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2020 – today
- 2024
- [j38]Guotong Xue, Ming Zhong
, Tieyun Qian
, Jianxin Li:
PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks 173: 106155 (2024) - [j37]Congcong Jiang
, Tieyun Qian
, Bing Liu
:
One General Teacher for Multi-Data Multi-Task: A New Knowledge Distillation Framework for Discourse Relation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 32: 239-249 (2024) - [j36]Ming Zhong
, Junyong Yang
, Yuanyuan Zhu
, Tieyun Qian
, Mengchi Liu
, Jeffrey Xu Yu
:
A Unified and Scalable Algorithm Framework of User-Defined Temporal $(k,\mathcal {X})$(k,X)-Core Query. IEEE Trans. Knowl. Data Eng. 36(7): 2831-2845 (2024) - [j35]Wanli Li, Tieyun Qian, Xuhui Li, Lixin Zou:
Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. 35(8): 11291-11301 (2024) - [c75]Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian:
Prompting Large Language Models for Counterfactual Generation: An Empirical Study. LREC/COLING 2024: 13201-13221 - [c74]Chuhan Hu, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Ting Yu, Hongyang Chen, Mengchi Liu, Jeffrey Xu Yu:
Querying Cohesive Subgraph Regarding Span-Constrained Triangles on Temporal Graphs. ICDE 2024: 3338-3350 - 2023
- [j34]Junyong Yang, Ming Zhong
, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu
, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs. Proc. VLDB Endow. 16(5): 1168-1180 (2023) - [j33]Tieyun Qian
, Yile Liang, Qing Li
, Xuan Ma, Ke Sun, Zhiyong Peng
:
Intent Disentanglement and Feature Self-Supervision for Novel Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9864-9877 (2023) - [j32]Wanli Li
, Tieyun Qian
, Ming Zhong
, Xu Chen:
Interactive Lexical and Semantic Graphs for Semisupervised Relation Extraction. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7158-7169 (2023) - [j31]Ke Sun
, Tieyun Qian
, Chenliang Li
, Xuan Ma
, Qing Li
, Ming Zhong
, Yuanyuan Zhu
, Mengchi Liu
:
Pre-Training Across Different Cities for Next POI Recommendation. ACM Trans. Web 17(4): 31:1-31:27 (2023) - [j30]Ke Sun, Tieyun Qian, Ming Zhong
, Xuhui Li:
Towards more effective encoders in pre-training for sequential recommendation. World Wide Web (WWW) 26(5): 2801-2832 (2023) - [c73]Shen Zhou, Tieyun Qian:
On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. ACL (Findings) 2023: 12038-12050 - [c72]Xin Miao, Yongqi Li, Tieyun Qian:
Generating Commonsense Counterfactuals for Stable Relation Extraction. EMNLP 2023: 5654-5668 - [c71]Yongqi Li, Yu Yu, Tieyun Qian:
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. EMNLP (Findings) 2023: 8911-8927 - [c70]Xuan Ma, Tieyun Qian, Ke Sun:
Dynamic Open-book Prompt for Conversational Recommender System. EMNLP (Findings) 2023: 9839-9849 - [c69]Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. ICDE 2023: 3783-3784 - [c68]Ting Zhang, Zhuang Chen, Ming Zhong
, Tieyun Qian:
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. IJCAI 2023: 6299-6307 - [c67]Mayi Xu, Ke Sun, Yongqi Li, Tieyun Qian:
Cold-Start Multi-hop Reasoning by Hierarchical Guidance and Self-verification. ECML/PKDD (2) 2023: 577-592 - [c66]Mi Zhang
, Tieyun Qian
, Ting Zhang
, Xin Miao
:
Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. WWW 2023: 1832-1842 - [i15]Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Scalable Time-Range k-Core Query on Temporal Graphs(Full Version). CoRR abs/2301.03770 (2023) - [i14]Yongqi Li, Tieyun Qian:
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. CoRR abs/2302.06397 (2023) - [i13]Wanli Li, Tieyun Qian:
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. CoRR abs/2305.01920 (2023) - [i12]Yongqi Li, Mayi Xu, Xin Miao, Shen Zhou, Tieyun Qian:
Large Language Models as Counterfactual Generator: Strengths and Weaknesses. CoRR abs/2305.14791 (2023) - [i11]Ting Zhang, Zhuang Chen, Ming Zhong, Tieyun Qian:
Mimicking the Thinking Process for Emotion Recognition in Conversation with Prompts and Paraphrasing. CoRR abs/2306.06601 (2023) - [i10]Ming Zhong, Junyong Yang, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Towards a "Swiss Army Knife" for Scalable User-Defined Temporal (k, X)-Core Analysis. CoRR abs/2309.00361 (2023) - 2022
- [j29]Xiaoying Chen, Mi Zhang, Shengwu Xiong
, Tieyun Qian
:
On the form of parsed sentences for relation extraction. Knowl. Based Syst. 251: 109184 (2022) - [j28]Zhuang Chen
, Tieyun Qian
:
Retrieve-and-Edit Domain Adaptation for End2End Aspect Based Sentiment Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 30: 659-672 (2022) - [j27]Mi Zhang, Tieyun Qian
, Bing Liu
:
Exploit Feature and Relation Hierarchy for Relation Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 30: 917-930 (2022) - [j26]Jia Chen
, Ming Zhong
, Jianxin Li
, Dianhui Wang
, Tieyun Qian
, Hang Tu:
Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Trans. Cybern. 52(7): 5935-5946 (2022) - [j25]Tieyun Qian
, Yile Liang, Qing Li
, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation. IEEE Trans. Knowl. Data Eng. 34(8): 3597-3610 (2022) - [j24]Zhuang Chen, Tieyun Qian
:
Description and demonstration guided data augmentation for sequence tagging. World Wide Web 25(1): 175-194 (2022) - [c65]Xuan Ma, Tieyun Qian
, Yile Liang, Ke Sun, Hang Yun, Mi Zhang:
Enhancing Graph Convolution Network for Novel Recommendation. DASFAA (2) 2022: 69-84 - [c64]Wanli Li, Tieyun Qian:
Graph-based Model Generation for Few-Shot Relation Extraction. EMNLP 2022: 62-71 - [c63]Congcong Jiang, Tieyun Qian
, Bing Liu:
Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) 2022: 210-214 - [i9]Mi Zhang, Tieyun Qian, Ting Zhang:
Automatically Generating Counterfactuals for Relation Exaction. CoRR abs/2202.10668 (2022) - 2021
- [j23]Kejian Tang, Shaohui Zhan, Tao Zhan, Hui Zhu, Qian Zeng, Ming Zhong
, Xiaoyu Zhu, Yuanyuan Zhu, Jianxin Li
, Tieyun Qian
:
Efficient Sample Location Selection for Query Zone in Geo-Social Networks. Complex. 2021: 2581288:1-2581288:15 (2021) - [j22]Xuhui Li, Liuyan Liu, Xiaoguang Wang, Yiwen Li, Qingfeng Wu, Tieyun Qian
:
Towards evolutionary knowledge representation under the big data circumstance. Electron. Libr. 39(3): 392-410 (2021) - [j21]Qian Zeng, Ming Zhong
, Yuanyuan Zhu, Tieyun Qian, Jianxin Li:
Business location planning based on a novel geo-social influence diffusion model. Inf. Sci. 559: 61-74 (2021) - [j20]Ke Sun, Tieyun Qian
, Xu Chen, Ming Zhong
:
Context-aware seq2seq translation model for sequential recommendation. Inf. Sci. 581: 60-72 (2021) - [c62]Zhuang Chen, Tieyun Qian:
Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL/IJCNLP (1) 2021: 317-327 - [c61]Wanli Li, Tieyun Qian
, Xu Chen, Kejian Tang, Shaohui Zhan, Tao Zhan:
Exploit a Multi-head Reference Graph for Semi-supervised Relation Extraction. IJCNN 2021: 1-7 - [c60]Congcong Jiang, Tieyun Qian
, Zhuang Chen, Kejian Tang, Shaohui Zhan, Tao Zhan:
Generating Pseudo Connectives with MLMs for Implicit Discourse Relation Recognition. PRICAI (2) 2021: 113-126 - [c59]Yile Liang, Tieyun Qian
, Qing Li, Hongzhi Yin
:
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR 2021: 747-756 - [i8]Yile Liang, Tieyun Qian:
Recommending Accurate and Diverse Items Using Bilateral Branch Network. CoRR abs/2101.00781 (2021) - [i7]Tieyun Qian, Yile Liang, Qing Li, Xuan Ma, Ke Sun, Zhiyong Peng:
Intent Disentanglement and Feature Self-supervision for Novel Recommendation. CoRR abs/2106.14388 (2021) - [i6]Mi Zhang, Tieyun Qian:
Multi-Scale Feature and Metric Learning for Relation Extraction. CoRR abs/2107.13425 (2021) - [i5]Wanli Li, Tieyun Qian:
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. CoRR abs/2112.01048 (2021) - 2020
- [j19]Huilin Yu, Tieyun Qian
, Yile Liang, Bing Liu:
AGTR: Adversarial Generation of Target Review for Rating Prediction. Data Sci. Eng. 5(4): 346-359 (2020) - [j18]Yile Liang, Tieyun Qian
, Huilin Yu:
ARTAN: Align reviews with topics in attention network for rating prediction. Neurocomputing 403: 337-347 (2020) - [j17]Yiqi Chen, Tieyun Qian
:
Relation constrained attributed network embedding. Inf. Sci. 515: 341-351 (2020) - [j16]Xiaoya Tang, Tieyun Qian
, Zhenni You:
Generating behavior features for cold-start spam review detection with adversarial learning. Inf. Sci. 526: 274-288 (2020) - [c58]Ke Sun, Tieyun Qian, Tong Chen
, Yile Liang, Quoc Viet Hung Nguyen
, Hongzhi Yin
:
Where to Go Next: Modeling Long- and Short-Term User Preferences for Point-of-Interest Recommendation. AAAI 2020: 214-221 - [c57]Zhuang Chen
, Tieyun Qian:
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020: 3685-3694 - [c56]Huilin Yu, Tieyun Qian
, Yile Liang, Bing Liu:
Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) 2020: 73-89 - [c55]Zhuang Chen, Tieyun Qian:
Enhancing Aspect Term Extraction with Soft Prototypes. EMNLP (1) 2020: 2107-2117 - [c54]Mi Zhang, Tieyun Qian:
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. EMNLP (1) 2020: 3540-3549 - [i4]Wanli Li, Tieyun Qian:
Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction. CoRR abs/2010.11383 (2020)
2010 – 2019
- 2019
- [j15]Xuhui Li, Yanqiu Wu, Xiaoguang Wang, Tieyun Qian
, Liang Hong:
Towards a semantics representation framework for narrative images. Electron. Libr. 37(3): 386-400 (2019) - [j14]Fei Wang, Tieyun Qian
, Bin Liu, Zhiyong Peng:
Patent expanded retrieval via word embedding under composite-domain perspectives. Frontiers Comput. Sci. 13(5): 1048-1061 (2019) - [j13]Yongfeng Gu
, Jifeng Xuan
, Hongyu Zhang
, Lanxin Zhang, Qingna Fan, Xiaoyuan Xie, Tieyun Qian
:
Does the fault reside in a stack trace? Assisting crash localization by predicting crashing fault residence. J. Syst. Softw. 148: 88-104 (2019) - [j12]Peisong Zhu, Zhuang Chen
, Haojie Zheng, Tieyun Qian
:
Aspect Aware Learning for Aspect Category Sentiment Analysis. ACM Trans. Knowl. Discov. Data 13(6): 55:1-55:21 (2019) - [j11]Tieyun Qian
, Bei Liu, Quoc Viet Hung Nguyen
, Hongzhi Yin
:
Spatiotemporal Representation Learning for Translation-Based POI Recommendation. ACM Trans. Inf. Syst. 37(2): 18:1-18:24 (2019) - [c53]Zhuang Chen
, Tieyun Qian:
Transfer Capsule Network for Aspect Level Sentiment Classification. ACL (1) 2019: 547-556 - [c52]Ke Sun, Tieyun Qian
, Hongzhi Yin
, Tong Chen
, Yiqi Chen, Ling Chen
:
What Can History Tell Us? CIKM 2019: 1593-1602 - [c51]Yile Liang, Tieyun Qian
, Huilin Yu:
Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA (3) 2019: 249-253 - [c50]Xiaoya Tang, Tieyun Qian
, Zhenni You:
Generating Behavior Features for Cold-Start Spam Review Detection. DASFAA (3) 2019: 324-328 - [c49]Ming Zhong, Huanyu Cheng, Ying Wang, Yuanyuan Zhu, Tieyun Qian
, Jianxin Li
:
Towards both Local and Global Query Result Diversification. DASFAA (2) 2019: 464-481 - [c48]Huanyu Cheng, Ming Zhong
, Jian Wang, Tieyun Qian
:
Keyword Search Based Mashup Construction with Guaranteed Diversity. DEXA (2) 2019: 423-433 - [c47]Yunkai Yang, Tieyun Qian
, Zhuang Chen
:
Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention. ICONIP (2) 2019: 643-655 - [i3]Ke Sun, Tieyun Qian:
Seq2seq Translation Model for Sequential Recommendation. CoRR abs/1912.07274 (2019) - [i2]Tieyun Qian, Yile Liang, Qing Li:
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. CoRR abs/1912.12398 (2019) - 2018
- [j10]Tieyun Qian
, Bei Liu, Liang Hong, Zhenni You:
Time and Location Aware Points of Interest Recommendation in Location-Based Social Networks. J. Comput. Sci. Technol. 33(6): 1219-1230 (2018) - [c46]Yiqi Chen, Tieyun Qian
, Huan Liu, Ke Sun:
"Bridge": Enhanced Signed Directed Network Embedding. CIKM 2018: 773-782 - [c45]Peisong Zhu, Tieyun Qian:
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018: 1077-1087 - [c44]Zhenni You, Tieyun Qian, Bing Liu:
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895 - [c43]Yiqi Chen, Tieyun Qian
, Ming Zhong, Xuhui Li:
BASSI: Balance and Status Combined Signed Network Embedding. DASFAA (1) 2018: 55-63 - [c42]Ming Zhong
, Qian Zeng, Yuanyuan Zhu, Jianxin Li
, Tieyun Qian
:
Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks. DASFAA (1) 2018: 355-371 - [c41]Zhenni You, Tieyun Qian
:
Learning a Joint Representation for Classification of Networked Documents. ICONIP (5) 2018: 199-209 - [c40]Ke Sun, Tieyun Qian
:
Exploiting User and Item Attributes for Sequential Recommendation. ICONIP (5) 2018: 370-380 - 2017
- [j9]Peisong Zhu, Tieyun Qian, Minquan Wu:
基于社会化表示的用户性别识别 (Identifying Users' Gender via Social Representations). 计算机科学 44(Z11): 160-165 (2017) - [c39]Ying Wang, Ming Zhong, Yuanyuan Zhu, Xuhui Li, Tieyun Qian
:
Diversified Top-k Keyword Query Interpretation on Knowledge Graphs. APWeb/WAIM (1) 2017: 541-555 - [c38]Yiqi Chen, Tieyun Qian
, Ming Zhong, Xuhui Li:
Exploit Label Embeddings for Enhancing Network Classification. DEXA (2) 2017: 450-458 - [c37]Yiqi Chen, Tieyun Qian
:
SLICE: Structural and Label Information Combined Embedding for Networks. ICONIP (2) 2017: 73-81 - [e4]Ji-Rong Wen, Jian-Yun Nie, Tong Ruan, Yiqun Liu, Tieyun Qian:
Information Retrieval - 23rd China conference, CCIR 2017, Shanghai, China, July 13-14, 2017, Proceedings. Lecture Notes in Computer Science 10390, Springer 2017, ISBN 978-3-319-68698-1 [contents] - [i1]Bei Liu, Tieyun Qian, Bing Liu, Liang Hong, Zhenni You, Yuxiang Li:
Learning Spatiotemporal-Aware Representation for POI Recommendation. CoRR abs/1704.08853 (2017) - 2016
- [j8]Tieyun Qian
, Bing Liu, Li Chen, Zhiyong Peng, Ming Zhong, Guoliang He, Xuhui Li, Gang Xu:
Tri-Training for authorship attribution with limited training data: a comprehensive study. Neurocomputing 171: 798-806 (2016) - [c36]Qian Yan, Hao Huang, Yunjun Gao, Chen Ying, Qingyang Hu, Tieyun Qian
, Qinming He:
Modeling for Noisy Labels of Crowd Workers. APWeb (2) 2016: 227-238 - [c35]Song Wang, Hao Huang, Yunjun Gao, Tieyun Qian
, Liang Hong, Zhiyong Peng:
Fast Rare Category Detection Using Nearest Centroid Neighborhood. APWeb (1) 2016: 383-394 - [c34]Peisong Zhu, Tieyun Qian
, Zhenni You, Xuhui Li:
Inferring Lurkers' Gender by Their Interest Tags. DEXA (2) 2016: 263-271 - [c33]Peisong Zhu, Tieyun Qian
, Ming Zhong, Xuhui Li:
Inferring Users' Gender from Interests: A Tag Embedding Approach. ICONIP (4) 2016: 86-94 - [c32]Li Chen, Tieyun Qian, Peisong Zhu, Zhenni You:
Learning User Embedding Representation for Gender Prediction. ICTAI 2016: 263-269 - [c31]Yongfeng Gu
, Jifeng Xuan
, Tieyun Qian
:
Automatic Reproducible Crash Detection. SATE 2016: 48-53 - [c30]Baochao Zhang, Tieyun Qian
, Yiqi Chen, Zhenni You:
Social Spammer Detection via Structural Properties in Ego Network. SMP 2016: 245-256 - [c29]Zhenni You, Diqian Wu, Yi Wang, Tieyun Qian
:
Fast and accurate identification of implicit enterprise users in social media. WebDB 2016: 1 - [c28]Zhenni You, Tieyun Qian
, Baochao Zhang, Shi Ying:
Identifying Implicit Enterprise Users from the Imbalanced Social Data. WISE (2) 2016: 94-101 - [e3]Huajun Chen, Heng Ji, Le Sun, Haixun Wang, Tieyun Qian
, Tong Ruan:
Knowledge Graph and Semantic Computing: Semantic, Knowledge, and Linked Big Data - First China Conference, CCKS 2016, Beijing, China, September 19-22, 2016, Revised Selected Papers. Communications in Computer and Information Science 650, Springer 2016, ISBN 978-981-10-3167-0 [contents] - 2015
- [j7]Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian
, Lingling Wang:
Early classification on multivariate time series. Neurocomputing 149: 777-787 (2015) - [j6]Tieyun Qian
, Bing Liu, Qing Li
, Jianfeng Si:
Review Authorship Attribution in a Similarity Space. J. Comput. Sci. Technol. 30(1): 200-213 (2015) - [c27]Guoliang He, Yong Duan, Yifei Li, Tieyun Qian
, Jinrong He, Xiangyang Jia:
Active Learning for Multivariate Time Series Classification with Positive Unlabeled Data. ICTAI 2015: 178-185 - [c26]Jiahui Zhu, Xuhui Li, Min Peng, Jiajia Huang, Tieyun Qian
, Jimin Huang
, Jiping Liu, Ri Hong, Pinglan Liu:
Coherent Topic Hierarchy: A Strategy for Topic Evolutionary Analysis on Microblog Feeds. WAIM 2015: 70-82 - [c25]Li Chen, Tieyun Qian
, Fei Wang, Zhenni You, Qingxi Peng, Ming Zhong:
Age Detection for Chinese Users in Weibo. WAIM 2015: 83-95 - [c24]Xuhui Li, Yijun Guan, Mengchi Liu
, Rui Cai, Ming Zhong, Tieyun Qian
:
LDM: A DTD Schema Mapping Language Based on Logic Patterns. WAIM 2015: 559-562 - [e2]An Liu, Yoshiharu Ishikawa, Tieyun Qian, Sarana Nutanong
, Muhammad Aamir Cheema:
Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9052, Springer 2015, ISBN 978-3-319-22323-0 [contents] - 2014
- [j5]Tieyun Qian
, Qing Li
, Jaideep Srivastava
, Zhiyong Peng, Yang Yang, Shuo Wang:
Exploiting small world property for network clustering. World Wide Web 17(3): 405-425 (2014) - [j4]Jianfeng Si, Qing Li
, Tieyun Qian
, Xiaotie Deng
:
Users' interest grouping from online reviews based on topic frequency and order. World Wide Web 17(6): 1321-1342 (2014) - [j3]Tieyun Qian
, Qing Li
, Bing Liu, Hui Xiong, Jaideep Srivastava
, Phillip C.-Y. Sheu
:
Topic formation and development: a core-group evolving process. World Wide Web 17(6): 1343-1373 (2014) - [c23]Tieyun Qian
, Bing Liu, Li Chen, Zhiyong Peng:
Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) 2014: 345-351 - [c22]Tieyun Qian
, Bing Liu, Ming Zhong, Guoliang He:
Co-training on authorship attribution with very fewlabeled examples: methods vs. views. SIGIR 2014: 903-906 - [c21]Mengdi Fan, Tieyun Qian
, Li Chen, Bin Liu, Ming Zhong, Guoliang He:
Authorship Attribution with Very Few Labeled Data: A Co-training Approach. WAIM 2014: 657-668 - 2013
- [c20]Junlong Huang, Tieyun Qian
, Guoliang He, Ming Zhong, Qingxi Peng:
Detecting Professional Spam Reviewers. ADMA (2) 2013: 288-299 - [c19]Bin Liu, Tieyun Qian
:
A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks. ADMA (1) 2013: 360-371 - [c18]Guoliang He, Yong Duan, Tieyun Qian
, Xu Chen:
Early prediction on imbalanced multivariate time series. CIKM 2013: 1889-1892 - [c17]Ming Zhong, Mengchi Liu, Zhifeng Bao, Xuhui Li, Tieyun Qian
:
MVP Index: Towards Efficient Known-Item Search on Large Graphs. DASFAA (1) 2013: 193-200 - [c16]Tieyun Qian, Bing Liu:
Identifying Multiple Userids of the Same Author. EMNLP 2013: 1124-1135 - [c15]Hongwei Yao, Tieyun Qian
, Li Chen, Manyun Qian, Xueyu Mo:
An Empirical Evaluation of SVM on Meta Features for Authorship Attribution of Online Texts. MIKE 2013: 28-37 - 2012
- [c14]Tieyun Qian
, Jianfeng Si, Qing Li
, Qian Yu:
Leveraging Network Structure for Incremental Document Clustering. APWeb 2012: 342-353 - [c13]Jianfeng Si, Qing Li
, Tieyun Qian
, Xiaotie Deng
:
Discovering K Web User Groups with Specific Aspect Interests. MLDM 2012: 321-335 - [c12]Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng:
Hierarchical Clustering on HDP Topics to build a Semantic Tree from Text. VLDS 2012: 9-14 - 2011
- [c11]Yicong Liang, Qing Li
, Tieyun Qian
:
Finding Relevant Papers Based on Citation Relations. WAIM 2011: 403-414 - [c10]Tieyun Qian
, Qing Li
, Jaideep Srivastava
:
A framework for evaluating network measures for functional importance. WWW (Companion Volume) 2011: 109-110 - [e1]Haixun Wang, Shijun Li, Satoshi Oyama, Xiaohua Hu, Tieyun Qian:
Web-Age Information Management - 12th International Conference, WAIM 2011, Wuhan, China, September 14-16, 2011. Proceedings. Lecture Notes in Computer Science 6897, Springer 2011, ISBN 978-3-642-23534-4 [contents] - 2010
- [c9]Tieyun Qian
, Jiangbo Liu:
Influence maximization through identifying seed nodes from implicit social networks. ICUIMC 2010: 28 - [c8]Tieyun Qian
, Yang Yang, Shuo Wang:
Refining Graph Partitioning for Social Network Clustering. WISE 2010: 77-90
2000 – 2009
- 2009
- [c7]Tieyun Qian
, Qing Li
, Bing Liu, Hui Xiong, Jaideep Srivastava
, Phillip C.-Y. Sheu
:
What's behind topic formation and development: a perspective of community core groups. CIKM 2009: 1843-1846 - [c6]Tieyun Qian
, Jaideep Srivastava
, Zhiyong Peng, Phillip C.-Y. Sheu
:
Simultaneously Finding Fundamental Articles and New Topics Using a Community Tracking Method. PAKDD 2009: 796-803 - 2008
- [j2]Enhong Chen, Huanhuan Cao, Qing Li
, Tieyun Qian
:
Efficient strategies for tough aggregate constraint-based sequential pattern mining. Inf. Sci. 178(6): 1498-1518 (2008) - [c5]Tieyun Qian
, Phillip C.-Y. Sheu
, Shijun Li, Lina Wang:
A Scientific Theme Emergence Detection Approach Based on Citation Graph Analysis. ICTAI (2) 2008: 269-273 - 2007
- [j1]Tieyun Qian
, Hui Xiong, Yuanzhen Wang, Enhong Chen:
On the strength of hyperclique patterns for text categorization. Inf. Sci. 177(19): 4040-4058 (2007) - 2006
- [c4]Tieyun Qian
, Hui Xiong, Yuanzhen Wang, Enhong Chen:
Adapting association patterns for text categorization: weaknesses and enhancements. CIKM 2006: 782-783 - [c3]Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu
, Tieyun Qian
:
An Evolutionary Computational Method for N-Connection Subgraph Discovery. ICTAI 2006: 169-178 - [c2]Tieyun Qian
, Yuanzhen Wang, Langgang Xiang, WeiHua Gong:
Feature Selection, Rule Extraction, and Score Model: Making ATC Competitive with SVM. RSKT 2006: 476-481 - 2005
- [c1]Tieyun Qian
, Yuanzhen Wang, Hao Long, Jianlin Feng:
2-PS Based Associative Text Classification. DaWaK 2005: 378-387
Coauthor Index
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