Xiaokun Zhang

According to our database, Xiaokun Zhang authored at least 38 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking contrastive learning in session-based recommendation.

Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin

Pattern Recognit., 2026

2025

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective.

Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma

IEEE Trans. Knowl. Data Eng., August, 2025

IP2: Entity-Guided Interest Probing for Personalized News Recommendation.

Youlin Wu, Yuanyuan Sun, Xiaokun Zhang, Haoxi Zhan, Bo Xu, Liang Yang, Hongfei Lin

CoRR, July, 2025

Shapley Value-driven Data Pruning for Recommender Systems.

Yansen Zhang, Xiaokun Zhang, Ziqiang Cui, Chen Ma

CoRR, May, 2025

Counterfactual Multi-player Bandits for Explainable Recommendation Diversification.

Yansen Zhang, Bowei He, Xiaokun Zhang, Haolun Wu, Zexu Sun, Chen Ma

CoRR, May, 2025

Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation.

Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Dugang Liu, Shiwei Li, Peiyang Liu, Bowei He, Weihong Luo, Xiuqiang He, Chen Ma

CoRR, March, 2025

PASER: Post-Training Data Selection for Efficient Pruned Large Language Model Recovery.

Bowei He, Lihao Yin, Hui-Ling Zhen, Xiaokun Zhang, Mingxuan Yuan, Chen Ma

CoRR, February, 2025

Continual learning with high-order experience replay for dynamic network embedding.

Zhizheng Wang, Yuanyuan Sun, Xiaokun Zhang, Bo Xu, Zhihao Yang, Hongfei Lin

Pattern Recognit., 2025

Knowledge enhanced representation learning network for drug recommendation.

Xiaobo Li, Xiaodi Hou, Fanjun Meng, Xiaokun Zhang, Mingyu Lu, Hongfei Lin, Yi-Jia Zhang

Inf. Process. Manag., 2025

Is Having Rationales Enough? Rethinking Knowledge Enhancement for Multimodal Hateful Meme Detection.

Junyu Lu, Bo Xu, Xiaokun Zhang, Haohao Zhu, Kaichun Wang, Liang Yang, Hongfei Lin

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Beyond Models! Explainable Data Valuation and Metric Adaption for Recommendation.

Renqi Jia, Xiaokun Zhang, Bowei He, Qiannan Zhu, Weitao Xu, Jiehao Chen, Chen Ma

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition.

Haohao Zhu, Xiaokun Zhang, Zeyuan Zeng, Junyu Lu, Zewen Bai, Liang Yang, Hongfei Lin

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Modeling source code in bimodal for program comprehension.

Dongzhen Wen, Xiaokun Zhang, Yufeng Diao, Ziyun Zhao, He Jiang, Hongfei Lin

Neural Comput. Appl., August, 2024

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin

ACM Trans. Inf. Syst., May, 2024

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation.

Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin

IEEE Trans. Knowl. Data Eng., April, 2024

Enhancing Textual Personality Detection toward Social Media: Integrating Long-term and Short-term Perspectives.

Haohao Zhu, Xiaokun Zhang, Junyu Lu, Youlin Wu, Zewen Bai, Changrong Min, Liang Yang, Bo Xu, Dongyu Zhang, Hongfei Lin

CoRR, 2024

Side Information-Driven Session-based Recommendation: A Survey.

Xiaokun Zhang, Bo Xu, Chenliang Li, Yao Zhou, Liangyue Li, Hongfei Lin

CoRR, 2024

FineRec: Exploring Fine-grained Sequential Recommendation.

Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Disentangling ID and Modality Effects for Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Integrating Multi-view Analysis: Multi-view Mixture-of-Expert for Textual Personality Detection.

Haohao Zhu, Xiaokun Zhang, Junyu Lu, Liang Yang, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Don't Click the Bait: Title Debiasing News Recommendation via Cross-Field Contrastive Learning.

Yijie Shu, Xiaokun Zhang, Youlin Wu, Bo Xu, Liang Yang, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Towards Comprehensive Detection of Chinese Harmful Memes.

Junyu Lu, Bo Xu, Xiaokun Zhang, Hongbo Wang, Haohao Zhu, Dongyu Zhang, Liang Yang, Hongfei Lin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Take Its Essence, Discard Its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect.

Junyu Lu, Bo Xu, Xiaokun Zhang, Kaiyuan Liu, Dongyu Zhang, Liang Yang, Hongfei Lin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Modeling Implicit Emotion and User-specific Context for Malevolence Detection in Mental Health Counseling Dialogues.

Bo Xu, Xuening Qiao, Xiaokun Zhang, Jiahui Wan, Xinyue Liu, Linlin Zong, Hongfei Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Dual Sentiment-aware Networks for Adverse Drug Reactions Detection.

Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Hongfei Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Hate Speech Detection via Dual Contrastive Learning.

Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu

IEEE ACM Trans. Audio Speech Lang. Process., 2023

KESDT: Knowledge Enhanced Shallow and Deep Transformer for Detecting Adverse Drug Reactions.

Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Tongxuan Zhang, Bo Xu, Hongfei Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2023

SEDGCN: Sentiment Enhanced Dual Graph Convolutional Networks for Detecting Adverse Drug Reactions.

Yunzhi Qiu, Xiaokun Zhang, Weiwei Wang, Youlin Wu, Bo Xu, Haifeng Liu, Hongfei Lin

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Facilitating Fine-grained Detection of Chinese Toxic Language: Hierarchical Taxonomy, Resources, and Benchmarks.

Junyu Lu, Bo Xu, Xiaokun Zhang, Changrong Min, Liang Yang, Hongfei Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Dual constraints and adversarial learning for fair recommenders.

Haifeng Liu, Nan Zhao, Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yuan Lin, Wenqi Fan

Knowl. Based Syst., 2022

Perceived individual fairness with a molecular representation for medicine recommendations.

Haifeng Liu, Hongfei Lin, Bo Xu, Nan Zhao, Dongzhen Wen, Xiaokun Zhang, Yuan Lin

Knowl. Based Syst., 2022

Dynamic intent-aware iterative denoising network for session-based recommendation.

Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma

Inf. Process. Manag., 2022

Self-supervised learning for fair recommender systems.

Haifeng Liu, Hongfei Lin, Wenqi Fan, Yuqi Ren, Bo Xu, Xiaokun Zhang, Dongzhen Wen, Nan Zhao, Yuan Lin, Liang Yang

Appl. Soft Comput., 2022

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips.

Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Dual Part-pooling Attentive Networks for Session-based Recommendation.

Xiaokun Zhang, Hongfei Lin, Liang Yang, Bo Xu, Yufeng Diao, Lu Ren

Neurocomputing, 2021