| Structural contrastive representation learning for zero-shot multi-label text classification T Zhang, Z Xu, T Medini, A Shrivastava Findings of the Association for Computational Linguistics: EMNLP 2022, 4937-4947, 2022 | 4 | 2022 |
| Nomad-attention: Efficient llm inference on cpus through multiply-add-free attention T Zhang, JW Yi, B Yao, Z Xu, A Shrivastava arXiv preprint arXiv:2403.01273, 2024 | 1 | 2024 |
| HashOrder: Accelerating Graph Processing Through Hashing-based Reordering T Zhang, A Desai, G Gupta, A Shrivastava | 1 | 2023 |
| KV Cache is 1 Bit Per Channel: Efficient Large Language Model Inference with Coupled Quantization T Zhang, J Yi, Z Xu, A Shrivastava arXiv preprint arXiv:2405.03917, 2024 | | 2024 |
| Learning Scalable Structural Representations for Link Prediction with Bloom Signatures T Zhang, H Yin, R Wei, P Li, A Shrivastava arXiv preprint arXiv:2312.16784, 2023 | | 2023 |
| InvMixer—An efficient deep neural network for seismic inversion T Zhang, M Araya-Polo, A Shrivastava SEG International Exposition and Annual Meeting, SEG-2023-3907037, 2023 | | 2023 |
| Graph Self-supervised Learning via Proximity Distribution Minimization T Zhang, Z Dai, Z Xu, A Shrivastava Uncertainty in Artificial Intelligence, 2498-2508, 2023 | | 2023 |
| Retaining Knowledge for Learning with Dynamic Definition Z Liu, B Coleman, T Zhang, A Shrivastava Advances in Neural Information Processing Systems 35, 14944-14958, 2022 | | 2022 |
