Integrating multiple biomedical resources for protein complex prediction. - Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Bo Xu 009 (BIBM, 2013)

A Time-Sensitive Model for Microblog Retrieval. - Cunhui Shi; Bo Xu 009; Hongfei Lin; Qing Guo (NLPCC, 2013)

Protein Complex Prediction in Large Ontology Attributed Protein-Protein Interaction Networks. - Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Yanpeng Li; Bo Xu 009 (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

GPQ: Directly Optimizing Q-measure based on Genetic Programming. - Yuan Lin 001; Hongfei Lin; Ping Zhang; Bo Xu 009 (CIKM, 2014)

Learning to rank for biomedical information retrieval. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Yunlong Ma; Liang Yang 003; Jian Wang 021; Zhihao Yang (BIBM, 2015)

Discover potential adverse drug reactions using the skip-gram model. - Mingzhen Zhao; Bo Xu 009; Hongfei Lin; Zhihao Yang; Jian Wang 021 (BIBM, 2015)

Predicting Best Answerers for New Questions: An Approach Leveraging Distributed Representations of Words in Community Question Answering. - Hualei Dong; Jian Wang 021; Hongfei Lin; Bo Xu 009; Zhihao Yang (FCST, 2015)

Learning to Rank with Likelihood Loss Functions. - Yuan Lin 001; Liang Yang 003; Bo Xu 009; Hongfei Lin; Kan Xu (AIRS, 2016)

Patent Retrieval Based on Multiple Information Resources. - Kan Xu; Hongfei Lin; Yuan Lin 001; Bo Xu 009; Liang Yang 003; Shaowu Zhang 002 (AIRS, 2016)

Detecting Potential Adverse Drug Reactions from Health-Related Social Networks. - Bo Xu 009; Hongfei Lin; Mingzhen Zhao; Zhihao Yang; Jian Wang 021; Shaowu Zhang 002 (NLPCC/ICCPOL, 2016)

Generating User-oriented Text Summarization Based on Social Networks Using Topic Models. - Bo Xu 009; Hongfei Lin; Huihui Hao; Zhihao Yang; Jian Wang 021; Shaowu Zhang 002 (SMP, 2016)

Improving biomedical information retrieval by linear combinations of different query expansion techniques. - Ahmed AbdoAziz Ahmed Abdulla; Hongfei Lin; Bo Xu 009; Santosh Kumar Banbhrani (BMC Bioinform., 2016)

Assessment of learning to rank methods for query expansion. - Bo Xu 009; Hongfei Lin; Yuan Lin 001 (J. Assoc. Inf. Sci. Technol., 2016)

A graph kernel based on context vectors for extracting drug-drug interactions. - Wei Zheng 003; Hongfei Lin; Zhehuan Zhao; Bo Xu 009; Yijia Zhang 001; Zhihao Yang; Jian Wang 021 (J. Biomed. Informatics, 2016)

Tripartite-Replicated Softmax Model for Document Representations. - Bo Xu 009; Hongfei Lin; Lin Wang; Yuan Lin 001; Kan Xu; Xiaocong Wei; Dong Huang (CCIR, 2017)

Learning to Rank with Query-level Semi-supervised Autoencoders. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Kan Xu (CIKM, 2017)

Detecting Potential Adverse Drug Reactions Using Association Rules and Embedding Models. - Kai Guo; Hongfei Lin; Bo Xu 009; Zhihao Yang; Jian Wang 021; Yuanyuan Sun 002; Kan Xu (ISBRA, 2017)

Social Annotation for Query Expansion Learning from Multiple Expansion Strategies. - Yuan Lin 001; Bo Xu 009; Luying Li; Hongfei Lin; Kan Xu (SMP, 2017)

Construction of a Chinese Corpus for the Analysis of the Emotionality of Metaphorical Expressions. - Dongyu Zhang 001; Hongfei Lin; Liang Yang 003; Shaowu Zhang 002; Bo Xu 009 (ACL (2), 2018)

Improve Diversity-oriented Biomedical Information Retrieval using Supervised Query Expansion. - Bo Xu 009; Hongfei Lin; Liang Yang 003; Kan Xu; Yijia Zhang 001; Dongyu Zhang 001; Zhihao Yang; Jian Wang 021; Yuan Lin 001; Fuliang Yin (BIBM, 2018)

PC-SENE: A node embedding based method for protein complex detection. - Xiaoxia Liu; Zhihao Yang; Shengtian Sang; Lei Wang 085; Yin Zhang 009; Hongfei Lin; Bo Xu 009; Yijia Zhang 001; Liang Yang 003; Kan Xu; Jian Wang 021 (BIBM, 2018)

Protein Complexes Detection Based on Global Network Representation Learning. - Bo Xu 009; Kun Li; Xiaoxia Liu; Delong Liu; Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Feng Xia 001 (BIBM, 2018)

Multipath2vec: Predicting Pathogenic Genes via Heterogeneous Network Embedding. - Bo Xu 009; Yu Liu 035; Shuo Yu 001; Lei Wang 005; Lei Liu; Hongfei Lin; Zhihao Yang; Jian Wang 021; Feng Xia 001 (BIBM, 2018)

Full-attention Based Drug Drug Interaction Extraction Exploiting User-generated Content. - Bo Xu 009; Xiufeng Shi; Zhehuan Zhao; Wei Zheng 003; Hongfei Lin; Zhihao Yang; Jian Wang 021; Feng Xia 001 (BIBM, 2018)

WECA：A WordNet-Encoded Collocation-Attention Network for Homographic Pun Recognition. - Yufeng Diao; Hongfei Lin; Di Wu 007; Liang Yang 003; Kan Xu; Zhihao Yang; Jian Wang 021; Shaowu Zhang 002; Bo Xu 009; Dongyu Zhang 001 (EMNLP, 2018)

RPML: A Learning-Based Approach for Reranking Protein-Spectrum Matches. - Qiong Duan; Hao Liang; Chaohua Sheng; Jun Wu; Bo Xu 009; Zengyou He (ICIC (1), 2018)

Stock Market Trend Prediction Using Recurrent Convolutional Neural Networks. - Bo Xu 009; Dongyu Zhang 001; Shaowu Zhang 002; Hengchao Li; Hongfei Lin (NLPCC (2), 2018)

TNERec: Topic-Aware Network Embedding for Scientific Collaborator Recommendation. - Xiangjie Kong 001; Mengyi Mao; Jiaying Liu 006; Bo Xu 009; Ruihe Huang; Qun Jin (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Personality Predictions Based on User Behavior on the Facebook Social Media Platform. - Michael M. Tadesse; Hongfei Lin; Bo Xu 009; Liang Yang 003 (IEEE Access, 2018)

Improving Pseudo-Relevance Feedback With Neural Network-Based Word Representations. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Liang Yang 003; Kan Xu (IEEE Access, 2018)

A document level neural model integrated domain knowledge for chemical-induced disease relations. - Wei Zheng 003; Hongfei Lin; Xiaoxia Liu; Bo Xu 009 (BMC Bioinform., 2018)

An effective neural model extracting document level chemical-induced disease relations from biomedical literature. - Wei Zheng 003; Hongfei Lin; Zhiheng Li 004; Xiaoxia Liu; Zhengguang Li; Bo Xu 009; Yijia Zhang 001; Zhihao Yang; Jian Wang 021 (J. Biomed. Informatics, 2018)

Improve Biomedical Information Retrieval Using Modified Learning to Rank Methods. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Yunlong Ma; Liang Yang 003; Jian Wang 021; Zhihao Yang (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Multi-granularity Convolutional Neural Network with Feature Fusion and Refinement for User Profiling. - Bo Xu 009; Michael M. Tadesse; Peng Fei; Hongfei Lin (CCIR, 2019)

Bi-directional Capsule Network Model for Chinese Biomedical Community Question Answering. - Tongxuan Zhang; Yuqi Ren; Michael Mesfin Tadessem; Bo Xu 009; Xikai Liu; Liang Yang 003; Zhihao Yang; Jian Wang 021; Hongfei Lin (NLPCC (1), 2019)

Detection of Depression-Related Posts in Reddit Social Media Forum. - Michael M. Tadesse; Hongfei Lin; Bo Xu 009; Liang Yang 003 (IEEE Access, 2019)

Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Yufeng Diao; Liang Yang 003; Kan Xu (IEEE Access, 2019)

A supervised term ranking model for diversity enhanced biomedical information retrieval. - Bo Xu 009; Hongfei Lin; Liang Yang 003; Kan Xu; Yi-Jia Zhang 001; Dongyu Zhang 001; Zhihao Yang; Jian Wang 021; Yuan Lin 001; Fuliang Yin (BMC Bioinform., 2019)

Adverse drug reaction detection via a multihop self-attention mechanism. - Tongxuan Zhang; Hongfei Lin; Yuqi Ren; Liang Yang 003; Bo Xu 009; Zhihao Yang; Jian Wang 021; Yijia Zhang 001 (BMC Bioinform., 2019)

Improving User Attribute Classification with Text and Social Network Attention. - Yumeng Li; Liang Yang 003; Bo Xu 009; Jian Wang 021; Hongfei Lin (Cogn. Comput., 2019)

FGFIREM: A feature generation framework based on information retrieval evaluation measures. - Yuan Lin 001; Bo Xu 009; Hongfei Lin; Kan Xu; Ping Zhang (Expert Syst. Appl., 2019)

Incorporating query constraints for autoencoder enhanced ranking. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Kan Xu (Neurocomputing, 2019)

Incorporating Semantic Word Representations into Query Expansion for Microblog Information Retrieval. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Kan Xu; Lin Wang; Jiping Gao (Inf. Technol. Control., 2019)

Neural network-based approaches for biomedical relation classification: A review. - Yijia Zhang 001; Hongfei Lin; Zhihao Yang; Jian Wang 021; Yuanyuan Sun 002; Bo Xu 009; Zhehuan Zhao (J. Biomed. Informatics, 2019)

A hybrid deep neural network model for query intent classification. - Bo Xu 009; Yunlong Ma; Hongfei Lin (J. Intell. Fuzzy Syst., 2019)

Learning to rank using multiple loss functions. - Yuan Lin 001; Jiajin Wu; Bo Xu 009; Kan Xu; Hongfei Lin (Int. J. Mach. Learn. Cybern., 2019)

Learning to Refine Expansion Terms for Biomedical Information Retrieval Using Semantic Resources. - Bo Xu 009; Hongfei Lin; Yuan Lin 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2019)

Drug Repositioning for SARS-CoV-2 Based on Graph Neural Network. - Haifeng Liu 002; Hongfei Lin; Chen Shen 001; Liang Yang 003; Yuan Lin 001; Bo Xu 009; Zhihao Yang; Jian Wang 021; Yuanyuan Sun 002 (BIBM, 2020)

Gated iterative capsule network for adverse drug reaction detection from social media. - Tongxuan Zhang; Hongfei Lin; Bo Xu 009; Yuqi Ren; Zhihao Yang; Jian Wang 021; Xiaodong Duan (BIBM, 2020)

Multimodal Clustering via Deep Commonness and Uniqueness Mining. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Bo Xu 009 (CIKM, 2020)

Generating Dialogue Responses with Latent Lexical Meaning. - Xikai Liu; Hongfei Lin; Yumeng Li; Yuqi Ren; Bo Xu 009 (CLSW, 2020)

Improving Social Recommendations with Item Relationships. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Liang Yang 003; Yuan Lin 001; Yonghe Chu; Wenqi Fan; Nan Zhao 001 (ICONIP (4), 2020)

Multi-Element Hierarchical Attention Capsule Network for Stock Prediction. - Jintao Liu; Hongfei Lin; Liang Yang 003; Bo Xu 009; Dongzhen Wen (IEEE Access, 2020)

Detection of Suicide Ideation in Social Media Forums Using Deep Learning. - Michael Mesfin Tadesse; Hongfei Lin; Bo Xu 009; Liang Yang 003 (Algorithms, 2020)

Discriminative globality-locality preserving extreme learning machine for image classification. - Yonghe Chu; Hongfei Lin; Liang Yang 003; Yufeng Diao; Dongyu Zhang 001; Shaowu Zhang 002; Xiaochao Fan; Chen Shen 001; Bo Xu 009; Deqin Yan (Neurocomputing, 2020)

Sarcasm Detection with Sentiment Semantics Enhanced Multi-level Memory Network. - Lu Ren; Bo Xu 009; Hongfei Lin; Xikai Liu; Liang Yang 003 (Neurocomputing, 2020)

Multi-granularity bidirectional attention stream machine comprehension method for emotion cause extraction. - Yufeng Diao; Hongfei Lin; Liang Yang 003; Xiaochao Fan; Yonghe Chu; Di Wu 007; Kan Xu; Bo Xu 009 (Neural Comput. Appl., 2020)

Integrating social annotations into topic models for personalized document retrieval. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Yizhou Guan (Soft Comput., 2020)

TL-BERT: A Novel Biomedical Relation Extraction Approach. - Zhehuan Zhao; Yuying Zou; Yang Tian; Bo Xu 009; Zhihao Yang; Jian Wang 021; Hongfei Lin; Shimin Shan; Yu Liu 035 (BIBM, 2021)

Locality Preserving Sentence Encoding. - Changrong Min; Yonghe Chu; Liang Yang 003; Bo Xu 009; Hongfei Lin (EMNLP (Findings), 2021)

MUMOR: A Multimodal Dataset for Humor Detection in Conversations. - Jiaming Wu; Hongfei Lin; Liang Yang 003; Bo Xu 009 (NLPCC (1), 2021)

Info-flow Enhanced GANs for Recommender. - Yuan Lin 001; Zhang Xie; Bo Xu 009; Kan Xu; Hongfei Lin (SIGIR, 2021)

FedCMR: Federated Cross-Modal Retrieval. - Linlin Zong; Qiujie Xie; Jiahui Zhou; Peiran Wu; Xianchao Zhang 001; Bo Xu 009 (SIGIR, 2021)

Adversarial transfer network with bilinear attention for the detection of adverse drug reactions from social media. - Tongxuan Zhang; Hongfei Lin; Yuqi Ren; Zhihao Yang; Jian Wang 021; Shaowu Zhang 002; Bo Xu 009; Xiaodong Duan (Appl. Soft Comput., 2021)

Graph Force Learning. - Ke Sun 011; Jiaying Liu 006; Shuo Yu 001; Bo Xu 009; Feng Xia 001 (CoRR, 2021)

Identifying adverse drug reaction entities from social media with adversarial transfer learning model. - Tongxuan Zhang; Hongfei Lin; Yuqi Ren; Zhihao Yang; Jian Wang 021; Xiaodong Duan; Bo Xu 009 (Neurocomputing, 2021)

Dual Part-pooling Attentive Networks for Session-based Recommendation. - Xiaokun Zhang 001; Hongfei Lin; Liang Yang 003; Bo Xu 009; Yufeng Diao; Lu Ren (Neurocomputing, 2021)

SC-Political ResNet: Hashtag Recommendation from Tweets Using Hybrid Optimization-Based Deep Residual Network. - Santosh Kumar Banbhrani; Bo Xu 009; Haifeng Liu 002; Hongfei Lin (Inf., 2021)

Adversarial neural network with sentiment-aware attention for detecting adverse drug reactions. - Tongxuan Zhang; Hongfei Lin; Bo Xu 009; Liang Yang 003; Jian Wang 021; Xiaodong Duan (J. Biomed. Informatics, 2021)

Knowledge-enhanced recommendation using item embedding and path attention. - Yuan Lin 001; Bo Xu 009; Jiaojiao Feng; Hongfei Lin; Kan Xu (Knowl. Based Syst., 2021)

Two-stage supervised ranking for emotion cause extraction. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Kan Xu (Knowl. Based Syst., 2021)

Learning to capture contrast in sarcasm with contextual dual-view attention network. - Lu Ren; Hongfei Lin; Bo Xu 009; Liang Yang 003; Dongyu Zhang 001 (Int. J. Mach. Learn. Cybern., 2021)

Chinese medical relation extraction based on multi-hop self-attention mechanism. - Tongxuan Zhang; Hongfei Lin; Michael M. Tadesse; Yuqi Ren; Xiaodong Duan; Bo Xu 009 (Int. J. Mach. Learn. Cybern., 2021)

ABML: attention-based multi-task learning for jointly humor recognition and pun detection. - Lu Ren; Bo Xu 009; Hongfei Lin; Liang Yang 003 (Soft Comput., 2021)

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. - Bo Xu 009; Hongtong Zhang; Jian Wang 021; Xiaokun Zhang 001; Dezhi Hao; Linlin Zong; Hongfei Lin; Fenglong Ma (COLING, 2022)

Memeplate: A Chinese Multimodal Dataset for Humor Understanding in Meme Templates. - Zefeng Li; Hongfei Lin; Liang Yang 003; Bo Xu 009; Shaowu Zhang 002 (NLPCC (1), 2022)

Multi-task Hierarchical Cross-Attention Network for Multi-label Text Classification. - Junyu Lu; Hao Zhang 114; Zhexu Shen; Kaiyuan Shi; Liang Yang 003; Bo Xu 009; Shaowu Zhang 002; Hongfei Lin (NLPCC (2), 2022)

GUTS at SemEval-2022 Task 4: Adversarial Training and Balancing Methods for Patronizing and Condescending Language Detection. - Junyu Lu; Hao Zhang 114; Tongyue Zhang; Hongbo Wang; Haohao Zhu; Bo Xu 009; Hongfei Lin (SemEval@NAACL, 2022)

MET-Meme: A Multimodal Meme Dataset Rich in Metaphors. - Bo Xu 009; Tingting Li; Junzhe Zheng; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (SIGIR, 2022)

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Liang Yang 003; Chenliang Li; Fenglong Ma; Haifeng Liu 002; Hongfei Lin (SIGIR, 2022)

An attention network via pronunciation, lexicon and syntax for humor recognition. - Lu Ren; Bo Xu 009; Hongfei Lin; Jinhui Zhang; Liang Yang 003 (Appl. Intell., 2022)

Self-supervised learning for fair recommender systems. - Haifeng Liu 002; Hongfei Lin; Wenqi Fan; Yuqi Ren; Bo Xu 009; Xiaokun Zhang 001; Dongzhen Wen; Nan Zhao 001; Yuan Lin 001; Liang Yang 003 (Appl. Soft Comput., 2022)

Cognitive Knowledge-aware Social Recommendation via Group-enhanced Ranking Model. - Bo Xu 009; Hongfei Lin; Liang Yang 003; Yuan Lin 001; Kan Xu (Cogn. Comput., 2022)

Dynamic intent-aware iterative denoising network for session-based recommendation. - Xiaokun Zhang 001; Hongfei Lin; Bo Xu 009; Chenliang Li; Yuan Lin 001; Haifeng Liu 002; Fenglong Ma (Inf. Process. Manag., 2022)

Perceived individual fairness with a molecular representation for medicine recommendations. - Haifeng Liu 002; Hongfei Lin; Bo Xu 009; Nan Zhao 001; Dongzhen Wen; Xiaokun Zhang 001; Yuan Lin 001 (Knowl. Based Syst., 2022)

Dual constraints and adversarial learning for fair recommenders. - Haifeng Liu 002; Nan Zhao 001; Xiaokun Zhang 001; Hongfei Lin; Liang Yang 003; Bo Xu 009; Yuan Lin 001; Wenqi Fan (Knowl. Based Syst., 2022)

Heterogeneous information network embedding based on multiperspective metapath for question routing. - Lingfei Qian; Jian Wang 021; Hongfei Lin; Bo Xu 009; Liang Yang 003 (Knowl. Based Syst., 2022)

Mitigating sensitive data exposure with adversarial learning for fairness recommendation systems. - Haifeng Liu 002; Yukai Wang; Hongfei Lin; Bo Xu 009; Nan Zhao 001 (Neural Comput. Appl., 2022)

Computational personality: a survey. - Liang Yang 003; Shuqun Li; Xi Luo; Bo Xu 009; Yuanling Geng; Zeyuan Zeng; Fan Zhang; Hongfei Lin (Soft Comput., 2022)

Exploiting Pairwise Mutual Information for Knowledge-Grounded Dialogue. - Bo Zhang 121; Jian Wang 021; Hongfei Lin; Hui Ma; Bo Xu 009 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Context-aware ranking refinement with attentive semi-supervised autoencoders. - Bo Xu 009; Hongfei Lin; Yuan Lin 001; Kan Xu (Soft Comput., 2022)

Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks. - Junyu Lu; Bo Xu 009; Xiaokun Zhang 001; Changrong Min; Liang Yang 003; Hongfei Lin (ACL (1), 2023)

Just Like a Human Would, Direct Access to Sarcasm Augmented with Potential Result and Reaction. - Changrong Min; Ximing Li; Liang Yang 003; Zhilin Wang; Bo Xu 009; Hongfei Lin (ACL (1), 2023)

SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions. - Yunzhi Qiu; Xiaokun Zhang 001; Weiwei Wang; Youlin Wu; Bo Xu 009; Haifeng Liu 002; Hongfei Lin (BIBM, 2023)

A novel few-shot learning approach for the classification of histological images of liver tumors. - Bo Xu 009; Qirui Wang; Longjiao Li; Jinqiao Yang; Hongfei Lin; Feng Ding 004 (BIBM, 2023)

Biomedical Named Entity Recognition Through Deep Reinforcement Learning. - Zhehuan Zhao; Bo Xu 009; Yuying Zou; Zhihao Yang; Menghan Wang; Hongfei Lin (BIBM, 2023)

An Early Depression Detection Model on Social Media using Emotional and Causal Features. - Linlin Zong; Jian Zheng; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (BIBM, 2023)

ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. - Bo Zhang 121; Jian Wang 021; Hui Ma; Bo Xu 009; Hongfei Lin (ACM Multimedia, 2023)

KESDT: Knowledge Enhanced Shallow and Deep Transformer for Detecting Adverse Drug Reactions. - Yunzhi Qiu; Xiaokun Zhang 001; Weiwei Wang; Tongxuan Zhang; Bo Xu 009; Hongfei Lin (NLPCC (2), 2023)

Adversarial Training and Model Ensemble for User Feedback Prediciton in Conversation System. - Junlong Wang; Yongqi Leng; Xinyu Zhai; Linlin Zong; Hongfei Lin; Bo Xu 009 (NLPCC (3), 2023)

ZRIGF: An Innovative Multimodal Framework for Zero-Resource Image-Grounded Dialogue Generation. - Bo Zhang; Jian Wang 021; Hui Ma; Bo Xu 009; Hongfei Lin (CoRR, 2023)

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations. - Hui Ma; Jian Wang 021; Hongfei Lin; Bo Zhang; Yijia Zhang 001; Bo Xu 009 (CoRR, 2023)

Hate Speech Detection via Dual Contrastive Learning. - Junyu Lu; Hongfei Lin; Xiaokun Zhang 001; Zhaoqing Li; Tongyue Zhang; Linlin Zong; Fenglong Ma; Bo Xu 009 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Graph augmented sequence-to-sequence model for neural question generation. - Hui Ma; Jian Wang 021; Hongfei Lin; Bo Xu 009 (Appl. Intell., 2023)

Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective. - Changrong Min; Hongfei Lin; Ximing Li; He Zhao; Junyu Lu; Liang Yang 003; Bo Xu 009 (Inf. Fusion, 2023)

Video-Context Aligned Transformer for Video Question Answering. - Linlin Zong; Jiahui Wan; Xianchao Zhang 001; Xinyue Liu 002; Wenxin Liang; Bo Xu 009 (AAAI, 2024)

Unveiling Opinion Evolution via Prompting and Diffusion for Short Video Fake News Detection. - Linlin Zong; Jiahui Zhou; Wenmin Lin; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (ACL (Findings), 2024)

Biomedical Event Extraction as Semantic Segmentation. - Liangyu Gao; Zhihao Yang; Jinzhong Ning; Kai Ma; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; et al. (BIBM, 2024)

Document-level Biomedical Relation Extraction Based on Relation-guided Entity-level Graphs. - Liangyu Gao; Zhihao Yang; Haixin Tan; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Yuanyuan Sun 002; et al. (BIBM, 2024)

Document Embeddings Enhance Biomedical Retrieval-Augmented Generation. - Yongle Kong; Zhihao Yang; Ling Luo 001; Zeyuan Ding; Lei Wang 085; Wei Liu; Yin Zhang 009; Bo Xu 009; Jian Wang 021; Yuanyuan Sun 002; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Biomedical Document-level Relation Extraction with Coreference and Anaphor Graphs. - Jiru Li; Yuanyuan Sun 002; Zhihao Yang; Ling Luo 001; Lei Wang 085; Wei Liu; Yin Zhang 009; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Efficient Knowledge Graph Embedding Framework to Alleviate Data Sparsity for Polypharmacy Side Effects Prediction. - Senbo Tu; Zhihao Yang; Lei Wang 085; Wei Liu; Yin Zhang 009; Ling Luo 001; Bo Xu 009; Jian Wang 021; Yumeng Yang; Zhehuan Zhao; Hongfei Lin (BIBM, 2024)

Modeling Implicit Emotion and User-specific Context for Malevolence Detection in Mental Health Counseling Dialogues. - Bo Xu 009; Xuening Qiao; Xiaokun Zhang 001; Jiahui Wan; Xinyue Liu 002; Linlin Zong; Hongfei Lin (BIBM, 2024)

MPHDetect: Multi-View Prompting and Hypergraph Fusion for Malevolence Detection in Dialogues. - Bo Xu 009; Xuening Qiao; Hongfei Lin; Linlin Zong (CIKM, 2024)

Temporal Knowledge Graph Reasoning with Dynamic Hypergraph Embedding. - Xinyue Liu 002; Jianan Zhang; Chi Ma; Wenxin Liang; Bo Xu 009; Linlin Zong (LREC/COLING, 2024)

Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect. - Junyu Lu; Bo Xu 009; Xiaokun Zhang 001; Kaiyuan Liu; Dongyu Zhang 001; Liang Yang 003; Hongfei Lin (LREC/COLING, 2024)

Beyond Linguistic Cues: Fine-grained Conversational Emotion Recognition via Belief-Desire Modelling. - Bo Xu 009; Longjiao Li; Wei Luo 001; Mehdi Naseriparsa; Zhehuan Zhao; Hongfei Lin; Feng Xia 001 (LREC/COLING, 2024)

RENN: A Rule Embedding Enhanced Neural Network Framework for Temporal Knowledge Graph Completion. - Linlin Zong; Zhenrong Xie; Chi Ma; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (LREC/COLING, 2024)

Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks. - Xinyue Liu 002; Yunlong Gao; Linlin Zong; Bo Xu 009 (EMNLP (Findings), 2024)

Breaking the Boundaries: A Unified Framework for Chinese Named Entity Recognition Across Text and Speech. - Jinzhong Ning; Yuanyuan Sun 002; Bo Xu 009; Zhihao Yang; Ling Luo 001; Hongfei Lin (EMNLP (Findings), 2024)

PclGPT: A Large Language Model for Patronizing and Condescending Language Detection. - Hongbo Wang; Mingda Li; Junyu Lu; Hebin Xia; Liang Yang 003; Bo Xu 009; Ruizhu Liu; Hongfei Lin (EMNLP (Findings), 2024)

Multi-modal Deep Emotion-Cause Pair Extraction for Video Corpus. - Qianli Zhao; Linlin Zong; Bo Xu 009; Xianchao Zhang 001; Xinyue Liu 002 (ICPR (4), 2024)

Conditional Diffusion Model for Open-ended Video Question Answering. - Xinyue Liu 002; Jiahui Wan; Linlin Zong; Bo Xu 009 (ACM Multimedia, 2024)

Towards Comprehensive Detection of Chinese Harmful Memes. - Junyu Lu; Bo Xu 009; Xiaokun Zhang 001; Hongbo Wang; Haohao Zhu; Dongyu Zhang 001; Liang Yang 003; Hongfei Lin (NeurIPS, 2024)

Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning. - Yijie Shu; Xiaokun Zhang 001; Youlin Wu; Bo Xu 009; Liang Yang 003; Hongfei Lin (NLPCC (4), 2024)

DUTIR938 at SemEval-2024 Task 4: Semi-Supervised Learning and Model Ensemble for Persuasion Techniques Detection in Memes. - Erchen Yu; Junlong Wang; Xuening Qiao; Jiewei Qi; Zhaoqing Li; Hongfei Lin; Linlin Zong; Bo Xu 009 (SemEval@NAACL, 2024)

Disentangling ID and Modality Effects for Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Zhaochun Ren; Xiaochen Wang 002; Hongfei Lin; Fenglong Ma (SIGIR, 2024)

FineRec: Exploring Fine-grained Sequential Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Youlin Wu; Yuan Zhong 002; Hongfei Lin; Fenglong Ma (SIGIR, 2024)

Dual cycle generative adversarial networks for web search. - Yuan Lin 001; Chengxuan Ying; Bo Xu 009; Hongfei Lin (Appl. Soft Comput., 2024)

Side Information-Driven Session-based Recommendation: A Survey. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Yao Zhou; Liangyue Li; Hongfei Lin (CoRR, 2024)

Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives. - Haohao Zhu; Xiaokun Zhang 001; Junyu Lu; Youlin Wu; Zewen Bai; Changrong Min; Liang Yang 003; Bo Xu 009; Dongyu Zhang 001; Hongfei Lin (CoRR, 2024)

Distilling Implicit Multimodal Knowledge into LLMs for Zero-Resource Dialogue Generation. - Bo Zhang; Hui Ma; Jian Ding; Jian Wang 021; Bo Xu 009; Hongfei Lin (CoRR, 2024)

Empathy Level Alignment via Reinforcement Learning for Empathetic Response Generation. - Hui Ma; Bo Zhang; Bo Xu 009; Jian Wang 021; Hongfei Lin; Xiao Sun (CoRR, 2024)

A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations. - Hui Ma; Jian Wang 021; Hongfei Lin; Bo Zhang 121; Yi-Jia Zhang 001; Bo Xu 009 (IEEE Trans. Multim., 2024)

Emotion-cause pair extraction via knowledge-driven multi-classification and graph-based position embedding. - Linlin Zong; Jinglin Zhang; Jiahui Zhou; Xianchao Zhang 001; Bo Xu 009 (Appl. Intell., 2024)

Self-Supervised Deep Multiview Spectral Clustering. - Linlin Zong; Faqiang Miao; Xianchao Zhang 001; Wenxin Liang; Bo Xu 009 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li; Liang Yang 003; Hongfei Lin (IEEE Trans. Knowl. Data Eng., 2024)

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li; Yuan Lin 001; Hongfei Lin (ACM Trans. Inf. Syst., 2024)

Topic-aware cosine graph convolutional neural network for short text classification. - Changrong Min; Yonghe Chu; Hongfei Lin; Bolin Wang; Liang Yang 003; Bo Xu 009 (Soft Comput., 2024)

LegalATLE: an active transfer learning framework for legal triple extraction. - Haiguang Zhang; Yuanyuan Sun 002; Bo Xu 009; Hongfei Lin (Appl. Intell., 2024)

Correction to: LegalATLE: an active transfer learning framework for legal triple extraction. - Haiguang Zhang; Yuanyuan Sun 002; Bo Xu 009; Hongfei Lin (Appl. Intell., 2024)

Text-Guided Fine-grained Counterfactual Inference for Short Video Fake News Detection. - Linlin Zong; Wenmin Lin; Jiahui Zhou; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009; Shimin Wu (AAAI, 2025)

Is LLM an Overconfident Judge? Unveiling the Capabilities of LLMs in Detecting Offensive Language with Annotation Disagreement. - Junyu Lu; Kai Ma; Kaichun Wang; Kelaiti Xiao; Roy Ka-Wei Lee; Bo Xu 009; Liang Yang 003; Hongfei Lin (ACL (Findings), 2025)

Conditional Semantic Textual Similarity via Conditional Contrastive Learning. - Xinyue Liu 002; Zeyang Qin; Zeyu Wang; Wenxin Liang; Linlin Zong; Bo Xu 009 (COLING, 2025)

HyperHatePrompt: A Hypergraph-based Prompting Fusion Model for Multimodal Hate Detection. - Bo Xu 009; Erchen Yu; Jiahui Zhou; Hongfei Lin; Linlin Zong (COLING, 2025)

Triple Path Enhanced Neural Architecture Search for Multimodal Fake News Detection. - Bo Xu 009; Qiujie Xie; Jiahui Zhou; Linlin Zong (ICASSP, 2025)

Case-Based Reasoning in Generative Agents: Review and Prospect. - Haoxi Zhan; Youlin Wu; Jian Ding; Bo Xu 009; Liang Yang 003; Hongfei Lin (ICCBR, 2025)

Prototype Tuning: A Meta-Learning Approach for Few-Shot Document-Level Relation Extraction with Large Language Models. - Dinghao Pan; Yuanyuan Sun 002; Bo Xu 009; Jiru Li; Zhihao Yang; Ling Luo 001; Hongfei Lin; Jian Wang 021 (NAACL (Findings), 2025)

Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection. - Junyu Lu; Bo Xu 009; Xiaokun Zhang 001; Haohao Zhu; Kaichun Wang; Liang Yang 003; Hongfei Lin (SIGIR, 2025)

Text-adaptive spatio-temporal interaction network for video question answering. - Linlin Zong; Jiahui Wan; Xinyu Zhai; Qianli Zhao; Xinyue Liu 002; Xianchao Zhang 001; Bo Xu 009 (Neurocomputing, 2025)

Span-based syntactic feature fusion for aspect sentiment triplet extraction. - Guangtao Xu; Zhihao Yang; Bo Xu 009; Ling Luo 001; Hongfei Lin (Inf. Fusion, 2025)

Distilling implicit multimodal knowledge into large language models for zero-resource dialogue generation. - Bo Zhang 121; Hui Ma; Jian Ding; Jian Wang 021; Bo Xu 009; Hongfei Lin (Inf. Fusion, 2025)

Guiding Prototype Networks with label semantics for few-shot text classification. - Xinyue Liu 002; Yunlong Gao; Linlin Zong; Wenxin Liang; Bo Xu 009 (Pattern Recognit., 2025)

Continual learning with high-order experience replay for dynamic network embedding. - Zhizheng Wang; Yuanyuan Sun 002; Xiaokun Zhang 001; Bo Xu 009; Zhihao Yang; Hongfei Lin (Pattern Recognit., 2025)

Unveiling the Capabilities of Large Language Models in Detecting Offensive Language with Annotation Disagreement. - Junyu Lu; Kai Ma; Kaichun Wang; Kelaiti Xiao; Roy Ka-Wei Lee; Bo Xu 009; Liang Yang 003; Hongfei Lin (CoRR, 2025)

IP2: Entity-Guided Interest Probing for Personalized News Recommendation. - Youlin Wu; Yuanyuan Sun 002; Xiaokun Zhang 001; Haoxi Zhan; Bo Xu 009; Liang Yang 003; Hongfei Lin (CoRR, 2025)

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Bowei He; Hongfei Lin; Chen Ma 001; Fenglong Ma (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking contrastive learning in session-based recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Zhizheng Wang; Liang Yang 003; Hongfei Lin (Pattern Recognit., 2026)