Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference. - Ahmadreza Mosallanezhad; Ghazaleh Beigi; Huan Liu 001 (EMNLP/IJCNLP (1), 2019)

Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning. - Ghazaleh Beigi; Ahmadreza Mosallanezhad; Ruocheng Guo; Hamidreza Alvari; Alexander Nou; Huan Liu 001 (WSDM, 2020)

Toward Privacy and Utility Preserving Image Representation. - Ahmadreza Mosallanezhad; Yasin N. Silva; Michelle V. Mancenido; Huan Liu 001 (CoRR, 2020)

Topic-Preserving Synthetic News Generation: An Adversarial Deep Reinforcement Learning Approach. - Ahmadreza Mosallanezhad; Kai Shu; Huan Liu 001 (CoRR, 2020)

Mitigating Bias in Session-based Cyberbullying Detection: A Non-Compromising Approach. - Lu Cheng 001; Ahmadreza Mosallanezhad; Yasin N. Silva; Deborah L. Hall; Huan Liu 001 (ACL/IJCNLP (1), 2021)

Generating Topic-Preserving Synthetic News. - Ahmadreza Mosallanezhad; Kai Shu; Huan Liu 001 (IEEE BigData, 2021)

Causal Learning for Socially Responsible AI. - Lu Cheng 001; Ahmadreza Mosallanezhad; Paras Sheth; Huan Liu 001 (IJCAI, 2021)

"Let's Eat Grandma": When Punctuation Matters in Sentence Representation for Sentiment Analysis. - Mansooreh Karami; Ahmadreza Mosallanezhad; Michelle V. Mancenido; Huan Liu 001 (CoRR, 2021)

ParsiNLU: A Suite of Language Understanding Challenges for Persian. - Daniel Khashabi; Arman Cohan; Siamak Shakeri; Pedram Hosseini; Pouya Pezeshkpour; Malihe Alikhani; Moin Aminnaseri; Marzieh Bitaab; Faeze Brahman; Sarik Ghazarian; Mozhdeh Gheini; Arman Kabiri; et al. (Trans. Assoc. Comput. Linguistics, 2021)

PPSL: Privacy-Preserving Text Classification for Split Learning. - Walaa Alnasser; Ghazaleh Beigi; Ahmadreza Mosallanezhad; Huan Liu 001 (ICDIS, 2022)

"Let's Eat Grandma": Does Punctuation Matter in Sentence Representation? - Mansooreh Karami; Ahmadreza Mosallanezhad; Michelle V. Mancenido; Huan Liu 001 (ECML/PKDD (2), 2022)

Bias Mitigation for Toxicity Detection via Sequential Decisions. - Lu Cheng 001; Ahmadreza Mosallanezhad; Yasin N. Silva; Deborah L. Hall; Huan Liu 001 (SIGIR, 2022)

Domain Adaptive Fake News Detection via Reinforcement Learning. - Ahmadreza Mosallanezhad; Mansooreh Karami; Kai Shu; Michelle V. Mancenido; Huan Liu 001 (WWW, 2022)

Estimating Topic Exposure for Under-Represented Users on Social Media. - Mansooreh Karami; Ahmadreza Mosallanezhad; Paras Sheth; Huan Liu 001 (CoRR, 2022)

Bridging the Gap: Commonality and Differences between Online and Offline COVID-19 Data. - Nayoung Kim; Ahmadreza Mosallanezhad; Lu Cheng 001; Baoxin Li; Huan Li (CoRR, 2022)

STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. - Paras Sheth; Ahmadreza Mosallanezhad; Kaize Ding; Reepal Shah; John Sabo; Huan Liu 001; K. Selçuk Candan (CIKM, 2023)

Evaluating Trustworthiness of AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). - Pouria Salehi; Yang Ba; Nayoung Kim; Ahmadreza Mosallanezhad; Anna Pan; Myke C. Cohen; Yixuan Wang; Jieqiong Zhao; Shawaiz Bhatti; James Sung; Erik Blasch; Michelle V. Mancenido; et al. (CoRR, 2023)

Towards Trustworthy AI-Enabled Decision Support Systems: Validation of the Multisource AI Scorecard Table (MAST). - Pouria Salehi; Yang Ba; Nayoung Kim; Ahmadreza Mosallanezhad; Anna Pan; Myke C. Cohen; Yixuan Wang; Jieqiong Zhao; Shawaiz Bhatti; James Sung; Erik Blasch; Michelle V. Mancenido; et al. (J. Artif. Intell. Res., 2024)

ScamNet: Toward Explainable Large Language Model-Based Fraudulent Shopping Website Detection. - Marzieh Bitaab; Alireza Karimi; Zhuoer Lyu; Ahmadreza Mosallanezhad; Adam Oest; Ruoyu Wang 001; Tiffany Bao; Yan Shoshitaishvili; Adam Doupé (AAAI, 2025)