Zixuan Gong

Orcid: 0009-0008-8961-5437

According to our database1, Zixuan Gong authored at least 14 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers.
CoRR, February, 2025

Efficient Diffusion Models: A Survey.
Trans. Mach. Learn. Res., 2025

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Wills Aligner: A Robust Multi-Subject Brain Representation Learner.
CoRR, 2024

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction.
CoRR, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Lite-Mind: Towards Efficient and Robust Brain Representation Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast.
CoRR, 2023

Lite-Mind: Towards Efficient and Versatile Brain Representation Network.
CoRR, 2023


  Loading...