Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection. - Xinyue Liu 002; Fenglong Ma; Hongfei Lin; Hong Shen (PAAP, 2010)

Topic Detection with Hypergraph Partition Algorithm. - Xinyue Liu 002; Fenglong Ma; Hongfei Lin (J. Softw., 2011)

Topical Influential User Analysis with Relationship Strength Estimation in Twitter. - Xinyue Liu 002; Hua Shen 001; Fenglong Ma; Wenxin Liang (ICDM Workshops, 2014)

Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. - Fenglong Ma; Jing Gao 004 (ICDM Workshops, 2015)

FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. - Fenglong Ma; Yaliang Li; Qi Li 012; Minghui Qiu; Jing Gao 004; Shi Zhi; Lu Su 001; Bo Zhao 001; Heng Ji 001; Jiawei Han 001 (KDD, 2015)

Influence-Aware Truth Discovery. - Hengtong Zhang; Qi Li 012; Fenglong Ma; Houping Xiao; Yaliang Li; Jing Gao 004; Lu Su 001 (CIKM, 2016)

Topic Discovery for Short Texts Using Word Embeddings. - Guangxu Xun; Vishrawas Gopalakrishnan; Fenglong Ma; Yaliang Li; Jing Gao 004; Aidong Zhang (ICDM, 2016)

Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (KDD, 2016)

Crowdsourcing High Quality Labels with a Tight Budget. - Qi Li 012; Fenglong Ma; Jing Gao 004; Lu Su 001; Christopher J. Quinn (WSDM, 2016)

A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. - Qiuling Suo; Fenglong Ma; Giovanni Canino; Jing Gao 004; Aidong Zhang; Pierangelo Veltri; Agostino Gnasso (AMIA, 2017)

Personalized disease prediction using a CNN-based similarity learning method. - Qiuling Suo; Fenglong Ma; Ye Yuan 006; Mengdi Huai; Weida Zhong; Aidong Zhang; Jing Gao 004 (BIBM, 2017)

Discovering Truths from Distributed Data. - Yaqing Wang 001; Fenglong Ma; Lu Su 001; Jing Gao 004 (ICDM, 2017)

Long-Term Memory Networks for Question Answering. - Fenglong Ma; Radha Chitta; Saurabh Kataria 003; Jing Zhou; Palghat Ramesh; Tong Sun 001; Jing Gao 004 (SML@IJCAI, 2017)

Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. - Fenglong Ma; Radha Chitta; Jing Zhou; Quanzeng You; Tong Sun 001; Jing Gao 004 (KDD, 2017)

Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. - Fenglong Ma; Chuishi Meng; Houping Xiao; Qi Li 012; Jing Gao 004; Lu Su 001; Aidong Zhang (KDD, 2017)

Discovering social spammers from multiple views. - Hua Shen 001; Fenglong Ma; Xianchao Zhang 001; Linlin Zong; Xinyue Liu 002; Wenxin Liang (Neurocomputing, 2017)

Leveraging the Power of Informative Users for Local Event Detection. - Hengtong Zhang; Fenglong Ma; Yaliang Li; Chao Zhang 014; Tianqi Wang; Yaqing Wang 001; Jing Gao 004; Lu Su 001 (ASONAM, 2018)

A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. - Ye Yuan 006; Guangxu Xun; Fenglong Ma; Qiuling Suo; Hongfei Xue; Kebin Jia; Aidong Zhang (BHI, 2018)

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BIBM, 2018)

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BIBM, 2018)

KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. - Fenglong Ma; Quanzeng You; Houping Xiao; Radha Chitta; Jing Zhou; Jing Gao 004 (CIKM, 2018)

Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. - Qiuling Suo; Weida Zhong; Fenglong Ma; Ye Yuan 006; Mengdi Huai; Aidong Zhang (ICDM, 2018)

eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. - Houping Xiao; Fei Wang; Fenglong Ma; Jing Gao 004 (ICDM, 2018)

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. - Ye Yuan 006; Guangxu Xun; Fenglong Ma; Yaqing Wang 001; Nan Du 001; Kebin Jia; Lu Su 001; Aidong Zhang (ICDM, 2018)

Risk Prediction on Electronic Health Records with Prior Medical Knowledge. - Fenglong Ma; Jing Gao 004; Qiuling Suo; Quanzeng You; Jing Zhou; Aidong Zhang (KDD, 2018)

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. - Yaqing Wang 001; Fenglong Ma; Zhiwei Jin; Ye Yuan 006; Guangxu Xun; Kishlay Jha; Lu Su 001; Jing Gao 004 (KDD, 2018)

TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. - Hengtong Zhang; Yaliang Li; Fenglong Ma; Jing Gao 004; Lu Su 001 (KDD, 2018)

Towards Environment Independent Device Free Human Activity Recognition. - Wenjun Jiang; Chenglin Miao; Fenglong Ma; Shuochao Yao; Yaqing Wang 001; Ye Yuan 006; Hongfei Xue; Chen Song 001; Xin Ma 006; Dimitrios Koutsonikolas; Wenyao Xu; Lu Su 001 (MobiCom, 2018)

Online Truth Discovery on Time Series Data. - Liuyi Yao; Lu Su 001; Qi Li 012; Yaliang Li; Fenglong Ma; Jing Gao 004; Aidong Zhang (SDM, 2018)

An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. - Qiuling Suo; Fenglong Ma; Giovanni Canino; Jing Gao 004; Aidong Zhang; Agostino Gnasso; Giuseppe Tradigo; Pierangelo Veltri (SEBD, 2018)

WiAU: An Accurate Device-Free Authentication System with ResNet. - Chi Lin 001; Jiaye Hu; Yu Sun; Fenglong Ma; Lei Wang 005; Guowei Wu (SECON, 2018)

Multi-grained Named Entity Recognition. - Congying Xia; Chenwei Zhang; Tao Yang 012; Yaliang Li; Nan Du 001; Xian Wu 001; Wei Fan 001; Fenglong Ma; Philip S. Yu (ACL (1), 2019)

Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors. - Fenglong Ma; Shiran Zhong; Jing Gao 004; Ling Bian (BCB, 2019)

Online Federated Multitask Learning. - Rui Li; Fenglong Ma; Wenjun Jiang; Jing Gao 004 (IEEE BigData, 2019)

IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. - Tianqi Wang; Houping Xiao; Fenglong Ma; Jing Gao 004 (IEEE BigData, 2019)

Deep Hierarchical Knowledge Tracing. - Tianqi Wang; Fenglong Ma; Jing Gao 004 (EDM, 2019)

Metric Learning on Healthcare Data with Incomplete Modalities. - Qiuling Suo; Weida Zhong; Fenglong Ma; Ye Yuan 006; Jing Gao 004; Aidong Zhang (IJCAI, 2019)

Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks. - Chi Lin 001; Yanhong Zhou; Fenglong Ma; Jing Deng 001; Lei Wang 005; Guowei Wu (INFOCOM, 2019)

Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. - Yao Zhou; Fenglong Ma; Jing Gao 004; Jingrui He (KDD, 2019)

DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. - Hongfei Xue; Wenjun Jiang; Chenglin Miao; Ye Yuan 006; Fenglong Ma; Xin Ma 006; Yijiang Wang; Shuochao Yao; Wenyao Xu; Aidong Zhang; Lu Su 001 (MobiHoc, 2019)

MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. - Fenglong Ma; Yaliang Li; Chenwei Zhang; Jing Gao 004; Nan Du 001; Wei Fan 001 (WWW, 2019)

A hybrid self-attention deep learning framework for multivariate sleep stage classification. - Ye Yuan 006; Kebin Jia; Fenglong Ma; Guangxu Xun; Yaqing Wang 001; Lu Su 001; Aidong Zhang (BMC Bioinform., 2019)

A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. - Weida Zhong; Qiuling Suo; Fenglong Ma; Yunfei Hou; Abhishek Gupta; Chunming Qiao; Lu Su 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

Incorporating medical code descriptions for diagnosis prediction in healthcare. - Fenglong Ma; Yaqing Wang 001; Houping Xiao; Ye Yuan 006; Radha Chitta; Jing Zhou; Jing Gao 004 (BMC Medical Informatics Decis. Mak., 2019)

Towards Confidence Interval Estimation in Truth Discovery. - Houping Xiao; Jing Gao 004; Qi Li 012; Fenglong Ma; Lu Su 001; Yunlong Feng; Aidong Zhang (IEEE Trans. Knowl. Data Eng., 2019)

Deep Predictive Models for Mining Electronic Health Records. - Fenglong Ma (2019)

Weak Supervision for Fake News Detection via Reinforcement Learning. - Yaqing Wang 001; Weifeng Yang; Fenglong Ma; Jin Xu; Bin Zhong; Qiang Deng; Jing Gao 004 (AAAI, 2020)

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. - Yaqing Wang 001; Fenglong Ma; Jing Gao 004 (CIKM, 2020)

LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. - Muchao Ye; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2020)

WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi. - Chi Lin 001; Tingting Xu; Jie Xiong 001; Fenglong Ma; Lei Wang 005; Guowei Wu (ICDCS, 2020)

LP-Explain: Local Pictorial Explanation for Outliers. - Haoyu Liu; Fenglong Ma; Yaqing Wang 001; Shibo He; Jiming Chen 001; Jing Gao 004 (ICDM, 2020)

DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. - Limeng Cui; Haeseung Seo; Maryam Tabar; Fenglong Ma; Suhang Wang; Dongwon Lee 001 (KDD, 2020)

HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. - Junyu Luo 001; Muchao Ye; Cao Xiao; Fenglong Ma (KDD, 2020)

Attackability Characterization of Adversarial Evasion Attack on Discrete Data. - Yutong Wang; Yufei Han 001; Hongyan Bao; Yun Shen; Fenglong Ma; Jin Li 002; Xiangliang Zhang 001 (KDD, 2020)

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. - Fenglong Ma; Yaqing Wang 001; Jing Gao 004; Houping Xiao; Jing Zhou (SDM, 2020)

WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing. - Zhengxiong Li; Fenglong Ma; Aditya Singh Rathore; Zhuolin Yang; Baicheng Chen; Lu Su 001; Wenyao Xu (SP, 2020)

Learning with Small Data. - Zhenhui Li; Huaxiu Yao; Fenglong Ma (WSDM, 2020)

A Benchmark Dataset for Understandable Medical Language Translation. - Junyu Luo 001; Zifei Zheng; Hanzhong Ye; Muchao Ye; Yaqing Wang 001; Quanzeng You; Cao Xiao; Fenglong Ma (CoRR, 2020)

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. - Zewei Long; Liwei Che; Yaqing Wang 001; Muchao Ye; Junyu Luo 001; Jinze Wu; Houping Xiao; Fenglong Ma (CoRR, 2020)

DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. - Hongfei Xue; Wenjun Jiang; Chenglin Miao; Fenglong Ma; Shiyang Wang; Ye Yuan 006; Shuochao Yao; Aidong Zhang; Lu Su 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Joint imbalanced classification and feature selection for hospital readmissions. - Guodong Du 002; Jia Zhang; Zhiming Luo; Fenglong Ma; Lei Ma 010; Shaozi Li (Knowl. Based Syst., 2020)

i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. - Xinyang Zhang 001; Ren Pang; Shouling Ji; Fenglong Ma; Ting Wang 006 (AAAI, 2021)

Fusion: Towards Automated ICD Coding via Feature Compression. - Junyu Luo 001; Cao Xiao; Lucas Glass; Jimeng Sun 001; Fenglong Ma (ACL/IJCNLP (Findings), 2021)

Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. - Xingyi Yang; Muchao Ye; Quanzeng You; Fenglong Ma (ACL/IJCNLP (1), 2021)

Integrating Multimodal Electronic Health Records for Diagnosis Prediction. - Rui Li; Fenglong Ma; Jing Gao 004 (AMIA, 2021)

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. - Liwei Che; Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (IEEE BigData, 2021)

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (CIKM, 2021)

Knowledge-Guided Paraphrase Identification. - Haoyu Wang 004; Fenglong Ma; Yaqing Wang 001; Jing Gao 004 (EMNLP (Findings), 2021)

SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (IJCAI, 2021)

Advances in Mining Heterogeneous Healthcare Data. - Fenglong Ma; Muchao Ye; Junyu Luo 001; Cao Xiao; Jimeng Sun 001 (KDD, 2021)

Multimodal Emergent Fake News Detection via Meta Neural Process Networks. - Yaqing Wang 001; Fenglong Ma; Haoyu Wang 004; Kishlay Jha; Jing Gao 004 (KDD, 2021)

ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection. - Guanjie Huang; Fenglong Ma (ECML/PKDD (5), 2021)

Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. - Tianqi Wang; Fenglong Ma; Yaqing Wang 001; Tang Tang; Longfei Zhang; Jing Gao 004 (SDM, 2021)

UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. - Chacha Chen; Junjie Liang; Fenglong Ma; Lucas Glass; Jimeng Sun 001; Cao Xiao (WWW, 2021)

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. - Muchao Ye; Suhan Cui; Yaqing Wang 001; Junyu Luo 001; Cao Xiao; Fenglong Ma (WWW, 2021)

Fairness-aware Outlier Ensemble. - Haoyu Liu; Fenglong Ma; Shibo He; Jiming Chen 001; Jing Gao 004 (CoRR, 2021)

SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. - Chaoqi Yang; Cao Xiao; Fenglong Ma; Lucas Glass; Jimeng Sun 001 (CoRR, 2021)

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. - Zewei Long; Jiaqi Wang 002; Yaqing Wang 001; Houping Xiao; Fenglong Ma (CoRR, 2021)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Ting Wang 006; Fenglong Ma (CoRR, 2021)

Towards graph-based class-imbalance learning for hospital readmission. - Guodong Du 002; Jia Zhang; Fenglong Ma; Min Zhao; Yaojin Lin; Shaozi Li (Expert Syst. Appl., 2021)

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. - Muchao Ye; Chenglin Miao; Ting Wang 006; Fenglong Ma (AAAI, 2022)

TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification. - Guanjie Huang; Fenglong Ma (BHI, 2022)

AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. - Suhan Cui; Jiaqi Wang 002; Xinning Gui; Ting Wang 006; Fenglong Ma (BIBM, 2022)

AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. - Guanjie Huang; Ye Yuan 006; Guohong Cao; Fenglong Ma (BIBM, 2022)

MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. - Muchao Ye; Junyu Luo 001; Guanjie Zheng; Cao Xiao; Houping Xiao; Ting Wang 006; Fenglong Ma (BIBM, 2022)

RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. - Bo Xu 009; Hongtong Zhang; Jian Wang 021; Xiaokun Zhang 001; Dezhi Hao; Linlin Zong; Hongfei Lin; Fenglong Ma (COLING, 2022)

Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. - Junyu Luo 001; Junxian Lin; Chi Lin 001; Cao Xiao; Xinning Gui; Fenglong Ma (COLING, 2022)

Dual Memory Network for Medical Dialogue Generation. - Zongli Jiang; Jia Xu; Jinli Zhang; Fenglong Ma; Jianqiang Li 002 (HPCC/DSS/SmartCity/DependSys, 2022)

Medical Dialogue Generation via Extracting Heterogenous Information. - Bocheng Zhao; Zongli Jiang; Jinli Zhang; Fenglong Ma; Jianqiang Li 002 (HPCC/DSS/SmartCity/DependSys, 2022)

MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. - Suhan Cui; Junyu Luo 001; Muchao Ye; Jiaqi Wang 002; Ting Wang 006; Fenglong Ma (ICDM, 2022)

Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. - Tianqi Wang; Fenglong Ma; Yaqing Wang 001; Jing Gao 004 (ICDM, 2022)

LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. - Muchao Ye; Jinghui Chen; Chenglin Miao; Ting Wang 006; Fenglong Ma (KDD, 2022)

Towards Federated COVID-19 Vaccine Side Effect Prediction. - Jiaqi Wang 002; Cheng Qian 001; Suhan Cui; Lucas Glass; Fenglong Ma (ECML/PKDD (6), 2022)

Textbook Enhanced Student Learning Outcome Prediction. - Tianqi Wang; Fenglong Ma; Tang Tang; Longfei Zhang; Jing Gao 004 (SDM, 2022)

WiLCA: Accelerating Contactless Authentication with Limited Data. - Chi Lin 001; Chuanying Ji; Fenglong Ma; Lei Wang 005; Wei Zhong; Guowei Wu (SECON, 2022)

Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Liang Yang 003; Chenliang Li; Fenglong Ma; Haifeng Liu 002; Hongfei Lin (SIGIR, 2022)

QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. - Muchao Ye; Quanzeng You; Fenglong Ma (WACV, 2022)

Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. - Sean A. Rendar; Fenglong Ma (CoRR, 2022)

Reasoning over Multi-view Knowledge Graphs. - Zhaohan Xi; Ren Pang; Changjiang Li; Tianyu Du; Shouling Ji; Fenglong Ma; Ting Wang 006 (CoRR, 2022)

Dynamic intent-aware iterative denoising network for session-based recommendation. - Xiaokun Zhang 001; Hongfei Lin; Bo Xu 009; Chenliang Li; Yuan Lin 001; Haifeng Liu 002; Fenglong Ma (Inf. Process. Manag., 2022)

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Xiaoming Xu 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

Boosting Few-Shot Text Classification via Distribution Estimation. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Fenglong Ma; Xiao-Ming Wu 003; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

AutoML in The Wild: Obstacles, Workarounds, and Expectations. - Yuan Sun 014; Qiurong Song; Xinning Gui; Fenglong Ma; Ting Wang 006 (CHI, 2023)

Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. - Han Liu 008; Hongxiang Lin; Xiaotong Zhang 003; Fenglong Ma; Hongyang Chen; Lei Wang 005; Hong Yu 005; Xianchao Zhang 001 (CIKM, 2023)

ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. - Junyu Luo 001; Zhi Qiao 007; Lucas Glass; Cao Xiao; Fenglong Ma (CIKM, 2023)

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. - Junyu Luo 001; Cheng Qian 001; Xiaochen Wang 002; Lucas Glass; Fenglong Ma (CIKM, 2023)

Hierarchical Pretraining on Multimodal Electronic Health Records. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Ziyi Yin 003; Suhan Cui; Yuan Zhong 002; Yaqing Wang 001; Fenglong Ma (EMNLP, 2023)

Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. - Han Liu 008; Xingshuo Huang; Xiaotong Zhang 003; Qimai Li; Fenglong Ma; Wei Wang 077; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (IJCAI, 2023)

PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. - Muchao Ye; Jinghui Chen; Chenglin Miao; Han Liu 008; Ting Wang 006; Fenglong Ma (KDD, 2023)

VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Tianyu Du; Jinguo Zhu; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (NeurIPS, 2023)

Towards Personalized Federated Learning via Heterogeneous Model Reassembly. - Jiaqi Wang 002; Xingyi Yang; Suhan Cui; Liwei Che; Lingjuan Lyu; Dongkuan Xu; Fenglong Ma (NeurIPS, 2023)

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Jinghui Chen; Fenglong Ma; Ting Wang 006 (NeurIPS, 2023)

UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. - Muchao Ye; Ziyi Yin 003; Tianrong Zhang; Tianyu Du; Jinghui Chen; Ting Wang 006; Fenglong Ma (NeurIPS, 2023)

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. - Jiaqi Wang 002; Shenglai Zeng; Zewei Long; Yaqing Wang 001; Houping Xiao; Fenglong Ma (SDM, 2023)

On the Security Risks of Knowledge Graph Reasoning. - Zhaohan Xi; Tianyu Du; Changjiang Li; Ren Pang; Shouling Ji; Xiapu Luo; Xusheng Xiao; Fenglong Ma; Ting Wang 006 (USENIX Security Symposium, 2023)

Hate Speech Detection via Dual Contrastive Learning. - Junyu Lu; Hongfei Lin; Xiaokun Zhang 001; Zhaoqing Li; Tongyue Zhang; Linlin Zong; Fenglong Ma; Bo Xu 009 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. - Amogh Subbakrishna Adishesha; Lily Jakielaszek; Fariha Azhar; Peixuan Zhang; Vasant G. Honavar; Fenglong Ma; Chandra Belani; Prasenjit Mitra; Sharon Xiaolei Huang (IEEE J. Biomed. Health Informatics, 2023)

Multimodal Federated Learning: A Survey. - Liwei Che; Jiaqi Wang 002; Yao Zhou; Fenglong Ma (Sensors, 2023)

Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. - Yue You; Chun-Hua Tsai; Yao Li 006; Fenglong Ma; Christopher Heron; Xinning Gui (ACM Trans. Comput. Hum. Interact., 2023)

Predicting line of therapy transition via similar patient augmentation. - Suhan Cui; Guanhao Wei; Li Zhou; Emily Zhao; Ting Wang 006; Fenglong Ma (J. Biomed. Informatics, 2023)

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. - Ziyi Yin 003; Muchao Ye; Tianrong Zhang; Jiaqi Wang 002; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (AAAI, 2024)

Depression Detection via Capsule Networks with Contrastive Learning. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. - Wei Qian; Chenxu Zhao; Yangyi Li; Fenglong Ma; Chao Zhang 014; Mengdi Huai (AAAI, 2024)

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. - Xiaochen Wang 002; Junyu Luo 001; Jiaqi Wang 002; Yuan Zhong 002; Xiaokun Zhang 001; Yaqing Wang 001; Parminder Bhatia; Cao Xiao; Fenglong Ma (ACL (1), 2024)

Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. - Jiaqi Wang 002; Houping Xiao; Fenglong Ma (BCB, 2024)

Generative AI in the Wild: Prospects, Challenges, and Strategies. - Yuan Sun 014; Eunchae Jang; Fenglong Ma; Ting Wang 006 (CHI, 2024)

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. - Junyu Luo 001; Xiaochen Wang 002; Jiaqi Wang 002; Aofei Chang; Yaqing Wang 001; Fenglong Ma (LREC/COLING, 2024)

Zero-Resource Hallucination Prevention for Large Language Models. - Junyu Luo 001; Cao Xiao; Fenglong Ma (EMNLP (Findings), 2024)

BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. - Aofei Chang; Jiaqi Wang 002; Han Liu 008; Parminder Bhatia; Cao Xiao; Ting Wang 006; Fenglong Ma (EMNLP (Findings), 2024)

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. - Xiaochen Wang 002; Jiaqi Wang 002; Houping Xiao; Jinghui Chen; Fenglong Ma (EMNLP, 2024)

Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. - Jiaqi Wang 002; Chenxu Zhao; Lingjuan Lyu; Quanzeng You; Mengdi Huai; Fenglong Ma (ICML, 2024)

Recent Advances in Predictive Modeling with Electronic Health Records. - Jiaqi Wang 002; Junyu Luo 001; Muchao Ye; Xiaochen Wang 002; Yuan Zhong 002; Aofei Chang; Guanjie Huang; Ziyi Yin 003; Cao Xiao; Jimeng Sun 001; Fenglong Ma (IJCAI, 2024)

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. - Xiaochen Wang 002; Xiao Xiao; Ruhan Zhang; Xuan Zhang; Taesik Na; Tejaswi Tenneti; Haixun Wang; Fenglong Ma (KDD, 2024)

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. - Yuan Zhong 002; Xiaochen Wang 002; Jiaqi Wang 002; Xiaokun Zhang 001; Yaqing Wang 001; Mengdi Huai; Cao Xiao; Fenglong Ma (KDD, 2024)

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. - Jiaqi Wang 002; Xiaochen Wang 002; Lingjuan Lyu; Jinghui Chen; Fenglong Ma (NeurIPS, 2024)

Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. - Yuanpu Cao; Tianrong Zhang; Bochuan Cao; Ziyi Yin 003; Lu Lin 001; Fenglong Ma; Jinghui Chen (NeurIPS, 2024)

pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. - Jiaqi Wang 002; Qi Li 012; Lingjuan Lyu; Fenglong Ma (NeurIPS, 2024)

Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. - Jiaqi Wang 002; Yuzhong Chen; Yuhang Wu 002; Mahashweta Das; Hao Yang 007; Fenglong Ma (PAKDD (3), 2024)

DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches. - Zida Liu; Xianda Chen; Fenglong Ma; Julio Fernandez-Mendoza; Guohong Cao (PerCom, 2024)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. - Liwei Che; Jiaqi Wang 002; Xinyue Liu 002; Fenglong Ma (ECML/PKDD (9), 2024)

Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. - Suhan Cui; Jiaqi Wang 002; Yuan Zhong 002; Han Liu 008; Ting Wang 006; Fenglong Ma (SDM, 2024)

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. - Yuan Zhong 002; Suhan Cui; Jiaqi Wang 002; Xiaochen Wang 002; Ziyi Yin 003; Yaqing Wang 001; Houping Xiao; Mengdi Huai; Ting Wang 006; Fenglong Ma (SDM, 2024)

Clinical Trial Retrieval via Multi-grained Similarity Learning. - Junyu Luo 001; Cheng Qian 001; Lucas Glass; Fenglong Ma (SIGIR, 2024)

Disentangling ID and Modality Effects for Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Zhaochun Ren; Xiaochen Wang 002; Hongfei Lin; Fenglong Ma (SIGIR, 2024)

FineRec: Exploring Fine-grained Sequential Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Youlin Wu; Yuan Zhong 002; Hongfei Lin; Fenglong Ma (SIGIR, 2024)

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. - Changjiang Li; Ren Pang; Bochuan Cao; Jinghui Chen; Fenglong Ma; Shouling Ji; Ting Wang 006 (CoRR, 2024)

Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li; Liang Yang 003; Hongfei Lin (IEEE Trans. Knowl. Data Eng., 2024)

Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Chenliang Li; Yuan Lin 001; Hongfei Lin (ACM Trans. Inf. Syst., 2024)

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. - Han Liu 008; Yuanyuan Wang; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (AAAI, 2025)

DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning. - Xukun Liu; Haoze Lv; Fenglong Ma; Chi Wang; Dongkuan Xu (AAAI Spring Symposia, 2025)

Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. - Ziyi Yin 003; Muchao Ye; Yuanpu Cao; Jiaqi Wang 002; Aofei Chang; Han Liu 008; Jinghui Chen; Ting Wang 006; Fenglong Ma (ACL (Findings), 2025)

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Wei Wang 077; Hong Yu 005 (ACL (1), 2025)

Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. - Aofei Chang; Le Huang; Alex James Boyd; Parminder Bhatia; Taha A. Kass-Hout; Cao Xiao; Fenglong Ma (ACL (1), 2025)

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. - Tanqiu Jiang; Changjiang Li; Fenglong Ma; Ting Wang 006 (ICLR, 2025)

Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. - Jiaqi Wang 002; Ziyi Yin 003; Quanzeng You; Lingjuan Lyu; Fenglong Ma (KDD (1), 2025)

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. - Han Liu 008; Haotian Gao; Xiaotong Zhang 003; Changya Li; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (KDD (1), 2025)

Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. - Wen Xiong; Jinduo Liu 001; Junzhong Ji; Fenglong Ma (KDD (1), 2025)

MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models. - Aofei Chang; Le Huang; Parminder Bhatia; Taha A. Kass-Hout; Fenglong Ma; Cao Xiao (CoRR, 2025)

AutoRAN: Weak-to-Strong Jailbreaking of Large Reasoning Models. - Jiacheng Liang; Tanqiu Jiang; Yuhui Wang 003; Rongyi Zhu; Fenglong Ma; Ting Wang 006 (CoRR, 2025)

Robustifying Vision-Language Models via Dynamic Token Reweighting. - Tanqiu Jiang; Jiacheng Liang; Rongyi Zhu; Jiawei Zhou; Fenglong Ma; Ting Wang 006 (CoRR, 2025)

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph. - Xiaochen Wang 002; Yuan Zhong 002; Lingwei Zhang; Lisong Dai; Ting Wang 006; Fenglong Ma (CoRR, 2025)

GPR: Empowering Generation with Graph-Pretrained Retriever. - Xiaochen Wang 002; Zongyu Wu 001; Yuan Zhong 002; Xiang Zhang 001; Suhang Wang; Fenglong Ma (CoRR, 2025)

Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. - Tianrun Yu; Jiaqi Wang 002; Haoyu Wang 004; Mingquan Lin; Han Liu 008; Nelson S. Yee; Fenglong Ma (CoRR, 2025)

A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. - Xiaokun Zhang 001; Bo Xu 009; Chenliang Li; Bowei He; Hongfei Lin; Chen Ma 001; Fenglong Ma (IEEE Trans. Knowl. Data Eng., 2025)

Rethinking contrastive learning in session-based recommendation. - Xiaokun Zhang 001; Bo Xu 009; Fenglong Ma; Zhizheng Wang; Liang Yang 003; Hongfei Lin (Pattern Recognit., 2026)