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Ge 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
(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
Other persons with a similar name
- Ke-shi Ge (aka: Keshi Ge)
- Shi-Li Ge
- Shi-rong Ge
- Shilun Ge (aka: Shi-Lun Ge) — disambiguation page
- Ge-Shi Tang
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2020 – today
- 2025
- [j17]Zeyu Xi, Ge Shi, Haoying Sun, Bowen Zhang, Shuyi Li, Lifang Wu:
EIKA: Explicit & Implicit Knowledge-Augmented Network for entity-aware sports video captioning. Expert Syst. Appl. 274: 126906 (2025) - [c21]Xuefen Li, Bo Wang, Ge Shi, Chong Feng, Jiahao Teng:
Mitigating the Discrepancy Between Video and Text Temporal Sequences: A Time-Perception Enhanced Video Grounding method for LLM. COLING 2025: 9804-9813 - 2024
- [j16]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong:
Learning to compose diversified prompts for image emotion classification. Comput. Vis. Media 10(6): 1169-1183 (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) - [c20]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 - [c19]Lehao Xing, Ge Shi, Guang Yang, Lifang Wu:
Specific Sentiment Mask Auto-Encoder Model (S2MA) for Image Sentiment Classification. IJCNN 2024: 1-8 - [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
- [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) - [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 - [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
- [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) - [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 - [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) - 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) - [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
- [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) - [c3]Yashen Wang, Ge Shi, Xi Zhang:
Information Exchange in Public-Culture Service Domain Bason on CIEM. ACM TUR-C 2020: 45-49
2010 – 2019
- 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) - [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 - [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 - 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
Coauthor Index

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last updated on 2025-03-26 23:59 CET by the dblp team
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