chem., 2023)

Performance Evaluation of CentiSpace Navigation Augmentation Experiment Satellites. - Lin Chen; Feiren Lv; Qiangwen Yang; Tulin Xiong; Yuqi Liu; Yi Yang; Hongchen Pan; Suisheng Wang; Min Liu; Renlun He; Duo Zheng; Lingzhi Zhang; et al. (Sensors, 2023)

Brush2Prompt: Contextual Prompt Generator for Object Inpainting. - Mang Tik Chiu; Yuqian Zhou; Lingzhi Zhang; Zhe Lin; Connelly Barnes; Sohrab Amirghodsi; Eli Shechtman; Humphrey Shi (CVPR, 2024)

Amodal Completion via Progressive Mixed Context Diffusion. - Katherine Xu; Lingzhi Zhang; Jianbo Shi (CVPR, 2024)

An Comprehensive Overview of Electric Power Wireless Private Network: System Design, Key Technologies, and Future Directions. - Jie Bai; Xunwei Zhao; Zhigang Wang; Dan Wang; Lingzhi Zhang; Chunling Zhang; Qing Wu (IEEE Access, 2024)

Modeling Multi-Temporal Correlation of PV Stations Output via Improved Nonparametric Disaggregation Method in Power System Reliability Evaluation. - Fei Fan; Xiangjie Zhou; Lingzhi Zhang; Zhenjiang He; Weixiang Xu; Yuan Zhao (IEEE Access, 2024)

Data-driven auto-tuning strategy for RTO-MPC based on Bayesian optimization. - Lingzhi Zhang; Lei Xie 007; Hongye Su; Jinfeng Liu 001 (Comput. Chem. Eng., 2024)

Detecting Image Attribution for Text-to-Image Diffusion Models in RGB and Beyond. - Katherine Xu; Lingzhi Zhang; Jianbo Shi (CoRR, 2024)

Detecting Human Artifacts from Text-to-Image Models. - Kaihong Wang; Lingzhi Zhang; Jianming Zhang (CoRR, 2024)

FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity. - Hang Hua; Qing Liu 017; Lingzhi Zhang; Jing Shi 005; Zhifei Zhang; Yilin Wang 002; Jianming Zhang 001; Jiebo Luo 001 (CoRR, 2024)

Operational Optimal Tracking Control for Industrial Multirate Systems Subject to Unknown Disturbances. - Lingzhi Zhang; Lei Xie 007; Wei Dai 004; Shan Lu 009; Hongye Su (IEEE Trans. Syst. Man Cybern. Syst., 2024)

Event-Triggered Constrained Optimal Control for Organic Rankine Cycle Systems via Safe Reinforcement Learning. - Lingzhi Zhang; Runze Lin; Lei Xie 007; Wei Dai 004; Hongye Su (IEEE Trans. Neural Networks Learn. Syst., 2024)

Cautious Next Token Prediction. - Yizhou Wang 006; Lingzhi Zhang; Yue Bai; Mang Tik Chiu; Zhengmian Hu; Mingyuan Zhang; Qihua Dong; Yu Yin 001; Sohrab Amirghodsi; Yun Fu 001 (ACL (Findings), 2025)

FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity. - Hang Hua; Qing Liu 017; Lingzhi Zhang; Jing Shi 005; Soo Ye Kim; Zhifei Zhang; Yilin Wang 002; Jianming Zhang 001; Zhe Lin 001; Jiebo Luo 001 (CVPR, 2025)

Layer- and Timestep-Adaptive Differentiable Token Compression Ratios for Efficient Diffusion Transformers. - Haoran You; Connelly Barnes; Yuqian Zhou; Yan Kang; Zhenbang Du; Wei Zhou; Lingzhi Zhang; Yotam Nitzan; Xiaoyang Liu; Zhe Lin; Eli Shechtman; Sohrab Amirghodsi; et al. (CVPR, 2025)

Good Seed Makes a Good Crop: Discovering Secret Seeds in Text-to-Image Diffusion Models. - Katherine Xu; Lingzhi Zhang; Jianbo Shi (WACV, 2025)

Detecting Origin Attribution for Text-to-Image Diffusion Models. - Katherine Xu; Lingzhi Zhang; Jianbo Shi (WACV, 2025)

Optimal Control for Constrained Discrete-Time Nonlinear Systems Based on Safe Reinforcement Learning. - Lingzhi Zhang; Lei Xie 007; Yi Jiang 007; Zhishan Li; Xueqin Amy Liu; Hongye Su (IEEE Trans. Neural Networks Learn. Syst., 2025)

Refer to Anything with Vision-Language Prompts. - Shengcao Cao; Zijun Wei; Jason Kuen; Kangning Liu; Lingzhi Zhang; Jiuxiang Gu; Hyunjoon Jung; Liang-Yan Gui; Yu-Xiong Wang (CoRR, 2025)