| Robust overfitting may be mitigated by properly learned smoothening T Chen*, Z Zhang*, S Liu, S Chang, Z Wang (* Equal Contribution, ICLR) International Conference on Learning …, 2021 | 176 | 2021 |
| Long live the lottery: The existence of winning tickets in lifelong learning T Chen*, Z Zhang*, S Liu, S Chang, Z Wang (* Equal Contribution, ICLR) International Conference on Learning …, 2021 | 70 | 2021 |
| Gans can play lottery tickets too X Chen*, Z Zhang*, Y Sui, T Chen (* Equal Contribution, ICLR) International Conference on Learning …, 2021 | 54 | 2021 |
| Efficient lottery ticket finding: Less data is more Z Zhang*, X Chen*, T Chen*, Z Wang (* Equal Contribution, ICML) International Conference on Machine Learning, 2021 | 50 | 2021 |
| HO: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Z Zhang, Y Sheng, T Zhou, T Chen, L Zheng, R Cai, Z Song, Y Tian, C Ré, ... (NeurIPS) Advances in Neural Information Processing Systems, 2023 | 48 | 2023 |
| " BNN-BN=?": Training Binary Neural Networks without Batch Normalization T Chen, Z Zhang, X Ouyang, Z Liu, Z Shen, Z Wang (CVPR Workshops Spotlight) IEEE Conference on Computer Vision and Pattern …, 2021 | 39 | 2021 |
| The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy T Chen, Z Zhang, Y Cheng, A Awadallah, Z Wang (CVPR) IEEE Conference on Computer Vision and Pattern Recognition, 2022 | 34 | 2022 |
| Sparsity Winning Twice: Better Robust Generalization from More Efficient Training T Chen*, Z Zhang*, P Wang*, S Balachandra*, H Ma*, Z Wang, Z Wang (* Equal Contribution, ICLR) International Conference on Learning …, 2022 | 27 | 2022 |
| Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free T Chen*, Z Zhang*, Y Zhang*, S Chang, S Liu, Z Wang (* Equal Contribution, CVPR) IEEE Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership X Chen, T Chen, Z Zhang, Z Wang (NeurIPS) Advances in Neural Information Processing Systems, 2021 | 20 | 2021 |
| Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers T Chen*, Z Zhang*, AK JAISWAL, S Liu, Z Wang (* Equal Contribution, ICLR Spotlight) International Conference on Learning …, 2023 | 19 | 2023 |
| Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! S Liu, T Chen, Z Zhang, X Chen, T Huang, AK JAISWAL, Z Wang (ICLR Spotlight) International Conference on Learning Representations, 2023 | 19 | 2023 |
| Can You Win Everything with A Lottery Ticket? T Chen, Z Zhang, J Wu, R Huang, S Liu, S Chang, Z Wang (TMLR) Transactions on Machine Learning Research, 2022 | 11 | 2022 |
| Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness T Chen, H Zhang, Z Zhang, S Chang, S Liu, PY Chen, Z Wang (ICML) International Conference on Machine Learning, 2022 | 11 | 2022 |
| JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention Y Tian, Y Wang, Z Zhang, B Chen, S Du (ICLR) International Conference on Learning Representations, 2023 | 10 | 2023 |
| Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets R Cai*, Z Zhang*, T Chen, X Chen, Z Wang (* Equal Contribution, NeurIPS) Advances in Neural Information Processing …, 2022 | 9 | 2022 |
| Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity L Yin, Y Wu, Z Zhang, CY Hsieh, Y Wang, Y Jia, M Pechenizkiy, Y Liang, ... (CPAL, Recent Spotlight Track) Conference on Parsimony and Learning, 2023 | 7 | 2023 |
| Are Large Kernels Better Teachers than Transformers for ConvNets? T Huang, L Yin, Z Zhang, L Shen, M Fang, M Pechenizkiy, Z Wang, S Liu (ICML) International Conference on Machine Learning, 2023 | 7 | 2023 |
| Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? R Cai, Z Zhang, Z Wang (ICML) International Conference on Machine Learning, 2023 | 5 | 2023 |
| Data-Efficient Double-Win Lottery Tickets from Robust Pre-training T Chen, Z Zhang, S Liu, Y Zhang, S Chang, Z Wang (ICML) International Conference on Machine Learning, 2022 | 5 | 2022 |
Zhangyang (Atlas) WangUniversity of Texas at Austin & Picsart AI ResearchVerified email at utexas.edu
