Yixiao Chen
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:
Bibliography
2026
STORM: Internalized Modeling for Spatial-Temporal Reasoning in Video-Language Models.
CoRR, May, 2026
CoRR, May, 2026
CoRR, April, 2026
CoRR, March, 2026
CoRR, February, 2026
Effective MoE-based LLM Compression by Exploiting Heterogeneous Inter-Group Experts Routing Frequency and Information Density.
CoRR, February, 2026
A Hybrid Optimal Acceleration Evaluation Model for Automated Driving Based on Importance Sampling Method.
IEEE Trans Autom. Sci. Eng., 2026
2025
CoRR, December, 2025
CoRR, December, 2025
A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios.
CoRR, October, 2025
CoRR, September, 2025
CoRR, September, 2025
DyMixOp: Guiding Neural Operator Design for PDEs from a Complex Dynamics Perspective with Local-Global-Mixing.
CoRR, August, 2025
CoRR, May, 2025
Dual-Flow: Transferable Multi-Target, Instance-Agnostic Attacks via In-the-wild Cascading Flow Optimization.
CoRR, February, 2025
CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing.
CoRR, February, 2025
Review of Scenario Virtual Testing Technology for Autonomous Vehicles: Migration Challenges Between Symmetric Frameworks and Asymmetric Scenarios.
Symmetry, 2025
J. Chem. Inf. Model., 2025
J. Chem. Inf. Model., 2025
Briefings Bioinform., 2025
Proceedings of the IEEE Conference on Artificial Intelligence, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
IEEE Trans. Intell. Transp. Syst., December, 2024
PeakFS: An Ultra-High Performance Parallel File System via Computing-Network-Storage Co-Optimization for HPC Applications.
IEEE Trans. Parallel Distributed Syst., October, 2024
Measured Regional Division Optimization for Acoustic Tomography Velocity Field Reconstruction in a Circular Area.
Sensors, March, 2024
Ground state phases of the two-dimension electron gas with a unified variational approach.
CoRR, 2024
Demo: An Open-Source and Standards-Based Network-as-a-Service Platform for Cloud VR Gaming.
Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024
Enabling Cloud AR/VR Gaming Services by an Open-Source and Standards-Based Network-as-a-Service Platform for Control and Management of Optical Networks.
Proceedings of the 24th International Conference on Transparent Optical Networks, 2024
Utilizing Sensing Coil for Device Model Recognition in Qi-Compatible Wireless Charging.
Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024
2023
Drought Monitoring from Fengyun Satellite Series: A Comparative Analysis with Meteorological-Drought Composite Index (MCI).
Remote. Sens., November, 2023
DeePKS-kit: A package for developing machine learning-based chemically accurate energy and density functional models.
Comput. Phys. Commun., 2023
CoRR, 2023
IEEE Access, 2023
MmSN: Accurate Short-term Load Forecasting via a Multi-module Structural Network Based on Multi-feature Fusion.
Proceedings of the 6th IEEE International Conference on Information Systems and Computer Aided Educatio, 2023
2022
DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials.
CoRR, 2022
Extending the limit of molecular dynamics with ab initio accuracy to 10 billion atoms.
CoRR, 2022
Extending the limit of molecular dynamics with <i>ab initio</i> accuracy to 10 billion atoms.
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022
Proceedings of the 19th International SoC Design Conference, 2022
2021
Deep Density: Circumventing the Kohn-Sham equations via symmetry preserving neural networks.
J. Comput. Phys., 2021
2020
DeePKS: a comprehensive data-driven approach towards chemically accurate density functional theory.
CoRR, 2020