| 2026 | ACL | A Mechanistic Perspective and Difficulty Metric for Unlearning. | Jiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi Amiri |
| 2025 | CIKM | FUTURE: Flexible Unlearning for Tree Ensemble. | Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri |
| 2025 | CIKM | FROG: Fair Removal on Graph. | Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun |
| 2025 | GLOBECOM | Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning. | Kristin Qi, Jiali Cheng, Youxiang Zhu, Hadi Amiri, Xiaohui Liang |
| 2025 | ICML | Tool Unlearning for Tool-Augmented LLMs. | Jiali Cheng, Hadi Amiri |
| 2025 | Interspeech | Speech Unlearning. | Jiali Cheng, Hadi Amiri |
| 2025 | NAACL | EqualizeIR: Mitigating Linguistic Biases in Retrieval Models. | Jiali Cheng, Hadi Amiri |
| 2024 | ACL | MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries. | Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, Leo Anthony Celi |
| 2024 | ECCV | MultiDelete for Multimodal Machine Unlearning. | Jiali Cheng, Hadi Amiri |
| 2024 | EMNLP | FairFlow: Mitigating Dataset Biases through Undecided Learning for Natural Language Understanding. | Jiali Cheng, Hadi Amiri |
| 2024 | Interspeech | CogniVoice: Multimodal and Multilingual Fusion Networks for Mild Cognitive Impairment Assessment from Spontaneous Speech. | Jiali Cheng, Mohamed Elgaar, Nidhi Vakil, Hadi Amiri |
| 2023 | EMNLP | Exploring the Impact of Model Scaling on Parameter-Efficient Tuning. | Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun |
| 2023 | ICLR | GNNDelete: A General Strategy for Unlearning in Graph Neural Networks. | Jiali Cheng, George Dasoulas, Huan He, Chirag Agarwal, Marinka Zitnik |
| 2023 | ICLR | Lesion Search with Self-supervised Learning. | Kristin Qi, Jiali Cheng, Daniel Haehn |