Cheng Ling - RankMe

34 papers A* 3A 2B 3C 1Misc 1Journal 12Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Enhancing Sequential Recommender with Large Language Models for Joint Video and Comment Recommendation. RecSys Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Han Li, Wayne Xin Zhao, Ji-Rong Wen
2025	A*	`conf`	Generative Recommender with End-to-End Learnable Item Tokenization. SIGIR Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
2024	J	`jnl`	A Large Language Model Enhanced Sequential Recommender for Joint Video and Comment Recommendation. CoRR Bowen Zheng, Zihan Lin, Enze Liu, Chen Yang, Enyang Bai, Cheng Ling, Wayne Xin Zhao, Ji-Rong Wen
2024	J	`jnl`	End-to-End Learnable Item Tokenization for Generative Recommendation. CoRR Enze Liu, Bowen Zheng, Cheng Ling, Lantao Hu, Han Li, Wayne Xin Zhao
2024	A*	`conf`	Modeling User Fatigue for Sequential Recommendation. SIGIR Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
2024	J	`jnl`	Modeling User Fatigue for Sequential Recommendation. CoRR Nian Li, Xin Ban, Cheng Ling, Chen Gao, Lantao Hu, Peng Jiang, Kun Gai, Yong Li, Qingmin Liao
2022	A	`conf`	Multi-granularity Fatigue in Recommendation. CIKM Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
2021	J	`jnl`	Cnngeno: A high-precision deep learning based strategy for the calling of structural variation genotype. Comput. Biol. Chem. Ruofei Bai, Cheng Ling, Lei Cai, Jingyang Gao
2020	—	`conf`	A novel synonymous processing method based on amino acid substitution matrics for the classification of G-protein-coupled receptors. BIBM Cheng Ling, Yitian Shen, Jingyang Gao
2020	A*	`conf`	Deep Feedback Network for Recommendation. IJCAI Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
2020	J	`jnl`	Deep Neighbor Information Learning From Evolution Trees for Phylogenetic Likelihood Estimates. IEEE Access Cheng Ling, Wenhao Cheng, Haoyu Zhang, Hanhao Zhu, Hua Zhang
2020	J	`jnl`	Fast Representative Sampling in Large-Scale Online Social Networks. IEEE Access Guangren Cai, Gang Lu, Junxia Guo, Cheng Ling, Ruiqi Li
2020	—	`conf`	The Likelihood Prediction of Phylogenetic Trees based on Artificial Neural Network: a new perspective and preliminary attempt. BIBM Mingyan Li, Cheng Ling
2019	—	`conf`	CnnSV-Typer: Calling of Structural Variation Genotype Based on CUDA Acceleration. HPCC/SmartCity/DSS Ruofei Bai, Liwei Gao, Cheng Ling, Jingyang Gao
2018	J	`jnl`	A Piecewise Linear Strategy of Target Detection for Multispectral/Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiurui Geng, Weitun Yang, Luyan Ji, Cheng Ling, Suixin Yang
2018	—	`conf`	Classification of G-protein Coupled Receptors Based on Semi-navïe Bayesian Inference. BIBM Cheng Ling, Lin Yue, Jing-Yang Gao
2018	J	`jnl`	Deletion genotype calling on the basis of sequence visualisation and image classification. Int. J. Data Min. Bioinform. Jing Wang, Jing-Yang Gao, Cheng Ling
2018	—	`conf`	GPU Parallelism of Phylogenetic Likelihood Estimates for Protein Data. HPCC/SmartCity/DSS Yichan Li, Jing-Yang Gao, Cheng Ling, Haoyu Zhang
2018	—	`conf`	cnnCNV: A Sensitive and Efficient Method for Detecting Copy Number Variation based on Convolutional Neural Networks. BIBM Miaosen Ding, Jing-Yang Gao, Cheng Ling, Liwei Gao
2017	C	`conf`	An efficient CNN-based classification on G-protein Coupled Receptors using TF-IDF and N-gram. ISCC Man Li, Cheng Ling, Jing-Yang Gao
2017	J	`jnl`	基于特征挖掘的基因组缺失变异集成检测方法 (Integrated Feature Mining Based Approach for Calling Genomic Deletions). 计算机科学 Xiaodong Zhang, Cheng Ling, Jingyang Gao
2016	—	`conf`	A high-precision shallow Convolutional Neural Network based strategy for the detection of Genomic Deletions. BIBM Jing Wang, Cheng Ling, Jing-Yang Gao
2016	B	`conf`	MrBayes 3.2.6 on Tianhe-1A: A High Performance and Distributed Implementation of Phylogenetic Analysis. ICPADS Cheng Ling, Arong Luo, Jing-Yang Gao
2016	J	`jnl`	MrBayes tgMC IEEE ACM Trans. Comput. Biol. Bioinform. Cheng Ling, Tsuyoshi Hamada, Jing-Yang Gao, Guoguang Zhao, Donghong Sun, Weifeng Shi
2016	—	`conf`	Phylogenetic Likelihood Estimation on GPUs Using Vertical Partitioning Scheme. Trustcom/BigDataSE/ISPA Cheng Ling, Jing-Yang Gao, Gang Lu
2015	B	`conf`	Optimizing the Bayesian Inference of Phylogeny on Graphic Processors. CCGRID Cheng Ling, Chunbao Zhou, Arong Luo, Guoguang Zhao, Tsuyoshi Hamada, Xiaoyan Zhu
2015	B	`conf`	SparkSW: Scalable Distributed Computing System for Large-Scale Biological Sequence Alignment. CCGRID Guoguang Zhao, Cheng Ling, Donghong Sun
2012	J	`jnl`	High Performance Biological Pairwise Sequence Alignment: FPGA versus GPU versus Cell BE versus GPP. Int. J. Reconfigurable Comput. Khaled Benkrid, Ali Akoglu, Cheng Ling, Yang Song, Ying Liu, Xiang Tian
2012	J	`jnl`	High performance phylogenetic analysis on CUDA-compatible GPUs. SIGARCH Comput. Archit. News Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada
2011	—	`conf`	An FPGA-based parameterised and scalable optimal solutions for pairwise biological sequence analysis. AHS Mohd Nazrin Md. Isa, Khaled Benkrid, Thomas Clayton, Cheng Ling, Ahmet T. Erdogan
2011	—	`conf`	High performance Intra-task parallelization of Multiple Sequence Alignments on CUDA-compatible GPUs. AHS Cheng Ling, Khaled Benkrid, Ahmet T. Erdogan
2010	Misc	`conf`	Design and implementation of a CUDA-compatible GPU-based core for gapped BLAST algorithm. ICCS Cheng Ling, Khaled Benkrid
2010	—	`conf`	Highly efficient mapping of the Smith-Waterman algorithm on CUDA-compatible GPUs. ASAP Keisuke Dohi, Khaled Benkrid, Cheng Ling, Tsuyoshi Hamada, Yuichiro Shibata
2009	—	`conf`	A parameterisable and scalable Smith-Waterman algorithm implementation on CUDA-compatible GPUs. SASP Cheng Ling, Khaled Benkrid, Tsuyoshi Hamada