Ge Shi

According to our database, Ge Shi authored at least 40 papers between 2017 and 2024.

Collaborative distances:

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

2024

Learning to compose diversified prompts for image emotion classification.

Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong

Comput. Vis. Media, December, 2024

Counterfactual Graph Convolutional Learning for Personalized Recommendation.

Meng Jian, Yulong Bai, Xusong Fu, Jingjing Guo, Ge Shi, Lifang Wu

ACM Trans. Intell. Syst. Technol., August, 2024

One for All: A Unified Generative Framework for Image Emotion Classification.

Ge Shi, Sinuo Deng, Bo Wang, Chong Feng, Yan Zhuang, Xiaomei Wang

IEEE Trans. Circuits Syst. Video Technol., August, 2024

Learning Domain Specific Sub-layer Latent Variable for Multi-Domain Adaptation Neural Machine Translation.

Shuanghong Huang, Chong Feng, Ge Shi, Zhengjun Li, Xuan Zhao, Xinyan Li, Xiaomei Wang

ACM Trans. Asian Low Resour. Lang. Inf. Process., June, 2024

Learning Label Semantics for Weakly Supervised Group Activity Recognition.

Lifang Wu, Meng Tian, Ye Xiang, Ke Gu, Ge Shi

IEEE Trans. Multim., 2024

Knowledge Graph Supported Benchmark and Video Captioning for Basketball.

Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu

CoRR, 2024

Specific Sentiment Mask Auto-Encoder Model (S2MA) for Image Sentiment Classification.

Lehao Xing, Ge Shi, Guang Yang, Lifang Wu

Proceedings of the International Joint Conference on Neural Networks, 2024

RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts.

Hongzheng Li, Ruojin Wang, Ge Shi, Xing Lv, Lei Lei, Chong Feng, Fang Liu, Jinkun Lin, Yangguang Mei, Lingnan Xu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval.

Heyan Huang, Xiao Liu, Ge Shi, Qian Liu

IEEE Trans. Knowl. Data Eng., October, 2023

Simple But Powerful, a Language-Supervised Method for Image Emotion Classification.

Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang

IEEE Trans. Affect. Comput., 2023

Knowledge Augmented Relation Inference for Group Activity Recognition.

Xianglong Lang, Zhuming Wang, Zun Li, Meng Tian, Ge Shi, Lifang Wu, Liang Wang

CoRR, 2023

Multimodal collaborative graph for image recommendation.

Meng Jian, Jingjing Guo, Ge Shi, Lifang Wu, Zhangquan Wang

Appl. Intell., 2023

Graph Contrastive Learning on Complementary Embedding for Recommendation.

Meishan Liu, Meng Jian, Ge Shi, Ye Xiang, Lifang Wu

Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis.

Lifang Wu, Lehao Xing, Ge Shi, Sinuo Deng, Jie Yang

Proceedings of the Image and Graphics - 12th International Conference, 2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation.

Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval.

Ge Shi, Feng Li, Lifang Wu, Yukun Chen

Sensors, 2022

Siamese Graph-Based Dynamic Matching for Collaborative Filtering.

Meng Jian, Chenlin Zhang, Meishan Liu, Xin Fu, Siqi Li, Ge Shi, Lifang Wu

Inf. Sci., 2022

Learning to Compose Diversified Prompts for Image Emotion Classification.

Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian

CoRR, 2022

Simulation of resin filling distance during the pulling-up stage for rapid DLP printing.

Lidong Zhao, Zening Men, Lifang Wu, Zhi Zhao, Yan Zhang, Ge Shi

Proceedings of the 18th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry, 2022

Multi-intent Compatible Transformer Network for Recommendation.

Tuo Wang, Meng Jian, Ge Shi, Xin Fu, Lifang Wu

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network.

Bo Wang, Yi-Fan Lu, Xiaochi Wei, Xiao Liu, Ge Shi, Changsen Yuan, Heyan Huang, Chong Feng, Xianling Mao

Proceedings of the Natural Language Processing and Chinese Computing, 2022

Boundary-Guided Probability Hashing.

Wenjin Hu, Yukun Chen, Lifang Wu, Ge Shi, Meng Jian, Sinuo Deng

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification.

Sinuo Deng, Ge Shi, Lifang Wu, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang

Proceedings of the Database Systems for Advanced Applications, 2022

Dynamic Prefix-Tuning for Generative Template-based Event Extraction.

Xiao Liu, Heyan Huang, Ge Shi, Bo Wang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Document-level relation extraction with Entity-Selection Attention.

Changsen Yuan, Heyan Huang, Chong Feng, Ge Shi, Xiaochi Wei

Inf. Sci., 2021

Attribute-Level Interest Matching Network for Personalized Recommendation.

Ran Yang, Meng Jian, Ge Shi, Lifang Wu, Ye Xiang

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training.

Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu

Proceedings of the Natural Language Processing and Chinese Computing, 2021

Semantic Guided Multi-directional Mixed-Color 3D Printing.

Lifang Wu, Tianqin Yang, Yupeng Guan, Ge Shi, Ye Xiang, Yisong Gao

Proceedings of the Image and Graphics - 11th International Conference, 2021

Exponential Hashing with Different Penalty for Hamming Space Retrieval.

Lifang Wu, Yukun Chen, Wenjin Hu, Ge Shi

Proceedings of the Image and Graphics - 11th International Conference, 2021

Emotion Class-Wise Aware Loss for Image Emotion Classification.

Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis.

Lifang Wu, Heng Zhang, Ge Shi, Sinuo Deng

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

2020

Penalized multiple distribution selection method for imbalanced data classification.

Ge Shi, Chong Feng, Wenfu Xu, Lejian Liao, Heyan Huang

Knowl. Based Syst., 2020

A Model of Text-Enhanced Knowledge Graph Representation Learning With Mutual Attention.

Yashen Wang, Huanhuan Zhang, Ge Shi, Zhirun Liu, Qiang Zhou

IEEE Access, 2020

Information Exchange in Public-Culture Service Domain Bason on CIEM.

Yashen Wang, Ge Shi, Xi Zhang

Proceedings of the ACM TUR-C'20: ACM Turing Celebration Conference, 2020

2018

A survey on mining stack overflow: question and answering (Q&A) community.

Arshad Ahmad, Chong Feng, Ge Shi, Abdallah Yousif

Data Technol. Appl., 2018

Temporal enhanced sentence-level attention model for hashtag recommendation.

Jun Ma, Chong Feng, Ge Shi, Xuewen Shi, Heyang Huang

CAAI Trans. Intell. Technol., 2018

An Empirical Study of Investigating Mobile Applications Development Challenges.

Arshad Ahmad, Kan Li, Chong Feng, Syed Mohammad Asim, Abdallah Yousif, Shi Ge

IEEE Access, 2018

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System.

Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang

Proceedings of the 2018 Text Analysis Conference, 2018

Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction.

Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Collective Entity Linking on Relational Graph Model with Mentions.

Jing Gong, Chong Feng, Yong Liu, Ge Shi, Heyan Huang

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017