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ORCIDGe Shi 0002
Person information
- affiliation: Beijing Institute of Technology, School of Computer, China
- affiliation (PhD 2020): Beijing University of Technology, Faculty of Information Technology, China
Other persons with the same name
- Ge Shi (aka: Shi Ge) — disambiguation page
- Ge Shi 0001
![[0000-0002-6175-4792]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6175-4792")
(aka: Shi Ge 0001) — Ningbo University, Faculty of Information Science and Engineering, China (and 1 more) - Ge Shi 0003 — Peking University, School of Electrical Engineering and Computer Science, Beijing, China
- Ge Shi 0004 — Northwestern Polytechnical University, School of Electronics and Information, Xi'an, Shaanxi, China
- Ge Shi 0005 — University College London, Department of Mechanical Engineering, UK
- Ge Shi 0006 (aka: Shi Ge 0006) — Henan University of Science and Technology, Electronic and Information Engineering College, Luoyang, China
- Ge Shi 0007 — University of California, Davis, CA, USA
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Journal Articles
- 2024
[j15]Shuanghong Huang, Chong Feng, Ge Shi, Zhengjun Li, Xuan Zhao, Xinyan Li, Xiaomei Wang:
Learning Domain Specific Sub-layer Latent Variable for Multi-Domain Adaptation Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(6): 78 (2024)- [j14]Ge Shi, Sinuo Deng, Bo Wang, Chong Feng, Yan Zhuang, Xiaomei Wang:
One for All: A Unified Generative Framework for Image Emotion Classification. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7057-7068 (2024) - [j13]Meng Jian, Yulong Bai, Xusong Fu, Jingjing Guo, Ge Shi, Lifang Wu:
Counterfactual Graph Convolutional Learning for Personalized Recommendation. ACM Trans. Intell. Syst. Technol. 15(4): 67:1-67:20 (2024) - [j12]Lifang Wu, Meng Tian, Ye Xiang, Ke Gu, Ge Shi:
Learning Label Semantics for Weakly Supervised Group Activity Recognition. IEEE Trans. Multim. 26: 6386-6397 (2024) - 2023
- [j11]Meng Jian, Jingjing Guo, Ge Shi, Lifang Wu, Zhangquan Wang:
Multimodal collaborative graph for image recommendation. Appl. Intell. 53(1): 560-573 (2023) - [j10]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang:
Simple But Powerful, a Language-Supervised Method for Image Emotion Classification. IEEE Trans. Affect. Comput. 14(4): 3317-3331 (2023) - [j9]Heyan Huang, Xiao Liu, Ge Shi, Qian Liu:
Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval. IEEE Trans. Knowl. Data Eng. 35(10): 9946-9958 (2023) - 2022
- [j8]Meng Jian, Chenlin Zhang, Meishan Liu, Xin Fu, Siqi Li, Ge Shi, Lifang Wu:
Siamese Graph-Based Dynamic Matching for Collaborative Filtering. Inf. Sci. 611: 185-198 (2022) - [j7]Ge Shi, Feng Li, Lifang Wu, Yukun Chen:
Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval. Sensors 22(8): 2921 (2022) - 2021
- [j6]Changsen Yuan, Heyan Huang, Chong Feng, Ge Shi, Xiaochi Wei:
Document-level relation extraction with Entity-Selection Attention. Inf. Sci. 568: 163-174 (2021) - 2020
- [j5]Yashen Wang, Huanhuan Zhang, Ge Shi, Zhirun Liu, Qiang Zhou:
A Model of Text-Enhanced Knowledge Graph Representation Learning With Mutual Attention. IEEE Access 8: 52895-52905 (2020) - [j4]Ge Shi, Chong Feng, Wenfu Xu, Lejian Liao, Heyan Huang:
Penalized multiple distribution selection method for imbalanced data classification. Knowl. Based Syst. 196: 105833 (2020) - 2018
- [j3]Arshad Ahmad, Kan Li, Chong Feng, Syed Mohammad Asim, Abdallah Yousif, Shi Ge:
An Empirical Study of Investigating Mobile Applications Development Challenges. IEEE Access 6: 17711-17728 (2018) - [j2]Jun Ma, Chong Feng, Ge Shi, Xuewen Shi, Heyang Huang:
Temporal enhanced sentence-level attention model for hashtag recommendation. CAAI Trans. Intell. Technol. 3(2): 95-100 (2018) - [j1]Arshad Ahmad, Chong Feng, Ge Shi, Abdallah Yousif:
A survey on mining stack overflow: question and answering (Q&A) community. Data Technol. Appl. 52(2): 190-247 (2018)
Conference and Workshop Papers
- 2024
- [c19]Hongzheng Li, Ruojin Wang, Ge Shi, Xing Lv, Lei Lei, Chong Feng, Fang Liu, Jinkun Lin, Yangguang Mei, Lingnan Xu:
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts. LREC/COLING 2024: 13503-13513 - 2023
- [c18]Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin:
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. ACL (Findings) 2023: 11267-11281 - [c17]Lifang Wu, Lehao Xing, Ge Shi, Sinuo Deng, Jie Yang:
SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis. ICIG (1) 2023: 93-105 - [c16]Meishan Liu, Meng Jian, Ge Shi, Ye Xiang, Lifang Wu:
Graph Contrastive Learning on Complementary Embedding for Recommendation. ICMR 2023: 576-580 - 2022
- [c15]Xiao Liu, Heyan Huang, Ge Shi, Bo Wang:
Dynamic Prefix-Tuning for Generative Template-based Event Extraction. ACL (1) 2022: 5216-5228 - [c14]Sinuo Deng, Ge Shi, Lifang Wu, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang:
SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification. DASFAA (3) 2022: 222-229 - [c13]Wenjin Hu, Yukun Chen, Lifang Wu, Ge Shi, Meng Jian, Sinuo Deng:
Boundary-Guided Probability Hashing. ICME 2022: 1-6 - [c12]Bo Wang, Yi-Fan Lu, Xiaochi Wei, Xiao Liu, Ge Shi, Changsen Yuan, Heyan Huang, Chong Feng, Xianling Mao:
BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network. NLPCC (2) 2022: 192-203 - [c11]Tuo Wang, Meng Jian, Ge Shi, Xin Fu, Lifang Wu:
Multi-intent Compatible Transformer Network for Recommendation. PRCV (1) 2022: 344-355 - [c10]Lidong Zhao, Zening Men, Lifang Wu, Zhi Zhao, Yan Zhang, Ge Shi:
Simulation of resin filling distance during the pulling-up stage for rapid DLP printing. VRCAI 2022: 28:1-28:4 - 2021
- [c9]Lifang Wu, Heng Zhang, Ge Shi, Sinuo Deng:
Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis. ACPR (1) 2021: 501-512 - [c8]Sinuo Deng, Lifang Wu, Ge Shi, Heng Zhang, Wenjin Hu, Ruihai Dong:
Emotion Class-Wise Aware Loss for Image Emotion Classification. CICAI 2021: 553-564 - [c7]Lifang Wu, Tianqin Yang, Yupeng Guan, Ge Shi, Ye Xiang, Yisong Gao:
Semantic Guided Multi-directional Mixed-Color 3D Printing. ICIG (3) 2021: 106-117 - [c6]Lifang Wu, Yukun Chen, Wenjin Hu, Ge Shi:
Exponential Hashing with Different Penalty for Hamming Space Retrieval. ICIG (1) 2021: 772-784 - [c5]Xiao Liu, Ge Shi, Bo Wang, Changsen Yuan, Heyan Huang, Chong Feng, Lifang Wu:
BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training. NLPCC (2) 2021: 400-411 - [c4]Ran Yang, Meng Jian, Ge Shi, Lifang Wu, Ye Xiang:
Attribute-Level Interest Matching Network for Personalized Recommendation. PRCV (2) 2021: 486-497 - 2020
- [c3]Yashen Wang, Ge Shi, Xi Zhang:
Information Exchange in Public-Culture Service Domain Bason on CIEM. ACM TUR-C 2020: 45-49 - 2018
- [c2]Ge Shi, Chong Feng, Lifu Huang, Boliang Zhang, Heng Ji, Lejian Liao, Heyan Huang:
Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. EMNLP 2018: 1018-1023 - 2017
- [c1]Jing Gong, Chong Feng, Yong Liu, Ge Shi, Heyan Huang:
Collective Entity Linking on Relational Graph Model with Mentions. CCL 2017: 159-171
Informal and Other Publications
- 2024
- [i7]Zeyu Xi, Ge Shi, Lifang Wu, Xuefen Li, Junchi Yan, Liang Wang, Zilin Liu:
Knowledge Graph Supported Benchmark and Video Captioning for Basketball. CoRR abs/2401.13888 (2024) - [i6]Hongzheng Li, Ruojin Wang, Ge Shi, Xing Lv, Lei Lei, Chong Feng, Fang Liu, Jinkun Lin, Yangguang Mei, Lingnan Xu:
RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts. CoRR abs/2403.15872 (2024) - 2023
- [i5]Xianglong Lang, Zhuming Wang, Zun Li, Meng Tian, Ge Shi, Lifang Wu, Liang Wang:
Knowledge Augmented Relation Inference for Group Activity Recognition. CoRR abs/2302.14350 (2023) - [i4]Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin:
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. CoRR abs/2305.09598 (2023) - 2022
- [i3]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian:
Learning to Compose Diversified Prompts for Image Emotion Classification. CoRR abs/2201.10963 (2022) - [i2]Xiao Liu, Heyan Huang, Ge Shi, Bo Wang:
Dynamic Prefix-Tuning for Generative Template-based Event Extraction. CoRR abs/2205.06166 (2022) - 2018
- [i1]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:
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC 2018
Coauthor Index
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