| 2026 | AAAI | GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection. | Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo |
| 2024 | CVPR | GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes. | Haozhe Lin, Chunyu Wei, Li He, Yuchen Guo, Yunqi Zhao, Shanglong Li, Lu Fang |
| 2024 | CVPR | When Visual Grounding Meets Gigapixel-Level Large-Scale Scenes: Benchmark and Approach. | M. Tao, Bing Bai, Haozhe Lin, Heyuan Wang, Yu Wang, Lin Luo, Lu Fang |
| 2024 | ECAI | SaccadeMOT: Enhancing Object Detection and Tracking in Gigapixel Images via Scale-Aware Density Estimation. | Wenxi Li, Ruxin Zhang, Haozhe Lin, Yuchen Guo, Chao Ma, Xiaokang Yang |
| 2023 | CVPR | DartBlur: Privacy Preservation with Detection Artifact Suppression. | Baowei Jiang, Bing Bai, Haozhe Lin, Yu Wang, Yuchen Guo, Lu Fang |
| 2023 | CVPR | Crowd3D: Towards Hundreds of People Reconstruction from a Single Image. | Hao Wen, Jing Huang, Huili Cui, Haozhe Lin, Yu-Kun Lai, Lu Fang, Kun Li |
| 2023 | ICCV | RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. | Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang |
| 2021 | ICWS | Service Recommendation for Composition Creation based on Collaborative Attention Convolutional Network. | Ruyu Yan, Yushun Fan, Jia Zhang, Junqi Zhang, Haozhe Lin |
| 2021 | WWW | REST: Reciprocal Framework for Spatiotemporal-coupled Predictions. | Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai |
| 2020 | ICWS | A-HSG: Neural Attentive Service Recommendation based on High-order Social Graph. | Chunyu Wei, Yushun Fan, Jia Zhang, Haozhe Lin |
| 2018 | ICWS | PRNN: Piecewise Recurrent Neural Networks for Predicting the Tendency of Services Invocation. | Haozhe Lin, Yushun Fan, Jia Zhang, Bing Bai |