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ScaleVLAD: Improving Multimodal Sentiment Analysis via Multi-Scale Fusion of Locally Descriptors


Dec 02, 2021
Huaishao Luo, Lei Ji, Yanyong Huang, Bin Wang, Shenggong Ji, Tianrui Li


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GEM: A General Evaluation Benchmark for Multimodal Tasks


Jun 18, 2021
Lin Su, Nan Duan, Edward Cui, Lei Ji, Chenfei Wu, Huaishao Luo, Yongfei Liu, Ming Zhong, Taroon Bharti, Arun Sacheti

* Accepted by Findings of ACL 2021 

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CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval


May 08, 2021
Huaishao Luo, Lei Ji, Ming Zhong, Yang Chen, Wen Lei, Nan Duan, Tianrui Li


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MaP: A Matrix-based Prediction Approach to Improve Span Extraction in Machine Reading Comprehension


Sep 29, 2020
Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li

* to appear at AACL-IJCNLP 2020 

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GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis


Sep 25, 2020
Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang

* to appear in Findings of EMNLP 2020 

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UniViLM: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation


Feb 15, 2020
Huaishao Luo, Lei Ji, Botian Shi, Haoyang Huang, Nan Duan, Tianrui Li, Xilin Chen, Ming Zhou


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DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction


Jun 05, 2019
Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang

* Accepted to ACL 2019 

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Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting


Dec 27, 2018
Bin Wang, Zheng Yan, Huaishao Luo, Tianrui Li, Jie Lu, Guangquan Zhang


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Improving Aspect Term Extraction with Bidirectional Dependency Tree Representation


May 21, 2018
Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger


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