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Charų C. Aggarwal

ibm t. j. watson research center

107H-index
761Paper Count
5.2WCitation Count
Published Papers 56
Publication Date
A Comprehensive Survey on Data Augmentation
err2025-10-16
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PREAI
errZaitian Wang; Pengfei Wang; Kunpeng Liu; Pengyang Wang; Yanjie Fu; Chang-Tien Lu; Charu C. Aggarwal; Jian Pei; Yuanchun Zhou
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Deep Graph Anomaly Detection: A Survey and New Perspectives
err2025-09-01
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errOAAI
errHezhe Qiao; Hanghang Tong; Bo An; Irwin King; Charu Aggarwal; Guansong Pang
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DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
err2025-08-01
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errOAAI
errZahra Zamanzadeh Darban; Yiyuan Yang; Geoffrey I. Webb; Charu C. Aggarwal; Qingsong Wen; Shirui Pan; Mahsa Salehi
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Counterfactual Learning on Graphs: A Survey
err2025-01-24
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errOAAI
errGuo, Zhimeng; Wu, Zongyu; Xiao, Teng; Aggarwal, Charu; Liu, Hui; Wang, Suhang
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State of the Art and Potentialities of Graph-level Learning
err2024-10-10
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errOAAI
errYang, Zhenyu; Zhang, Ge; Wu, Jia; Yang, Jian; Sheng, Quan z.; Xue, Shan; Zhou, Chuan; Aggarwal, Charu; Peng, Hao; Hu, Wenbin; Hancock, Edwin; Lio, Pietro
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Deep Learning for Time Series Anomaly Detection: A Survey
err2024-10-07
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errOAAI
errDarban, Zahra zamanzadeh; Webb, Geoffrey i.; Pan, Shirui; Aggarwal, Charu; Salehi, Mahsa
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Physics-Informed Explainable Continual Learning on Graphs
err2024-09-01
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PREAI
errPeng, Ciyuan; Tang, Tao; Yin, Qiuyang; Bai, Xiaomei; Lim, Suryani; Aggarwal, Charu C.
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Z-Laplacian Matrix Factorization: Network Embedding With Interpretable Graph Signals
err2024-08-01
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PREAI
errWan, Liangtian; Fu, Zhengqiang; Ling, Yi; Sun, Yuchen; Li, Xiaona; Sun, Lu; Xia, Feng; Yan, Xiaoran; Aggarwal, Charu C.
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Attributed Graph Force Learning
err2024-04-01
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PREAI
errSun, Ke; Xia, Feng; Liu, Jiaying; Xu, Bo; Saikrishna, Vidya; Aggarwal, Charu C. C.
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Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks
err2023-12-08
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errOAAI
errChen, Zhiqian; Chen, Fanglan; Zhang, Lei; Ji, Taoran; Fu, Kaiqun; Zhao, Liang; Chen, Feng; Wu, Lingfei; Aggarwal, Charu; Lu, Chang-Tien
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Biomarker-directed, pembrolizumab-based combination therapy in non-small cell lung cancer: phase 2 KEYNOTE-495/KeyImPaCT trial interim results
err2023-07-10
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PREAI
errGutierrez, Martin; Lam, Wei-Sen; Hellmann, Matthew D.; Gubens, Matthew A.; Aggarwal, Charu; Tan, Daniel Shao Weng; Felip, Enriqueta; Chiu, Joanne W. Y.; Lee, Jong-Seok; Yang, James Chih-Hsin; Garon, Edward B.; Finocchiaro, Giovanna; Ahn, Myung-Ju; Luft, Alexander; Landers, Gregory A.; Basso, Andrea; Ma, Hua; Kobie, Julie; Palcza, John; Cristescu, Razvan; Fong, Lawrence; Snyder, Alexandra; Yuan, Jianda; Herbst, Roy S.
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Deep Anomaly Analytics: Advancing the Frontier of Anomaly Detection
err2023-03-01
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errOAAI
errXia, Feng; Akoglu, Leman; Aggarwal, Charu; Liu, Huan
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Graph Learning for Anomaly Analytics: Algorithms, Applications, and Challenges
err2023-02-16
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errOAAI
errRen, Jing; Xia, Feng; Lee, Ivan; Hoshyar, Azadeh Noori; Aggarwal, Charu
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Deep Learning for Anomaly Detection
err2022-06-01
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errOAAI
errPang, Guansong; Aggarwal, Charu; Shen, Chunhua; Sebe, Nicu
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Self-supervised Short-text Modeling through Auxiliary Context Generation
err2022-04-12
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errOAAI
errChoudhary, Nurendra; Aggarwal, Charu C.; Subbian, Karthik; Reddy, Chandan K.
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Automated Feature Selection: A Reinforcement Learning Perspective
err2022-01-01
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PREAI
errLiu, Kunpeng; Fu, Yanjie; Wu, Le; Li, Xiaolin; Aggarwal, Charu; Xiong, Hui
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