Enhancing Utility and Privacy-Safety via Semi-homogenous Generalization. - Xianmang He; Wei Wang 009; Huahui Chen 001; Guang Jin; Yefang Chen; Yihong Dong (DEXA (1), 2012)

Clustering-Based k-Anonymity. - Xianmang He; Huahui Chen 001; Yefang Chen; Yihong Dong; Peng Wang 027; Zhenhua Huang 005 (PAKDD (1), 2012)

An embedded co-processor for accelerating window joins over uncertain data streams. - Jiang-Bo Qian; Youming Li; Yongli Wang; Huahui Chen 001; Yihong Dong (Microprocess. Microsystems, 2012)

A Study on Privacy Preservation for Multi-user and Multi-granularity. - Dong Li 024; Xianmang He; Huahui Chen 001; Yihong Dong; Yefang Chen (ICDM Workshops, 2013)

面向复杂网络的图稀疏算法综述 (Survey of Graph Sparsification Algorithms for Complex Networks). - Lili Xu; Yihong Dong; Jianfei Pan; Huahui Chen 001 (计算机科学, 2018)

Dynamic Network Embedding for Link Prediction. - Yan Cao; Yihong Dong; Shaoqing Wu; Yu Xin; Jiangbo Qian (ISPA/BDCloud/SocialCom/SustainCom, 2019)

LTG-LSM: The Optimal Structure in LSM-tree Combined with Reading Hotness. - Jiaping Yu; Huahui Chen 001; Jiangbo Qian; Yihong Dong (ICPADS, 2020)

Joint Channel Assignment And Power Allocation for Multi-UAVs Communication Systems. - Lingyun Zhou; Yihong Dong; Mingyi Hong 001; Qingjiang Shi (SPAWC, 2020)

A PoL Protocol for Spatiotemporal Blockchain. - Yiwenjin Fu; Huahui Chen 001; Jiangbo Qian; Yihong Dong (SPDE, 2020)

A Gibbs sampling based coordination scheduling method with fixed I/O constraint. - Yu Xin; Lanting Wang; Yihong Dong; Jiangbo Qian (Comput. Ind. Eng., 2020)

Measurement of Text Similarity: A Survey. - Jiapeng Wang; Yihong Dong (Inf., 2020)

A Ranking-Based Hashing Algorithm Based on the Distributed Spark Platform. - Anbang Yang; Jiangbo Qian; Huahui Chen 001; Yihong Dong (Inf., 2020)

AVBH: Asymmetric Learning to Hash with Variable Bit Encoding. - Yanduo Ren; Jiangbo Qian; Yihong Dong; Yu Xin; Huahui Chen 001 (Sci. Program., 2020)

A Decoupling and Bidirectional Resampling Method for Multilabel Classification of Imbalanced Data with Label Concurrence. - Shuyue Zhou; Xiaobo Li; Yihong Dong; Hao Xu 040 (Sci. Program., 2020)

Semi-Supervised Learning For Signal Recognition With Sparsity And Robust Promotion. - Yihong Dong; Xiaohan Jiang; Lei Cheng 003; Qingjiang Shi (WCNC, 2021)

CapsNet-based supervised hashing. - Bolin Zhang; Jiangbo Qian; Xijiong Xie; Yu Xin; Yihong Dong (Appl. Intell., 2021)

Efficient Algorithms for Rotation Averaging Problems. - Yihong Dong; Lunchen Xie; Qingjiang Shi (Proc. ACM Comput. Graph. Interact. Tech., 2021)

SSRCNN: A Semi-Supervised Learning Framework for Signal Recognition. - Yihong Dong; Xiaohan Jiang; Lei Cheng 003; Qingjiang Shi (IEEE Trans. Cogn. Commun. Netw., 2021)

SR2CNN: Zero-Shot Learning for Signal Recognition. - Yihong Dong; Xiaohan Jiang; Huaji Zhou; Yun Lin 005; Qingjiang Shi (IEEE Trans. Signal Process., 2021)

Incorporating domain knowledge through task augmentation for front-end JavaScript code generation. - Sijie Shen; Xiang Zhu; Yihong Dong; Qizhi Guo; Yankun Zhen; Ge Li 001 (ESEC/SIGSOFT FSE, 2022)

Mental Disorders Prediction with Heterogeneous Graph Convolutional Network. - Haocai Lin; Jiacheng Pan; Yihong Dong (SMC, 2022)

The deep fusion of topological structure and attribute information for anomaly detection in attributed networks. - Jiangjun Su; Yihong Dong; Jiangbo Qian; Yu Xin; Jiacheng Pan (Appl. Intell., 2022)

MAMF-GCN: Multi-scale adaptive multi-channel fusion deep graph convolutional network for predicting mental disorder. - Jiacheng Pan; Haocai Lin; Yihong Dong; Yu Wang 192; Yunxin Ji (Comput. Biol. Medicine, 2022)

Antecedent Predictions Are Dominant for Tree-Based Code Generation. - Yihong Dong; Ge Li 001; Zhi Jin (CoRR, 2022)

Distracted Driver Detection Based on a CNN With Decreasing Filter Size. - Binbin Qin; Jiangbo Qian; Yu Xin; Baisong Liu; Yihong Dong (IEEE Trans. Intell. Transp. Syst., 2022)

Antecedent Predictions Are More Important Than You Think: An Effective Method for Tree-Based Code Generation. - Yihong Dong; Ge Li 001; Xue Jiang; Zhi Jin (ECAI, 2023)

Seq2Seq or Seq2Tree: Generating Code Using Both Paradigms via Mutual Learning. - Yunfei Zhao; Yihong Dong; Ge Li 001 (Internetware, 2023)

CODEP: Grammatical Seq2Seq Model for General-Purpose Code Generation. - Yihong Dong; Ge Li 001; Zhi Jin (ISSTA, 2023)

An Audio Correlation-Based Graph Neural Network for Depression Recognition. - Chenjian Sun; Yihong Dong (PRCV (8), 2023)

A multi-scale interactive U-Net for pulmonary vessel segmentation method based on transfer learning. - Rencheng Wu; Yu Xin; Jiangbo Qian; Yihong Dong (Biomed. Signal Process. Control., 2023)

SplitGNN: Splitting GNN for Node Classification with Heterogeneous Attention. - Xiaolong Xu; Lingjuan Lyu; Yihong Dong; Yicheng Lu; Weiqiang Wang; Hong Jin (CoRR, 2023)

Self-planning Code Generation with Large Language Model. - Xue Jiang; Yihong Dong; Lecheng Wang; Qiwei Shang; Ge Li 001 (CoRR, 2023)

Linking online and offline intergenerational knowledge transfer to younger employees' innovative work behaviors: evidence from Chinese hospitals. - Changyu Wang; Yihong Dong; Zixi Ye; Jiaojiao Feng (J. Knowl. Manag., 2023)

Preference-corrected multimodal graph convolutional recommendation network. - Xiangen Jia; Yihong Dong; Feng Zhu; Yu Xin; Jiangbo Qian (Appl. Intell., 2023)

Multimodal heterogeneous graph attention network. - Xiangen Jia; Min Jiang; Yihong Dong; Feng Zhu; Haocai Lin; Yu Xin; Huahui Chen 001 (Neural Comput. Appl., 2023)

Swin transformer-based supervised hashing. - Liangkang Peng; Jiangbo Qian; Chong Wang 001; Baisong Liu; Yihong Dong (Appl. Intell., 2023)

A time sequence coding based node-structure feature model oriented to node classification. - Ruowang Yu; Yu Xin; Yihong Dong; Jiangbo Qian (Expert Syst. Appl., 2023)

A gated graph attention network based on dual graph convolution for node embedding. - Ruowang Yu; Lanting Wang; Yu Xin; Jiangbo Qian; Yihong Dong (Appl. Intell., 2023)

A dual-path U-Net for pulmonary vessel segmentation method based on lightweight 3D attention. - Rencheng Wu; Yu Xin; Yihong Dong; Jiangbo Qian (Mach. Vis. Appl., 2023)

Fusing heterogeneous information for multi-modal attributed network embedding. - Yang Jieyi; Zhu Feng; Yihong Dong; Jiangbo Qian (Appl. Intell., 2023)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. - Yihong Dong; Xue Jiang; Huanyu Liu; Zhi Jin; Bin Gu; Mengfei Yang; Ge Li 001 (ACL (Findings), 2024)

PACE: Improving Prompt with Actor-Critic Editing for Large Language Model. - Yihong Dong; Kangcheng Luo; Xue Jiang; Zhi Jin; Ge Li 001 (ACL (Findings), 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (ACL (Findings), 2024)

Signal Transformer: Complex-Valued Attention and Meta-Learning for Signal Recognition. - Ying Peng; Yihong Dong; Muqiao Yang; Songtao Lu; Qingjiang Shi (ICASSP, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 011; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (NeurIPS, 2024)

A Novel Population Graph Neural Network Based on Functional Connectivity for Mental Disorders Detection. - Yuheng Gu; Shoubo Peng; Yaqin Li; Linlin Gao; Yihong Dong (PKDD (4), 2024)

A detail-oriented super-2D network for pulmonary artery segmentation. - Lufei Lou; Yu Xin; Jiangbo Qian; Yihong Dong (Biomed. Signal Process. Control., 2024)

Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models. - Yihong Dong; Xue Jiang; Huanyu Liu; Zhi Jin; Ge Li 001 (CoRR, 2024)

SEED: Customize Large Language Models with Sample-Efficient Adaptation for Code Generation. - Xue Jiang; Yihong Dong; Zhi Jin; Ge Li 001 (CoRR, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 011; Ge Li 001; Xuanming Zhang; Yihong Dong; Zhi Jin (CoRR, 2024)

DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories. - Jia Li 012; Ge Li 001; Yunfei Zhao; Yongmin Li; Huanyu Liu; Hao Zhu; Lecheng Wang; Kaibo Liu; Zheng Fang; Lanshen Wang; Jiazheng Ding; Xuanming Zhang; et al. (CoRR, 2024)

Decay Pruning Method: Smooth Pruning With a Self-Rectifying Procedure. - Minghao Yang; Linlin Gao; Pengyuan Li 001; Wenbo Li; Yihong Dong; Zhiying Cui (CoRR, 2024)

Code Structure-Aware through Line-level Semantic Learning for Code Vulnerability Detection. - Ziliang Wang; Ge Li 001; Jia Li 012; Yihong Dong; Yingfei Xiong 001; Zhi Jin (CoRR, 2024)

FAN: Fourier Analysis Networks. - Yihong Dong; Ge Li 001; Yongding Tao; Xue Jiang; Kechi Zhang; Jia Li 012; Jing Su; Jun Zhang; Jingjing Xu (CoRR, 2024)

aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Completion. - Siyuan Jiang; Jia Li 012; He Zong; Huanyu Liu; Hao Zhu; Shukai Hu; Erlu Li; Jiazheng Ding; Yu Han; Wei Ning; Gen Wang; Yihong Dong; et al. (CoRR, 2024)

EvoCodeBench: An Evolving Code Generation Benchmark with Domain-Specific Evaluations. - Jia Li 012; Ge Li 001; Xuanming Zhang; Yunfei Zhao; Yihong Dong; Zhi Jin; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. - Xue Jiang; Yihong Dong; Yongding Tao; Huanyu Liu; Zhi Jin; Wenpin Jiao; Ge Li 001 (CoRR, 2024)

Why language models collapse when trained on recursively generated text. - Lecheng Wang; Xianjie Shi; Ge Li 001; Jia Li 012; Yihong Dong; Xuanming Zhang; Wenpin Jiao; Hong Mei 001 (CoRR, 2024)

Re-tear after arthroscopic rotator cuff repair can be predicted using deep learning algorithm. - Zhewei Zhang; Chunhai Ke; Zhibin Zhang; Yujiong Chen; Hangbin Weng; Jieyang Dong; Mingming Hao; Botao Liu; Minzhe Zheng; Jin Li; Shaohua Ding; Yihong Dong; et al. (Frontiers Artif. Intell., 2024)

Animation line art colorization based on the optical flow method. - Yifeng Yu; Jiangbo Qian; Chong Wang 001; Yihong Dong; Baisong Liu (Comput. Animat. Virtual Worlds, 2024)

A novel study for depression detecting using audio signals based on graph neural network. - Chenjian Sun; Min Jiang; Linlin Gao; Yu Xin; Yihong Dong (Biomed. Signal Process. Control., 2024)

A Graph Contrastive Learning Model Based on Structural and Semantic View for HIN Recommendation. - Ruowang Yu; Yu Xin; Yihong Dong; Jiangbo Qian (Neural Process. Lett., 2024)

Self-Collaboration Code Generation via ChatGPT. - Yihong Dong; Xue Jiang; Zhi Jin; Ge Li 001 (ACM Trans. Softw. Eng. Methodol., 2024)

Self-Planning Code Generation with Large Language Models. - Xue Jiang; Yihong Dong; Lecheng Wang; Zheng Fang; Qiwei Shang; Ge Li 001; Zhi Jin; Wenpin Jiao (ACM Trans. Softw. Eng. Methodol., 2024)

Swin transformer-based traffic video text tracking. - Jinyao Yu; Jiangbo Qian; Yu Xin; Chong Wang 001; Yihong Dong (Appl. Intell., 2024)

Rethinking Repetition Problems of LLMs in Code Generation. - Yihong Dong; Yuchen Liu; Xue Jiang; Bin Gu; Zhi Jin; Ge Li (ACL (1), 2025)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs. - Kaibo Liu; Zhenpeng Chen; Yiyang Liu; Jie M. Zhang; Mark Harman; Yudong Han; Yun Ma 002; Yihong Dong; Ge Li 001; Gang Huang 001 (ACL (1), 2025)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code. - Kechi Zhang; Ge Li 001; Yihong Dong; Jingjing Xu; Jun Zhang; Jing Su; Yongfei Liu; Zhi Jin (ACL (1), 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li 011; Yihong Dong; Zhi Jin (ACL (Findings), 2025)

BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition. - Quanjiang Guo; Yihong Dong; Ling Tian; Zhao Kang 001; Yu Zhang 193; Sijie Wang (COLING, 2025)

A Novel Audio-Visual Multimodal Semi-Supervised Model Based on Graph Neural Networks for Depression Detection. - Yaqin Li; Chenjian Sun; Yihong Dong (ICASSP, 2025)

Adaptive Cross-Variable Spectral Filtering for Time Series Forecasting. - Zhi Cheng; Yihong Dong (ICIC (7), 2025)

UnCert-CoT: Uncertainty-Aware Chain-of-Thought for Code Generation with Large Language Model. - Yuqi Zhu; Ge Li 001; Xue Jiang; Jia Li 012; Hong Mei 001; Zhi Jin; Yihong Dong; Qibin Zheng (ICIC (23), 2025)

ROCODE: Integrating Backtracking Mechanism and Program Analysis in Large Language Models for Code Generation. - Xue Jiang; Yihong Dong; Yongding Tao; Huanyu Liu; Zhi Jin; Ge Li 001 (ICSE, 2025)

Predicting Postoperative Re-Tear of Arthroscopic Rotator Cuff Repair Using Artificial Intelligence on Imbalanced Data. - Zhibin Zhang; Zhewei Zhang; Zhaoxiang Peng; Yihong Dong (IEEE Access, 2025)

Multi-Temporal Granularity Concept Induction for semantically driven video summarization. - Junren Huang; Yu Xin; Jiangbo Qian; Yihong Dong (Expert Syst. Appl., 2025)

S2CA: Shared Concept Prototypes and Concept-level Alignment for text-video retrieval. - Yuxiao Li; Yu Xin; Jiangbo Qian; Yihong Dong (Neurocomputing, 2025)

FC-HGNN: A heterogeneous graph neural network based on brain functional connectivity for mental disorder identification. - Yuheng Gu; Shoubo Peng; Yaqin Li; Linlin Gao; Yihong Dong (Inf. Fusion, 2025)

ORC-GNN: A novel open set recognition based on graph neural network for multi-class classification of psychiatric disorders. - Yaqin Li; Yihong Dong; Shoubo Peng; Linlin Gao; Yu Xin (Inf. Fusion, 2025)

Multiscale Spectral Augmentation for Graph Contrastive Learning for fMRI analysis to diagnose psychiatric disease. - Chang Hu; Yihong Dong; Shoubo Peng (Knowl. Based Syst., 2025)

An Adaptive Dual-channel Multi-modal graph neural network for few-shot learning. - Jieyi Yang; Yihong Dong; Guoqing Li (Knowl. Based Syst., 2025)

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points. - Kechi Zhang; Ge Li 001; Jia Li; Yihong Dong; Jia Li; Zhi Jin (CoRR, 2025)

FANformer: Improving Large Language Models Through Effective Periodicity Modeling. - Yihong Dong; Ge Li 001; Xue Jiang; Yongding Tao; Kechi Zhang; Hao Zhu; Huanyu Liu; Jiazheng Ding; Jia Li 012; Jinliang Deng; Hong Mei 001 (CoRR, 2025)

aiXcoder-7B-v2: Training LLMs to Fully Utilize the Long Context in Repository-level Code Completion. - Jia Li 012; Hao Zhu; Huanyu Liu; Xianjie Shi; He Zong; Yihong Dong; Kechi Zhang; Siyuan Jiang; Zhi Jin; Ge Li 001 (CoRR, 2025)

Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs. - Yuqi Zhu; Ge Li 001; Xue Jiang; Jia Li; Hong Mei 001; Zhi Jin; Yihong Dong (CoRR, 2025)

LLMigrate: Transforming "Lazy" Large Language Models into Efficient Source Code Migrators. - Yuchen Liu; Junhao Hu; Yingdi Shan; Ge Li 001; Yanzhen Zou; Yihong Dong; Tao Xie 001 (CoRR, 2025)

Thinking Longer, Not Larger: Enhancing Software Engineering Agents via Scaling Test-Time Compute. - Yingwei Ma; Binhua Li; Yihong Dong; Xue Jiang; Rongyu Cao; Jue Chen; Fei Huang 002; Yongbin Li (CoRR, 2025)

CodeScore: Evaluating Code Generation by Learning Code Execution. - Yihong Dong; Jiazheng Ding; Xue Jiang; Ge Li 001; Zhuo Li; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2025)

Rethinking Repetition Problems of LLMs in Code Generation. - Yihong Dong; Yuchen Liu; Xue Jiang; Zhi Jin; Ge Li 001 (CoRR, 2025)

SATURN: SAT-based Reinforcement Learning to Unleash Language Model Reasoning. - Huanyu Liu; Jia Li; Hao Zhu; Kechi Zhang; Yihong Dong; Ge Li 001 (CoRR, 2025)

Computational Thinking Reasoning in Large Language Models. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Jingjing Xu; Hao Zhu; Lecheng Wang; Jia Li; Yihong Dong; Jing Mai; Bin Gu; Zhi Jin (CoRR, 2025)

Large Language Model Unlearning for Source Code. - Xue Jiang; Yihong Dong; Zheng Fang; Yingwei Ma; Tangxinyu Wang; Rongyu Cao; Binhua Li; Zhi Jin; Wenpin Jiao; Yongbin Li; Ge Li 001 (CoRR, 2025)

StackTrans: From Large Language Model to Large Pushdown Automata Model. - Kechi Zhang; Ge Li 001; Jia Li; Huangzhao Zhang; Yihong Dong; Jia Li; Jingjing Xu; Zhi Jin (CoRR, 2025)

A Survey on Code Generation with LLM-based Agents. - Yihong Dong; Xue Jiang; Jiaru Qian; Tian Wang; Kechi Zhang; Zhi Jin; Ge Li (CoRR, 2025)

RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Yihong Dong; Xue Jiang; Yongding Tao; Huanyu Liu; Kechi Zhang; Lili Mou; Rongyu Cao; Yingwei Ma; Jue Chen; Binhua Li; Zhi Jin; Fei Huang 002; et al. (CoRR, 2025)

EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning. - Huanyu Liu; Jia Li; Chang Yu; Taozhi Chen; Yihong Dong; Lecheng Wang; XiaoLong Hu; Ge Li (CoRR, 2025)