default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEe-Peng Lim
Person information
- affiliation: Singapore Management University, School of Information Systems, Singapore
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j113]Gary Ang
, Ee-Peng Lim:
Temporal Implicit Multimodal Networks for Investment and Risk Management. ACM Trans. Intell. Syst. Technol. 15(2): 38:1-38:25 (2024)- [j112]Pei-Chi Lo, Ee-Peng Lim:
Non-monotonic Generation of Knowledge Paths for Context Understanding. ACM Trans. Manag. Inf. Syst. 15(1): 1:1-1:28 (2024) - [j111]Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun:
Efficient Cross-Modal Video Retrieval With Meta-Optimized Frames. IEEE Trans. Multim. 26: 10924-10936 (2024) - [j110]Gary Ang, Ee-Peng Lim:
Learning Dynamic Multimodal Network Slot Concepts from the Web for Forecasting Environmental, Social and Governance Ratings. ACM Trans. Web 18(3): 38:1-38:32 (2024) - [j109]Yue Liu, Palakorn Achananuparp, Ee-Peng Lim:
Non-binary evaluation of next-basket food recommendation. User Model. User Adapt. Interact. 34(1): 183-227 (2024) - [c337]Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim:
Speaker Verification in Agent-generated Conversations. ACL (1) 2024: 5655-5676 - [c336]Xiongwei Wu, Sicheng Yu, Ee-Peng Lim, Chong-Wah Ngo:
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation. CVPR 2024: 4144-4153 - [c335]Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang:
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. EMNLP 2024: 128-145 - [c334]Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie:
Thoughts to Target: Enhance Planning for Target-driven Conversation. EMNLP 2024: 21108-21124 - [c333]Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim:
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD 2024: 6759-6760 - [c332]Lei Wang, Jiabang He, Shenshen Li, Ning Liu, Ee-Peng Lim:
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites. MMM (4) 2024: 32-45 - [c331]Lei Wang, Ee-Peng Lim:
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation. NAACL-HLT (Findings) 2024: 876-895 - [i51]Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang:
Generative Semi-supervised Graph Anomaly Detection. CoRR abs/2402.11887 (2024) - [i50]Lei Wang, Wanyu Xu, Zhiqiang Hu, Yihuai Lan, Shan Dong, Hao Wang, Roy Ka-Wei Lee, Ee-Peng Lim:
All in a Single Image: Large Multimodal Models are In-Image Learners. CoRR abs/2402.17971 (2024) - [i49]Lei Wang, Ee-Peng Lim:
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation. CoRR abs/2403.10135 (2024) - [i48]Xiongwei Wu, Sicheng Yu, Ee-Peng Lim, Chong-Wah Ngo:
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation. CoRR abs/2404.01409 (2024) - [i47]Yizhe Yang, Heyan Huang, Palakorn Achananuparp, Jing Jiang, Ee-Peng Lim:
Speaker Verification in Agent-Generated Conversations. CoRR abs/2405.10150 (2024) - [i46]Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo:
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. CoRR abs/2410.04698 (2024) - 2023
- [j108]Pei-Chi Lo, Ee-Peng Lim:
A transformer framework for generating context-aware knowledge graph paths. Appl. Intell. 53(20): 23740-23767 (2023) - [j107]Gary Ang, Ee-Peng Lim:
Learning and Understanding User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes. ACM Trans. Interact. Intell. Syst. 13(3): 12:1-12:31 (2023) - [j106]Gary Ang, Zhiling Guo, Ee-Peng Lim:
On Predicting ESG Ratings Using Dynamic Company Networks. ACM Trans. Manag. Inf. Syst. 14(3): 27:1-27:34 (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) - [c330]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. ACL (1) 2023: 2609-2634 - [c329]Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang:
LLM4Vis: Explainable Visualization Recommendation using ChatGPT. EMNLP (Industry Track) 2023: 675-692 - [c328]Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim, Lidong Bing, Xing Xu, Soujanya Poria, Roy Ka-Wei Lee:
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models. EMNLP 2023: 5254-5276 - [c327]Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim:
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD 2023: 5909-5910 - [i45]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) - [i44]Lei Wang, Ee-Peng Lim:
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models. CoRR abs/2304.03153 (2023) - [i43]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) - [i42]Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang:
LLM4Vis: Explainable Visualization Recommendation using ChatGPT. CoRR abs/2310.07652 (2023) - [i41]Yihuai Lan, Zhiqiang Hu, Lei Wang, Yang Wang, Deheng Ye, Peilin Zhao, Ee-Peng Lim, Hui Xiong, Hao Wang:
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay. CoRR abs/2310.14985 (2023) - [i40]Pei-Chi Lo, Yi-Hang Tsai, Ee-Peng Lim, San-Yih Hwang:
On Exploring the Reasoning Capability of Large Language Models with Knowledge Graphs. CoRR abs/2312.00353 (2023) - [i39]Lei Wang, Jiabang He, Shenshen Li, Ning Liu, Ee-Peng Lim:
Mitigating Fine-Grained Hallucination by Fine-Tuning Large Vision-Language Models with Caption Rewrites. CoRR abs/2312.01701 (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 Khadeer 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. IEEE 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, Hao Wang, 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]