Victor Fung

According to our database, Victor Fung authored at least 17 papers between 1993 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Reasoning-Driven Design of Single Atom Catalysts via a Multi-Agent Large Language Model Framework.

Dong Hyeon Mok, Seoin Back, Victor Fung, Guoxiang Hu

CoRR, February, 2026

2025

Facet: highly efficient E(3)-equivariant networks for interatomic potentials.

Nicholas Miklaucic, Lai Wei, Rongzhi Dong, Nihang Fu, Sadman Sadeed Omee, Qingyang Li, Sourin Dey, Victor Fung, Jianjun Hu

CoRR, September, 2025

RoFt-Mol: Benchmarking Robust Fine-Tuning with Molecular Graph Foundation Models.

Shikun Liu, Deyu Zou, Nima Shoghi, Victor Fung, Kai Liu, Pan Li

CoRR, September, 2025

MatterTune: An Integrated, User-Friendly Platform for Fine-Tuning Atomistic Foundation Models to Accelerate Materials Simulation and Discovery.

Lingyu Kong, Nima Shoghi, Guoxiang Hu, Pan Li, Victor Fung

CoRR, April, 2025

Pre-training Graph Neural Networks with Structural Fingerprints for Materials Discovery.

Shuyi Jia, Shitij Govil, Manav Ramprasad, Victor Fung

CoRR, March, 2025

2024

LLMatDesign: Autonomous Materials Discovery with Large Language Models.

Shuyi Jia, Chao Zhang, Victor Fung

CoRR, 2024

On the Quantification of Image Reconstruction Uncertainty without Training Data.

Jiaxin Zhang, Sirui Bi, Victor Fung

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GeSS: Benchmarking Geometric Deep Learning under Scientific Applications with Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Improving materials property predictions for graph neural networks with minimal feature engineering ^*.

Guojing Cong, Victor Fung

Mach. Learn. Sci. Technol., September, 2023

GDL-DS: A Benchmark for Geometric Deep Learning under Distribution Shifts.

Deyu Zou, Shikun Liu, Siqi Miao, Victor Fung, Shiyu Chang, Pan Li

CoRR, 2023

Accelerating Inverse Learning via Intelligent Localization with Exploratory Sampling.

Sirui Bi, Victor Fung, Jiaxin Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Atomic structure generation from reconstructing structural fingerprints.

Victor Fung, Shuyi Jia, Jiaxin Zhang, Sirui Bi, Junqi Yin, Panchapakesan Ganesh

Mach. Learn. Sci. Technol., December, 2022

Extensive Attention Mechanisms in Graph Neural Networks for Materials Discovery.

Guojing Cong, Talia Ben-Naim, Victor Fung, Anshul Gupta, Rodrigo Neumann, Mathias Steiner

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Inverse design of two-dimensional materials with invertible neural networks.

Victor Fung, Jiaxin Zhang, Guoxiang Hu, Panchapakesan Ganesh, Bobby G. Sumpter

CoRR, 2021

2019

Alkane Conversion on Heterogeneous Catalysts From First Principles and Descriptors

Victor Fung

PhD thesis, 2019

1994

Performance advantages of distributed antennas in indoor wireless communication systems.

Peter Chow, Ali Karim, Victor Fung, Carl B. Dietrich

Proceedings of 44th IEEE Vehicular Technology Conference: Creating Tomorrow's Mobile Systems, 1994

1993

Bit Error Simulation for pi/4 DQPSK Mobile Radio Communications using Two-Ray and Measurement-Based Impulse Response Models.

Victor Fung, Theodore S. Rappaport, Berthold Thoma

IEEE J. Sel. Areas Commun., 1993