activity
20192026
most citedInterpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions

59 citations · 67 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2026

Search-R2: Enhancing Search-Integrated Reasoning via Actor-Refiner Collaboration

Bowei He, Minda Hu, Zenan Xu +7

Search-integrated reasoning enables language agents to transcend static parametric knowledge by actively querying external sources. However, training these agents via reinforcement…

cs.CL2025★ 1 cited

Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Prompting

Jiyue Jiang, Pengan Chen, Jiuming Wang +13

Large language models (LLMs) have become important tools in solving biological problems, offering improvements in accuracy and adaptability over conventional methods. Several bench…

cs.CL2024

SeRTS: Self-Rewarding Tree Search for Biomedical Retrieval-Augmented Generation

Minda Hu, Licheng Zong, Hongru Wang +6

Large Language Models (LLMs) have shown great potential in the biomedical domain with the advancement of retrieval-augmented generation (RAG). However, existing retrieval-augmented…

q-bio.QM2022★ 1 cited

ProNet DB: A proteome-wise database for protein surface property representations and RNA-binding profiles

Junkang Wei, Jin Xiao, Siyuan Chen +3

The rapid growth in the number of experimental and predicted protein structures and more complicated protein structures challenge users in computational biology for utilizing the s…

q-bio.QM2022★ 59 cited

Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions

Jiayang Chen, Zhihang Hu, Siqi Sun +9

Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations. Th…

cs.LG2021★ 3 cited

HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides

Qinze Yu, Zhihang Dong, Xingyu Fan +2

Identifying the targets of an antimicrobial peptide is a fundamental step in studying the innate immune response and combating antibiotic resistance, and more broadly, precision me…

q-bio.BM2021★ 3 cited

Protein-RNA interaction prediction with deep learning: Structure matters

Junkang Wei, Siyuan Chen, Licheng Zong +2

Protein-RNA interactions are of vital importance to a variety of cellular activities. Both experimental and computational techniques have been developed to study the interactions.…

cs.CV2019

Model Adaption Object Detection System for Robot

Jingwen Fu, Licheng Zong, Yinbing Li +3

Object detection for robot guidance is a crucial mission for autonomous robots, which has provoked extensive attention for researchers. However, the changing view of robot movement…