Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework. - Xiang Li 012; Huaimin Wang; Gang Yin; Tao Wang 006; Cheng Yang 004; Yue Yu 001; Dengqing Tang (ADMA, 2012)

Mining and recommending software features across multiple web repositories. - Yue Yu 001; Huaimin Wang; Gang Yin; Bo Liu (Internetware, 2013)

HESA: The Construction and Evaluation of Hierarchical Software Feature Repository. - Yue Yu 001; Huaimin Wang; Gang Yin; Xiang Li 012; Cheng Yang 004 (SEKE, 2013)

A Trusted Remote Attestation Model Based on Trusted Computing. - Yue Yu 001; Huaimin Wang; Bo Liu; Gang Yin (TrustCom/ISPA/IUCC, 2013)

Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration. - Yue Yu 001; Huaimin Wang; Gang Yin; Charles X. Ling (APSEC (1), 2014)

A Exploratory Study of @-Mention in GitHub's Pull-Requests. - Yang Zhang 026; Gang Yin; Yue Yu 001; Huaimin Wang (APSEC (1), 2014)

Reviewer Recommender of Pull-Requests in GitHub. - Yue Yu 001; Huaimin Wang; Gang Yin; Charles X. Ling (ICSME, 2014)

Exploring the patterns of social behavior in GitHub. - Yue Yu 001; Gang Yin; Huaimin Wang; Tao Wang 006 (CrowdSoft@SIGSOFT FSE, 2014)

Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails. - Yang Zhang 026; Gang Yin; Yue Yu 001; Huaimin Wang (CrowdSoft@SIGSOFT FSE, 2014)

Exploring the Use of @-mention to Assist Software Development in GitHub. - Yang Zhang 026; Huaimin Wang; Gang Yin; Tao Wang 006; Yue Yu 001 (Internetware, 2015)

Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study. - Yang Zhang 026; Gang Yin; Tao Wang 006; Yue Yu 001; Huaimin Wang (Internetware, 2015)

Wait for It: Determinants of Pull Request Evaluation Latency on GitHub. - Yue Yu 001; Huaimin Wang; Vladimir Filkov; Premkumar T. Devanbu; Bogdan Vasilescu (MSR, 2015)

Quality and productivity outcomes relating to continuous integration in GitHub. - Bogdan Vasilescu; Yue Yu 001; Huaimin Wang; Premkumar T. Devanbu; Vladimir Filkov (ESEC/SIGSOFT FSE, 2015)

OSSEAN: Mining Crowd Wisdom in Open Source Communities. - Gang Yin; Tao Wang 006; Huaimin Wang; Qiang Fan; Yang Zhang 026; Yue Yu 001; Cheng Yang 004 (SOSE, 2015)

Determinants of pull-based development in the context of continuous integration. - Yue Yu 001; Gang Yin; Tao Wang 006; Cheng Yang 004; Huaimin Wang (Sci. China Inf. Sci., 2016)

Initial and Eventual Software Quality Relating to Continuous Integration in GitHub. - Yue Yu 001; Bogdan Vasilescu; Huaimin Wang; Vladimir Filkov; Premkumar T. Devanbu (CoRR, 2016)

Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment? - Yue Yu 001; Huaimin Wang; Gang Yin; Tao Wang 006 (Inf. Softw. Technol., 2016)

Where Is the Road for Issue Reports Classification Based on Text Mining? - Qiang Fan; Yue Yu 001; Gang Yin; Tao Wang 006; Huaimin Wang (ESEM, 2017)

DevRec: A Developer Recommendation System for Open Source Repositories. - Xunhui Zhang; Tao Wang 006; Gang Yin; Cheng Yang 004; Yue Yu 001; Huaimin Wang (ICSR, 2017)

Detecting Duplicate Pull-requests in GitHub. - Zhixing Li; Gang Yin; Yue Yu 001; Tao Wang 006; Huaimin Wang (Internetware, 2017)

Automatic Classification of Review Comments in Pull-based Development Model. - Zhixing Li; Yue Yu 001; Gang Yin; Tao Wang 006; Qiang Fan; Huaimin Wang (SEKE, 2017)

Social media in GitHub: the role of @-mention in assisting software development. - Yang Zhang 026; Huaimin Wang; Gang Yin; Tao Wang 006; Yue Yu 001 (Sci. China Inf. Sci., 2017)

What Are They Talking About? Analyzing Code Reviews in Pull-Based Development Model. - Zhixing Li; Yue Yu 001; Gang Yin; Tao Wang 006; Huaimin Wang (J. Comput. Sci. Technol., 2017)

Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model. - Dongyang Hu; Ming Chen; Tao Wang 006; Junsheng Chang; Gang Yin; Yue Yu 001; Yang Zhang 026 (APSEC, 2018)

An Insight Into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency. - Yang Zhang 026; Gang Yin; Tao Wang 006; Yue Yu 001; Huaimin Wang (COMPSAC (1), 2018)

Building a Cloud-Ready Program: A highly scalable Implementation based on Kubernetes. - Qiankun Li; Gang Yin; Tao Wang 006; Yue Yu 001 (ICAIP, 2018)

Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World. - Yarong Zeng; Yue Yu 001; Qiang Fan; Xunhui Zhang; Tao Wang 006; Gang Yin; Huaimin Wang (ICONIP (4), 2018)

A Hybrid Approach for Tag Hierarchy Construction. - Shangwen Wang; Tao Wang 006; Xiaoguang Mao; Gang Yin; Yue Yu 001 (ICSR, 2018)

Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase Behaviors. - Tao Wang 006; Yang Zhang 026; Gang Yin; Yue Yu 001; Huaimin Wang (Internetware, 2018)

Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study. - Yue Yu 001; Yarong Zeng; Qiang Fan; Huaimin Wang (Internetware, 2018)

Within-ecosystem issue linking: a large-scale study of rails. - Yang Zhang 026; Yue Yu 001; Huaimin Wang; Bogdan Vasilescu; Vladimir Filkov (SoftwareMining@ASE, 2018)

A dataset of duplicate pull-requests in github. - Yue Yu 001; Zhixing Li; Gang Yin; Tao Wang 006; Huaimin Wang (MSR, 2018)

Adaptive software search toward users' customized requirements in GitHub. - Jinze Liu; Zhixing Li; Tao Wang 006; Yue Yu 001; Gang Yin (SEKE, 2018)

An Initial Step Towards Organ Transplantation Based on GitHub Repository. - Shangwen Wang; Xiaoguang Mao; Yue Yu 001 (IEEE Access, 2018)

Correlation-based software search by leveraging software term database. - Zhixing Li; Gang Yin; Tao Wang 006; Yang Zhang 026; Yue Yu 001; Huaimin Wang (Frontiers Comput. Sci., 2018)

History-Driven Fix for Code Quality Issues. - Jiangtao Xue; Xinjun Mao; Yao Lu 003; Yue Yu 001; Shangwen Wang (IEEE Access, 2019)

Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects. - Dongyang Hu; Yang Zhang 026; Junsheng Chang; Gang Yin; Yue Yu 001; Tao Wang 006 (Inf. Softw. Technol., 2019)

RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories. - Cheng Yang 004; Qiang Fan; Tao Wang 006; Gang Yin; Xunhui Zhang; Yue Yu 001; Huaimin Wang (Frontiers Inf. Technol. Electron. Eng., 2019)

Sia-RAE: A Siamese Network based on Recursive AutoEncoder for Effective Clone Detection. - Chenhui Feng; Tao Wang 006; Yue Yu 001; Yang Zhang 026; Yanzhi Zhang; Huaimin Wang (APSEC, 2020)

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup. - Rongzhi Zhang; Yue Yu 001; Chao Zhang 014 (EMNLP (1), 2020)

Software visualization and deep transfer learning for effective software defect prediction. - Jinyin Chen; Keke Hu; Yue Yu 001; Zhuangzhi Chen; Qi Xuan 001; Yi Liu 024; Vladimir Filkov (ICSE, 2020)

An Empirical Study of Multi-discussing Pattern in Open-Source Software Development. - Cheng Yang 004; Dongyang Hu; Yang Zhang 026; Tao Wang 006; Yue Yu 001 (Internetware, 2020)

BugSum: Deep Context Understanding for Bug Report Summarization. - Haoran Liu; Yue Yu 001; Shanshan Li 001; Yong Guo; Deze Wang; Xiaoguang Mao (ICPC, 2020)

CP-Detector: Using Configuration-related Performance Properties to Expose Performance Bugs. - Haochen He; Zhouyang Jia; Shanshan Li 001; Erci Xu; Tingting Yu 001; Yue Yu 001; Ji Wang 001; Xiangke Liao (ASE, 2020)

BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision. - Chen Liang 006; Yue Yu 001; Haoming Jiang; Siawpeng Er; Ruijia Wang; Tuo Zhao; Chao Zhang 014 (KDD, 2020)

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths. - Yue Yu 001; Yinghao Li; Jiaming Shen; Hao Feng; Jimeng Sun 001; Chao Zhang 014 (KDD, 2020)

On the Shoulders of Giants: A New Dataset for Pull-based Development Research. - Xunhui Zhang; Ayushi Rastogi; Yue Yu 001 (MSR, 2020)

Automatic Voter Recommendation Method for Closing Questions in Stack Overflow. - Zhang Zhang 005; Xinjun Mao; Yao Lu 003; Jinyu Lu; Yue Yu 001; Zhixing Li (Int. J. Softw. Eng. Knowl. Eng., 2020)

Detecting Adversarial Samples with Graph-Guided Testing. - Zuohui Chen; Renxuan Wang; Jingyang Xiang; Yue Yu 001; Xin Xia 001; Shouling Ji; Qi Xuan 001; Xiaoniu Yang (ASE, 2021)

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach. - Yue Yu 001; Simiao Zuo; Haoming Jiang; Wendi Ren; Tuo Zhao; Chao Zhang 014 (NAACL-HLT, 2021)

WRENCH: A Comprehensive Benchmark for Weak Supervision. - Jieyu Zhang 001; Yue Yu 001; Yinghao Li; Yujing Wang; Yaming Yang 001; Mao Yang 004; Alexander Ratner (NeurIPS Datasets and Benchmarks, 2021)

MulCode: A Multi-task Learning Approach for Source Code Understanding. - Deze Wang; Yue Yu 001; Shanshan Li 001; Wei Dong 006; Ji Wang 001; Qing Liao 001 (SANER, 2021)

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization. - Yue Yu 001; Kexin Huang; Chao Zhang 014; Lucas M. Glass; Jimeng Sun 001; Cao Xiao (Bioinform., 2021)

Why API documentation is insufficient for developers: an empirical study. - Qiang Fan; Yue Yu 001; Tao Wang 006; Gang Yin; Huaimin Wang (Sci. China Inf. Sci., 2021)

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. - Chen Zeng; Yue Yu 001; Shanshan Li 001; Xin Xia 001; Zhiming Wang; Mingyang Geng; Bailin Xiao; Wei Dong 006; Xiangke Liao (CoRR, 2021)

PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation. - Wei Zeng 006; Xiaozhe Ren; Teng Su; Hui Wang 030; Yi Liao; Zhiwei Wang; Xin Jiang 002; ZhenZhang Yang; Kaisheng Wang; Xiaoda Zhang; Chen Li 023; Ziyan Gong; et al. (CoRR, 2021)

Pull Request Decision Explained: An Empirical Overview. - Xunhui Zhang; Yue Yu 001; Georgios Gousios; Ayushi Rastogi (CoRR, 2021)

ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (CoRR, 2021)

How to cherry pick the bug report for better summarization? - Haoran Liu; Yue Yu 001; Shanshan Li 001; Mingyang Geng; Xiaoguang Mao; Xiangke Liao (Empir. Softw. Eng., 2021)

Dual Channel Among Task and Contribution on OSS Communities: An Empirical Study. - Yu Zhang; Yue Yu 001; Tao Wang 006; Zhixing Li; Xiaochuan Wang (Int. J. Softw. Eng. Knowl. Eng., 2021)

Detecting Duplicate Contributions in Pull-Based Model Combining Textual and Change Similarities. - Zhixing Li; Yue Yu 001; Tao Wang 006; Gang Yin; Xinjun Mao; Huaimin Wang (J. Comput. Sci. Technol., 2021)

Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues. - Weijiang Feng; Long Lan; Yong Luo 002; Yue Yu 001; Xiang Zhang 008; Zhigang Luo (IEEE Trans. Circuits Syst. Video Technol., 2021)

Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (ACL (1), 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract). - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (IEEE Big Data, 2022)

Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism. - Xunhui Zhang; Tao Wang 006; Yue Yu 001; Qiubing Zeng; Zhixing Li; Huaimin Wang (CHI, 2022)

COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (EMNLP, 2022)

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. - Yuchen Zhuang; Yinghao Li; Junyang Zhang; Yue Yu 001; Yingjun Mou; Xiang Chen 010; Le Song; Chao Zhang 014 (EMNLP, 2022)

Multi-Intention-Aware Configuration Selection for Performance Tuning. - Haochen He; Zhouyang Jia; Shanshan Li 001; Yue Yu 001; Chenglong Zhou; Qing Liao 001; Ji Wang 001; Xiangke Liao (ICSE, 2022)

Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding. - Deze Wang; Zhouyang Jia; Shanshan Li 001; Yue Yu 001; Yun Xiong; Wei Dong 006; Xiangke Liao (ICSE, 2022)

A Universal Data Augmentation Approach for Fault Localization. - Huan Xie 002; Yan Lei; Meng Yan 001; Yue Yu 001; Xin Xia 001; Xiaoguang Mao (ICSE, 2022)

NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification. - Haibin Zheng; Zhiqing Chen; Tianyu Du; Xuhong Zhang 002; Yao Cheng 002; Shouling Ji; Jingyi Wang 004; Yue Yu 001; Jinyin Chen (ICSE, 2022)

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. - Zhuo Zhang 007; Yan Lei; Meng Yan 001; Yue Yu 001; Jiachi Chen; Shangwen Wang; Xiaoguang Mao (ASE, 2022)

Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR. - Ran Xu 002; Yue Yu 001; Chao Zhang 014; Mohammed K. Ali; Joyce C. Ho; Carl Yang 001 (ML4H@NeurIPS, 2022)

AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models. - Yue Yu 001; Lingkai Kong; Jieyu Zhang 001; Rongzhi Zhang; Chao Zhang 014 (NAACL-HLT, 2022)

Self-Training with Differentiable Teacher. - Simiao Zuo; Yue Yu 001; Chen Liang 006; Haoming Jiang; Siawpeng Er; Chao Zhang 014; Tuo Zhao; Hongyuan Zha (NAACL-HLT (Findings), 2022)

OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms. - Jia-Xin Zhuang; Xiansong Huang; Yang Yang 002; Jiancong Chen; Yue Yu 001; Wei Gao 003; Ge Li 002; Jie Chen 001; Tong Zhang 017 (PRCV (1), 2022)

A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model. - Zeting Pan; Yue Yu 001; Junsheng Chang (SEKE, 2022)

HAF: a hybrid annotation framework based on expert knowledge and learning technique. - Zhixing Li; Yue Yu 001; Tao Wang 006; Gang Yin; Xinjun Mao; Huaimin Wang (Sci. China Inf. Sci., 2022)

A Survey on Programmatic Weak Supervision. - Jieyu Zhang 001; Cheng-Yu Hsieh; Yue Yu 001; Chao Zhang 014; Alexander Ratner (CoRR, 2022)

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. - Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Zhenguang Liu; Qi Xuan 001; Yue Yu 001; Yao Cheng 002 (CoRR, 2022)

The Development and Prospect of Code Clone. - Xunhui Zhang; Tao Wang 006; Yue Yu 001; Yanzhi Zhang; Yan Zhong 004; Huaimin Wang (CoRR, 2022)

PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Pranav Shetty; Le Song; Chao Zhang 014 (CoRR, 2022)

Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (CoRR, 2022)

ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select. - Yuchen Zhuang; Yinghao Li; Jerry Junyang Cheung; Yue Yu 001; Yingjun Mou; Xiang Chen 010; Le Song; Chao Zhang 014 (CoRR, 2022)

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning. - Yue Yu 001; Chenyan Xiong; Si Sun; Chao Zhang 014; Arnold Overwijk (CoRR, 2022)

Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (CoRR, 2022)

FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction. - Tanghaoran Zhang; Yue Yu 001; Xinjun Mao; Yao Lu 003; Zhixing Li; Huaimin Wang (Empir. Softw. Eng., 2022)

Pull request latency explained: an empirical overview. - Xunhui Zhang; Yue Yu 001; Tao Wang 006; Ayushi Rastogi; Huaimin Wang (Empir. Softw. Eng., 2022)

Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study. - Zhixing Li; Yue Yu 001; Tao Wang 006; Shanshan Li 001; Huaimin Wang (Proc. ACM Hum. Comput. Interact., 2022)

Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. - Yuqing Ma; Shihao Bai; Wei Liu 005; Shuo Wang 008; Yue Yu 001; Xiao Bai 001; Xianglong Liu 001; Meng Wang 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Are You Still Working on This? An Empirical Study on Pull Request Abandonment. - Zhixing Li; Yue Yu 001; Tao Wang 006; Gang Yin; ShanShan Li 001; Huaimin Wang (IEEE Trans. Software Eng., 2022)

Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects. - Zhixing Li; Yue Yu 001; Minghui Zhou 001; Tao Wang 006; Gang Yin; Long Lan; Huaimin Wang (IEEE Trans. Software Eng., 2022)

Neighborhood-Regularized Self-Training for Learning with Few Labels. - Ran Xu 002; Yue Yu 001; Hejie Cui; Xuan Kan; Yanqiao Zhu 001; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (AAAI, 2023)

Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach. - Yue Yu 001; Rongzhi Zhang; Ran Xu 002; Jieyu Zhang 001; Jiaming Shen; Chao Zhang 014 (ACL (1), 2023)

ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval. - Yue Yu 001; Yuchen Zhuang; Rongzhi Zhang; Yu Meng 001; Jiaming Shen; Chao Zhang 014 (ACL (Findings), 2023)

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. - Zhuo Zhang 007; Yuanhang Yang; Yong Dai 001; Qifan Wang 001; Yue Yu 001; Lizhen Qu; Zenglin Xu (ACL (Findings), 2023)

On the Reliability of Coverage Data for Fault Localization. - Huan Xie 002; Maojin Li; Yan Lei; Jian Hu; Shanshan Li 001; Xiaoguang Mao; Yue Yu 001 (APSEC, 2023)

Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension. - Shuzheng Gao; Cuiyun Gao 001; Chaozheng Wang; Jun Sun 001; David Lo 001; Yue Yu 001 (ICSE, 2023)

Understanding and Detecting On-The-Fly Configuration Bugs. - Teng Wang 004; Zhouyang Jia; Shanshan Li 001; Si Zheng 003; Yue Yu 001; Erci Xu; Shaoliang Peng; Xiangke Liao (ICSE, 2023)

Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis. - Yue Yu 001; Xuan Kan; Hejie Cui; Ran Xu 002; Yujia Zheng 001; Xiangchen Song; Yanqiao Zhu 001; Kun Zhang 001; Razieh Nabi; Ying Guo 003; Chao Zhang 014; Carl Yang 001 (ISBI, 2023)

A Two-Stage Framework for Ambiguous Classification in Software Engineering. - Jiaying Li; Yan Lei; Shanshan Li 001; Haifang Zhou; Yue Yu 001; Zhouyang Jia; Yingwei Ma; Teng Wang 004 (ISSRE, 2023)

R-Mixup: Riemannian Mixup for Biological Networks. - Xuan Kan; Zimu Li; Hejie Cui; Yue Yu 001; Ran Xu 002; Shaojun Yu; Zilong Zhang; Ying Guo 003; Carl Yang 001 (KDD, 2023)

Local Boosting for Weakly-Supervised Learning. - Rongzhi Zhang; Yue Yu 001; Jiaming Shen; Xiquan Cui; Chao Zhang 014 (KDD, 2023)

DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling. - Yuchen Zhuang; Yue Yu 001; Lingkai Kong; Xiang Chen 010; Chao Zhang 014 (KDD, 2023)

Mask Again: Masked Knowledge Distillation for Masked Video Modeling. - Xiaojie Li; Shaowei He; Jianlong Wu; Yue Yu 001; Liqiang Nie; Min Zhang 005 (ACM Multimedia, 2023)

Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. - Xiaojie Li; Jianlong Wu; Shaowei He; Shuo Kang; Yue Yu 001; Liqiang Nie; Min Zhang 005 (ACM Multimedia, 2023)

Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms. - Alexander Bukharin; Yan Li; Yue Yu 001; Qingru Zhang; Zhehui Chen; Simiao Zuo; Chao Zhang 014; Songan Zhang; Tuo Zhao (NeurIPS, 2023)

Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting. - Hejie Cui; Xinyu Fang; Zihan Zhang; Ran Xu 002; Xuan Kan; Xin Liu 039; Yue Yu 001; Manling Li; Yangqiu Song; Carl Yang 001 (NeurIPS, 2023)

Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias. - Yue Yu 001; Yuchen Zhuang; Jieyu Zhang 001; Yu Meng 001; Alexander J. Ratner; Ranjay Krishna; Jiaming Shen; Chao Zhang 014 (NeurIPS, 2023)

ToolQA: A Dataset for LLM Question Answering with External Tools. - Yuchen Zhuang; Yue Yu 001; Kuan Wang; Haotian Sun; Chao Zhang 014 (NeurIPS, 2023)

Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training. - Ran Xu 002; Yue Yu 001; Joyce C. Ho; Carl Yang 001 (SIGIR, 2023)

Can Machine Learning Pipelines Be Better Configured? - Yibo Wang 008; Ying Wang 038; Tingwei Zhang; Yue Yu 001; Shing-Chi Cheung; Hai Yu 001; Zhiliang Zhu 001 (ESEC/SIGSOFT FSE, 2023)

Practical privacy-preserving Gaussian process regression via secret sharing. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Shuang Qin; Hui Wang 013; Yue Yu 001; Zenglin Xu (UAI, 2023)

MulCS: Towards a Unified Deep Representation for Multilingual Code Search. - Yingwei Ma; Yue Yu 001; Shanshan Li 001; Zhouyang Jia; Jun Ma 015; Rulin Xu; Wei Dong 006; Xiangke Liao (SANER, 2023)

Ginver: Generative Model Inversion Attacks Against Collaborative Inference. - Yupeng Yin; Xianglong Zhang; Huanle Zhang; Feng Li 002; Yue Yu 001; Xiuzhen Cheng 001; Pengfei Hu 001 (WWW, 2023)

Stochastic Clustered Federated Learning. - Dun Zeng; Xiangjing Hu; Shiyu Liu; Yue Yu 001; Qifan Wang 001; Zenglin Xu (CoRR, 2023)

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises. - Hejie Cui; Jiaying Lu 001; Shiyu Wang 002; Ran Xu 002; Wenjing Ma; Shaojun Yu; Yue Yu 001; Xuan Kan; Chen Ling 003; Joyce C. Ho; Fei Wang; Carl Yang 001 (CoRR, 2023)

MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (CoRR, 2023)

Personalized Federated Learning via Amortized Bayesian Meta-Learning. - Shiyu Liu; Shaogao Lv; Dun Zeng; Zenglin Xu; Hui Wang 013; Yue Yu 001 (CoRR, 2023)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (CoRR, 2023)

On What Basis? Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Yao Zhao; Charu Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (CoRR, 2023)

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking. - Zhengyu Hu; Jieyu Zhang 001; Yue Yu 001; Yuchen Zhuang; Hui Xiong 001 (CoRR, 2023)

When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations. - Haochen He; Erci Xu; Shanshan Li 001; Zhouyang Jia; Si Zheng 003; Yue Yu 001; Jun Ma 015; Xiangke Liao (Proc. VLDB Endow., 2023)

Plumber: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem. - Ying Wang 038; Peng Sun; Lin Pei; Yue Yu 001; Chang Xu 001; Shing-Chi Cheung; Hai Yu 001; Zhiliang Zhu 001 (IEEE Trans. Software Eng., 2023)

Pull Request Decisions Explained: An Empirical Overview. - Xunhui Zhang; Yue Yu 001; Georgios Gousios; Ayushi Rastogi (IEEE Trans. Software Eng., 2023)

Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery. - Xiaoqi Wang; Yingjie Cheng; Yaning Yang; Yue Yu 001; Fei Li 040; Shaoliang Peng (Nat. Mac. Intell., 2023)

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search. - Chen Zeng; Yue Yu 001; Shanshan Li 001; Xin Xia 001; Zhiming Wang; Mingyang Geng; Linxiao Bai; Wei Dong 006; Xiangke Liao (ACM Trans. Softw. Eng. Methodol., 2023)

Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study. - Shuyao Jiang; Jiacheng Shen; Shengnan Wu; Yu Cai; Yue Yu 001; Yangfan Zhou 002 (IEEE Trans. Software Eng., 2023)

To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub. - Zhixing Li; Yue Yu 001; Tao Wang 006; Yan Lei; Ying Wang 038; Huaimin Wang (IEEE Trans. Software Eng., 2023)

Influential Global and Local Contexts Guided Trace Representation for Fault Localization. - Zhuo Zhang 007; Yan Lei; Ting Su 001; Meng Yan 001; Xiaoguang Mao; Yue Yu 001 (ACM Trans. Softw. Eng. Methodol., 2023)

Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons. - Haibo Jin; Ruoxi Chen; Haibin Zheng; Jinyin Chen; Yao Cheng 002; Yue Yu 001; Tieming Chen; Xianglong Liu 001 (Inf. Sci., 2023)

ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models. - Yuzhao Heng; Chunyuan Deng; Yitong Li; Yue Yu 001; Yinghao Li; Rongzhi Zhang; Chao Zhang 014 (ACL (Findings), 2024)

Multi-modal Stance Detection: New Datasets and Model. - Bin Liang 004; Ang Li 047; Jingqian Zhao; Lin Gui 003; Min Yang 007; Yue Yu 001; Kam-Fai Wong; Ruifeng Xu 001 (ACL (Findings), 2024)

SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC. - Jinglong Luo; Yehong Zhang; Zhuo Zhang 007; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (ACL (Findings), 2024)

Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models. - Ran Xu 002; Hejie Cui; Yue Yu 001; Xuan Kan; Wenqi Shi; Yuchen Zhuang; May Dongmei Wang; Wei Jin 009; Joyce C. Ho; Carl Yang 001 (ACL (Findings), 2024)

RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records. - Ran Xu 002; Wenqi Shi; Yue Yu 001; Yuchen Zhuang; Bowen Jin; May Dongmei Wang; Joyce C. Ho; Carl Yang 001 (ACL (Short Papers), 2024)

Predicting Text Preference Via Structured Comparative Reasoning. - Jing Nathan Yan; Tianqi Liu 002; Justin T. Chiu; Jiaming Shen; Zhen Qin 001; Yue Yu 001; Charumathi Lakshmanan; Yair Kurzion; Alexander M. Rush; Jialu Liu; Michael Bendersky (ACL (1), 2024)

Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning. - Yue Yu 001; Jiaming Shen; Tianqi Liu 002; Zhen Qin 001; Jing Nathan Yan; Jialu Liu; Chao Zhang 014; Michael Bendersky (ACL (1), 2024)

PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models. - Bang Yang; Yue Yu 001; Yuexian Zou; Tong Zhang 017 (CLEF (Working Notes), 2024)

Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. - Zhuo Zhang 007; Jintao Huang; Xiangjing Hu; Jingyuan Zhang; Yating Zhang; Hui Wang 013; Yue Yu 001; Qifan Wang 001; Lizhen Qu; Zenglin Xu (LREC/COLING, 2024)

HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification. - Vidit Jain; Mukund Rungta; Yuchen Zhuang; Yue Yu 001; Zeyu Wang; Mu Gao; Jeffrey Skolnick; Chao Zhang 014 (EACL (1), 2024)

GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. - Xiaojie Li; Yibo Yang; Xiangtai Li; Jianlong Wu; Yue Yu 001; Bernard Ghanem; Min Zhang 005 (ECCV (68), 2024)

BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers. - Ran Xu 002; Wenqi Shi; Yue Yu 001; Yuchen Zhuang; Yanqiao Zhu 001; May Dongmei Wang; Joyce C. Ho; Chao Zhang 014; Carl Yang 001 (EMNLP, 2024)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Haotian Sun; Hang Wu; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May Dongmei Wang (EMNLP, 2024)

Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation. - Zicong Hong; Jian Lin; Song Guo 001; Sifu Luo; Wuhui Chen; Roger Wattenhofer; Yue Yu 001 (EuroSys, 2024)

At Which Training Stage Does Code Data Help LLMs Reasoning? - Yingwei Ma; Yue Liu; Yue Yu 001; Yuanliang Zhang; Yu Jiang 001; Changjian Wang; Shanshan Li 001 (ICLR, 2024)

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization. - Xueyang Tang; Song Guo 001; Jingcai Guo; Jie Zhang 076; Yue Yu 001 (ICML, 2024)

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring. - Jiewei Zhang; Song Guo 001; Peiran Dong; Jie Zhang 076; Ziming Liu; Yue Yu 001; Xiao-Ming Wu (ICML, 2024)

SiFT: A Serial Framework with Textual Guidance for Federated Learning. - Xuyang Li; Weizhuo Zhang; Yue Yu 001; Wei-Shi Zheng 001; Tong Zhang 017; Ruixuan Wang (MICCAI (10), 2024)

HYDRA: Model Factorization Framework for Black-Box LLM Personalization. - Yuchen Zhuang; Haotian Sun; Yue Yu 001; Rushi Qiang; Qifan Wang 001; Chao Zhang 014; Bo Dai 001 (NeurIPS, 2024)

A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers. - Junlin Wei; Xiang Han; Jiangfeng Yu; Jinrong Jiang; Hailong Liu; Pengfei Lin; Maoxue Yu; Kai Xu; Lian Zhao; Pengfei Wang; Weipeng Zheng; Jingwei Xie; et al. (SC, 2024)

ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering. - Xiaohan Bi; Ruobing Zhao; Binhang Qi; Hailong Sun 001; Xiang Gao 012; Yue Yu 001; Xiaojun Liang (SIGSOFT FSE Companion, 2024)

Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation. - Xutao Guo; Yang Xiang 003; Yanwu Yang; Chenfei Ye; Yue Yu 001; Heather Ting Ma (Comput. Biol. Medicine, 2024)

GGT: Graph-guided testing for adversarial sample detection of deep neural network. - Zuohui Chen; Renxuan Wang; Jingyang Xiang; Yue Yu 001; Xin Xia 001; Shouling Ji; Qi Xuan 001; Xiaoniu Yang (Comput. Secur., 2024)

A Survey on Scheduling Techniques in Computing and Network Convergence. - Shujiong Tang; Yue Yu 001; Hui Wang 073; Guiliang Wang; Wuhui Chen; Zenglin Xu; Song Guo 001; Wen Gao 001 (IEEE Commun. Surv. Tutorials, 2024)

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. - Yuanzhao Zhai; Han Zhang 025; Yu Lei; Yue Yu 001; Kele Xu; Dawei Feng; Bo Ding; Huaimin Wang (CoRR, 2024)

SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models. - Jinglong Luo; Yehong Zhang; Jiaqi Zhang; Xin Mu; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2024)

EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Jieyu Zhang 001; Hang Wu; Yuanda Zhu; Joyce C. Ho; Carl Yang 001; May D. Wang (CoRR, 2024)

ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling. - Lingxi Zhang; Yue Yu 001; Kuan Wang; Chao Zhang 014 (CoRR, 2024)

MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning. - Wenqi Shi; Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Hang Wu; Carl Yang 001; May D. Wang (CoRR, 2024)

Online Self-Preferring Language Models. - Yuanzhao Zhai; Zhuo Zhang 007; Kele Xu; Hanyang Peng; Yue Yu 001; Dawei Feng; Cheng Yang 004; Bo Ding; Huaimin Wang (CoRR, 2024)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Streith-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (CoRR, 2024)

Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos. - Junlin Wei; Pengfei Lin; Jinrong Jiang; Hailong Liu; Lian Zhao; Yehong Zhang; Xiang Han; Feng Zhang 048; Jian Huang; Yuzhu Wang; Youyun Li; Yue Yu 001; et al. (Future Gener. Comput. Syst., 2024)

Efficient privacy-preserving Gaussian process via secure multi-party computation. - Shiyu Liu; Jinglong Luo; Yehong Zhang; Hui Wang 013; Yue Yu 001; Zenglin Xu (J. Syst. Archit., 2024)

Training and Serving System of Foundation Models: A Comprehensive Survey. - Jiahang Zhou; Yanyu Chen; Zicong Hong; Wuhui Chen; Yue Yu 001; Tao Zhang 096; Hui Wang 030; Chuanfu Zhang; Zibin Zheng (IEEE Open J. Comput. Soc., 2024)

Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs. - Haoran Liu; Zhouyang Jia; Shanshan Li 001; Yan Lei; Yue Yu 001; Yu Jiang 001; Xiaoguang Mao; Xiangke Liao (Proc. ACM Softw. Eng., 2024)

MUBen: Benchmarking the Uncertainty of Molecular Representation Models. - Yinghao Li; Lingkai Kong; Yuanqi Du; Yue Yu 001; Yuchen Zhuang; Wenhao Mu; Chao Zhang 014 (Trans. Mach. Learn. Res., 2024)

Re-Thinking the Effectiveness of Batch Normalization and Beyond. - Hanyang Peng; Yue Yu 001; Shiqi Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Intelligence-Endogenous Management Platform for Computing and Network Convergence. - Zicong Hong; Xiaoyu Qiu; Jian Lin; Wuhui Chen; Yue Yu 001; Hui Wang 030; Song Guo 001; Wen Gao 001 (IEEE Netw., 2024)

BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning. - Yanwu Yang; Chenfei Ye; Guinan Su; Ziyao Zhang 003; Zhikai Chang; Hairui Chen; Piu Chan; Yue Yu 001; Ting Ma 001 (IEEE Trans. Medical Imaging, 2024)

How Do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations. - Tanghaoran Zhang; Yao Lu 003; Yue Yu 001; Xinjun Mao; Yang Zhang 026; Yuxin Zhao (IEEE Trans. Software Eng., 2024)

Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. - Wentao Zhang 005; Yujun Huang; Weizhuo Zhang; Tong Zhang 017; Qicheng Lao; Yue Yu 001; Wei-Shi Zheng 001; Ruixuan Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning. - Huan Xie 002; Yan Lei; Meng Yan 001; Shanshan Li 001; Xiaoguang Mao; Yue Yu 001; David Lo 001 (IEEE Trans. Software Eng., 2024)

Correcting Large Language Model Behavior via Influence Function. - Han Zhang 025; Zhuo Zhang 007; Yi Zhang; Yuanzhao Zhai; Hanyang Peng; Yu Lei; Yue Yu 001; Hui Wang 030; Bin Liang 004; Lin Gui 003; Ruifeng Xu 001 (AAAI, 2025)

CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference. - Jinglong Luo; Guanzhong Chen; Yehong Zhang; Shiyu Liu; Hui Wang 013; Yue Yu 001; Xun Zhou 001; Yuan Qi 001; Zenglin Xu (ACL (1), 2025)

COPR: Continual Human Preference Learning via Optimal Policy Regularization. - Han Zhang 025; Lin Gui 003; Yu Lei; Yuanzhao Zhai; Yehong Zhang; Zhuo Zhang 007; Yulan He 001; Hui Wang 030; Yue Yu 001; Kam-Fai Wong; Bin Liang 004; Ruifeng Xu 001 (ACL (Findings), 2025)

PAMM: Adaptive Memory Management for CXL-/UB-Based Heterogeneous Memory Pooling Systems. - Jianqin Yan; Zhaoxiang Huang; Yue Yu 001; Zhenlong Song; Yiming Zhang 003 (APPT, 2025)

Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline. - Zhiyuan Fang; Yuegui Huang; Zicong Hong; Yufeng Lyu; Wuhui Chen; Yue Yu 001; Fan Yu; Zibin Zheng (ASPLOS (2), 2025)

Centrality-guided Pre-training for Graph. - Bin Liang 004; Shiwei Chen; Lin Gui 003; Hui Wang 030; Yue Yu 001; Ruifeng Xu 001; Kam-Fai Wong (ICLR, 2025)

Causally Motivated Sycophancy Mitigation for Large Language Models. - Haoxi Li; Xueyang Tang; Jie Zhang 076; Song Guo 001; Sikai Bai; Peiran Dong; Yue Yu 001 (ICLR, 2025)

Efficient Evolutionary Search Over Chemical Space with Large Language Models. - Haorui Wang; Marta Skreta; Cher Tian Ser; Wenhao Gao 001; Lingkai Kong; Felix Strieth-Kalthoff; Chenru Duan; Yuchen Zhuang; Yue Yu 001; Yanqiao Zhu 001; Yuanqi Du; Alán Aspuru-Guzik; et al. (ICLR, 2025)

Multimodal Emotion Recognition in Conversations via Graph Structure Learning. - Feng Xiong; Geng Tu; Yice Zhang; Jun Wang 012; Shiwei Chen; Bin Liang 004; Yue Yu 001; Min Yang 007; Ruifeng Xu 001 (ICME, 2025)

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering. - Tanghaoran Zhang; Yue Yu 001; Xinjun Mao; Shangwen Wang; Kang Yang 001; Yao Lu 003; Zhang Zhang 005; Yuxin Zhao (ICSE, 2025)

Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models. - Yuanzhao Zhai; Zhuo Zhang 007; Cheng Yang 004; Kele Xu; Yue Yu 001; Wei Li; Hui Wang 030; Zenglin Xu; Dawei Feng; Bo Ding; Huaimin Wang (SIGIR, 2025)

Obscura: Concealing Recomputation Overhead in Training of Large Language Models with Bubble-filling Pipeline Transformation. - Yuzhou Huang; Yapeng Jiang; Zicong Hong; Wuhui Chen; Bin Wang 034; Weixi Zhu; Yue Yu 001; Zibin Zheng (USENIX ATC, 2025)

A Structure-Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis. - Xutao Guo; Chenfei Ye; Mingkai Zhang; Xingyu Hao; Yanwu Yang; Yue Yu 001; Heather Ting Ma; Ying Han (Int. J. Imaging Syst. Technol., 2025)

A review on knowledge graphs for healthcare: Resources, applications, and promises. - Hejie Cui; Jiaying Lu 001; Ran Xu 002; Shiyu Wang 002; Wenjing Ma; Yue Yu 001; Shaojun Yu; Xuan Kan; Chen Ling 003; Liang Zhao 002; Zhaohui S. Qin; Joyce C. Ho; et al. (J. Biomed. Informatics, 2025)

StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation. - Dun Zeng; Xiangjing Hu; Shiyu Liu; Yue Yu 001; Qifan Wang 001; Zenglin Xu (Neural Networks, 2025)

Are External Contributions Important to Project Productivity in Open Source Software? A Deep Insight based on Issue Entropy. - Yang Shen; Tao Wang 158; Xunhui Zhang; Yang Zhang 026; Cheng Yang 004; Yue Yu 001; Huaimin Wang (Proc. ACM Hum. Comput. Interact., 2025)

Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. - Xiaojie Li; Yibo Yang; Jianlong Wu; David A. Clifton; Yue Yu 001; Bernard Ghanem; Min Zhang 005 (CoRR, 2025)

Accurate Expert Predictions in MoE Inference via Cross-Layer Gate. - Zhiyuan Fang; Zicong Hong; Yuegui Huang; Yufeng Lyu; Wuhui Chen; Yue Yu 001; Fan Yu; Zibin Zheng (CoRR, 2025)

RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation. - Hanbo Bi; Yingchao Feng; Boyuan Tong; Mengyu Wang; Haichen Yu; Yongqiang Mao; Hao Chang; Wenhui Diao; Peijin Wang; Yue Yu 001; Hanyang Peng; Yehong Zhang; et al. (CoRR, 2025)

Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. - Ran Xu 002; Wenqi Shi; Yuchen Zhuang; Yue Yu 001; Joyce C. Ho; Haoyu Wang 003; Carl Yang 001 (CoRR, 2025)

MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale. - Ran Xu 002; Yuchen Zhuang; Yishan Zhong; Yue Yu 001; Xiangru Tang; Hang Wu; May D. Wang; Peifeng Ruan; Donghan Yang; Tao Wang 006; Guanghua Xiao; Carl Yang 001; et al. (CoRR, 2025)

SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes. - Jinglong Luo; Zhuo Zhang 007; Yehong Zhang; Shiyu Liu; Ye Dong; Xun Zhou 001; Hui Wang 013; Yue Yu 001; Zenglin Xu (CoRR, 2025)

Simple Convergence Proof of Adam From a Sign-like Descent Perspective. - Hanyang Peng; Shuang Qin; Yue Yu 001; Fangqing Jiang; Hui Wang; Zhouchen Lin (CoRR, 2025)

SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam. - Hanyang Peng; Shuang Qin; Yue Yu 001; Fangqing Jiang; Hui Wang 030; Wen Gao 001 (CoRR, 2025)

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation. - Ran Xu 002; Yuchen Zhuang; Yue Yu 001; Haoyu Wang 003; Wenqi Shi; Carl Yang 001 (CoRR, 2025)

NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models. - Xiaohan Bi; Binhang Qi; Hailong Sun 001; Xiang Gao 012; Yue Yu 001; Xiaojun Liang (CoRR, 2025)

Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning. - Dexia Chen; Qianjie Zhu; Weibing Li; Yue Yu 001; Tong Zhang 017; Ruixuan Wang (CoRR, 2025)

GenView++: Unifying Adaptive View Generation and Quality-Driven Supervision for Contrastive Representation Learning. - Xiaojie Li; Bei Wang; Jianlong Wu; Yue Yu 001; Liqiang Nie; Min Zhang 005 (CoRR, 2025)

AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play. - Ran Xu 002; Yuchen Zhuang; Zihan Dong; Jonathan Wang; Yue Yu 001; Joyce C. Ho; Linjun Zhang; Haoyu Wang 003; Wenqi Shi; Carl Yang 001 (CoRR, 2025)

Towards to real world vehicle privacy protection: A new dataset and benchmark. - Jiayi Lin 010; Chengming Zou; Long Lan; Yong Luo 002; Yue Yu 001; Yaowei Wang 001; Wei Zeng 006; Yonghong Tian 001 (Pattern Recognit., 2026)