| 2026 | WWW | LoRA-E | Shengkun Zhu, Jinshan Zeng, Yiming Wang, Sheng Wang, Yuan Sun, Shangfeng Chen, Yuan Yao, Qiang Yang |
| 2025 | AAAI | Self-Supervised Collaborative Information Bottleneck for Text Readability Assessment. | Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao |
| 2025 | ICASSP | TriDE-Net: Triple-Densely Extraction Network for Precise Skin Lesion Segmentation. | Huan Wan, Taona Deng, Wujian Xu, Xin Wei, Jinshan Zeng |
| 2025 | ICASSP | Learning Stroke-Order Dynamics in Few-Shot Font Generation via Sequential Awareness. | Jinshan Zeng, Yiyang Yuan, Yan Zhang, Yefei Wang, Xijia Wang |
| 2025 | KDD | FedAPM: Federated Learning via ADMM with Partial Model Personalization. | Shengkun Zhu, Feiteng Nie, Jinshan Zeng, Sheng Wang, Yuan Sun, Yuan Yao, Shangfeng Chen, Quanqing Xu, Chuanhui Yang |
| 2024 | AAAI | InterpretARA: Enhancing Hybrid Automatic Readability Assessment with Linguistic Feature Interpreter and Contrastive Learning. | Jinshan Zeng, Xianchao Tong, Xianglong Yu, Wenyan Xiao, Qing Huang |
| 2024 | ICANN | SCI-Font: Enhancing Content-Style Representation for Chinese Calligraphy Generation with Skeleton, Contour and Inexact Paired Data. | Yan Zhang, Yefei Wang, Jialu Xiong, Jie Zhou, Jinshan Zeng |
| 2024 | ICASSP | CLIP-MSA: Incorporating Inter-Modal Dynamics and Common Knowledge to Multimodal Sentiment Analysis With Clip. | Qi Huang, Pingting Cai, Tanyue Nie, Jinshan Zeng |
| 2024 | ICASSP | CLIP-Font: Sementic Self-Supervised Few-Shot Font Generation with Clip. | Jialu Xiong, Yefei Wang, Jinshan Zeng |
| 2024 | IJCNN | SCA-Font: Enhancing Few-Shot Generation with Style-Content Aggregation. | Yefei Wang, Sunzhe Yang, Kangyue Xiong, Jinshan Zeng |
| 2023 | EMNLP | PromptARA: Improving Deep Representation in Hybrid Automatic Readability Assessment with Prompt and Orthogonal Projection. | Jinshan Zeng, Xianglong Yu, Xianchao Tong, Wenyan Xiao |
| 2023 | IJCNN | Enhancing Chinese Calligraphy Generation with Contour and Region-aware Attention. | Jinshan Zeng, Ling Tu, Jie Zhou, Yefei Wang, Jiguo Zeng |
| 2023 | IJCNN | Zero-Shot Chinese Character Recognition with Stroke- and Radical-Level Decompositions. | Jinshan Zeng, Ruiying Xu, Yu Wu, Hongwei Li, Jiaxing Lu |
| 2022 | EMNLP | Enhancing Automatic Readability Assessment with Pre-training and Soft Labels for Ordinal Regression. | Jinshan Zeng, Yudong Xie, Xianglong Yu, John Lee, Ding-Xuan Zhou |
| 2021 | AAAI | StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding. | Jinshan Zeng, Qi Chen, Yunxin Liu, Mingwen Wang, Yuan Yao |
| 2020 | ICML | DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths. | Yanwei Fu, Chen Liu, Donghao Li, Xinwei Sun, Jinshan Zeng, Yuan Yao |
| 2019 | ICIP | Image Smoothing Via Gradient Sparsity and Surface Area Minimization. | Jun Liu, Ming Yan, Jinshan Zeng, Tieyong Zeng |
| 2019 | ICML | Global Convergence of Block Coordinate Descent in Deep Learning. | Jinshan Zeng, Tim Tsz-Kit Lau, Shaobo Lin, Yuan Yao |
| 2018 | AAAI | Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. | Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao |
| 2018 | AISTATS | Finding Global Optima in Nonconvex Stochastic Semidefinite Optimization with Variance Reduction. | Jinshan Zeng, Ke Ma, Yuan Yao |
| 2018 | ICLR | A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training. | Tim Tsz-Kit Lau, Jinshan Zeng, Baoyuan Wu, Yuan Yao |
| 2011 | IGARSS | SAR imaging from compressed measurements based on L1/2 regularization. | Jinshan Zeng, Zongben Xu, Hai Jiang, Bingchen Zhang, Wen Hong, Yirong Wu |