MohamadAli Torkamani
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
5
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Robustness Reprogramming for Representation Learning. | Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu |
| 2025 | ICLR | Ensembles of Low-Rank Expert Adapters. | Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani |
| 2025 | PAKDD | TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. | Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu |
| 2024 | DSAA | Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. | Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu |
| 2024 | ICLR | Structural Fairness-aware Active Learning for Graph Neural Networks. | Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada |
| 2023 | ICML | Alternately Optimized Graph Neural Networks. | Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang |
| 2023 | ICML | LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. | Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu |
| 2020 | AAAI | Differential Equation Units: Learning Functional Forms of Activation Functions from Data. | MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis |
| 2014 | ICML | On Robustness and Regularization of Structural Support Vector Machines. | MohamadAli Torkamani, Daniel Lowd |
| 2013 | ICML | Convex Adversarial Collective Classification. | MohamadAli Torkamani, Daniel Lowd |