activity
20162023
most citedDeep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

64 citations · 67 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2023

PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage

Deguo Ma, Chen Li, Lin Qiao +5

Intracerebral hemorrhage is one of the diseases with the highest mortality and poorest prognosis worldwide. Spontaneous intracerebral hemorrhage (SICH) typically presents acutely,…

eess.IV2023

AATCT-IDS: A Benchmark Abdominal Adipose Tissue CT Image Dataset for Image Denoising, Semantic Segmentation, and Radiomics Evaluation

Zhiyu Ma, Chen Li, Tianming Du +11

Methods: In this study, a benchmark \emph{Abdominal Adipose Tissue CT Image Dataset} (AATTCT-IDS) containing 300 subjects is prepared and published. AATTCT-IDS publics 13,732 raw C…

eess.IV2023

ECPC-IDS:A benchmark endometrail cancer PET/CT image dataset for evaluation of semantic segmentation and detection of hypermetabolic regions

Dechao Tang, Tianming Du, Deguo Ma +5

Endometrial cancer is one of the most common tumors in the female reproductive system and is the third most common gynecological malignancy that causes death after ovarian and cerv…

cs.IR2021

Form 10-Q Itemization

Yanci Zhang, Tianming Du, Yujie Sun +2

The quarterly financial statement, or Form 10-Q, is one of the most frequently required filings for US public companies to disclose financial and other important business informati…

eess.IV2020★ 3 cited

Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging

Tianming Du, Honggang Zhang, Yuemeng Li +2

Deep learning in k-space has demonstrated great potential for image reconstruction from undersampled k-space data in fast magnetic resonance imaging (MRI). However, existing deep l…

cs.LG2016★ 64 cited

Deep Learning over Multi-field Categorical Data: A Case Study on User Response Prediction

Weinan Zhang, Tianming Du, Jun Wang

Predicting user responses, such as click-through rate and conversion rate, are critical in many web applications including web search, personalised recommendation, and online adver…