| 2026 | AAAI | Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance. | Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang |
| 2026 | ACL | ProMed: Shapley Information Gain Guided Reinforcement Learning for Proactive Medical LLMs. | Hongxin Ding, Baixiang Huang, Yue Fang, Weibin Liao, Xinke Jiang, Jinyang Zhang, Yinghao Zhu, Zheng Li, Liantao Ma, Junfeng Zhao, Yasha Wang |
| 2026 | ACL | DFAMS: Dynamic-flow guided Federated Alignment based Multi-prototype Search. | Zhibang Yang, Xinke Jiang, Rihong Qiu, Ruiqing Li, Yihang Zhang, Yue Fang, Yongxin Xu, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2026 | FM | Formal Verification of Functional Correctness for the OpenHarmony LiteOS-M Kernel. | Tianqi Zhao, Qinxiang Cao, Shenghua Feng, Minghui Zhou, Naijun Zhan, Yongzhi Cao, Junfeng Zhao, Haiyan Zhao, Hao Wang, Zhenjiang Hu |
| 2026 | ICDE | Beyond Imputation: A Semantic Unification Framework for Data and its Missingness in Multimodal Healthcare Analytics. | Chaohe Zhang, Liantao Ma, Shiwei Lyu, Xin Gao, Junfeng Zhao, Yasha Wang, Xu Chu |
| 2025 | AAAI | KnowPO: Knowledge-Aware Preference Optimization for Controllable Knowledge Selection in Retrieval-Augmented Language Models. | Ruizhe Zhang, Yongxin Xu, Yuzhen Xiao, Runchuan Zhu, Xinke Jiang, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | AAAI | DearLLM: Enhancing Personalized Healthcare via Large Language Models-Deduced Feature Correlations. | Yongxin Xu, Xinke Jiang, Xu Chu, Rihong Qiu, Yujie Feng, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2025 | ACL | HyKGE: A Hypothesis Knowledge Graph Enhanced RAG Framework for Accurate and Reliable Medical LLMs Responses. | Xinke Jiang, Ruizhe Zhang, Yongxin Xu, Rihong Qiu, Yue Fang, Zhiyuan Wang, Jinyi Tang, Hongxin Ding, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | ACL | TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. | Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | ACL | Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored Tuning. | Yongxin Xu, Ruizhe Zhang, Xinke Jiang, Yujie Feng, Yuzhen Xiao, Xinyu Ma, Runchuan Zhu, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | CLOUD | FedLTA: A Federated Long-Tail Alignment Framework via Global Class Anchors. | Yuzi Li, Zhigang Wang, Qinghua Zhang, Junfeng Zhao |
| 2025 | ECAI | HPA-FedGAN: Federated Generative Adversarial Network Based on Hierarchical Prototype Alignment. | Zhigang Wang, Xinhao Wang, Shihao Yan, Junfeng Zhao |
| 2025 | ECAI | PFL-IDGAN: Personalized Federated Learning Framework Based on Interactive Dual Generative Adversarial Networks. | Zhigang Wang, Yan Yang, Xiaochi Hou, Junfeng Zhao |
| 2025 | EMNLP | 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection. | Hongxin Ding, Yue Fang, Runchuan Zhu, Xinke Jiang, Jinyang Zhang, Yongxin Xu, Weibin Liao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | GECCO | Empowering Quantum Chemistry through Evolutionary Neural Architecture Search. | Junfeng Zhao, Lixin Tang, Xiangman Song |
| 2025 | ICLR | DRESSing Up LLM: Efficient Stylized Question-Answering via Style Subspace Editing. | Xinyu Ma, Yifeng Xu, Yang Lin, Tianlong Wang, Xu Chu, Xin Gao, Junfeng Zhao, Yasha Wang |
| 2025 | ICML | Efficient Graph Continual Learning via Lightweight Graph Neural Tangent Kernels-based Dataset Distillation. | Rihong Qiu, Xinke Jiang, Yuchen Fang, Hongbin Lai, Hao Miao, Xu Chu, Junfeng Zhao, Yasha Wang |
| 2025 | SRDS | Multi-Source Anomaly Detection for Microservice Systems. | Ni Wang, Zhengxin Li, Jingchen Yang, Junfeng Zhao |
| 2024 | ACL | ITAKE: Interactive Unstructured Text Annotation and Knowledge Extraction System with LLMs and ModelOps. | Jiahe Song, Hongxin Ding, Zhiyuan Wang, Yongxin Xu, Yasha Wang, Junfeng Zhao |
| 2024 | CIKM | Multi-Modal Sarcasm Detection via Graph Convolutional Network and Dynamic Network. | Jiaqi Hao, Junfeng Zhao, Zhigang Wang |
| 2024 | CSCWD | MicroMCM: Fine-grained Root Cause Localization for Microservice Systems Based on Multiple Causal Inference Methods. | Hanqing Gao, Junfeng Zhao, Wenhao Li, Zhengxin Li |
| 2024 | GECCO | Exploring a Small Molecule Property Prediction Model with Optimal Comprehensive Performance through Multi-Objective Optimization Algorithms. | Junfeng Zhao, Lixin Tang, Yong Shuai |
| 2024 | ICML | Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation. | Xinyu Ma, Xu Chu, Zhibang Yang, Yang Lin, Xin Gao, Junfeng Zhao |
| 2024 | ICONIP | Correlation Disentangling and Spatio-Temporal Cooperative Optimizing Network for Temperature Prediction Revision. | Aoao Wei, Xitie Zhang, Suping Wu, Shaohua Yang, Junfeng Zhao, Kehua Ma |
| 2024 | IJCNN | LogTIW:A log anomaly detection model based on TF-IDF weighted semantic features. | Jia Kang, Junfeng Zhao, Zhengxin Li |
| 2024 | ICSE | Multi-source Anomaly Detection For Microservice Systems. | Zhengxin Li, Junfeng Zhao, Jia Kang |
| 2024 | KDD | ProtoMix: Augmenting Health Status Representation Learning via Prototype-based Mixup. | Yongxin Xu, Xinke Jiang, Xu Chu, Yuzhen Xiao, Chaohe Zhang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | AAAI | KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations. | Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | ACL | Enhancing Neural Topic Model with Multi-Level Supervisions from Seed Words. | Yang Lin, Xin Gao, Xu Chu, Yasha Wang, Junfeng Zhao, Chao Chen |
| 2023 | ADMA | A Prompt Tuning Method for Chinese Medical Text Classification. | Wenhao Li, Junfeng Zhao, Hanqing Gao |
| 2023 | APNOMS | Research on Decompostion Method of Relational Database Oriented to Microservice Refactoring. | Jiaqi Hao, Junfeng Zhao, Yuxian Li |
| 2023 | DATE | High-accuracy Low-power Reconfigurable Architectures for Decomposition-based Approximate Lookup Table. | Xingyue Qian, Chang Meng, Xiaolong Shen, Junfeng Zhao, Leibin Ni, Weikang Qian |
| 2023 | IJCAI | VecoCare: Visit Sequences-Clinical Notes Joint Learning for Diagnosis Prediction in Healthcare Data. | Yongxin Xu, Kai Yang, Chaohe Zhang, Peinie Zou, Zhiyuan Wang, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | IPCCC | Fuzzy Hierarchy Analysis Based Microservice Splitting Result Evaluation. | Ke Zhao, Junfeng Zhao |
| 2023 | WWW | SeqCare: Sequential Training with External Medical Knowledge Graph for Diagnosis Prediction in Healthcare Data. | Yongxin Xu, Xu Chu, Kai Yang, Zhiyuan Wang, Peinie Zou, Hongxin Ding, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2023 | SEKE | Fortran Code Refactoring Based on MapReduce Programming Model. | Junfeng Zhao, Wenhui Gai, Han Wu |
| 2022 | DAC | SEALS: sensitivity-driven efficient approximate logic synthesis. | Chang Meng, Xuan Wang, Jiajun Sun, Sijun Tao, Wei Wu, Zhihang Wu, Leibin Ni, Xiaolong Shen, Junfeng Zhao, Weikang Qian |
| 2022 | HPCC | Research on Elastic Extension of Multi Type Resources for OpenMP Program. | Junfeng Zhao, Xuesong Gao, Yuancong Li |
| 2022 | ICDM | Enhancing Robust Text Classification via Category Description. | Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao |
| 2022 | KDD | M3Care: Learning with Missing Modalities in Multimodal Healthcare Data. | Chaohe Zhang, Xu Chu, Liantao Ma, Yinghao Zhu, Yasha Wang, Jiangtao Wang, Junfeng Zhao |
| 2022 | PRICAI | Context-Dependent Text-to-SQL Generation with Intermediate Representation. | Xuesong Gao, Junfeng Zhao |
| 2021 | ICPADS | Access Control and Anti-copy Scheme of Cloud Storage Data Based on Blockchain. | Junfeng Zhao, Lu Liu, Feng Liu |
| 2021 | ICSOC | Vertical Scaling of Resource for OpenMP Application. | Junfeng Zhao, Minjia Zhang, Hongji Yang |
| 2021 | PRICAI | Deep Semantic Fusion Representation Based on Special Mechanism of Information Transmission for Joint Entity-Relation Extraction. | Wenqiang Xu, Shiqun Yin, Junfeng Zhao, Ting Pu |
| 2021 | SEKE | Refactoring Java Code to MapReduce Framework (S). | Rui Feng, Junfeng Zhao |
| 2020 | AAAI | COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. | Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2019 | HPCC | Research of Distributed Computing Framework for Foreign Exchange Market Monitoring. | Wenliang Cheng, Zhihong Wang, Yu Zhou, Yi Guo, Junfeng Zhao |
| 2019 | ISPA | Distributed Parallelizability Analysis and Optimization of Legacy Code in Cloud Migration. | Junfeng Zhao, Ziyang Qin, Hongji Yang |
| 2019 | UIC | Multi-Source Data Integration-Based Urban Road GPS Environment Friendliness Estimation. | Liantao Ma, Yasha Wang, Guangju Peng, Chaohe Zhang, Chao Chen, Junfeng Zhao, Jiangtao Wang |
| 2019 | UIC | HISMA: A Human-Machine Iterative Schema Matching Algorithm. | Shuang Tang, Junfeng Zhao, Yasha Wang, Da Cui |
| 2019 | UIC | Assessing Mental Stress Based on Smartphone Sensing Data: An Empirical Study. | Feng Wang, Yasha Wang, Jiangtao Wang, Haoyi Xiong, Junfeng Zhao, Daqing Zhang |
| 2019 | UIC | Supervised Nonnegative Tucker Decomposition for Computational Phenotyping. | Kai Yang, Wenqi Sun, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2019 | UIC | Code Refactoring from OpenMP to MapReduce Model for Big Data Processing. | Junfeng Zhao, Minjia Zhang, Hongji Yang |
| 2018 | ISPA | Code Refactoring Based on MapReduce in Cloud Migration. | Junfeng Zhao, Wenmeng Wang, Hongji Yang |
| 2018 | ISPA | Refactoring OpenMP Code Based on MapReduce Model. | Junfeng Zhao, Minjia Zhang |
| 2018 | ISPA | Distributed Parallelizability Analysis of Legacy Code. | Junfeng Zhao, Zhimei Zhao, Hongji Yang |
| 2018 | UIC | Backward Mining Technology Research on Continuous Attacks in Wide Time Domain. | Liang Guo, Weijian Li, Han Hu, Chunlin Chen, Junfeng Zhao, Zhenghai Cong |
| 2017 | AAAI | TaGiTeD: Predictive Task Guided Tensor Decomposition for Representation Learning from Electronic Health Records. | Kai Yang, Xiang Li, Haifeng Liu, Jing Mei, Guo Tong Xie, Junfeng Zhao, Bing Xie, Fei Wang |
| 2017 | QRS | Toward Summary Extraction Method for Functional Topic. | Wenpeng Li, Yingkui Cao, Junfeng Zhao, Yanzhen Zou, Bing Xie |
| 2016 | ASPDAC | An energy-efficient matrix multiplication accelerator by distributed in-memory computing on binary RRAM crossbar. | Leibin Ni, Yuhao Wang, Hao Yu, Wei Yang, Chuliang Weng, Junfeng Zhao |
| 2016 | CIS | Analysis of Information Security of Electric Power Big Data and Its Countermeasures. | Junfeng Zhao, Yongmei Wang, Yuanyi Xia |
| 2016 | CIS | Detection and Control against Replay Attacks in Smart Grid. | Junfeng Zhao, Jing Wang, Lei Yin |
| 2016 | ICDM | Probabilistic-Mismatch Anomaly Detection: Do One's Medications Match with the Diagnoses. | Lingxiao Zhang, Xiang Li, Haifeng Liu, Jing Mei, Gang Hu, Junfeng Zhao, Yanzhen Zou, Bing Xie, Guotong Xie |
| 2016 | UIC | A Novel Pavement Performance Prediction Framework in Smart City Based on Tensor Decomposition. | Lixia Bao, Kai Yang, Yibo Wang, Junfeng Zhao |
| 2016 | SERVICES | Providing Proactive Fault Tolerance as a Service for Cloud Applications. | Jing Liu, Junfeng Zhao |
| 2015 | ASPDAC | Heterogeneous architecture design with emerging 3D and non-volatile memory technologies. | Qiaosha Zou, Matthew Poremba, Rui He, Wei Yang, Junfeng Zhao, Yuan Xie |
| 2015 | COMPSAC | A Situation-Aware and Interactive System for Assisting People Fill out Paper Forms. | Jiangtao Wang, Yasha Wang, Yafei Wang, Junfeng Zhao |
| 2015 | COMPSAC | Helping Campaign Initiators Create Mobile Crowd Sensing Apps: A Supporting Framework. | Jiangtao Wang, Yasha Wang, Junfeng Zhao |
| 2015 | DATE | An energy-efficient non-volatile in-memory accelerator for sparse-representation based face recognition. | Yuhao Wang, Hantao Huang, Leibin Ni, Hao Yu, Mei Yan, Chuliang Weng, Wei Yang, Junfeng Zhao |
| 2015 | ISLPED | An energy efficient and low cross-talk CMOS sub-THz I/O with surface-wave modulator and interconnect. | Yuan Liang, Hao Yu, Junfeng Zhao, Wei Yang, Yuangang Wang |
| 2015 | ISLPED | Optimizing Boolean embedding matrix for compressive sensing in RRAM crossbar. | Yuhao Wang, Xin Li, Hao Yu, Leibin Ni, Wei Yang, Chuliang Weng, Junfeng Zhao |
| 2014 | ASPDAC | Energy efficient in-memory machine learning for data intensive image-processing by non-volatile domain-wall memory. | Hao Yu, Yuhao Wang, Shuai Chen, Wei Fei, Chuliang Weng, Junfeng Zhao, Zhulin Wei |
| 2014 | ICCCN | Dandelion: A locally-high-performance and globally-high-scalability hierarchical data center network. | Binzhang Fu, Sheng Xu, Wentao Bao, Guolong Jiang, Mingyu Chen, Lixin Zhang, Yidong Tao, Rui He, Junfeng Zhao |
| 2014 | ICNC | An approach of agricultural price information collection based on speech recognition. | Jinpu Xu, Yeping Zhu, Hailong Liu, Junfeng Zhao |
| 2014 | ISLPED | Intelligent frame refresh for energy-aware display subsystems in mobile devices. | Yongbing Huang, Mingyu Chen, Lixin Zhang, Shihai Xiao, Junfeng Zhao, Zhulin Wei |
| 2013 | ICSR | Mining Cohesive Domain Topics from Source Code. | Bing Xie, Meng Li, Jing Jin, Junfeng Zhao, Yanzhen Zou |
| 2013 | SEKE | STERS: A System for Service Trustworthiness Evaluation and Recommendation based on the Trust Network (S). | Yasha Wang, Jiangtao Wang, Yuxing Teng, Junfeng Zhao |
| 2012 | COMPSAC | Internet-Based Evaluation and Prediction of Web Services Trustworthiness. | Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie |
| 2012 | COMPSAC | Translation Rules and a Supporting Tool for Model-Based Reuse. | Junfeng Zhao, Jiantao Zhou, Jing Liu |
| 2012 | ICSOC | ARIMA Model-Based Web Services Trustworthiness Evaluation and Prediction. | Meng Li, Zhebang Hua, Junfeng Zhao, Yanzhen Zou, Bing Xie |
| 2012 | ICWS | Towards Automatic Tagging for Web Services. | Lu Fang, Lijie Wang, Meng Li, Junfeng Zhao, Yanzhen Zou, Lingshuang Shao |
| 2012 | SERVICES | Propositional Logic-Based and Evidence-Rich Trustworthiness Evaluation for Web Services. | Meng Li, Jing Jin, Junfeng Zhao, Bing Xie |
| 2011 | ICWS | CoWS: An Internet-Enriched and Quality-Aware Web Services Search Engine. | Meng Li, Junfeng Zhao, Lijie Wang, Sibo Cai, Bing Xie |
| 2010 | SEKE | TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse. | Junfeng Zhao, Bing Xie, Yasha Wang, Yongjun Xu |
| 2010 | UIC | A Flexible Multi-Source Web Service's QoS Acquisition Framework and Implementation. | Junfeng Zhao, Lingshuang Shao, Zhiwen Cheng, Bing Xie |
| 2009 | ICWS | User-Perceived Service Availability: A Metric and an Estimation Approach. | Lingshuang Shao, Junfeng Zhao, Tao Xie, Lu Zhang, Bing Xie, Hong Mei |
| 2009 | SEKE | User Perceived Response-time Optimization Method for Composite Web Services. | Junfeng Zhao, Yasha Wang, Bing Xie |
| 2008 | ICWS | Dynamic Availability Estimation for Service Selection Based on Status Identification. | Lingshuang Shao, Lu Zhang, Tao Xie, Junfeng Zhao, Bing Xie, Hong Mei |
| 2007 | ICWS | Personalized QoS Prediction forWeb Services via Collaborative Filtering. | Lingshuang Shao, Jing Zhang, Yong Wei, Junfeng Zhao, Bing Xie, Hong Mei |
| 2007 | ICWS | Using Scenario Oriented Response-time Management for Composite Web Services. | Ya-sha Wang, Junfeng Zhao, Ge Li |
| 2004 | ICTAC | Towards an Optimization-Based Method for Consolidating Domain Variabilities in Domain-Specific Web Services Composition. | Junfeng Zhao, Lu Zhang, Yasha Wang, Ying Jiang, Bing Xie |