Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Medical foundation large language models for comprehensive text analysis and beyond
    Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, and  others
    npj Digital Medicine, 2025
  2. ELAINE-medLLM: Lightweight English Japanese Chinese Trilingual Large Language Model for Bio-medical Domain
    Ken Yano, Zheheng Luo, Jimin Huang, Qianqian Xie, Masaki Asada, Chenhan Yuan, Kailai Yang, Makoto Miwa, Sophia Ananiadou, and Jun’ichi Tsujii
    In Proceedings of the 31st International Conference on Computational Linguistics, 2025
  3. Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal)
    Chung-Chi Chen, Antonio Moreno-Sandoval, Jimin Huang, Qianqian Xie, Sophia Ananiadou, and Hsin-Hsi Chen
    In Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), 2025
  4. FinNLP-FNP-LLMFinLegal-2025 Shared Task: Financial Misinformation Detection Challenge Task
    Zhiwei Liu, Keyi Wang, Zhuo Bao, Xin Zhang, Jiping Dong, Kailai Yang, Mohsinul Kabir, Polydoros Giannouris, Rui Xing, Park Seongchan, and  others
    In Proceedings of the Joint Workshop of the 9th Financial Technology and Natural Language Processing (FinNLP), the 6th Financial Narrative Processing (FNP), and the 1st Workshop on Large Language Models for Finance and Legal (LLMFinLegal), 2025
  5. Retrieval-augmented Large Language Models for Financial Time Series Forecasting
    Mengxi Xiao, Zihao Jiang, Lingfei Qian, Zhengyu Chen, Yueru He, Yijing Xu, Yuecheng Jiang, Dong Li, Ruey-Ling Weng, Min Peng, and  others
    arXiv preprint arXiv:2502.05878, 2025
  6. PH-LLM: Public Health Large Language Models for Infoveillance
    Xinyu Zhou, Jiaqi Zhou, Chiyu Wang, Qianqian Xie, Kaize Ding, Chengsheng Mao, Yuntian Liu, Zhiyuan Cao, Huangrui Chu, Xi Chen, and  others
    medRxiv, 2025
  7. Fino1: On the Transferability of Reasoning Enhanced LLMs to Finance
    Lingfei Qian, Weipeng Zhou, Yan Wang, Xueqing Peng, Jimin Huang, and Qianqian Xie
    arXiv preprint arXiv:2502.08127, 2025
  8. FLAG-Trader: Fusion LLM-Agent with Gradient-based Reinforcement Learning for Financial Trading
    Guojun Xiong, Zhiyang Deng, Keyi Wang, Yupeng Cao, Haohang Li, Yangyang Yu, Xueqing Peng, Mingquan Lin, Kaleb E Smith, Xiao-Yang Liu, and  others
    2025
  9. Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models
    Mengxi Xiao, Zihao Jiang, Lingfei Qian, Zhengyu Chen, Yueru He, Yijing Xu, Yuecheng Jiang, Dong Li, Ruey-Ling Weng, Min Peng, and  others
    arXiv e-prints, 2025
  10. Plutus: Benchmarking Large Language Models in Low-Resource Greek Finance
    Xueqing Peng, Triantafillos Papadopoulos, Efstathia Soufleri, Polydoros Giannouris, Ruoyu Xiang, Yan Wang, Lingfei Qian, Jimin Huang, Qianqian Xie, and Sophia Ananiadou
    arXiv preprint arXiv:2502.18772, 2025
  11. Medical foundation large language models for comprehensive text analysis and beyond
    Qianqian Xie, Qingyu Chen, Aokun Chen, Cheng Peng, Yan Hu, Fongci Lin, Xueqing Peng, Jimin Huang, Jeffrey Zhang, Vipina Keloth, and  others
    npj Digital Medicine, 2025
  12. Open FinLLM leaderboard: Towards financial ai readiness
    Shengyuan Colin Lin, Felix Tian, Keyi Wang, Xingjian Zhao, Jimin Huang, Qianqian Xie, Luca Borella, Matt White, Christina Dan Wang, Kairong Xiao, and  others
    arXiv preprint arXiv:2501.10963, 2025

2024

  1. The Lay Person’s Guide to Biomedicine: Orchestrating Large Language Models
    Zheheng Luo, Qianqian Xie, and Sophia Ananiadou
    arXiv preprint arXiv:2402.13498, 2024
  2. SuicidEmoji: Derived Emoji Dataset and Tasks for Suicide-Related Social Content
    Tianlin Zhang, Kailai Yang, Shaoxiong Ji, Boyang Liu, Qianqian Xie, and Sophia Ananiadou
    In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
  3. Supporting the working life exposome: Annotating occupational exposure for enhanced literature search
    Paul Thompson, Sophia Ananiadou, Ioannis Basinas, Bendik C Brinchmann, Christine Cramer, Karen S Galea, Calvin Ge, Panagiotis Georgiadis, Jorunn Kirkeleit, Eelco Kuijpers, and  others
    Plos one, 2024
  4. Are Large Language Models True Healthcare Jacks-of-All-Trades? Benchmarking Across Health Professions Beyond Physician Exams
    Zheheng Luo, Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou
    arXiv preprint arXiv:2406.11328, 2024
  5. Selective Preference Optimization via Token-Level Reward Function Estimation
    Kailai Yang, Zhiwei Liu, Qianqian Xie, Jimin Huang, Erxue Min, and Sophia Ananiadou
    arXiv preprint arXiv:2408.13518, 2024
  6. LitFM: A Retrieval Augmented Structure-aware Foundation Model For Citation Graphs
    Jiasheng Zhang, Jialin Chen, Ali Maatouk, Ngoc Bui, Qianqian Xie, Leandros Tassiulas, Jie Shao, Hua Xu, and Rex Ying
    arXiv preprint arXiv:2409.12177, 2024
  7. Language Enhanced Model for Eye (LEME): An Open-Source Ophthalmology-Specific Large Language Model
    Aidan Gilson, Xuguang Ai, Qianqian Xie, Sahana Srinivasan, Krithi Pushpanathan, Maxwell B Singer, Jimin Huang, Hyunjae Kim, Erping Long, Peixing Wan, and  others
    arXiv preprint arXiv:2410.03740, 2024
  8. CDEMapper: Enhancing NIH Common Data Element Normalization using Large Language Models
    Yan Wang, Jimin Huang, Huan He, Vincent Zhang, Yujia Zhou, Xubing Hao, Pritham Ram, Lingfei Qian, Qianqian Xie, Ruey-Ling Weng, and  others
    arXiv preprint arXiv:2412.00491, 2024
  9. Temporal relation extraction with contrastive prototypical sampling
    Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou
    Knowledge-Based Systems, 2024
  10. Graph contrastive topic model
    Zheheng Luo, Lei Liu, Sophia Ananiadou, and Qianqian Xie
    Expert Systems with Applications, 2024
  11. RAEmoLLM: Retrieval Augmented LLMs for Cross-Domain Misinformation Detection Using In-Context Learning based on Emotional Information
    Zhiwei Liu, Kailai Yang, Qianqian Xie, Christine Kock, Sophia Ananiadou, and Eduard Hovy
    arXiv preprint arXiv:2406.11093, 2024
  12. Edge contrastive learning for link prediction
    Lei Liu, Qianqian Xie, Weidong Wen, Jiahui Zhu, and Min Peng
    Information Processing & Management, 2024
  13. MetaAligner: Conditional Weak-to-Strong Correction for Generalizable Multi-Objective Alignment of Language Models
    Kailai Yang, Zhiwei Liu, Qianqian Xie, Tianlin Zhang, Nirui Song, Jimin Huang, Ziyan Kuang, and Sophia Ananiadou
    NeurIPS 2024, 2024
  14. HealMe: Harnessing Cognitive Reframing in Large Language Models for Psychotherapy
    Mengxi Xiao, Qianqian Xie, Ziyan Kuang, Zhicheng Liu, Kailai Yang, Min Peng, Weiguang Han, and Jimin Huang
    ACL 2024, 2024
  15. HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection
    Yuxin Wang, Duanyu Feng, Yongfu Dai, Zhengyu Chen, Jimin Huang, Sophia Ananiadou, Qianqian Xie, and Hao Wang
    NeurIPS Dataset and Benchmark Track 2024, 2024
  16. Dólares or dollars? unraveling the bilingual prowess of financial llms between spanish and english
    Xiao Zhang, Ruoyu Xiang, Chenhan Yuan, Duanyu Feng, Weiguang Han, Alejandro Lopez-Lira, Xiao-Yang Liu, Meikang Qiu, Sophia Ananiadou, Min Peng, and  others
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
  17. No Language is an Island: Unifying Chinese and English in Financial Large Language Models, Instruction Data, and Benchmarks
    Gang Hu, Ke Qin, Chenhan Yuan, Min Peng, Alejandro Lopez-Lira, Benyou Wang, Sophia Ananiadou, Wanlong Yu, Jimin Huang, and Qianqian Xie
    2024
  18. Finnlp-agentscen-2024 shared task: Financial challenges in large language models-finllms
    Qianqian Xie, Jimin Huang, Dong Li, Zhengyu Chen, Ruoyu Xiang, Mengxi Xiao, Yangyang Yu, Vijayasai Somasundaram, Kailai Yang, Chenhan Yuan, and  others
    In Proceedings of the Eighth Financial Technology and Natural Language Processing and the 1st Agent AI for Scenario Planning, 2024
  19. Fmdllama: Financial misinformation detection based on large language models
    Zhiwei Liu, Xin Zhang, Kailai Yang, Qianqian Xie, Jimin Huang, and Sophia Ananiadou
    arXiv preprint arXiv:2409.16452, 2024
  20. AuditWen: An Open-Source Large Language Model for Audit
    Jiajia Huang, Haoran Zhu, Chao Xu, Tianming Zhan, Qianqian Xie, and Jimin Huang
    In China National Conference on Chinese Computational Linguistics, 2024
  21. Ucfe: A user-centric financial expertise benchmark for large language models
    Yuzhe Yang, Yifei Zhang, Yan Hu, Yilin Guo, Ruoli Gan, Yueru He, Mingcong Lei, Xiao Zhang, Haining Wang, Qianqian Xie, and  others
    arXiv preprint arXiv:2410.14059, 2024
  22. INVESTORBENCH: A Benchmark for Financial Decision-Making Tasks with LLM-based Agent
    Haohang Li, Yupeng Cao, Yangyang Yu, Shashidhar Reddy Javaji, Zhiyang Deng, Yueru He, Yuechen Jiang, Zining Zhu, Koduvayur Subbalakshmi, Guojun Xiong, and  others
    arXiv preprint arXiv:2412.18174, 2024
  23. Overview of the biolaysumm 2024 shared task on the lay summarization of biomedical research articles
    Tomas Goldsack, Carolina Scarton, Matthew Shardlow, and Chenghua Lin
    arXiv preprint arXiv:2408.08566, 2024
  24. MentaLLaMA: interpretable mental health analysis on social media with large language models
    Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie(Corresponding author), Jimin Huang, and Sophia Ananiadou
    In WWW, 2024
  25. Back to the future: Towards explainable temporal reasoning with large language models
    Chenhan Yuan, Qianqian Xie(Corresponding author), Jimin Huang, and Sophia Ananiadou
    In WWW, 2024
  26. Factual consistency evaluation of summarization in the Era of large language models
    Zheheng Luo, Qianqian Xie, and Sophia Ananiadou
    Expert Systems with Applications, 2024
  27. Advancing entity recognition in biomedicine via instruction tuning of large language models
    Vipina K Keloth, Yan Hu, Qianqian Xie, Xueqing Peng, Yan Wang, Andrew Zheng, Melih Selek, Kalpana Raja, Chih Hsuan Wei, Qiao Jin, and  others
    Bioinformatics, 2024
  28. Emollms: A series of emotional large language models and annotation tools for comprehensive affective analysis
    Zhiwei Liu, Kailai Yang, Qianqian Xie, Tianlin Zhang, and Sophia Ananiadou
    In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
  29. FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
    Yangyang Yu, Zhiyuan Yao, Haohang Li, Zhiyang Deng, Yuechen Jiang, Yupeng Cao, Zhi Chen, Jordan W. Suchow, Zhenyu Cui, Rong Liu, Zhaozhuo Xu, Denghui Zhang, Koduvayur Subbalakshmi, Guojun Xiong, Yueru He, Jimin Huang, Dong Li, and Qianqian Xie(Corresponding author)
    In NeurIPS, 2024
  30. Finben: A holistic financial benchmark for large language models
    Qianqian Xie, Weiguang Han, Zhengyu Chen, Ruoyu Xiang, Xiao Zhang, Yueru He, Mengxi Xiao, Dong Li, Yongfu Dai, Duanyu Feng, and  others
    NeurIPS, 2024
  31. Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications
    Qianqian Xie, Dong Li, Mengxi Xiao, Zihao Jiang, Ruoyu Xiang, Xiao Zhang, Zhengyu Chen, Yueru He, Weiguang Han, Yuzhe Yang, and  others
    2024

2023

  1. Word grounded graph convolutional network
    Zhibin Lu, Qianqian Xie, Benyou Wang, and Jian-yun Nie
    arXiv preprint arXiv:2305.06434, 2023
  2. O-114 Natural language processing as a tool for developing and updating job exposure matrices for chemical exposures in the general population
    Ioannis Basinas, Paul Thompson, Qianqian Xie, Sophia Annaniadou, Calvin Ge, Eelco Kuijpers, Hakan Tinnerberg, Zara Ann Stockholm, Jorunn Kirkeleit, Karen S Galea, and  others
    2023
  3. A survey on biomedical text summarization with pre-trained language model
    Xie Qianqian, Luo Zheheng, Wang Benyou, and Ananiadou Sophia
    arXiv preprint arXiv:2304.08763, 2023
  4. Temporal Relation Extraction with Contrastive Prototypical Sampling
    Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou
    Available at SSRN 4482481, 2023
  5. Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk
    Jianquan Li, Xiangbo Wu, Xiaokang Liu, Qianqian Xie, Prayag Tiwari, and Benyou Wang
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
  6. LongDocFACTScore: Evaluating the Factuality of Long Document Abstractive Summarisation
    Jennifer A Bishop, Qianqian Xie, and Sophia Ananiadou
    COLING 2024, 2023
  7. Mastering pair trading with risk-aware recurrent reinforcement learning
    Weiguang Han, Jimin Huang, Qianqian Xie, Boyi Zhang, Yanzhao Lai, and Min Peng
    arXiv preprint arXiv:2304.00364, 2023
  8. Jingcheng Du, Yan Hu, Vipina Kuttichi Keloth, Xueqing Peng, Kalpana Raja, Rui Zhang, Zhiyong Lu, and Hua Xu. Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
    Qingyu Chen
    arXiv preprint arXiv:2305.16326, 2023
  9. A systematic evaluation of large language models for biomedical natural language processing: benchmarks, baselines, and recommendations
    Qingyu Chen, Yan Hu, Xueqing Peng, Qianqian Xie, Qiao Jin, Aidan Gilson, Maxwell B Singer, Xuguang Ai, Po-Ting Lai, Zhizheng Wang, and  others
    arXiv preprint arXiv:2305.16326, 2023
  10. CitationSum: Citation-aware Graph Contrastive Learning for Scientific Paper Summarization
    Zheheng Luo, Qianqian Xie, and Sophia Ananiadou
    In WWW ’23: Proceedings of the ACM Web Conference 2023, 2023
  11. On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis
    Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, and Sophia Ananiadou
    EMNLP 2023, 2023
  12. Zero-shot temporal relation extraction with chatgpt
    Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou
    In BioNLP@ACL 2023, 2023
  13. A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models
    Qianqian Xie, Zheheng Luo, Benyou Wang, and Sophia Ananiadou
    arXiv preprint arXiv:2304.08763, 2023
  14. Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond
    Qianqian Xie, Edward J Schenck, He S Yang, Yong Chen, Yifan Peng, and Fei Wang
    In medRxiv, 2023
  15. Factreranker: Fact-guided reranker for faithful radiology report summarization
    Qianqian Xie, Jiayu Zhou, Yifan Peng, and Fei Wang
    arXiv preprint arXiv:2303.08335, 2023
  16. A scoping review on multimodal deep learning in biomedical images and texts
    Zhaoyi Sun, Mingquan Lin, Qingqing Zhu, Qianqian Xie, Fei Wang, Zhiyong Lu, and Yifan Peng
    Journal of biomedical informatics, 2023
  17. Knowledge-enhanced graph topic transformer for explainable biomedical text summarization
    Qianqian Xie, Prayag Tiwari, and Sophia Ananiadou
    IEEE journal of biomedical and health informatics, 2023
  18. The wall street neophyte: A zero-shot analysis of chatgpt over multimodal stock movement prediction challenges
    Qianqian Xie, Weiguang Han, Yanzhao Lai, Min Peng, and Jimin Huang
    arXiv preprint arXiv:2304.05351, 2023
  19. Pixiu: A comprehensive benchmark, instruction dataset and large language model for finance
    Qianqian Xie, Weiguang Han, Xiao Zhang, Yanzhao Lai, Min Peng, Alejandro Lopez-Lira, and Jimin Huang
    NeurIPS, 2023
  20. Empowering many, biasing a few: Generalist credit scoring through large language models
    Duanyu Feng, Yongfu Dai, Jimin Huang, Yifang Zhang, Qianqian Xie, Weiguang Han, Zhengyu Chen, Alejandro Lopez-Lira, and Hao Wang
    arXiv preprint arXiv:2310.00566, 2023
  21. LAiW: a Chinese legal large language models benchmark
    Yongfu Dai, Duanyu Feng, Jimin Huang, Haochen Jia, Qianqian Xie, Yifang Zhang, Weiguang Han, Wei Tian, and Hao Wang
    arXiv preprint arXiv:2310.05620, 2023
  22. Select and trade: Towards unified pair trading with hierarchical reinforcement learning
    Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, and Jimin Huang
    In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
  23. Large language models in biomedical natural language processing: benchmarks, baselines, and recommendations
    Qingyu Chen, Jingcheng Du, Yan Hu, Vipina Kuttichi Keloth, Xueqing Peng, Kalpana Raja, Rui Zhang, Zhiyong Lu, and Hua Xu
    arXiv e-prints, 2023

2022

  1. DGR: Decomposition Graph Reconstruction for Question Understanding
    Weiguang Han, Jimin Huang, Qianqian Xie, and Min Peng
    In 2022 International Joint Conference on Neural Networks (IJCNN), 2022
  2. Pre-trained language models with domain knowledge for biomedical extractive summarization
    Qianqian Xie, Jennifer Amy Bishop, Prayag Tiwari, and Sophia Ananiadou
    Knowledge-Based Systems, 2022
  3. GenCompareSum: a hybrid unsupervised summarization method using salience
    Jennifer Bishop, Qianqian Xie, and Sophia Ananiadou
    In Proceedings of the 21st workshop on biomedical language processing, 2022
  4. Pre-trained language models with domain knowledge for biomedical extractive summarization
    Qianqian Xie, Jennifer Amy Bishop, Prayag Tiwari, and Sophia Ananiadou
    Knowledge-Based Systems, 2022
  5. Gretel: Graph contrastive topic enhanced language model for long document extractive summarization
    Qianqian Xie, Jimin Huang, Tulika Saha, and Sophia Ananiadou
    In COLING 2022, 2022
  6. Readability Controllable Biomedical Document Summarization
    Zheheng Luo, Qianqian Xie, and Sophia Ananiadou
    In Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
  7. SMiLE: Schema-augmented multi-level contrastive learning for knowledge graph link prediction
    Miao Peng, Ben Liu, Qianqian Xie, Wenjie Xu, Hua Wang, and Min Peng
    arXiv preprint arXiv:2210.04870, 2022

2021

  1. Graph Relational Topic Model with Higher-order Graph Attention Auto-encoders
    Qianqian Xie, Jimin Huang, Pan Du, and Min Peng
    In Findings of ACL 2021, 2021
  2. Neural variational sparse topic model for sparse explainable text representation
    Qianqian Xie, Prayag Tiwari, Deepak Gupta, Jimin Huang, and Min Peng
    Information Processing & Management, 2021
  3. Inductive topic variational graph auto-encoder for text classification
    Qianqian Xie, Jimin Huang, Pan Du, Min Peng, and Jian-Yun Nie
    In proceedings of the 2021 conference of the North American chapter of the association for computational linguistics: human language technologies, 2021
  4. Graph topic neural network for document representation
    Qianqian Xie, Jimin Huang, Pan Du, Min Peng, and Jian-Yun Nie
    In WWW, 2021
  5. Graph neural collaborative topic model for citation recommendation
    Qianqian Xie, Yutao Zhu, Jimin Huang, Pan Du, and Jian-Yun Nie
    TOIS, 2021
  6. Pre-trained language models in biomedical domain: A systematic survey
    Benyou Wang, Qianqian Xie, Jiahuan Pei, Prayag Tiwari, and Zhao Li
    ACM computing survey, 2021

2020

  1. MLR: A Two-stage Conversational Query Rewriting Model with Multi-task Learning
    Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, and Haiqing Chen
    arXiv preprint arXiv:2004.05812, 2020
  2. Msrenet: Multi-step reformulation for open-domain question answering
    Weiguang Han, Min Peng, Qianqian Xie, Xiuzhen Zhang, and Hua Wang
    In Natural Language Processing and Chinese Computing: 9th CCF International Conference, NLPCC 2020, Zhengzhou, China, October 14–18, 2020, Proceedings, Part II 9, 2020
  3. DTC: transfer learning for commonsense machine comprehension
    Weiguang Han, Min Peng, Qianqian Xie, Gang Hu, Wang Gao, Hua Wang, Yanchun Zhang, and Zuopeng Liu
    Neurocomputing, 2020
  4. A two-stage conversational query rewriting model with multi-task learning
    Shuangyong Song, Chao Wang, Qianqian Xie, Xinxing Zu, Huan Chen, and Haiqing Chen
    In Companion Proceedings of the Web Conference 2020, 2020
  5. 基于深度学习的主题模型研究
    黄佳佳,  李鹏伟,  彭敏,  谢倩倩, and  徐超
    计算机学报, 2020
  6. Unsupervised software repositories mining and its application to code search
    Gang Hu, Min Peng, Yihan Zhang, Qianqian Xie, Wang Gao, and Mengting Yuan
    Software: Practice and Experience, 2020
  7. Generation of topic evolution graphs from short text streams
    Wang Gao, Min Peng, Hua Wang, Yanchun Zhang, Weiguang Han, Gang Hu, and Qianqian Xie
    Neurocomputing, 2020
  8. Neural joint attention code search over structure embeddings for software Q&A sites
    Gang Hu, Min Peng, Yihan Zhang, Qianqian Xie, and Mengting Yuan
    Journal of Systems and Software, 2020

2019

  1. 基于带注意力机制 CNN 的联合知识表示模型
    彭敏,  姚亚兰,  谢倩倩, and  高望
    中文信息学报, 2019
  2. Fine-grained tomato disease recognition based on attention residual mechanism.
    Hu ZhiWei Hu ZhiWei, Yang Hua Yang Hua, Huang JiMing Huang JiMing, and Xie QianQian Xie QianQian
    2019
  3. Discriminative regularization with conditional generative adversarial nets for semi-supervised learning
    Qianqian Xie, Min Peng, Jimin Huang, Bin Wang, and Hua Wang
    In 2019 International Joint Conference on Neural Networks (IJCNN), 2019
  4. Discriminative regularized deep generative models for semi-supervised learning
    Qianqian Xie, Jimin Huang, Min Peng, Yihan Zhang, Kaifei Peng, and Hua Wang
    In 2019 IEEE international conference on data mining (ICDM), 2019
  5. 基于注意力残差机制的细粒度番茄病害识别
    胡志伟,  杨华,  黄济民, and  谢倩倩
    华南农业大学学报, 2019
  6. Incorporating word embeddings into topic modeling of short text
    Wang Gao, Min Peng, Hua Wang, Yanchun Zhang, Qianqian Xie, and Gang Tian
    Knowledge and Information Systems, 2019
  7. Fine-grained tomato disease recognition based on attention residual mechanism
    胡志伟,  杨华,  黄济民, and  谢倩倩
    Journal of South China Agricultural University, 2019

2018

  1. 基于带注意力机制CNN的联合知识表示模型
    Min Peng, Yalan Yao, and Qianqian Xie
    In The 17th Chinese National Conference on Computational Linguistics (CCL 2018) and the Sixth International Symposium on Natural Language Processing based on Naturally Annotated Big Data (NLP-NABD 2018), 2018
  2. Extraction of pig contour based on fully convolutional networks.
    Hu ZhiWei Hu ZhiWei, Yang Hua Yang Hua, Lou TianTian Lou TianTian, Hu Gang Hu Gang, Xie QianQian Xie QianQian, and Huang JiaJia Huang JiaJia
    2018
  3. Block Bayesian sparse topical coding
    Min Peng, Hongliang Shi, Qianqian Xie, Yihan Zhang, Hua Wang, Zhaoyunfei Li, and Jianming Yong
    In 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design ((CSCWD)), 2018
  4. Topic-Net Conversation Model
    Min Peng, Dian Chen, Qianqian Xie, Yanchun Zhang, Hua Wang, Gang Hu, Wang Gao, and Yihan Zhang
    In International Conference on Web Information Systems Engineering, 2018
  5. Extraction of pig contour based on fully convolutional networks
    胡志伟,  杨华,  娄甜田,  胡刚,  谢倩倩, and  黄佳佳
    Journal of South China Agricultural University, 2018
  6. 基于全卷积网络的生猪轮廓提取
    胡志伟,  杨华,  娄甜田,  胡刚,  谢倩倩,  黄佳佳, and  others
    华南农业大学学报, 2018
  7. Neural sparse topical coding
    Min Peng, Qianqian Xie, Yanchun Zhang, Hua Wang, Xiuzhen Jenny Zhang, Jimin Huang, and Gang Tian
    In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2018
  8. Bayesian sparse topical coding
    Min Peng, Qianqian Xie, Hua Wang, Yanchun Zhang, and Gang Tian
    IEEE Transactions on Knowledge and Data Engineering, 2018

2017

  1. Parallelization of massive textstream compression based on compressed sensing
    Min Peng, Wang Gao, Hua Wang, Yanchun Zhang, Jiajia Huang, Qianqian Xie, Gang Hu, and Gang Tian
    ACM Transactions on Information Systems (TOIS), 2017

2016

  1. Sparse topical coding with sparse groups
    Jimin Huang, Gang Tian, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Qianqian Xie, Min Peng, and  others
    2016
  2. KPCA-WT: an efficient framework for high quality microblog extraction in time-frequency domain
    Min Peng, Xinyuan Dai, Kai Zhang, Guanyin Zeng, Jiahui Zhu, Shuang Ouyang, Qianqian Xie, and Gang Tian
    In International Conference on Web-Age Information Management, 2016
  3. Sparse topical coding with sparse groups
    Min Peng, Qianqian Xie, Jiajia Huang, Jiahui Zhu, Shuang Ouyang, Jimin Huang, and Gang Tian
    In International Conference on Web-Age Information Management, 2016
  4. 面向社交媒体文本的话题检测与追踪技术研究综述
    彭敏,  官宸宇,  朱佳晖,  谢倩倩,  黄佳佳,  黄济民,  杨绍雄,  高望, and  应称
    武汉大学学报 (理学版), 2016
  5. Improving distant supervision of relation extraction with unsupervised methods
    Min Peng, Jimin Huang, Zhaoyu Sun, Shizhong Wang, Hua Wang, Guangping Zhuo, and Gang Tian
    In International Conference on Web Information Systems Engineering, 2016

2015

  1. Coherent topic hierarchy: A strategy for topic evolutionary analysis on microblog feeds
    Jiahui Zhu, Xuhui Li, Min Peng, Jiajia Huang, Tieyun Qian, Jimin Huang, Jiping Liu, Ri Hong, and Pinglan Liu
    In International conference on web-age information management, 2015