Nitesh V. Chawla

2025

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Socially Responsible and Trustworthy Generative Foundation Models: Principles, Challenges, and Practices.
Yue Huang|Canyu Chen|Lu Cheng|Bhavya Kailkhura|Nitesh V. Chawla|Xiangliang Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Think it Image by Image: Multi-Image Moral Reasoning of Large Vision-Language Models.
Chujie Gao|Yue Huang|Xiangqi Wang|Siyuan Wu|Nitesh V. Chawla|Xiangliang Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Proto-Yield: An Uncertainty-Aware Prototype Network for Yield Prediction in Real-world Chemical Reactions.
Kehan Guo|Zhen Liu|Zhichun Guo|Bozhao Nan|Olexandr Isayev|Nitesh V. Chawla|Olaf Wiest|Xiangliang Zhang
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
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Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation.
Yijun Tian|Yikun Han|Xiusi Chen|Wei Wang|Nitesh V. Chawla
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
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Ventana a la Verdad (Window to the Truth): A Chatbot Application for Navigating The Colombian Truth Commission's Archives.
Anna Sokol|Matthew L. Sisk|Josefina Echavarría Alvarez|Nitesh V. Chawla
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025
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WildlifeLookup: A Chatbot Facilitating Wildlife Management with Accessible Data and Insights.
Xiangqi Wang|Tianyu Yang|Jason R. Rohr|Brett Scheffers|Nitesh V. Chawla|Xiangliang Zhang
Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, WSDM 2025, Hannover, Germany, March 10-14, 2025

2024

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Traversing the Journey of Data and AI: From Convergence to Translation.
Nitesh V. Chawla
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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Application of Large Language Models in Chemistry Reaction Data Extraction and Cleaning.
Xiaobao Huang|Mihir Surve|Yuhan Liu|Tengfei Luo|Olaf Wiest|Xiangliang Zhang|Nitesh V. Chawla
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation.
Peiyu Li|Xiaobao Huang|Yijun Tian|Nitesh V. Chawla
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024
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HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks.
Yihong Ma|Ning Yan|Jiayu Li|Masood S. Mortazavi|Nitesh V. Chawla
Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024
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Large Language Models for Graphs: Progresses and Directions.
Chao Huang|Xubin Ren|Jiabin Tang|Dawei Yin|Nitesh V. Chawla
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
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Can we Soft Prompt LLMs for Graph Learning Tasks?
Zheyuan Liu|Xiaoxin He|Yijun Tian|Nitesh V. Chawla
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024
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Are we Making Much Progress? Revisiting Chemical Reaction Yield Prediction from an Imbalanced Regression Perspective.
Yihong Ma|Xiaobao Huang|Bozhao Nan|Nuno Moniz|Xiangliang Zhang|Olaf Wiest|Nitesh V. Chawla
Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2022

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Representation Learning on Variable Length and Incomplete Wearable-Sensory Time Series.
Xian Wu|Chao Huang|Pablo Robles-Granda|Nitesh V. Chawla
ACM Transactions on Intelligent Systems and Technology (TIST) 2022 Volume 13 Issue 6
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Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting.
Yihong Ma|Patrick Gérard|Yijun Tian|Zhichun Guo|Nitesh V. Chawla
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
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Malicious Repositories Detection with Adversarial Heterogeneous Graph Contrastive Learning.
Yiyue Qian|Yiming Zhang|Nitesh V. Chawla|Yanfang Ye|Chuxu Zhang
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, Atlanta, GA, USA, October 17-21, 2022
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Graph Minimally-supervised Learning.
Kaize Ding|Jundong Li|Nitesh V. Chawla|Huan Liu
WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21 - 25, 2022

2021

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Inductive Contextual Relation Learning for Personalization.
Chuxu Zhang|Huaxiu Yao|Lu Yu|Chao Huang|Dongjin Song|Haifeng Chen|Meng Jiang|Nitesh V. Chawla
ACM Transactions on Information Systems (TOIS) 2021 Volume 39 Issue 3
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Modeling Complementarity in Behavior Data with Multi-Type Itemset Embedding.
Daheng Wang|Qingkai Zeng|Nitesh V. Chawla|Meng Jiang
ACM Transactions on Intelligent Systems and Technology (TIST) 2021 Volume 12 Issue 4
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Recipe Representation Learning with Networks.
Yijun Tian|Chuxu Zhang|Ronald A. Metoyer|Nitesh V. Chawla
CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021
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Few-Shot Graph Learning for Molecular Property Prediction.
Zhichun Guo|Chuxu Zhang|Wenhao Yu|John Herr|Olaf Wiest|Meng Jiang|Nitesh V. Chawla
WWW '21: The Web Conference 2021, Virtual Event / Ljubljana, Slovenia, April 19-23, 2021.

2020

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GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction.
Zhichun Guo|Wenhao Yu|Chuxu Zhang|Meng Jiang|Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
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Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer.
Xian Wu|Stephen M. Mattingly|Shayan Mirjafari|Chao Huang|Nitesh V. Chawla
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
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Learning from Cross-Modal Behavior Dynamics with Graph-Regularized Neural Contextual Bandit.
Xian Wu|Suleyman Cetintas|Deguang Kong|Miao Lu|Jian Yang|Nitesh V. Chawla
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020
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Hierarchically Structured Transformer Networks for Fine-Grained Spatial Event Forecasting.
Xian Wu|Chao Huang|Chuxu Zhang|Nitesh V. Chawla
WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020

2019

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Similarity-Aware Network Embedding with Self-Paced Learning.
Chao Huang|Baoxu Shi|Xuchao Zhang|Xian Wu|Nitesh V. Chawla
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
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Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity.
Chao Huang|Xian Wu|Xuchao Zhang|Suwen Lin|Nitesh V. Chawla
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, CIKM 2019, Beijing, China, November 3-7, 2019.
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Neural Tensor Factorization for Temporal Interaction Learning.
Xian Wu|Baoxu Shi|Yuxiao Dong|Chao Huang|Nitesh V. Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
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SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks.
Chuxu Zhang|Ananthram Swami|Nitesh V. Chawla
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
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MiST: A Multiview and Multimodal Spatial-Temporal Learning Framework for Citywide Abnormal Event Forecasting.
Chao Huang|Chuxu Zhang|Jiashu Zhao|Xian Wu|Nitesh V. Chawla|Dawei Yin
The World Wide Web Conference, WWW 2019, San Francisco, CA, USA, May 13-17, 2019

2018

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DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction.
Chao Huang|Junbo Zhang|Yu Zheng|Nitesh V. Chawla
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
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RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data.
Xian Wu|Baoxu Shi|Yuxiao Dong|Chao Huang|Louis Faust|Nitesh V. Chawla
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
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Camel: Content-Aware and Meta-path Augmented Metric Learning for Author Identification.
Chuxu Zhang|Chao Huang|Lu Yu|Xiangliang Zhang|Nitesh V. Chawla
Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, Lyon, France, April 23-27, 2018

2017

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User Modeling on Demographic Attributes in Big Mobile Social Networks.
Yuxiao Dong|Nitesh V. Chawla|Jie Tang|Yang Yang|Yang Yang
ACM Transactions on Information Systems (TOIS) 2017 Volume 35 Issue 4
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MOOC Dropout Prediction: Lessons Learned from Making Pipelines Interpretable.
Saurabh Nagrecha|John Z. Dillon|Nitesh V. Chawla
Proceedings of the 26th International Conference on World Wide Web Companion, Perth, Australia, April 3-7, 2017

2015

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Will This Paper Increase Your h-index?: Scientific Impact Prediction.
Yuxiao Dong|Reid A. Johnson|Nitesh V. Chawla
Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, WSDM 2015, Shanghai, China, February 2-6, 2015

2013

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Reliable medical recommendation systems with patient privacy.
T. Ryan Hoens|Marina Blanton|Aaron Steele|Nitesh V. Chawla
ACM Transactions on Intelligent Systems and Technology (TIST) 2013 Volume 4 Issue 4

2012

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When will it happen?: relationship prediction in heterogeneous information networks.
Yizhou Sun|Jiawei Han|Charu C. Aggarwal|Nitesh V. Chawla
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, Seattle, WA, USA, February 8-12, 2012
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Vertex collocation profiles: subgraph counting for link analysis and prediction.
Ryan Lichtenwalter|Nitesh V. Chawla
Proceedings of the 21st World Wide Web Conference 2012, WWW 2012, Lyon, France, April 16-20, 2012

2008

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Predicting individual disease risk based on medical history.
Darcy A. Davis|Nitesh V. Chawla|Nicholas Blumm|Nicholas A. Christakis|Albert-László Barabási
Proceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM 2008, Napa Valley, California, USA, October 26-30, 2008