| 2026 | ACL | ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis. | Runkai Li, Jia Xiong, Xiuyuan He, Jieru Zhao, Jiaqi Lv, Haowen Fang, Lei Qi, Xi Wang |
| 2025 | ICML | Learngene Tells You How to Customize: Task-Aware Parameter Initialization at Flexible Scales. | Jiaze Xu, Shiyu Xia, Xu Yang, Jiaqi Lv, Xin Geng |
| 2025 | IWQoS | FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels. | Guanbo Wang, Yongheng Deng, Li Li, Yingjun Wu, Jiaqi Lv, Xinyi Li, Tuowei Wang, Yaoxue Zhang, Ju Ren |
| 2025 | MICCAI | Efficient Classification of Atypical vs. Normal Mitotic Figures Using LoRA-Fine-Tuned Foundation Models. | Esha Sadia Nasir, Jiaqi Lv, Mostafa Jahanifar, Shan E Ahmed Raza |
| 2024 | ICML | Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency. | Yangfan Liu, Jiaqi Lv, Xin Geng, Ning Xu |
| 2023 | CVPR | Towards Effective Visual Representations for Partial-Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Gang Niu, Xin Geng |
| 2023 | ICML | Progressive Purification for Instance-Dependent Partial Label Learning. | Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng |
| 2023 | ICML | Revisiting Pseudo-Label for Single-Positive Multi-Label Learning. | Biao Liu, Ning Xu, Jiaqi Lv, Xin Geng |
| 2023 | ICML | FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning. | Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng |
| 2022 | IJCAI | Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning. | Shiyu Xia, Jiaqi Lv, Ning Xu, Xin Geng |
| 2020 | ICML | Progressive Identification of True Labels for Partial-Label Learning. | Jiaqi Lv, Miao Xu, Lei Feng, Gang Niu, Xin Geng, Masashi Sugiyama |
| 2019 | AAAI | Partial Label Learning via Label Enhancement. | Ning Xu, Jiaqi Lv, Xin Geng |
| 2019 | IJCAI | Weakly Supervised Multi-Label Learning via Label Enhancement. | Jiaqi Lv, Ning Xu, RenYi Zheng, Xin Geng |
| 2017 | AAAI | Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation. | Peng Hou, Xin Geng, Zeng-Wei Huo, Jiaqi Lv |
| 2016 | CVPR | Deep Age Distribution Learning for Apparent Age Estimation. | Zeng-Wei Huo, Xu Yang, Chao Xing, Ying Zhou, Peng Hou, Jiaqi Lv, Xin Geng |