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Ye Tian
Ye Tian
Tencent AI Lab
Verified email at tencent.com
Title
Cited by
Cited by
Year
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
602018
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
192021
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
102023
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
92022
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
52023
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
12024
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
12020
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
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
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
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
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
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Articles 1–14