| 2026 | KSEM | Deep Learning Networks Based on Fusion Model for EEG-fNIRS Multimodal Learning Confusion in Online Class. | Junxiu Liu, Jin Zeng, Xue Ouyang, Qiang Fu, Sheng Qin, Yuling Luo |
| 2026 | WWW | RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation. | Jin Zeng, Yupeng Qi, Hui Li, Chengming Li, Ziyu Lyu, Lixin Cui, Lu Bai |
| 2025 | AAAI | Math-PUMA: Progressive Upward Multimodal Alignment to Enhance Mathematical Reasoning. | Wenwen Zhuang, Xin Huang, Xiantao Zhang, Jin Zeng |
| 2025 | EMNLP | TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data. | Changjiang Jiang, Fengchang Yu, Haihua Chen, Wei Lu, Jin Zeng |
| 2025 | ICCV | Consistent Time-of-Flight Depth Denoising via Graph-Informed Geometric Attention. | Weida Wang, Changyong He, Jin Zeng, Di Qiu |
| 2025 | MMSP | SpatialGeo: Boosting Spatial Reasoning in Multimodal LLMs via Geometry-Semantics Fusion. | Jiajie Guo, Qingpeng Zhu, Jin Zeng, Xiaolong Wu, Changyong He, Weida Wang |
| 2024 | CIKM | Knowledge-enhanced Dynamic Modeling framework for Multi-Behavior Recommendation. | Xiujuan Li, Nan Wang, Jin Zeng, Yingli Zhong, Zhonghui Shen |
| 2024 | CIKM | Dual-level Intents Modeling for Knowledge-aware Recommendation. | Jin Zeng, Nan Wang, Jinbao Li |
| 2024 | CSCWD | CASTNet: Convolution Augmented Graph Sampling Transformer Network for Traffic Flow Forecasting. | Zixuan Chen, Shengjie Zhao, Jin Zeng, Shilong Dong, Geyunqian Zu |
| 2024 | ICASSP | SEA-GNN: Sequence Extension Augmented Graph Neural Network for Sequential Recommendation. | Geyunqian Zu, Shengjie Zhao, Jin Zeng, Shilong Dong, Zixuan Chen |
| 2024 | ICLR | Graph Lottery Ticket Automated. | Guibin Zhang, Kun Wang, Wei Huang, Yanwei Yue, Yang Wang, Roger Zimmermann, Aojun Zhou, Dawei Cheng, Jin Zeng, Yuxuan Liang |
| 2023 | ICASSP | Sparse Graph Learning with Spectrum Prior for Deep Graph Convolutional Networks. | Jin Zeng, Yang Liu, Gene Cheung, Wei Hu |
| 2020 | ECCV | Deep Surface Normal Estimation on the 2-Sphere with Confidence Guided Semantic Attention. | Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo |
| 2019 | CVPR | Deep Graph Laplacian Regularization for Robust Denoising of Real Images. | Jin Zeng, Jiahao Pang, Wenxiu Sun, Gene Cheung |
| 2019 | CVPR | Deep Surface Normal Estimation With Hierarchical RGB-D Fusion. | Jin Zeng, Yanfeng Tong, Yunmu Huang, Qiong Yan, Wenxiu Sun, Jing Chen, Yongtian Wang |
| 2018 | CVPR | Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains. | Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy S. J. Ren, Ruichao Xiao, Jin Zeng, Liang Lin |
| 2017 | ICIP | Hyperspectral image coding using graph wavelets. | Jin Zeng, Gene Cheung, Yung Hsuan Chao, Ian Blanes, Joan Serra-Sagrist, Antonio Ortega |
| 2016 | ICASSP | Bipartite subgraph decomposition for critically sampled wavelet filterbanks on arbitrary graphs. | Jin Zeng, Gene Cheung, Antonio Ortega |
| 2015 | ICIP | Image colorization via color propagation and rank minimization. | Yonggen Ling, Oscar C. Au, Jiahao Pang, Jin Zeng, Yuan Yuan, Amin Zheng |
| 2014 | ICASSP | Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling. | Jin Zeng, Oscar C. Au, Yuanfang Guo, Jiahao Pang, Ketan Tang, Yonggen Ling |
| 2014 | ICASSP | Palette-based compound image compression in HEVC by exploiting non-local spatial correlation. | Wenjing Zhu, Oscar C. Au, Wei Dai, Haitao Yang, Rui Ma, Luheng Jia, Jin Zeng, Pengfei Wan |
| 2014 | ICIP | Self-similarity-based image colorization. | Jiahao Pang, Oscar C. Au, Yukihiko Yamashita, Yonggen Ling, Yuanfang Guo, Jin Zeng |
| 2013 | VCIP | An analytical study of subpixel-based image down-sampling patterns in frequency domain. | Yonggen Ling, Oscar C. Au, Ketan Tang, Jiahao Pang, Jin Zeng, Lu Fang |
| 2010 | APWEB | SOARWare: A Service Oriented Software Production and Running Environment. | Hailong Sun, Xudong Liu, Xiang Li, Jin Zeng, Zicheng Huang |
| 2010 | SERVICES | Live Instance Migration with Data Consistency in Composite Service Evolution. | Jianing Zou, Xudong Liu, Hailong Sun, Jin Zeng |
| 2009 | ICWS | LiveMig: An Approach to Live Instance Migration in Composite Service Evolution. | Jin Zeng, Jinpeng Huai, Hailong Sun, Ting Deng, Xiang Li |
| 2009 | SERVICES | SOArMetrics: A Toolkit for Testing and Evaluating SOA Middleware. | Xiang Li, Jinpeng Huai, Xudong Liu, Jin Zeng, Zicheng Huang |
| 2007 | HPCC | CROWN FlowEngine: A GPEL-Based Grid Workflow Engine. | Jin Zeng, Zongxia Du, Chunming Hu, Jinpeng Huai |
| 2005 | CEC | Adaptive population size for univariate marginal distribution algorithm. | Yi Hong, Qingsheng Ren, Jin Zeng |
| 2005 | CEC | Optimization of noisy fitness functions with univariate marginal distribution algorithm. | Yi Hong, Qingsheng Ren, Jin Zeng |
| 2005 | GECCO | Genetic drift in univariate marginal distribution algorithm. | Yi Hong, Qingsheng Ren, Jin Zeng |
| 2005 | ICTAI | Convergence of Estimation of Distribution Algorithms in Optimization of Additively Noisy Fitness Functions. | Yi Hong, Qingsheng Ren, Jin Zeng, Yuchou Chang |
| 2004 | CIS | History Information Based Optimization of Additively Decomposed Function with Constraints. | Qingsheng Ren, Jin Zeng, Feihu Qi |
| 2004 | ISNN | Modelling the Supercritical Fluid Extraction of Lycopene from Tomato Paste Waste Using Neuro-Fuzzy Approaches. | Simon X. Yang, Weiren Shi, Jin Zeng |