An Attention Method to Introduce Prior Knowledge in Dialogue State Tracking. - Zhonghao Chen; Cong Liu (ICONIP (3), 2021)

Shallow Network Based on Depthwise Over-Parameterized Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (CoRR, 2021)

Sandwich Convolutional Neural Network for Hyperspectral Image Classification Using Spectral Feature Enhancement. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Hierarchical Shrinkage Multiscale Network for Hyperspectral Image Classification With Hierarchical Feature Fusion. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Dynamic Data Augmentation Method for Hyperspectral Image Classification Based on Siamese Structure. - Hongmin Gao 001; Junpeng Zhang 004; Xueying Cao; Zhonghao Chen; Yiyan Zhang; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

A Multiscale Dual-Branch Feature Fusion and Attention Network for Hyperspectral Images Classification. - Hongmin Gao 001; Yiyan Zhang; Zhonghao Chen; Chenming Li (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Cosmonarrative and the Narrative Cosmos: Visual Narrative in Material-based Image. - Zhonghao Chen (HCI (12), 2022)

Exploring the Collaboration Between Convolutional Neural Networks and Transformers in Hyperspectral Image Classification. - Hongmin Gao 001; Yiyan Zhang; Zhonghao Chen; Hongyi Wu; Weibo Zhang; Chenming Li (WHISPERS, 2022)

Adaptive spectral-spatial feature fusion network for hyperspectral image classification using limited training samples. - Hongmin Gao 001; Zhonghao Chen; Feng Xu 008 (Int. J. Appl. Earth Obs. Geoinformation, 2022)

ALL-MASK: A Reconfigurable Logic Locking Method for Multicore Architecture with Sequential-Instruction-Oriented Key. - Jianfeng Wang; Zhonghao Chen; Jiahao Zhang; Yixin Xu 001; Tongguang Yu; Enze Ye; Ziheng Zheng; Huazhong Yang; Sumitha George; Yongpan Liu; Vijaykrishnan Narayanan; Xueqing Li 002 (CoRR, 2022)

Multiscale spectral-spatial cross-extraction network for hyperspectral image classification. - Hongmin Gao 001; Hongyi Wu; Zhonghao Chen; Yunfei Zhang; Yiyan Zhang; Chenming Li (IET Image Process., 2022)

Shallow Network Based on Depthwise Overparameterized Convolution for Hyperspectral Image Classification. - Hongmin Gao 001; Zhonghao Chen; Chenming Li (IEEE Geosci. Remote. Sens. Lett., 2022)

Global to Local: A Hierarchical Detection Algorithm for Hyperspectral Image Target Detection. - Zhonghao Chen; Zhengtao Lu; Hongmin Gao 001; Yiyan Zhang; Jia Zhao 001; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2022)

WeightLock: A Mixed-Grained Weight Encryption Approach Using Local Decrypting Units for Ciphertext Computing in DNN Accelerators. - Jianfeng Wang; Zhonghao Chen; Yiming Chen; Yixin Xu 001; Tianyi Wang; Yao Yu; Vijaykrishnan Narayanan; Sumitha George; Huazhong Yang; Xueqing Li 002 (AICAS, 2023)

Deep Learning Techniques for EEG-Based BCI: Analysis and Applications. - Zhonghao Chen (CISP-BMEI, 2023)

ASMCap: An Approximate String Matching Accelerator for Genome Sequence Analysis Based on Capacitive Content Addressable Memory. - Hongtao Zhong; Zhonghao Chen; Wenqin Huangfu; Chen Wang; Yixin Xu 001; Tianyi Wang; Yao Yu; Yongpan Liu; Vijaykrishnan Narayanan; Huazhong Yang; Xueqing Li 002 (DAC, 2023)

Is There Any Social Principle for LLM-Based Agents? - Jitao Bai; Simiao Zhang; Zhonghao Chen (CoRR, 2023)

Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification. - Zhonghao Chen; Danfeng Hong; Hongmin Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

Adaptively Dictionary Construction for Hyperspectral Target Detection. - Chenming Li; Weibo Zhang; Yiyan Zhang; Zhonghao Chen; Hongmin Gao 001 (IEEE Geosci. Remote. Sens. Lett., 2023)

A Multidepth and Multibranch Network for Hyperspectral Target Detection Based on Band Selection. - Hongmin Gao 001; Yitong Zhang; Zhonghao Chen; Shufang Xu; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Target Detection via Spectral Aggregation and Separation Network With Target Band Random Mask. - Hongmin Gao 001; Yitong Zhang; Zhonghao Chen; Feng Xu 008; Danfeng Hong; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Local aggregation and global attention network for hyperspectral image classification with spectral-induced aligned superpixel segmentation. - Zhonghao Chen; Guoyong Wu; Hongmin Gao 001; Yao Ding 010; Danfeng Hong; Bing Zhang 001 (Expert Syst. Appl., 2023)

A 28nm 8928Kb/mm2-Weight-Density Hybrid SRAM/ROM Compute-in-Memory Architecture Reducing >95% Weight Loading from DRAM. - Guodong Yin; Yiming Chen; Mingyen Lee; Xirui Du; Yue Ke; Wenjun Tang; Zhonghao Chen; Mufeng Zhou; Jinshan Yue; Huazhong Yang; Hongyang Jia; Yongpan Liu; et al. (CICC, 2024)

Nature's Canvas: Exploring Landscape Through Cyanotype Assemblage Art. - Zhonghao Chen; André Krebber; Yuehan Dou (HCI (18), 2024)

TL2GH²T: Triple-Path Local-to-Global Network With Hybrid Head Transformer for Hyperspectral Change Detection. - Zhonghao Chen; Yuyang Wang; Swalpa Kumar Roy; Hongmin Gao 001; Yao Ding 010; Xiongwu Xiao; Zhenfeng Shao; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Multiscale Random-Shape Convolution and Adaptive Graph Convolution Fusion Network for Hyperspectral Image Classification. - Hongmin Gao 001; Runhua Sheng; Zhonghao Chen; Haiyun Liu; Shufang Xu; Bing Zhang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Airborne Small Target Detection Method Based on Multimodal and Adaptive Feature Fusion. - Shufang Xu; Xu Chen; Haiwei Li; Tianci Liu 007; Zhonghao Chen; Hongmin Gao 001; Yiyan Zhang (IEEE Trans. Geosci. Remote. Sens., 2024)

Cognitive Fusion of Graph Neural Network and Convolutional Neural Network for Enhanced Hyperspectral Target Detection. - Shufang Xu; Sijie Geng; Pengfei Xu; Zhonghao Chen; Hongmin Gao 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

A Module-Level Configuration Methodology for Programmable Camouflaged Logic. - Jianfeng Wang; Zhonghao Chen; Jiahao Zhang; Yixin Xu 001; Tongguang Yu; Ziheng Zheng; Enze Ye; Sumitha George; Huazhong Yang; Yongpan Liu; Kai Ni 004; Vijaykrishnan Narayanan; et al. (ACM Trans. Design Autom. Electr. Syst., 2024)

DSC-ROM: A Fully Digital Sparsity-Compressed Compute-in-ROM Architecture for on-Chip Deployment of Large-Scale DNNs. - Tianyi Yu; Zhonghao Chen; Yiming Chen; Shuang Wang; Yongpan Liu; Huazhong Yang; Xueqing Li 002 (DATE, 2025)

Quantumtechnics: Printing as a Cross-Media Phenomenon of Observing and Materializing in Shaping Reality. - Zhonghao Chen; Cheng-Hung Lo (HCI (19), 2025)

Kung-Fu: An Energy-Efficient Compute-In-Memory Approach for Neural Network Inference Using Multi-Level Binary Computing Fusion. - Tianyu Liao; Yiming Chen; Wenjun Tang; Zhonghao Chen; Yu Wang 002; Huazhong Yang; Xueqing Li 002 (ISCAS, 2025)

MDA-HTD: Mask-driven dual autoencoders meet hyperspectral target detection. - Zhonghao Chen; Hongmin Gao 001; Zhengtao Lu; Yiyan Zhang; Yao Ding 010; Xin Li 090; Bing Zhang 001 (Inf. Process. Manag., 2025)

A physics-informed machine learning approach for temperature field prediction in metallic additive manufacturing. - Zhonghao Chen; Haochen Mu; Fengyang He; Lei Yuan; Hongtao Zhu; Ninshu Ma; Zengxi Pan (J. Ind. Inf. Integr., 2025)

Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Shuyu Fei; Jun Zhou 001; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)

E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification. - Yiyan Zhang; Hongmin Gao 001; Zhonghao Chen; Chenkai Zhang; Pedram Ghamisi; Bing Zhang 001 (Inf. Fusion, 2026)