| S3d: Stacking segmental p3d for action quality assessment X Xiang, Y Tian, A Reiter, GD Hager, TD Tran 2018 25th IEEE international conference on image processing (ICIP), 928-932, 2018 | 61 | 2018 |
| Temporal self-ensembling teacher for semi-supervised object detection C Chen, S Dong, Y Tian, K Cao, L Liu, Y Guo IEEE Transactions on Multimedia 24, 3679-3692, 2021 | 21 | 2021 |
| Quality-Similar Diversity via Population Based Reinforcement Learning S Wu, J Yao, H Fu, Y Tian, C Qian, Y Yang, Q FU, Y Wei The Eleventh International Conference on Learning Representations, 2023 | 12 | 2023 |
| Stabilizing RLHF through advantage model and selective rehearsal B Peng, L Song, Y Tian, L Jin, H Mi, D Yu arXiv preprint arXiv:2309.10202, 2023 | 9 | 2023 |
| Greedy when sure and conservative when uncertain about the opponents H Fu, Y Tian, H Yu, W Liu, S Wu, J Xiong, Y Wen, K Li, J Xing, Q Fu, ... International Conference on Machine Learning, 6829-6848, 2022 | 9 | 2022 |
| Self-alignment for factuality: Mitigating hallucinations in llms via self-evaluation X Zhang, B Peng, Y Tian, J Zhou, L Jin, L Song, H Mi, H Meng arXiv preprint arXiv:2402.09267, 2024 | 3 | 2024 |
| Resisting large data variations via introspective transformation network Y Zhao, Y Tian, C Fowlkes, W Shen, A Yuille Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 2 | 2020 |
| Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing Y Tian, B Peng, L Song, L Jin, D Yu, H Mi, D Yu arXiv preprint arXiv:2404.12253, 2024 | 1 | 2024 |
| Self-Consistency Boosts Calibration for Math Reasoning A Wang, L Song, Y Tian, B Peng, L Jin, H Mi, J Su, D Yu arXiv preprint arXiv:2403.09849, 2024 | 1 | 2024 |
| Collaborative decoding of critical tokens for boosting factuality of large language models L Jin, B Peng, L Song, H Mi, Y Tian, D Yu arXiv preprint arXiv:2402.17982, 2024 | 1 | 2024 |
| Fine-Grained Self-Endorsement Improves Factuality and Reasoning A Wang, L Song, B Peng, Y Tian, L Jin, H Mi, J Su, D Yu arXiv preprint arXiv:2402.15631, 2024 | 1 | 2024 |
| Iterative Nash Policy Optimization: Aligning LLMs with General Preferences via No-Regret Learning Y Zhang, D Yu, B Peng, L Song, Y Tian, M Huo, N Jiang, H Mi, D Yu arXiv preprint arXiv:2407.00617, 2024 | | 2024 |
| LiteSearch: Efficacious Tree Search for LLM A Wang, L Song, Y Tian, B Peng, D Yu, H Mi, J Su, D Yu arXiv preprint arXiv:2407.00320, 2024 | | 2024 |
| Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching X Zhang, B Peng, Y Tian, J Zhou, Y Zhang, H Mi, H Meng arXiv preprint arXiv:2406.06326, 2024 | | 2024 |
| Screening for scoliosis using computer vision and machine learning allows high throughput screening: a proof of concept study T Ye, Y Fan, MKT To, JPY Cheung, KMC Cheung eSOSORT (Society on Scoliosis Orthopaedic and Rehabilitation Treatment) 2021 …, 2021 | | 2021 |
| Spatial Transformer Introspective Neural Network. Y Zhao, Y Tian, W Shen23, A Yuille arXiv preprint arXiv:1805.06447, 2018 | | 2018 |
| Assessing Pain Levels from Videos Using Temporal Convolutional Networks TDT Xiang Xiang, Ye Tian, Gregory D Hager IEEE Winter Conference on Applications of Computer Vision (WACV) 2018 …, 2018 | | 2018 |
