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Jeffrey Chan

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

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Venues

SIGIR ×4AAAI ×2CIKM ×2WWW ×2CHI ×1ECAI ×1ECML-PKDD ×1ICDE ×1NeurIPS ×1RecSys ×1

Frequent coauthors

Ziqi Xu
×7
Chenglong Ma
×6
Danula Hettiachchi
×5
Mark Sanderson
×4
Yongli Ren
×4
Flora D. Salim
×3
Xinye Wanyan
×3
Lam Ngo
×3
Huong Ha
×3
Hongyu Zhang
×3
Yueqing Xuan
×2
Kacper Sokol
×2

Papers

  1. Applying Value Sensitive Design to Location-Based Services: Designing for Shared Spaces and Local Conditions
    CHI 2026 ·
    Hiruni Nuwanthika Kegalle
    ,
    Flora D. Salim
    ,
    Mark Sanderson
    , Jeffrey Chan,
    Danula Hettiachchi
  2. Diversity-Augmented Negative Sampling for Implicit Collaborative Filtering
    WWW 2026 ·
    Yueqing Xuan
    ,
    Kacper Sokol
    ,
    Mark Sanderson
    , Jeffrey Chan
  3. Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models
    AAAI 2026 ·
    Vy Nguyen
    ,
    Ziqi Xu
    , Jeffrey Chan,
    Estrid He
    ,
    Feng Xia
    ,
    Xiuzhen Zhang
  4. Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
    SIGIR 2026 ·
    Yaqi Yang
    ,
    Ziqi Xu
    ,
    Jie Li
    ,
    Chenglong Ma
    , Jeffrey Chan,
    Mark Sanderson
    ,
    Xin Zheng
    ,
    Yongli Ren
  5. Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models
    SIGIR 2026 ·
    Xinye Wanyan
    ,
    Chenglong Ma
    ,
    Danula Hettiachchi
    ,
    Ziqi Xu
    , Jeffrey Chan
  6. Verifiable User Simulation for Search and Recommendation Systems
    SIGIR 2026 ·
    Chenglong Ma
    ,
    Xinye Wanyan
    ,
    Danula Hettiachchi
    ,
    Ziqi Xu
    ,
    Yongli Ren
    , Jeffrey Chan
  7. BOIDS: High-Dimensional Bayesian Optimization via Incumbent-Guided Direction Lines and Subspace Embeddings
    AAAI 2025 ·
    Lam Ngo
    ,
    Huong Ha
    , Jeffrey Chan,
    Hongyu Zhang
  8. Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
    CIKM 2025 ·
    Yueqing Xuan
    ,
    Kacper Sokol
    ,
    Mark Sanderson
    , Jeffrey Chan
  9. MOBO-OSD: Batch Multi-Objective Bayesian Optimization via Orthogonal Search Directions
    NeurIPS 2025 ·
    Lam Ngo
    ,
    Huong Ha
    , Jeffrey Chan,
    Hongyu Zhang
  10. MOCA-HESP: Meta High-Dimensional Bayesian Optimization for Combinatorial and Mixed Spaces via Hyper-Ellipsoid Partitioning
    ECAI 2025 ·
    Lam Ngo
    ,
    Huong Ha
    , Jeffrey Chan,
    Hongyu Zhang
  11. PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
    SIGIR 2025 ·
    Chenglong Ma
    ,
    Ziqi Xu
    ,
    Yongli Ren
    ,
    Danula Hettiachchi
    , Jeffrey Chan
  12. Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems
    CIKM 2025 ·
    Xinye Wanyan
    ,
    Danula Hettiachchi
    ,
    Chenglong Ma
    ,
    Ziqi Xu
    , Jeffrey Chan
  13. Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory
    WWW 2025 ·
    Ziqi Xu
    ,
    Chenglong Ma
    ,
    Yongli Ren
    , Jeffrey Chan,
    Wei Shao
    ,
    Feng Xia
  14. CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework
    RecSys 2024 ·
    Francis Zac dela Cruz
    ,
    Flora D. Salim
    ,
    Yonchanok Khaokaew
    , Jeffrey Chan
  15. Complex Event Summarization Using Multi-Social Attribute Correlation (Extended Abstract)
    ICDE 2024 ·
    Xi Chen
    ,
    Xiangmin Zhou
    , Jeffrey Chan,
    Lei Chen
    ,
    Timos Sellis
    ,
    Yanchun Zhang
  16. Long-Term Fairness in Ride-Hailing Platform
    ECML-PKDD 2024 ·
    Yufan Kang
    , Jeffrey Chan,
    Wei Shao
    ,
    Flora D. Salim
    ,
    Christopher Leckie