CTR Prediction for DSP with Improved Cube Factorization Model from Historical Bidding Log. - Lili Shan; Lei Lin 001; Di Shao; Xiaolong Wang 001 (ICONIP (3), 2014)

RISE: a database of RNA interactome from sequencing experiments. - Jing Gong; Di Shao; Kui Xu 004; Zhipeng Lu 002; Zhi John Lu; Yu-Cheng T. Yang; Qiangfeng Cliff Zhang (Nucleic Acids Res., 2018)

Advances and challenges towards the study of RNA-RNA interactions in a transcriptome-wide scale. - Jing Gong; Yanyan Ju; Di Shao; Qiangfeng Cliff Zhang (Quant. Biol., 2018)

Edge4Real: A Cost-Effective Edge Computing based Human Behaviour Recognition System for Human-Centric Software Engineering. - Di Shao; Xiao Liu 004; Ben Cheng; Owen Wang; Thuong N. Hoang (ASE, 2020)

RDb2C2: an improved method to identify the residue-residue pairing in β strands. - Di Shao; Wenzhi Mao; Yaoguang Xing; Haipeng Gong (BMC Bioinform., 2020)

Edge4Emotion: An Edge Computing based Multi-source Emotion Recognition Platform for Human-Centric Software Engineering. - Ben Cheng; Owen Wang; Di Shao; Chetan Arora 002; Thuong N. Hoang; Xiao Liu 004 (CCGRID, 2021)

Energy-aware decision-making for dynamic task migration in MEC-based unmanned aerial vehicle delivery system. - Rui Li 013; Xuejun Li 001; Jia Xu 010; Frank Jiang 001; Zhao-hong Jia; Di Shao; Lei Pan 002; Xiao Liu 004 (Concurr. Comput. Pract. Exp., 2021)

Weighted Point Cloud Normal Estimation. - Weijia Wang; Xuequan Lu; Di Shao; Xiao Liu 004; Richard Dazeley; Antonio Robles-Kelly; Wei Pan 010 (ICME, 2023)

Improving the robustness of machine reading comprehension via contrastive learning. - Jianzhou Feng 002; Jiawei Sun; Di Shao; Jinman Cui (Appl. Intell., 2023)

3D Intracranial Aneurysm Classification and Segmentation via Unsupervised Dual-Branch Learning. - Di Shao; Xuequan Lu; Xiao Liu 004 (IEEE J. Biomed. Health Informatics, 2023)

English Translation proofreading System based on Information Technology: Construction of semantic Ontology Translation Model. - Rui Ma; Di Shao (Appl. Artif. Intell., 2023)

3D Face Recognition on Low-Quality Data via Dual Contrastive Learning. - Yaping Jing; Di Shao; Shang Gao 003; Xuequan Lu (DICTA, 2024)

Contrastive Learning with Self-reconstruction for 3D Intracranial Aneurysm Detection. - Di Shao; Xiao Liu 004; Imran Razzak; Nilmini Wickramasinghe; Xuequan Lu (MCHM@MM, 2024)

Multi-task Learning for Intelligent Portrait Composition: Deep Residual Networks and Human Pose Estimation. - Di Shao (Informatica (Slovenia), 2025)

TriCI: Triple Cross-Intra Branch Contrastive Learning for Point Cloud Analysis. - Di Shao; Xuequan Lu; Weijia Wang; Xiao Liu 004; Ajmal Saeed Mian (IEEE Trans. Vis. Comput. Graph., 2025)