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ORCIDEe-Peng Lim
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- affiliation: Singapore Management University, School of Information Systems, Singapore
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2020 – today
- 2023
[j105]Wei Qin
, Hanwang Zhang, Richang Hong, Ee-Peng Lim, Qianru Sun:
Causal Interventional Training for Image Recognition. IEEE Trans. Multim. 25: 1033-1044 (2023)- [j104]Pei-Chi Lo, Ee-Peng Lim:
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach. ACM Trans. Inf. Syst. 41(1): 1:1-1:38 (2023) - [j103]Gary Ang, Ee-Peng Lim:
Investment and Risk Management with Online News and Heterogeneous Networks. ACM Trans. Web 17(2): 8:1-8:24 (2023) - [i41]Zhiqiang Hu, Yihuai Lan, Lei Wang, Wanyu Xu, Ee-Peng Lim, Roy Ka-Wei Lee, Lidong Bing, Soujanya Poria:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. CoRR abs/2304.01933 (2023) - [i40]Lei Wang, Ee-Peng Lim:
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models. CoRR abs/2304.03153 (2023) - [i39]Lei Wang, Wanyu Xu, Yihuai Lan, Zhiqiang Hu, Yunshi Lan, Roy Ka-Wei Lee, Ee-Peng Lim:
Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models. CoRR abs/2305.04091 (2023) - 2022
- [j102]Jianbing Zheng, Ming Gao, Ee-Peng Lim, David Lo, Cheqing Jin, Aoying Zhou:
On measuring network robustness for weighted networks. Knowl. Inf. Syst. 64(7): 1967-1996 (2022) - [j101]Zhe Liu, Xianzhi Wang, Yun Li, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to purchase: Predicting consumer choices with structured facial and behavioral traits embedding. Knowl. Based Syst. 235: 107665 (2022) - [j100]Gary Ang, Ee-Peng Lim:
Learning Semantically Rich Network-based Multi-modal Mobile User Interface Embeddings. ACM Trans. Interact. Intell. Syst. 12(4): 34:1-34:29 (2022) - [j99]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes With Semantic Consistency and Attention Mechanism. IEEE Trans. Multim. 24: 2515-2525 (2022) - [c326]Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim:
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC 2022: 305-314 - [c325]Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim:
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. AAAI 2022: 13188-13190 - [c324]Gary Ang, Ee-Peng Lim:
Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News. ACL (1) 2022: 6313-6326 - [c323]Gary Ang, Ee-Peng Lim:
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks. Big Data 2022: 825-834 - [c322]Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. CIKM 2022: 2017-2027 - [c321]Lee-Hsun Hsieh, Nam-Chew Chua, Agus Trisnajaya Kwee, Pei-Chi Lo, Yang-Yin Lee, Ee-Peng Lim:
Singlish Checker: A Tool for Understanding and Analysing an English Creole Language. ICADL 2022: 115-124 - [c320]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. ICDM 2022: 438-447 - [c319]Gary Ang, Ee-Peng Lim:
Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes. IUI 2022: 433-446 - [c318]Zihao Li, Xianzhi Wang, Lina Yao, Yakun Chen, Guandong Xu, Ee-Peng Lim:
Graph Neural Network with Self-attention and Multi-task Learning for Credit Default Risk Prediction. WISE 2022: 616-629 - [i38]Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao:
Explanation Guided Contrastive Learning for Sequential Recommendation. CoRR abs/2209.01347 (2022) - [i37]Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim:
Improving Compositional Generalization in Math Word Problem Solving. CoRR abs/2209.01352 (2022) - [i36]Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun:
Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames. CoRR abs/2210.08452 (2022) - [i35]Weijieying Ren, Lei Wang, Kunpeng Liu, Ruocheng Guo, Ee-Peng Lim, Yanjie Fu:
Mitigating Popularity Bias in Recommendation with Unbalanced Interactions: A Gradient Perspective. CoRR abs/2211.01154 (2022) - 2021
- [j98]Chih-Chieh Hung, Ee-Peng Lim:
On Aggregating Salaries of Occupations From Job Post and Review Data. IEEE Access 9: 43422-43433 (2021) - [j97]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities Across Multiple Online Social Networks. IEEE Trans. Knowl. Data Eng. 33(1): 70-84 (2021) - [c317]Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim:
Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. EACL 2021: 3590-3599 - [c316]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. EMNLP (Findings) 2021: 4147-4161 - [c315]Gary Ang, Ee-Peng Lim:
Learning knowledge-enriched company embeddings for investment management. ICAIF 2021: 25:1-25:9 - [c314]Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation. ICWSM 2021: 680-690 - [c313]Gary Ang, Ee-Peng Lim:
Learning Network-Based Multi-Modal Mobile User Interface Embeddings. IUI 2021: 366-376 - [c312]Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. ACM Multimedia 2021: 506-515 - [c311]Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim:
Structurally enriched entity mention embedding from semi-structured textual content. SAC 2021: 857-860 - [c310]Audrey Tedja Widjaja, Ee-Peng Lim, Aldy Gunawan:
On Analysing Student Resilience in Higher Education Programs using a Data-Driven Approach. TALE 2021: 1-7 - [e25]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Chia-Hui Chang, Jianliang Xu, Wen-Chih Peng, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications. DASFAA 2021 International Workshops - BDQM, GDMA, MLDLDSA, MobiSocial, and MUST, Taipei, Taiwan, April 11-14, 2021, Proceedings. Lecture Notes in Computer Science 12680, Springer 2021, ISBN 978-3-030-73215-8 [contents] - [e24]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12681, Springer 2021, ISBN 978-3-030-73193-9 [contents] - [e23]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12682, Springer 2021, ISBN 978-3-030-73196-0 [contents] - [e22]Christian S. Jensen, Ee-Peng Lim, De-Nian Yang, Wang-Chien Lee, Vincent S. Tseng, Vana Kalogeraki, Jen-Wei Huang, Chih-Ya Shen:
Database Systems for Advanced Applications - 26th International Conference, DASFAA 2021, Taipei, Taiwan, April 11-14, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12683, Springer 2021, ISBN 978-3-030-73199-1 [contents] - [i34]Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim:
ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. CoRR abs/2103.09548 (2021) - [i33]Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai:
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. CoRR abs/2103.11798 (2021) - [i32]Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun:
A Large-Scale Benchmark for Food Image Segmentation. CoRR abs/2105.05409 (2021) - [i31]Yihuai Lan, Lei Wang, Qiyuan Zhang, Yunshi Lan, Bing Tian Dai, Yan Wang, Dongxiang Zhang, Ee-Peng Lim:
MWPToolkit: An Open-Source Framework for Deep Learning-Based Math Word Problem Solvers. CoRR abs/2109.00799 (2021) - [i30]Qiyuan Zhang, Lei Wang, Sicheng Yu, Shuohang Wang, Yang Wang, Jing Jiang, Ee-Peng Lim:
NOAHQA: Numerical Reasoning with Interpretable Graph Question Answering Dataset. CoRR abs/2109.10604 (2021) - 2020
- [j96]Xiaohui Wang, Dion Hoe-Lian Goh, Ee-Peng Lim:
Understanding Continuance Intention toward Crowdsourcing Games: A Longitudinal Investigation. Int. J. Hum. Comput. Interact. 36(12): 1168-1177 (2020) - [c309]Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. AAAI 2020: 6933-6940 - [c308]Jipeng Zhang, Lei Wang, Roy Ka-Wei Lee, Yi Bin, Yan Wang, Jie Shao, Ee-Peng Lim:
Graph-to-Tree Learning for Solving Math Word Problems. ACL 2020: 3928-3937 - [c307]Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai:
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. APWeb/WAIM (2) 2020: 221-229 - [c306]Yu-Neng Chuang, Chih-Ming Chen, Chuan-Ju Wang, Ming-Feng Tsai, Yuan Fang, Ee-Peng Lim:
TPR: Text-aware Preference Ranking for Recommender Systems. CIKM 2020: 215-224 - [c305]Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo:
CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement. DSAA 2020: 148-157 - [c304]Audrey Tedja Widjaja, Lei Wang, Nghia Trong Truong, Aldy Gunawan, Ee-Peng Lim:
Next-Term Grade Prediction: A Machine Learning Approach. EDM 2020 - [c303]Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim:
Learning Personal Conscientiousness from Footprints in E-Learning Systems. ICDM 2020: 1292-1297 - [c302]Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun:
Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem. IJCAI 2020: 4011-4017 - [c301]Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
JPLink: On Linking Jobs to Vocational Interest Types. PAKDD (2) 2020: 220-232 - [c300]Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao:
Retrofitting Embeddings for Unsupervised User Identity Linkage. PAKDD (1) 2020: 385-397 - [c299]Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim:
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot. PervasiveHealth 2020: 436-439 - [c298]Hendrik Santoso Sugiarto, Ee-Peng Lim:
On Modeling Labor Markets for Fine-Grained Insights. PKDD/ECML Workshops 2020: 9-25 - [c297]Pei-Chi Lo, Ee-Peng Lim:
Interactive Entity Linking Using Entity-Word Representations. SIGIR 2020: 1801-1804 - [c296]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. WWW (Companion Volume) 2020: 181-184 - [e21]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12084, Springer 2020, ISBN 978-3-030-47425-6 [contents] - [e20]Hady W. Lauw, Raymond Chi-Wing Wong, Alexandros Ntoulas, Ee-Peng Lim, See-Kiong Ng, Sinno Jialin Pan:
Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12085, Springer 2020, ISBN 978-3-030-47435-5 [contents] - [i29]Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
JPLink: On Linking Jobs to Vocational Interest Types. CoRR abs/2002.02557 (2020) - [i28]Helena H. Lee, Shu Ke, Palakorn Achananuparp, Philips Kokoh Prasetyo, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
RecipeGPT: Generative Pre-training Based Cooking Recipe Generation and Evaluation System. CoRR abs/2003.02498 (2020) - [i27]Hao Wang, Doyen Sahoo, Chenghao Liu, Ke Shu, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
Cross-Modal Food Retrieval: Learning a Joint Embedding of Food Images and Recipes with Semantic Consistency and Attention Mechanism. CoRR abs/2003.03955 (2020) - [i26]Zhe Liu, Xianzhi Wang, Lina Yao, Jake An, Lei Bai, Ee-Peng Lim:
Face to Purchase: Predicting Consumer Choices with Structured Facial and Behavioral Traits Embedding. CoRR abs/2007.06842 (2020) - [i25]Amila Silva, Pei-Chi Lo, Ee-Peng Lim:
On Predicting Personal Values of Social Media Users using Community-Specific Language Features and Personal Value Correlation. CoRR abs/2007.08107 (2020) - [i24]Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim:
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot. CoRR abs/2009.05704 (2020) - [i23]V. N. S. Rama Krishna Pinnimty, Matt Zhao, Palakorn Achananuparp, Ee-Peng Lim:
Transforming Facial Weight of Real Images by Editing Latent Space of StyleGAN. CoRR abs/2011.02606 (2020)
2010 – 2019
- 2019
- [j95]Thanh-Nam Doan, Ee-Peng Lim:
Modeling location-based social network data with area attraction and neighborhood competition. Data Min. Knowl. Discov. 33(1): 58-95 (2019) - [j94]Wen-Haw Chong, Ee-Peng Lim:
Fine-grained Geolocation of Tweets in Temporal Proximity. ACM Trans. Inf. Syst. 37(2): 17:1-17:33 (2019) - [c295]Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images. CVPR 2019: 11572-11581 - [c294]Hendrik Santoso Sugiarto, Ee-Peng Lim, Ngak-Leng Sim:
On Analysing Supply and Demand in Labor Markets: Framework, Model and System. DSAA 2019: 511-520 - [c293]Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin:
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions. PDH 2019: 11-20 - [c292]Helena H. Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. PDH 2019: 31-35 - [c291]Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK 2019: 183-190 - [c290]Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. KDD 2019: 2260-2268 - [c289]Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo:
One-Class Order Embedding for Dependency Relation Prediction. SIGIR 2019: 205-214 - [e19]Alberto H. F. Laender, Barbara Pernici, Ee-Peng Lim, José Palazzo M. de Oliveira:
Conceptual Modeling - 38th International Conference, ER 2019, Salvador, Brazil, November 4-7, 2019, Proceedings. Lecture Notes in Computer Science 11788, Springer 2019, ISBN 978-3-030-33222-8 [contents] - [i22]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. CoRR abs/1901.06648 (2019) - [i21]Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results For Multiple Online Social Networks. CoRR abs/1902.08737 (2019) - [i20]Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-Peng Lim, Steven C. H. Hoi:
Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. CoRR abs/1905.01273 (2019) - [i19]Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim:
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. CoRR abs/1908.10402 (2019) - [i18]Yue Liu, Helena Lee, Palakorn Achananuparp, Ee-Peng Lim, Tzu-Ling Cheng, Shou-De Lin:
Characterizing and Predicting Repeat Food Consumption Behavior for Just-in-Time Interventions. CoRR abs/1909.07683 (2019) - [i17]Helena Lee, Palakorn Achananuparp, Yue Liu, Ee-Peng Lim, Lav R. Varshney:
Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning. CoRR abs/1909.07881 (2019) - [i16]Doyen Sahoo, Wang Hao, Shu Ke, Xiongwei Wu, Hung Le, Palakorn Achananuparp, Ee-Peng Lim, Steven C. H. Hoi:
FoodAI: Food Image Recognition via Deep Learning for Smart Food Logging. CoRR abs/1909.11946 (2019) - 2018
- [j93]Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. Data Sci. Eng. 3(3): 199-220 (2018) - [j92]Duc Minh Luu, Ee-Peng Lim:
Do your friends make you buy this brand? - Modeling social recommendation with topics and brands. Data Min. Knowl. Discov. 32(2): 287-319 (2018) - [j91]Wen-Haw Chong, Ee-Peng Lim:
Exploiting User and Venue Characteristics for Fine-Grained Tweet Geolocation. ACM Trans. Inf. Syst. 36(3): 26:1-26:34 (2018) - [j90]Yazhe Wang, Baihua Zheng, Ee-Peng Lim:
Understanding the effects of taxi ride-sharing - A case study of Singapore. Comput. Environ. Urban Syst. 69: 124-132 (2018) - [c288]Pei-Chi Lo, Ee-Peng Lim:
On Learning Psycholinguistics Tools for English-based Creole Languages using Social Media Data. IEEE BigData 2018: 751-760 - [c287]Agus Trisnajaya Kwee, Meng-Fen Chiang, Philips Kokoh Prasetyo, Ee-Peng Lim:
Traffic-Cascade: Mining and Visualizing Lifecycles of Traffic Congestion Events Using Public Bus Trajectories. CIKM 2018: 1955-1958 - [c286]Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Tuan-Anh Hoang:
Inferring Trip Occupancies in the Rise of Ride-Hailing Services. CIKM 2018: 2097-2105 - [c285]Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek:
Does Journaling Encourage Healthier Choices?: Analyzing Healthy Eating Behaviors of Food Journalers. DH 2018: 35-44 - [c284]Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek, Tianjiao Yun:
Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase Dietary Self-Tracking Compliance. DH 2018: 45-54 - [c283]Yazhe Wang, Chih-Chieh Hung, Baihua Zheng, Ee-Peng Lim:
TripDecoder: Inferring Routes of Passengers of Mass Rapid Transit Systems by Smart Card Transaction Data. ICDM Workshops 2018: 655-658 - [c282]Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim:
Unsupervised User Identity Linkage via Factoid Embedding. ICDM 2018: 1338-1343 - [c281]Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobSense: A Data-Driven Career Knowledge Exploration Framework and System. ICDM Workshops 2018: 1411-1416 - [c280]Roy Ka-Wei Lee, Ming Shan Hee, Philips Kokoh Prasetyo, Ee-Peng Lim:
Linky: Visualizing User Identity Linkage Results for Multiple Online Social Networks. ICDM Workshops 2018: 1453-1458 - [c279]Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou:
Social Stream Classification with Emerging New Labels. PAKDD (1) 2018: 16-28 - [c278]Wen-Haw Chong, Ee-Peng Lim:
Implicit Linking of Food Entities in Social Media. ECML/PKDD (3) 2018: 169-185 - [c277]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities in Online Social Networks. SDM 2018: 378-386 - [c276]Thanh-Nam Doan, Ee-Peng Lim:
PACELA: A Neural Framework for User Visitation in Location-based Social Networks. UMAP 2018: 13-21 - [r2]Didi Surian, David Lo, Ee-Peng Lim:
Collaboration Patterns in Software Developer Network. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i15]Roy Ka-Wei Lee, Tuan-Anh Hoang, Ee-Peng Lim:
Discovering Hidden Topical Hubs and Authorities in Online Social Networks. CoRR abs/1802.07022 (2018) - [i14]Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek:
Does Journaling Encourage Healthier Choices? Analyzing Healthy Eating Behaviors of Food Journalers. CoRR abs/1805.01129 (2018) - [i13]Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek, Tianjiao Yun:
Eat & Tell: A Randomized Trial of Random-Loss Incentive to Increase Dietary Self-Tracking Compliance. CoRR abs/1805.01130 (2018) - [i12]Richard Jayadi Oentaryo, Ee-Peng Lim, Xavier Jayaraj Siddarth Ashok, Philips Kokoh Prasetyo, Koon Han Ong, Zi Quan Lau:
Talent Flow Analytics in Online Professional Network. CoRR abs/1807.09127 (2018) - [i11]Richard Jayadi Oentaryo, Xavier Jayaraj Siddarth Ashok, Ee-Peng Lim, Philips Kokoh Prasetyo:
JobComposer: Career Path Optimization via Multicriteria Utility Learning. CoRR abs/1809.01062 (2018) - 2017
- [j89]Xiaohui Wang, Dion Hoe-Lian Goh, Ee-Peng Lim, Adrian Wei Liang Vu, Alton Yeow-Kuan Chua:
Examining the Effectiveness of Gamification in Human Computation. Int. J. Hum. Comput. Interact. 33(10): 813-821 (2017) - [j88]Tuan-Anh Hoang, Ee-Peng Lim:
Modeling Topics and Behavior of Microbloggers: An Integrated Approach. ACM Trans. Intell. Syst. Technol. 8(3): 44:1-44:37 (2017) - [c275]Xin Mu, Feida Zhu, Juan Du, Ee-Peng Lim, Zhi-Hua Zhou:
Streaming Classification with Emerging New Class by Class Matrix Sketching. AAAI 2017: 2373-2379 - [c274]Thanh-Nam Doan, Ee-Peng Lim:
Modeling Check-In Behavior with Geographical Neighborhood Influence of Venues. ADMA 2017: 429-444 - [c273]Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Agus Trisnajaya Kwee:
BTCI: A new framework for identifying congestion cascades using bus trajectory data. IEEE BigData 2017: 1133-1142 - [c272]Tuan-Anh Hoang, Ee-Peng Lim:
Highly Efficient Mining of Overlapping Clusters in Signed Weighted Networks. CIKM 2017: 869-878 - [c271]Wen-Haw Chong, Ee-Peng Lim:
Tweet Geolocation: Leveraging Location, User and Peer Signals. CIKM 2017: 1279-1288 - [c270]