| Harnessing the power of llms in practice: A survey on chatgpt and beyond J Yang, H Jin, R Tang, X Han, Q Feng, H Jiang, S Zhong, B Yin, X Hu ACM Transactions on Knowledge Discovery from Data, 2023 | 318 | 2023 |
| Data-centric artificial intelligence: A survey D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu arXiv preprint arXiv:2303.10158, 2023 | 139 | 2023 |
| Revisit kernel pruning with lottery regulated grouped convolutions S Zhong, G Zhang, N Huang, S Xu International Conference on Learning Representations, 2021 | 24 | 2021 |
| KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache Z Liu, J Yuan, H Jin, S Zhong, Z Xu, V Braverman, B Chen, X Hu arXiv preprint arXiv:2402.02750, 2024 | 10 | 2024 |
| Winner-take-all column row sampling for memory efficient adaptation of language model Z Liu, G Wang, SH Zhong, Z Xu, D Zha, RR Tang, ZS Jiang, K Zhou, ... Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
| Data-centric artificial intelligence: A survey. arXiv 2023 D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu arXiv preprint arXiv:2303.10158, 2023 | 7 | 2023 |
| Editable graph neural network for node classifications Z Liu, Z Jiang, S Zhong, K Zhou, L Li, R Chen, SH Choi, X Hu arXiv preprint arXiv:2305.15529, 2023 | 5 | 2023 |
| Retrieval-enhanced knowledge editing for multi-hop question answering in language models Y Shi, Q Tan, X Wu, S Zhong, K Zhou, N Liu arXiv preprint arXiv:2403.19631, 2024 | 3 | 2024 |
| One less reason for filter pruning: Gaining free adversarial robustness with structured grouped kernel pruning SH Zhong, Z You, J Zhang, S Zhao, Z LeClaire, Z Liu, D Zha, ... Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| TVE: Learning Meta-attribution for Transferable Vision Explainer G Wang, YN Chuang, F Yang, M Du, CY Chang, S Zhong, Z Liu, Z Xu, ... | 1* | |
| LoRA-as-an-Attack! Piercing LLM Safety Under The Share-and-Play Scenario H Liu, Z Liu, R Tang, J Yuan, S Zhong, YN Chuang, L Li, R Chen, X Hu arXiv preprint arXiv:2403.00108, 2024 | | 2024 |
| LeanFlex-GKP: Advancing Hassle-Free Structured Pruning with Simple Flexible Group Count J Zhang, S Zhong, A Ye, Z Liu, K Zhou, X Hu, S Xu, V Chaudhary Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
| Soft Prompt Recovers Compressed LLMs, Transferably Z Xu, Z Liu, B Chen, S Zhong, Y Tang, W Jue, K Zhou, X Hu, ... Forty-first International Conference on Machine Learning, 0 | | |
| Knowledge Graphs Can be Learned with Just Intersection Features D Le, S Zhong, Z Liu, S Xu, V Chaudhary, K Zhou, Z Xu Forty-first International Conference on Machine Learning, 0 | | |
| GNNs Also Deserve Editing, and They Need It More Than Once S Zhong, D Le, Z Liu, Z Jiang, A Ye, J Zhang, J Yuan, K Zhou, Z Xu, J Ma, ... Forty-first International Conference on Machine Learning, 0 | | |
Xia "Ben" HuAssociate Professor of Computer Science, Rice University在 rice.edu 的电子邮件经过验证
