A highly integrated dual-band triple-mode transmit IC for cellular CDMA2000 applications. - Sudhir Aggarwal; Anton Daanen; Matthias Locher; Alan L. Landesman; Marc Judson; Fabien Garrigues; Mark Bracey; Haiming Xu; Olivier Charlon; Minzhan Gao (IEEE J. Solid State Circuits, 2003)

A Summer Precipitation FNN Multi-step Prediction Model Based on SSA-MGF. - Yonghua Li; Haiming Xu; Yanghua Gao; Suoquan Zhou; Qiang Li (CSO (2), 2009)

Monolithic buried heterostructure DFB laser array for integrated optical interconnects and WDM systems. - Jingsi Li; Song Tang 002; Jeffery Wang; Yue Liu; Haiming Xu; Qi Tang; Xiangfei Chen; Julian Cheng (OFC, 2014)

High efficiency and SMSR distributed feedback laser array integrated with passive grating reflector based on reconstruction-equivalent-chirp technique. - Yunshan Zhang; Jilin Zheng; Yue-chun Shi; Shengping Liu; Wenting Wang; Jun Lu; Haiming Xu; Qi Tang; Xiangfei Chen (OFC, 2015)

Improved rat genome gene prediction by integration of ESTs with RNA-Seq information. - Liping Li; Enguo Chen; Chun Yang; Jun Zhu; Pushkala Jayaraman; Jeff de Pons; Catherine C. Kaczorowski; Howard J. Jacob; Andrew S. Greene; Matthew R. Hodges; Allen W. Cowley Jr.; Mingyu Liang; et al. (Bioinform., 2015)

Solving Indefinite Kernel Support Vector Machine with Difference of Convex Functions Programming. - Haiming Xu; Hui Xue 002; Xiaohong Chen 001; Yunyun Wang (AAAI, 2017)

A primal perspective for indefinite kernel SVM problem. - Hui Xue 002; Haiming Xu; Xiaohong Chen 001; Yunyun Wang (Frontiers Comput. Sci., 2020)

Multiple indefinite kernel learning for feature selection. - Hui Xue 002; Yu Song; Haiming Xu (Knowl. Based Syst., 2020)

Semi-supervised Learning via Conditional Rotation Angle Estimation. - Hai-Ming Xu; Lingqiao Liu; Dong Gong (DICTA, 2021)

Research on Defect Intelligent Identification System Based on Cloud-Fog-Edge Cooperation for UAV Electric Power Inspection. - Wenye Liu; Haiming Xu; Kegui Guo; Nianguo Liu; Xuming Tang; Jianghui Meng; Cifu Zhan; Luyao Li; Pin Lu (ICBDS, 2021)

Dual Decision Improves Open-Set Panoptic Segmentation. - Haiming Xu; Hao Chen 041; Lingqiao Liu; Yufei Yin (BMVC, 2022)

Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-boosting Attention Mechanism. - Yangyang Shu; Baosheng Yu; Haiming Xu; Lingqiao Liu (ECCV (25), 2022)

Progressive Class Semantic Matching for Semi-supervised Text Classification. - Hai-Ming Xu; Lingqiao Liu; Ehsan Abbasnejad (NAACL-HLT, 2022)

Semi-supervised Semantic Segmentation with Prototype-based Consistency Regularization. - Haiming Xu; Lingqiao Liu; Qiuchen Bian; Zhen Yang (NeurIPS, 2022)

Two-stage Decision Improves Open-Set Panoptic Segmentation. - Hai-Ming Xu; Hao Chen 041; Lingqiao Liu; Yufei Yin (CoRR, 2022)

Towards Domain Generalization for Multi-view 3D Object Detection in Bird-Eye-View. - Shuo Wang; Xinhai Zhao; Hai-Ming Xu; Zehui Chen; Dameng Yu; Jiahao Chang; Zhen Yang; Feng Zhao 004 (CVPR, 2023)

Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Jinan Zou; Javen Shi (DICTA, 2023)

DETRDistill: A Universal Knowledge Distillation Framework for DETR-families. - Jiahao Chang; Shuo Wang; Hai-Ming Xu; Zehui Chen; Chenhongyi Yang; Feng Zhao 004 (ICCV, 2023)

ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation. - Pin Tang; Hai-Ming Xu; Chao Ma 004 (ICCV, 2023)

Progressive Feature Adjustment for Semi-supervised Learning from Pretrained Models. - Hai-Ming Xu; Lingqiao Liu; Hao Chen 041; Ehsan Abbasnejad; Rafael Felix (ICCV (Workshops), 2023)

WMDS.net: a network control framework for identifying key players in transcriptome programs. - Xiang Cheng; Md Amanullah; Weigang Liu; Yi Liu; Xiaoqing Pan; Honghe Zhang; Haiming Xu; Pengyuan Liu 003; Yan Lu (Bioinform., 2023)

Biases' Characteristics Assessment of the HY-2B Scanning Microwave Radiometer (SMR)'s Observations. - Zeting Li; Wei Han; Haiming Xu; Hejun Xie; Juhong Zou (Remote. Sens., 2023)

Revisiting Open-Set Panoptic Segmentation. - Yufei Yin; Hao Chen 041; Wengang Zhou 001; Jiajun Deng; Haiming Xu; Houqiang Li (AAAI, 2024)

Unlocking the Potential of Pre-Trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors. - Ziqin Zhou; Hai-Ming Xu; Yangyang Shu; Lingqiao Liu (CVPR, 2024)

Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization. - Avraham Chapman; Haiming Xu; Lingqiao Liu (DICTA, 2024)

Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning. - Qianqian Wang 001; Meiling Liu; Wei Feng 010; Mengping Jiang; Haiming Xu; Quanxue Gao (IJCAI, 2024)

Single-cell RNA-seq data analysis reveals functionally relevant biomarkers of early brain development and their regulatory footprints in human embryonic stem cells (hESCs). - Md Alamin; Most Humaira Sultana; Isaac Adeyemi Babarinde; A. K. M. Azad; Mohammad Ali Moni; Haiming Xu (Briefings Bioinform., 2024)

mmGEBLUP: an advanced genomic prediction scheme for genetic improvement of complex traits in crops through integrative analysis of major genes, polygenes, and genotype-environment interactions. - Qi-Xin Zhang; Tianneng Zhu; Feng Lin; Dunhuang Fang; Xuejun Chen; Xiangyang Lou; Zhijun Tong; Bingguang Xiao; Hai-Ming Xu (Briefings Bioinform., 2024)

MuseBarControl: Enhancing Fine-Grained Control in Symbolic Music Generation through Pre-Training and Counterfactual Loss. - Yangyang Shu; Haiming Xu; Ziqin Zhou; Anton van den Hengel; Lingqiao Liu (CoRR, 2024)

Deep Multi-modal Graph Clustering via Graph Transformer Network. - Qianqian Wang 001; Haiming Xu; Zihao Zhang; Wei Feng 010; Quanxue Gao (AAAI, 2025)

Attention-Driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models Without Fine-Tuning. - Hai-Ming Xu; Qi Chen 014; Lei Wang 001; Lingqiao Liu (AAAI, 2025)

Deep Fair Multi-View Clustering with Attention KAN. - Haiming Xu; Qianqian Wang 001; Boyue Wang; Quanxue Gao (CVPR, 2025)

A Simple-but-Effective Baseline for Training-Free Class-Agnostic Counting. - Yuhao Lin; Haiming Xu; Lingqiao Liu; Javen Qinfeng Shi (WACV, 2025)

EAGA-Net: a novel simulation-based grasping detection dataset and network with efficient adaptability of gripper attribute. - Yibang Zhou; Yuhao Ouyang; Shijun Liu; Haiming Xu; Xiangkai Li; Jun Nan; Xiancheng Ji; Jianjun Yi (Adv. Eng. Informatics, 2025)

Lamb Wave Visualization of Microcrack Growth Based on Acoustic Nonlinearity Aware-Dictionary and Gradient Projection Sparse Representation. - Haiming Xu; Lishuai Liu; Jiachen Zhou; Siyuan Peng; Xuan Li; Zheng Hu; Yanxun Xiang; Fu-Zhen Xuan (IEEE Trans. Ind. Informatics, 2025)

Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents. - Yuhan Guo; Cong Guo; Aiwen Sun; Hongliang He; Xinyu Yang; Yue Lu; Yingji Zhang; Xuntao Guo; Dong Zhang; Jianzhuang Liu; Jiang Duan; Yijia Xiao; et al. (CoRR, 2025)

A Metric for MLLM Alignment in Large-scale Recommendation. - Yubin Zhang; Yanhua Huang; Haiming Xu; Mingliang Qi 003; Chang Wang; Jiarui Jin; Xiangyuan Ren; Xiaodan Wang; Ruiwen Xu (CoRR, 2025)