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ORCIDAixin Sun
孙爱欣
Person information
- affiliation: Nanyang Technological University, Singapore
- unicode name: 孙爱欣
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2020 – today
- 2023
[j61]Jie Zou
, Aixin Sun, Cheng Long, Mohammad Aliannejadi, Evangelos Kanoulas:
Asking Clarifying Questions: To benefit or to disturb users in Web search? Inf. Process. Manag. 60(2): 103176 (2023)- [j60]Ting Lin, Aixin Sun, Yequan Wang:
EDU-Capsule: aspect-based sentiment analysis at clause level. Knowl. Inf. Syst. 65(2): 517-541 (2023) - [j59]Hao Zhang, Aixin Sun, Wei Jing, Joey Tianyi Zhou:
Temporal Sentence Grounding in Videos: A Survey and Future Directions. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10443-10465 (2023) - [j58]Xiaocong Chen, Lina Yao, Xianzhi Wang, Aixin Sun, Quan Z. Sheng:
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference. IEEE Trans. Knowl. Data Eng. 35(10): 9878-9889 (2023) - [j57]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
A Critical Study on Data Leakage in Recommender System Offline Evaluation. ACM Trans. Inf. Syst. 41(3): 75:1-75:27 (2023) - [c167]Wang Jing, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. ACL (1) 2023: 1387-1400 - [c166]Yin Wu, Aixin Sun:
Negation Scope Refinement via Boundary Shift Loss. ACL (Findings) 2023: 6090-6099 - [c165]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. ACL (Findings) 2023: 10129-10147 - [c164]Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu:
A Synthetic Data Generation Framework for Grounded Dialogues. ACL (1) 2023: 10866-10882 - [c163]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. ACL (1) 2023: 11211-11236 - [c162]Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam:
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. ACL (Findings) 2023: 11489-11503 - [c161]Jing Li, Aixin Sun, Jianglei Han, Chenliang Li:
A Survey on Deep Learning for Named Entity Recognition : Extended Abstract. ICDE 2023: 3817-3818 - [c160]Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You:
A Study on Transformer Configuration and Training Objective. ICML 2023: 38913-38925 - [c159]Aixin Sun:
On Challenges of Evaluating Recommender Systems in an Offline Setting. RecSys 2023: 1284-1285 - [c158]Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang:
A Preference Learning Decoupling Framework for User Cold-Start Recommendation. SIGIR 2023: 1168-1177 - [c157]Aixin Sun:
Take a Fresh Look at Recommender Systems from an Evaluation Standpoint. SIGIR 2023: 2629-2638 - [c156]Shan Jie Yong, Kuicai Dong, Aixin Sun:
DOCoR: Document-level OpenIE with Coreference Resolution. WSDM 2023: 1204-1207 - [i65]Yubo Ma, Yixin Cao, YongChing Hong, Aixin Sun:
Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples! CoRR abs/2303.08559 (2023) - [i64]Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng:
GCRE-GPT: A Generative Model for Comparative Relation Extraction. CoRR abs/2303.08601 (2023) - [i63]Zihao Li, Aixin Sun, Chenliang Li:
DiffuRec: A Diffusion Model for Sequential Recommendation. CoRR abs/2304.00686 (2023) - [i62]Xiang Li, Xin Jiang, Xuying Meng, Aixin Sun, Yequan Wang:
FreeLM: Fine-Tuning-Free Language Model. CoRR abs/2305.01616 (2023) - [i61]Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun:
Few-shot Event Detection: An Empirical Study and a Unified View. CoRR abs/2305.01901 (2023) - [i60]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Open Information Extraction via Chunks. CoRR abs/2305.03299 (2023) - [i59]Yitong Ji, Aixin Sun, Jie Zhang:
Retraining A Graph-based Recommender with Interests Disentanglement. CoRR abs/2305.03624 (2023) - [i58]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection. CoRR abs/2305.04181 (2023) - [i57]Xinze Li, Yixin Cao, Muhao Chen, Aixin Sun:
Take a Break in the Middle: Investigating Subgoals towards Hierarchical Script Generation. CoRR abs/2305.10907 (2023) - [i56]Fangkai Jiao, Zhiyang Teng, Shafiq R. Joty, Bosheng Ding, Aixin Sun, Zhengyuan Liu, Nancy F. Chen:
LogicLLM: Exploring Self-supervised Logic-enhanced Training for Large Language Models. CoRR abs/2305.13718 (2023) - [i55]Jing Wang, Aixin Sun, Hao Zhang, Xiaoli Li:
MS-DETR: Natural Language Video Localization with Sampling Moment-Moment Interaction. CoRR abs/2305.18969 (2023) - [i54]Chen Chen, Yufei Wang, Aixin Sun, Bing Li, Kwok-Yan Lam:
Dipping PLMs Sauce: Bridging Structure and Text for Effective Knowledge Graph Completion via Conditional Soft Prompting. CoRR abs/2307.01709 (2023) - [i53]Guoxiu He, Aixin Sun, Wei Lu:
Research Explosion: More Effort to Climb onto Shoulders of the Giant. CoRR abs/2307.06506 (2023) - [i52]Yu-chen Fan, Yitong Ji, Jie Zhang, Aixin Sun:
Our Model Achieves Excellent Performance on MovieLens: What Does it Mean? CoRR abs/2307.09985 (2023) - [i51]Xiang Li, Yiqun Yao, Xin Jiang, Xuezhi Fang, Xuying Meng, Siqi Fan, Peng Han, Jing Li, Li Du, Bowen Qin, Zheng Zhang, Aixin Sun, Yequan Wang:
FLM-101B: An Open LLM and How to Train It with $100K Budget. CoRR abs/2309.03852 (2023) - [i50]Yu Cheng, Yunzhu Pan, Jiaqi Zhang, Yongxin Ni, Aixin Sun, Fajie Yuan:
An Image Dataset for Benchmarking Recommender Systems with Raw Pixels. CoRR abs/2309.06789 (2023) - 2022
- [j56]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) - [j55]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) - [j54]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) - [j53]Peng Han, Shuo Shang, Aixin Sun, Peilin Zhao, Kai Zheng, Xiangliang Zhang:
Point-of-Interest Recommendation With Global and Local Context. IEEE Trans. Knowl. Data Eng. 34(11): 5484-5495 (2022) - [c155]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 - [c154]Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. COLING 2022: 2438-2449 - [c153]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. EMNLP 2022: 4072-4083 - [c152]Yequan Wang, Hengran Zhang, Aixin Sun, Xuying Meng:
CORT: A New Baseline for Comparative Opinion Classification by Dual Prompts. EMNLP (Findings) 2022: 7064-7075 - [c151]Fuzhao Xue, Aixin Sun, Hao Zhang, Jinjie Ni, Eng Siong Chng:
An Embarrassingly Simple Model for Dialogue Relation Extraction. ICASSP 2022: 6707-6711 - [c150]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Do Loyal Users Enjoy Better Recommendations?: Understanding Recommender Accuracy from a Time Perspective. ICTIR 2022: 92-97 - [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 - [r1]Shuai Zhang, Yi Tay, Lina Yao, Aixin Sun, Ce Zhang:
Deep Learning for Recommender Systems. Recommender Systems Handbook 2022: 173-210 - [i49]Grace E. Lee, Aixin Sun:
Towards Reducing Manual Workload in Technology-Assisted Reviews: Estimating Ranking Performance. CoRR abs/2201.05648 (2022) - [i48]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) - [i47]Ting Lin, Aixin Sun, Yequan Wang:
Aspect-based Sentiment Analysis through EDU-level Attentions. CoRR abs/2202.02535 (2022) - [i46]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) - [i45]Yitong Ji, Aixin Sun, Jie Zhang, Chenliang Li:
Recommender May Not Favor Loyal Users. CoRR abs/2204.05927 (2022) - [i44]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) - [i43]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) - [i42]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) - [i41]Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. CoRR abs/2209.09432 (2022) - [i40]Aixin Sun:
From Counter-intuitive Observations to a Fresh Look at Recommender System. CoRR abs/2210.04149 (2022) - [i39]Yequan Wang, Jiawen Deng, Aixin Sun, Xuying Meng:
Perplexity from PLM Is Unreliable for Evaluating Text Quality. CoRR abs/2210.05892 (2022) - [i38]Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li:
Syntactic Multi-view Learning for Open Information Extraction. CoRR abs/2212.02068 (2022) - [i37]Mengying Yu, Aixin Sun:
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need. CoRR abs/2212.02726 (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]