| Estimating three-and four-parameter MIRT models with importance-weighted sampling enhanced variational auto-encoder T Liu, C Wang, G Xu Frontiers in Psychology 13, 935419, 2022 | 10 | 2022 |
| An Empirical Comparison of GANs and Normalizing Flows for Density Estimation T Liu, J Regier NeurIPS 2021 Workshop on Bayesian Deep Learning, 2021 | 9* | 2021 |
| RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning H Wang, T Liu, T Zhao, J Gao EMNLP 2024, 2024 | 7 | 2024 |
| Optimization for Amortized Inverse Problems T Liu, T Yang, Q Zhang, Q Lei Proceedings of the 40th International Conference on Machine Learning 202 …, 2023 | 6 | 2023 |
| SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification T Liu, H Wang, Y Wang, X Wang, L Su, J Gao Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14338 …, 2023 | 6 | 2023 |
| Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks D Zhang, T Liu, J Kang Stat 12 (1), e604, 2023 | 4 | 2023 |
| Physically informed machine-learning algorithms for the identification of two-dimensional atomic crystals L Zichi, T Liu, E Drueke, L Zhao, G Xu Scientific Reports 13 (1), 6143, 2023 | 3 | 2023 |
| mmCLIP: Boosting mmWave-based Zero-shot HAR via Signal-Text Alignment Q Cao, H Xue, T Liu, X Wang, H Wang, X Zhang, L Su Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024 | 2 | 2024 |
| FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction F Wu, X Wang, Y Wang, T Liu, L Su, J Gao NeurIPS 2024, 2024 | 2 | 2024 |
| HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference H Wang, Y Wang, T Liu, T Zhao, J Gao Findings of the Association for Computational Linguistics: EMNLP 2023, 4283-4294, 2023 | 2 | 2023 |
| Towards efficient heterogeneous multi-modal federated learning with hierarchical knowledge disentanglement X Wang, H Wang, F Wu, T Liu, Q Cao, L Su Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems …, 2024 | 1 | 2024 |
| Towards Poisoning Fair Representations T Liu, H Wang, F Wu, H Zhang, P Li, L Su, J Gao ICLR 2024, 2024 | 1 | 2024 |
| Mitigating Heterogeneous Token Overfitting in LLM Knowledge Editing T Liu, Z Dong, L Zhang, H Wang, J Gao arXiv preprint arXiv:2502.00602, 2025 | | 2025 |
| NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models Y Zhong, H Jiang, L Li, R Nakada, T Liu, L Zhang, H Yao, H Wang arXiv preprint arXiv:2410.01870, 2024 | | 2024 |
| Counterfactual Fairness by Combining Factual and Counterfactual Predictions Z Zhou, T Liu, R Bai, J Gao, M Kocaoglu, DI Inouye NeurIPS 2024, 2024 | | 2024 |
| LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models T Liu, H Wang, S Wang, Y Cheng, J Gao ICML 2024, 2024 | | 2024 |
