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2024
[j39]
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Guotong Xue, Ming Zhong, Tieyun Qian, Jianxin Li:
PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks 173: 106155 (2024)
[j38]
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Junyong Yang, Ming Zhong, Yuanyuan Zhu, Tieyun Qian, Mengchi Liu, Jeffrey Xu Yu:
Evolution Forest Index: Towards Optimal Temporal $k$-Core Component Search via Time-Topology Isomorphic Computation. Proc. VLDB Endow. 17(11): 2840-2853 (2024)
[j37]
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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]
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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]
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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)
[c79]
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Hankun Kang, Tieyun Qian:
Implanting LLM's Knowledge via Reading Comprehension Tree for Toxicity Detection. ACL (Findings) 2024: 947-962
[c78]
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Shen Zhou, Yongqi Li, Xin Miao, Tieyun Qian:
An Ensemble-of-Experts Framework for Rehearsal-free Continual Relation Extraction. ACL (Findings) 2024: 1410-1423
[c77]
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Xin Miao, Yongqi Li, Shen Zhou, Tieyun Qian:
Episodic Memory Retrieval from LLMs: A Neuromorphic Mechanism to Generate Commonsense Counterfactuals for Relation Extraction. ACL (Findings) 2024: 2489-2511
[c76]
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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
[c75]
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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
[c74]
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Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang:
Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. NAACL-HLT 2024: 8181-8194
2023
[j34]
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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]
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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]
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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]
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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]
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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]
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Shen Zhou, Tieyun Qian:
On the Strength of Sequence Labeling and Generative Models for Aspect Sentiment Triplet Extraction. ACL (Findings) 2023: 12038-12050
[c72]
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Xin Miao, Yongqi Li, Tieyun Qian:
Generating Commonsense Counterfactuals for Stable Relation Extraction. EMNLP 2023: 5654-5668
[c71]
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Yongqi Li, Yu Yu, Tieyun Qian:
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. EMNLP (Findings) 2023: 8911-8927
[c70]
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  - conf/emnlp/MaQ023
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Xuan Ma, Tieyun Qian, Ke Sun:
Dynamic Open-book Prompt for Conversational Recommender System. EMNLP (Findings) 2023: 9839-9849
[c69]
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  - conf/icde/QianL0023
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Tieyun Qian, Yile Liang, Qing Li, Hui Xiong:
Attribute Graph Neural Networks for Strict Cold Start Recommendation : Extended Abstract. ICDE 2023: 3783-3784
[c68]
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  - conf/ijcai/Zhang00Q23
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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]
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  - conf/pkdd/XuSLQ23
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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]
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Mi Zhang, Tieyun Qian, Ting Zhang, Xin Miao:
Towards Model Robustness: Generating Contextual Counterfactuals for Entities in Relation Extraction. WWW 2023: 1832-1842
[i15]
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  - journals/corr/abs-2301-03770
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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]
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  - journals/corr/abs-2302-06397
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Yongqi Li, Tieyun Qian:
Type-Aware Decomposed Framework for Few-Shot Named Entity Recognition. CoRR abs/2302.06397 (2023)
[i13]
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  - journals/corr/abs-2305-01920
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Wanli Li, Tieyun Qian:
Generative Meta-Learning for Zero-Shot Relation Triplet Extraction. CoRR abs/2305.01920 (2023)
[i12]
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  - journals/corr/abs-2305-14791
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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]
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  - journals/corr/abs-2306-06601
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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]
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  - journals/corr/abs-2309-00361
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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]
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Xiaoying Chen, Mi Zhang, Shengwu Xiong, Tieyun Qian:
On the form of parsed sentences for relation extraction. Knowl. Based Syst. 251: 109184 (2022)
[j28]
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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]
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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]
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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]
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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]
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Zhuang Chen, Tieyun Qian:
Description and demonstration guided data augmentation for sequence tagging. World Wide Web 25(1): 175-194 (2022)
[c65]
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  - conf/dasfaa/MaQLSYZ22
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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]
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Wanli Li, Tieyun Qian:
Graph-based Model Generation for Few-Shot Relation Extraction. EMNLP 2022: 62-71
[c63]
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  - conf/www/JiangQL22
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Congcong Jiang, Tieyun Qian, Bing Liu:
Knowledge Distillation for Discourse Relation Analysis. WWW (Companion Volume) 2022: 210-214
[i9]
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  - journals/corr/abs-2202-10668
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Mi Zhang, Tieyun Qian, Ting Zhang:
Automatically Generating Counterfactuals for Relation Exaction. CoRR abs/2202.10668 (2022)
2021
[j23]
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  - journals/complexity/TangZZZZZZZLQ21
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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]
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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]
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  - journals/isci/Zeng0ZQ021
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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]
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Ke Sun, Tieyun Qian, Xu Chen, Ming Zhong:
Context-aware seq2seq translation model for sequential recommendation. Inf. Sci. 581: 60-72 (2021)
[c62]
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  - conf/acl/0002Q20
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Zhuang Chen, Tieyun Qian:
Bridge-Based Active Domain Adaptation for Aspect Term Extraction. ACL/IJCNLP (1) 2021: 317-327
[c61]
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  - conf/ijcnn/LiQCTZZ21
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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]
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  - conf/pricai/JiangQCTZZ21
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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]
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  - conf/sigir/LiangQLY21
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Yile Liang, Tieyun Qian, Qing Li, Hongzhi Yin:
Enhancing Domain-Level and User-Level Adaptivity in Diversified Recommendation. SIGIR 2021: 747-756
[i8]
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  - journals/corr/abs-2101-00781
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Yile Liang, Tieyun Qian:
Recommending Accurate and Diverse Items Using Bilateral Branch Network. CoRR abs/2101.00781 (2021)
[i7]
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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)
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Mi Zhang, Tieyun Qian:
Multi-Scale Feature and Metric Learning for Relation Extraction. CoRR abs/2107.13425 (2021)
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Wanli Li, Tieyun Qian:
From Consensus to Disagreement: Multi-Teacher Distillation for Semi-Supervised Relation Extraction. CoRR abs/2112.01048 (2021)
2020
[j19]
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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]
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Yile Liang, Tieyun Qian, Huilin Yu:
ARTAN: Align reviews with topics in attention network for rating prediction. Neurocomputing 403: 337-347 (2020)
[j17]
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Yiqi Chen, Tieyun Qian:
Relation constrained attributed network embedding. Inf. Sci. 515: 341-351 (2020)
[j16]
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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]
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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
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Zhuang Chen, Tieyun Qian:
Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020: 3685-3694
[c56]
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Huilin Yu, Tieyun Qian, Yile Liang, Bing Liu:
Adversarial Generation of Target Review for Rating Prediction. DASFAA (2) 2020: 73-89
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Zhuang Chen, Tieyun Qian:
Enhancing Aspect Term Extraction with Soft Prototypes. EMNLP (1) 2020: 2107-2117
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Mi Zhang, Tieyun Qian:
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis. EMNLP (1) 2020: 3540-3549
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Wanli Li, Tieyun Qian:
Exploit Multiple Reference Graphs for Semi-supervised Relation Extraction. CoRR abs/2010.11383 (2020)

2010 – 2019

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2019
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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]
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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]
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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)
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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)
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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]
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Zhuang Chen, Tieyun Qian:
Transfer Capsule Network for Aspect Level Sentiment Classification. ACL (1) 2019: 547-556
[c52]
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Ke Sun, Tieyun Qian, Hongzhi Yin, Tong Chen, Yiqi Chen, Ling Chen:
What Can History Tell Us? CIKM 2019: 1593-1602
[c51]
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Yile Liang, Tieyun Qian, Huilin Yu:
Align Reviews with Topics in Attention Network for Rating Prediction. DASFAA (3) 2019: 249-253
[c50]
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Xiaoya Tang, Tieyun Qian, Zhenni You:
Generating Behavior Features for Cold-Start Spam Review Detection. DASFAA (3) 2019: 324-328
[c49]
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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]
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Huanyu Cheng, Ming Zhong, Jian Wang, Tieyun Qian:
Keyword Search Based Mashup Construction with Guaranteed Diversity. DEXA (2) 2019: 423-433
[c47]
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Yunkai Yang, Tieyun Qian, Zhuang Chen:
Aspect-Level Sentiment Classification with Dependency Rules and Dual Attention. ICONIP (2) 2019: 643-655
[i3]
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Ke Sun, Tieyun Qian:
Seq2seq Translation Model for Sequential Recommendation. CoRR abs/1912.07274 (2019)
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Tieyun Qian, Yile Liang, Qing Li:
Solving Cold Start Problem in Recommendation with Attribute Graph Neural Networks. CoRR abs/1912.12398 (2019)
2018
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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]
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Yiqi Chen, Tieyun Qian, Huan Liu, Ke Sun:
"Bridge": Enhanced Signed Directed Network Embedding. CIKM 2018: 773-782
[c45]
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Peisong Zhu, Tieyun Qian:
Enhanced Aspect Level Sentiment Classification with Auxiliary Memory. COLING 2018: 1077-1087
[c44]
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Zhenni You, Tieyun Qian, Bing Liu:
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection. COLING 2018: 1884-1895
[c43]
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Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li:
BASSI: Balance and Status Combined Signed Network Embedding. DASFAA (1) 2018: 55-63
[c42]
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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]
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Zhenni You, Tieyun Qian:
Learning a Joint Representation for Classification of Networked Documents. ICONIP (5) 2018: 199-209
[c40]
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Ke Sun, Tieyun Qian:
Exploiting User and Item Attributes for Sequential Recommendation. ICONIP (5) 2018: 370-380
2017
[j9]
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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]
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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]
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Yiqi Chen, Tieyun Qian, Ming Zhong, Xuhui Li:
Exploit Label Embeddings for Enhancing Network Classification. DEXA (2) 2017: 450-458
[c37]
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Yiqi Chen, Tieyun Qian:
SLICE: Structural and Label Information Combined Embedding for Networks. ICONIP (2) 2017: 73-81
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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]
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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]
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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]
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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]
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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]
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Peisong Zhu, Tieyun Qian, Zhenni You, Xuhui Li:
Inferring Lurkers' Gender by Their Interest Tags. DEXA (2) 2016: 263-271
[c33]
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Peisong Zhu, Tieyun Qian, Ming Zhong, Xuhui Li:
Inferring Users' Gender from Interests: A Tag Embedding Approach. ICONIP (4) 2016: 86-94
[c32]
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Li Chen, Tieyun Qian, Peisong Zhu, Zhenni You:
Learning User Embedding Representation for Gender Prediction. ICTAI 2016: 263-269
[c31]
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Yongfeng Gu, Jifeng Xuan, Tieyun Qian:
Automatic Reproducible Crash Detection. SATE 2016: 48-53
[c30]
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Baochao Zhang, Tieyun Qian, Yiqi Chen, Zhenni You:
Social Spammer Detection via Structural Properties in Ego Network. SMP 2016: 245-256
[c29]
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Zhenni You, Diqian Wu, Yi Wang, Tieyun Qian:
Fast and accurate identification of implicit enterprise users in social media. WebDB 2016: 1
[c28]
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Zhenni You, Tieyun Qian, Baochao Zhang, Shi Ying:
Identifying Implicit Enterprise Users from the Imbalanced Social Data. WISE (2) 2016: 94-101
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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]
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Guoliang He, Yong Duan, Rong Peng, Xiaoyuan Jing, Tieyun Qian, Lingling Wang:
Early classification on multivariate time series. Neurocomputing 149: 777-787 (2015)
[j6]
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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]
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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]
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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
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Li Chen, Tieyun Qian, Fei Wang, Zhenni You, Qingxi Peng, Ming Zhong:
Age Detection for Chinese Users in Weibo. WAIM 2015: 83-95
[c24]
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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
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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
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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)
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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)
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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]
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Tieyun Qian, Bing Liu, Li Chen, Zhiyong Peng:
Tri-Training for Authorship Attribution with Limited Training Data. ACL (2) 2014: 345-351
[c22]
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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]
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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
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Junlong Huang, Tieyun Qian, Guoliang He, Ming Zhong, Qingxi Peng:
Detecting Professional Spam Reviewers. ADMA (2) 2013: 288-299
[c19]
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Bin Liu, Tieyun Qian:
A Local Greedy Search Method for Detecting Community Structure in Weighted Social Networks. ADMA (1) 2013: 360-371
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Guoliang He, Yong Duan, Tieyun Qian, Xu Chen:
Early prediction on imbalanced multivariate time series. CIKM 2013: 1889-1892
[c17]
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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]
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Tieyun Qian, Bing Liu:
Identifying Multiple Userids of the Same Author. EMNLP 2013: 1124-1135
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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
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Tieyun Qian, Jianfeng Si, Qing Li, Qian Yu:
Leveraging Network Structure for Incremental Document Clustering. APWeb 2012: 342-353
[c13]
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Jianfeng Si, Qing Li, Tieyun Qian, Xiaotie Deng:
Discovering K Web User Groups with Specific Aspect Interests. MLDM 2012: 321-335
[c12]
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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
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Yicong Liang, Qing Li, Tieyun Qian:
Finding Relevant Papers Based on Citation Relations. WAIM 2011: 403-414
[c10]
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Tieyun Qian, Qing Li, Jaideep Srivastava:
A framework for evaluating network measures for functional importance. WWW (Companion Volume) 2011: 109-110
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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]
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Tieyun Qian, Jiangbo Liu:
Influence maximization through identifying seed nodes from implicit social networks. ICUIMC 2010: 28
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Tieyun Qian, Yang Yang, Shuo Wang:
Refining Graph Partitioning for Social Network Clustering. WISE 2010: 77-90

2000 – 2009

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2009
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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]
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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
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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]
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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
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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]
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Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen:
Adapting association patterns for text categorization: weaknesses and enhancements. CIKM 2006: 782-783
[c3]
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Enhong Chen, Xujia Chen, Phillip C.-Y. Sheu, Tieyun Qian:
An Evolutionary Computational Method for N-Connection Subgraph Discovery. ICTAI 2006: 169-178
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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]
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Tieyun Qian, Yuanzhen Wang, Hao Long, Jianlin Feng:
2-PS Based Associative Text Classification. DaWaK 2005: 378-387

Coauthor Index

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