| 2026 | AAAI | GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI. | Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He |
| 2026 | AAAI | S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision. | Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu |
| 2026 | SIGIR | Verifiable User Simulation for Search and Recommendation Systems. | Chenglong Ma, Xinye Wanyan, Danula Hettiachchi, Ziqi Xu, Yongli Ren, Jeffrey Chan |
| 2026 | SIGIR | Understanding and Modeling Heterogeneous Search Behavior. | Nuha Abu Onq, Chenglong Ma, Mark Sanderson, Falk Scholer |
| 2026 | SIGIR | Task-Aware Automated User Profile Generation for Recommendation Simulation Using Large Language Models. | Xinye Wanyan, Chenglong Ma, Danula Hettiachchi, Ziqi Xu, Jeffrey Chan |
| 2026 | SIGIR | Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting. | Yaqi Yang, Ziqi Xu, Jie Li, Chenglong Ma, Jeffrey Chan, Mark Sanderson, Xin Zheng, Yongli Ren |
| 2025 | CIKM | Temporal-Aware User Behaviour Simulation with Large Language Models for Recommender Systems. | Xinye Wanyan, Danula Hettiachchi, Chenglong Ma, Ziqi Xu, Jeffrey Chan |
| 2025 | MICCAI | Towards Interpretable Counterfactual Generation via Multimodal Autoregression. | Chenglong Ma, Yuanfeng Ji, Jin Ye, Lu Zhang, Ying Chen, Tianbin Li, Mingjie Li, Junjun He, Hongming Shan |
| 2025 | WWW | Towards Better Evaluation of Recommendation Algorithms with Bi-directional Item Response Theory. | Ziqi Xu, Chenglong Ma, Yongli Ren, Jeffrey Chan, Wei Shao, Feng Xia |
| 2025 | SIGIR | PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation. | Chenglong Ma, Ziqi Xu, Yongli Ren, Danula Hettiachchi, Jeffrey Chan |
| 2024 | WWW | Temporal Conformity-aware Hawkes Graph Network for Recommendations. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2023 | ICCV | Learning to Distill Global Representation for Sparse-View CT. | Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan |
| 2023 | MICCAI | FreeSeed: Frequency-Band-Aware and Self-guided Network for Sparse-View CT Reconstruction. | Chenglong Ma, Zilong Li, Junping Zhang, Yi Zhang, Hongming Shan |
| 2022 | CIKM | NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2022 | MICCAI | Self Pre-training with Single-Scale Adapter for Left Atrial Segmentation. | Can Tu, Ziyan Huang, Zhongying Deng, Yuncheng Yang, Chenglong Ma, Junjun He, Jin Ye, Haoyu Wang, Xiaowei Ding |
| 2022 | SIGIR | Evaluation of Herd Behavior Caused by Population-scale Concept Drift in Collaborative Filtering. | Chenglong Ma, Yongli Ren, Pablo Castells, Mark Sanderson |
| 2015 | FAW | Social Models and Algorithms for Optimization of Contact Immunity of Oral Polio Vaccine. | Chengwei Guo, Chenglong Ma, Shengyu Zhang |
| 2015 | NAACL | Distributional Representations of Words for Short Text Classification. | Chenglong Ma, Weiqun Xu, Peijia Li, Yonghong Yan |