| 2026 | AAAI | HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment. | Ruijia Wu, Ping Chen, Fei Shen, Shaoan Zhao, Qiang Hui, Huanlin Gao, Ting Lu, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian |
| 2024 | IGARSS | A Multi-Temporal Remote Sensing Image Dataset for Building Change Detection in Chinese Regions. | Pengfei Chen, Ting Lu, Xinyan Li, Shaojie Li, Yihao Wu, Jian Xiao |
| 2024 | IGARSS | Consistency-Aware Customized Learning for Cross-Scene Hyperspectral Image Classification. | Kexing Ding, Ting Lu, Yuxin Fang, Shutao Li |
| 2023 | IJCNN | AutoDes: Few-Shot Named Entity Recognition with Class Descriptions. | Ting Lu, Yichun Hu, Guohua Liu, Qiubo Huang, Wenjing Guo, Shan Chang |
| 2023 | IJCNN | Improving Math Word Problems Solver with Logical Semantic Similarity. | Ting Lu, Haitao Jiang, Shan Chang, Guohua Liu |
| 2023 | IJCNN | Improving Relation Extraction by Entity-Level Contrastive Learning. | Ting Lu, Shengbiao Wang, Qiubo Huang, Wenjing Guo, Shan Chang, Guohua Liu |
| 2022 | ICPADS | Improving Federated Learning on Heterogeneous Data via Serial Pipeline Training and Global Knowledge Regularization. | Yiyang Luo, Ting Lu, Shan Chang, Bingyue Wang |
| 2022 | ICPR | An Efficient End-to-End 3D Voxel Reconstruction based on Neural Architecture Search. | Yongdong Huang, Yuanzhan Li, Xulong Cao, Siyu Zhang, Shen Cai, Ting Lu, Jie Wang, Yuqi Liu |
| 2022 | IGARSS | Cross-Layer Multi-Attention Guided Spectral-Spatial Classification of Hyperspectral Images. | Mengkai Liu, Wei Fu, Ting Lu |
| 2022 | IWCMC | A Short Survey on Future Research of AI and IoT Technologies. | Jie Tan, Xiubin Sha, Ting Lu, Bo Dai |
| 2021 | AAAI | Label Confusion Learning to Enhance Text Classification Models. | Biyang Guo, Songqiao Han, Xiao Han, Hailiang Huang, Ting Lu |
| 2021 | IJCNN | FA-GAL-ResNet: Lightweight Residual Network using Focused Attention Mechanism and Generative Adversarial Learning via Knowledge Distillation. | Hequn Yang, Ting Lu, Wenjing Guo, Shan Chang, Guohua Liu, Yiyang Luo |
| 2021 | PRICAI | Random Sparsity Defense Against Adversarial Attack. | Nianyan Hu, Ting Lu, Wenjing Guo, Qiubo Huang, Guohua Liu, Shan Chang, Jiafei Song, Yiyang Luo |
| 2019 | WCNC | Sieve: Lightweight Robust Regression on Private Sensory Data. | Shan Chang, Hang Chen, Chao Li, Hongzi Zhu, Ting Lu |
| 2019 | VR | Human Face Reconstruction under a HMD Occlusion. | Zhengfu Peng, Ting Lu, Zhaowen Chen, Xiangmin Xu, Shu Lin |
| 2019 | VCIP | Efficient Dual Attention Module for Real-Time Visual Tracking. | Yingsen Zeng, Xiaoqiang Guo, Haiying Wang, Mingjin Geng, Ting Lu |
| 2018 | IGARSS | Hyperspectral Band Selection Using Pair-Wise Constraint and Band-Wise Correlation. | Ting Lu, Shutao Li |
| 2018 | SECON | Lotus: Evolutionary Blind Regression over Noisy Crowdsourced Data. | Chao Li, Shan Chang, Hongzi Zhu, Hang Chen, Ting Lu |
| 2017 | IGARSS | Shadow detection in very high-resolution satellite images by extended random walker. | Yufan Huang, Xudong Kang, Shutao Li, Ting Lu, Hui Lin |
| 2017 | IGARSS | Gabor filtering based deep network for hyperspectral image classification. | Chengchao Li, Shutao Li, Xudong Kang, Ting Lu |
| 2017 | IGARSS | Iterative clustering based active learning for hyperspectral image classification. | Ting Lu, Shutao Li, Jn Atli Benediktsson |
| 2016 | GLOBECOM | Where Were You Yesterday: Privacy Risk of Published Anonymous Trajectories. | Shan Chang, Xiaoqiang Liu, Hongzi Zhu, Mianxiong Dong, Kaoru Ota, Ting Lu |
| 2016 | IGARSS | Decision fusion of pixel-level and superpixel-level hyperspectral image classifiers. | Ting Lu, Shutao Li, Leyuan Fang |
| 2015 | IGARSS | Gradient-guided sparse representation for hyperspectral image denoising. | Ting Lu, Shutao Li |
| 2012 | ICPR | Image matting with color and depth information. | Ting Lu, Shutao Li |
| 2008 | ICASSP | RLS-assisted cost reference particle filtering. | Ting Lu, Mnica F. Bugallo, Petar M. Djuric |
| 2007 | ICASSP | Multiple Particle Filtering. | Petar M. Djuric, Ting Lu, Mnica F. Bugallo |