| 2026 | AAAI | Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation. | Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang |
| 2026 | AAAI | TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning. | Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang |
| 2025 | ICCV | Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding. | Nuoye Xiong, Anqi Dong, Ning Wang, Cong Hua, Guangming Zhu, Lin Mei, Peiyi Shen, Liang Zhang |
| 2025 | ICML | OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. | Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang |
| 2024 | ICML | ReconBoost: Boosting Can Achieve Modality Reconcilement. | Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang |
| 2022 | IJCNN | Spatial Parsing and Dynamic Temporal Pooling networks for Human-Object Interaction detection. | Hongsheng Li, Guangming Zhu, Wu Zhen, Lan Ni, Peiyi Shen, Liang Zhang, Ning Wang, Cong Hua |
| 2021 | MICCAI | Knee Cartilages Segmentation Based on Multi-scale Cascaded Neural Networks. | Junrui Liu, Cong Hua, Liang Zhang, Ping Li, Xiaoyuan Lu |