Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Cheng-Ming Chiang; Hsien-Kai Kuo; Yu-Syuan Xu; Man-Yu Lee; Allen Lu; Chia-Ming Cheng; Chih-Cheng Chen; Jia-Ying Yong; Hong-Han Shuai; Wen-Huang Cheng; et al. (ECCV Workshops (3), 2022)

Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization. - Xiaochen Cai; Hengxing Cai; Boqing Zhu; Kele Xu; Weiwei Tu; Dawei Feng (ACM Multimedia, 2022)

VSM: A Versatile Semi-supervised Model for Multi-modal Cell Instance Segmentation. - Xiaochen Cai; Hengxing Cai; Kele Xu; Wei-Wei Tu; Wu-Jun Li (Cell Segmentation Challenge @ NeurIPS, 2022)

The Multi-modality Cell Segmentation Challenge: Towards Universal Solutions. - Jun Ma 016; Ronald Xie; Shamini Ayyadhury; Cheng Ge; Anubha Gupta; Ritu Gupta; Song Gu; Yao Zhang 010; Gihun Lee; Joonkee Kim; Wei Lou; Haofeng Li; et al. (CoRR, 2023)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (CoRR, 2024)

Uni-SMART: Universal Science Multimodal Analysis and Research Transformer. - Hengxing Cai; Xiaochen Cai; Shuwen Yang; Jiankun Wang 011; Lin Yao 003; Zhifeng Gao; Junhan Chang; Sihang Li 002; Mingjun Xu; Changxin Wang; Hongshuai Wang; Yongge Li; et al. (CoRR, 2024)

MolParser: End-to-end Visual Recognition of Molecule Structures in the Wild. - Xi Fang; Jiankun Wang 011; Xiaochen Cai; Shangqian Chen; Shuwen Yang; Lin Yao 003; Linfeng Zhang 002; Guolin Ke (CoRR, 2024)

SciLitLLM: How to Adapt LLMs for Scientific Literature Understanding. - Sihang Li 002; Jin Huang; Jiaxi Zhuang; Yaorui Shi; Xiaochen Cai; Mingjun Xu; Xiang Wang 010; Linfeng Zhang 002; Guolin Ke; Hengxing Cai (ICLR, 2025)

SciAssess: Benchmarking LLM Proficiency in Scientific Literature Analysis. - Hengxing Cai; Xiaochen Cai; Junhan Chang; Sihang Li 002; Lin Yao 003; Changxin Wang; Zhifeng Gao; Hongshuai Wang; Yongge Li; Mujie Lin; Shuwen Yang; Jiankun Wang 011; et al. (NAACL (Findings), 2025)

Uni-AIMS: AI-Powered Microscopy Image Analysis. - Yanhui Hong; Nan Wang; Zhiyi Xia; Haoyi Tao; Xi Fang; Yiming Li; Jiankun Wang 011; Peng Jin; Xiaochen Cai; Shengyu Li; Ziqi Chen; Zezhong Zhang; et al. (CoRR, 2025)