MohamadAli Torkamani

20 papers A* 8B 1Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Ensembles of Low-Rank Expert Adapters. ICLR Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani
2025	J	`jnl`	Ensembles of Low-Rank Expert Adapters. CoRR Yinghao Li, Vianne R. Gao, Chao Zhang, MohamadAli Torkamani
2025	A*	`conf`	Robustness Reprogramming for Representation Learning. ICLR Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
2025	—	`conf`	TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. PAKDD (2) Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2024	B	`conf`	Adversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier. DSAA Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu
2024	J	`jnl`	HLogformer: A Hierarchical Transformer for Representing Log Data. CoRR Zhichao Hou, Mina Ghashami, Mikhail Kuznetsov, MohamadAli Torkamani
2024	J	`jnl`	Robustness Reprogramming for Representation Learning. CoRR Zhichao Hou, MohamadAli Torkamani, Hamid Krim, Xiaorui Liu
2024	A*	`conf`	Structural Fairness-aware Active Learning for Graph Neural Networks. ICLR Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024	J	`jnl`	TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. CoRR Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu
2023	A*	`conf`	Alternately Optimized Graph Neural Networks. ICML Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023	A*	`conf`	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. ICML Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023	J	`jnl`	LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation. CoRR Rui Xue, Haoyu Han, MohamadAli Torkamani, Jian Pei, Xiaorui Liu
2023	A*	`conf`	Towards Label Position Bias in Graph Neural Networks. NeurIPS Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2023	J	`jnl`	Towards Label Position Bias in Graph Neural Networks. CoRR Haoyu Han, Xiaorui Liu, Feng Shi, MohamadAli Torkamani, Charu C. Aggarwal, Jiliang Tang
2020	A*	`conf`	Differential Equation Units: Learning Functional Forms of Activation Functions from Data. AAAI MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis
2019	J	`jnl`	Differential Equation Units: Learning Functional Forms of Activation Functions from Data. CoRR MohamadAli Torkamani, Shiv Shankar, Amirmohammad Rooshenas, Phillip Wallis
2019	J	`jnl`	Learning Compact Neural Networks Using Ordinary Differential Equations as Activation Functions. CoRR MohamadAli Torkamani, Phillip Wallis, Shiv Shankar, Amirmohammad Rooshenas
2014	A*	`conf`	On Robustness and Regularization of Structural Support Vector Machines. ICML MohamadAli Torkamani, Daniel Lowd
2013	—	`conf`	Convex Adversarial Collective Classification. ICML (1) MohamadAli Torkamani, Daniel Lowd
2012	—	`conf`	Convex Adversarial Collective Classification. StarAI@UAI MohamadAli Torkamani, Daniel Lowd