| 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 | FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning. | Yujie Feng, Hao Wang, Jian Li, Xu Chu, Zhaolu Kang, Yiran Liu, Yasha Wang, Philip S. Yu, Xiao-Ming Wu |
| 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 | CHI | Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics. | Yinghao Zhu, Dehao Sui, Zixiang Wang, Xuning Hu, Lei Gu, Yifan Qi, Tianchen Wu, Ling Wang, Yuan Wei, Wen Tang, Zhihan Cui, Yasha Wang, Lequan Yu, Ewen M. Harrison, Junyi Gao, Liantao Ma |
| 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 | Recurrent Knowledge Identification and Fusion for Language Model Continual Learning. | Yujie Feng, Xujia Wang, Zexin Lu, Shenghong Fu, Guangyuan Shi, Yongxin Xu, Yasha Wang, Philip S. Yu, Xu Chu, Xiao-Ming Wu |
| 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 | 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 | EMNLP | AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning. | Yujie Feng, Jian Li, Xiaoyu Dong, Pengfei Xu, Xiaohui Zhou, Yujia Zhang, Zexin Lu, Yasha Wang, Alan Zhao, Xu Chu, Xiao-Ming Wu |
| 2025 | EMNLP | GeoEdit: Geometric Knowledge Editing for Large Language Models. | Yujie Feng, Li-Ming Zhan, Zexin Lu, Yongxin Xu, Xu Chu, Yasha Wang, Jiannong Cao, Philip S. Yu, Xiao-Ming Wu |
| 2025 | ICLR | TPO: Aligning Large Language Models with Multi-branch & Multi-step Preference Trees. | Weibin Liao, Xu Chu, Yasha Wang |
| 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 | KDD | Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction. | Weibin Liao, Yinghao Zhu, Zhongji Zhang, Yuhang Wang, Zixiang Wang, Xu Chu, Yasha Wang, Liantao Ma |
| 2025 | WWW | Adaptive Activation Steering: A Tuning-Free LLM Truthfulness Improvement Method for Diverse Hallucinations Categories. | Tianlong Wang, Xianfeng Jiao, Yinghao Zhu, Zhongzhi Chen, Yifan He, Xu Chu, Junyi Gao, Yasha Wang, Liantao Ma |
| 2025 | WWW | ColaCare: Enhancing Electronic Health Record Modeling through Large Language Model-Driven Multi-Agent Collaboration. | Zixiang Wang, Yinghao Zhu, Huiya Zhao, Xiaochen Zheng, Dehao Sui, Tianlong Wang, Wen Tang, Yasha Wang, Ewen M. Harrison, Chengwei Pan, Junyi Gao, Liantao Ma |
| 2024 | ACL | Combating Label Sparsity in Short Text Topic Modeling via Nearest Neighbor Augmentation. | Yang Lin, Xinyu Ma, Xin Gao, Ruiqing Li, Yasha Wang, Xu Chu |
| 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 | ICASSP | Predict and Interpret Health Risk Using Ehr Through Typical Patients. | Zhihao Yu, Chaohe Zhang, Yasha Wang, Wen Tang, Jiangtao Wang, Liantao Ma |
| 2024 | ICDE | Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning. | Xin Gao, Yang Lin, Ruiqing Li, Yasha Wang, Xu Chu, Xinyu Ma, Hailong Yu |
| 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 | ICML | Wasserstein Barycenter Matching for Graph Size Generalization of Message Passing Neural Networks. | Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei |
| 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 | 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 |
| 2022 | ICDM | Enhancing Robust Text Classification via Category Description. | Xin Gao, Zhengye Zhu, Xu Chu, Yasha Wang, Wenjie Ruan, Junfeng Zhao |
| 2022 | ICML | DNA: Domain Generalization with Diversified Neural Averaging. | Xu Chu, Yujie Jin, Wenwu Zhu, Yasha Wang, Xin Wang, Shanghang Zhang, Hong Mei |
| 2022 | IJCAI | Domain Generalization through the Lens of Angular Invariance. | Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu |
| 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 |
| 2021 | AAAI | GRASP: Generic Framework for Health Status Representation Learning Based on Incorporating Knowledge from Similar Patients. | Chaohe Zhang, Xin Gao, Liantao Ma, Yasha Wang, Jiangtao Wang, Wen Tang |
| 2021 | IJCAI | Learning Groupwise Explanations for Black-Box Models. | Jingyue Gao, Xiting Wang, Yasha Wang, Yulan Yan, Xing Xie |
| 2021 | WWW | Completing Missing Prevalence Rates for Multiple Chronic Diseases by Jointly Leveraging Both Intra- and Inter-Disease Population Health Data Correlations. | Yujie Feng, Jiangtao Wang, Yasha Wang, Sumi Helal |
| 2021 | WWW | Distilling Knowledge from Publicly Available Online EMR Data to Emerging Epidemic for Prognosis. | Liantao Ma, Xinyu Ma, Junyi Gao, Xianfeng Jiao, Zhihao Yu, Chaohe Zhang, Wenjie Ruan, Yasha Wang, Wen Tang, Jiangtao Wang |
| 2020 | AAAI | AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. | Liantao Ma, Junyi Gao, Yasha Wang, Chaohe Zhang, Jiangtao Wang, Wenjie Ruan, Wen Tang, Xin Gao, Xinyu Ma |
| 2020 | AAAI | ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context. | Liantao Ma, Chaohe Zhang, Yasha Wang, Wenjie Ruan, Jiangtao Wang, Wen Tang, Xinyu Ma, Xin Gao, Junyi Gao |
| 2020 | AAAI | COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment. | Kai Yang, Shaoqin Liu, Junfeng Zhao, Yasha Wang, Bing Xie |
| 2020 | CIKM | Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation. | Jingyue Gao, Yang Lin, Yasha Wang, Xiting Wang, Zhao Yang, Yuanduo He, Xu Chu |
| 2020 | ICDCS | SpotTune: Leveraging Transient Resources for Cost-efficient Hyper-parameter Tuning in the Public Cloud. | Yan Li, Bo An, Junming Ma, Donggang Cao, Yasha Wang, Hong Mei |
| 2020 | ICDE | Neighbor Profile: Bagging Nearest Neighbors for Unsupervised Time Series Mining. | Yuanduo He, Xu Chu, Yasha Wang |
| 2020 | ICML | Distance Metric Learning with Joint Representation Diversification. | Xu Chu, Yang Lin, Yasha Wang, Xiting Wang, Hailong Yu, Xin Gao, Qi Tong |
| 2020 | ICWS | Detecting Temporal Anomaly and Interestingness in Timed Business Process Models. | Deng Zhao, Zhangbing Zhou, Yasha Wang, Walid Gaaloul |
| 2020 | WWW | StageNet: Stage-Aware Neural Networks for Health Risk Prediction. | Junyi Gao, Cao Xiao, Yasha Wang, Wen Tang, Lucas M. Glass, Jimeng Sun |
| 2019 | AAAI | Explainable Recommendation through Attentive Multi-View Learning. | Jingyue Gao, Xiting Wang, Yasha Wang, Xing Xie |
| 2019 | CIKM | STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. | Jingyue Gao, Yuanduo He, Yasha Wang, Xiting Wang, Jiangtao Wang, Guangju Peng, Xu Chu |
| 2019 | EWSN | Data-Driven Bike Sharing System Optimization: State of the Art and Future Opportunities. | Longbiao Chen, Zhihan Jiang, Jiangtao Wang, Yasha Wang |
| 2019 | ICDM | CAMP: Co-Attention Memory Networks for Diagnosis Prediction in Healthcare. | Jingyue Gao, Xiting Wang, Yasha Wang, Zhao Yang, Junyi Gao, Jiangtao Wang, Wen Tang, Xing Xie |
| 2019 | IJCAI | MLRDA: A Multi-Task Semi-Supervised Learning Framework for Drug-Drug Interaction Prediction. | Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, Jingyue Gao |
| 2019 | UIC | MUSEFood: Multi-Sensor-Based Food Volume Estimation on Smartphones. | Junyi Gao, Weihao Tan, Liantao Ma, Yasha Wang, Wen Tang |
| 2019 | UIC | Correlating MSM's Mental Health with Usage Behaviors on MSM-Specific Social Applications. | Xin Gao, Chaohe Zhang, Liantao Ma, Yasha Wang, Jiangtao Wang, Daqing Zhang |
| 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 |
| 2018 | COMPSAC | Mining Rules from Real-Valued Time Series: A Relative Information-Gain-Based Approach. | Yuanduo He, Xu Chu, Guangju Peng, Yasha Wang, Zhu Jin, Xiaorong Wang |
| 2018 | ICDCS | Cell Selection with Deep Reinforcement Learning in Sparse Mobile Crowdsensing. | Leye Wang, Wenbin Liu, Daqing Zhang, Yasha Wang, En Wang, Yongjian Yang |
| 2018 | ICDM | Characteristic Subspace Learning for Time Series Classification. | Yuanduo He, Jialiang Pei, Xu Chu, Yasha Wang, Zhu Jin, Guangju Peng |
| 2018 | PAKDD | CAPED: Context-Aware Powerlet-Based Energy Disaggregation. | Jingyue Gao, Yasha Wang, Xu Chu, Yuanduo He, Ziqing Mao |
| 2017 | CSCW | PSAllocator: Multi-Task Allocation for Participatory Sensing with Sensing Capability Constraints. | Jiangtao Wang, Yasha Wang, Daqing Zhang, Feng Wang, Yuanduo He, Liantao Ma |
| 2017 | PERCOM | GreenPlanner: Planning personalized fuel-efficient driving routes using multi-sourced urban data. | Yan Ding, Chao Chen, Shu Zhang, Bin Guo, Zhiwen Yu, Yasha Wang |
| 2016 | MSWIM | Towards Future Situation-Awareness: A Conceptual Middleware Framework for Opportunistic Situation Identification. | Kai Yang, Jing Wang, Lixia Bao, Mei Ding, Jiangtao Wang, Yasha Wang |
| 2016 | UIC | A Survey on Wi-Fi Based Contactless Activity Recognition. | Junyi Ma, Hao Wang, Daqing Zhang, Yasha Wang, Yuxiang Wang |
| 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 | ICOST | Anti-fall: A Non-intrusive and Real-Time Fall Detector Leveraging CSI from Commodity WiFi Devices. | Daqing Zhang, Hao Wang, Yasha Wang, Junyi Ma |
| 2015 | UIC | Ubiquitous Intelligent Computing in 10 Years VS Chinese Kungfu. | Liantao Ma, Yibo Wang, Junyi Ma, Yuanduo He, Zhaopeng Qiu, Zhengyang Qin, Yasha Wang |
| 2015 | UIC | WSelector: A Multi-scenario and Multi-view Worker Selection Framework for Crowd-Sensing. | Jiangtao Wang, Sumi Helal, Yasha Wang, Daqing Zhang |
| 2014 | ICGSE | A Participant Recruitment Framework for Crowdsourcing Based Software Requirement Acquisition. | Hao Wang, Yasha Wang, Jiangtao Wang |
| 2014 | ICGSE | PSAFactory: An End-User Programming Tool for Building Participatory Sensing Applications. | Jiangtao Wang, Yasha Wang, Hao Wang |
| 2014 | UIC | Situation Inference by Fusion of Opportunistically Available Contexts. | Jiangtao Wang, Yasha Wang, Hongru Ren, Daqing Zhang |
| 2013 | COMPSAC | QTime: A Queuing-Time Notification System Based on Participatory Sensing Data. | Yasha Wang, Jiangtao Wang, Xiaoyu Zhang |
| 2013 | Mobiquitous | OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm. | Jiangtao Wang, Yasha Wang, Yuanduo He |
| 2013 | SEKE | How Does Acquirer's Participation Influence Performance of Software Projects: A Quantitative Analysis (S). | Yasha Wang, Jiangtao Wang, Jiakuan Ma, Bing Xie |
| 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 |
| 2010 | SEKE | TSRR: A Software Resource Repository for Trustworthiness Resource Management and Reuse. | Junfeng Zhao, Bing Xie, Yasha Wang, Yongjun Xu |
| 2009 | APSEC | An Automatic Compliance Checking Approach for Software Processes. | Xiaoyang He, Jingang Guo, Yasha Wang, Ying Guo |
| 2009 | SEKE | User Perceived Response-time Optimization Method for Composite Web Services. | Junfeng Zhao, Yasha Wang, Bing Xie |
| 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 |