Desheng Kong

13 papers A* 1Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
CQNAS: Convolutional quantum hybrid neural network architecture search for image classification.
Neurocomputing
Desheng Kong, Jiaying Jin, Xiangshuo Cui, Jijie Yan, Jiyang Tang, Yulong Fu, Jing Xu, Donglin Wang
2026 J jnl
Quantum-enhanced gold rush Optimizer for multi-threshold segmentation of lupus nephritis pathological images.
Displays
Mingyang Yu, Haotian Lu, Donglin Wang, Ji Du, Desheng Kong, Xiaoxuan Xu, Jing Xu
2026 J jnl
SR-DANet: Sparse-aware super-resolution network based on dynamic adaptive branch for medical image segmentation.
Inf. Process. Manag.
Haotian Lu, Desheng Kong, Xinjian Wei, Xiaoxuan Xu, Jing Xu
2025 J jnl
Distributed Shared Layered Storage Quantum Simulator: A novel quantum simulation system for efficient scaling and cost optimization.
CoRR
Mingyang Yu, Haorui Yang, Donglin Wang, Desheng Kong, Ji Du, Yulong Fu, Wei Wang, Jing Xu
2025 J jnl
Efficient Star Distillation Attention Network for Lightweight Image Super-Resolution.
CoRR
Fangwei Hao, Ji Du, Desheng Kong, Jiesheng Wu, Jing Xu, Ping Li
2025 J jnl
Hybrid Quantum Transformer for Language Generation.
CoRR
Desheng Kong, Xiangshuo Cui, Jiaying Jin, Jing Xu, Donglin Wang
2025 J jnl
Improved Coverage and Redundancy Management in WSN Using ENMDBO: An Enhanced Metaheuristic Solution.
IEEE Trans. Netw. Serv. Manag.
Mingyang Yu, Haorui Yang, Shengwei Fu, Desheng Kong, Xiaoxuan Xu, Jun Zhang, Jing Xu
2025 J jnl
QVecOpt: An Efficient Storage and Computing Opti-mization Framework for Large-scale Quantum State Simulation.
CoRR
Mingyang Yu, Haorui Yang, Donglin Wang, Desheng Kong, Ji Du, Yulong Fu, Jing Xu
2025 A* conf
Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection.
CVPR
Ji Du, Fangwei Hao, Mingyang Yu, Desheng Kong, Jiesheng Wu, Bin Wang, Jing Xu, Ping Li
2025 J jnl
UpGen: Unleashing Potential of Foundation Models for Training-Free Camouflage Detection via Generative Models.
IEEE Trans. Image Process.
Ji Du, Jiesheng Wu, Desheng Kong, Weiyun Liang, Fangwei Hao, Jing Xu, Bin Wang, Guiling Wang, Ping Li
2024 — conf
Predicting Distant Drug-Target Interactions via a Random Walk Guided Graph Neural Network.
BIBM
Xu Jin, Maoqiang Xie, Yalou Huang, Mingming Liu, Desheng Kong, Yuhang Xuan, Yang Kuang
2024 J jnl
Self-supervised reconstructed graph learning for link prediction in bipartite graphs.
Neurocomputing
Xu Jin, Desheng Kong, Maoqiang Xie, Yalou Huang, Mingming Liu, Weiwei Yang, Hao Shi, Yue Liu
2023 — conf
A Heterogeneous Ranking Contrastive Learning Method for Drug-Target Interaction Prediction.
BIBM
Desheng Kong, Xu Jin, Maoqiang Xie, Mingming Liu, Yanhao Li, Jingjing He, Hao Shi, Yiran Wan, Yalou Huang, Weiwei Yang