Victor Fung - RankMe

20 papers A* 2A 1B 1Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model Framework. CoRR Dong Hyeon Mok, Seoin Back, Victor Fung, Guoxiang Hu
2025	J	`jnl`	Facet: highly efficient E(3)-equivariant networks for interatomic potentials. CoRR Nicholas Miklaucic, Lai Wei, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Qingyang Li, Sourin Dey, Victor Fung, Jianjun Hu
2025	J	`jnl`	MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery. CoRR Lingyu Kong, Nima Shoghi, Guoxiang Hu, Pan Li, Victor Fung
2025	J	`jnl`	Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery. CoRR Shuyi Jia, Shitij Govil, Manav Ramprasad, Victor Fung
2025	J	`jnl`	RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models. CoRR Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li
2024	A*	`conf`	GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts. NeurIPS Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
2024	J	`jnl`	LLMatDesign: Autonomous Materials Discovery with Large Language Models. CoRR Shuyi Jia, Chao Zhang, Victor Fung
2024	A	`conf`	On the Quantification of Image Reconstruction Uncertainty without Training Data. WACV Jiaxin Zhang, Sirui Bi, Victor Fung
2023	A*	`conf`	Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. AAAI Sirui Bi, Victor Fung, Jiaxin Zhang
2023	J	`jnl`	GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts. CoRR Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li
2023	J	`jnl`	Improving materials property predictions for graph neural networks with minimal feature engineering Mach. Learn. Sci. Technol. Guojing Cong, Victor Fung
2023	J	`jnl`	On the Quantification of Image Reconstruction Uncertainty without Training Data. CoRR Sirui Bi, Victor Fung, Jiaxin Zhang
2022	J	`jnl`	Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling. CoRR Jiaxin Zhang, Sirui Bi, Victor Fung
2022	J	`jnl`	Atomic structure generation from reconstructing structural fingerprints. CoRR Victor Fung, Shuyi Jia, Jiaxin Zhang, Sirui Bi, Junqi Yin, Panchapakesan Ganesh
2022	J	`jnl`	Atomic structure generation from reconstructing structural fingerprints. Mach. Learn. Sci. Technol. Victor Fung, Shuyi Jia, Jiaxin Zhang, Sirui Bi, Junqi Yin, Panchapakesan Ganesh
2022	—	`conf`	Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery. ICDM (Workshops) Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner
2021	J	`jnl`	Inverse design of two-dimensional materials with invertible neural networks. CoRR Victor Fung, Jiaxin Zhang, Guoxiang Hu, Panchapakesan Ganesh, Bobby G. Sumpter
2019	—	`—`	Alkane Conversion on Heterogeneous Catalysts From First Principles and Descriptors Victor Fung
1994	B	`conf`	Performance advantages of distributed antennas in indoor wireless communication systems. VTC Peter Chow, Ali Karim, Victor Fung, Carl B. Dietrich
1993	J	`jnl`	Bit Error Simulation for pi/4 DQPSK Mobile Radio Communications using Two-Ray and Measurement-Based Impulse Response Models. IEEE J. Sel. Areas Commun. Victor Fung, Theodore S. Rappaport, Berthold Thoma