Qianqian Xie

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 88

Top Topics

Biomedical Text

Hierarchical Reinforcement Learning

Extractive Summarization

Top Venues

Publications

Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Zeping Yu, Sophia Ananiadou
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. CoRR (2024)
Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, Qianqian Xie
No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks. CoRR (2024)
Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard Hovy
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information. CoRR (2024)
Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, Yijing Xu, Haoqiang Kang, Ziyan Kuang, Chenhan Yuan, Kailai Yang, Zheheng Luo, Tianlin Zhang, Zhiwei Liu, Guojun Xiong, Zhiyang Deng, Yuechen Jiang, Zhiyuan Yao, Haohang Li, Yangyang Yu, Gang Hu, Jiajia Huang, Xiao-Yang Liu, Alejandro Lopez-Lira, Benyou Wang, Yanzhao Lai, Hao Wang, Min Peng, Sophia Ananiadou, Jimin Huang
The FinBen: An Holistic Financial Benchmark for Large Language Models. CoRR (2024)
Benyou Wang, Qianqian Xie, Jiahuan Pei, Zhihong Chen, Prayag Tiwari, Zhao Li, Jie Fu
Pre-trained Language Models in Biomedical Domain: A Systematic Survey. ACM Comput. Surv. 56 (3) (2024)
Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. WWW (2024)
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. CoRR (2024)
Zheheng Luo, Lei Liu, Sophia Ananiadou, Qianqian Xie
Graph Contrastive Topic Model. Expert Syst. Appl. 255 (2024)
Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Rong Liu, Zhenyu Cui, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, Qianqian Xie
FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making. CoRR (2024)
Jennifer Bishop, Sophia Ananiadou, Qianqian Xie
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. LREC/COLING (2024)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Factual consistency evaluation of summarization in the Era of large language models. Expert Syst. Appl. 254 (2024)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models. CoRR (2024)
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou
MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. WWW (2024)
Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, Sophia Ananiadou
EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis. KDD (2024)
Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, Sophia Ananiadou
SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content. SIGIR (2024)
Kailai Yang, Zhiwei Liu, Qianqian Xie, Tianlin Zhang, Nirui Song, Jimin Huang, Ziyan Kuang, Sophia Ananiadou
MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models. CoRR (2024)
Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang
Enhancing Content-based Recommendation via Large Language Model. CoRR (2024)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Factual Consistency Evaluation of Summarisation in the Era of Large Language Models. CoRR (2024)
Zheheng Luo, Chenhan Yuan, Qianqian Xie, Sophia Ananiadou
Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams. CoRR (2024)
Chenhan Yuan, Qianqian Xie, Sophia Ananiadou
Temporal relation extraction with contrastive prototypical sampling. Knowl. Based Syst. 286 (2024)
Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, Jimin Huang, Qianqian Xie
Dólares or Dollars? Unraveling the Bilingual Prowess of Financial LLMs Between Spanish and English. KDD (2024)
Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. CoRR (2024)
Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Kuttichi Keloth, Xingyu Zhou, Huan He, Lucila Ohno-Machido, Yonghui Wu, Hua Xu, Jiang Bian
Me LLaMA: Foundation Large Language Models for Medical Applications. CoRR (2024)
Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, Jimin Huang
HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy. ACL (1) (2024)
Qianqian Xie, Prayag Tiwari, Sophia Ananiadou
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, Jimin Huang
The Wall Street Neophyte: A Zero-Shot Analysis of ChatGPT Over MultiModal Stock Movement Prediction Challenges. CoRR (2023)
Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou
Graph Contrastive Topic Model. CoRR (2023)
Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. CoRR (2023)
Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
A scoping review on multimodal deep learning in biomedical images and texts. J. Biomed. Informatics 146 (2023)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization. CoRR (2023)
Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, Min Peng
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning. CoRR (2023)
Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR (2023)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. CoRR (2023)
Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, Yifan Peng
A scoping review on multimodal deep learning in biomedical images and texts. CoRR (2023)
Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. CoRR (2023)
Jianquan Li, Xiangbo Wu, Xiaokang Liu, Qianqian Xie, Prayag Tiwari, Benyou Wang
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk. ACL (1) (2023)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. WWW (2023)
Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin
Overview of the BioLaySumm 2023 Shared Task on Lay Summarization of Biomedical Research Articles. CoRR (2023)
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang
PIXIU: A Comprehensive Benchmark, Instruction Dataset and Large Language Model for Finance. NeurIPS (2023)
Chenhan Yuan, Qianqian Xie, Sophia Ananiadou
Zero-shot Temporal Relation Extraction with ChatGPT. BioNLP@ACL (2023)
Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, Hao Wang
LAiW: A Chinese Legal Large Language Models Benchmark (A Technical Report). CoRR (2023)
Chenhan Yuan, Qianqian Xie, Sophia Ananiadou
Zero-shot Temporal Relation Extraction with ChatGPT. CoRR (2023)
Qianqian Xie, Ludo Waltman
A comparison of citation-based clustering and topic modeling for science mapping. CoRR (2023)
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou
Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP (2023)
Tomas Goldsack, Zheheng Luo, Qianqian Xie, Carolina Scarton, Matthew Shardlow, Sophia Ananiadou, Chenghua Lin
BioLaySumm 2023 Shared Task: Lay Summarisation of Biomedical Research Articles. BioNLP@ACL (2023)
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. CoRR (2023)
Jennifer Bishop, Qianqian Xie, Sophia Ananiadou
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. CoRR (2023)
Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, Jimin Huang
PIXIU: A Large Language Model, Instruction Data and Evaluation Benchmark for Finance. CoRR (2023)
Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Sophia Ananiadou
MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. CoRR (2023)
Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. KDD (2023)
Zhibin Lu, Qianqian Xie, Benyou Wang, Jian-Yun Nie
Word Grounded Graph Convolutional Network. CoRR (2023)
Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Alejandro Lopez-Lira, Hao Wang
Empowering Many, Biasing a Few: Generalist Credit Scoring through Large Language Models. CoRR (2023)
Qianqian Xie, Zheheng Luo, Benyou Wang, Sophia Ananiadou
A Survey on Biomedical Text Summarization with Pre-trained Language Model. CoRR (2023)
Qianqian Xie, Jennifer Bishop, Prayag Tiwari, Sophia Ananiadou
Pre-trained language models with domain knowledge for biomedical extractive summarization. Knowl. Based Syst. 252 (2022)
Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING (2022)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Readability Controllable Biomedical Document Summarization. EMNLP (Findings) (2022)
Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, Jian-Yun Nie
Graph Neural Collaborative Topic Model for Citation Recommendation. ACM Trans. Inf. Syst. 40 (3) (2022)
Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. CoRR (2022)
Benyou Wang, Xiangbo Wu, Xiaokang Liu, Jianquan Li, Prayag Tiwari, Qianqian Xie
Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk. CoRR (2022)
Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. EMNLP (Findings) (2022)
Xin Li, Qianqian Xie, Lucheng Huang
Identifying the Development Trends of Emerging Technologies Using Patent Analysis and Web News Data Mining: The Case of Perovskite Solar Cell Technology. IEEE Trans. Engineering Management 69 (6) (2022)
Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, Min Peng
SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction. CoRR (2022)
Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng
DGR: Decomposition Graph Reconstruction for Question Understanding. IJCNN (2022)
Jennifer Bishop, Qianqian Xie, Sophia Ananiadou
GenCompareSum: a hybrid unsupervised summarization method using salience. BioNLP@ACL (2022)
Zheheng Luo, Qianqian Xie, Sophia Ananiadou
Readability Controllable Biomedical Document Summarization. CoRR (2022)
Qianqian Xie, Prayag Tiwari, Deepak Gupta, Jimin Huang, Min Peng
Neural variational sparse topic model for sparse explainable text representation. Inf. Process. Manag. 58 (5) (2021)
Benyou Wang, Qianqian Xie, Jiahuan Pei, Prayag Tiwari, Zhao Li, Jie Fu
Pre-trained Language Models in Biomedical Domain: A Systematic Survey. CoRR (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng
Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. ACL/IJCNLP (Findings) (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie
Inductive Topic Variational Graph Auto-Encoder for Text Classification. NAACL-HLT (2021)
Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie
Graph Topic Neural Network for Document Representation. WWW (2021)
Wang Gao, Min Peng, Hua Wang, Yanchun Zhang, Weiguang Han, Gang Hu, Qianqian Xie
Generation of topic evolution graphs from short text streams. Neurocomputing 383 (2020)
Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen
MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning. CoRR (2020)
Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, Hua Wang
MSReNet: Multi-step Reformulation for Open-Domain Question Answering. NLPCC (2) (2020)
Gang Hu, Min Peng, Yihan Zhang, Qianqian Xie, Mengting Yuan
Neural joint attention code search over structure embeddings for software Q&A sites. J. Syst. Softw. 170 (2020)
Weiguang Han, Min Peng, Qianqian Xie, Gang Hu, Wang Gao, Hua Wang, Yanchun Zhang, Zuopeng Liu
DTC: Transfer learning for commonsense machine comprehension. Neurocomputing 396 (2020)
Gang Hu, Min Peng, Yihan Zhang, Qianqian Xie, Wang Gao, Mengting Yuan
Unsupervised software repositories mining and its application to code search. Softw. Pract. Exp. 50 (3) (2020)
Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, Haiqing Chen
A Two-stage Conversational Query Rewriting Model with Multi-task Learning. WWW (Companion Volume) (2020)
Qianqian Xie, Yan Jia, Bo-Qing Dong
Large time decay of weak solutions for the 2D Oldroyd-B model of non-Newtonian flows. Appl. Math. Lett. 108 (2020)
Wang Gao, Min Peng, Hua Wang, Yanchun Zhang, Qianqian Xie, Gang Tian
Incorporating word embeddings into topic modeling of short text. Knowl. Inf. Syst. 61 (2) (2019)
Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. IJCNN (2019)
Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Gang Tian
Bayesian Sparse Topical Coding. IEEE Trans. Knowl. Data Eng. 31 (6) (2019)
Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. ICDM (2019)
Min Peng, Hongliang Shi, Qianqian Xie, Yihan Zhang, Hua Wang, Zhaoyunfei Li, Jianming Yong
Block Bayesian Sparse Topical Coding. CSCWD (2018)
Min Peng, Dian Chen, Qianqian Xie, Yanchun Zhang, Hua Wang, Gang Hu, Wang Gao, Yihan Zhang
Topic-Net Conversation Model. WISE (1) (2018)
Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian
Neural Sparse Topical Coding. ACL (1) (2018)
Min Peng, Wang Gao, Hua Wang, Yanchun Zhang, Jiajia Huang, Qianqian Xie, Gang Hu, Gang Tian
Parallelization of Massive Textstream Compression Based on Compressed Sensing. ACM Trans. Inf. Syst. 36 (2) (2017)
Min Peng, Xinyuan Dai, Kai Zhang, Guanyin Zeng, Jiahui Zhu, Shuang Ouyang, Qianqian Xie, Gang Tian
KPCA-WT: An Efficient Framework for High Quality Microblog Extraction in Time-Frequency Domain. WAIM (2) (2016)
Min Peng, Qianqian Xie, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Jimin Huang, Gang Tian
Sparse Topical Coding with Sparse Groups. WAIM (1) (2016)
Qianqian Xie, Dingfang Li, Wen Zhang
基于集成学习的离子通道药物靶点预测 (Predicting Potential Drug Targets from Ion Channel Proteins Based on Ensemble Learning). 计算机科学 42 (4) (2015)
Qianqian Xie, Dingfang Li, Wen Zhang
两种基于树结构的基因选择算法 (Two Novel Tree Structure-based Methods for Gene Selection). 计算机科学 42 (7) (2015)