| 2025 | RecSys | Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. | Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | SIGIR | Generative Recommender with End-to-End Learnable Item Tokenization. | Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao |
| 2024 | SIGIR | Modeling User Fatigue for Sequential Recommendation. | Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao |
| 2022 | CIKM | Multi-granularity Fatigue in Recommendation. | Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin |
| 2020 | IJCAI | Deep Feedback Network for Recommendation. | Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin |
| 2019 | HPCC | CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration. | Ruofei Bai, Liwei Gao, Cheng Ling, Jingyang Gao |
| 2018 | HPCC | GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data. | Yichan Li, Jing-Yang Gao, Cheng Ling, Haoyu Zhang |
| 2017 | ISCC | An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. | Man Li, Cheng Ling, Jing-Yang Gao |
| 2016 | ICPADS | MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. | Cheng Ling, Arong Luo, Jing-Yang Gao |
| 2016 | TrustCom | Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. | Cheng Ling, Jing-Yang Gao, Gang Lu |
| 2015 | CCGRID | Optimizing the Bayesian Inference of Phylogeny on Graphic Processors. | Cheng Ling, Chunbao Zhou, Arong Luo, Guoguang Zhao, Tsuyoshi Hamada, Xiaoyan Zhu |
| 2015 | CCGRID | SparkSW: Scalable Distributed Computing System for Large-Scale Biological Sequence Alignment. | Guoguang Zhao, Cheng Ling, Donghong Sun |