Qiao Jin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 30

Top Topics

Programming Tool

Question Answering

Top Venues

IDC (Extended Abstracts)

Publications

Xinyuan Wang, Qian Xing, Qiao Jin, Danli Wang
"Be a Lighting Programmer": Supporting Children Collaborative Learning through Tangible Programming System. Int. J. Hum. Comput. Interact. 40 (10) (2024)
Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
Prioritizing Safeguarding Over Autonomy: Risks of LLM Agents for Science. CoRR (2024)
Yifan Yang, Xiaoyu Liu, Qiao Jin, Furong Huang, Zhiyong Lu
Unmasking and Quantifying Racial Bias of Large Language Models in Medical Report Generation. CoRR (2024)
Benjamin Hou, Qingqing Zhu, Tejas Sudarshan Mathai, Qiao Jin, Zhiyong Lu, Ronald M. Summers
Shadow and Light: Digitally Reconstructed Radiographs for Disease Classification. CoRR (2024)
Shubo Tian, Qiao Jin, Lana Yeganova, Po-Ting Lai, Qingqing Zhu, Xiuying Chen, Yifan Yang, Qingyu Chen, Won Kim, Donald C. Comeau, Rezarta Islamaj, Aadit Kapoor, Xin Gao, Zhiyong Lu
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health. CoRR (2023)
Qiao Jin, Andrew Shin, Zhiyong Lu
LADER: Log-Augmented DEnse Retrieval for Biomedical Literature Search. CoRR (2023)
Qiao Jin, Yifan Yang, Qingyu Chen, Zhiyong Lu
GeneGPT: Teaching Large Language Models to Use NCBI Web APIs. CoRR (2023)
Zhengyun Zhao, Qiao Jin, Sheng Yu
PMC-Patients: A Large-scale Dataset of Patient Notes and Relations Extracted from Case Reports in PubMed Central. CoRR (2022)
Qiao Jin, Zheng Yuan, Guangzhi Xiong, Qianlan Yu, Chuanqi Tan, Mosha Chen, Songfang Huang, Xiaozhong Liu, Sheng Yu
Biomedical Question Answering: A Comprehensive Review. CoRR (2021)
Dejie Chang, Mosha Chen, Chaozhen Liu, Liping Liu, Dongdong Li, Wei Li, Fei Kong, Bangchang Liu, Xiaobin Luo, Ji Qi, Qiao Jin, Bin Xu
DiaKG: an Annotated Diabetes Dataset for Medical Knowledge Graph Construction. CoRR (2021)
Qiao Jin, Chuanqi Tan, Mosha Chen, Ming Yan, Songfang Huang, Ningyu Zhang, Xiaozhong Liu
Aliababa DAMO Academy at TREC Precision Medicine 2020: State-of-the-art Evidence Retriever for Precision Medicine with Expert-in-the-loop Active Learning. TREC (2020)
Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
Predicting Clinical Trial Results by Implicit Evidence Integration. EMNLP (1) (2020)
Saba Kawas, Ye Yuan, Akeiylah DeWitt, Qiao Jin, Susanne Kirchner, Abigail Bilger, Ethan O. Grantham, Julie A. Kientz, Andrea Tartaro, Svetlana Yarosh
Another decade of IDC research: examining and reflecting on values and ethics. IDC (2020)
Qiao Jin, Chuanqi Tan, Mosha Chen, Xiaozhong Liu, Songfang Huang
Predicting Clinical Trial Results by Implicit Evidence Integration. CoRR (2020)
Qiao Jin, Yu Liu, Ye Yuan, Lana Yarosh, Evan Suma Rosenberg
VWorld: an immersive VR system for learning programming. IDC (Extended Abstracts) (2020)
Yong Jin, Qiao Jin, Xusheng Yang
Knowledge Graph Construction of Personal Relationships. ICAIS (1) (2020)
Qiao Jin, Haoyang Ding, Linfeng Li, Haitao Huang, Lei Wang, Jun Yan
Tackling MeSH Indexing Dataset Shift with Time-Aware Concept Embedding Learning. DASFAA (3) (2020)
Xiaozhou Deng, Qiao Jin, Danli Wang, Fang Sun
ARCat: A Tangible Programming Tool for DFS Algorithm Teaching. IDC (2019)
Qiao Jin, Jinling Liu, Xinghua Lu
Deep Contextualized Biomedical Abbreviation Expansion. CoRR (2019)
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
PubMedQA: A Dataset for Biomedical Research Question Answering. EMNLP/IJCNLP (1) (2019)
Qiao Jin, Bhuwan Dhingra, Zhengping Liu, William W. Cohen, Xinghua Lu
PubMedQA: A Dataset for Biomedical Research Question Answering. CoRR (2019)
Qiao Jin, Bhuwan Dhingra, William W. Cohen, Xinghua Lu
Probing Biomedical Embeddings from Language Models. CoRR (2019)
Haohan Wang, Xiang Liu, Yifeng Tao, Wenting Ye, Qiao Jin, William W. Cohen, Eric P. Xing
Automatic Human-like Mining and Constructing Reliable Genetic Association Database with Deep Reinforcement Learning. PSB (2019)
Qiao Jin, Jinling Liu, Xinghua Lu
Deep Contextualized Biomedical Abbreviation Expansion. BioNLP@ACL (2019)
Xiaozhou Deng, Danli Wang, Qiao Jin
CoProStory: A Tangible Programming Tool for Children's Collaboration. CSCL (2019)
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Neural Models for Reasoning over Multiple Mentions Using Coreference. NAACL-HLT (2) (2018)
Bhuwan Dhingra, Qiao Jin, Zhilin Yang, William W. Cohen, Ruslan Salakhutdinov
Neural Models for Reasoning over Multiple Mentions using Coreference. CoRR (2018)
Qiao Jin, Danli Wang, Fang Sun
TanCreator: A Tangible Tool for Children to Create Augmented Reality Games. UbiComp/ISWC Adjunct (2018)
Xiaozhou Deng, Danli Wang, Qiao Jin
TLogic: A Tangible Programming Tool to Help Children Solve Problems. Edutainment (2018)
Qiao Jin, Danli Wang, Xiaozhou Deng, Nan Zheng, Steve C. Chiu
AR-maze: a tangible programming tool for children based on AR technology. IDC (2018)
Qiao Jin, Jiayi Duan, Shobha Vasudevan, Michael Bailey
Packer classifier based on PE header information. HotSoS (2015)
Hong-Nan Li, Qiao Jin, Gangbing Song, Guo-Xin Wang
TLCD Semi-active Control Methodology of Fuzzy Neural Network for Eccentric Buildings. ICNC (3) (2005)