Charu C. Aggarwal

Distinguished Research Staff Member, International Business Machines

Joined

May 2022

Names

Charu C. Aggarwal (Preferred)

Emails

****@us.ibm.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Distinguished Research Staff Member

International Business Machines (ibm.com)

1996 – Present

Advisors, Relations & Conflicts

PhD Advisor

James Orlin

1993 – 1996

Expertise

Machine learning

1996 – 2023

Publications

Steering Diffusion Models Towards Credible Content Recommendation
Zhuo Cai, Shoujin Wang, Jin Li, Peilin Zhou, Victor W. Chu, Fang Chen, Tianqing Zhu, Charu C. Aggarwal
- ICLR 2026 Poster
- Readers: Everyone
Position: Multi-Faceted Studies on Data Poisoning can Advance LLM Development
Pengfei He, Yue Xing, Han Xu, Zhen Xiang, Charu C. Aggarwal, Jiliang Tang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Keeping an Eye on LLM Unlearning: The Hidden Risk and Remedy
Jie Ren, Zhenwei DAI, Xianfeng Tang, Yue Xing, Shenglai Zeng, Hui Liu, Jingying Zeng, Qiankun Peng, Samarth Varshney, Suhang Wang, Qi He, Charu C. Aggarwal, Hui Liu
- NeurIPS 2025 poster
- Readers: Everyone
Language Models Are Good Tabular Learners
Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
- Accepted by TMLR
- Readers: Everyone
Language Models Are Good Tabular Learners
Zhenhan Huang, Kavitha Srinivas, Horst Samulowitz, Niharika S. D'Souza, Charu C. Aggarwal, Pin-Yu Chen, Jianxi Gao
- Submitted to ICLR 2025
- Readers: Everyone
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma
- ICLR 2025 Poster
- Readers: Everyone
Precedence-Constrained Winter Value for Effective Graph Data Valuation
Hongliang Chi, Wei Jin, Charu C. Aggarwal, Yao Ma
- Submitted to NeurIPS 2024 Track Datasets and Benchmarks
- Readers: Everyone
Attributed Graph Force Learning
Ke Sun, Feng Xia, Jiaying Liu, Bo Xu, Vidya Saikrishna, Charu C. Aggarwal
- IEEE Trans. Neural Networks Learn. Syst. 2024
- Readers: Everyone
Efficient Contrastive Learning for Fast and Accurate Inference on Graphs
Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G Honavar
- ICML 2024 Poster
- Readers: Everyone
Causal Learning for Trustworthy Recommender Systems: A Survey
Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal
- CoRR 2024
- Readers: Everyone

View all 487 publications

Co-Authors

View all 417 co-authors