Liangchen Liu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
11
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Surrogate Prompt Learning: Towards Efficient and Diverse Prompt Learning for Vision-Language Models. | Liangchen Liu, Nannan Wang, Xi Yang, Xinbo Gao, Tongliang Liu |
| 2024 | AAAI | Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis. | Xingyilang Yin, Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao |
| 2023 | ICIP | End to End Generative Meta Curriculum Learning for Medical Data Augmentation. | Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell |
| 2023 | ICIP | Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering. | Min Peng, Liangchen Liu, Zhenghao Li, Yu Shi, Xiangdong Zhou |
| 2023 | ICIP | Progressive Multi-View Fusion for 3D Human Pose Estimation. | Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi |
| 2023 | KDD | Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. | Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu |
| 2022 | IJCAI | Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. | Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang |
| 2022 | MICCAI | Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. | Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers |
| 2020 | MMSP | Auto-Encoder based Structured Dictinoary Learning. | Deyin Liu, Yuanbo Lin Wu, Liangchen Liu, Qichang Hu, Lin Qi |
| 2019 | CIKM | DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. | Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li |
| 2019 | DICTA | Deep Corrosion Assessment for Electrical Transmission Towers. | Teng Zhang, Liangchen Liu, Arnold Wiliem, Stephen Connor, Zelkjo Ilich, Eddie Van Der Draai, Brian C. Lovell |
| 2019 | ICIP | Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. | Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell |
| 2019 | ICIP | Cannygan: Edge-Preserving Image Translation with Disentangled Features. | Tianren Wang, Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell |
| 2018 | IJCAI | Integrating Demand Response and Renewable Energy In Wholesale Market. | Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu |
| 2016 | ICPR | Unsupervised automatic attribute discovery method via multi-graph clustering. | Liangchen Liu, Feiping Nie, Teng Zhang, Arnold Wiliem, Brian C. Lovell |
| 2016 | WACV | Automatic and quantitative evaluation of attribute discovery methods. | Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell |
| 2016 | WACV | Is alice chasing or being chased?: Determining subject and object of activities in videos. | Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell |
| 2014 | ICPR | Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories. | Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell |