Collective Entity Linking on Relational Graph Model with Mentions. - Jing Gong; Chong Feng 001; Yong Liu; Ge Shi 002; Heyan Huang (CCL, 2017)

Genre Separation Network with Adversarial Training for Cross-genre Relation Extraction. - Ge Shi 002; Chong Feng 001; Lifu Huang; Boliang Zhang; Heng Ji 001; Lejian Liao; Heyan Huang (EMNLP, 2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Tongtao Zhang; Ananya Subburathinam; Ge Shi 002; Lifu Huang; Di Lu 003; Xiaoman Pan; Manling Li; Boliang Zhang; Qingyun Wang 005; Spencer Whitehead; Heng Ji 001; Alireza Zareian; et al. (TAC, 2018)

An Empirical Study of Investigating Mobile Applications Development Challenges. - Arshad Ahmad 002; Kan Li; Chong Feng 001; Syed Mohammad Asim; Abdallah Yousif; Shi Ge 002 (IEEE Access, 2018)

Temporal enhanced sentence-level attention model for hashtag recommendation. - Jun Ma; Chong Feng 001; Ge Shi 002; Xuewen Shi 001; Heyang Huang (CAAI Trans. Intell. Technol., 2018)

A survey on mining stack overflow: question and answering (Q&A) community. - Arshad Ahmad 002; Chong Feng 001; Ge Shi 002; Abdallah Yousif (Data Technol. Appl., 2018)

Information Exchange in Public-Culture Service Domain Bason on CIEM. - Yashen Wang; Ge Shi 002; Xi Zhang 008 (ACM TUR-C, 2020)

A Model of Text-Enhanced Knowledge Graph Representation Learning With Mutual Attention. - Yashen Wang; Huanhuan Zhang; Ge Shi 002; Zhirun Liu; Qiang Zhou (IEEE Access, 2020)

Penalized multiple distribution selection method for imbalanced data classification. - Ge Shi 002; Chong Feng 001; Wenfu Xu; Lejian Liao; Heyan Huang (Knowl. Based Syst., 2020)

Weakly Supervised Interaction Discovery Network for Image Sentiment Analysis. - Lifang Wu; Heng Zhang; Ge Shi 002; Sinuo Deng (ACPR (1), 2021)

Emotion Class-Wise Aware Loss for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Heng Zhang; Wenjin Hu 002; Ruihai Dong (CICAI, 2021)

Exponential Hashing with Different Penalty for Hamming Space Retrieval. - Lifang Wu; Yukun Chen; Wenjin Hu 002; Ge Shi 002 (ICIG (1), 2021)

Semantic Guided Multi-directional Mixed-Color 3D Printing. - Lifang Wu; Tianqin Yang; Yupeng Guan; Ge Shi 002; Ye Xiang; Yisong Gao (ICIG (3), 2021)

BIT-Event at NLPCC-2021 Task 3: Subevent Identification via Adversarial Training. - Xiao Liu 029; Ge Shi 002; Bo Wang 134; Changsen Yuan; Heyan Huang; Chong Feng 001; Lifang Wu (NLPCC (2), 2021)

Attribute-Level Interest Matching Network for Personalized Recommendation. - Ran Yang; Meng Jian; Ge Shi 002; Lifang Wu; Ye Xiang (PRCV (2), 2021)

Document-level relation extraction with Entity-Selection Attention. - Changsen Yuan; Heyan Huang; Chong Feng 001; Ge Shi 002; Xiaochi Wei (Inf. Sci., 2021)

Dynamic Prefix-Tuning for Generative Template-based Event Extraction. - Xiao Liu 029; Heyan Huang; Ge Shi 002; Bo Wang 134 (ACL (1), 2022)

SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification. - Sinuo Deng; Ge Shi 002; Lifang Wu; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (DASFAA (3), 2022)

Boundary-Guided Probability Hashing. - Wenjin Hu 002; Yukun Chen; Lifang Wu; Ge Shi 002; Meng Jian; Sinuo Deng (ICME, 2022)

BIT-WOW at NLPCC-2022 Task5 Track1: Hierarchical Multi-label Classification via Label-Aware Graph Convolutional Network. - Bo Wang 134; Yi-Fan Lu; Xiaochi Wei; Xiao Liu 029; Ge Shi 002; Changsen Yuan; Heyan Huang; Chong Feng 001; Xianling Mao (NLPCC (2), 2022)

Multi-intent Compatible Transformer Network for Recommendation. - Tuo Wang 001; Meng Jian; Ge Shi 002; Xin Fu; Lifang Wu (PRCV (1), 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 002 (VRCAI, 2022)

Learning to Compose Diversified Prompts for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian (CoRR, 2022)

Siamese Graph-Based Dynamic Matching for Collaborative Filtering. - Meng Jian; Chenlin Zhang; Meishan Liu; Xin Fu; Siqi Li; Ge Shi 002; Lifang Wu (Inf. Sci., 2022)

Object-Level Visual-Text Correlation Graph Hashing for Unsupervised Cross-Modal Retrieval. - Ge Shi 002; Feng Li; Lifang Wu; Yukun Chen (Sensors, 2022)

Boosting Event Extraction with Denoised Structure-to-Text Augmentation. - Bo Wang 134; Heyan Huang; Xiaochi Wei; Ge Shi 002; Xiao Liu 029; Chong Feng 001; Tong Zhou; Shuaiqiang Wang; Dawei Yin (ACL (Findings), 2023)

SECT: Sentiment-Enriched Continual Training for Image Sentiment Analysis. - Lifang Wu; Lehao Xing; Ge Shi 002; Sinuo Deng; Jie Yang (ICIG (1), 2023)

Graph Contrastive Learning on Complementary Embedding for Recommendation. - Meishan Liu; Meng Jian; Ge Shi 002; Ye Xiang; Lifang Wu (ICMR, 2023)

Multimodal collaborative graph for image recommendation. - Meng Jian; Jingjing Guo; Ge Shi 002; Lifang Wu; Zhangquan Wang (Appl. Intell., 2023)

Knowledge Augmented Relation Inference for Group Activity Recognition. - Xianglong Lang; Zhuming Wang; Zun Li 001; Meng Tian; Ge Shi 002; Lifang Wu; Liang Wang 001 (CoRR, 2023)

Simple But Powerful, a Language-Supervised Method for Image Emotion Classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Wenjin Hu 002; Heng Zhang; Ye Xiang (IEEE Trans. Affect. Comput., 2023)

Event Extraction With Dynamic Prefix Tuning and Relevance Retrieval. - Heyan Huang; Xiao Liu 029; Ge Shi 002; Qian Liu 012 (IEEE Trans. Knowl. Data Eng., 2023)

RAAMove: A Corpus for Analyzing Moves in Research Article Abstracts. - Hongzheng Li; Ruojin Wang; Ge Shi 002; Xing Lv; Lei Lei; Chong Feng 001; Fang Liu; Jinkun Lin; Yangguang Mei; Lingnan Xu (LREC/COLING, 2024)

Specific Sentiment Mask Auto-Encoder Model (S2MA) for Image Sentiment Classification. - Lehao Xing; Ge Shi 002; Guang Yang; Lifang Wu (IJCNN, 2024)

Knowledge Graph Supported Benchmark and Video Captioning for Basketball. - Zeyu Xi; Ge Shi 002; Lifang Wu; Xuefen Li; Junchi Yan; Liang Wang 001; Zilin Liu (CoRR, 2024)

Learning Label Semantics for Weakly Supervised Group Activity Recognition. - Lifang Wu; Meng Tian; Ye Xiang; Ke Gu 001; Ge Shi 002 (IEEE Trans. Multim., 2024)

Learning Domain Specific Sub-layer Latent Variable for Multi-Domain Adaptation Neural Machine Translation. - Shuanghong Huang; Chong Feng 001; Ge Shi 002; Zhengjun Li; Xuan Zhao; Xinyan Li; Xiaomei Wang (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

One for All: A Unified Generative Framework for Image Emotion Classification. - Ge Shi 002; Sinuo Deng; Bo Wang 134; Chong Feng 001; Yan Zhuang; Xiaomei Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Counterfactual Graph Convolutional Learning for Personalized Recommendation. - Meng Jian; Yulong Bai 002; Xusong Fu; Jingjing Guo; Ge Shi 002; Lifang Wu (ACM Trans. Intell. Syst. Technol., 2024)

Learning to compose diversified prompts for image emotion classification. - Sinuo Deng; Lifang Wu; Ge Shi 002; Lehao Xing; Meng Jian; Ye Xiang; Ruihai Dong (Comput. Vis. Media, 2024)

Bi-Tuning with Collaborative Information for Controllable LLM-based Sequential Recommendation. - Xinyu Zhang; Linmei Hu; Luhao Zhang; Wentao Cheng; Yashen Wang; Ge Shi 002; Chong Feng 001; Liqiang Nie (ACL (1), 2025)

Mitigating the Discrepancy Between Video and Text Temporal Sequences: A Time-Perception Enhanced Video Grounding method for LLM. - Xuefen Li; Bo Wang 134; Ge Shi 002; Chong Feng 001; Jiahao Teng (COLING, 2025)

ClearView: A Quality-aware Cross-modal Alignment Framework for CT Report Generation. - Qingyong Su; Chong Feng 001; Bo Wang 134; Ge Shi 002; Yan Zhuang (ICMR, 2025)

EIKA: Explicit & Implicit Knowledge-Augmented Network for entity-aware sports video captioning. - Zeyu Xi; Ge Shi 002; Haoying Sun; Bowen Zhang; Shuyi Li; Lifang Wu (Expert Syst. Appl., 2025)

Enhancing discriminative ability in multimodal LLMs: A contrastive learning approach for CT report generation. - Qingyong Su; Chong Feng 001; Ge Shi 002; Bo Wang 134; Yan Zhuang (Inf. Fusion, 2025)

Geometric-Augmented Self-Distillation for Graph-Based Recommendation. - Meng Jian; Tuo Wang 001; Zhuoyang Xia; Ge Shi 002; Richang Hong; Lifang Wu (ACM Trans. Inf. Syst., 2025)