Ee-Peng Lim

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 165

Top Venues

Publications

Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang
Generative Semi-supervised Graph Anomaly Detection. CoRR (2024)
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)
Yue Liu, Palakorn Achananuparp, Ee-Peng Lim
Non-binary evaluation of next-basket food recommendation. User Model. User Adapt. Interact. 34 (1) (2024)
Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Ee-Peng Lim
Speaker Verification in Agent-generated Conversations. ACL (1) (2024)
Gary Ang, Ee-Peng Lim
Temporal Implicit Multimodal Networks for Investment and Risk Management. ACM Trans. Intell. Syst. Technol. 15 (2) (2024)
Hengshu Zhu, Yong Ge, Hui Xiong, Ee-Peng Lim
The 5th International Workshop on Talent and Management Computing (TMC'2024). KDD (2024)
Pei-Chi Lo, Ee-Peng Lim
Non-monotonic Generation of Knowledge Paths for Context Understanding. ACM Trans. Manag. Inf. Syst. 15 (1) (2024)
Lei Wang, Ee-Peng Lim
The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation. CoRR (2024)
Xiongwei Wu, Sicheng Yu, Ee-Peng Lim, Chong-Wah Ngo
OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation. CoRR (2024)
Yizhe Yang, Heyan Huang, Palakorn Achananuparp, Jing Jiang, Ee-Peng Lim
Speaker Verification in Agent-Generated Conversations. CoRR (2024)
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 (2024)
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 (2023)
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) (2023)
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 (2023)
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)
Gary Ang, Zhiling Guo, Ee-Peng Lim
On Predicting ESG Ratings Using Dynamic Company Networks. ACM Trans. Manag. Inf. Syst. 14 (3) (2023)
Gary Ang, Ee-Peng Lim
Investment and Risk Management with Online News and Heterogeneous Networks. ACM Trans. Web 17 (2) (2023)
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 (2023)
Pei-Chi Lo, Ee-Peng Lim
A transformer framework for generating context-aware knowledge graph paths. Appl. Intell. 53 (20) (2023)
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 (2023)
Lei Wang, Ee-Peng Lim
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models. CoRR (2023)
Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang
LLM4Vis: Explainable Visualization Recommendation using ChatGPT. CoRR (2023)
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)
Wei Qin, Hanwang Zhang, Richang Hong, Ee-Peng Lim, Qianru Sun
Causal Interventional Training for Image Recognition. IEEE Trans. Multim. 25 (2023)
Pei-Chi Lo, Ee-Peng Lim
Contextual Path Retrieval: A Contextual Entity Relation Embedding-based Approach. ACM Trans. Inf. Syst. 41 (1) (2023)
Hengshu Zhu, Hui Xiong, Yong Ge, Ee-Peng Lim
The 4th International Workshop on Talent and Management Computing (TMC'2023). KDD (2023)
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 (2023)
Lei Wang, Songheng Zhang, Yun Wang, Ee-Peng Lim, Yong Wang
LLM4Vis: Explainable Visualization Recommendation using ChatGPT. EMNLP (Industry Track) (2023)
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 (2022)
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)
Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Explanation Guided Contrastive Learning for Sequential Recommendation. CIKM (2022)
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 (2022)
Gary Ang, Ee-Peng Lim
Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News. ACL (1) (2022)
Lei Wang, Ee-Peng Lim, Zhiwei Liu, Tianxiang Zhao
Explanation Guided Contrastive Learning for Sequential Recommendation. CoRR (2022)
Hadeel Alhosaini, Xianzhi Wang, Lina Yao, Zhong Yang, Farookh Hussain, Ee-Peng Lim
Harnessing Confidence for Report Aggregation in Crowdsourcing Environments. SCC (2022)
Gary Ang, Ee-Peng Lim
Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks. Big Data (2022)
Yunshi Lan, Lei Wang, Jing Jiang, Ee-Peng Lim
Improving Compositional Generalization in Math Word Problem Solving. CoRR (2022)
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)
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)
Gary Ang, Ee-Peng Lim
Learning Semantically Rich Network-based Multi-modal Mobile User Interface Embeddings. ACM Trans. Interact. Intell. Syst. 12 (4) (2022)
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) (2022)
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)
Gary Ang, Ee-Peng Lim
Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes. IUI (2022)
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 (2022)
Ning Han, Xun Yang, Ee-Peng Lim, Hao Chen, Qianru Sun
Efficient Cross-Modal Video Retrieval with Meta-Optimized Frames. CoRR (2022)
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 (2021)
Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim
Structurally enriched entity mention embedding from semi-structured textual content. SAC (2021)
Xiongwei Wu, Xin Fu, Ying Liu, Ee-Peng Lim, Steven C. H. Hoi, Qianru Sun
A Large-Scale Benchmark for Food Image Segmentation. CoRR (2021)
Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim
Enconter: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. EACL (2021)
Lee-Hsun Hsieh, Yang-Yin Lee, Ee-Peng Lim
ENCONTER: Entity Constrained Progressive Sequence Generation via Insertion-based Transformer. CoRR (2021)
Gary Ang, Ee-Peng Lim
Learning Network-Based Multi-Modal Mobile User Interface Embeddings. IUI (2021)
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) (2021)
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)
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)
Audrey Tedja Widjaja, Ee-Peng Lim, Aldy Gunawan
On Analysing Student Resilience in Higher Education Programs using a Data-Driven Approach. TALE (2021)
Zhiqiang Hu, Roy Ka-Wei Lee, Lei Wang, Ee-Peng Lim, Bo Dai
DeepStyle: User Style Embedding for Authorship Attribution of Short Texts. CoRR (2021)
Gary Ang, Ee-Peng Lim
Learning knowledge-enriched company embeddings for investment management. ICAIF (2021)
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 (2021)
Chih-Chieh Hung, Ee-Peng Lim
On Aggregating Salaries of Occupations From Job Post and Review Data. IEEE Access 9 (2021)
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)
Pei-Chi Lo, Ee-Peng Lim
Interactive Entity Linking Using Entity-Word Representations. SIGIR (2020)
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) (2020)
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 (2020)
Tao Zhou, Ee-Peng Lim, Roy Ka-Wei Lee, Feida Zhu, Jiuxin Cao
Retrofitting Embeddings for Unsupervised User Identity Linkage. PAKDD (1) (2020)
Meng-Fen Chiang, Ee-Peng Lim, Wang-Chien Lee, Philips Kokoh Prasetyo
CO2Vec: Embeddings of Co-Ordered Networks Based on Mutual Reinforcement. DSAA (2020)
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 (2020)
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 (2020)
Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot. PervasiveHealth (2020)
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)
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 (2020)
Hendrik Santoso Sugiarto, Ee-Peng Lim
On Modeling Labor Markets for Fine-Grained Insights. PKDD/ECML Workshops (2020)
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)
Amila Silva, Pei-Chi Lo, Ee-Peng Lim
JPLink: On Linking Jobs to Vocational Interest Types. CoRR (2020)
Audrey Tedja Widjaja, Lei Wang, Nghia Trong Truong, Aldy Gunawan, Ee-Peng Lim
Next-Term Grade Prediction: A Machine Learning Approach. EDM (2020)
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)
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)
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)
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)
Philips Kokoh Prasetyo, Palakorn Achananuparp, Ee-Peng Lim
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot. CoRR (2020)
Lo Pang-Yun Ting, Shan-Yun Teng, Kun-Ta Chuang, Ee-Peng Lim
Learning Personal Conscientiousness from Footprints in E-Learning Systems. ICDM (2020)
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 (2020)
Amila Silva, Pei-Chi Lo, Ee-Peng Lim
JPLink: On Linking Jobs to Vocational Interest Types. PAKDD (2) (2020)
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 (2019)
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)
Huozhi Zhou, Lingda Wang, Lav R. Varshney, Ee-Peng Lim
A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits. CoRR (2019)
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 (2019)
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 (2019)
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 (2019)
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)
Wen-Haw Chong, Ee-Peng Lim
Fine-grained Geolocation of Tweets in Temporal Proximity. ACM Trans. Inf. Syst. 37 (2) (2019)
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)
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)
Xin Mu, Wei Xie, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
AD-Link: An Adaptive Approach for User Identity Linkage. ICBK (2019)
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)
Hendrik Santoso Sugiarto, Ee-Peng Lim, Ngak-Leng Sim
On Analysing Supply and Demand in Labor Markets: Framework, Model and System. DSAA (2019)
Thanh-Nam Doan, Ee-Peng Lim
Modeling location-based social network data with area attraction and neighborhood competition. Data Min. Knowl. Discov. 33 (1) (2019)
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 (2019)
Wei Xie, Xin Mu, Roy Ka-Wei Lee, Feida Zhu, Ee-Peng Lim
Unsupervised User Identity Linkage via Factoid Embedding. CoRR (2019)
Palakorn Achananuparp, Ee-Peng Lim, Vibhanshu Abhishek
Does Journaling Encourage Healthier Choices?: Analyzing Healthy Eating Behaviors of Food Journalers. DH (2018)
Xin Mu, Feida Zhu, Yue Liu, Ee-Peng Lim, Zhi-Hua Zhou
Social Stream Classification with Emerging New Labels. PAKDD (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ee-Peng Lim