| 2026 | ACL | A Mechanistic Perspective and Difficulty Metric for Unlearning. | Jiali Cheng, Ziheng Chen, Chirag Agarwal, Hadi Amiri |
| 2026 | EACL | LingGen: Scalable Multi-Attribute Linguistic Control via Power-Law Masking. | Mohamed Elgaar, Hadi Amiri |
| 2025 | ACL | MedDecXtract: A Clinician-Support System for Extracting, Visualizing, and Annotating Medical Decisions in Clinical Narratives. | Mohamed Elgaar, Hadi Amiri, Mitra Mohtarami, Leo Anthony Celi |
| 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 | EMNLP | Linguistically-Controlled Paraphrase Generation. | Mohamed Elgaar, Hadi Amiri |
| 2025 | EMNLP | LingConv: An Interactive Toolkit for Controlled Paraphrase Generation with Linguistic Attribute Control. | Mohamed Elgaar, Hadi Amiri |
| 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 | EMNLP | Controlled Transformation of Text-Attributed Graphs. | Nidhi Vakil, 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 | ACL | HuCurl: Human-induced Curriculum Discovery. | Mohamed Elgaar, Hadi Amiri |
| 2023 | ACL | Curriculum Learning for Graph Neural Networks: A Multiview Competence-based Approach. | Nidhi Vakil, Hadi Amiri |
| 2023 | EMNLP | Ling-CL: Understanding NLP Models through Linguistic Curricula. | Mohamed Elgaar, Hadi Amiri |
| 2023 | EMNLP | Complexity-Guided Curriculum Learning for Text Graphs. | Nidhi Vakil, Hadi Amiri |
| 2022 | NAACL | Generic and Trend-aware Curriculum Learning for Relation Extraction. | Nidhi Vakil, Hadi Amiri |
| 2021 | ACL | Attentive Multiview Text Representation for Differential Diagnosis. | Hadi Amiri, Mitra Mohtarami, Isaac S. Kohane |
| 2021 | ACL | Embedding Time Differences in Context-sensitive Neural Networks for Learning Time to Event. | Nazanin Dehghani, Hassan Hajipoor, Hadi Amiri |
| 2019 | AMIA | Learning to Estimate Nutrition Facts from Food Descriptions. | Hadi Amiri, Andrew Beam, Isaac S. Kohane |
| 2019 | NAACL | Neural Self-Training through Spaced Repetition. | Hadi Amiri |
| 2019 | NAACL | Vector of Locally Aggregated Embeddings for Text Representation. | Hadi Amiri, Mitra Mohtarami |
| 2019 | NAACL | Serial Recall Effects in Neural Language Modeling. | Hassan Hajipoor, Hadi Amiri, Maseud Rahgozar, Farhad Oroumchian |
| 2018 | AMIA | Toward Large-scale and Multi-facet Analysis of First Person Alcohol Drinking. | Hadi Amiri, Kara M. Magane, Lauren E. Wisk, Guergana Savova, Elissa R. Weitzman |
| 2018 | NAACL | Spotting Spurious Data with Neural Networks. | Hadi Amiri, Timothy Miller, Guergana Savova |
| 2017 | EMNLP | Repeat before Forgetting: Spaced Repetition for Efficient and Effective Training of Neural Networks. | Hadi Amiri, Timothy Miller, Guergana Savova |
| 2016 | AAAI | Short Text Representation for Detecting Churn in Microblogs. | Hadi Amiri, Hal Daum III |
| 2016 | ACL | Learning Text Pair Similarity with Context-sensitive Autoencoders. | Hadi Amiri, Philip Resnik, Jordan L. Boyd-Graber, Hal Daum III |
| 2016 | NAACL | The UMD CLPsych 2016 Shared Task System: Text Representation for Predicting Triage of Forum Posts about Mental Health. | Meir Friedenberg, Hadi Amiri, Hal Daum III, Philip Resnik |
| 2015 | AAAI | Target-Dependent Churn Classification in Microblogs. | Hadi Amiri, Hal Daum III |
| 2013 | AAAI | A Pattern Matching Based Model for Implicit Opinion Question Identification. | Hadi Amiri, Zheng-Jun Zha, Tat-Seng Chua |
| 2013 | SIGIR | Emerging topic detection for organizations from microblogs. | Yan Chen, Hadi Amiri, Zhoujun Li, Tat-Seng Chua |
| 2012 | AAAI | Sense Sentiment Similarity: An Analysis. | Mitra Mohtarami, Hadi Amiri, Man Lan, Thanh Phu Tran, Chew Lim Tan |
| 2012 | CIKM | Mining sentiment terminology through time. | Hadi Amiri, Tat-Seng Chua |
| 2012 | WSDM | Mining slang and urban opinion words and phrases from cQA services: an optimization approach. | Hadi Amiri, Tat-Seng Chua |
| 2011 | CIKM | Predicting the uncertainty of sentiment adjectives in indirect answers. | Mitra Mohtarami, Hadi Amiri, Man Lan, Chew Lim Tan |
| 2008 | CIKM | Experiments with English-Persian text retrieval. | Abolfazl AleAhmad, Hadi Amiri, Masoud Rahgozar, Farhad Oroumchian |
| 2006 | ICASSP | Underwater Noise Modeling and Direction-Finding Based on Conditional Heteroscedastic Time Series. | Hadi Amiri, Hamidreza Amindavar, Mahmoud Kamarei |
| 2004 | ICASSP | Array signal processing using GARCH noise modeling. | Hadi Amiri, Hamidreza Amindavar, Rodney Lynn Kirlin |