| A unified lottery ticket hypothesis for graph neural networks T Chen, Y Sui, X Chen, A Zhang, Z Wang International Conference on Machine Learning, 1695-1706, 2021 | 144 | 2021 |
| More convnets in the 2020s: Scaling up kernels beyond 51x51 using sparsity S Liu, T Chen, X Chen, X Chen, Q Xiao, B Wu, M Pechenizkiy, D Mocanu, ... arXiv preprint arXiv:2207.03620, 2022 | 112 | 2022 |
| Self-pu: Self boosted and calibrated positive-unlabeled training X Chen, W Chen, T Chen, Y Yuan, C Gong, K Chen, Z Wang International Conference on Machine Learning, 1510-1519, 2020 | 85 | 2020 |
| Is Attention All That NeRF Needs? M Varma, P Wang, X Chen, T Chen, S Venugopalan, Z Wang The Eleventh International Conference on Learning Representations, 2023 | 60* | 2023 |
| Sanity checks for lottery tickets: Does your winning ticket really win the jackpot? X Ma, G Yuan, X Shen, T Chen, X Chen, X Chen, N Liu, M Qin, S Liu, ... Advances in Neural Information Processing Systems 34, 12749-12760, 2021 | 55 | 2021 |
| Gans can play lottery tickets too X Chen, Z Zhang, Y Sui, T Chen arXiv preprint arXiv:2106.00134, 2021 | 54 | 2021 |
| Efficient lottery ticket finding: Less data is more Z Zhang, X Chen, T Chen, Z Wang International Conference on Machine Learning, 12380-12390, 2021 | 49 | 2021 |
| Orca 2: Teaching Small Language Models How to Reason A Mitra, L Del Corro, S Mahajan, A Codas, C Simoes, S Agarwal, X Chen, ... arXiv preprint arXiv:2311.11045, 2023 | 42 | 2023 |
| Coarsening the granularity: Towards structurally sparse lottery tickets T Chen, X Chen, X Ma, Y Wang, Z Wang International Conference on Machine Learning, 3025-3039, 2022 | 31 | 2022 |
| Sparsity May Cry: Let Us Fail (Current) Sparse Neural Networks Together! S Liu, T Chen, Z Zhang, X Chen, T Huang, A Jaiswal, Z Wang arXiv preprint arXiv:2303.02141, 2023 | 20 | 2023 |
| You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership X Chen, T Chen, Z Zhang, Z Wang Advances in Neural Information Processing Systems 34, 1780-1791, 2021 | 20 | 2021 |
| HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing T Chen, C Gong, DJ Diaz, X Chen, JT Wells, Z Wang, A Ellington, ... NeurIPS 2022 AI for Science: Progress and Promises, 2022 | 11 | 2022 |
| Dsee: Dually sparsity-embedded efficient tuning of pre-trained language models X Chen, T Chen, W Chen, AH Awadallah, Z Wang, Y Cheng arXiv preprint arXiv:2111.00160, 2021 | 7 | 2021 |
| AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts T Chen, X Chen, X Du, A Rashwan, F Yang, H Chen, Z Wang, Y Li Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 5 | 2023 |
| Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models X Chen, T Chen, Y Cheng, W Chen, A Awadallah, Z Wang European Conference on Computer Vision, 389-405, 2022 | 5 | 2022 |
| DnA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment Z Jiang, T Chen, X Chen, Y Cheng, L Zhou, L Yuan, A Awadallah, Z Wang European Conference on Computer Vision, 239-256, 2022 | 5 | 2022 |
| Learning to Bootstrap for Combating Label Noise Y Zhou, X Li, F Liu, X Chen, L Yu, C Xie, MP Lungren, L Xing arXiv preprint arXiv:2202.04291, 2022 | 5 | 2022 |
| Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation Z Jiang, X Chen, X Huang, X Du, D Zhou, Z Wang Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation J Yang, X Chen, T Chen, Z Wang, Y Liang arXiv preprint arXiv:2303.00039, 2023 | 3 | 2023 |
| Sparse Winning Tickets are Data-Efficient Image Recognizers M Varma, X Chen, Z Zhang, T Chen, S Venugopalan, Z Wang Advances in Neural Information Processing Systems, 2022 | 3 | 2022 |
Tianlong ChenIncoming Asst. Professor, CS@UNC Chapel Hill; PostDoc, CSAIL@MIT+BMI@Harvard; Ph.D., ECE@UT AustinPatvirtintas el. paštas mit.edu
