Evaluating Nugget Sizes of Spot Welds by Using Artificial Neural Network. - Yiming Tan; Ping Fang; Yong Zhang; Siqian Yang (Fuzzy Days, 1999)

Energy analysis for an executable program on a single computer based on BP neural network. - Yiming Tan; Guosun Zeng; Lihua Yu (J. Exp. Theor. Artif. Intell., 2013)

Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation. - Lilin Zhang; Zhen Weng; Wenyan Xiao; Jianyi Wan; Zhiming Chen; Yiming Tan; Maoxi Li; Mingwen Wang 001 (WMT, 2016)

Improving Machine Translation Quality Estimation with Neural Network Features. - Zhiming Chen; Yiming Tan; Chenlin Zhang; Qingyu Xiang; Lilin Zhang; Maoxi Li; Mingwen Wang (WMT, 2017)

Neural Post-Editing Based on Quality Estimation. - Yiming Tan; Zhiming Chen; Liu Huang; Lilin Zhang; Maoxi Li; Mingwen Wang (WMT, 2017)

Automatic Generation of Multiple-Choice Items for Prepositions Based on Word2vec. - Wenyan Xiao; Mingwen Wang 001; Chenlin Zhang; Yiming Tan; Zhiming Chen (ICPCSEE (2), 2018)

Radio network-aware edge caching for video delivery in MEC-enabled cellular networks. - Yiming Tan; Ce Han; Ming Luo; Xiang Zhou; Xing Zhang 001 (WCNC Workshops, 2018)

Experimental Evaluation of Modern TCP Variants in MEC-enabled Cellular Networks. - Zhi Wang; Yiming Tan; Xing Zhang 001 (WCSP, 2018)

Effect of Mn Addition on the Microstructures and Mechanical Properties of CoCrFeNiPd High Entropy Alloy. - Yiming Tan; Jinshan Li; Jun Wang 045; Hongchao Kou (Entropy, 2019)

MAKG: A Mobile Application Knowledge Graph for the Research of Cybersecurity. - Heng Zhou; Weizhuo Li; Buye Zhang; Qiu Ji; Yiming Tan; Chongning Na (CCKS, 2021)

Software Compilation Using FPGA Hardware: Register Allocation. - Yiming Tan; Aditya Diwakar; Jason Jagielo; Vincent John Mooney (MECO, 2023)

Incorporating Domain Knowledge Graph into Multimodal Movie Genre Classification with Self-Supervised Attention and Contrastive Learning. - Jiaqi Li; Guilin Qi; Chuanyi Zhang; Yongrui Chen 002; Yiming Tan; Chenlong Xia; Ye Tian (ACM Multimedia, 2023)

Can ChatGPT Replace Traditional KBQA Models? An In-Depth Analysis of the Question Answering Performance of the GPT LLM Family. - Yiming Tan; Dehai Min; Yu Li 021; Wenbo Li; Nan Hu; Yongrui Chen 002; Guilin Qi (ISWC, 2023)

Evaluation of ChatGPT as a Question Answering System for Answering Complex Questions. - Yiming Tan; Dehai Min; Yu Li 021; Wenbo Li; Nan Hu; Yongrui Chen 002; Guilin Qi (CoRR, 2023)

MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs. - Yiming Tan; Yongrui Chen 002; Guilin Qi; Weizhuo Li; Meng Wang 009 (Big Data Res., 2023)

CLRN: A reasoning network for multi-relation question answering over Cross-lingual Knowledge Graphs. - Yiming Tan; Xinyu Zhang; Yongrui Chen 002; Zafar Ali; Yuncheng Hua; Guilin Qi (Expert Syst. Appl., 2023)

Analysing trends in trading behaviour in financial markets using deep learning algorithms. - Yiming Tan (Int. J. Inf. Commun. Technol., 2024)

A large-scale mobile application knowledge graph for the research of cybersecurity: Construction and application. - Weizhuo Li; Heng Zhou; Yiming Tan; Weiqi Luo; Qiu Ji; Yuyang Bian (Eng. Appl. Artif. Intell., 2025)

VC-LLM: Automated Advertisement Video Creation from Raw Footage using Multi-modal LLMs. - Dongjun Qian; Kai Su; Yiming Tan; Qishuai Diao; Xian Wu; Chang Liu; Bingyue Peng; Zehuan Yuan (CoRR, 2025)

GainSight: Application-Guided Profiling for Composing Heterogeneous On-Chip Memories in AI Hardware Accelerators. - Peijing Li; Matthew Hung; Yiming Tan; Konstantin Hoßfeld; Jake Cheng Jiajun; Shuhan Liu; Lixian Yan; Xinxin Wang; H.-S. Philip Wong; Thierry Tambe (CoRR, 2025)

OpenGCRAM: An Open-Source Gain Cell Compiler Enabling Design-Space Exploration for AI Workloads. - Xinxin Wang; Lixian Yan; Shuhan Liu; Luke Upton; Zhuoqi Cai; Yiming Tan; Shengman Li; Koustav Jana; Peijing Li; Jesse Cirimelli-Low; Thierry Tambe; Matthew Guthaus; et al. (CoRR, 2025)