Guohua Wang

According to our database, Guohua Wang authored at least 8 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

CIREC: Causal Intervention-Inspired Policy Learning to Mitigate Exposure Bias for Interactive Recommendation.

Yongsen Zheng, Guohua Wang, Jinghui Qin, Ziliang Chen, Junfan Lin, Pengxu Wei, Liang Lin, Kwok-Yan Lam

IEEE Trans. Knowl. Data Eng., January, 2026

2025

Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System.

Yongsen Zheng, Zongxuan Xie, Guohua Wang, Ziyao Liu, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System.

Yongsen Zheng, Mingjie Qian, Guohua Wang, Yang Liu, Ziliang Chen, Mingzhi Mao, Liang Lin, Kwok-Yan Lam

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection.

Guohua Wang, Shengping Song, Wuchun He, Yongsen Zheng

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation.

Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Guohua Wang, Liang Lin, Kwok-Yan Lam

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation.

Yongsen Zheng, Ruilin Xu, Ziliang Chen, Guohua Wang, Mingjie Qian, Jinghui Qin, Liang Lin

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

2016

Far-infrared pedestrians detection based on adaptive template matching and heterogeneous-feature-based classification.

Guohua Wang, Qiong Liu, Yongsen Zheng, Shaowu Peng

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2016