| 2025 | ICML | ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. | Saurabh Jha, Rohan R. Arora, Yuji Watanabe, Takumi Yanagawa, Yinfang Chen, Jackson Clark, Bhavya, Mudit Verma, Harshit Kumar, Hirokuni Kitahara, Noah Zheutlin, Saki Takano, Divya Pathak, Felix George, Xinbo Wu, Bekir O. Turkkan, Gerard Vanloo, Michael Nidd, Ting Dai, Oishik Chatterjee, Pranjal Gupta, Suranjana Samanta, Pooja Aggarwal, Rong Lee, Jae-wook Ahn, Debanjana Kar, Amit M. Paradkar, Yu Deng, Pratibha Moogi, Prateeti Mohapatra, Naoki Abe, Chandrasekhar Narayanaswami, Tianyin Xu, Lav R. Varshney, Ruchi Mahindru, Anca Sailer, Laura Shwartz, Daby Sow, Nicholas C. Fuller, Ruchir Puri |
| 2025 | KDD | Fragile Earth: Innovative AI For Climate Risk Mitigation. | Emre Eftelioglu, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Kathleen Buckingham, Auroop R. Ganguly, James Hodson |
| 2025 | KDD | Practical Contextual Bandits for Large-Scale Structured Discrete Constrained Optimization Problems. | Pavithra Harsha, Chitra Subramanian, Naoki Abe, Shivaram Subramanian, Amadou Ba, Kevin Arturo Fernndez Romn, Mauricio Longinos Garrido, Chandrasekhar Narayanaswami |
| 2024 | AISTATS | Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. | Dongxia Wu, Tsuyoshi Id, Georgios Kollias, Jir Navrtil, Aurlie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu |
| 2024 | DSN | Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. | Saurabh Jha, Jesus Rios, Naoki Abe, Frank Bagehorn, Laura Shwartz |
| 2024 | KDD | Fragile Earth: Generative and Foundational Models for Sustainable Development. | Emre Eftelioglu, Bistra Dilkina, Naoki Abe, Ramakrishnan Kannan, Yuzhou Chen, Yulia R. Gel, Kathleen Buckingham, Auroop R. Ganguly, James Hodson, Jiafu Mao |
| 2023 | AAAI | Fault Injection Based Interventional Causal Learning for Distributed Applications. | Qing Wang, Jesus Rios, Saurabh Jha, Karthikeyan Shanmugam, Frank Bagehorn, Xi Yang, Robert Filepp, Naoki Abe, Larisa Shwartz |
| 2023 | ICASSP | Direction Aware Positional and Structural Encoding for Directed Graph Neural Networks. | Yonas Sium, Georgios Kollias, Tsuyoshi Id, Payel Das, Naoki Abe, Aurlie C. Lozano, Qi Li |
| 2023 | KDD | Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond. | Naoki Abe, Kathleen Buckingham, Yuzhou Chen, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, Yulia R. Gel, James Hodson, Ramakrishnan Kannan, Huikyo Lee, Jiafu Mao, Rose Yu |
| 2023 | KDD | Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution. | Tsuyoshi Id, Naoki Abe |
| 2022 | AAAI | Directed Graph Auto-Encoders. | Georgios Kollias, Vasileios Kalantzis, Tsuyoshi Id, Aurlie C. Lozano, Naoki Abe |
| 2022 | KDD | Fragile Earth: AI for Climate Mitigation, Adaptation, and Environmental Justice. | Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan, Rose Yu |
| 2021 | AAAI | Anomaly Attribution with Likelihood Compensation. | Tsuyoshi Id, Amit Dhurandhar, Jir Navrtil, Moninder Singh, Naoki Abe |
| 2021 | KDD | Fragile Earth: Accelerating Progress towards Equitable Sustainability. | Naoki Abe, Kathleen Buckingham, Bistra Dilkina, Emre Eftelioglu, Auroop R. Ganguly, James Hodson, Ramakrishnan Kannan |
| 2018 | DSAA | Detecting and Counting Panicles in Sorghum Images. | Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe |
| 2013 | ICDM | Collective Response Spike Prediction for Mutually Interacting Consumers. | Rikiya Takahashi, Hideyuki Mizuta, Naoki Abe, Ruby L. Kennedy, Vincent J. Jeffs, Ravi Shah, Robert H. Crites |
| 2011 | ICDM | Temporal Cross-Selling Optimization Using Action Proxy-Driven Reinforcement Learning. | Nan Li, Naoki Abe |
| 2010 | KDD | Optimizing debt collections using constrained reinforcement learning. | Naoki Abe, Prem Melville, Cezar Pendus, Chandan K. Reddy, David L. Jensen, Vince P. Thomas, James J. Bennett, Gary F. Anderson, Brent R. Cooley, Melissa Kowalczyk, Mark Domick, Timothy Gardinier |
| 2009 | KDD | Grouped graphical Granger modeling methods for temporal causal modeling. | Aurlie C. Lozano, Naoki Abe, Yan Liu, Saharon Rosset |
| 2009 | KDD | Spatial-temporal causal modeling for climate change attribution. | Aurlie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe |
| 2009 | SDM | Proximity-Based Anomaly Detection Using Sparse Structure Learning. | Tsuyoshi Id, Aurlie C. Lozano, Naoki Abe, Yan Liu |
| 2008 | KDD | Multi-class cost-sensitive boosting with p-norm loss functions. | Aurlie C. Lozano, Naoki Abe |
| 2007 | KDD | Temporal causal modeling with graphical granger methods. | Andrew Arnold, Yan Liu, Naoki Abe |
| 2006 | DaMoN | Using secure coprocessors for privacy preserving collaborative data mining and analysis. | Bishwaranjan Bhattacharjee, Naoki Abe, Kenneth A. Goldman, Bianca Zadrozny, Vamsavardhana R. Chillakuru, Marysabel del Carpio, Chidanand Apt |
| 2006 | ICDM | A Parameterized Probabilistic Model of Network Evolution for Supervised Link Prediction. | Hisashi Kashima, Naoki Abe |
| 2006 | KDD | Outlier detection by active learning. | Naoki Abe, Bianca Zadrozny, John Langford |
| 2004 | KDD | Cross channel optimized marketing by reinforcement learning. | Naoki Abe, Naval K. Verma, Chidanand Apt, Robert Schroko |
| 2004 | KDD | An iterative method for multi-class cost-sensitive learning. | Naoki Abe, Bianca Zadrozny, John Langford |
| 2003 | ICDM | Cost-Sensitive Learning by Cost-Proportionate Example Weighting. | Bianca Zadrozny, John Langford, Naoki Abe |
| 2002 | ICDM | Empirical Comparison of Various Reinforcement Learning Strategies for Sequential Targeted Marketing. | Naoki Abe, Edwin P. D. Pednault, Haixun Wang, Bianca Zadrozny, Wei Fan, Chidanand Apt |
| 2002 | KDD | Sequential cost-sensitive decision making with reinforcement learning. | Edwin P. D. Pednault, Naoki Abe, Bianca Zadrozny |
| 2001 | ALT | Editors' Introduction. | Naoki Abe, Roni Khardon, Thomas Zeugmann |
| 2000 | ICML | Efficient Mining from Large Databases by Query Learning. | Hiroshi Mamitsuka, Naoki Abe |
| 1999 | ICML | Associative Reinforcement Learning using Linear Probabilistic Concepts. | Naoki Abe, Philip M. Long |
| 1999 | ICML | Learning to Optimally Schedule Internet Banner Advertisements. | Naoki Abe, Atsuyoshi Nakamura |
| 1998 | ACL | Word Clustering and Disambiguation Based on Co-occurence Data. | Hang Li, Naoki Abe |
| 1998 | DIS | Empirical Comparison of Competing Query Learning Methods. | Naoki Abe, Hiroshi Mamitsuka, Atsuyoshi Nakamura |
| 1998 | ICML | Query Learning Strategies Using Boosting and Bagging. | Naoki Abe, Hiroshi Mamitsuka |
| 1998 | ICML | Collaborative Filtering Using Weighted Majority Prediction Algorithms. | Atsuyoshi Nakamura, Naoki Abe |
| 1996 | COLING | Clustering Words with the MDL Principle. | Hang Li, Naoki Abe |
| 1996 | COLING | Learning Dependencies between Case Frame Slots. | Hang Li, Naoki Abe |
| 1996 | ICML | Learning Word Association Norms Using Tree Cut Pair Models. | Naoki Abe, Hang Li |
| 1995 | COLT | On-line Learning of Binary and | Atsuyoshi Nakamura, Naoki Abe |
| 1995 | ICML | On-line Learning of Binary Lexical Relations Using Two-dimensional Weighted Majority Algorithms. | Naoki Abe, Hang Li, Atsuyoshi Nakamura |
| 1994 | ALT | Towards Realistic Theories of Learning. | Naoki Abe |
| 1994 | ALT | Efficient Distribution-free Population Learning of Simple Concepts. | Atsuyoshi Nakamura, Naoki Abe, Jun'ichi Takeuchi |
| 1994 | ICML | A New Method for Predicting Protein Secondary Structures Based on Stochastic Tree Grammars. | Naoki Abe, Hiroshi Mamitsuka |
| 1994 | ISMB | Predicting Location and Structure Of beta-Sheet Regions Using Stochastic Tree Grammars. | Hiroshi Mamitsuka, Naoki Abe |
| 1993 | ALT | Exact Learning of Linear Combinations of Monotone Terms from Function Value Queries. | Atsuyoshi Nakamura, Naoki Abe |
| 1993 | COLT | The "lob-pass" Problem and an On-line Learning Model of Rational Choice. | Naoki Abe, Jun'ichi Takeuchi |
| 1991 | ALT | Preservation of predictability under polynomial sparse variations and its applications. | Naoki Abe |
| 1991 | COLT | Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence. | Naoki Abe, Manfred K. Warmuth, Jun'ichi Takeuchi |
| 1990 | ALT | Learning Commutative Deterministic Finite State Automata in Polynomial Time. | Naoki Abe |
| 1990 | COLT | On the Computational Complexity of Approximating Distributions by Probabilistic Automata. | Naoki Abe, Manfred K. Warmuth |
| 1989 | COLT | Polynomial Learnability of Semilinear Sets. | Naoki Abe |
| 1988 | ACL | Polynominal Learnability and Locality of Formal Grammars. | Naoki Abe |
| 1988 | COLING | Feasible learnability of formal grammars and the theory of natural language acquisition. | Naoki Abe |