Yue Yu

269 papers A* 44A 18B 3C 8Journal 146Unranked 50
YearRankTypeTitle / Venue / Authors
2026 J jnl
AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation.
CoRR
Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2026 J jnl
Coding in a Bubble? Evaluating LLMs in Resolving Context Adaptation Bugs During Code Adaptation.
CoRR
Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Zezhou Tang, Wenyu Xu, Longfei Sun, Changrong Xie, Kang Yang, Yue Yu
2026 A conf
Crimson: Collaborative Parameter Updates for Efficient Pipeline Training of Large Language Models.
EuroSys
Yapeng Jiang, Wuhui Chen, Ganhong Huang, Yuzhou Huang, Zicong Hong, Song Guo, Yue Yu
2026 J jnl
Cryptography-based privacy-preserving large language models: a lifecycle survey of frameworks, methods, and future directions.
Artif. Intell. Rev.
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Shiyu Liu, Ye Dong, Haoran Li, Yue Yu, Hui Wang, Xun Zhou, Zenglin Xu
2026 A* conf
Fate: Fasss sEsdge Inference of Mixture-of-Experts Models via Cross-Layer Gate.
WWW
Zhiyuan Fang, Xingfan Yu, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu
2026 J jnl
MIRE: A medical information enhanced framework for long-tail medical dialogue synthesis.
Expert Syst. Appl.
Bo Lv, Chen Tang, Nayu Liu, Guoxin Yu, Xin Liu, Riyan Zhang, Yue Yu
2026 A conf
ParaSync: Exploiting Fine-Grained Parallelism for Efficient File Synchronization.
FAST
Zhihao Zhang, Lu Tang, Huiba Li, Yue Yu, Guangtao Xue, Jiwu Shu, Yiming Zhang
2026 J jnl
Retrieving on a topic graph for long document question answering.
Neurocomputing
Shiwei Chen, Bin Liang, Yue Yu, Kam-Fai Wong, Hui Wang, Ruifeng Xu
2026 J jnl
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanbo Bi, Yingchao Feng, Boyuan Tong, Mengyu Wang, Haichen Yu, Yongqiang Mao, Hao Chang, Wenhui Diao, Peijin Wang, Yue Yu, Hanyang Peng, Yehong Zhang, Kun Fu, Xian Sun
2026 J jnl
Survey on Learning-based Dynamic Fault Localization: From Traditional Machine Learning to Large Language Models.
ACM Comput. Surv.
Chunyan Liu, Yan Lei, Huan Xie, Jinping Wang, Yue Yu, David Lo
2026 J jnl
Towards to real world vehicle privacy protection: A new dataset and benchmark.
Pattern Recognit.
Jiayi Lin, Chengming Zou, Long Lan, Yong Luo, Yue Yu, Yaowei Wang, Wei Zeng, Yonghong Tian
2026 J jnl
Uncertainty-penalized reinforcement learning from human feedback with diversified reward LoRA ensembles.
Inf. Process. Manag.
Yuanzhao Zhai, Yu Lei, Han Zhang, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang
2026 A conf
swKokkos: An Athread Backend for Enhanced Kokkos with the Sunway Heterogeneous Architecture.
EuroSys
Junlin Wei, Jinrong Jiang, Wu Wang, Chen Li, Yehong Zhang, Yue Yu, Lian Zhao, Xiang Han, Zhenjia Li, Feng Zhang, Haoyuan Zhang, Yidi Bai, Maoxue Yu, Kai Xu, Hailong Liu, Xuebin Chi
2025 J jnl
A Structure-Preserving Denoising Diffusion Model for AV45 PET Quantification Without MRI in Alzheimer's Disease Diagnosis.
Int. J. Imaging Syst. Technol.
Xutao Guo, Chenfei Ye, Mingkai Zhang, Xingyu Hao, Yanwu Yang, Yue Yu, Heather Ting Ma, Ying Han
2025 J jnl
A review on knowledge graphs for healthcare: Resources, applications, and promises.
J. Biomed. Informatics
Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025 J jnl
Accurate Expert Predictions in MoE Inference via Cross-Layer Gate.
CoRR
Zhiyuan Fang, Zicong Hong, Yuegui Huang, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu, Zibin Zheng
2025 J jnl
AceSearcher: Bootstrapping Reasoning and Search for LLMs via Reinforced Self-Play.
CoRR
Ran Xu, Yuchen Zhuang, Zihan Dong, Jonathan Wang, Yue Yu, Joyce C. Ho, Linjun Zhang, Haoyu Wang, Wenqi Shi, Carl Yang
2025 A* conf
AdaptEval: A Benchmark for Evaluating Large Language Models on Code Snippet Adaptation.
ASE
Tanghaoran Zhang, Xinjun Mao, Shangwen Wang, Yuxin Zhao, Yao Lu, Jin Zhang, Zhang Zhang, Kang Yang, Yue Yu
2025 J jnl
Are External Contributions Important to Project Productivity in Open Source Software? A Deep Insight based on Issue Entropy.
Proc. ACM Hum. Comput. Interact.
Yang Shen, Tao Wang, Xunhui Zhang, Yang Zhang, Cheng Yang, Yue Yu, Huaimin Wang
2025 — conf
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
ACL (1)
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2025 — conf
COPR: Continual Human Preference Learning via Optimal Policy Regularization.
ACL (Findings)
Han Zhang, Lin Gui, Yu Lei, Yuanzhao Zhai, Yehong Zhang, Zhuo Zhang, Yulan He, Hui Wang, Yue Yu, Kam-Fai Wong, Bin Liang, Ruifeng Xu
2025 A* conf
Causally Motivated Sycophancy Mitigation for Large Language Models.
ICLR
Haoxi Li, Xueyang Tang, Jie Zhang, Song Guo, Sikai Bai, Peiran Dong, Yue Yu
2025 A* conf
Centrality-guided Pre-training for Graph.
ICLR
Bin Liang, Shiwei Chen, Lin Gui, Hui Wang, Yue Yu, Ruifeng Xu, Kam-Fai Wong
2025 J jnl
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration.
CoRR
Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C. Ho, Haoyu Wang, Carl Yang
2025 J jnl
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning.
CoRR
Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang
2025 A* conf
Correcting Large Language Model Behavior via Influence Function.
AAAI
Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu
2025 A* conf
Efficient Evolutionary Search Over Chemical Space with Large Language Models.
ICLR
Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Strieth-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2025 A* conf
Flexibly Utilize Memory for Long-Term Conversation via a Fragment-then-Compose Framework.
EMNLP
Cai Ke, Yiming Du, Bin Liang, Yifan Xiang, Lin Gui, Zhongyang Li, Baojun Wang, Yue Yu, Hui Wang, Kam-Fai Wong, Ruifeng Xu
2025 J jnl
GenView++: Unifying Adaptive View Generation and Quality-Driven Supervision for Contrastive Representation Learning.
CoRR
Xiaojie Li, Bei Wang, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang
2025 J jnl
Generalizing to Unseen Speakers: Multimodal Emotion Recognition in Conversations With Speaker Generalization.
IEEE Trans. Affect. Comput.
Geng Tu, Ran Jing, Bin Liang, Yue Yu, Min Yang, Bing Qin, Ruifeng Xu
2025 J jnl
Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning in LLMs.
CoRR
Han Zhang, Ruibin Zheng, Zexuan Yi, Hanyang Peng, Hui Wang, Yue Yu
2025 J jnl
Insights and Analysis of Open-source License Violation Risks in LLMs Generated Code.
Int. J. Softw. Informatics
Yibo Wang, Ying Wang, Yue Yu, Chang Xu, Hai Yu, Zhiliang Zhu
2025 A* conf
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering.
ICSE
Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2025 A conf
Kilometer-Scale AI-Powered and Performance-Portable Earth System Model (AP3ESM) to Achieve Year-Scale Simulation Speed on Heterogeneous Supercomputers.
SC
Kai Xu, Maoxue Yu, Yuhu Chen, Jie Gao, Shuang Wang, Jiaying Song, Xiaohui Duan, Junwei Wei, Jiangfeng Yu, Hailong Liu, Jinrong Jiang, Yi Zhang, Pengfei Lin, Tianyi Wang, Pengfei Wang, Weipeng Zheng, Jingwei Xie, Jiakang Zhang, Zilu Liu, Xiaoyu Jin, Jilin Wei, Qixin Chang, Qingxia Lin, Yanzhi Zhou, Weiguo Liu, Wei Xue, Yiwen Li, Haohuan Fu, Yue Yu, Xuebin Chi, Lixin Wu
2025 — conf
Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline.
ASPLOS (2)
Zhiyuan Fang, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu, Zibin Zheng
2025 J jnl
Klotski: Efficient Mixture-of-Expert Inference via Expert-Aware Multi-Batch Pipeline.
CoRR
Zhiyuan Fang, Yuegui Huang, Zicong Hong, Yufeng Lyu, Wuhui Chen, Yue Yu, Fan Yu, Zibin Zheng
2025 J jnl
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale.
CoRR
Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Xiangru Tang, Hang Wu, May D. Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Carl Yang, Yang Xie, Wenqi Shi
2025 A conf
Multimodal Emotion Recognition in Conversations via Graph Structure Learning.
ICME
Feng Xiong, Geng Tu, Yice Zhang, Jun Wang, Shiwei Chen, Bin Liang, Yue Yu, Min Yang, Ruifeng Xu
2025 J jnl
NeMo: A Neuron-Level Modularizing-While-Training Approach for Decomposing DNN Models.
CoRR
Xiaohan Bi, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang
2025 A conf
OBDD-NET: End-to-End Learning of Ordered Binary Decision Diagrams.
CIKM
Junming Qiu, Rongzhen Ye, Weilin Luo, Kunxun Qi, Hai Wan, Yue Yu
2025 — conf
Obscura: Concealing Recomputation Overhead in Training of Large Language Models with Bubble-filling Pipeline Transformation.
USENIX ATC
Yuzhou Huang, Yapeng Jiang, Zicong Hong, Wuhui Chen, Bin Wang, Weixi Zhu, Yue Yu, Zibin Zheng
2025 — conf
PAMM: Adaptive Memory Management for CXL-/UB-Based Heterogeneous Memory Pooling Systems.
APPT
Jianqin Yan, Zhaoxiang Huang, Yue Yu, Zhenlong Song, Yiming Zhang
2025 A* conf
Preference-Strength-Aware Self-Improving Alignment with Generative Preference Models.
SIGIR
Yuanzhao Zhai, Zhuo Zhang, Cheng Yang, Kele Xu, Yue Yu, Wei Li, Hui Wang, Zenglin Xu, Dawei Feng, Bo Ding, Huaimin Wang
2025 J jnl
Preserve and Sculpt: Manifold-Aligned Fine-tuning of Vision-Language Models for Few-Shot Learning.
CoRR
Dexia Chen, Qianjie Zhu, Weibing Li, Yue Yu, Tong Zhang, Ruixuan Wang
2025 J jnl
RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation.
CoRR
Ran Xu, Yuchen Zhuang, Yue Yu, Haoyu Wang, Wenqi Shi, Carl Yang
2025 J jnl
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation.
CoRR
Hanbo Bi, Yingchao Feng, Boyuan Tong, Mengyu Wang, Haichen Yu, Yongqiang Mao, Hao Chang, Wenhui Diao, Peijin Wang, Yue Yu, Hanyang Peng, Yehong Zhang, Kun Fu, Xian Sun
2025 — conf
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.
ACL (Findings)
Tianci Liu, Haoxiang Jiang, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, Haoyu Wang
2025 J jnl
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization.
CoRR
Tianci Liu, Haoxiang Jiang, Tianze Wang, Ran Xu, Yue Yu, Linjun Zhang, Tuo Zhao, Haoyu Wang
2025 J jnl
Scaling Agentic Reinforcement Learning for Tool-Integrated Reasoning in VLMs.
CoRR
Meng Lu, Ran Xu, Yi Fang, Wenxuan Zhang, Yue Yu, Gaurav Srivastava, Yuchen Zhuang, Mohamed Elhoseiny, Charles Fleming, Carl Yang, Zhengzhong Tu, Yang Xie, Guanghua Xiao, Hanrui Wang, Di Jin, Wenqi Shi, Xuan Wang
2025 J jnl
SecFwT: Efficient Privacy-Preserving Fine-Tuning of Large Language Models Using Forward-Only Passes.
CoRR
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Xun Zhou, Hui Wang, Yue Yu, Zenglin Xu
2025 J jnl
Simple Convergence Proof of Adam From a Sign-like Descent Perspective.
CoRR
Hanyang Peng, Shuang Qin, Yue Yu, Fangqing Jiang, Hui Wang, Zhouchen Lin
2025 J jnl
SoftSignSGD(S3): An Enhanced Optimizer for Practical DNN Training and Loss Spikes Minimization Beyond Adam.
CoRR
Hanyang Peng, Shuang Qin, Yue Yu, Fangqing Jiang, Hui Wang, Wen Gao
2025 J jnl
StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic client participation.
Neural Networks
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2025 A* conf
Test-Time Adaptation of Medical Vision-Language Models with Mixture of Modality Experts.
ACM Multimedia
Hancong Wang, Yue Yu, Hairong Zheng, Tong Zhang
2025 J jnl
Tiered Cache-Sharing Service for Virtual Machine Images Based on Memory Pool.
IEEE Micro
Zhihao Zhang, Weinan Liu, Zhenlong Song, Xinbiao Gan, Yue Yu, Yiming Zhang
2024 A conf
A Performance-Portable Kilometer-Scale Global Ocean Model on ORISE and New Sunway Heterogeneous Supercomputers.
SC
Junlin Wei, Xiang Han, Jiangfeng Yu, Jinrong Jiang, Hailong Liu, Pengfei Lin, Maoxue Yu, Kai Xu, Lian Zhao, Pengfei Wang, Weipeng Zheng, Jingwei Xie, Yanzhi Zhou, Tao Zhang, Feng Zhang, Yehong Zhang, Yue Yu, Yuzhu Wang, Yidi Bai, Chen Li, Zipeng Yu, Haoyu Deng, Yaxin Li, Xuebin Chi
2024 J jnl
A Survey on Scheduling Techniques in Computing and Network Convergence.
IEEE Commun. Surv. Tutorials
Shujiong Tang, Yue Yu, Hui Wang, Guiliang Wang, Wuhui Chen, Zenglin Xu, Song Guo, Wen Gao
2024 J jnl
ARL2: Aligning Retrievers for Black-box Large Language Models via Self-guided Adaptive Relevance Labeling.
CoRR
Lingxi Zhang, Yue Yu, Kuan Wang, Chao Zhang
2024 J jnl
Accelerating LASG/IAP climate system ocean model version 3 for performance portability using Kokkos.
Future Gener. Comput. Syst.
Junlin Wei, Pengfei Lin, Jinrong Jiang, Hailong Liu, Lian Zhao, Yehong Zhang, Xiang Han, Feng Zhang, Jian Huang, Yuzhu Wang, Youyun Li, Yue Yu, Xuebin Chi
2024 J jnl
Accelerating denoising diffusion probabilistic model via truncated inverse processes for medical image segmentation.
Comput. Biol. Medicine
Xutao Guo, Yang Xiang, Yanwu Yang, Chenfei Ye, Yue Yu, Heather Ting Ma
2024 A* conf
At Which Training Stage Does Code Data Help LLMs Reasoning?
ICLR
Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
2024 A* conf
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers.
EMNLP
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May Dongmei Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024 J jnl
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers.
CoRR
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Yanqiao Zhu, May D. Wang, Joyce C. Ho, Chao Zhang, Carl Yang
2024 J jnl
BrainMass: Advancing Brain Network Analysis for Diagnosis With Large-Scale Self-Supervised Learning.
IEEE Trans. Medical Imaging
Yanwu Yang, Chenfei Ye, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu, Ting Ma
2024 J jnl
BrainMass: Advancing Brain Network Analysis for Diagnosis with Large-scale Self-Supervised Learning.
CoRR
Yanwu Yang, Chenfei Ye, Guinan Su, Ziyao Zhang, Zhikai Chang, Hairui Chen, Piu Chan, Yue Yu, Heather Ting Ma
2024 A* conf
Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization.
ICML
Xueyang Tang, Song Guo, Jingcai Guo, Jie Zhang, Yue Yu
2024 J jnl
Centaur: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference.
CoRR
Jinglong Luo, Guanzhong Chen, Yehong Zhang, Shiyu Liu, Hui Wang, Yue Yu, Xun Zhou, Yuan Qi, Zenglin Xu
2024 J jnl
Continual Learning of Image Classes With Language Guidance From a Vision-Language Model.
IEEE Trans. Circuits Syst. Video Technol.
Wentao Zhang, Yujun Huang, Weizhuo Zhang, Tong Zhang, Qicheng Lao, Yue Yu, Wei-Shi Zheng, Ruixuan Wang
2024 J jnl
Correcting Large Language Model Behavior via Influence Function.
CoRR
Han Zhang, Zhuo Zhang, Yi Zhang, Yuanzhao Zhai, Hanyang Peng, Yu Lei, Yue Yu, Hui Wang, Bin Liang, Lin Gui, Ruifeng Xu
2024 J jnl
Cut to the Chase: An Error-Oriented Approach to Detect Error-Handling Bugs.
Proc. ACM Softw. Eng.
Haoran Liu, Zhouyang Jia, Shanshan Li, Yan Lei, Yue Yu, Yu Jiang, Xiaoguang Mao, Xiangke Liao
2024 J jnl
EHRAgent: Code Empowers Large Language Models for Complex Tabular Reasoning on Electronic Health Records.
CoRR
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May D. Wang
2024 A* conf
EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Records.
EMNLP
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang
2024 A* conf
Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring.
ICML
Jiewei Zhang, Song Guo, Peiran Dong, Jie Zhang, Ziming Liu, Yue Yu, Xiao-Ming Wu
2024 J jnl
Efficient Evolutionary Search Over Chemical Space with Large Language Models.
CoRR
Haorui Wang, Marta Skreta, Cher Tian Ser, Wenhao Gao, Lingkai Kong, Felix Streith-Kalthoff, Chenru Duan, Yuchen Zhuang, Yue Yu, Yanqiao Zhu, Yuanqi Du, Alán Aspuru-Guzik, Kirill Neklyudov, Chao Zhang
2024 J jnl
Efficient privacy-preserving Gaussian process via secure multi-party computation.
J. Syst. Archit.
Shiyu Liu, Jinglong Luo, Yehong Zhang, Hui Wang, Yue Yu, Zenglin Xu
2024 — conf
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
ACL (1)
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2024 J jnl
GGT: Graph-guided testing for adversarial sample detection of deep neural network.
Comput. Secur.
Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2024 — conf
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.
ECCV (68)
Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang
2024 J jnl
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning.
CoRR
Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang
2024 A* conf
HYDRA: Model Factorization Framework for Black-Box LLM Personalization.
NeurIPS
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024 J jnl
HYDRA: Model Factorization Framework for Black-Box LLM Personalization.
CoRR
Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai
2024 — conf
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification.
EACL (1)
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
2024 J jnl
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification.
CoRR
Vidit Jain, Mukund Rungta, Yuchen Zhuang, Yue Yu, Zeyu Wang, Mu Gao, Jeffrey Skolnick, Chao Zhang
2024 J jnl
How Do Developers Adapt Code Snippets to Their Contexts? An Empirical Study of Context-Based Code Snippet Adaptations.
IEEE Trans. Software Eng.
Tanghaoran Zhang, Yao Lu, Yue Yu, Xinjun Mao, Yang Zhang, Yuxin Zhao
2024 J jnl
Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering.
CoRR
Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao
2024 J jnl
Intelligence-Endogenous Management Platform for Computing and Network Convergence.
IEEE Netw.
Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao
2024 — conf
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
ACL (Findings)
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, May Dongmei Wang, Wei Jin, Joyce C. Ho, Carl Yang
2024 J jnl
MUBen: Benchmarking the Uncertainty of Molecular Representation Models.
Trans. Mach. Learn. Res.
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2024 A* conf
MedAdapter: Efficient Test-Time Adaptation of Large Language Models Towards Medical Reasoning.
EMNLP
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Haotian Sun, Hang Wu, Carl Yang, May Dongmei Wang
2024 J jnl
MedAdapter: Efficient Test-Time Adaptation of Large Language Models towards Medical Reasoning.
CoRR
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Hang Wu, Carl Yang, May D. Wang
2024 — conf
ModelFoundry: A Tool for DNN Modularization and On-Demand Model Reuse Inspired by the Wisdom of Software Engineering.
SIGSOFT FSE Companion
Xiaohan Bi, Ruobing Zhao, Binhang Qi, Hailong Sun, Xiang Gao, Yue Yu, Xiaojun Liang
2024 — conf
Multi-modal Stance Detection: New Datasets and Model.
ACL (Findings)
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
2024 J jnl
Multi-modal Stance Detection: New Datasets and Model.
CoRR
Bin Liang, Ang Li, Jingqian Zhao, Lin Gui, Min Yang, Yue Yu, Kam-Fai Wong, Ruifeng Xu
2024 J jnl
Online Self-Preferring Language Models.
CoRR
Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang
2024 A conf
Optimus: Warming Serverless ML Inference via Inter-Function Model Transformation.
EuroSys
Zicong Hong, Jian Lin, Song Guo, Sifu Luo, Wuhui Chen, Roger Wattenhofer, Yue Yu
2024 — conf
PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models.
CLEF (Working Notes)
Bang Yang, Yue Yu, Yuexian Zou, Tong Zhang
2024 — conf
Predicting Text Preference Via Structured Comparative Reasoning.
ACL (1)
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Charumathi Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
2024 — conf
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models.
ACL (Findings)
Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
2024 J jnl
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models.
CoRR
Yuzhao Heng, Chunyuan Deng, Yitong Li, Yue Yu, Yinghao Li, Rongzhi Zhang, Chao Zhang
2024 — conf
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
ACL (Short Papers)
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May Dongmei Wang, Joyce C. Ho, Carl Yang
2024 J jnl
RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records.
CoRR
Ran Xu, Wenqi Shi, Yue Yu, Yuchen Zhuang, Bowen Jin, May D. Wang, Joyce C. Ho, Carl Yang
2024 J jnl
Re-Thinking the Effectiveness of Batch Normalization and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanyang Peng, Yue Yu, Shiqi Yu
2024 — conf
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding.
LREC/COLING
Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu
2024 — conf
SecFormer: Fast and Accurate Privacy-Preserving Inference for Transformer Models via SMPC.
ACL (Findings)
Jinglong Luo, Yehong Zhang, Zhuo Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 J jnl
SecFormer: Towards Fast and Accurate Privacy-Preserving Inference for Large Language Models.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Xin Mu, Hui Wang, Yue Yu, Zenglin Xu
2024 — conf
SiFT: A Serial Framework with Textual Guidance for Federated Learning.
MICCAI (10)
Xuyang Li, Weizhuo Zhang, Yue Yu, Wei-Shi Zheng, Tong Zhang, Ruixuan Wang
2024 J jnl
Towards More Precise Coincidental Correctness Detection With Deep Semantic Learning.
IEEE Trans. Software Eng.
Huan Xie, Yan Lei, Meng Yan, Shanshan Li, Xiaoguang Mao, Yue Yu, David Lo
2024 J jnl
Training and Serving System of Foundation Models: A Comprehensive Survey.
CoRR
Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng
2024 J jnl
Training and Serving System of Foundation Models: A Comprehensive Survey.
IEEE Open J. Comput. Soc.
Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng
2024 J jnl
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.
CoRR
Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang
2023 J jnl
A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.
CoRR
Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang
2023 A conf
A Two-Stage Framework for Ambiguous Classification in Software Engineering.
ISSRE
Jiaying Li, Yan Lei, Shanshan Li, Haifang Zhou, Yue Yu, Zhouyang Jia, Yingwei Ma, Teng Wang
2023 J jnl
At Which Training Stage Does Code Data Help LLMs Reasoning?
CoRR
Yingwei Ma, Yue Liu, Yue Yu, Yuanliang Zhang, Yu Jiang, Changjian Wang, Shanshan Li
2023 — conf
Can Machine Learning Pipelines Be Better Configured?
ESEC/SIGSOFT FSE
Yibo Wang, Ying Wang, Tingwei Zhang, Yue Yu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu
2023 — conf
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach.
ACL (1)
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2023 — conf
Deep Dag Learning of Effective Brain Connectivity for FMRI Analysis.
ISBI
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2023 A* conf
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.
KDD
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023 J jnl
DyGen: Learning from Noisy Labels via Dynamics-Enhanced Generative Modeling.
CoRR
Yuchen Zhuang, Yue Yu, Lingkai Kong, Xiang Chen, Chao Zhang
2023 J jnl
Excitement surfeited turns to errors: Deep learning testing framework based on excitable neurons.
Inf. Sci.
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Yao Cheng, Yue Yu, Tieming Chen, Xianglong Liu
2023 J jnl
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning.
CoRR
Yue Yu, Jiaming Shen, Tianqi Liu, Zhen Qin, Jing Nathan Yan, Jialu Liu, Chao Zhang, Michael Bendersky
2023 — conf
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.
ACL (Findings)
Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu
2023 A* conf
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning.
ACM Multimedia
Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang
2023 A* conf
Ginver: Generative Model Inversion Attacks Against Collaborative Inference.
WWW
Yupeng Yin, Xianglong Zhang, Huanle Zhang, Feng Li, Yue Yu, Xiuzhen Cheng, Pengfei Hu
2023 J jnl
How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking.
CoRR
Zhengyu Hu, Jieyu Zhang, Yue Yu, Yuchen Zhuang, Hui Xiong
2023 J jnl
Influential Global and Local Contexts Guided Trace Representation for Fault Localization.
ACM Trans. Softw. Eng. Methodol.
Zhuo Zhang, Yan Lei, Ting Su, Meng Yan, Xiaoguang Mao, Yue Yu
2023 J jnl
Intelligence-Endogenous Management Platform for Computing and Network Convergence.
CoRR
Zicong Hong, Xiaoyu Qiu, Jian Lin, Wuhui Chen, Yue Yu, Hui Wang, Song Guo, Wen Gao
2023 J jnl
Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation with Large Language Models.
CoRR
Ran Xu, Hejie Cui, Yue Yu, Xuan Kan, Wenqi Shi, Yuchen Zhuang, Wei Jin, Joyce C. Ho, Carl Yang
2023 A* conf
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
NeurIPS
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J. Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023 J jnl
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias.
CoRR
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang
2023 A* conf
Local Boosting for Weakly-Supervised Learning.
KDD
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023 J jnl
Local Boosting for Weakly-Supervised Learning.
CoRR
Rongzhi Zhang, Yue Yu, Jiaming Shen, Xiquan Cui, Chao Zhang
2023 J jnl
MUBen: Benchmarking the Uncertainty of Pre-Trained Models for Molecular Property Prediction.
CoRR
Yinghao Li, Lingkai Kong, Yuanqi Du, Yue Yu, Yuchen Zhuang, Wenhao Mu, Chao Zhang
2023 A* conf
Mask Again: Masked Knowledge Distillation for Masked Video Modeling.
ACM Multimedia
Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang
2023 A conf
MulCS: Towards a Unified Deep Representation for Multilingual Code Search.
SANER
Yingwei Ma, Yue Yu, Shanshan Li, Zhouyang Jia, Jun Ma, Rulin Xu, Wei Dong, Xiangke Liao
2023 J jnl
Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery.
Nat. Mac. Intell.
Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Yue Yu, Fei Li, Shaoliang Peng
2023 A* conf
Neighborhood-Regularized Self-Training for Learning with Few Labels.
AAAI
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023 J jnl
Neighborhood-Regularized Self-Training for Learning with Few Labels.
CoRR
Ran Xu, Yue Yu, Hejie Cui, Xuan Kan, Yanqiao Zhu, Joyce C. Ho, Chao Zhang, Carl Yang
2023 J jnl
On What Basis? Predicting Text Preference Via Structured Comparative Reasoning.
CoRR
Jing Nathan Yan, Tianqi Liu, Justin T. Chiu, Jiaming Shen, Zhen Qin, Yue Yu, Yao Zhao, Charu Lakshmanan, Yair Kurzion, Alexander M. Rush, Jialu Liu, Michael Bendersky
2023 C conf
On the Reliability of Coverage Data for Fault Localization.
APSEC
Huan Xie, Maojin Li, Yan Lei, Jian Hu, Shanshan Li, Xiaoguang Mao, Yue Yu
2023 A* conf
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
NeurIPS
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023 J jnl
Open Visual Knowledge Extraction via Relation-Oriented Multimodality Model Prompting.
CoRR
Hejie Cui, Xinyu Fang, Zihan Zhang, Ran Xu, Xuan Kan, Xin Liu, Yue Yu, Manling Li, Yangqiu Song, Carl Yang
2023 J jnl
Personalized Federated Learning via Amortized Bayesian Meta-Learning.
CoRR
Shiyu Liu, Shaogao Lv, Dun Zeng, Zenglin Xu, Hui Wang, Yue Yu
2023 J jnl
Plumber: Boosting the Propagation of Vulnerability Fixes in the npm Ecosystem.
IEEE Trans. Software Eng.
Ying Wang, Peng Sun, Lin Pei, Yue Yu, Chang Xu, Shing-Chi Cheung, Hai Yu, Zhiliang Zhu
2023 J jnl
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing.
CoRR
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 A conf
Practical privacy-preserving Gaussian process regression via secret sharing.
UAI
Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu
2023 J jnl
Pull Request Decisions Explained: An Empirical Overview.
IEEE Trans. Software Eng.
Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi
2023 A* conf
R-Mixup: Riemannian Mixup for Biological Networks.
KDD
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023 J jnl
R-Mixup: Riemannian Mixup for Biological Networks.
CoRR
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
2023 — conf
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
ACL (Findings)
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023 J jnl
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval.
CoRR
Yue Yu, Yuchen Zhuang, Rongzhi Zhang, Yu Meng, Jiaming Shen, Chao Zhang
2023 A* conf
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.
NeurIPS
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
2023 J jnl
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms.
CoRR
Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
2023 J jnl
Stochastic Clustered Federated Learning.
CoRR
Dun Zeng, Xiangjing Hu, Shiyu Liu, Yue Yu, Qifan Wang, Zenglin Xu
2023 J jnl
To Follow or Not to Follow: Understanding Issue/Pull-Request Templates on GitHub.
IEEE Trans. Software Eng.
Zhixing Li, Yue Yu, Tao Wang, Yan Lei, Ying Wang, Huaimin Wang
2023 A* conf
ToolQA: A Dataset for LLM Question Answering with External Tools.
NeurIPS
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
2023 J jnl
ToolQA: A Dataset for LLM Question Answering with External Tools.
CoRR
Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
2023 J jnl
Towards Usable Neural Comment Generation via Code-Comment Linkage Interpretation: Method and Empirical Study.
IEEE Trans. Software Eng.
Shuyao Jiang, Jiacheng Shen, Shengnan Wu, Yu Cai, Yue Yu, Yangfan Zhou
2023 A* conf
Two Sides of the Same Coin: Exploiting the Impact of Identifiers in Neural Code Comprehension.
ICSE
Shuzheng Gao, Cuiyun Gao, Chaozheng Wang, Jun Sun, David Lo, Yue Yu
2023 A* conf
Understanding and Detecting On-The-Fly Configuration Bugs.
ICSE
Teng Wang, Zhouyang Jia, Shanshan Li, Si Zheng, Yue Yu, Erci Xu, Shaoliang Peng, Xiangke Liao
2023 A* conf
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training.
SIGIR
Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
2023 J jnl
Weakly-Supervised Scientific Document Classification via Retrieval-Augmented Multi-Stage Training.
CoRR
Ran Xu, Yue Yu, Joyce C. Ho, Carl Yang
2023 J jnl
When Database Meets New Storage Devices: Understanding and Exposing Performance Mismatches via Configurations.
Proc. VLDB Endow.
Haochen He, Erci Xu, Shanshan Li, Zhouyang Jia, Si Zheng, Yue Yu, Jun Ma, Xiangke Liao
2023 J jnl
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.
ACM Trans. Softw. Eng. Methodol.
Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Linxiao Bai, Wei Dong, Xiangke Liao
2022 C conf
A Distributed Graph Inference Computation Framework Based on Graph Neural Network Model.
SEKE
Zeting Pan, Yue Yu, Junsheng Chang
2022 J jnl
A Survey on Programmatic Weak Supervision.
CoRR
Jieyu Zhang, Cheng-Yu Hsieh, Yue Yu, Chao Zhang, Alexander Ratner
2022 A* conf
A Universal Data Augmentation Approach for Fault Localization.
ICSE
Huan Xie, Yan Lei, Meng Yan, Yue Yu, Xin Xia, Xiaoguang Mao
2022 — conf
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models.
NAACL-HLT
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2022 J jnl
Are You Still Working on This? An Empirical Study on Pull Request Abandonment.
IEEE Trans. Software Eng.
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Shanshan Li, Huaimin Wang
2022 A* conf
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
ICSE
Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao
2022 J jnl
COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning.
CoRR
Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk
2022 A* conf
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning.
EMNLP
Yue Yu, Chenyan Xiong, Si Sun, Chao Zhang, Arnold Overwijk
2022 J jnl
Cold-Start Data Selection for Few-shot Language Model Fine-tuning: A Prompt-Based Uncertainty Propagation Approach.
CoRR
Yue Yu, Rongzhi Zhang, Ran Xu, Jieyu Zhang, Jiaming Shen, Chao Zhang
2022 — conf
Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions on EHR.
ML4H@NeurIPS
Ran Xu, Yue Yu, Chao Zhang, Mohammed K. Ali, Joyce C. Ho, Carl Yang
2022 J jnl
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.
CoRR
Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng
2022 J jnl
FENSE: A feature-based ensemble modeling approach to cross-project just-in-time defect prediction.
Empir. Softw. Eng.
Tanghaoran Zhang, Yue Yu, Xinjun Mao, Yao Lu, Zhixing Li, Huaimin Wang
2022 J jnl
HAF: a hybrid annotation framework based on expert knowledge and learning technique.
Sci. China Inf. Sci.
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
2022 B conf
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks (Extended Abstract).
IEEE Big Data
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 J jnl
Learning Task-Aware Effective Brain Connectivity for fMRI Analysis with Graph Neural Networks.
CoRR
Yue Yu, Xuan Kan, Hejie Cui, Ran Xu, Yujia Zheng, Xiangchen Song, Yanqiao Zhu, Kun Zhang, Razieh Nabi, Ying Guo, Chao Zhang, Carl Yang
2022 A* conf
Multi-Intention-Aware Configuration Selection for Performance Tuning.
ICSE
Haochen He, Zhouyang Jia, Shanshan Li, Yue Yu, Chenglong Zhou, Qing Liao, Ji Wang, Xiangke Liao
2022 A* conf
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification.
ICSE
Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen
2022 — conf
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark Under Heterogeneous AI Computing Platforms.
PRCV (1)
Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
2022 J jnl
OpenMedIA: Open-Source Medical Image Analysis Toolbox and Benchmark under Heterogeneous AI Computing Platforms.
CoRR
Jia-Xin Zhuang, Xiansong Huang, Yang Yang, Jiancong Chen, Yue Yu, Wei Gao, Ge Li, Jie Chen, Tong Zhang
2022 J jnl
Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical Study.
Proc. ACM Hum. Comput. Interact.
Zhixing Li, Yue Yu, Tao Wang, Shanshan Li, Huaimin Wang
2022 J jnl
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
CoRR
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2022 — conf
Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
ACL (1)
Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, Chao Zhang
2022 J jnl
Pull request latency explained: an empirical overview.
Empir. Softw. Eng.
Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang
2022 A* conf
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.
EMNLP
Yuchen Zhuang, Yinghao Li, Junyang Zhang, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2022 J jnl
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select.
CoRR
Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, Chao Zhang
2022 J jnl
Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS Projects.
IEEE Trans. Software Eng.
Zhixing Li, Yue Yu, Minghui Zhou, Tao Wang, Gang Yin, Long Lan, Huaimin Wang
2022 A* conf
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.
ASE
Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao
2022 — conf
Self-Training with Differentiable Teacher.
NAACL-HLT (Findings)
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2022 J jnl
The Development and Prospect of Code Clone.
CoRR
Xunhui Zhang, Tao Wang, Yue Yu, Yanzhi Zhang, Yan Zhong, Huaimin Wang
2022 J jnl
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning.
IEEE Trans. Neural Networks Learn. Syst.
Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang
2022 A* conf
Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism.
CHI
Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang
2021 J jnl
ATM: An Uncertainty-aware Active Self-training Framework for Label-efficient Text Classification.
CoRR
Yue Yu, Lingkai Kong, Jieyu Zhang, Rongzhi Zhang, Chao Zhang
2021 J jnl
Bridging Pre-trained Models and Downstream Tasks for Source Code Understanding.
CoRR
Deze Wang, Zhouyang Jia, Shanshan Li, Yue Yu, Yun Xiong, Wei Dong, Xiangke Liao
2021 A* conf
Detecting Adversarial Samples with Graph-Guided Testing.
ASE
Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2021 J jnl
Detecting Duplicate Contributions in Pull-Based Model Combining Textual and Change Similarities.
J. Comput. Sci. Technol.
Zhixing Li, Yue Yu, Tao Wang, Gang Yin, Xinjun Mao, Huaimin Wang
2021 J jnl
Dual Channel Among Task and Contribution on OSS Communities: An Empirical Study.
Int. J. Softw. Eng. Knowl. Eng.
Yu Zhang, Yue Yu, Tao Wang, Zhixing Li, Xiaochuan Wang
2021 — conf
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach.
NAACL-HLT
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
2021 J jnl
GGT: Graph-Guided Testing for Adversarial Sample Detection of Deep Neural Network.
CoRR
Zuohui Chen, Renxuan Wang, Jingyang Xiang, Yue Yu, Xin Xia, Shouling Ji, Qi Xuan, Xiaoniu Yang
2021 J jnl
How to cherry pick the bug report for better summarization?
Empir. Softw. Eng.
Haoran Liu, Yue Yu, Shanshan Li, Mingyang Geng, Xiaoguang Mao, Xiangke Liao
2021 A conf
MulCode: A Multi-task Learning Approach for Source Code Understanding.
SANER
Deze Wang, Yue Yu, Shanshan Li, Wei Dong, Ji Wang, Qing Liao
2021 J jnl
Near-Online Multi-Pedestrian Tracking via Combining Multiple Consistent Appearance Cues.
IEEE Trans. Circuits Syst. Video Technol.
Weijiang Feng, Long Lan, Yong Luo, Yue Yu, Xiang Zhang, Zhigang Luo
2021 J jnl
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification.
CoRR
Haibin Zheng, Zhiqing Chen, Tianyu Du, Xuhong Zhang, Yao Cheng, Shouling Ji, Jingyi Wang, Yue Yu, Jinyin Chen
2021 J jnl
PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation.
CoRR
Wei Zeng, Xiaozhe Ren, Teng Su, Hui Wang, Yi Liao, Zhiwei Wang, Xin Jiang, ZhenZhang Yang, Kaisheng Wang, Xiaoda Zhang, Chen Li, Ziyan Gong, Yifan Yao, Xinjing Huang, Jun Wang, Jianfeng Yu, Qi Guo, Yue Yu, Yan Zhang, Jin Wang, Hengtao Tao, Dasen Yan, Zexuan Yi, Fang Peng, Fangqing Jiang, Han Zhang, Lingfeng Deng, Yehong Zhang, Zhe Lin, Chao Zhang, Shaojie Zhang, Mingyue Guo, Shanzhi Gu, Gaojun Fan, Yaowei Wang, Xuefeng Jin, Qun Liu, Yonghong Tian
2021 J jnl
Pull Request Decision Explained: An Empirical Overview.
CoRR
Xunhui Zhang, Yue Yu, Georgios Gousios, Ayushi Rastogi
2021 J jnl
Pull Request Latency Explained: An Empirical Overview.
CoRR
Xunhui Zhang, Yue Yu, Tao Wang, Ayushi Rastogi, Huaimin Wang
2021 J jnl
Self-Training with Differentiable Teacher.
CoRR
Simiao Zuo, Yue Yu, Chen Liang, Haoming Jiang, Siawpeng Er, Chao Zhang, Tuo Zhao, Hongyuan Zha
2021 J jnl
SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization.
Bioinform.
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2021 — conf
WRENCH: A Comprehensive Benchmark for Weak Supervision.
NeurIPS Datasets and Benchmarks
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
2021 J jnl
WRENCH: A Comprehensive Benchmark for Weak Supervision.
CoRR
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner
2021 J jnl
Who, What, Why and How? Towards the Monetary Incentive in Crowd Collaboration: A Case Study of Github's Sponsor Mechanism.
CoRR
Xunhui Zhang, Tao Wang, Yue Yu, Qiubing Zeng, Zhixing Li, Huaimin Wang
2021 J jnl
Why API documentation is insufficient for developers: an empirical study.
Sci. China Inf. Sci.
Qiang Fan, Yue Yu, Tao Wang, Gang Yin, Huaimin Wang
2021 J jnl
deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search.
CoRR
Chen Zeng, Yue Yu, Shanshan Li, Xin Xia, Zhiming Wang, Mingyang Geng, Bailin Xiao, Wei Dong, Xiangke Liao
2020 — conf
An Empirical Study of Multi-discussing Pattern in Open-Source Software Development.
Internetware
Cheng Yang, Dongyang Hu, Yang Zhang, Tao Wang, Yue Yu
2020 J jnl
Automatic Voter Recommendation Method for Closing Questions in Stack Overflow.
Int. J. Softw. Eng. Knowl. Eng.
Zhang Zhang, Xinjun Mao, Yao Lu, Jinyu Lu, Yue Yu, Zhixing Li
2020 A* conf
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision.
KDD
Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
2020 J jnl
BOND: BERT-Assisted Open-Domain Named Entity Recognition with Distant Supervision.
CoRR
Chen Liang, Yue Yu, Haoming Jiang, Siawpeng Er, Ruijia Wang, Tuo Zhao, Chao Zhang
2020 A conf
BugSum: Deep Context Understanding for Bug Report Summarization.
ICPC
Haoran Liu, Yue Yu, Shanshan Li, Yong Guo, Deze Wang, Xiaoguang Mao
2020 A* conf
CP-Detector: Using Configuration-related Performance Properties to Expose Performance Bugs.
ASE
Haochen He, Zhouyang Jia, Shanshan Li, Erci Xu, Tingting Yu, Yue Yu, Ji Wang, Xiangke Liao
2020 J jnl
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach.
CoRR
Yue Yu, Simiao Zuo, Haoming Jiang, Wendi Ren, Tuo Zhao, Chao Zhang
2020 A conf
On the Shoulders of Giants: A New Dataset for Pull-based Development Research.
MSR
Xunhui Zhang, Ayushi Rastogi, Yue Yu
2020 A* conf
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
KDD
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020 J jnl
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths.
CoRR
Yue Yu, Yinghao Li, Jiaming Shen, Hao Feng, Jimeng Sun, Chao Zhang
2020 — conf
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.
EMNLP (1)
Rongzhi Zhang, Yue Yu, Chao Zhang
2020 J jnl
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup.
CoRR
Rongzhi Zhang, Yue Yu, Chao Zhang
2020 C conf
Sia-RAE: A Siamese Network based on Recursive AutoEncoder for Effective Clone Detection.
APSEC
Chenhui Feng, Tao Wang, Yue Yu, Yang Zhang, Yanzhi Zhang, Huaimin Wang
2020 A* conf
Software visualization and deep transfer learning for effective software defect prediction.
ICSE
Jinyin Chen, Keke Hu, Yue Yu, Zhuangzhi Chen, Qi Xuan, Yi Liu, Vladimir Filkov
2020 J jnl
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization.
CoRR
Yue Yu, Kexin Huang, Chao Zhang, Lucas M. Glass, Jimeng Sun, Cao Xiao
2019 J jnl
History-Driven Fix for Code Quality Issues.
IEEE Access
Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang
2019 J jnl
Multi-reviewing pull-requests: An exploratory study on GitHub OSS projects.
Inf. Softw. Technol.
Dongyang Hu, Yang Zhang, Junsheng Chang, Gang Yin, Yue Yu, Tao Wang
2019 J jnl
RepoLike: amulti-feature-based personalized recommendation approach for open-source repositories.
Frontiers Inf. Technol. Electron. Eng.
Cheng Yang, Qiang Fan, Tao Wang, Gang Yin, Xunhui Zhang, Yue Yu, Huaimin Wang
2018 B conf
A Hybrid Approach for Tag Hierarchy Construction.
ICSR
Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu
2018 A conf
A dataset of duplicate pull-requests in github.
MSR
Yue Yu, Zhixing Li, Gang Yin, Tao Wang, Huaimin Wang
2018 C conf
Adaptive software search toward users' customized requirements in GitHub.
SEKE
Jinze Liu, Zhixing Li, Tao Wang, Yue Yu, Gang Yin
2018 J jnl
An Initial Step Towards Organ Transplantation Based on GitHub Repository.
IEEE Access
Shangwen Wang, Xiaoguang Mao, Yue Yu
2018 J jnl
An Initial Step Towards Organ Transplantation Based on GitHub Repository.
CoRR
Shangwen Wang, Xiaoguang Mao, Yue Yu
2018 — conf
An Insight Into the Impact of Dockerfile Evolutionary Trajectories on Quality and Latency.
COMPSAC (1)
Yang Zhang, Gang Yin, Tao Wang, Yue Yu, Huaimin Wang
2018 — conf
Building a Cloud-Ready Program: A highly scalable Implementation based on Kubernetes.
ICAIP
Qiankun Li, Gang Yin, Tao Wang, Yue Yu
2018 J jnl
Correlation-based software search by leveraging software term database.
Frontiers Comput. Sci.
Zhixing Li, Gang Yin, Tao Wang, Yang Zhang, Yue Yu, Huaimin Wang
2018 — conf
Cross-Project Issue Classification Based on Ensemble Modeling in a Social Coding World.
ICONIP (4)
Yarong Zeng, Yue Yu, Qiang Fan, Xunhui Zhang, Tao Wang, Gang Yin, Huaimin Wang
2018 C conf
Recommending Similar Bug Reports: A Novel Approach Using Document Embedding Model.
APSEC
Dongyang Hu, Ming Chen, Tao Wang, Junsheng Chang, Gang Yin, Yue Yu, Yang Zhang
2018 — conf
Transferring Well-Trained Models for Cross-Project Issue Classification: A Large-Scale Empirical Study.
Internetware
Yue Yu, Yarong Zeng, Qiang Fan, Huaimin Wang
2018 — conf
Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase Behaviors.
Internetware
Tao Wang, Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
2018 — conf
Within-ecosystem issue linking: a large-scale study of rails.
SoftwareMining@ASE
Yang Zhang, Yue Yu, Huaimin Wang, Bogdan Vasilescu, Vladimir Filkov
2017 C conf
Automatic Classification of Review Comments in Pull-based Development Model.
SEKE
Zhixing Li, Yue Yu, Gang Yin, Tao Wang, Qiang Fan, Huaimin Wang
2017 — conf
Detecting Duplicate Pull-requests in GitHub.
Internetware
Zhixing Li, Gang Yin, Yue Yu, Tao Wang, Huaimin Wang
2017 B conf
DevRec: A Developer Recommendation System for Open Source Repositories.
ICSR
Xunhui Zhang, Tao Wang, Gang Yin, Cheng Yang, Yue Yu, Huaimin Wang
2017 J jnl
Social media in GitHub: the role of @-mention in assisting software development.
Sci. China Inf. Sci.
Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu
2017 J jnl
What Are They Talking About? Analyzing Code Reviews in Pull-Based Development Model.
J. Comput. Sci. Technol.
Zhixing Li, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang
2017 A conf
Where Is the Road for Issue Reports Classification Based on Text Mining?
ESEM
Qiang Fan, Yue Yu, Gang Yin, Tao Wang, Huaimin Wang
2016 J jnl
Determinants of pull-based development in the context of continuous integration.
Sci. China Inf. Sci.
Yue Yu, Gang Yin, Tao Wang, Cheng Yang, Huaimin Wang
2016 J jnl
Initial and Eventual Software Quality Relating to Continuous Integration in GitHub.
CoRR
Yue Yu, Bogdan Vasilescu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu
2016 J jnl
Reviewer recommendation for pull-requests in GitHub: What can we learn from code review and bug assignment?
Inf. Softw. Technol.
Yue Yu, Huaimin Wang, Gang Yin, Tao Wang
2015 — conf
Evaluating Bug Severity Using Crowd-based Knowledge: An Exploratory Study.
Internetware
Yang Zhang, Gang Yin, Tao Wang, Yue Yu, Huaimin Wang
2015 — conf
Exploring the Use of @-mention to Assist Software Development in GitHub.
Internetware
Yang Zhang, Huaimin Wang, Gang Yin, Tao Wang, Yue Yu
2015 — conf
OSSEAN: Mining Crowd Wisdom in Open Source Communities.
SOSE
Gang Yin, Tao Wang, Huaimin Wang, Qiang Fan, Yang Zhang, Yue Yu, Cheng Yang
2015 — conf
Quality and productivity outcomes relating to continuous integration in GitHub.
ESEC/SIGSOFT FSE
Bogdan Vasilescu, Yue Yu, Huaimin Wang, Premkumar T. Devanbu, Vladimir Filkov
2015 A conf
Wait for It: Determinants of Pull Request Evaluation Latency on GitHub.
MSR
Yue Yu, Huaimin Wang, Vladimir Filkov, Premkumar T. Devanbu, Bogdan Vasilescu
2014 — conf
A Exploratory Study of @-Mention in GitHub's Pull-Requests.
APSEC (1)
Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
2014 — conf
Exploring the patterns of social behavior in GitHub.
CrowdSoft@SIGSOFT FSE
Yue Yu, Gang Yin, Huaimin Wang, Tao Wang
2014 — conf
Investigating social media in GitHub's pull-requests: a case study on Ruby on Rails.
CrowdSoft@SIGSOFT FSE
Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang
2014 A conf
Reviewer Recommender of Pull-Requests in GitHub.
ICSME
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
2014 — conf
Who Should Review this Pull-Request: Reviewer Recommendation to Expedite Crowd Collaboration.
APSEC (1)
Yue Yu, Huaimin Wang, Gang Yin, Charles X. Ling
2013 — conf
A Trusted Remote Attestation Model Based on Trusted Computing.
TrustCom/ISPA/IUCC
Yue Yu, Huaimin Wang, Bo Liu, Gang Yin
2013 C conf
HESA: The Construction and Evaluation of Hierarchical Software Feature Repository.
SEKE
Yue Yu, Huaimin Wang, Gang Yin, Xiang Li, Cheng Yang
2013 — conf
Mining and recommending software features across multiple web repositories.
Internetware
Yue Yu, Huaimin Wang, Gang Yin, Bo Liu
2012 C conf
Inducing Taxonomy from Tags: An Agglomerative Hierarchical Clustering Framework.
ADMA
Xiang Li, Huaimin Wang, Gang Yin, Tao Wang, Cheng Yang, Yue Yu, Dengqing Tang