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Tianming Liang
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2020 – today
- 2024
- [j7]Hao Zhang
, Yang Liu
, Xiaoyan Liu
, Tianming Liang
, Gaurav Sharma, Liang Xue
, Maozu Guo
:
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. IEEE Trans. Knowl. Data Eng. 36(9): 4890-4903 (2024) - [c3]Tianming Liang, Chaolei Tan, Beihao Xia, Wei-Shi Zheng, Jian-Fang Hu:
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels. CVPR 2024: 13161-13170 - [c2]Xiaotong Lin, Tianming Liang, Jianhuang Lai, Jian-Fang Hu:
Progressive Pretext Task Learning for Human Trajectory Prediction. ECCV (30) 2024: 197-214 - [c1]Yaokun Zhong, Tianming Liang, Jian-Fang Hu:
Time-Frequency Mutual Learning for Moment Retrieval and Highlight Detection. PRCV (5) 2024: 34-48 - [i4]Tianming Liang, Chaolei Tan, Beihao Xia, Wei-Shi Zheng, Jian-Fang Hu:
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels. CoRR abs/2403.14430 (2024) - [i3]Xiaotong Lin, Tianming Liang, Jianhuang Lai, Jian-Fang Hu:
Progressive Pretext Task Learning for Human Trajectory Prediction. CoRR abs/2407.11588 (2024) - 2023
- [j6]Tianming Liang
, Yang Liu
, Xiaoyan Liu
, Hao Zhang
, Gaurav Sharma, Maozu Guo
:
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. IEEE Trans. Knowl. Data Eng. 35(7): 6852-6865 (2023) - [i2]Hao Zhang, Yang Liu, Xiaoyan Liu, Tianming Liang, Gaurav Sharma, Liang Xue, Maozu Guo:
Sentence Bag Graph Formulation for Biomedical Distant Supervision Relation Extraction. CoRR abs/2310.18912 (2023) - 2021
- [i1]Tianming Liang, Yang Liu, Xiaoyan Liu, Gaurav Sharma, Maozu Guo:
Distantly-Supervised Long-Tailed Relation Extraction Using Constraint Graphs. CoRR abs/2105.11225 (2021) - 2020
- [j5]Xinzheng Xu
, Shan Li, Tianming Liang, Tongfeng Sun:
Sample selection-based hierarchical extreme learning machine. Neurocomputing 377: 95-102 (2020)
2010 – 2019
- 2019
- [j4]Xinzheng Xu
, Tianming Liang, Jiong Zhu, Dong Zheng, Tongfeng Sun:
Review of classical dimensionality reduction and sample selection methods for large-scale data processing. Neurocomputing 328: 5-15 (2019) - 2018
- [j3]Dong Shan, Xinzheng Xu, Tianming Liang, Shifei Ding:
Rank-Adaptive Non-Negative Matrix Factorization. Cogn. Comput. 10(3): 506-515 (2018) - 2017
- [j2]Xinzheng Xu, Tianming Liang, Guanying Wang, Maxin Wang, Xuesong Wang
:
Self-Adaptive PCNN Based on the ACO Algorithm and its Application on Medical Image Segmentation. Intell. Autom. Soft Comput. 23(2): 303-310 (2017) - [j1]Tianming Liang, Xinzheng Xu, Pengcheng Xiao
:
A new image classification method based on modified condensed nearest neighbor and convolutional neural networks. Pattern Recognit. Lett. 94: 105-111 (2017)
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