Hongyu Chen
Hongyu Chen

Hongyu Chen

Incoming Ph.D. in Biostatistics · City University of Hong Kong

Shenzhen / Hong Kong

Hi, I am Hongyu Chen, an incoming Ph.D. student in Biostatistics at City University of Hong Kong, starting in Sep. 2026, supervised by Prof. Jun Yan. I received my B.Sc. in Marketing from Jinan University and my M.Sc. in Data Science from City University of Hong Kong.

My research focuses on model compression (pruning, quantization, knowledge distillation), recommender systems, and AI for healthcare.

Model Compression Recommender Systems AI for Healthcare Efficient LLMs

Education

Ph.D. in Biostatistics

UGC-Funded
HKAI-Sci, City University of Hong Kong
Supervisor: Prof. Jun Yan

M.Sc. in Data Science

Distinction
College of Computing, City University of Hong Kong
Supervisor: Prof. Xiangyu Zhao, Prof. Maolin Wang
🏆 Outstanding Research Project Award

B.Sc. in Marketing

Jinan University

Research Experience

Research Assistant

HKAI-Sci, City University of Hong Kong
Supervisor: Prof. Jun Yan

Publications

Accepted / Published 4

  • A Serial Two-Stage Framework for Robust Multimodal Fake News Detection via Adaptive Reasoning
    Maolin Wang, Ziting Mai, Zichun Liu, Beining Bao, Hongyu Chen, Junjie Liu, Yunbo Zhang, Bingkun Zhao, Tianshuo Wei, Jian Liu, Chenbin Zhang, Haoran Yang
    ACM SIGKDD 2026CCF-A
  • Deep Tensor Factorization for Modeling Non-Uniform Temporal Dynamics with Adaptive Smoothing
    Hongyu Chen, Beining Bao, Zichun Liu, Tianshuo Wei, Maolin Wang, Xiaopeng Li, Hing Cheung So
    IEEE SAM 2026
  • GRAND: A Robust Diffusion Framework for Multi-Granularity Graph Anomaly Detection in Web Platforms
    Maolin Wang, Beining Bao, Hongyu Chen, Zichun Liu, Lang Fu, Jun Chu, Langzhang Liang, Zenglin Xu
    The Web Conference 2026 (WWW '26)CCF-A
  • Rethinking Semantic–Collaborative Integration: Why Alignment Is Not Enough
    Maolin Wang, Dongze Wu, Jianing Zhou, Hongyu Chen, Beining Bao, Yu Jiang, Chenbin Zhang, Chang Wang, Jian Liu, Lei Sha
    ACM SIGIR 2026CCF-A

Under Review 5

  • When Can a Small Model Cheapen Large-Model Self-Consistency? A Predictive Feasibility Boundary and a Calibrated Stopping Rule
    Hongyu Chen, Bingkun Zhao, Beining Bao, Zhuorui Jiang, Baiyuan Qiu, Yanjun Chen, Maolin Wang
    AAAI 2027Conference Submission
  • Trust-LINE: Uncertainty-Aware Multi-Relational Knowledge Graph Refinement for Robust Prediction
    Beining Bao, Ziting Mai, Zichun Liu, Hongyu Chen, Bingkun Zhao, Tianshuo Wei, Maolin Wang, Jun Yan
    IEEE ICDE 2027CCF-A
  • Unified Generative and Discriminative Retrieval with End-to-End Quantization
    Yongkang Fu, Hongyang Wei, Hongyu Chen (Co-first), Beining Bao, Mengmeng Ge, Zuodong Yang, Zonggang Wu, Yuqi Lu, Shouke Qin, Hanmeng Liu, Shantao Li, Maolin Wang
    ACM SIGIR 2026CCF-A
  • DynaS: Dynamic Negative Sampling Strategy for Multi-modal Recommendation
    Maolin Wang, Xuhui Chen, Hongyu Chen, Zhiqi Li, Binhao Wang, Yejing Wang, Yunpeng Weng, Dugang Liu, Xing Tang, Xiuqiang He, Ruocheng Guo, Xiangyu Zhao
    ACM SIGIR 2026CCF-A
  • Privacy-Preserving Synthetic Clinical Text Generation with Semantic and Information Preservation
    Maolin Wang, Beining Bao, Hongyu Chen, Bingkun Zhao, Baoshuo Kan, Yao Wang, Jun Yan, Wei-Ying Ma
    KDD 2026 · AI4Science TrackCCF-A

Work Experience

Data Analyst Intern

Nanjing Tuoersi Intelligent Co., Ltd.

Skills & Qualifications

Certifications

CFA Level 1 · Passed FRM Level 1 · Passed

Languages

English · CET-4 / CET-6 Chinese · Native Cantonese · Native