Yongsen Zheng

According to our database, Yongsen Zheng authored at least 21 papers between 2016 and 2025.

Collaborative distances:

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

2025

ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin

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

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation.

Yongjie Bai, Zhouxia Wang, Yang Liu, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin

CoRR, August, 2025

AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay.

Ziyi Tang, Zechuan Chen, Jiarui Yang, Jiayao Mai, Yongsen Zheng, Keze Wang, Jinrui Chen, Liang Lin

CoRR, February, 2025

Threats, Attacks, and Defenses in Machine Unlearning: A Survey.

Ziyao Liu, Huanyi Ye, Chen Chen, Yongsen Zheng, Kwok-Yan Lam

IEEE Open J. Comput. Soc., 2025

Cross-modal Causal Relation Alignment for Video Question Grounding.

Weixing Chen, Yang Liu, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation.

Yongsen Zheng, Jinghui Qin, Pengxu Wei, Ziliang Chen, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., December, 2024

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Chengpei Tang, Liang Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction.

Yang Liu, Binglin Chen, Yongsen Zheng, Guanbin Li, Liang Lin

CoRR, 2024

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.

Xin Jin, Wu Zhou, Jingyu Wang, Duo Xu, Yongsen Zheng

CoRR, 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

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System.

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach.

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan, Liang Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph-Convolved Factorization Machines for Personalized Recommendation.

Yongsen Zheng, Pengxu Wei, Ziliang Chen, Yang Cao, Liang Lin

IEEE Trans. Knowl. Data Eng., 2023

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation.

Xin Jin, Wu Zhou, Jinyu Wang, Duo Xu, Yongsen Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System.

Mingjie Qian, Yongsen Zheng, Jinghui Qin, Liang Lin

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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