Yongchao Liu - RankMe

99 papers A* 10A 6B 3C 3Journal 58Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging Academia and Industry: A Comprehensive Benchmark for Attributed Graph Clustering. CoRR Yunhui Liu, Pengyu Qiu, Yu Xing, Yongchao Liu, Peng Du, Chuntao Hong, Jiajun Zheng, Tao Zheng, Tieke He
2026	J	`jnl`	Graph Retrieval-Augmented Generation: A Survey. ACM Trans. Inf. Syst. Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2026	—	`conf`	Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning. KDD (1) Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026	J	`jnl`	Learning Hierarchical Knowledge in Text-Rich Networks with Taxonomy-Informed Representation Learning. CoRR Yunhui Liu, Yongchao Liu, Yinfeng Chen, Chuntao Hong, Tao Zheng, Tieke He
2026	A*	`conf`	M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. AAAI Chuan He, Yongchao Liu, Qiang Li, Chuntao Hong, Wenliang Zhong, Xin-Wei Yao
2026	J	`jnl`	Query as Anchor: Scenario-Adaptive User Representation via Large Language Model. CoRR Jiahao Yuan, Yike Xu, Jinyong Wen, Baokun Wang, Ziyi Gao, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie
2026	A*	`conf`	Tabular Foundation Models are Strong Graph Anomaly Detectors. WWW Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2026	J	`jnl`	Tabular Foundation Models are Strong Graph Anomaly Detectors. CoRR Yunhui Liu, Tieke He, Yongchao Liu, Can Yi, Hong Jin, Chuntao Hong
2026	J	`jnl`	Text2GQL-Bench: A Text to Graph Query Language Benchmark [Experiment, Analysis & Benchmark]. CoRR Songlin Lyu, Lujie Ban, Zihang Wu, Tianqi Luo, Jirong Liu, Chenhao Ma, Yuyu Luo, Nan Tang, Shipeng Qi, Heng Lin, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	Building Robust and Trustworthy HGNN Models: A Learnable Threshold Approach for Node Classification. ACM Trans. Knowl. Discov. Data Li Ma, Yongchao Liu, Xiaofeng Gao, Peng Zhang, Chuntao Hong
2025	J	`jnl`	Community Detection in Heterogeneous Information Networks Without Materialization. Proc. ACM Manag. Data Jiaxin Jiang, Siyuan Yao, Yuhang Chen, Bingsheng He, Yudong Niu, Yuchen Li, Shixuan Sun, Yongchao Liu
2025	J	`jnl`	Distributed Graph Neural Network Inference With Just-In-Time Compilation For Industry-Scale Graphs. CoRR Xiabao Wu, Yongchao Liu, Wei Qin, Chuntao Hong
2025	J	`jnl`	Exploring the Potential of Large Language Models as Predictors in Dynamic Text-Attributed Graphs. CoRR Runlin Lei, Jiarui Ji, Haipeng Ding, Lu Yi, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. CoRR Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	Gem: Scalable Monotonic Graph Processing Beyond Billion-Scale on a Single Machine. Proc. ACM Manag. Data Chengying Huan, Zhengyi Yang, Haoshen Yang, Shaonan Ma, Rong Gu, Fang Xi, Yongchao Liu, Guihai Chen, Chen Tian
2025	—	`conf`	Graph Triple Attention Networks: A Decoupled Perspective. KDD (1) Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2025	A*	`conf`	GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. WWW Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2025	J	`jnl`	GraphGen+: Advancing Distributed Subgraph Generation and Graph Learning On Industrial Graphs. CoRR Yue Jin, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	Instruction-aware User Embedding via Synergistic Language and Representation Modeling. CoRR Ziyi Gao, Yike Xu, Jiahao Yuan, Baokun Wang, Jinyong Wen, Xiaotong Lin, Yun Liu, Xing Fu, Yu Cheng, Yongchao Liu, Weiqiang Wang, Zhongle Xie
2025	J	`jnl`	Learning Unified User Quantized Tokenizers for User Representation. CoRR Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao
2025	J	`jnl`	M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. CoRR Chuan He, Yongchao Liu, Qiang Li, Wenliang Zhong, Chuntao Hong, Xin Yao
2025	—	`conf`	Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. KDD (2) Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xing Fu, Xinyi Fu, Chuntao Hong, Xinwei Yao
2025	—	`conf`	M³GQA: A Multi-Entity Multi-Hop Multi-Setting Graph Question Answering Benchmark. ACL (1) Boci Peng, Yongchao Liu, Xiaohe Bo, Jiaxin Guo, Yun Zhu, Xuanbo Fan, Chuntao Hong, Yan Zhang
2025	J	`jnl`	Rethinking and Benchmarking Large Language Models for Graph Reasoning. CoRR Yuwei Hu, Xinyi Huang, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	Robustness in Text-Attributed Graph Learning: Insights, Trade-offs, and New Defenses. CoRR Runlin Lei, Lu Yi, Mingguo He, Pengyu Qiu, Zhewei Wei, Yongchao Liu, Chuntao Hong
2025	J	`jnl`	Scaling Graph Chain-of-Thought Reasoning: A Multi-Agent Framework with Efficient LLM Serving. CoRR Chengying Huan, Ziheng Meng, Yongchao Liu, Zhengyi Yang, Yun Zhu, Yue Yun, Shipeng Li, Rong Gu, Xiabao Wu, Haitao Zhang, Chuntao Hong, Shaonan Ma, Guihai Chen, Chen Tian
2025	A*	`conf`	TeMatch: A Fast Temporal Subgraph Matching Framework with Temporal-Aware Subgraph Matching Algorithms. ICDE Chengying Huan, Heng Zhang, Yongchao Liu, Likang Chen, Xuran Wang, Yongchun Jiang, Shaonan Ma, Yanjun Wu
2025	—	`conf`	Transferable and Forecastable User Targeting Foundation Model. WWW (Companion Volume) Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong
2024	J	`jnl`	CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding. CoRR Yang Liu, Chuan Zhou, Peng Zhang, Yanan Cao, Yongchao Liu, Zhao Li, Hongyang Chen
2024	—	`conf`	DiVerFed: Distribution-Aware Vertical Federated Learning for Missing Information. KSEM (3) Pengyu Qiu, Yongchao Liu, Xintan Zeng
2024	J	`jnl`	Graph Retrieval-Augmented Generation: A Survey. CoRR Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2024	J	`jnl`	Graph Triple Attention Network: A Decoupled Perspective. CoRR Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2024	J	`jnl`	GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. CoRR Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2024	—	`conf`	GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024	J	`jnl`	GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. CoRR Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024	A*	`conf`	Integer Is Enough: When Vertical Federated Learning Meets Rounding. AAAI Pengyu Qiu, Yuwen Pu, Yongchao Liu, Wenyan Liu, Yun Yue, Xiaowei Zhu, Lichun Li, Jinbao Li, Shouling Ji
2024	J	`jnl`	Multi-Grained Preference Enhanced Transformer for Multi-Behavior Sequential Recommendation. CoRR Chuan He, Yongchao Liu, Qiang Li, Weiqiang Wang, Xin Fu, Xinyi Fu, Chuntao Hong, Xin Yao
2024	—	`conf`	Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. ECML/PKDD (6) Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang
2024	J	`jnl`	Subgraph Retrieval Enhanced by Graph-Text Alignment for Commonsense Question Answering. CoRR Boci Peng, Yongchao Liu, Xiaohe Bo, Sheng Tian, Baokun Wang, Chuntao Hong, Yan Zhang
2024	J	`jnl`	TeGraph+: Scalable Temporal Graph Processing Enabling Flexible Edge Modifications. IEEE Trans. Parallel Distributed Syst. Chengying Huan, Yongchao Liu, Heng Zhang, Hang Liu, Shiyang Chen, Shuaiwen Leon Song, Yanjun Wu
2024	J	`jnl`	Transferable and Forecastable User Targeting Foundation Model. CoRR Bin Dou, Baokun Wang, Yun Zhu, Xiaotong Lin, Yike Xu, Xiaorui Huang, Yang Chen, Yun Liu, Shaoshuai Han, Yongchao Liu, Tianyi Zhang, Yu Cheng, Weiqiang Wang, Chuntao Hong
2024	J	`jnl`	UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2023	A	`conf`	FAF: A Risk Detection Framework on Industry-Scale Graphs. CIKM Yice Luo, Guannan Wang, Yongchao Liu, Jiaxin Yue, Weihong Cheng, Binjie Fei
2023	B	`conf`	G-Sparse: Compiler-Driven Acceleration for Generalized Sparse Computation for Graph Neural Networks on Modern GPUs. PACT Yue Jin, Chengying Huan, Heng Zhang, Yongchao Liu, Shuaiwen Leon Song, Rui Zhao, Yao Zhang, Changhua He, Wenguang Chen
2023	A*	`conf`	Multi-Aspect Heterogeneous Graph Augmentation. WWW Yuchen Zhou, Yanan Cao, Yongchao Liu, Yanmin Shang, Peng Zhang, Zheng Lin, Yun Yue, Baokun Wang, Xing Fu, Weiqiang Wang
2023	A*	`conf`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. KDD Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
2023	J	`jnl`	Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term. CoRR Yun Yue, Jiadi Jiang, Zhiling Ye, Ning Gao, Yongchao Liu, Ke Zhang
2023	A	`conf`	TEA: A General-Purpose Temporal Graph Random Walk Engine. EuroSys Chengying Huan, Shuaiwen Leon Song, Santosh Pandey, Hang Liu, Yongchao Liu, Baptiste Lepers, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu
2022	A	`conf`	Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. ICS Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song
2022	B	`conf`	T-GCN: A Sampling Based Streaming Graph Neural Network System with Hybrid Architecture. PACT Chengying Huan, Shuaiwen Leon Song, Yongchao Liu, Heng Zhang, Hang Liu, Charles He, Kang Chen, Jinlei Jiang, Yongwei Wu
2022	A*	`conf`	TeGraph: A Novel General-Purpose Temporal Graph Computing Engine. ICDE Chengying Huan, Hang Liu, Mengxing Liu, Yongchao Liu, Changhua He, Kang Chen, Jinlei Jiang, Yongwei Wu, Shuaiwen Leon Song
2021	—	`conf`	Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. ECML/PKDD (3) Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021	J	`jnl`	Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction. CoRR Yun Yue, Yongchao Liu, Suo Tong, Minghao Li, Zhen Zhang, Chunyang Wen, Huanjun Bao, Lihong Gu, Jinjie Gu, Yixiang Mu
2021	A*	`conf`	Heterogeneous Graph Neural Architecture Search. ICDM Yang Gao, Peng Zhang, Zhao Li, Chuan Zhou, Yongchao Liu, Yue Hu
2021	A*	`conf`	Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021	J	`jnl`	Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang
2021	J	`jnl`	Taking the Pulse of Financial Activities with Online Graph Processing. ACM SIGOPS Oper. Syst. Rev. Xiaowei Zhu, Zhisong Fu, Zhenxuan Pan, Jin Jiang, Chuntao Hong, Yongchao Liu, Yang Fang, Wenguang Chen, Changhua He
2019	J	`jnl`	Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. IEEE ACM Trans. Comput. Biol. Bioinform. Tony Pan, Patrick Flick, Chirag Jain, Yongchao Liu, Srinivas Aluru
2018	J	`jnl`	LightSpMV: Faster CUDA-Compatible Sparse Matrix-Vector Multiplication Using Compressed Sparse Rows. J. Signal Process. Syst. Yongchao Liu, Bertil Schmidt
2017	J	`jnl`	A greedy alignment-free distance estimator for phylogenetic inference. BMC Bioinform. Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Ambujam Krishnan, Srinivas Aluru
2017	J	`jnl`	AFS: identification and quantification of species composition by metagenomic sequencing. Bioinform. Yongchao Liu, Fabian Ripp, Rene Koeppel, Hanno Schmidt, Sören Lukas Hellmann, Mathias Weber, Christopher Felix Krombholz, Bertil Schmidt, Thomas Hankeln
2017	—	`ch.`	CUSHAW Suite: Parallel and Efficient Algorithms for NGS Read Alignment. Algorithms for Next-Generation Sequencing Data Yongchao Liu, Bertil Schmidt
2017	A	`conf`	PUNAS: A Parallel Ungapped-Alignment-Featured Seed Verification Algorithm for Next-Generation Sequencing Read Alignment. IPDPS Yuandong Chan, Kai Xu, Haidong Lan, Weiguo Liu, Yongchao Liu, Bertil Schmidt
2017	J	`jnl`	Parallelized Kendall's Tau Coefficient Computation via SIMD Vectorized Sorting On Many-Integrated-Core Processors. CoRR Yongchao Liu, Tony Pan, Oded Green, Srinivas Aluru
2017	A	`conf`	SWhybrid: A Hybrid-Parallel Framework for Large-Scale Protein Sequence Database Search. IPDPS Haidong Lan, Weiguo Liu, Yongchao Liu, Bertil Schmidt
2016	J	`jnl`	ALFRED: A Practical Method for Alignment-Free Distance Computation. J. Comput. Biol. Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Alberto Apostolico, Srinivas Aluru
2016	J	`jnl`	Bit-parallel approximate pattern matching: Kepler GPU versus Xeon Phi. Parallel Comput. Tuan Tu Tran, Yongchao Liu, Bertil Schmidt
2016	—	`conf`	Kmerind: A Flexible Parallel Library for K-mer Indexing of Biological Sequences on Distributed Memory Systems. BCB Tony Pan, Patrick Flick, Chirag Jain, Yongchao Liu, Srinivas Aluru
2016	J	`jnl`	LightScan: Faster Scan Primitive on CUDA Compatible Manycore Processors. CoRR Yongchao Liu, Srinivas Aluru
2016	J	`jnl`	MSAProbs-MPI: parallel multiple sequence aligner for distributed-memory systems. Bioinform. Jorge González-Domínguez, Yongchao Liu, Juan Touriño, Bertil Schmidt
2016	J	`jnl`	Parallel Pairwise Correlation Computation On Intel Xeon Phi Clusters. CoRR Yongchao Liu, Tony Pan, Srinivas Aluru
2016	C	`conf`	Parallel Pairwise Correlation Computation on Intel Xeon Phi Clusters. SBAC-PAD Yongchao Liu, Tony Pan, Srinivas Aluru
2016	J	`jnl`	Parallel and Space-Efficient Construction of Burrows-Wheeler Transform and Suffix Array for Big Genome Data. IEEE ACM Trans. Comput. Biol. Bioinform. Yongchao Liu, Thomas Hankeln, Bertil Schmidt
2016	J	`jnl`	SNVSniffer: an integrated caller for germline and somatic single-nucleotide and indel mutations. BMC Syst. Biol. Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt
2015	—	`conf`	A greedy alignment-free distance estimator for phylogenetic inference (extended abstract). ICCABS Sharma V. Thankachan, Sriram P. Chockalingam, Yongchao Liu, Ambujam Krishnan, Srinivas Aluru
2015	J	`jnl`	GSWABE: faster GPU-accelerated sequence alignment with optimal alignment retrieval for short DNA sequences. Concurr. Comput. Pract. Exp. Yongchao Liu, Bertil Schmidt
2015	—	`conf`	LightSpMV: Faster CSR-based sparse matrix-vector multiplication on CUDA-enabled GPUs. ASAP Yongchao Liu, Bertil Schmidt
2015	—	`conf`	SNVSniffer: An integrated caller for germline and somatic SNVs based on Bayesian models. BIBM Yongchao Liu, Martin Loewer, Srinivas Aluru, Bertil Schmidt
2014	C	`conf`	Bit-Parallel Approximate Pattern Matching on the Xeon Phi Coprocessor. SBAC-PAD Tuan Tu Tran, Simon Schindel, Yongchao Liu, Bertil Schmidt
2014	J	`jnl`	CUSHAW2-GPU: Empowering Faster Gapped Short-Read Alignment Using GPU Computing. IEEE Des. Test Yongchao Liu, Bertil Schmidt
2014	J	`jnl`	HECTOR: a parallel multistage homopolymer spectrum based error corrector for 454 sequencing data. BMC Bioinform. Adrianto Wirawan, Robert S. Harris, Yongchao Liu, Bertil Schmidt, Jan Schröder
2014	C	`conf`	SWAPHI-LS: Smith-Waterman Algorithm on Xeon Phi coprocessors for Long DNA Sequences. CLUSTER Yongchao Liu, Tuan Tu Tran, Felix Lauenroth, Bertil Schmidt
2014	J	`jnl`	SWAPHI: Smith-Waterman Protein Database Search on Xeon Phi Coprocessors. CoRR Yongchao Liu, Bertil Schmidt
2014	—	`conf`	SWAPHI: Smith-waterman protein database search on Xeon Phi coprocessors. ASAP Yongchao Liu, Bertil Schmidt
2013	J	`jnl`	CUDASW++ 3.0: accelerating Smith-Waterman protein database search by coupling CPU and GPU SIMD instructions. BMC Bioinform. Yongchao Liu, Adrianto Wirawan, Bertil Schmidt
2013	—	`conf`	Faster GPU-Accelerated Smith-Waterman Algorithm with Alignment Backtracking for Short DNA Sequences. PPAM (2) Yongchao Liu, Bertil Schmidt
2013	J	`jnl`	Musket: a multistage Bioinform. Yongchao Liu, Jan Schröder, Bertil Schmidt
2012	J	`jnl`	CUSHAW: a CUDA compatible short read aligner to large genomes based on the Burrows-Wheeler transform. Bioinform. Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2012	—	`conf`	Evaluation of GPU-based Seed Generation for Computational Genomics Using Burrows-Wheeler Transform. IPDPS Workshops Yongchao Liu, Bertil Schmidt
2012	J	`jnl`	Long read alignment based on maximal exact match seeds. Bioinform. Yongchao Liu, Bertil Schmidt
2011	—	`conf`	An Ultrafast Scalable Many-Core Motif Discovery Algorithm for Multiple GPUs. IPDPS Workshops Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2011	J	`jnl`	CompleteMOTIFs: DNA motif discovery platform for transcription factor binding experiments. Bioinform. Lakshmi Kuttippurathu, Michael Hsing, Yongchao Liu, Bertil Schmidt, Douglas L. Maskell, Kyungjoon Lee, Aibin He, William T. Pu, Sek Won Kong
2011	J	`jnl`	DecGPU: distributed error correction on massively parallel graphics processing units using CUDA and MPI. BMC Bioinform. Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2011	B	`conf`	Mapping of BLASTP Algorithm onto GPU Clusters. ICPADS Weiguo Liu, Bertil Schmidt, Yongchao Liu, Gerrit Voss, Wolfgang Müller-Wittig
2011	J	`jnl`	Parallelized short read assembly of large genomes using de Bruijn graphs. BMC Bioinform. Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2010	J	`jnl`	CUDA-MEME: Accelerating motif discovery in biological sequences using CUDA-enabled graphics processing units. Pattern Recognit. Lett. Yongchao Liu, Bertil Schmidt, Weiguo Liu, Douglas L. Maskell
2010	J	`jnl`	MSAProbs: multiple sequence alignment based on pair hidden Markov models and partition function posterior probabilities. Bioinform. Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2009	—	`conf`	MSA-CUDA: Multiple Sequence Alignment on Graphics Processing Units with CUDA. ASAP Yongchao Liu, Bertil Schmidt, Douglas L. Maskell
2009	A	`conf`	Parallel reconstruction of neighbor-joining trees for large multiple sequence alignments using CUDA. IPDPS Yongchao Liu, Bertil Schmidt, Douglas L. Maskell