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Shasha Mo
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2020 – today
- 2024
- [i1]Haoran Lian, Yizhe Xiong, Jianwei Niu, Shasha Mo, Zhenpeng Su, Zijia Lin, Peng Liu, Hui Chen, Guiguang Ding:
Scaffold-BPE: Enhancing Byte Pair Encoding with Simple and Effective Scaffold Token Removal. CoRR abs/2404.17808 (2024) - 2023
- [c16]Meng Lyu, Shasha Mo:
HSRG-WSD: A Novel Unsupervised Chinese Word Sense Disambiguation Method Based on Heterogeneous Sememe-Relation Graph. ICIC (4) 2023: 623-633 - [c15]Zhen Cheng, Jianwei Niu, Shasha Mo, Jia Chen:
GenBoost: Generative Modeling and Boosted Learning for Multi-hop Question Answering over Incomplete Knowledge Graphs. ICPADS 2023: 1131-1138 - [c14]Zhihao Fan, Huiyong Li, Shasha Mo, Jianwei Niu:
Topic-Aware Modeling for Unsupervised Extractive Summarization. IJCNN 2023: 1-8 - 2022
- [c13]Feng Jiang, Jianwei Niu, Shasha Mo, Shengda Fan:
Key Mention Pairs Guided Document-Level Relation Extraction. COLING 2022: 1904-1914 - [c12]Ruri Liu, Shasha Mo, Jianwei Niu, Shengda Fan:
CETA: A Consensus Enhanced Training Approach for Denoising in Distantly Supervised Relation Extraction. COLING 2022: 2247-2258 - [c11]Shengda Fan, Shasha Mo, Jianwei Niu:
Boosting Document-Level Relation Extraction by Mining and Injecting Logical Rules. EMNLP 2022: 10311-10323 - 2021
- [c10]Yuntao Qu, Shasha Mo, Jianwei Niu:
DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions. CVPR 2021: 6821-6829 - [c9]Anlin Qu, Jianwei Niu, Shasha Mo:
Explore Better Relative Position Embeddings from Encoding Perspective for Transformer Models. EMNLP (1) 2021: 2989-2997 - [c8]Anlin Qu, Jianwei Niu, Shasha Mo:
Enhancing Transformer with Horizontal and Vertical Guiding Mechanisms for Neural Language Modeling. ICC 2021: 1-6
2010 – 2019
- 2019
- [j5]Shasha Mo, Jianwei Niu
:
A Novel Method Based on OMPGW Method for Feature Extraction in Automatic Music Mood Classification. IEEE Trans. Affect. Comput. 10(3): 313-324 (2019) - 2018
- [j4]Shasha Mo, Jianwei Niu
, Yiming Su, Sajal K. Das:
A novel feature set for video emotion recognition. Neurocomputing 291: 11-20 (2018) - [j3]Shasha Mo, Jianwei Niu
, Yanfei Wang:
A Novel Approach Based on the Instrumental Variable Method With Application to Airborne Synthetic Aperture Radar Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(9): 3144-3154 (2018) - [c7]Jianwei Niu, Yanyan Guo, Shasha Mo:
A Novel Method of Articles Rating Based on Concerns Tracking and Matching for Public Opinion Recommendation. ICC 2018: 1-6 - [c6]Jianwei Niu, Shijie Li, Shasha Mo, Yanyan Guo, Lei Wang:
Affective Analysis for Video Frames Using ConvLSTM Network. ICC 2018: 1-6 - [c5]Jianwei Niu, Zheng Li, Shasha Mo, Boyu Fan:
CIGAN: A Novel GANs Model Based on Category Information. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 522-529 - [c4]Jianwei Niu, Shijie Li, Shasha Mo, Sen Yang, Boyu Fan:
Affective Content Analysis of Online Video Clips with Live Comments in Chinese. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 849-856 - 2017
- [c3]Jianwei Niu, Mingsheng Sun, Shasha Mo:
Sentiment Analysis of Chinese Words Using Word Embedding and Sentiment Morpheme Matching. CollaborateCom 2017: 3-12 - [c2]Jianwei Niu, Shijie Li, Shasha Mo, Jun Ma:
LWTP: An Improved Automatic Image Annotation Method Based on Image Segmentation. CollaborateCom 2017: 53-62 - [c1]Jianwei Niu, Yiming Su, Shasha Mo, Zeyu Zhu:
A Novel Affective Visualization System for Videos Based on Acoustic and Visual Features. MMM (2) 2017: 15-27 - 2015
- [j2]Shasha Mo, Yanfei Wang, Chang Liu, Xin Wu:
A motion compensation method for airborne SAR imagery. IEICE Electron. Express 12(12): 20150143 (2015) - [j1]Shasha Mo, Yanfei Wang, Chang Liu:
An Estimation Algorithm for Phase Errors in Synthetic Aperture Radar Imagery. IEEE Geosci. Remote. Sens. Lett. 12(9): 1818-1822 (2015)
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last updated on 2024-07-26 18:41 CEST by the dblp team
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