activity
20202023
most citedMedical Question Summarization with Entity-driven Contrastive Learning

15 citations · 30 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 2 cited

Causal Intervention for Abstractive Related Work Generation

Jiachang Liu, Qi Zhang, Chongyang Shi +3

Abstractive related work generation has attracted increasing attention in generating coherent related work that better helps readers grasp the background in the current research. H…

cs.SI2023★ 10 cited

Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees

Qi Zhang, Yayi Yang, Chongyang Shi +4

The rapid growth of social media has caused tremendous effects on information propagation, raising extreme challenges in detecting rumors. Existing rumor detection methods typicall…

cs.CL2023★ 15 cited

Medical Question Summarization with Entity-driven Contrastive Learning

Wenpeng Lu, Sibo Wei, Xueping Peng +3

By summarizing longer consumer health questions into shorter and essential ones, medical question-answering systems can more accurately understand consumer intentions and retrieve…

eess.IV2022★ 3 cited

Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation

Shuchao Pang, Anan Du, Mehmet A. Orgun +5

Automatic tumor or lesion segmentation is a crucial step in medical image analysis for computer-aided diagnosis. Although the existing methods based on Convolutional Neural Network…

cs.IR2020

Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations

Yan Zhao, Shoujin Wang, Yan Wang +1

Recommender systems have played an increasingly important role in providing users with tailored suggestions based on their preferences. However, the conventional offline recommende…