Huaishao Luo

According to our database, Huaishao Luo authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation.

Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li

Proceedings of the International Conference on Machine Learning, 2023

2022

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning.

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

Neurocomputing, 2022

CSS: Combining Self-training and Self-supervised Learning for Few-shot Dialogue State Tracking.

Haoning Zhang, Junwei Bao, Haipeng Sun, Huaishao Luo, Wenye Li, Shuguang Cui

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

2021

Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis.

Lisha Chen, Tianrui Li, Huaishao Luo, Chengfeng Yin

Hum. Centric Intell. Syst., 2021

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

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

CoRR, 2021

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

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

CoRR, 2021

Control Image Captioning Spatially and Temporally.

Kun Yan, Lei Ji, Huaishao Luo, Ming Zhou, Nan Duan, Shuai Ma

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Hashing based Efficient Inference for Image-Text Matching.

Rong-Cheng Tu, Lei Ji, Huaishao Luo, Botian Shi, Heyan Huang, Nan Duan, Xian-Ling Mao

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

GEM: A General Evaluation Benchmark for Multimodal Tasks.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

ReAD: A Regional Anomaly Detection Framework Based on Dynamic Partition.

Huaishao Luo, Chuishi Meng, Bowen Wu, Junbo Zhang, Tianrui Li, Yu Zheng

CoRR, 2020

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

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

CoRR, 2020

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

Huaishao Luo, Yu Shi, Ming Gong, Linjun Shou, Tianrui Li

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

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

Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Improving Aspect Term Extraction With Bidirectional Dependency Tree Representation.

Huaishao Luo, Tianrui Li, Bing Liu, Bin Wang, Herwig Unger

IEEE ACM Trans. Audio Speech Lang. Process., 2019

Deep Uncertainty Quantification: A Machine Learning Approach for Weather Forecasting.

Bin Wang, Jie Lu, Zheng Yan, Huaishao Luo, Tianrui Li, Yu Zheng, Guangquan Zhang

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

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

Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Deep Uncertainty Learning: A Machine Learning Approach for Weather Forecasting.

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

CoRR, 2018

2017

Diverse activation functions in deep learning.

Bin Wang, Tianrui Li, Yanyong Huang, Huaishao Luo, Dongming Guo, Shi-Jinn Horng

Proceedings of the 12th International Conference on Intelligent Systems and Knowledge Engineering, 2017