Zun Wang
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
- Zun Wang 001 (University of North Carolina at Chapel Hill, NC, USA)
- Zun Wang 002 (China Industrial Control Systems Cyber Emergency Response Team, Beijing, China)
- Zun Wang 003 (Zhejiang University, Hangzhou, China)
- Zun Wang 004 (Capital Normal University, Beijing, China)
- Zun Wang 005 (Dalian University of Technology, Dalian, China)
- Zun Wang 006 (Shanghai Artificial Intelligence Laboratory, Shanghai, China)
Bibliography
2025
DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management.
CoRR, May, 2025
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning.
CoRR, April, 2025
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance.
CoRR, March, 2025
CoRR, March, 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems.
CoRR, February, 2025
CoRR, February, 2025
CoRR, February, 2025
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity.
CoRR, February, 2025
E2Former: A Linear-time Efficient and Equivariant Transformer for Scalable Molecular Modeling.
CoRR, January, 2025
SE3Set: Harnessing Equivariant Hypergraph Neural Networks for Molecular Representation Learning.
Trans. Mach. Learn. Res., 2025
Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance.
Trans. Mach. Learn. Res., 2025
Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity.
Proceedings of the Forty-second International Conference on Machine Learning, 2025
FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
2024
CoRR, 2024
Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Models.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
Cluster-Mined Negative Samples for Enhanced Unsupervised Sentence Representation Learning.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
A robust spatial-temporal prediction model for photovoltaic power generation based on deep learning.
Comput. Electr. Eng., September, 2023
Efficiently incorporating quintuple interactions into geometric deep learning force fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields.
Proceedings of the Benchmarking, Measuring, and Optimizing, 2023
2022
An ensemble of VisNet, Transformer-M, and pretraining models for molecular property prediction in OGB Large-Scale Challenge @ NeurIPS 2022.
CoRR, 2022
10 Gigabit industrial thermal data acquisition and storage solution based on software-defined network.
Proceedings of the 7th IEEE International Conference on Data Science in Cyberspace, 2022
Attention-based Automated Chest CT Image Segmentation Method of COVID-19 Lung Infection.
Proceedings of the 22nd IEEE International Conference on Bioinformatics and Bioengineering, 2022
2019
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019
2016
J. Intell. Transp. Syst., 2016
Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, 2016
2014
Double Girder Bridge Crane with Double Cycling: Scheduling Strategy and Performance Evaluation.
J. Appl. Math., 2014
2008
A Data Dependency Relationship Directed Graph and Block Structures Based Abstract Geospatial Information Service Chain Model.
Proceedings of the NCM 2008, The Fourth International Conference on Networked Computing and Advanced Information Management, Gyeongju, Korea, September 2-4, 2008, 2008