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ORCIDAixin Sun
孙爱欣
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- affiliation: Nanyang Technological University, Singapore
- unicode name: 孙爱欣
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2020 – today
- 2022
[j55]Jianxin Li
, Aixin Sun, Ziyu Guan, Muhammad Aamir Cheema, Geyong Min:
Real-time dynamic network learning for location inference modelling and computing. Neurocomputing 472: 198-200 (2022)- [j54]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-Based Question Answering Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4252-4266 (2022) - [j53]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. IEEE Trans. Knowl. Data Eng. 34(1): 50-70 (2022) - [c151]Yubo Ma, Zehao Wang, Mukai Li, Yixin Cao, Meiqi Chen, Xinze Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao:
MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities. ACL (demo) 2022: 231-239 - [c150]Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng:
An Embarrassingly Simple Model for Dialogue Relation Extraction. ICASSP 2022: 6707-6711 - [c149]Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun:
A Survey on Neural Open Information Extraction: Current Status and Future Directions. IJCAI 2022: 5694-5701 - [c148]Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. NAACL-HLT (Findings) 2022: 1670-1680 - [c147]Ting Lin, Aixin Sun, Yequan Wang:
Aspect-Based Sentiment Analysis Through EDU-Level Attentions. PAKDD (1) 2022: 156-168 - [c146]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. SIGIR 2022: 1535-1544 - [c145]Siqi Lai, Erli Meng, Fan Zhang, Chenliang Li, Bin Wang, Aixin Sun:
An Attribute-Driven Mirror Graph Network for Session-based Recommendation. SIGIR 2022: 1674-1683 - [c144]Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long:
Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. SIGIR 2022: 2319-2324 - [i44]Grace E. Lee, Aixin Sun:
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. CoRR abs/2201.05648 (2022) - [i43]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
The Elements of Temporal Sentence Grounding in Videos: A Survey and Future Directions. CoRR abs/2201.08071 (2022) - [i42]Ting Lin, Aixin Sun, Yequan Wang:
Aspect-based Sentiment Analysis through EDU-level Attentions. CoRR abs/2202.02535 (2022) - [i41]Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang:
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis. CoRR abs/2203.12254 (2022) - [i40]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i39]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Xin Jiang, Yang You:
Deeper vs Wider: A Revisit of Transformer Configuration. CoRR abs/2205.10505 (2022) - [i38]Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, Jian Sun:
A Survey on Neural Open Information Extraction: Current Status and Future Directions. CoRR abs/2205.11725 (2022) - [i37]Xinyu Zou, Zhi Hu, Yiming Zhao, Xuchu Ding, Zhongyi Liu, Chenliang Li, Aixin Sun:
Automatic Expert Selection for Multi-Scenario and Multi-Task Search. CoRR abs/2205.14321 (2022) - 2021
- [j52]Grace E. Lee, Aixin Sun:
Understanding the stability of medical concept embeddings. J. Assoc. Inf. Sci. Technol. 72(3): 346-356 (2021) - [j51]Feiheng Luo, Aixin Sun, Aravind Sesagiri Raamkumar, Mojisola Erdt, Yin-Leng Theng:
Will Your Paper Get Promoted by a Citation? A Case Study of Citation Promoter in Computer Science Discipline. IEEE Trans. Emerg. Top. Comput. 9(1): 238-245 (2021) - [j50]Zhe Chen, Aixin Sun, Xiaokui Xiao:
Incremental Community Detection on Large Complex Attributed Network. ACM Trans. Knowl. Discov. Data 15(6): 109:1-109:20 (2021) - [j49]Jing Li, Aixin Sun, Yukun Ma:
Neural Named Entity Boundary Detection. IEEE Trans. Knowl. Data Eng. 33(4): 1790-1795 (2021) - [c143]Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
GDPNet: Refining Latent Multi-View Graph for Relation Extraction. AAAI 2021: 14194-14202 - [c142]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Parallel Attention Network with Sequence Matching for Video Grounding. ACL/IJCNLP (Findings) 2021: 776-790 - [c141]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. ACL/IJCNLP (Findings) 2021: 2377-2389 - [c140]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CIKM 2021: 201-210 - [c139]Yong Liu, Susen Yang, Chenyi Lei, Guoxin Wang, Haihong Tang, Juyong Zhang, Aixin Sun, Chunyan Miao:
Pre-training Graph Transformer with Multimodal Side Information for Recommendation. ACM Multimedia 2021: 2853-2861 - [c138]Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. SIGIR 2021: 685-695 - [c137]Xin Zheng, Aixin Sun, Karthik Muthuswamy:
Tweet-aware News Summarization with Dual-Attention Mechanism. WWW (Companion Volume) 2021: 473-480 - [i36]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Natural Language Video Localization: A Revisit in Span-based Question Answering Framework. CoRR abs/2102.13558 (2021) - [i35]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Wenjie Zhang, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. CoRR abs/2105.00822 (2021) - [i34]Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
DocOIE: A Document-level Context-Aware Dataset for OpenIE. CoRR abs/2105.04271 (2021) - [i33]Hao Zhang, Aixin Sun, Wei Jing, Guoshun Nan, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Video Corpus Moment Retrieval with Contrastive Learning. CoRR abs/2105.06247 (2021) - [i32]Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh:
Parallel Attention Network with Sequence Matching for Video Grounding. CoRR abs/2105.08481 (2021) - [i31]Xin Zhou, Aixin Sun, Yong Liu, Jie Zhang, Chunyan Miao:
SelfCF: A Simple Framework for Self-supervised Collaborative Filtering. CoRR abs/2107.03019 (2021) - [i30]Yiyi Liu, Yequan Wang, Aixin Sun, Zheng Zhang, Jiafeng Guo, Xuying Meng:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. CoRR abs/2109.03587 (2021) - [i29]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Towards Debiasing Temporal Sentence Grounding in Video. CoRR abs/2111.04321 (2021) - [i28]Chen Zhe, Aixin Sun:
DP-GCN: Node Classification Based on Both Connectivity and Topology Structure Convolutions for Risky Seller Detection. CoRR abs/2112.04757 (2021) - [i27]Grace E. Lee, Aixin Sun:
Mirror Matching: Document Matching Approach in Seed-driven Document Ranking for Medical Systematic Reviews. CoRR abs/2112.14318 (2021) - 2020
- [j48]Zhiqian Zhang, Chenliang Li, Zhiyong Wu, Aixin Sun, Dengpan Ye, Xiangyang Luo:
NEXT: a neural network framework for next POI recommendation. Frontiers Comput. Sci. 14(2): 314-333 (2020) - [j47]Minh C. Phan, Aixin Sun:
Collective Named Entity Recognition in User Comments via Parameterized Label Propagation. J. Assoc. Inf. Sci. Technol. 71(5): 568-577 (2020) - [j46]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient approximation algorithms for adaptive influence maximization. VLDB J. 29(6): 1385-1406 (2020) - [c136]Jianglei Han, Aixin Sun:
DeepRouting: A Deep Neural Network Approach for Ticket Routing in Expert Network. SCC 2020: 386-393 - [c135]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. AAAI 2020: 7871-7878 - [c134]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Span-based Localizing Network for Natural Language Video Localization. ACL 2020: 6543-6554 - [c133]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. ICDE 2020: 649-660 - [c132]Zhe Chen, Aixin Sun:
Anomaly Detection on Dynamic Bipartite Graph with Burstiness. ICDM 2020: 966-971 - [c131]Ting Lin, Aixin Sun:
Sentiment Prediction using Attention on User-Specific Rating Distribution. ICTIR 2020: 101-104 - [c130]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020: 229-238 - [c129]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. SIGIR 2020: 1749-1752 - [e6]Fu Lee Wang, Haoran Xie, Wai Lam, Aixin Sun, Lun-Wei Ku, Tianyong Hao, Wei Chen, Tak-Lam Wong, Xiaohui Tao:
Information Retrieval Technology - 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, November 7-9, 2019, Proceedings. Lecture Notes in Computer Science 12004, Springer 2020, ISBN 978-3-030-42834-1 [contents] - [i26]Jianglei Han, Jing Li, Aixin Sun:
UFTR: A Unified Framework for Ticket Routing. CoRR abs/2003.00703 (2020) - [i25]Keke Huang, Jing Tang, Kai Han, Xiaokui Xiao, Wei Chen, Aixin Sun, Xueyan Tang, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Influence Maximization. CoRR abs/2004.06469 (2020) - [i24]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Span-based Localizing Network for Natural Language Video Localization. CoRR abs/2004.13931 (2020) - [i23]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR abs/2005.10549 (2020) - [i22]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Re-visit of the Popularity Baseline in Recommender Systems. CoRR abs/2005.13829 (2020) - [i21]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
On Offline Evaluation of Recommender Systems. CoRR abs/2010.11060 (2020) - [i20]Xiaocong Chen, Lina Yao, Aixin Sun, Xianzhi Wang, Xiwei Xu, Liming Zhu:
Generative Inverse Deep Reinforcement Learning for Online Recommendation. CoRR abs/2011.02248 (2020) - [i19]Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
GDPNet: Refining Latent Multi-View Graph for Relation Extraction. CoRR abs/2012.06780 (2020) - [i18]Fuzhao Xue, Aixin Sun, Hao Zhang, Eng Siong Chng:
An Embarrassingly Simple Model for Dialogue Relation Extraction. CoRR abs/2012.13873 (2020)
2010 – 2019
- 2019
- [j45]Shuai Zhang, Lina Yao, Aixin Sun, Yi Tay:
Deep Learning Based Recommender System: A Survey and New Perspectives. ACM Comput. Surv. 52(1): 5:1-5:38 (2019) - [j44]Xin Zheng, Aixin Sun:
Collecting event-related tweets from twitter stream. J. Assoc. Inf. Sci. Technol. 70(2): 176-186 (2019) - [j43]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. IEEE Trans. Knowl. Data Eng. 31(7): 1383-1396 (2019) - [j42]Jin Wang, Jun Luo, Sinno Jialin Pan, Aixin Sun:
Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots. IEEE Trans. Mob. Comput. 18(4): 896-909 (2019) - [j41]Chenliang Li, Shiqian Chen, Jian Xing, Aixin Sun, Zongyang Ma:
Seed-Guided Topic Model for Document Filtering and Classification. ACM Trans. Inf. Syst. 37(1): 9:1-9:37 (2019) - [j40]Jing Li, Zhenchang Xing, Aixin Sun:
LinkLive: discovering Web learning resources for developers from Q&A discussions. World Wide Web 22(4): 1699-1725 (2019) - [c128]Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. ACL (1) 2019: 778-787 - [c127]Minh C. Phan, Aixin Sun, Yi Tay:
Robust Representation Learning of Biomedical Names. ACL (1) 2019: 3275-3285 - [c126]Xin Zheng, Aixin Sun, Jing Li, Karthik Muthuswamy:
Subtopic-driven Multi-Document Summarization. EMNLP/IJCNLP (1) 2019: 3151-3160 - [c125]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Panos Kalnis:
AUC-MF: Point of Interest Recommendation with AUC Maximization. ICDE 2019: 1558-1561 - [c124]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. IJCAI 2019: 6581-6583 - [c123]Chen Zhe, Aixin Sun, Xiaokui Xiao:
Community Detection on Large Complex Attribute Network. KDD 2019: 2041-2049 - [c122]Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. SIGIR 2019: 1149-1152 - [c121]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. SIGMOD Conference 2019: 1096-1113 - [c120]Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng:
Learning Travel Time Distributions with Deep Generative Model. WWW 2019: 1017-1027 - [c119]Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu:
Aspect-level Sentiment Analysis using AS-Capsules. WWW 2019: 2033-2044 - [i17]Grace E. Lee, Aixin Sun:
Understanding Stability of Medical Concept Embeddings: Analysis and Prediction. CoRR abs/1904.09552 (2019) - [i16]Grace E. Lee, Aixin Sun:
A Study on Agreement in PICO Span Annotations. CoRR abs/1904.09557 (2019) - [i15]Jiaxin Pei, Aixin Sun, Chenliang Li:
Targeted Sentiment Analysis: A Data-Driven Categorization. CoRR abs/1905.03423 (2019) - [i14]Shuai Zhang, Yi Tay, Lina Yao, Bin Wu, Aixin Sun:
DeepRec: An Open-source Toolkit for Deep Learning based Recommendation. CoRR abs/1905.10536 (2019) - [i13]Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. CoRR abs/1906.01265 (2019) - [i12]Jing Tang, Keke Huang, Xiaokui Xiao, Laks V. S. Lakshmanan, Xueyan Tang, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Seed Minimization. CoRR abs/1907.09668 (2019) - [i11]Keke Huang, Jing Tang, Xiaokui Xiao, Aixin Sun, Andrew Lim:
Efficient Approximation Algorithms for Adaptive Target Profit Maximization. CoRR abs/1910.13073 (2019) - [i10]Jialong Han, Aixin Sun, Haisong Zhang, Chenliang Li, Shuming Shi:
CASE: Context-Aware Semantic Expansion. CoRR abs/1912.13194 (2019) - 2018
- [j39]Hongkui Tu, Jiahui Wen, Aixin Sun, Xiaodong Wang:
Joint Implicit and Explicit Neural Networks for Question Recommendation in CQA Services. IEEE Access 6: 73081-73092 (2018) - [j38]Jing Li, Aixin Sun, Zhenchang Xing:
Learning to answer programming questions with software documentation through social context embedding. Inf. Sci. 448-449: 36-52 (2018) - [j37]Jing Li, Aixin Sun, Zhenchang Xing:
To Do or Not To Do: Distill crowdsourced negative caveats to augment api documentation. J. Assoc. Inf. Sci. Technol. 69(12): 1460-1475 (2018) - [j36]Wayne Xin Zhao, Ningnan Zhou, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y. Chang:
A time-aware trajectory embedding model for next-location recommendation. Knowl. Inf. Syst. 56(3): 559-579 (2018) - [j35]Kai Han, Keke Huang, Xiaokui Xiao, Jing Tang, Aixin Sun, Xueyan Tang:
Efficient Algorithms for Adaptive Influence Maximization. Proc. VLDB Endow. 11(9): 1029-1040 (2018) - [j34]Feiheng Luo, Aixin Sun, Mojisola Erdt, Aravind Sesagiri Raamkumar, Yin-Leng Theng:
Exploring prestigious citations sourced from top universities in bibliometrics and altmetrics: a case study in the computer science discipline. Scientometrics 114(1): 1-17 (2018) - [j33]Surendra Sedhai, Aixin Sun:
Semi-Supervised Spam Detection in Twitter Stream. IEEE Trans. Comput. Soc. Syst. 5(1): 169-175 (2018) - [j32]Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan:
Linking Fine-Grained Locations in User Comments. IEEE Trans. Knowl. Data Eng. 30(1): 59-72 (2018) - [j31]Xin Zheng, Jialong Han, Aixin Sun:
A Survey of Location Prediction on Twitter. IEEE Trans. Knowl. Data Eng. 30(9): 1652-1671 (2018) - [j30]Xin Zheng, Jialong Han, Aixin Sun:
Correction to A Survey of Location Prediction on Twitter. IEEE Trans. Knowl. Data Eng. 30(11): 2227 (2018) - [c118]Jianglei Han, Ka Hian Goh, Aixin Sun, Mohammad Akbari:
Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets. CIKM 2018: 2263-2271 - [c117]Jialong Han, Aixin Sun, Gao Cong, Wayne Xin Zhao, Zongcheng Ji, Minh C. Phan:
Linking Fine-Grained Locations in User Comments (Extended Abstract). ICDE 2018: 1763-1764 - [c116]Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. IJCAI 2018: 3669-3675 - [c115]Jing Li, Aixin Sun, Shafiq R. Joty:
SegBot: A Generic Neural Text Segmentation Model with Pointer Network. IJCAI 2018: 4166-4172 - [c114]Grace E. Lee, Aixin Sun:
Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine. SIGIR 2018: 455-464 - [c113]Boon-Siew Seah, Aixin Sun, Sourav S. Bhowmick:
Killing Two Birds With One Stone: Concurrent Ranking of Tags and Comments of Social Images. SIGIR 2018: 937-940 - [c112]Minh C. Phan, Aixin Sun:
CoNEREL: Collective Information Extraction in News Articles. SIGIR 2018: 1273-1276 - [c111]Jing Li, Aixin Sun, Zhenchang Xing, Lei Han:
API Caveat Explorer - Surfacing Negative Usages from Practice: An API-oriented Interactive Exploratory Search System for Programmers. SIGIR 2018: 1293-1296 - [c110]Yequan Wang, Aixin Sun, Jialong Han, Ying Liu, Xiaoyan Zhu:
Sentiment Analysis by Capsules. WWW 2018: 1165-1174 - [i9]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All. CoRR abs/1802.01074 (2018) - [i8]Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, Manqing Dong:
NeuRec: On Nonlinear Transformation for Personalized Ranking. CoRR abs/1805.03002 (2018) - [i7]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun:
Next Item Recommendation with Self-Attention. CoRR abs/1808.06414 (2018) - [i6]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition. CoRR abs/1812.09449 (2018) - 2017
- [j29]Surendra Sedhai, Aixin Sun:
An analysis of 14 Million tweets on hashtag-oriented spamming. J. Assoc. Inf. Sci. Technol. 68(7): 1638-1651 (2017) - [j28]Chenliang Li, Aixin Sun:
Extracting fine-grained location with temporal awareness in tweets: A two-stage approach. J. Assoc. Inf. Sci. Technol. 68(7): 1652-1670 (2017) - [j27]Ali Shemshadi, Quan Z. Sheng, Yongrui Qin, Aixin Sun, Wei Emma Zhang, Lina Yao:
Searching for the internet of things: where it is and what it looks like. Pers. Ubiquitous Comput. 21(6): 1097-1112 (2017) - [j26]Chenliang Li, Yu Duan, Haoran Wang, Zhiqian Zhang, Aixin Sun, Zongyang Ma:
Enhancing Topic Modeling for Short Texts with Auxiliary Word Embeddings. ACM Trans. Inf. Syst. 36(2): 11:1-11:30 (2017) - [c109]Xiaoshi Zhong, Aixin Sun, Erik Cambria:
Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules. ACL (1) 2017: 420-429 - [c108]Hongkui Tu, Zongyang Ma, Aixin Sun, Zhiqiang Xu, Xiaodong Wang:
Entity Recognition by Distant Supervision with Soft List Constraint. ADMA 2017: 681-694 - [c107]Feiheng Luo, Aixin Sun, Mojisola Erdt, Aravind Sesagiri Raamkumar, Yin-Leng Theng:
Exploring prestigious citations sourced from top universities across disciplines. ASIST 2017: 251-259 - [c106]Xin Zheng, Aixin Sun, Sibo Wang, Jialong Han:
Semi-Supervised Event-related Tweet Identification with Dynamic Keyword Generation. CIKM 2017: 1619-1628 - [c105]Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, Chenliang Li:
NeuPL: Attention-based Semantic Matching and Pair-Linking for Entity Disambiguation. CIKM 2017: 1667-1676 - [c104]