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Yongsen Zheng

12 papers at tracked venues · 11 at CORE A* · active 2024–2026

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Venues

ACL ×5AAAI ×2ACM MM ×1CVPR ×1EMNLP ×1NeurIPS ×1SIGKDD ×1

Frequent coauthors

Liang Lin
×10
Guohua Wang
×6
Ziliang Chen
×5
Kwok-Yan Lam
×4
Yang Liu
×4
Mingjie Qian
×2
Zhao-Rong Lai
×2
Jinghui Qin
×2
Ruilin Xu
×2
Clement Neo
×1
Luke Ong
×1
Ziyi Tang
×1

Papers

  1. Spectra: A Mechanistic Interpretability Library for Vision-Language Models
    ACL 2026 ·
    Clement Neo
    , Yongsen Zheng,
    Kwok-Yan Lam
    ,
    Luke Ong
  2. AlphaAgent: LLM-Driven Alpha Mining with Regularized Exploration to Counteract Alpha Decay
    SIGKDD 2025 ·
    Ziyi Tang
    ,
    Zechuan Chen
    ,
    Jiarui Yang
    ,
    Jiayao Mai
    , Yongsen Zheng,
    Keze Wang
    ,
    Jinrui Chen
    ,
    Liang Lin
  3. CMHKF: Cross-Modality Heterogeneous Knowledge Fusion for Weakly Supervised Video Anomaly Detection
    ACL 2025 ·
    Guohua Wang
    ,
    Shengping Song
    ,
    Wuchun He
    , Yongsen Zheng
  4. Cross-modal Causal Relation Alignment for Video Question Grounding
    CVPR 2025 ·
    Weixing Chen
    ,
    Yang Liu
    ,
    Binglin Chen
    ,
    Jiandong Su
    , Yongsen Zheng,
    Liang Lin
  5. HyperCRS: Hypergraph-Aware Multi-Grained Preference Learning to Burst Filter Bubbles in Conversational Recommendation System
    ACL 2025 · Yongsen Zheng,
    Mingjie Qian
    ,
    Guohua Wang
    ,
    Yang Liu
    ,
    Ziliang Chen
    ,
    Mingzhi Mao
    ,
    Liang Lin
    ,
    Kwok-Yan Lam
  6. Quadratic Coreset Selection: Certifying and Reconciling Sequence and Token Mining for Efficient Instruction Tuning
    NeurIPS 2025 ·
    Ziliang Chen
    , Yongsen Zheng,
    Zhao-Rong Lai
    ,
    Zhanfu Yang
    ,
    Cuixi Li
    ,
    Yang Liu
    ,
    Liang Lin
  7. Why Multi-Interest Fairness Matters: Hypergraph Contrastive Multi-Interest Learning for Fair Conversational Recommender System
    ACL 2025 · Yongsen Zheng,
    Zongxuan Xie
    ,
    Guohua Wang
    ,
    Ziyao Liu
    ,
    Liang Lin
    ,
    Kwok-Yan Lam
  8. Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
    AAAI 2024 ·
    Ziliang Chen
    , Yongsen Zheng,
    Zhao-Rong Lai
    ,
    Quanlong Guan
    ,
    Liang Lin
  9. Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation
    ACM MM 2024 · Yongsen Zheng,
    Guohua Wang
    ,
    Yang Liu
    ,
    Liang Lin
  10. FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System
    AAAI 2024 · Yongsen Zheng,
    Ziliang Chen
    ,
    Jinghui Qin
    ,
    Liang Lin
  11. HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation
    ACL 2024 · Yongsen Zheng,
    Ruilin Xu
    ,
    Ziliang Chen
    ,
    Guohua Wang
    ,
    Mingjie Qian
    ,
    Jinghui Qin
    ,
    Liang Lin
  12. Mitigating Matthew Effect: Multi-Hypergraph Boosted Multi-Interest Self-Supervised Learning for Conversational Recommendation
    EMNLP 2024 · Yongsen Zheng,
    Ruilin Xu
    ,
    Guohua Wang
    ,
    Liang Lin
    ,
    Kwok-Yan Lam