Zixuan Gong

According to our database, Zixuan Gong authored at least 19 papers between 2023 and 2026.

Collaborative distances:

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

2026

Sparsity is Combinatorial Depth: Quantifying MoE Expressivity via Tropical Geometry.

Ye Su, Huayi Tang, Zixuan Gong, Yong Liu

CoRR, February, 2026

Effective Frontiers: A Unification of Neural Scaling Laws.

Jiaxuan Zou, Zixuan Gong, Ye Su, Huayi Tang, Yong Liu

CoRR, February, 2026

Beyond the Black Box: Theory and Mechanism of Large Language Models.

Zeyu Gan, Ruifeng Ren, Wei Yao, Xiaolin Hu, Gengze Xu, Chen Qian, Huayi Tang, Zixuan Gong, Xinhao Yao, Pengwei Tang, Zhenxing Dou, Yong Liu

CoRR, January, 2026

2025

What Makes Looped Transformers Perform Better Than Non-Recursive Ones (Provably).

Zixuan Gong, Jiaye Teng, Yong Liu

CoRR, October, 2025

Disentangling Feature Structure: A Mathematically Provable Two-Stage Training Dynamics in Transformers.

Zixuan Gong, Jiaye Teng, Yong Liu

CoRR, February, 2025

Efficient Diffusion Models: A Survey.

Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

Trans. Mach. Learn. Res., 2025

Towards Auto-Regressive Next-Token Prediction: In-context Learning Emerges from Generalization.

Zixuan Gong, Xiaolin Hu, Huayi Tang, Yong Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI.

Guangyin Bao, Qi Zhang, Zixuan Gong, Zhuojia Wu, Duoqian Miao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Nexa: A Context-Aware Assistant for Service Recommendation on Smartphones.

Li Chen, Kaige Yang, Zixuan Gong

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology.

Xiaolin Hu, Zixuan Gong, Gengze Xu, Wei Liu, Jian Luan, Bin Wang, Yong Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Rongtao Xu, Ke Liu, Liang Hu, Duoqian Miao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding.

Guangyin Bao, Qi Zhang, Zixuan Gong, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

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

Guangyin Bao, Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi, Usman Naseem, Liang Hu, Duoqian Miao

CoRR, 2024

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

Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu, Duoqian Miao

CoRR, 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction.

Zixuan Gong, Guangyin Bao, Qi Zhang, Zhongwei Wan, Duoqian Miao, Shoujin Wang, Lei Zhu, Changwei Wang, Rongtao Xu, Liang Hu, Ke Liu, Yu Zhang

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

Lite-Mind: Towards Efficient and Robust Brain Representation Learning.

Zixuan Gong, Qi Zhang, Guangyin Bao, Lei Zhu, Yu Zhang, Ke Liu, Liang Hu, Duoqian Miao

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.

Yu Zhang, Qi Zhang, Zixuan Gong, Yiwei Shi, Yepeng Liu, Duoqian Miao, Yang Liu, Ke Liu, Kun Yi, Wei Fan, Liang Hu, Changwei Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

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

Guangyin Bao, Qi Zhang, Duoqian Miao, Zixuan Gong, Liang Hu

CoRR, 2023

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

Zixuan Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang Hu

CoRR, 2023