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)

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)

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)

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)

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)

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)

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)

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)

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)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong 002; Xiaokun Zhang 001; Yaqing Wang 001; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

Dual Sentiment-aware Networks for Adverse Drug Reactions Detection. - Yunzhi Qiu; Xiaokun Zhang 001; Weiwei Wang; 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)

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)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. - Yuan Zhong 002; Xiaochen Wang 002; Jiaqi Wang 002; Xiaokun Zhang 001; Yaqing Wang 001; Mengdi Huai; Cao Xiao; Fenglong Ma (KDD, 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)

Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection. - Haohao Zhu; Xiaokun Zhang 001; Junyu Lu; Liang Yang 003; Hongfei Lin (NLPCC (4), 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)

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)

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)

Modeling source code in bimodal for program comprehension. - Dongzhen Wen; Xiaokun Zhang 001; Yufeng Diao; Ziyun Zhao; He Jiang; Hongfei Lin (Neural Comput. Appl., 2024)

Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition. - Haohao Zhu; Xiaokun Zhang 001; Zeyuan Zeng; Junyu Lu; Zewen Bai; Liang Yang 003; Hongfei Lin (NAACL (Long Papers), 2025)

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation. - Renqi Jia; Xiaokun Zhang 001; Bowei He; Qiannan Zhu; Weitao Xu; Jiehao Chen; Chen Ma 001 (SDM, 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)

Knowledge enhanced representation learning network for drug recommendation. - Xiaobo Li 007; Xiaodi Hou; Fanjun Meng; Xiaokun Zhang 001; Mingyu Lu; Hongfei Lin; Yi-Jia Zhang 001 (Inf. Process. Manag., 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)

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery. - Bowei He; Lihao Yin; Hui-Ling Zhen; Xiaokun Zhang 001; Mingxuan Yuan; Chen Ma 001 (CoRR, 2025)

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation. - Ziqiang Cui; Yunpeng Weng; Xing Tang 007; Xiaokun Zhang 001; Dugang Liu; Shiwei Li 002; Peiyang Liu; Bowei He; Weihong Luo; Xiuqiang He 001; Chen Ma 001 (CoRR, 2025)

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification. - Yansen Zhang; Bowei He; Xiaokun Zhang 001; Haolun Wu; Zexu Sun; Chen Ma 001 (CoRR, 2025)

Shapley Value-driven Data Pruning for Recommender Systems. - Yansen Zhang; Xiaokun Zhang 001; Ziqiang Cui; Chen Ma 001 (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)