PolyU at MOAT in NTCIR-8. - Wenping Zhang; Dehong Gao; Wenjie Li 002 (NTCIR, 2010)

What Are Tweeters Doing: Recognizing Speech Acts in Twitter. - Renxian Zhang; Dehong Gao; Wenjie Li 002 (Analyzing Microtext, 2011)

Simultaneous Clustering and Noise Detection for Theme-based Summarization. - Xiaoyan Cai; Renxian Zhang; Dehong Gao; Wenjie Li 002 (IJCNLP, 2011)

Learning features through feedback for blog distillation. - Dehong Gao; Renxian Zhang; Wenjie Li 002; Raymond Yiu-Keung Lau; Kam-Fai Wong (SIGIR, 2011)

Generating Coherent Summaries with Textual Aspects. - Renxian Zhang; Wenjie Li 002; Dehong Gao (AAAI, 2012)

LDA-Based Topic Formation and Topic-Sentence Reinforcement for Graph-Based Multi-document Summarization. - Dehong Gao; Wenjie Li 002; Ouyang You; Renxian Zhang (AIRS, 2012)

Twitter hyperlink recommendation with user-tweet-hyperlink three-way clustering. - Dehong Gao; Renxian Zhang; Wenjie Li 002; Yuexian Hou (CIKM, 2012)

Efficient Feedback-based Feature Learning for Blog Distillation as a Terabyte Challenge. - Dehong Gao; Wenjie Li 002; Renxian Zhang (COLING (Demos), 2012)

Beyond Twitter Text: A Preliminary Study on Twitter Hyperlink and its Application. - Dehong Gao; Wenjie Li 002; Renxian Zhang (COLING (Demos), 2012)

A novel Tolerant Skyline Operator for decision support. - Junyi Chai 001; James N. K. Liu; Dehong Gao; Jian Xu 014 (GrC, 2012)

Opinion influence and diffusion in social network. - Dehong Gao (SIGIR, 2012)

Co-Training Based Bilingual Sentiment Lexicon Learning. - Dehong Gao; Furu Wei; Wenjie Li 002; Xiaohua Liu; Ming Zhou 001 (AAAI (Late-Breaking Developments), 2013)

Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics. - Dehong Gao; Wenjie Li 002; Renxian Zhang (ACL (2), 2013)

A unified graph model for personalized query-oriented reference paper recommendation. - Fanqi Meng; Dehong Gao; Wenjie Li 002; Xu Sun 001; Yuexian Hou (CIKM, 2013)

Automatic Twitter Topic Summarization With Speech Acts. - Renxian Zhang; Wenjie Li 002; Dehong Gao; Ouyang You (IEEE Trans. Speech Audio Process., 2013)

Towards content-level coherence with aspect-guided summarization. - Renxian Zhang; Wenjie Li 002; Dehong Gao (ACM Trans. Speech Lang. Process., 2013)

Inferring topic-dependent influence roles of Twitter users. - Chengyao Chen; Dehong Gao; Wenjie Li 002; Yuexian Hou (SIGIR, 2014)

Sequential Summarization: A Full View of Twitter Trending Topics. - Dehong Gao; Wenjie Li 002; Xiaoyan Cai; Renxian Zhang; Ouyang You (IEEE ACM Trans. Audio Speech Lang. Process., 2014)

A Constrained Multi-view Clustering Approach to Influence Role Detection. - Chengyao Chen; Dehong Gao; Wenjie Li 002; Yuexian Hou (SocInf@IJCAI, 2015)

Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation. - Dehong Gao; Furu Wei; Wenjie Li 002; Xiaohua Liu; Ming Zhou 001 (Comput. Linguistics, 2015)

Coherent narrative summarization with a cognitive model. - Renxian Zhang; Wenjie Li 002; Naishi Liu; Dehong Gao (Comput. Speech Lang., 2016)

Exploring Interpersonal Influence by Tracking User Dynamic Interactions. - Chengyao Chen; Wenjie Li 002; Dehong Gao; Yuexian Hou (IEEE Intell. Syst., 2017)

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval. - Dehong Gao; Linbo Jin; Ben Chen; Minghui Qiu; Peng Li 056; Yi Wei; Yi Hu; Hao Wang 005 (SIGIR, 2020)

Analysis of 4 imaging features in patients with COVID-19. - Jun Jin 004; Dehong Gao; Xin Mo; Si-ping Tan; Zhen-xia Kou; Yi-bo Chen; Jin-bo Cao; Wen-Jing Chen; Ya-ming Zhang; Bingqing Liu; Kuan-long Huang; Bing-ren Xu; et al. (BMC Medical Imaging, 2020)

Deep Hierarchical Classification for Category Prediction in E-commerce System. - Dehong Gao; Wenjing Yang; Huiling Zhou; Yi Wei; Yi Hu; Hao Wang 005 (CoRR, 2020)

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications. - Minghui Qiu; Peng Li 056; Hanjie Pan; Chengyu Wang 001; Ang Wang; Cen Chen 001; Yaliang Li; Dehong Gao; Jun Huang 007; Yong Li 020; Jun Yang 052; Deng Cai 001; et al. (CoRR, 2020)

Transformer-Based Language Model Fine-Tuning Methods for COVID-19 Fake News Detection. - Ben Chen; Bin Chen; Dehong Gao; Qijin Chen; Chengfu Huo; Xiaonan Meng; Weijun Ren; Yang Zhou (CONSTRAINT@AAAI, 2021)

Adversarial Domain Adaptation for Cross-lingual Information Retrieval with Multilingual BERT. - Runchuan Wang; Zhao Zhang 011; Fuzhen Zhuang; Dehong Gao; Yi Wei; Qing He 003 (CIKM, 2021)

Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain. - Mingchen Zhuge; Dehong Gao; Deng-Ping Fan; Linbo Jin; Ben Chen; Haoming Zhou; Minghui Qiu; Ling Shao 001 (CVPR, 2021)

Object Decoupling with Graph Correlation for Fine-Grained Image Classification. - Qiushi Guo; Mingchen Zhuge; Dehong Gao; Huiling Zhou; Xin Wang; Xiaonan Meng (ICME, 2021)

Cross-domain Knowledge Distillation for Retrieval-based Question Answering Systems. - Cen Chen 001; Chengyu Wang 001; Minghui Qiu; Dehong Gao; Linbo Jin; Wang Li (WWW, 2021)

Network Clustering for Multi-task Learning. - Dehong Gao; Wenjing Yang; Huiling Zhou; Yi Wei; Yi Hu; Hao Wang 005 (CoRR, 2021)

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement. - Fuwei Zhang; Zhao Zhang 011; Xiang Ao 001; Dehong Gao; Fuzhen Zhuang; Yi Wei; Qing He 003 (AAAI, 2022)

Revisiting Cold-Start Problem in CTR Prediction: Augmenting Embedding via GAN. - Xuxin Zhang; Di Wang; Dehong Gao; Wen Jiang; Wei Ning; Yang Zhou; Chen Wang 011 (CIKM, 2022)

Dependency Position Encoding for Relation Extraction. - Qiushi Guo; Xin Wang; Dehong Gao (NAACL-HLT (Findings), 2022)

EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising. - Guangyuan Shen; Shengjie Sun; Dehong Gao; Duanxiao Song; Libin Yang; Zhen Wang 004; Yongping Shi; Wei Ning (CIKM, 2023)

Fast Heterogeneous Federated Learning with Hybrid Client Selection. - Duanxiao Song; Guangyuan Shen; Dehong Gao; Libin Yang; Xukai Zhou; Shirui Pan; Wei Lou; Fang Zhou (UAI, 2023)

Unified Vision-Language Representation Modeling for E-Commerce Same-style Products Retrieval. - Ben Chen; Linbo Jin; Xinxin Wang; Dehong Gao; Wen Jiang; Wei Ning (WWW (Companion Volume), 2023)

QR-CLIP: Introducing Explicit Open-World Knowledge for Location and Time Reasoning. - Weimin Shi; Mingchen Zhuge; Zhong Zhou; Dehong Gao; Deng-Ping Fan (CoRR, 2023)

EdgeNet : Encoder-decoder generative Network for Auction Design in E-commerce Online Advertising. - Guangyuan Shen; Shengjie Sun; Dehong Gao; Libin Yang; Yongping Shi; Wei Ning (CoRR, 2023)

Cross-channel Budget Coordination for Online Advertising System. - Guangyuan Shen; Shengjie Sun; Dehong Gao; Shaolei Li; Libin Yang; Yongping Shi; Wei Ning (CoRR, 2023)

Masked Vision-language Transformer in Fashion. - Ge-Peng Ji; Mingchen Zhuge; Dehong Gao; Deng-Ping Fan; Christos Sakaridis; Luc Van Gool (Int. J. Autom. Comput., 2023)

Learning to Summarize Chinese Radiology Findings With a Pre-Trained Encoder. - Zuowei Jiang; Xiaoyan Cai; Libin Yang; Dehong Gao; Wei Zhao 040; Junwei Han 001; Jun Liu 075; Dinggang Shen; Tianming Liu 001 (IEEE Trans. Biomed. Eng., 2023)

RadChat: A Radiology Chatbot Incorporating Clinical Context for Radiological Reports Summarization. - Xin Mei; Libin Yang; Dehong Gao; Xiaoyan Cai; Tianming Liu 001; Junwei Han 001 (BIBM, 2024)

MoDULA: Mixture of Domain-Specific and Universal LoRA for Multi-Task Learning. - Yufei Ma 011; Zihan Liang; Huangyu Dai; Ben Chen; Dehong Gao; Zhuoran Ran; Zihan Wang; Linbo Jin; Wen Jiang 002; Guannan Zhang; Xiaoyan Cai; Libin Yang (EMNLP, 2024)

Self-Renewal Prompt Optimizing with Implicit Reasoning. - Zihan Liang; Ben Chen; Zhuoran Ran; Zihan Wang; Huangyu Dai; Yufei Ma 011; Dehong Gao; Xiaoyan Cai; Libin Yang (EMNLP (Findings), 2024)

HEDVA: Harnessing HTTP Traffic for Enhanced Detection of Vulnerability Attacks in IoT Networks. - Xukai Zhou; Libin Yang; Dehong Gao; Wei Lou (GLOBECOM, 2024)

FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding. - Duanxiao Song; Dehong Gao; Gongshen Liu; Xiaoyong Li (ICANN (5), 2024)

MLoRA: Multi-Domain Low-Rank Adaptive Network for CTR Prediction. - Zhiming Yang; Haining Gao; Dehong Gao; Luwei Yang; Libin Yang; Xiaoyan Cai; Wei Ning; Guannan Zhang (RecSys, 2024)

General2Specialized LLMs Translation for E-commerce. - Kaidi Chen; Ben Chen; Dehong Gao; Huangyu Dai; Wen Jiang 002; Wei Ning; Shanqing Yu; Libin Yang; Xiaoyan Cai (WWW (Companion Volume), 2024)

Bilateral Reference for High-Resolution Dichotomous Image Segmentation. - Peng Zheng 004; Dehong Gao; Deng-Ping Fan; Li Liu 002; Jorma Laaksonen; Wanli Ouyang; Nicu Sebe (CoRR, 2024)

LLMs-based machine translation for E-commerce. - Dehong Gao; Kaidi Chen; Ben Chen; Huangyu Dai; Linbo Jin; Wen Jiang 002; Wei Ning; Shanqing Yu; Qi Xuan 001; Xiaoyan Cai; Libin Yang; Zhen Wang 004 (Expert Syst. Appl., 2024)

FashionGPT: LLM instruction fine-tuning with multiple LoRA-adapter fusion. - Dehong Gao; Yufei Ma 011; Sen Liu 004; Mengfei Song; Linbo Jin; Wen Jiang 002; Xin Wang; Wei Ning; Shanqing Yu; Qi Xuan 001; Xiaoyan Cai; Libin Yang (Knowl. Based Syst., 2024)

An Inductive Reasoning Model based on Interpretable Logical Rules over temporal knowledge graph. - Xin Mei; Libin Yang; Zuowei Jiang; Xiaoyan Cai; Dehong Gao; Junwei Han 001; Shirui Pan (Neural Networks, 2024)

QR-CLIP: Introducing Explicit Knowledge for Location and Time Reasoning. - Weimin Shi; Dehong Gao; Yuan Xiong; Zhong Zhou (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Enhancing Fine-Grained Vision-Language Pretraining with Negative Augmented Samples. - Yeyuan Wang; Dehong Gao; Lei Yi; Linbo Jin; Jinxia Zhang; Libin Yang; Xiaoyan Cai (AAAI, 2025)

ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning. - Yeyuan Wang; Dehong Gao; Rujiao Long; Lei Yi; Linbo Jin; Libin Yang; Xiaoyan Cai (ACL (Findings), 2025)

FashionFAE: Fine-grained Attributes Enhanced Fashion Vision-Language Pre-training. - Jiale Huang; Dehong Gao; Jinxia Zhang; Zechao Zhan; Yang Hu; Xin Wang (ICASSP, 2025)

CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models. - Yeyuan Wang; Dehong Gao; Bin Li; Rujiao Long; Lei Yi; Xiaoyan Cai; Libin Yang; Jinxia Zhang; Shanqing Yu; Qi Xuan 001 (ICASSP, 2025)

MADiff: Text-Guided Fashion Image Editing with Mask Prediction and Attention-Enhanced Diffusion. - Zechao Zhan; Dehong Gao; Jinxia Zhang; Jiale Huang; Yang Hu; Xin Wang (ICASSP, 2025)

ChatGPT based contrastive learning for radiology report summarization. - Zhenjie Luo; Zuowei Jiang; Mingyang Wang; Xiaoyan Cai; Dehong Gao; Libin Yang (Expert Syst. Appl., 2025)

Prompt enhanced neural machine translation with POS tags. - Zhiying Mu; Shengchuan Lin; Sensen Guo; Shanqing Yu; Dehong Gao (Neurocomputing, 2025)

QExplorer: Large Language Model Based Query Extraction for Toxic Content Exploration. - Shaola Ren; Li Ke; Longtao Huang; Dehong Gao; Hui Xue 001 (CoRR, 2025)

Network Clustering for Multi-task Learning. - Zhiying Mu; Dehong Gao; Sensen Guo (Neural Process. Lett., 2025)

Instruction-Aligned Visual Attention for Mitigating Hallucinations in Large Vision-Language Models. - Bin Li; Dehong Gao; Yeyuan Wang; Linbo Jin; Shanqing Yu; Xiaoyan Cai; Libin Yang (CoRR, 2025)

FedSTS: A Stratified Client Selection Framework for Consistently Fast Federated Learning. - Dehong Gao; Duanxiao Song; Guangyuan Shen; Xiaoyan Cai; Libin Yang; Gongshen Liu; Xiaoyong Li; Zhen Wang 004 (IEEE Trans. Neural Networks Learn. Syst., 2025)