Michael Hind
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
17
Active years
1989–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | NAACL | Granite Guardian: Comprehensive LLM Safeguarding. | Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martn Santilln Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri |
| 2022 | AAAI | AI Explainability 360: Impact and Design. | Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang |
| 2021 | COMAD | AI Explainability 360 Toolkit. | Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen, Amit Dhurandhar, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Q. Vera Liao, Ronny Luss, Aleksandra Mojsilovic, Sami Mourad, Pablo Pedemonte, Ramya Raghavendra, John T. Richards, Prasanna Sattigeri, Karthikeyan Shanmugam, Moninder Singh, Kush R. Varshney, Dennis Wei, Yunfeng Zhang |
| 2021 | Persuasive | Disparate Impact Diminishes Consumer Trust Even for Advantaged Users. | Tim Draws, Zoltn Szlvik, Benjamin Timmermans, Nava Tintarev, Kush R. Varshney, Michael Hind |
| 2020 | CHI | Experiences with Improving the Transparency of AI Models and Services. | Michael Hind, Stephanie Houde, Jacquelyn Martino, Aleksandra Mojsilovic, David Piorkowski, John T. Richards, Kush R. Varshney |
| 2019 | AIES | TED: Teaching AI to Explain its Decisions. | Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney |
| 2019 | ICASSP | Constructing and Compressing Frames in Blockchain-based Verifiable Multi-party Computation. | Ravi Kiran Raman, Kush R. Varshney, Roman Vaculn, Nelson Kibichii Bore, Sekou L. Remy, Eleftheria Kyriaki Pissadaki, Michael Hind |
| 2018 | MICCAI | Collaborative Human-AI (CHAI): Evidence-Based Interpretable Melanoma Classification in Dermoscopic Images. | Noel C. F. Codella, Chung-Ching Lin, Allan Halpern, Michael Hind, Rogrio Schmidt Feris, John R. Smith |
| 2007 | OOPSLA | Using hpm-sampling to drive dynamic compilation. | Dries Buytaert, Andy Georges, Michael Hind, Matthew Arnold, Lieven Eeckhout, Koen De Bosschere |
| 2007 | VEE | Dynamic compilation: the benefits of early investing. | Prasad A. Kulkarni, Matthew Arnold, Michael Hind |
| 2006 | CGO | Online Phase Detection Algorithms. | Priya Nagpurkar, Chandra Krintz, Michael Hind, Peter F. Sweeney, V. T. Rajan |
| 2006 | PLDI | Online performance auditing: using hot optimizations without getting burned. | Jeremy Lau, Matthew Arnold, Michael Hind, Brad Calder |
| 2005 | CGO | Virtual Machine Learning: Thinking like a Computer Architect. | Michael Hind |
| 2005 | EMSOFT | High-level real-time programming in Java. | David F. Bacon, Perry Cheng, David Grove, Michael Hind, V. T. Rajan, Eran Yahav, Matthias Hauswirth, Christoph M. Kirsch, Daniel Spoonhower, Martin T. Vechev |
| 2004 | ECOOP | Pointer Analysis in the Presence of Dynamic Class Loading. | Martin Hirzel, Amer Diwan, Michael Hind |
| 2004 | OOPSLA | Vertical profiling: understanding the behavior of object-priented applications. | Matthias Hauswirth, Peter F. Sweeney, Amer Diwan, Michael Hind |
| 2002 | OOPSLA | Online feedback-directed optimization of Java. | Matthew Arnold, Michael Hind, Barbara G. Ryder |
| 2000 | ECOOP | Optimizing Java Programs in the Presence of Exceptions. | Manish Gupta, Jong-Deok Choi, Michael Hind |
| 2000 | ISSTA | Which pointer analysis should I use? | Michael Hind, Anthony Pioli |
| 2000 | OOPSLA | Adaptive optimization in the Jalapeo JVM. | Matthew Arnold, Stephen J. Fink, David Grove, Michael Hind, Peter F. Sweeney |
| 2000 | OOPSLA | Adaptive optimization in the Jalapeo JVM (poster session). | Matthew Arnold, Stephen Fink, David Grove, Michael Hind, Peter F. Sweeney |
| 1998 | SAS | Assessing the Effects of Flow-Sensitivity on Pointer Alias Analyses. | Michael Hind, Anthony Pioli |
| 1995 | PLDI | Flow-Sensitive Interprocedural Constant Propagation. | Paul R. Carini, Michael Hind |
| 1992 | SC | Loop Distribution with Multiple Exits. | Bor-Ming Hsieh, Michael Hind, Ron Cryton |
| 1989 | PLDI | Automatic Generation of DAG Parallelism. | Ron Cytron, Michael Hind, Wilson C. Hsieh |