| 2026 | IWQoS | FedPDR: Server-Side Post-Plateau Refinement for Federated Learning with Latent Diffusion. | Xiaowei Liu, Hui Wang, Huan Zhou, Zhenyu Zhang, Peng Sun, Qi Gao, Tingting Wu, Zhiwen Yu |
| 2025 | AAAI | KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering. | Tingting Wu, Zhendong Li, Zhibin Gu, Jiazheng Yuan, Songhe Feng |
| 2025 | ICCV | Blind Noisy Image Deblurring Using Residual Guidance Strategy. | Heyan Liu, Jianing Sun, Jun Liu, Xi-Le Zhao, Tingting Wu, Tieyong Zeng |
| 2025 | ICECCS | CONTAST: Graph Embedding Based Fault Localization Integrating AST and Context-Awareness. | Haodong He, Tingting Wu, Qi Jin, Zuohua Ding |
| 2025 | ICPADS | Towards Adaptive Multi-Object Fuzzing: A Map-Aware Reinforcement Approach for Autonomous Driving Systems. | Qi Jin, Tingting Wu, Zuohua Ding, Yongkui Xu, Yunwei Dong |
| 2025 | SMC | Multi-Agent Cooperative Perception: A Structural Evaluation Framework for Autonomous Systems. | Tingting Wu, Jin Wang, Cong Yang, Junqi Xu |
| 2024 | AAAI | Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering. | Tingting Wu, Songhe Feng, Jiazheng Yuan |
| 2024 | ICANN | DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation. | Haoran Yang, Longyi Tang, Tingting Wu, Binyu Yan |
| 2023 | ACL | NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2023 | HealthCom | Lightweight Bidirectional Differential Privacy Protection Method for Privacy-Sensitive Data in Medical Internet of Things. | Puning Zhang, Tingting Wu, Jing Yang, Jing Wang, Zhen Zhang |
| 2023 | TrustCom | Communication Efficient Federated Learning Based on Combination of Structural Sparsification and Hybrid Quantization Sensing. | Tingting Wu, Wei Yu, Manxue Guo, Wenjing Nie, Zimeng Jia, Lun Xin |
| 2022 | EMNLP | STGN: an Implicit Regularization Method for Learning with Noisy Labels in Natural Language Processing. | Tingting Wu, Xiao Ding, Minji Tang, Hao Zhang, Bing Qin, Ting Liu |
| 2022 | ICPP | Aperiodic Local SGD: Beyond Local SGD. | Hao Zhang, Tingting Wu, Siyao Cheng, Jie Liu |
| 2019 | MICCAI | Learning Human Cognition via fMRI Analysis Using 3D CNN and Graph Neural Network. | Xiuyan Ni, Tian Gao, Tingting Wu, Jin Fan, Chao Chen |
| 2018 | ICMLC | Knowledge Updating Method Based On Approximate Reduction Under Dominance Relations. | Yan Li, Li Zhang, Tingting Wu, Junfen Chen |
| 2018 | MICCAI | A Region-of-Interest-Reweight 3D Convolutional Neural Network for the Analytics of Brain Information Processing. | Xiuyan Ni, Zhennan Yan, Tingting Wu, Jin Fan, Chao Chen |
| 2017 | ICFEM | Integration of Metamorphic Testing with Program Repair Methods Based on Adaptive Search Strategies and Program Equivalence. | Tingting Wu, Yunwei Dong, Tsong Yueh Chen, Mingyue Jiang, Man Fai Lau, Fei-Ching Kuo, Sebastian Ng |
| 2014 | GLOBECOM | Quadtree-based optimal path routing with the smallest routing table size. | Tingting Wu, Chi Zhang, Nenghai Yu, Miao Pan |
| 2006 | PRICAI | Automatic Multi-level Summarizations Generation Based on Basic Semantic Unit for Sports Video. | Jianyun Chen, Xinyu Zhao, Duan Miyi, Tingting Wu, Songyang Lao |