| A Tighter Complexity Analysis of SparseGPT X Li, Y Liang, Z Shi, Z Song Machine Learning and Compression Workshop, NeurIPS 2024, 2024 | 18 | 2024 |
| Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent B Chen, X Li, Y Liang, Z Shi, Z Song AISTATS 2025, 2025 | 12 | 2025 |
| Fine-grained Attention I/O Complexity: Comprehensive Analysis for Backward Passes X Li, Y Liang, Z Shi, Z Song, Y Zhou arXiv preprint arXiv:2410.09397, 2024 | 11 | 2024 |
| Quantum Speedups for Approximating the John Ellipsoid X Li, Z Song, J Yu QIP 2025, 2025 | 5* | 2025 |
| Fast Second-order Method for Neural Networks under Small Treewidth Setting X Li, J Long, Z Song, T Zhou 2024 IEEE International Conference on Big Data (BigData), 1029-1038, 2024 | 3 | 2024 |
| DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection YT Chang, Z Hu, X Li, S Yang, J Jiang, N Sun Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 2 | 2024 |
| Faster Sampling Algorithms for Polytopes with Small Treewidth Y Ke, X Li, Z Song, T Zhou 2024 IEEE International Conference on Big Data (BigData), 44-53, 2024 | 1 | 2024 |
| RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation Y Cao, C Gong, X Li, Y Liang, Z Sha, Z Shi, Z Song arXiv preprint arXiv:2501.09982, 2025 | | 2025 |
| On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis Y Ke, X Li, Y Liang, Z Sha, Z Shi, Z Song arXiv preprint arXiv:2501.04377, 2025 | | 2025 |
Zhao SongSimons Institute for the Theory of Computing, UC Berkeley在 ias.edu 的电子邮件经过验证
