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2020 – today
- 2024
[j21]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): 55:1-55:52 (2024)- [j20]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Factual consistency evaluation of summarization in the Era of large language models. Expert Syst. Appl. 254: 124456 (2024) - [j19]Zheheng Luo, Lei Liu, Sophia Ananiadou, Qianqian Xie:
Graph Contrastive Topic Model. Expert Syst. Appl. 255: 124631 (2024) - [j18]Lei Liu, Qianqian Xie, Weidong Wen, Jiahui Zhu, Min Peng:
Edge contrastive learning for link prediction. Inf. Process. Manag. 61(6): 103847 (2024) - [j17]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Temporal relation extraction with contrastive prototypical sampling. Knowl. Based Syst. 286: 111410 (2024) - [j16]Qianqian Xie, Prayag Tiwari, Sophia Ananiadou:
Knowledge-Enhanced Graph Topic Transformer for Explainable Biomedical Text Summarization. IEEE J. Biomed. Health Informatics 28(4): 1836-1847 (2024) - [c32]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: 1707-1725 - [c31]Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. CIKM 2024: 4153-4157 - [c30]Jennifer Bishop, Sophia Ananiadou, Qianqian Xie:
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. LREC/COLING 2024: 10777-10789 - [c29]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: 5487-5496 - [c28]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: 6236-6246 - [c27]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: 1136-1141 - [c26]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. WWW 2024: 1963-1974 - [c25]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: 4489-4500 - [i47]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 abs/2401.08508 (2024) - [i46]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 abs/2402.07405 (2024) - [i45]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 abs/2402.12659 (2024) - [i44]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 abs/2402.12749 (2024) - [i43]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models. CoRR abs/2402.13498 (2024) - [i42]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Factual Consistency Evaluation of Summarisation in the Era of Large Language Models. CoRR abs/2402.13758 (2024) - [i41]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 abs/2403.05574 (2024) - [i40]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 abs/2403.06249 (2024) - [i39]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 abs/2403.17141 (2024) - [i38]Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang:
Enhancing Content-based Recommendation via Large Language Model. CoRR abs/2404.00236 (2024) - [i37]Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine de Kock, Sophia Ananiadou, Eduard H. Hovy:
RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information. CoRR abs/2406.11093 (2024) - [i36]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 abs/2406.11328 (2024) - [i35]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 abs/2407.06567 (2024) - [i34]Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, Hao Wang:
HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection. CoRR abs/2408.02927 (2024) - [i33]Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, Shunian Chen, Yifei Zhang, Lihang Shen, Daniel S. Kim, Zhiwei Liu, Zheheng Luo, Yangyang Yu, Yupeng Cao, Zhiyang Deng, Zhiyuan Yao, Haohang Li, Duanyu Feng, Yongfu Dai, VijayaSai Somasundaram, Peng Lu, Yilun Zhao, Yitao Long, Guojun Xiong, Kaleb Smith, Honghai Yu, Yanzhao Lai, Min Peng, Jianyun Nie, Jordan W. Suchow, Xiao-Yang Liu, Benyou Wang, Alejandro Lopez-Lira, Jimin Huang, Sophia Ananiadou:
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications. CoRR abs/2408.11878 (2024) - [i32]Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, Sophia Ananiadou:
Selective Preference Optimization via Token-Level Reward Function Estimation. CoRR abs/2408.13518 (2024) - [i31]Jiasheng Zhang, Jialin Chen, Ali Maatouk, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Jie Shao, Hua Xu, Rex Ying:
LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs. CoRR abs/2409.12177 (2024) - [i30]Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
FMDLlama: Financial Misinformation Detection based on Large Language Models. CoRR abs/2409.16452 (2024) - [i29]Aidan Gilson, Xuguang Ai, Qianqian Xie, Sahana Srinivasan, Krithi Pushpanathan, Maxwell B. Singer, Jimin Huang, Hyunjae Kim, Erping Long, Peixing Wan, Luciano V. Del Priore, Lucila Ohno-Machado, Hua Xu, Dianbo Liu, Ron A. Adelman, Yih-Chung Tham, Qingyu Chen:
Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model. CoRR abs/2410.03740 (2024) - [i28]Jiajia Huang, Haoran Zhu, Chao Xu, Tianming Zhan, Qianqian Xie, Jimin Huang:
AuditWen:An Open-Source Large Language Model for Audit. CoRR abs/2410.10873 (2024) - [i27]Yuzhe Yang, Yifei Zhang, Yan Hu, Yilin Guo, Ruoli Gan, Yueru He, Mingcong Lei, Xiao Zhang, Haining Wang, Qianqian Xie, Jimin Huang, Honghai Yu, Benyou Wang:
UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models. CoRR abs/2410.14059 (2024) - 2023
- [j15]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: 104482 (2023) - [c24]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: 7581-7596 - [c23]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. BioNLP@ACL 2023: 92-102 - [c22]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: 468-477 - [c21]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, Sophia Ananiadou:
Towards Interpretable Mental Health Analysis with Large Language Models. EMNLP 2023: 6056-6077 - [c20]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: 4123-4134 - [c19]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 - [c18]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. WWW 2023: 1843-1852 - [i26]Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang:
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. CoRR abs/2301.10724 (2023) - [i25]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization. CoRR abs/2301.11223 (2023) - [i24]Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang:
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR abs/2303.08335 (2023) - [i23]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
ChatGPT as a Factual Inconsistency Evaluator for Abstractive Text Summarization. CoRR abs/2303.15621 (2023) - [i22]Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, Min Peng:
Mastering Pair Trading with Risk-Aware Recurrent Reinforcement Learning. CoRR abs/2304.00364 (2023) - [i21]Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou:
On the Evaluations of ChatGPT and Emotion-enhanced Prompting for Mental Health Analysis. CoRR abs/2304.03347 (2023) - [i20]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 abs/2304.05351 (2023) - [i19]Chenhan Yuan, Qianqian Xie, Sophia Ananiadou:
Zero-shot Temporal Relation Extraction with ChatGPT. CoRR abs/2304.05454 (2023) - [i18]Qianqian Xie, Zheheng Luo, Benyou Wang, Sophia Ananiadou:
A Survey on Biomedical Text Summarization with Pre-trained Language Model. CoRR abs/2304.08763 (2023) - [i17]Zhibin Lu, Qianqian Xie, Benyou Wang, Jian-Yun Nie:
Word Grounded Graph Convolutional Network. CoRR abs/2305.06434 (2023) - [i16]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 abs/2306.05443 (2023) - [i15]Zheheng Luo, Lei Liu, Qianqian Xie, Sophia Ananiadou:
Graph Contrastive Topic Model. CoRR abs/2307.02078 (2023) - [i14]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 abs/2307.07362 (2023) - [i13]Qianqian Xie, Ludo Waltman:
A comparison of citation-based clustering and topic modeling for science mapping. CoRR abs/2309.06160 (2023) - [i12]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation. CoRR abs/2309.12455 (2023) - [i11]Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Sophia Ananiadou:
MentalLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. CoRR abs/2309.13567 (2023) - [i10]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 abs/2309.17332 (2023) - [i9]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 abs/2310.00566 (2023) - [i8]Chenhan Yuan, Qianqian Xie, Jimin Huang, Sophia Ananiadou:
Back to the Future: Towards Explainable Temporal Reasoning with Large Language Models. CoRR abs/2310.01074 (2023) - [i7]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 abs/2310.05620 (2023) - 2022
- [j14]Qianqian Xie, Jennifer Bishop, Prayag Tiwari, Sophia Ananiadou:
Pre-trained language models with domain knowledge for biomedical extractive summarization. Knowl. Based Syst. 252: 109460 (2022) - [j13]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): 2603-2618 (2022) - [j12]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): 48:1-48:30 (2022) - [c17]Jennifer Bishop, Qianqian Xie, Sophia Ananiadou:
GenCompareSum: a hybrid unsupervised summarization method using salience. BioNLP@ACL 2022: 220-240 - [c16]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. COLING 2022: 6259-6269 - [c15]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: 4165-4177 - [c14]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Readability Controllable Biomedical Document Summarization. EMNLP (Findings) 2022: 4667-4680 - [c13]Weiguang Han, Jimin Huang, Qianqian Xie, Min Peng:
DGR: Decomposition Graph Reconstruction for Question Understanding. IJCNN 2022: 1-8 - [i6]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 abs/2207.00735 (2022) - [i5]Qianqian Xie, Jimin Huang, Tulika Saha, Sophia Ananiadou:
GRETEL: Graph Contrastive Topic Enhanced Language Model for Long Document Extractive Summarization. CoRR abs/2208.09982 (2022) - [i4]Zheheng Luo, Qianqian Xie, Sophia Ananiadou:
Readability Controllable Biomedical Document Summarization. CoRR abs/2210.04705 (2022) - [i3]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 abs/2210.04870 (2022) - 2021
- [j11]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): 102614 (2021) - [c12]Qianqian Xie, Jimin Huang, Pan Du, Min Peng:
Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders. ACL/IJCNLP (Findings) 2021: 2604-2613 - [c11]Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie:
Inductive Topic Variational Graph Auto-Encoder for Text Classification. NAACL-HLT 2021: 4218-4227 - [c10]Qianqian Xie, Jimin Huang, Pan Du, Min Peng, Jian-Yun Nie:
Graph Topic Neural Network for Document Representation. WWW 2021: 3055-3065 - [i2]Benyou Wang, Qianqian Xie, Jiahuan Pei, Prayag Tiwari, Zhao Li, Jie Fu:
Pre-trained Language Models in Biomedical Domain: A Systematic Survey. CoRR abs/2110.05006 (2021) - 2020
- [j10]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: 106510 (2020) - [j9]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: 282-294 (2020) - [j8]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: 102-112 (2020) - [j7]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: 110773 (2020) - [j6]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): 299-322 (2020) - [c9]Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, Hua Wang:
MSReNet: Multi-step Reformulation for Open-Domain Question Answering. NLPCC (2) 2020: 292-304 - [c8]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: 6-7 - [i1]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 abs/2004.05812 (2020)
2010 – 2019
- 2019
- [j5]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): 1123-1145 (2019) - [j4]Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Gang Tian:
Bayesian Sparse Topical Coding. IEEE Trans. Knowl. Data Eng. 31(6): 1080-1093 (2019) - [c7]Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, Hua Wang:
Discriminative Regularized Deep Generative Models for Semi-Supervised Learning. ICDM 2019: 658-667 - [c6]Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, Hua Wang:
Discriminative Regularization with Conditional Generative Adversarial Nets for Semi-Supervised Learning. IJCNN 2019: 1-8 - 2018
- [c5]Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, Xiuzhen Zhang, Jimin Huang, Gang Tian:
Neural Sparse Topical Coding. ACL (1) 2018: 2332-2340 - [c4]Min Peng, Hongliang Shi, Qianqian Xie, Yihan Zhang, Hua Wang, Zhaoyunfei Li, Jianming Yong:
Block Bayesian Sparse Topical Coding. CSCWD 2018: 271-276 - [c3]Min Peng, Dian Chen, Qianqian Xie, Yanchun Zhang, Hua Wang, Gang Hu, Wang Gao, Yihan Zhang:
Topic-Net Conversation Model. WISE (1) 2018: 483-496 - 2017
- [j3]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): 17:1-17:18 (2017) - 2016
- [c2]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: 304-315 - [c1]Min Peng, Qianqian Xie, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Jimin Huang, Gang Tian:
Sparse Topical Coding with Sparse Groups. WAIM (1) 2016: 415-426 - 2015
- [j2]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): 177-180 (2015) - [j1]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): 250-253 (2015)
Coauthor Index
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