Amulya Yadav
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
9
Active years
2014–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AIES | Exposing AI Bias by Crowdsourcing: Democratizing Critique of Large Language Models. | Hangzhi Guo, Pranav Narayanan Venkit, Eunchae Jang, Mukund Srinath, Wenbo Zhang, Bonam Mingole, Vipul Gupta, Kush R. Varshney, S. Shyam Sundar, Amulya Yadav |
| 2025 | NAACL | Have LLMs Reopened the Pandora's Box of AI-Generated Fake News? | Xinyu Wang, Wenbo Zhang, Sai Dileep Koneru, Hangzhi Guo, Bonam Mingole, S. Shyam Sundar, Sarah Rajtmajer, Amulya Yadav |
| 2025 | PRICAI | Watermarking Counterfactual Explanations. | Hangzhi Guo, Firdaus Ahmed Choudhury, Tinghua Chen, Amulya Yadav |
| 2023 | AAAI | A Continual Pre-training Approach to Tele-Triaging Pregnant Women in Kenya. | Wenbo Zhang, Hangzhi Guo, Prerna Ranganathan, Jay Patel, Sathyanath Rajasekharan, Nidhi Danayak, Manan Gupta, Amulya Yadav |
| 2023 | CIKM | RoCourseNet: Robust Training of a Prediction Aware Recourse Model. | Hangzhi Guo, Feiran Jia, Jinghui Chen, Anna Cinzia Squicciarini, Amulya Yadav |
| 2023 | KDD | epiDAMIK 6.0: The 6th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Alexander Rodrguez, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2023 | KDD | CounterNet: End-to-End Training of Prediction Aware Counterfactual Explanations. | Hangzhi Guo, Thanh Hong Nguyen, Amulya Yadav |
| 2023 | KDD | KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). | Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang |
| 2022 | AAAI | Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. | Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2022 | CIKM | WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. | Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | IJCAI | Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. | Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | KDD | epiDAMIK 5.0: The 5th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. | Bijaya Adhikari, Amulya Yadav, Sen Pei, Ajitesh Srivastava, Sarah Kefayati, Alexander Rodrguez, Marie-Laure Charpignon, Anil Vullikanti, B. Aditya Prakash |
| 2021 | AAAI | Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use. | Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav |
| 2021 | AAAI | Clinical Trial of an AI-Augmented Intervention for HIV Prevention in Youth Experiencing Homelessness. | Bryan Wilder, Laura Onasch-Vera, Graham T. DiGuiseppi, Robin Petering, Chyna Hill, Amulya Yadav, Eric Rice, Milind Tambe |
| 2021 | KDD | The 4th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK 4.0 @ KDD2021). | Bijaya Adhikari, Ajitesh Srivastava, Sen Pei, Sarah Kefayati, Rose Yu, Amulya Yadav, Alexander Rodrguez, Arvind Ramanathan, Anil Vullikanti, B. Aditya Prakash |
| 2021 | KDD | A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. | Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2020 | AAAI | Improving Lives of Indebted Farmers Using Deep Learning: Predicting Agricultural Produce Prices Using Convolutional Neural Networks. | Hangzhi Guo, Alexander Woodruff, Amulya Yadav |
| 2020 | ECAI | Decoding the Imitation Security Game: Handling Attacker Imitative Behavior Deception. | Thanh Hong Nguyen, Nam Vu, Amulya Yadav, Uy Nguyen |
| 2020 | IJCAI | Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth. | Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang |
| 2020 | KDD | Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. | Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav |
| 2018 | IJCAI | Bridging the Gap Between Theory and Practice in Influence Maximization: Raising Awareness about HIV among Homeless Youth. | Amulya Yadav, Bryan Wilder, Eric Rice, Robin Petering, Jaih Craddock, Amanda Yoshioka-Maxwell, Mary Hemler, Laura Onasch-Vera, Milind Tambe, Darlene Woo |
| 2017 | IJCAI | Maximizing Awareness about HIV in Social Networks of Homeless Youth with Limited Information. | Amulya Yadav, Hau Chan, Albert Xin Jiang, Haifeng Xu, Eric Rice, Milind Tambe |
| 2017 | IJCAI | Explanation Systems for Influence Maximization Algorithms. | Amulya Yadav, Aida Rahmattalabi, Ece Kamar, Phebe Vayanos, Milind Tambe, Venil Loyd Noronha |
| 2016 | AAAI | Simultaneous Influencing and Mapping for Health Interventions. | Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe |
| 2016 | PAAMS | Protecting the NECTAR of the Ganga River Through Game-Theoretic Factory Inspections. | Benjamin J. Ford, Matthew Brown, Amulya Yadav, Amandeep Singh, Arunesh Sinha, Biplav Srivastava, Christopher Kiekintveld, Milind Tambe |
| 2015 | AAAI | Preventing HIV Spread in Homeless Populations Using PSINET. | Amulya Yadav, Leandro Soriano Marcolino, Eric Rice, Robin Petering, Hailey Winetrobe, Harmony Rhoades, Milind Tambe, Heather Carmichael |
| 2014 | AAAI | Regret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty. | Thanh Hong Nguyen, Amulya Yadav, Bo An, Milind Tambe, Craig Boutilier |
| 2014 | ECAI | Unleashing Dec-MDPs in Security Games: Enabling Effective Defender Teamwork. | Eric Anyung Shieh, Albert Xin Jiang, Amulya Yadav, Pradeep Varakantham, Milind Tambe |