| 2026 | ICALP | Local Samplers for Product Distributions. | Jordan Horacsek, Chin Ho Lee, Igor Shinkar, Emanuele Viola, Renfei Zhou |
| 2024 | SODA | Quantum Worst-Case to Average-Case Reductions for All Linear Problems. | Vahid R. Asadi, Alexander Golovnev, Tom Gur, Igor Shinkar, Sathyawageeswar Subramanian |
| 2024 | STOC | On the Power of Interactive Proofs for Learning. | Tom Gur, Mohammad Mahdi Jahanara, Mohammad Mahdi Khodabandeh, Ninad Rajgopal, Bahar Salamatian, Igor Shinkar |
| 2022 | STOC | Worst-case to average-case reductions via additive combinatorics. | Vahid R. Asadi, Alexander Golovnev, Tom Gur, Igor Shinkar |
| 2021 | ICALP | Relaxed Locally Correctable Codes with Improved Parameters. | Vahid R. Asadi, Igor Shinkar |
| 2020 | SODA | Relaxed Locally Correctable Codes with Nearly-Linear Block Length and Constant Query Complexity. | Alessandro Chiesa, Tom Gur, Igor Shinkar |
| 2019 | SOFSEM | Sorting Networks on Restricted Topologies. | Indranil Banerjee, Dana Richards, Igor Shinkar |
| 2016 | ICALP | On Percolation and NP-Hardness. | Huck Bennett, Daniel Reichman, Igor Shinkar |
| 2015 | ICALP | Zero-Fixing Extractors for Sub-Logarithmic Entropy. | Gil Cohen, Igor Shinkar |
| 2014 | FOCS | Bi-Lipschitz Bijection between the Boolean Cube and the Hamming Ball. | Itai Benjamini, Gil Cohen, Igor Shinkar |