Far-infrared pedestrians detection based on adaptive template matching and heterogeneous-feature-based classification. - Guohua Wang; Qiong Liu; Yongsen Zheng; Shaowu Peng (I2MTC, 2016)

HutCRS: Hierarchical User-Interest Tracking for Conversational Recommender System. - Mingjie Qian; Yongsen Zheng; Jinghui Qin; Liang Lin (EMNLP, 2023)

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation. - Xin Jin 015; Wu Zhou; Jinyu Wang; Duo Xu 004; Yongsen Zheng (ACM Multimedia, 2023)

Graph-Convolved Factorization Machines for Personalized Recommendation. - Yongsen Zheng; Pengxu Wei; Ziliang Chen 001; Yang Cao; Liang Lin (IEEE Trans. Knowl. Data Eng., 2023)

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach. - Ziliang Chen 001; Yongsen Zheng; Zhao-Rong Lai; Quanlong Guan; Liang Lin (AAAI, 2024)

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System. - Yongsen Zheng; Ziliang Chen 001; Jinghui Qin; Liang Lin (AAAI, 2024)

HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation. - Yongsen Zheng; Ruilin Xu 006; Ziliang Chen 001; Guohua Wang; Mingjie Qian; Jinghui Qin; Liang Lin (ACL (1), 2024)

Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation. - Yongsen Zheng; Ruilin Xu 006; Guohua Wang; Liang Lin; Kwok-Yan Lam (EMNLP, 2024)

Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation. - Yongsen Zheng; Guohua Wang; Yang Liu 084; Liang Lin (ACM Multimedia, 2024)

An Order-Complexity Aesthetic Assessment Model for Aesthetic-aware Music Recommendation. - Xin Jin 015; Wu Zhou; Jingyu Wang; Duo Xu 004; Yongsen Zheng (CoRR, 2024)

Fine-grained Spatial-temporal MLP Architecture for Metro Origin-Destination Prediction. - Yang Liu 084; Binglin Chen; Yongsen Zheng; Guanbin Li; Liang Lin (CoRR, 2024)

Routing User-Interest Markov Tree for Scalable Personalized Knowledge-Aware Recommendation. - Yongsen Zheng; Pengxu Wei; Ziliang Chen 001; Chengpei Tang; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

CIPL: Counterfactual Interactive Policy Learning to Eliminate Popularity Bias for Online Recommendation. - Yongsen Zheng; Jinghui Qin; Pengxu Wei; Ziliang Chen 001; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2024)

CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection. - Guohua Wang; Shengping Song; Wuchun He; Yongsen Zheng (ACL (1), 2025)

HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System. - Yongsen Zheng; Mingjie Qian; Guohua Wang; Yang Liu 084; Ziliang Chen 001; Mingzhi Mao; Liang Lin; Kwok-Yan Lam (ACL (Findings), 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 (ACL (Findings), 2025)

Cross-modal Causal Relation Alignment for Video Question Grounding. - Weixing Chen; Yang Liu 084; Binglin Chen; Jiandong Su; Yongsen Zheng; Liang Lin (CVPR, 2025)

Threats, Attacks, and Defenses in Machine Unlearning: A Survey. - Ziyao Liu; Huanyi Ye; Chen Chen 115; Yongsen Zheng; Kwok-Yan Lam (IEEE Open J. Comput. Soc., 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, 2025)

Learning to See and Act: Task-Aware View Planning for Robotic Manipulation. - Yongjie Bai; Zhouxia Wang; Yang Liu 084; Weixing Chen; Ziliang Chen 001; Mingtong Dai; Yongsen Zheng; Lingbo Liu; Guanbin Li; Liang Lin (CoRR, 2025)

ODMixer: Fine-Grained Spatial-Temporal MLP for Metro Origin-Destination Prediction. - Yang Liu 084; Binglin Chen; Yongsen Zheng; Lechao Cheng; Guanbin Li; Liang Lin (IEEE Trans. Knowl. Data Eng., 2025)