百晓学者学者目录

梁成

副教授、博士生导师、教授、讲师，山东师范大学

精选作品

期刊论文

2026

A sequence knowledge-guided deep learning method for single-cell multi-omics translation

Mengyuan Zhao, Jiawei Li, Yanlin Jiang, Jia-Hui Yan, Xinyu Tang, Cheng Liang, Ji-Jun Tang, Fei Guo

Genome Biology

DOI

2026

Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering

Wen-Lan Chen, Lu Gao, Dao-Yuan Wang, Fei Guo, Cheng Liang

AAAI Conference on Artificial Intelligence

DOI

2026

PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering

Chengwei Ai, Qiao-Zhen Meng, Meng-Wei Sun, Ruihan Dong, Hong-Peng Yang, Shi-Qiang Ma, Xiao-Yi Liu, Cheng Liang, Fei Guo

AAAI Conference on Artificial Intelligence

DOI

2026

Structure-based virulence factor classification using a dual-driven graph transformer with a pretrained language model

Peihao Bai, Guanghui Li, Nan Jiang, Jiao Chen, Cheng Liang, Yijie Ding

Briefings in Bioinformatics

DOI

2026

K2A: A knowledge-to-action paradigm for breast cancer analysis via orchestrated pharmacokinetic and clinical semantics

Tianyu Liu, Feiyan Feng, Kai Wu, Cheng Liang, Hong Wang, Yanshen Sun

Expert Systems with Applications

DOI

2026

scMSDA: A Novel Multi-View Fusion Framework for Single-Cell RNA-seq Data Clustering with Semantic and Distribution Alignment

Congcong Jiang, Wenlan Chen, Yanyan Tan, Hai Zhong, Cheng Liang

Interdisciplinary Sciences Computational Life Sciences

DOI

2026

Incomplete Multi-View Clustering via Robust Representation Learning and Tensor-Based Co-Regularization

Cheng Liang, Daoyuan Wang, Fei Guo, Shichao Zhang

IEEE Transactions on Circuits and Systems for Video Technology

DOI

2026

Classification of virulence factors based on dual-channel neural networks with pre-trained language models

Guanghui Li, Peiyang Song, Jiawei Luo, Cheng Liang

PLoS ONE

DOI

2026

GBFlow: Grouping Belief-Guided Dual Normalizing Flows for Accurate Spatial Domain Delineation

Fengyi Zhou, Daoyuan Wang, Wenlan Chen, Cheng Liang, Fei Guo

International Joint Conference on Artificial Intelligence

DOI

2026

High-order correlation and consistency-aware multi-view clustering via anchor graph learning

Cheng Liang, Wenchao Zang, Daoyuan Wang, Fei Guo

Neural Networks

DOI

2026

scDGRC: Dual-Perspective Graph Learning with Perturbation Consistency for Robust scRNA-seq Clustering

Shan Shan, Cheng Liang, Wenlan Chen

Lecture notes in computer science

DOI

2026

Hybrid Encoding and Adaptive Guidance for Enhanced Single-Cell Multi-omics Clustering

Jing Li, Hong Wang, Jiafeng Yu, Cheng Liang, X Zhao, Jun Zhao, Yanshen Sun

Interdisciplinary Sciences Computational Life Sciences

DOI

2026

MultiPert: An adversarial alignment and dual attention framework for single-cell multi-omics perturbation prediction

Mengyuan Zhao, Xinyue Tang, Jiawei Li, Cheng Liang, Jijun Tang, Fei Guo

PLoS Computational Biology

DOI

2026

Graph-Embedded Deep Generative Clustering for Single-Cell Multi-Omics Data Integration

Cheng Liang, Wenlan Chen, Lu Gao, Chang‐Dong Wang, Shichao Zhang, Fei Guo

IEEE Transactions on Pattern Analysis and Machine Intelligence

DOI

2025

三维环境下的多约束融合PLO无人机路径规划算法研究

杨辉，杨端正，董玉冲，谢修娜，梁成，陈鹏

《中原工学院学报》

2025

基于SSA-SVM的短时交通拥堵指数预测

时柏营，杜文鑫，梁成，王鹏，胡西欣

《黑龙江交通科技》

DOI

2025

Cancer survival prediction based on soft-label guided contrastive learning and global feature fusion

Hui Jiang, Wen-Lan Chen, Fei Guo, Cheng Liang

Bioinform.

DOI

2025

Image-Enhanced Hybrid Encoding with Reinforced Contrastive Learning for Spatial Domain Identification in Spatial Transcriptomics

Dao-Yuan Wang, Lu Gao, Wen-Lan Chen, Cheng Liang, Fei Guo

International Joint Conference on Artificial Intelligence

DOI

2025

DynaPhArM: Adaptive and Physics-Constrained Modeling for Target-Drug Complexes with Drug-Specific Adaptations

Diya Zhang, Meng-Wei Sun, Xingdan Wang, Cheng Liang, Qiao-Zhen Meng, Shi-Qiang Ma, Fei Guo

Neural Information Processing Systems

DOI

2025

PCLSurv: a prototypical contrastive learning-based multi-omics data integration model for cancer survival prediction

Zhimin Li, Wen-Lan Chen, Hai Zhong, Cheng Liang

Briefings Bioinform.

DOI

2025

Deep Variational Incomplete Multi-View Clustering with Information-Theoretic Guidance

Wenlan Chen, Lu Gao, Cheng Liang, Fei Guo

ACM International Conference on Multimedia (ACM MM)

DOI

2025

Dual-Level Distribution Alignment for Deep Incomplete Multi-View Clustering

Fujian Ren, Wenlan Chen, Lu Gao, Fei Guo, Cheng Liang

ACM International Conference on Multimedia (ACM MM)

DOI

2025

Interpretable Multi-task Analysis of Single-Cell RNA-seq Data Through Topological Structure Preservation and Data Denoising

Shengpeng Yu, Zihan Yang, Tianyu Liu, Cheng Liang, Hong Wang

Interdisciplinary Sciences Computational Life Sciences

DOI

2025

Structured knowledge-inspired two-stage knowledge alignment framework for Alzheimer’s disease diagnosis

Fulin Zheng, Hong Wang, Tianyu Liu, Feiyan Feng, Kai Wu, Cheng Liang

Pattern Recognition

DOI

2025

stGNN: Spatially Informed Cell-Type Deconvolution Based on Deep Graph Learning and Statistical Modeling

Juntong Zhu, Daoyuan Wang, Siqi Chen, Lili Meng, Yahui Long, Cheng Liang

Interdisciplinary Sciences Computational Life Sciences

DOI

2025

Accurate prediction of virulence factors using pre-train protein language model and ensemble learning

Guanghui Li, Jian Zhou, Jiawei Luo, Cheng Liang

BMC Genomics

DOI

2025

Unsupervised multi-view feature selection based on weighted low-rank tensor learning and its application in multi-omics datasets

Daoyuan Wang, Lianzhi Wang, Wenlan Chen, Hong Wang, Cheng Liang

Engineering Applications of Artificial Intelligence

DOI

2025

Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision

Lu Gao, Wenlan Chen, Daoyuan Wang, Fei Guo, Cheng Liang

neural information processing systems

DOI

2025

Prototype-Calibrated Multimodal Fusion with Relational Consistency for Spatial Domain Identification in Spatial Transcriptomics

Xiaoyu Liu, Daoyuan Wang, Guanghui Li, Cheng Liang

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2024

GCEA: Contrastive-Enhanced Autoencoders with Adaptive Completion for Partial Multi-omics Integration in Cancer Subtyping

Weiting Yu, Zhimin Li, Cheng Liang

International Conference on Intelligent Computing

DOI

2024

Deep learning model for protein multi-label subcellular localization and function prediction based on multi-task collaborative training

Peihao Bai, Guanghui Li, Jiawei Luo, Cheng Liang

Briefings in Bioinformatics

DOI

2024

Robust Tensor Subspace Learning for Incomplete Multi-View Clustering

Cheng Liang, Daoyuan Wang, Huaxiang Zhang, Shichao Zhang, Fei Guo

IEEE Transactions on Knowledge and Data Engineering

DOI

2024

MCHAN: Prediction of Human Microbe-drug Associations Based on Multiview Contrastive Hypergraph Attention Network

Guanghui Li, Ziyan Cao, Cheng Liang, Qiu Xiao, Jiawei Luo, Jiawei Luo

Current Bioinformatics

DOI

2024

Identifying virulence factors using graph transformer autoencoder with ESMFold-predicted structures

Guanghui Li, Peihao Bai, Jiao Chen, Cheng Liang

Computers in Biology and Medicine

DOI

2023

Protein–protein interaction site prediction by model ensembling with hybrid feature and self-attention

Hanhan Cong, Hong Liu, Yi Cao, Cheng Liang, Yuehui Chen

BMC Bioinformatics

DOI

2023

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations

Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2023

DeepWalk-aware graph attention networks with CNN for circRNA–drug sensitivity association identification

Guanghui Li, Youjun Li, Cheng Liang, Jiawei Luo

Briefings in Functional Genomics

DOI

2023

Identifying spatial domains of spatially resolved transcriptomics via multi-view graph convolutional networks

Xuejing Shi, Juntong Zhu, Yahui Long, Cheng Liang

Briefings in Bioinformatics

DOI

2023

Incomplete multi-view clustering by simultaneously learning robust representations and optimal graph structures

Mingchao Shang, Cheng Liang, Jiawei Luo, Huaxiang Zhang

Information Sciences

DOI

2023

Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning

Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo

Pattern Recognition

DOI

2023

CasANGCL: pre-training and fine-tuning model based on cascaded attention network and graph contrastive learning for molecular property prediction

Zixi Zheng, Yanyan Tan, Hong Wang, Shengpeng Yu, Tianyu Liu, Cheng Liang

Briefings in Bioinformatics

DOI

2022

Multi-view Unsupervised Feature Selection via Consensus Guided Low-rank Tensor Learning

Lianzhi Wang, Cheng Liang, Wenjiao Dong, Wenlan Chen

IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

DOI

2022

Predicting miRNA-disease associations based on graph attention network with multi-source information

Guanghui Li, Tao Fang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo

BMC Bioinformatics

DOI

2022

A knowledge-driven network for fine-grained relationship detection between miRNA and disease

Shengpeng Yu, Hong Wang, Tianyu Liu, Cheng Liang, Jiawei Luo

Briefings in Bioinformatics

DOI

2022

Using Graph Attention Network and Graph Convolutional Network to Explore Human CircRNA–Disease Associations Based on Multi-Source Data

Guanghui Li, Diancheng Wang, Yuejin Zhang, Cheng Liang, Qiu Xiao, Jiawei Luo

Frontiers in Genetics

DOI

2022

Multiview Robust Graph-Based Clustering for Cancer Subtype Identification

Xiaofeng Shi, Cheng Liang, Hong Wang

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2021

Cancer subtype identification by consensus guided graph autoencoders

Cheng Liang, Mingchao Shang, Jiawei Luo

Bioinformatics

DOI

2021

Prediction of lncRNA-disease Associations Based on Robust Multi-label Learning

Jiaxin Zhang, Quanmeng Sun, Cheng Liang

Current Bioinformatics

DOI

2020

Potential circRNA-disease association prediction using DeepWalk and network consistency projection

Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen

Journal of Biomedical Informatics

DOI

2020

An in-silico method with graph-based multi-label learning for large-scale prediction of circRNA-disease associations

Qiu Xiao, Haiming Yu, Jiancheng Zhong, Cheng Liang, Guanghui Li, Pingjian Ding, Jiawei Luo

Genomics

DOI

2020

Inferring MicroRNA-Disease Associations Based on the Identification of a Functional Module

Buwen Cao, Shuguang Deng, Hua Qin, Jiawei Luo, Guanghui Li, Cheng Liang

Journal of Computational Biology

DOI

2020

Multiview Consensus Graph Learning for lncRNA–Disease Association Prediction

Haojiang Tan, Quanmeng Sun, Guanghui Li, Qiu Xiao, Pingjian Ding, Jiawei Luo, Cheng Liang

Frontiers in Genetics

DOI

2020

Multi-view feature selection via Nonnegative Structured Graph Learning

Xiangpin Bai, Lei Zhu, Cheng Liang, Jingjing Li, Xiushan Nie, Xiaojun Chang

Neurocomputing

DOI

2019

Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization

Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo

Journal of Chemical Information and Modeling

DOI

2019

Inferring Synergistic Drug Combinations Based on Symmetric Meta-Path in a Novel Heterogeneous Network

Pingjian Ding, Cheng Liang, Wenjue Ouyang, Guanghui Li, Qiu Xiao, Jiawei Luo

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2019

Robust optimal graph clustering

Fei Wang, Lei Zhu, Cheng Liang, Jingjing Li, Xiaojun Chang, Ke Lü

Neurocomputing

DOI

2019

Self-Weighted Multi-Kernel Multi-Label Learning for Potential miRNA-Disease Association Prediction

Zhenxia Pan, Huaxiang Zhang, Cheng Liang, Guanghui Li, Qiu Xiao, Pingjian Ding, Jiawei Luo

Molecular Therapy — Nucleic Acids

DOI

2019

Adaptive multi-view multi-label learning for identifying disease-associated candidate miRNAs

Cheng Liang, Shengpeng Yu, Jiawei Luo

PLoS Computational Biology

DOI

2019

CeModule: an integrative framework for discovering regulatory patterns from genomic data in cancer

Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Guanghui Li, Buwen Cao

BMC Bioinformatics

DOI

2019

NCPCDA: network consistency projection for circRNA–disease association prediction

Guanghui Li, Yingjie Yue, Cheng Liang, Qiu Xiao, Pingjian Ding, Jiawei Luo

RSC Advances

DOI

2019

Prediction of LncRNA-Disease Associations Based on Network Consistency Projection

Guanghui Li, Jiawei Luo, Cheng Liang, Qiu Xiao, Pingjian Ding, Yuejin Zhang

IEEE Access

DOI

2018

A novel semi-supervised model for miRNA-disease association prediction based on $$\ell_{1}$$ ℓ 1 -norm graph

Cheng Liang, Shengpeng Yu, Ka‐Chun Wong, Jiawei Luo

Journal of Translational Medicine

DOI

2018

MCLPMDA : A novel method for mi RNA ‐disease association prediction based on matrix completion and label propagation

Shengpeng Yu, Cheng Liang, Qiu Xiao, Guanghui Li, Pingjian Ding, Jiawei Luo

Journal of Cellular and Molecular Medicine

DOI

2018

LLCMDA: A Novel Method for Predicting miRNA Gene and Disease Relationship Based on Locality-Constrained Linear Coding

Yu Qu, Huaxiang Zhang, Chen Lyu, Cheng Liang

Frontiers in Genetics

DOI

2018

GLNMDA: a novel method for miRNA-disease association prediction based on global linear neighborhoods

Shengpeng Yu, Cheng Liang, Qiu Xiao, Guanghui Li, Pingjian Ding, Jiawei Luo

RNA Biology

DOI

2018

Inferring Disease–miRNA Associations by Self-Weighting with Multiple Data Source

Xiaoying Yang, Ling Gao, Cheng Liang

Molecular Biology

DOI

2018

Identifying lncRNA and mRNA Co-Expression Modules from Matched Expression Data in Ovarian Cancer

Qiu Xiao, Jiawei Luo, Cheng Liang, Guanghui Li, Jie Cai, Pingjian Ding, Ying Liu

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2018

SNMDA : A novel method for predicting micro RNA ‐disease associations based on sparse neighbourhood

Yu Qu, Huaxiang Zhang, Cheng Liang, Pingjian Ding, Jiawei Luo

Journal of Cellular and Molecular Medicine

DOI

2018

Comprehensive analysis of competitive endogenous RNAs network associated with head and neck squamous cell carcinoma

Xiaonan Fang, Miao Yin, Hua Li, Cheng Liang, Cong Xu, Guiwen Yang, Huaxiang Zhang

Scientific Reports

DOI

2018

Predicting microRNA-disease associations using label propagation based on linear neighborhood similarity

Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding

Journal of Biomedical Informatics

DOI

2018

Discovering Synergistic Drug Combination from a Computational Perspective

Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao, Guanghui Li

Current Topics in Medicinal Chemistry

DOI

2018

Semi-supervised prediction of human miRNA-disease association based on graph regularization framework in heterogeneous networks

Jiawei Luo, Pingjian Ding, Cheng Liang, Xiangtao Chen

Neurocomputing

DOI

2018

Human disease MiRNA inference by combining target information based on heterogeneous manifolds

Pingjian Ding, Jiawei Luo, Cheng Liang, Qiu Xiao, Buwen Cao

Journal of Biomedical Informatics

DOI

2018

An Efficient Network Motif Discovery Approach for Co-Regulatory Networks

Jiawei Luo, Lv Ding, Cheng Liang, Nguyen Hoang Tu

IEEE Access

DOI

2018

Prediction of microRNA–disease associations with a Kronecker kernel matrix dimension reduction model

Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding

RSC Advances

DOI

2018

Предсказание ассоциаций “болезнь–микроРНК” методом самовзвешивания и с использованием множественных источников данных

X. Y. Yang, Ling Gao, Cheng Liang

Molecular Biology

DOI

2017

Prediction of disease-miRNA associations by walking on a bipartite network

Xiaoying Yang, Ling Gao, Cheng Liang

Chinese Automation Congress

DOI

2017

KATZMDA: Prediction of miRNA-Disease Associations Based on KATZ Model

Yu Qu, Huaxiang Zhang, Cheng Liang, Xiao ming Dong

IEEE Access

DOI

2017

A graph regularized non-negative matrix factorization method for identifying microRNA-disease associations

Qiu Xiao, Jiawei Luo, Cheng Liang, Jie Cai, Pingjian Ding

Bioinformatics

DOI

2017

Predicting MicroRNA-Disease Associations Using Kronecker Regularized Least Squares Based on Heterogeneous Omics Data

Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding

IEEE Access

DOI

2017

Predicting MicroRNA-Disease Associations Using Network Topological Similarity Based on DeepWalk

Guanghui Li, Jiawei Luo, Qiu Xiao, Cheng Liang, Pingjian Ding, Buwen Cao

IEEE Access

DOI

2017

A Novel Group Wise-Based Method for Calculating Human miRNA Functional Similarity

Pingjian Ding, Jiawei Luo, Cheng Liang, Jie Cai, Ying Liu, Xiangtao Chen

IEEE Access

DOI

2016

Probabilistic Inference on Multiple Normalized Genome-Wide Signal Profiles With Model Regularization

Ka‐Chun Wong, Chengbin Peng, Shankai Yan, Cheng Liang

IEEE Transactions on NanoBioscience

DOI

2016

PCE-FR: A Novel Method for Identifying Overlapping Protein Complexes in Weighted Protein-Protein Interaction Networks Using Pseudo-Clique Extension Based on Fuzzy Relation

Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang, Pingjian Ding

IEEE Transactions on NanoBioscience

DOI

2016

Imbalanced Feature Selection with Random Forest for Ovarian Cancer Diagnosis and Survival Prediction

Xiaonan Fang, Cheng Liang, Huaxiang Zhang

Journal of Computational and Theoretical Nanoscience

DOI

2016

Collective Prediction of Disease-Associated miRNAs Based on Transduction Learning

Jiawei Luo, Pingjian Ding, Cheng Liang, Buwen Cao, Xiangtao Chen

IEEE Transactions on Computational Biology and Bioinformatics

DOI

2016

Detecting overlapping protein complexes in weighted protein-protein interaction networks using pseudo-clique extension based on fuzzy relation

Buwen Cao, Jiawei Luo, Cheng Liang, Shulin Wang

DOI

预印本

2026

Accurate delineation of cellular niches via integrated spatial transcriptomics and histological imaging with SYMOL

D Wang, Fengyi Zhou, Wenlan Chen, Cheng Liang, Fei Guo

Genome Research

DOI

2026

VMonarch: Efficient Video Diffusion Transformers with Structured Attention

Cheng Liang, Haoxian Chen, Liang Hou, Qi Fan, Gangshan Wu, Xin Tao, Limin Wang

arXiv preprint

2026

Do Agents Know What They Can't Do? Evaluating Feasibility Awareness in Tool-Using Agents

Liang Cheng, Mingsheng Cai, Jiuming Jiang, Luo Mai

arXiv preprint

2026

Beyond the Stitching Assumption: A Unified Framework for Multimodal Synthetic Data Evaluation via Semantic Quantization

Yefeng Yuan, Zhan Shi, Liang Cheng, Yuhong Liu

arXiv preprint

2026

Structured Testbench Generation for LLM-Driven HDL Design and Verification-Oriented Data Curation

En-Ming Huang, Yu-Hung Kao, Ren-Hao Deng, Wei-Po Hsin, Yao-Ting Hsieh, Cheng Liang, Hsiang-Yu Tsou, Mu-Chi Chen, Yu-Kai Hung, Shao-Chun Ho, Po-Hsuang Huang, Shih-Hao Hung, H. T. Kung

arXiv preprint

2026

Specialize Roles, Mix Deployments: Pushing the Cost-Accuracy Frontier of LLM Agent Teams

Yinsicheng Jiang, Liang Cheng, Yeqi Huang, Yufan Zhao, Zhan Lu, Li Dong, Wenda Li, Edoardo Ponti, Luo Mai

arXiv preprint

2026

A Self-Evolving Agentic System for Automated Generation and Execution of Biological Protocols

Yankai Jiang, Weiting Tang, Haoran Sun, Zhenyu Tang, Yuejie Hou, Yingnan Han, Rubo Wang, Yueyuxiao Yang, Cheng Liang, Lilong Wang, Wenjie Lou, Xiaosong Wang, Lei Bai, Meng Yang

arXiv preprint

2026

SiliconMind-V1: Multi-Agent Distillation and Debug-Reasoning Workflows for Verilog Code Generation

Mu-Chi Chen, Yu-Hung Kao, Po-Hsuan Huang, Shao-Chun Ho, Hsiang-Yu Tsou, I-Ting Wu, En-Ming Huang, Yu-Kai Hung, Wei-Po Hsin, Cheng Liang, Chia-Heng Tu, Shih-Hao Hung, H. T. Kung

arXiv preprint

2026

CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation

Chengzhuo Tong, Mingkun Chang, Shenglong Zhang, Yuran Wang, Cheng Liang, Zhizheng Zhao, Ruichuan An, Bohan Zeng, Yang Shi, Yifan Dai, Ziming Zhao, Guanbin Li, Pengfei Wan, Yuanxing Zhang, Wentao Zhang

arXiv preprint

2026

Exploring LLM-based Verilog Code Generation with Data-Efficient Fine-Tuning and Testbench Automation

Mu-Chi Chen, Po-Hsuan Huang, Yu-Hung Kao, Yen-Fu Liu, Yu-Kai Hung, Cheng Liang, Shao-Chun Ho, Chia-Heng Tu, Shih-Hao Hung

arXiv preprint

2025

S2LPP: Small-to-Large Prompt Prediction across LLMs

Liang Cheng, Tianyi LI, Zhaowei Wang, Mark Steedman

arXiv preprint

2025

LLMs are Frequency Pattern Learners in Natural Language Inference

Liang Cheng, Zhaowei Wang, Mark Steedman

arXiv preprint

2025

Neutralizing Bias in LLM Reasoning using Entailment Graphs

Liang Cheng, Tianyi Li, Zhaowei Wang, Tianyang Liu, Mark Steedman

arXiv preprint

2025

Automatic Generation of a Cryptography Misuse Taxonomy Using Large Language Models

Yang Zhang, Wenyi Ouyang, Yi Zhang, Liang Cheng, Chen Wu, Wenxin Hu

arXiv preprint

2025

Psyzkaller: Learning from Historical and On-the-Fly Execution Data for Smarter Seed Generation in OS kernel Fuzzing

Boyu Liu, Yang Zhang, Liang Cheng, Yi Zhang, Junjie Fan, Xiaoshan Sun, Yu Fu, Zhen Li, Dengguo Feng

arXiv preprint

DOI

2025

SAM 2++: Tracking Anything at Any Granularity

Jiaming Zhang, Cheng Liang, Yichun Yang, Chenkai Zeng, Yutao Cui, Xinwen Zhang, Xin Zhou, Kai Ma, Gangshan Wu, Limin Wang

arXiv preprint

2025

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting

Zhan Shi, Yefeng Yuan, Yuhong Liu, Liang Cheng, Yi Fang

arXiv preprint

2025

A Survey of Graph Neural Networks for Drug Discovery: Recent Developments and Challenges

Katherine Berry, Liang Cheng

arXiv preprint

2025

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs

Tevin Atwal, Chan Nam Tieu, Yefeng Yuan, Zhan Shi, Yuhong Liu, Liang Cheng

arXiv preprint

2025

LLM-Explorer: Towards Efficient and Affordable LLM-based Exploration for Mobile Apps

Shanhui Zhao, Hao Wen, Wenjie Du, Cheng Liang, Yunxin Liu, Xiaozhou Ye, Ye Ouyang, Yuanchun Li

arXiv preprint

2025

ContextPilot: Fast Long-Context Inference via Context Reuse

Yinsicheng Jiang, Yeqi Huang, Liang Cheng, Cheng Deng, Xuan Sun, Luo Mai

arXiv preprint

2025

MMLongBench: Benchmarking Long-Context Vision-Language Models Effectively and Thoroughly

Zhaowei Wang, Wenhao Yu, Xiyu Ren, Jipeng Zhang, Yu Zhao, Rohit Saxena, Liang Cheng, Ginny Wong, Simon See, Pasquale Minervini, Yangqiu Song, Mark Steedman

arXiv preprint

2024

Work-in-Progress: Traded Control Transfer for Managing Real-Time Sensor Uncertainties in Autonomous Vehicle

Md Sakib Galib Sourav, Liang Cheng

arXiv preprint

2024

Explicit Inductive Inference using Large Language Models

Tianyang Liu, Tianyi Li, Liang Cheng, Mark Steedman

arXiv preprint

2024

A Multi-Faceted Evaluation Framework for Assessing Synthetic Data Generated by Large Language Models

Yefeng Yuan, Yuhong Liu, Liang Cheng

arXiv preprint

2024

Variational autoencoder-based neural network model compression

Liang Cheng, Peiyuan Guan, Amir Taherkordi, Lei Liu, Dapeng Lan

arXiv preprint

2024

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer

Gesa Mittmann, Sara Laiouar-Pedari, Hendrik A. Mehrtens, Sarah Haggenmüller, Tabea-Clara Bucher, Tirtha Chanda, Nadine T. Gaisa, Mathias Wagner, Gilbert Georg Klamminger, Tilman T. Rau, Christina Neppl, Eva Maria Compérat, Andreas Gocht, Monika Hämmerle, Niels J. Rupp, Jula Westhoff, Irene Krücken, Maximillian Seidl, Christian M. Schürch, Marcus Bauer, Wiebke Solass, Yu Chun Tam, Florian Weber, Rainer Grobholz, Jaroslaw Augustyniak, Thomas Kalinski, Christian Hörner, Kirsten D. Mertz, Constanze Döring, Andreas Erbersdobler, Gabriele Deubler, Felix Bremmer, Ulrich Sommer, Michael Brodhun, Jon Griffin, Maria Sarah L. Lenon, Kiril Trpkov, Liang Cheng, Fei Chen, Angelique Levi, Guoping Cai, Tri Q. Nguyen, Ali Amin, Alessia Cimadamore, Ahmed Shabaik, Varsha Manucha, Nazeel Ahmad, Nidia Messias, Francesca Sanguedolce, Diana Taheri, Ezra Baraban, Liwei Jia, Rajal B. Shah, Farshid Siadat, Nicole Swarbrick, Kyung Park, Oudai Hassan, Siamak Sakhaie, Michelle R. Downes, Hiroshi Miyamoto, Sean R. Williamson, Tim Holland-Letz, Carolin V. Schneider, Jakob Nikolas Kather, Yuri Tolkach, Titus J. Brinker

arXiv preprint

2023

Sources of Hallucination by Large Language Models on Inference Tasks

Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman

arXiv preprint

2023

Enabling Voice-Accompanying Hand-to-Face Gesture Recognition with Cross-Device Sensing

Zisu Li, Cheng Liang, Yuntao Wang, Yue Qin, Chun Yu, Yukang Yan, Mingming Fan, Yuanchun Shi

arXiv preprint

2023

Uncovering the Handwritten Text in the Margins: End-to-end Handwritten Text Detection and Recognition

Liang Cheng, Jonas Frankemölle, Adam Axelsson, Ekta Vats

arXiv preprint

2022

Multi-Metric AutoRec for High Dimensional and Sparse User Behavior Data Prediction

Cheng Liang, Teng Huang, Yi He, Song Deng, Di Wu, Xin Luo

arXiv preprint

2021

Tea: Program Repair Using Neural Network Based on Program Information Attention Matrix

Wenshuo Wang, Chen Wu, Liang Cheng, Yang Zhang

arXiv preprint

2020

Fuzzing Based on Function Importance by Interprocedural Control Flow Graph

Wenshuo Wang, Liang Cheng, Yang Zhang

arXiv preprint

2019

Optimizing seed inputs in fuzzing with machine learning

Liang Cheng, Yang Zhang, Yi Zhang, Chen Wu, Zhangtan Li, Yu Fu, Haisheng Li

arXiv preprint

DOI

研究方向

人工智能机器学习生物信息学等

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