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Qiudan Li
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2020 – today
- 2024
- [j19]Liping Chen
, Yilin Wu
, Qiudan Li
, Yuxuan Song
, Chenyu Yuan
, Daniel Dajun Zeng
:
Mining the User's Personality With an Attention-Based Label Prompt Method. IEEE Intell. Syst. 39(2): 31-39 (2024) - [c52]Minjie Yuan
, Mengyu Xiang
, Yuxuan Song
, Qiudan Li
, Jinye Fu
, Daniel Dajun Zeng
:
A Heterogeneous Network fused with Context-aware Contrastive Learning for Sarcasm Topic-Target Pair Identification. WWW (Companion Volume) 2024: 915-918 - 2023
- [c51]Xue Mao, Haoda Qian, Minjie Yuan, Qiudan Li:
A Mutually Enhanced Bidirectional Approach for Jointly Mining User Demand and Sentiment (Student Abstract). AAAI 2023: 16278-16279 - [c50]Linzi Wang, Haoda Qian, Qiudan Li, David Jingjun Xu
, Daniel Dajun Zeng:
Style-Driven Multi-Perspective Relevance Mining Model for Hotspot Reprint Paragraph Prediction. ISI 2023: 1-6 - [c49]Yilin Wu, Minjie Yuan, Yuxuan Song, Liping Chen, Chenyu Yuan, Qiudan Li:
A Two-Stage Prompt Learning Method for Jointly Predicting Topic and Personality. ISI 2023: 1-3 - [c48]Minjie Yuan
, Qiudan Li
, Xue Mao
, Daniel Dajun Zeng
:
Identifying Topic and Cause for Sarcasm: An Unsupervised Knowledge-enhanced Prompt Method. WWW (Companion Volume) 2023: 184-187 - 2022
- [j18]Qiudan Li
, Hejing Liu
, Riheng Yao, David Jingjun Xu
, Daniel Dajun Zeng:
Entity Matters in News: An Association Network-Enhanced Method for News Reprint Prediction. IEEE Intell. Syst. 37(1): 99-107 (2022) - [j17]Zhu Zhang
, Xuan Wei
, Xiaolong Zheng
, Qiudan Li
, Daniel Dajun Zeng
:
Detecting Product Adoption Intentions via Multiview Deep Learning. INFORMS J. Comput. 34(1): 541-556 (2022) - [c47]Haoda Qian, Zaichuan Tang, Yajun Ren, Qiudan Li, Daniel Zeng:
A Transformer-based Approach for Identifying Target-oriented Opinions from Travel Reviews. IJCNN 2022: 1-7 - [c46]Haoda Qian, Minjie Yuan, Qiudan Li, Daniel Zeng:
A BERT-based Heterogeneous Graph Convolution Approach for Mining Organization-Related Topics. IJCNN 2022: 1-8 - 2021
- [c45]Hejing Liu, Qiudan Li, Zaichuan Tang, Jie Bai:
An Attention Based Multi-view Model for Sarcasm Cause Detection (Student Abstract). AAAI 2021: 15833-15834 - [c44]Haoda Qian, Qiudan Li, Zaichuan Tang:
A Multi-Task MRC Framework for Chinese Emotion Cause and Experiencer Extraction. ICANN (4) 2021: 99-110 - [c43]Linzi Wang, Riheng Yao, Qiudan Li, Xina Zhang, Hejing Liu:
A Multi-level Semantic Fusion Approach for News Reprint Pattern Detection. IJCNN 2021: 1-8 - 2020
- [j16]Qiudan Li
, Daniel Dajun Zeng
, David Jingjun Xu
, Ruoran Liu
, Riheng Yao
:
Understanding and Predicting Users' Rating Behavior: A Cognitive Perspective. INFORMS J. Comput. 32(4): 996-1011 (2020) - [c42]Riheng Yao, Shuangyong Song, Qiudan Li, Chao Wang, Huan Chen, Haiqing Chen, Daniel Dajun Zeng:
Session-Level User Satisfaction Prediction for Customer Service Chatbot in E-Commerce (Student Abstract). AAAI 2020: 13973-13974
2010 – 2019
- 2019
- [c41]Zikang Wang, Linjing Li, Qiudan Li, Daniel Zeng:
Multimodal Data Enhanced Representation Learning for Knowledge Graphs. IJCNN 2019: 1-8 - [c40]Riheng Yao, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
A Novel Neural Approach for News Reprint Prediction. IJCNN 2019: 1-8 - [c39]Ruoran Liu, Qiudan Li, Daniel Dajun Zeng:
Inferring Users' Usage Patterns for Drug Abuse Surveillance. ISI 2019: 134-136 - [c38]Hejing Liu, Qiudan Li, Riheng Yao, Daniel Dajun Zeng:
Analyzing Topics of JUUL Discussions on Social Media Using a Semantics-assisted NMF model. ISI 2019: 212-214 - [c37]Riheng Yao, Qiudan Li, Wei-Hsuan Lo-Ciganic, Daniel Dajun Zeng:
A Prior Knowledge Based Neural Attention Model for Opioid Topic Identification. ISI 2019: 215-217 - 2018
- [c36]Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng:
A Novel Embedding Method for News Diffusion Prediction. AAAI 2018: 8111-8112 - [c35]Yin Luo, Qiudan Li, Song Sun, Daniel Zeng, Scott J. Leischow:
Understanding of Users' Response to the Intervention of FDA's New Deeming Rules in Twitter. ICMHI 2018: 1-8 - [c34]Fan Lei, Qiudan Li, Song Sun, Lei Wang, Daniel Dajun Zeng:
Catching Dynamic Heterogeneous User Data for Identity Linkage Learning. IJCNN 2018: 1-8 - 2017
- [j15]Jie Bai
, Linjing Li, Daniel Zeng, Qiudan Li:
Associated Activation-Driven Enrichment: Understanding Implicit Information from a Cognitive Perspective. IEEE Trans. Knowl. Data Eng. 29(12): 2655-2668 (2017) - [c33]Can Wang, Qiudan Li, Lei Wang, Daniel Dajun Zeng:
Incorporating message embedding into co-factor matrix factorization for retweeting prediction. IJCNN 2017: 1265-1272 - [c32]Song Sun, Qiudan Li, Peng Yan, Daniel Dajun Zeng:
Mapping users across social media platforms by integrating text and structure information. ISI 2017: 113-118 - [c31]Ruoran Liu, Qiudan Li, Can Wang, Lei Wang, Daniel Dajun Zeng, Hongyuan Ma:
Mining phase evolution for hot topics: A case study from multiple social media platforms. SMC 2017: 2814-2819 - 2016
- [j14]Qiudan Li, Zhipeng Jin, Can Wang, Daniel Dajun Zeng:
Mining opinion summarizations using convolutional neural networks in Chinese microblogging systems. Knowl. Based Syst. 107: 289-300 (2016) - [c30]Zhipeng Jin, Ruoran Liu, Qiudan Li, Daniel Dajun Zeng, YongCheng Zhan, Lei Wang:
Predicting user's multi-interests with network embedding in health-related topics. IJCNN 2016: 2568-2575 - [c29]Zhipeng Jin, Qiudan Li, Daniel Dajun Zeng, YongCheng Zhan, Ruoran Liu, Lei Wang, Hongyuan Ma:
Jointly Modeling Review Content and Aspect Ratings for Review Rating Prediction. SIGIR 2016: 893-896 - 2015
- [c28]Zhipeng Jin, Qiudan Li, Daniel Zeng, Lei Wang:
Filtering spam in Weibo using ensemble imbalanced classification and knowledge expansion. ISI 2015: 132-134 - 2014
- [j13]Qingliang Miao, Qiudan Li, Daniel Zeng, Yao Meng, Shu Zhang, Hao Yu:
Entity attribute discovery and clustering from online reviews. Frontiers Comput. Sci. 8(2): 279-288 (2014) - [j12]Zhongfeng Zhang, Qiudan Li, Daniel Zeng, Heng Gao:
Extracting evolutionary communities in community question answering. J. Assoc. Inf. Sci. Technol. 65(6): 1170-1186 (2014) - 2013
- [j11]Zhongfeng Zhang, Qiudan Li, Daniel Zeng, Heng Gao:
User community discovery from multi-relational networks. Decis. Support Syst. 54(2): 870-879 (2013) - [j10]Hongyun Bao, Qiudan Li, Stephen Shaoyi Liao
, Shuangyong Song, Heng Gao:
A new temporal and social PMF-based method to predict users' interests in micro-blogging. Decis. Support Syst. 55(3): 698-709 (2013) - [c27]Heng Gao, Qiudan Li, Xiaolong Zheng:
Label Micro-blog Topics Using the Bayesian Inference Method. PAISI 2013: 19-28 - [i1]Heng Gao, Yongbao Li, Qiudan Li, Daniel Zeng:
The Powerful Model Adpredictor for Search Engine Switching Detection Challenge. CoRR abs/1303.2156 (2013) - 2012
- [j9]Dongyuan Lu, Qiudan Li, Stephen Shaoyi Liao
:
A graph-based action network framework to identify prestigious members through member's prestige evolution. Decis. Support Syst. 53(1): 44-54 (2012) - [c26]Hongyun Bao, Qiudan Li, Daniel Zeng, Heng Gao:
Rigid or Flexible? A New Navigation Approach for Better Consumer Service Based on Knowledge Enhancement. ICDM Workshops 2012: 280-286 - [c25]Jiawei Wang, Jimmy S. J. Ren, Wei Wang, Xin Li, Qiudan Li, Stephen Shaoyi Liao:
When Multivariate Forecasting Meets Unsupervised Feature Learning - Towards a Novel Anomaly Detection Framework for Decision Support. ICIS 2012 - [c24]Shuangyong Song, Qiudan Li, Xiaolong Zheng:
Detecting popular topics in micro-blogging based on a user interest-based model. IJCNN 2012: 1-8 - [c23]Heng Gao, Qiudan Li, Hongyun Bao, Shuangyong Song:
How shall we catch people's concerns in micro-blogging? WWW (Companion Volume) 2012: 505-506 - [c22]Shuangyong Song, Qiudan Li, Hongyun Bao:
Detecting dynamic association among twitter topics. WWW (Companion Volume) 2012: 605-606 - 2011
- [j8]Nan Zheng, Qiudan Li:
A recommender system based on tag and time information for social tagging systems. Expert Syst. Appl. 38(4): 4575-4587 (2011) - [j7]Zhongfeng Zhang, Qiudan Li:
QuestionHolic: Hot topic discovery and trend analysis in community question answering systems. Expert Syst. Appl. 38(6): 6848-6855 (2011) - [j6]Zhongfeng Zhang, Qiudan Li, Daniel Zeng:
Mining Evolutionary Topic Patterns in Community Question Answering Systems. IEEE Trans. Syst. Man Cybern. Part A 41(5): 828-833 (2011) - [c21]Dongyuan Lu, Qiudan Li:
Personalized search on Flickr based on searcher's preference prediction. WWW (Companion Volume) 2011: 81-82 - 2010
- [j5]Qingliang Miao, Qiudan Li, Daniel Zeng:
Fine-grained opinion mining by integrating multiple review sources. J. Assoc. Inf. Sci. Technol. 61(11): 2288-2299 (2010) - [j4]Nan Zheng, Qiudan Li, Shengcai Liao
, Leiming Zhang:
Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr. J. Inf. Sci. 36(6): 733-750 (2010) - [c20]Shuangyong Song, Qiudan Li, Nan Zheng:
A Spatio-temporal Framework for Related Topic Search in Micro-Blogging. AMT 2010: 63-73 - [c19]Dongyuan Lu, Qiudan Li:
Exploiting Semantic Hierarchies for Flickr Group. AMT 2010: 74-85 - [c18]Shuangyong Song, Qiudan Li, Nan Zheng:
Understanding a Celebrity with His Salient Events. AMT 2010: 86-97 - [c17]Zhongfeng Zhang, Qiudan Li, Daniel Zeng:
Evolutionary Community Discovery from Dynamic Multi-relational CQA Networks. Web Intelligence/IAT Workshops 2010: 83-86 - [c16]Nan Zheng, Qiudan Li, Shengcai Liao
, Leiming Zhang:
Flickr group recommendation based on tensor decomposition. SIGIR 2010: 737-738 - [c15]Qingliang Miao, Qiudan Li, Daniel Zeng:
Mining Fine Grained Opinions by Using Probabilistic Models and Domain Knowledge. Web Intelligence 2010: 358-365
2000 – 2009
- 2009
- [j3]Qingliang Miao, Qiudan Li, Ruwei Dai:
AMAZING: A sentiment mining and retrieval system. Expert Syst. Appl. 36(3): 7192-7198 (2009) - [c14]Guanggang Geng
, Qiudan Li, Xinchang Zhang:
Link based small sample learning for web spam detection. WWW 2009: 1185-1186 - 2008
- [j2]David Jingjun Xu
, Stephen Shaoyi Liao
, Qiudan Li:
Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications. Decis. Support Syst. 44(3): 710-724 (2008) - [c13]Guanggang Geng
, Chunheng Wang, Qiudan Li:
Improving Spamdexing Detection Via a Two-Stage Classification Strategy. AIRS 2008: 356-364 - [c12]Qingliang Miao, Qiudan Li, Ruwei Dai:
An integration strategy for mining product features and opinions. CIKM 2008: 1369-1370 - [c11]Jingchao Zhou, Baihua Xiao, Qiudan Li:
A no reference image quality assessment method for JPEG2000. IJCNN 2008: 863-868 - [c10]Qingliang Miao, Qiudan Li:
An opinion search system for consumer products. IJCNN 2008: 1433-1439 - [c9]Qingliang Miao, Qiudan Li, Ruwei Dai:
A Unified Framework for Opinion Retrieval. Web Intelligence 2008: 739-742 - [c8]Guanggang Geng
, Chunheng Wang, Qiudan Li:
Improving web spam detection with re-extracted features. WWW 2008: 1119-1120 - [c7]Qiudan Li, Chunheng Wang, Guanggang Geng
:
Improving personalized services in mobile commerce by a novel multicriteria rating approach. WWW 2008: 1235-1236 - 2007
- [c6]Guanggang Geng
, Chunheng Wang, Qiudan Li, Yuanping Zhu:
Fighting Link Spam with a Two-Stage Ranking Strategy. ECIR 2007: 699-702 - [c5]Guanggang Geng
, Chunheng Wang, Qiudan Li, Lei Xu, Xiao-Bo Jin:
Boosting the Performance of Web Spam Detection with Ensemble Under-Sampling Classification. FSKD (4) 2007: 583-587 - [c4]Qiudan Li, Chunheng Wang, Guanggang Geng, Ruwei Dai:
A Concept Lattice-Based Kernel Method for Mining Knowledge in an M-Commerce System. ISNN (1) 2007: 1280-1285 - [c3]Qiudan Li, Yaodong Li, Huiguang He
, Guanggang Geng
, Yuanping Zhu, Chunheng Wang:
Providing Personalized Services for HWME System by Item-Based Collaborative Filtering. PAISI 2007: 314-315 - [c2]Qiudan Li, Chunheng Wang, Guanggang Geng
, Ruwei Dai:
A novel collaborative filtering-based framework for personalized services in m-commerce. WWW 2007: 1251-1252 - 2006
- [c1]Qiudan Li, Stephen Shaoyi Liao, Dandan Li:
A Clustering Model for Mining Consumption Patterns from Imprecise Electric Load Time Series Data. FSKD 2006: 1217-1220 - 2005
- [j1]Stephen Shaoyi Liao
, Qiudan Li, David Jingjun Xu
:
A Bayesian Network-Based Framework for Personalization in Mobile Commerce Applications. Commun. Assoc. Inf. Syst. 15: 28 (2005)
Coauthor Index
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last updated on 2024-05-19 01:03 CEST by the dblp team
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