Hongyu Chen

Shenzhen / Hong Kong

Hi, I am Hongyu Chen, a Master’s student in Data Science at City University of Hong Kong, supervised by Prof. Jun Yan, Prof. Xiangyu Zhao, and Prof. Maolin Wang. I received my B.Sc. in Marketing from Jinan University.

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

Education

M.Sc. in Data Science

City University of Hong Kong  |  Sep. 2025 – Present

College of Computing. Supervisor: Prof. Xiangyu Zhao, Prof. Maolin Wang.

B.Sc. in Marketing

Jinan University  |  Sep. 2020 – Jun. 2024

Research Experience

Research Assistant

HKAI-Sci, City University of Hong Kong  |  Jan. 2026 – Present

Supervisor: Prof. Jun Yan

Publications

✅ Accepted

  • 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

📝 Under Review

  • CIRCLE: Context-Aware Disentangled Representation Learning for E-Commerce Search and Recommendation
    Maolin Wang, Hongyu Chen (Student First), Yinuo Ma, Yejing Wang, Chenghui Wu, Qiyuan Shen, Shanshan Ye, Yiqi Wang, Xiao Han, Wanyu Wang, Ruocheng Guo, Xiangyu Zhao
    ACM SIGIR 2026 — CCF-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 2026 — CCF-A
  • Conditional Round-Aware Decoder for Quantum Errors Correction
    Maolin Wang, Hongyu Chen (Student First), Tianyi Xu, Beining Bao, Yanjun Chen, Qianyu Cheng, Ye Wei
    Design Automation Conference (DAC '26) — CCF-A
  • Cost-Aware Routing for Efficient Large Language Model Deployment via Pareto Optimization
    Maolin Wang, Zichun Liu, Bingkun Zhao, Beining Bao, Hongyu Chen, Jian Liu, Chenbin Zhang, Jun Chu, Haoran Yang
    International Conference on Machine Learning (ICML '26) — CCF-A
  • RC-BiT: Rank-1 Compensated Binary Transformer
    Maolin Wang, Xuhui Chen, Hongyu Chen, Kai Li, Tianshuo Wei, Wanyu Wang, Ruocheng Guo, Zenglin Xu, Xiangyu Zhao
    Design Automation Conference (DAC '26) — CCF-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 2026 — CCF-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
  • 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 AI4Sciences Track — CCF-A
  • SonicBench: Dissecting the Physical Perception Bottleneck in Large Audio Language Models
    Yirong Sun, Yanjun Chen, Xin Qiu, Gang Zhang, Hongyu Chen, Daokuan Wu, Chengming Li, Min Yang, Dawei Zhu, Wei Zhang, Xiaoyu Shen
    ACL ARR January 2026 — CCF-A
  • Dynamic Model Collaboration with Calibrated Thresholds: Breaking the Safety-Efficiency Tradeoff in LLMs
    Maolin Wang, Binhao Wang, Beining Bao, Yingyi Zhang, Rungen Liu, Hongyu Chen, Wanyu Wang, Xiao Han, Lixin Zou, Xuetao Wei, Hongzhi Yin, Ruocheng Guo, Xiangyu Zhao
    ACL ARR January 2026 — CCF-A

Work Experience

Data Analyst Intern

Nanjing Tuoersi Intelligent Co., Ltd.  |  Jan. 2024 – Feb. 2024

Skills

Certifications

CFA Level 1 (Passed), FRM Level 1 (Passed)

Language

English (CET-4, CET-6), Chinese (Native), Cantonese (Native)