| 2026 | AAAI | Distilling Cross-Modal Knowledge via Feature Disentanglement. | Junhong Liu, Yuan Zhang, Tao Huang, Wenchao Xu, Renyu Yang |
| 2025 | CLOUD | Cuckoo: Deadline-Aware Job Packing on Heterogeneous GPUs for DL Model Training. | Yuzheng Zhang, Renyu Yang, Junhong Liu, Weihan Jiang, Tianyu Ye, Yiqiao Liao, Penghao Zhang, Tiezi Zhang, Kun Shang, Tianyu Wo, Chunming Hu, Chengru Song, Jin Ouyang |
| 2025 | IJCNN | A Bag-Instance Network for Dysarthria Detection. | Junhong Liu |
| 2025 | MICCAI | From Generalist to Specialist: Distilling a Mixture of Foundation Models for Domain-Specific Medical Image Segmentation. | Qing Li, Yizhe Zhang, Shengxiao Yang, Qirong Li, Zian Wang, Junhong Liu, Haoyang Zhang, Shuo Wang, Chengyan Wang |
| 2025 | MICCAI | Multimodal Imputation of Imaging-Derived Phenotypes from Genomic and Blood-Based Biomarkers Enhances Common Disease Discovery. | Haoyang Zhang, Yan Li, Junhong Liu, Lizhen Lan, Zian Wang, Longyu Sun, Yuntong Lv, Shengxiao Yang, Qing Li, Mengting Sun, Yajing Zhang, Binghua Chen, Xionghui Zhou, Lianming Wu, Chengyan Wang |
| 2024 | ACL | CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models. | Tong Zhang, Peixin Qin, Yang Deng, Chen Huang, Wenqiang Lei, Junhong Liu, Dingnan Jin, Hongru Liang, Tat-Seng Chua |
| 2024 | CSCWD | A TDE-based Multi-node Data Categorized Transfer Storage Scheme in Consortium Blockchain. | Xian Deng, Junhong Liu, Peng Wu, Jiaying Zhang, Zehui Yuan, Fake Fang, Jiale Xie, Libo Feng |
| 2024 | CSCWD | BCFL: A Trustworthy and Efficient Federated Learning Framework Based on Blockchain In IoT. | Fake Fang, Libo Feng, Jiale Xie, Junhong Liu, Zehui Yuan, Xian Deng, Peng Wu, Peiyin Luo, Yifan Liu |
| 2024 | CSCWD | CMSCEF: A Cross-chain Mechanism based on Smart Contract Execution Framework. | Junhong Liu, Libo Feng, Xian Deng, Xianchi Gao, Fake Fang, Zehui Yuan, Jiale Xie, Peng Wu, Zhixing Zhang |
| 2024 | CSCWD | A Cross-Chain Privacy Protection and Key Sharing Scheme Based on Relay Chain. | Peng Wu, Libo Feng, Junhong Liu, Zehui Yuan, Yaqi Zhou, Xian Deng, Zhixing Zhang, Jiale Xie, Fake Fang |
| 2024 | CSCWD | A Blockchain-based Federated Learning Framework for Defending Against Poisoning Attacks in IIOT. | Jiale Xie, Libo Feng, Fake Fang, Zehui Yuan, Xian Deng, Junhong Liu, Peng Wu, Zhuo Li |
| 2023 | EMNLP | Towards Effective Automatic Debt Collection with Persona Awareness. | Tong Zhang, Junhong Liu, Chen Huang, Jia Liu, Hongru Liang, Zujie Wen, Wenqiang Lei |
| 2023 | ICANN | Improved Attention Mechanism and Adversarial Training for Respiratory Infectious Disease Text Named Entity Recognition. | Junhong Liu, Wenxue Wei, Yukun Zhang, Lei Liang |
| 2022 | EMNLP | Improve Interpretability of Neural Networks via Sparse Contrastive Coding. | Junhong Liu, Yijie Lin, Liang Jiang, Jia Liu, Zujie Wen, Xi Peng |
| 2022 | ICIP | A Multi-Task Semantic Segmentation Network for Threat Detection in X-Ray Security Images. | Junhong Liu, Baoping Li |
| 2022 | SC | WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture. | Dongxu Yang, Junhong Liu, Jiaxing Qi, Junjie Lai |
| 2021 | ICPP | Optimizing Winograd-Based Convolution with Tensor Cores. | Junhong Liu, Dongxu Yang, Junjie Lai |
| 2020 | COLING | Query Distillation: BERT-based Distillation for Ensemble Ranking. | Wangshu Zhang, Junhong Liu, Zujie Wen, Yafang Wang, Gerard de Melo |
| 2018 | PPoPP | Register-based implementation of the sparse general matrix-matrix multiplication on GPUs. | Junhong Liu, Xin He, Weifeng Liu, Guangming Tan |
| 2016 | ICA3PP | Locality of Computation for Stencil Optimization. | Lufeng Yuan, Junhong Liu, Yulong Luo, Guangming Tan |
| 2016 | ICPR | An effective voiceprint based identity authentication system for Mandarin smartphone users. | Junhong Liu, Yuexian Zou, Yichi Huang |
| 2006 | ACCV | A Unified Framework for Segmentation-Assisted Image Registration. | Jundong Liu, Yang Wang, Junhong Liu |
| 2005 | GECCO | A differential evolution based incremental training method for RBF networks. | Junhong Liu, Jouni Lampinen |
| 2005 | ICTAI | Training RBF Networks Using a DE Algorithm with Adaptive Control. | Junhong Liu, Jorma K. Mattila, Jouni Lampinen |
| 2004 | CIS | Growing RBF Networks for Function Approximation by a DE-Based Method. | Junhong Liu, Saku Kukkonen, Jouni Lampinen |