Joint Frequency Offset and Channel Estimation Using Rao-Blackwellized Particle Filter for Uplink MIMO-OFDMA Systems. - Zheng Jiang 001; Zhongnian Li; Xin Zhang 001; Dacheng Yang (ICC, 2008)

Utility-based joint routing and scheduling in OFDMA cellular relay networks with traffic prioritization. - Jian Liang; Hui Yin; Haokai Chen; Zhongnian Li; Shouyin Liu (CHINACOM, 2011)

Real-time and fairness assisted scheduling in multiuser two-way relay network. - Hui Yin; Jian Liang; Haokai Chen; Zhongnian Li; Shouyin Liu (CHINACOM, 2011)

The Number of Disconnect MSs and System Capacity Analysis with Variable RSs Location in Two-Hop Cellular Networks. - Haokai Chen; Jian Liang; Hui Yin; Zhongnian Li; Shouyin Liu (VTC Fall, 2011)

A Novel Dynamic Full Frequency Reuse Scheme in OFDMA Cellular Relay Networks. - Jian Liang; Hui Yin; Haokai Chen; Zhongnian Li; Shouyin Liu (VTC Fall, 2011)

Research on fault diagnosis method for ECS-CNCL based on rough set. - Zhongnian Li; Lei Zhou (FSKD, 2012)

Analysis of massive MIMO systems downlink precoding performance. - Zhipeng Xiao; Zhongnian Li (ChinaCom, 2014)

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Zhongnian Li; Tao Zhang 099; Peng Wan 004; Daoqiang Zhang (AAAI, 2019)

Long Tail Multi-label Learning. - Mengqi Yuan; Jinke Xu; Zhongnian Li (AIKE, 2019)

Adaptive Joint Attention with Reinforcement Training for Convolutional Image Caption. - Ruoyu Chen; Zhongnian Li; Daoqiang Zhang (HBAI@IJCAI, 2019)

Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images. - Junwei Li; Wei Shao 005; Zhongnian Li; Weida Li; Daoqiang Zhang (MLMI@MICCAI, 2019)

Unsupervised Domain Adaptation for Multi-Center Autism Spectrum Disorder Identification. - You Jiang; Zhongnian Li; Daoqiang Zhang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Improved Procedures for Training Primal Wasserstein GANs. - Tao Zhang 099; Zhongnian Li; Qi Zhu 001; Daoqiang Zhang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

SEGAN: Structure-Enhanced Generative Adversarial Network for Compressed Sensing MRI Reconstruction. - Zhongnian Li; Tao Zhang 099; Daoqiang Zhang (CoRR, 2019)

MRI Measurement Matrix Learning via Correlation Reweighting. - Zhongnian Li; Tao Zhang 099; Ruoyu Chen; Daoqiang Zhang (ACM Multimedia, 2020)

Improving the Certified Robustness of Neural Networks via Consistency Regularization. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Wei Shao 005; Daoqiang Zhang (CoRR, 2020)

Phase Rotation to Avoid Imaginary Interference Leakage in Multi-user MIMO-OFDM/OQAM Systems. - Zhongnian Li; Hongbo Xu; Da Chen; Daiming Qu (Wirel. Pers. Commun., 2020)

GBCI: Adaptive Frequency Band Learning for Gender Recognition in Brain-Computer Interfaces. - Pengpai Wang; Yueying Zhou; Zhongnian Li; Daoqiang Zhang (CICAI, 2021)

A Consistency Regularization for Certified Robust Neural Networks. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (CICAI (2), 2021)

Fs-Net: Filter Selection Network For Hyperspectral Reconstruction. - Liutao Yang; Zhongnian Li; Zongxiang Pei; Daoqiang Zhang (ICIP, 2021)

Landslide Risk Classification Based on Ensemble Machine Learning. - Leiyu Dai; Mingcang Zhu; Zhanyong He; Yong He 007; Zezhong Zheng; Guoqing Zhou 001; Chao Wang; Juan Ren; Hongqiong Tang; Qiang Liu 009; Fang Huang 001; Zhongnian Li; et al. (IGARSS, 2021)

Urban Residential Land Price Assessment Based on Transfer Learning. - Weishi Jin; Mingcang Zhu; Yong He 007; Jie Li; Zezhong Zheng; Mingkun Feng; Zhongnian Li; Zhiyong Wang; Mingqi Li; Ling Jiang; Qiang Liu 009; Ankai Hou; et al. (IGARSS, 2021)

Classification of Surface Natural Resources Based on HR-Net and DEM. - Mujie Li; Mingcang Zhu; Yong He 007; Jianying Shu; Pengshan Li; Ankai Hou; Zezhong Zheng; Guoqing Zhou 001; Zhongnian Li; Zhiyong Wang; Mingqi Li; Ling Jiang; et al. (IGARSS, 2021)

Himawari Thermal Anomaly Scrutiny with Deep Learning. - Qurratulain Safder; Haoyu Zhang; Mingcang Zhu; Fangrong Zhou; Yong He 007; Lifeng Liu; Zezhong Zheng; Zhongnian Li; Zhiyong Wang; Mingqi Li; Ling Jiang; Qiang Liu 009; et al. (IGARSS, 2021)

Deformation of Chengdu Downtown with Sentinel-1A. - Tianming Shao; Mingcang Zhu; Yong He 007; Boya Yang; Zhanyong He; Fangrong Zhou; Juan Ren; Hongqiong Tang; Yao Fu; Zezhong Zheng; Zhongnian Li; Guoqing Zhou 001; et al. (IGARSS, 2021)

Relationship Between Defects of Capacitive Equipment and Geomorphology. - Chen Xie; Qingjun Peng; Zezhong Zheng; Zhongnian Li; Zhiyong Wang; Mingqi Li; Ling Jiang; Qiang Liu; Xuemei Li (IGARSS, 2021)

Phase Unwrapping Methods for D-InSAR. - Chen Xie; Mingcang Zhu; Yong He 007; Zhanyong He; Fangrong Zhou; Juan Ren; Hongqiong Tang; Liutong Li; Zezhong Zheng; Tianming Shao; Zhongnian Li; Zhiyong Wang; et al. (IGARSS, 2021)

The Reprocessing for Himawari-8 Based on Deep Learning. - Haoyu Zhang; Zezhong Zheng; Mingcang Zhu; Fangrong Zhou; Yong He 007; Zhongnian Li; Guoqing Zhou 001; Zhiyong Wang; Mingqi Li; Ling Jiang; Qiang Liu 009; Xuemei Li (IGARSS, 2021)

Sign-aware Perturbations Regression. - Zhongnian Li; Tao Zhang 099; Wei Shao 005; Songcan Chen; Daoqiang Zhang (SDM, 2021)

Resource Allocation for Intelligent Reflecting Surfaces Assisted Federated Learning System with Imperfect CSI. - Wei Huang; Zhiren Han; Li Zhao; Hongbo Xu; Zhongnian Li; Ze Wang 007 (Algorithms, 2021)

GACDN: generative adversarial feature completion and diagnosis network for COVID-19. - Qi Zhu 001; Haizhou Ye; Liang Sun 009; Zhongnian Li; Ran Wang 002; Feng Shi 001; Dinggang Shen; Daoqiang Zhang (BMC Medical Imaging, 2021)

Towards evaluating the robustness of deep diagnostic models by adversarial attack. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Mingxia Liu 001; Daoqiang Zhang (Medical Image Anal., 2021)

Evaluation of Urban Functional System. - Weishi Jin; Zezhong Zheng; Pengshan Li; Ankai Hou; Zhongnian Li; Qiang Liu (IGARSS, 2022)

S2Snet: deep learning for low molecular weight RNA identification with nanopore. - Xiaoyu Guan; Yuqin Wang; Wei Shao 005; Zhongnian Li; Shuo Huang 001; Daoqiang Zhang (Briefings Bioinform., 2022)

Scale-Invariant Adversarial Attack for Evaluating and Enhancing Adversarial Defenses. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (CoRR, 2022)

Learning from Positive and Unlabeled Data with Augmented Classes. - Zhongnian Li; Liutao Yang; Zhongchen Ma; Tongfeng Sun; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

Complementary Labels Learning with Augmented Classes. - Zhongnian Li; Jian Zhang 019; Mengting Xu; Xinzheng Xu; Daoqiang Zhang (CoRR, 2022)

A half subcarrier guard band spectrum assignment scheme for multi-user FBMC systems. - Wei Huang; Hongbo Xu; Zhongnian Li (KSII Trans. Internet Inf. Syst., 2022)

Learning from Stochastic Labels. - Meng Wei 006; Zhongnian Li; Yong Zhou 003; Qiaoyu Guo; Xinzheng Xu (CoRR, 2023)

Multi-label Learning from Privacy-Label. - Zhongnian Li; Haotian Ren; Tongfeng Sun; Zhichen Li (CoRR, 2023)

Joint Antenna Selection and Multicast Precoding in Spatial Modulation Systems. - Wei Liu; Xinxin Ma; Haoting Yan; Zhongnian Li; Shouyin Liu (KSII Trans. Internet Inf. Syst., 2023)

Insulator Detection for High-Resolution Satellite Images Based on Deep Learning. - Fangrong Zhou; Weishi Jin; Zezhong Zheng; Fan Mou; Zhongnian Li; Yutang Ma; Bu Wei; Shuangde Huang; Qun Wang (IEEE Geosci. Remote. Sens. Lett., 2023)

Active learning for efficient analysis of high-throughput nanopore data. - Xiaoyu Guan; Zhongnian Li; Yueying Zhou; Wei Shao 005; Daoqiang Zhang (Bioinform., 2023)

Low-Dose CT Denoising via Sinogram Inner-Structure Transformer. - Liutao Yang; Zhongnian Li; Rongjun Ge; Junyong Zhao; Haipeng Si; Daoqiang Zhang (IEEE Trans. Medical Imaging, 2023)

Learning from hybrid labels with partial labels via hybrid-grained contrast regularization. - Xinzheng Xu; Jian Zhang 019; Zhongnian Li (Appl. Soft Comput., 2023)

Class-imbalanced complementary-label learning via weighted loss. - Meng Wei 006; Yong Zhou 003; Zhongnian Li; Xinzheng Xu (Neural Networks, 2023)

Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. - Zhongnian Li; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (ICMR, 2024)

Learning from Reduced Labels for Long-Tailed Data. - Meng Wei 006; Zhongnian Li; Yong Zhou 003; Xinzheng Xu (ICMR, 2024)

Learning from Concealed Labels. - Zhongnian Li; Meng Wei 006; Peng Ying; Tongfeng Sun; Xinzheng Xu (ACM Multimedia, 2024)

Determined Multi-Label Learning via Similarity-Based Prompt. - Meng Wei 006; Zhongnian Li; Peng Ying; Yong Zhou 003; Xinzheng Xu (CoRR, 2024)

Learning from True-False Labels via Multi-modal Prompt Retrieving. - Zhongnian Li; Jinghao Xu; Peng Ying; Meng Wei 006; Tongfeng Sun; Xinzheng Xu (CoRR, 2024)

CoA: Chain-of-Action for Generative Semantic Labels. - Meng Wei 006; Zhongnian Li; Peng Ying; Xinzheng Xu (CoRR, 2024)

Complementary Labels Learning with Augmented Classes. - Zhongnian Li; Mengting Xu; Xinzheng Xu; Daoqiang Zhang (Knowl. Based Syst., 2024)

Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features. - Tongfeng Sun; Xiurui Wang; Zhongnian Li; Shifei Ding (Neural Networks, 2024)

InfoAT: Improving Adversarial Training Using the Information Bottleneck Principle. - Mengting Xu; Tao Zhang 099; Zhongnian Li; Daoqiang Zhang (IEEE Trans. Neural Networks Learn. Syst., 2024)

ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. - Zhongnian Li; Meng Wei 006; Peng Ying; Xinzheng Xu (WSDM, 2025)

Adversarial domain adaptation with CLIP for few-shot image classification. - Tongfeng Sun; Hongjian Yang; Zhongnian Li; Xinzheng Xu; Xiurui Wang (Appl. Intell., 2025)

Deep Learning Based Joint Channel Estimation and Positioning for Sparse XL-MIMO OFDM Systems. - Zhongnian Li; Chao Zheng; Jian Xiao 003; Ji Wang 004; Gongpu Wang; Ming Zeng 002; Octavia A. Dobre (CoRR, 2025)