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Fenglong Ma

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

120

Venues

28

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

120 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIEnhancing Medical Large Vision-Language Models via Alignment Distillation.Aofei Chang, Ting Wang, Fenglong Ma
2026AAAIMulti-graph Fusion Cross-model Contrastive Learning for Recommendation.Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang, Wen Shan
2026AAAISelf-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification.Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang
2026ACLCan Factual Opinions Be Edited (Manipulated) in Large Language Models?Yuanpu Cao, Ziyi Yin, Fenglong Ma, Jinghui Chen
2026ACLAutoRAN: Automated Hijacking of Safety Reasoning in Large Reasoning Models.Jiacheng Liang, Tanqiu Jiang, Yuhui Wang, Rongyi Zhu, Fenglong Ma, Ting Wang
2026ACLPru-CoT: Towards Efficient Reasoning Distillation via Pruning Chain-of-Thought.Han Liu, Shuotian Ma, Hui Li, Xiaotong Zhang, Fenglong Ma, Hong Yu
2026ACLICDAGENT: Empowering Agentic Large Language Models for Explainable Medical Coding.Ziyi Yin, Yuanpu Cao, Ting Wang, Jinghui Chen, Fenglong Ma
2026ACLGrocLM: Grocery Category Recommendation in E-Commerce with Large Language Models.Yuan Zhong, Chuanwei Ruan, Moein Hasani, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
2026PAKDDCALM-ECG: Toward Accurate and Explainable ECG Analysis Through Deep Learning and Vision-Language Model Integration.Sileshi Nibret Zeleke, Mario A. Bochicchio, Aofei Chang, Fenglong Ma
2026WWWSEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack.Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2026WWWGPR: Empowering Generation with Graph-Pretrained Retriever.Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026WWWHierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning.Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang
2025AAAIMulti-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning.Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025ACLShadow-Activated Backdoor Attacks on Multimodal Large Language Models.Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2025ACLAdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection.Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu
2025ACLFocus 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
2025ICDMToward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models.Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao
2025ICLRRAPID: Retrieval Augmented Training of Differentially Private Diffusion Models.Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang
2025ICMLEnhancing Foundation Models with Federated Domain Knowledge Infusion.Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025KDDMedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis.Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Fenglong Ma
2025KDDAsymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis.Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2025KDDSEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models.Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025KDDBrain Effective Connectivity Estimation via Fourier Spatiotemporal Attention.Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025KDDTowards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift.Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025MICCAITwo-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis.Yiran Song, Yikai Zhang, Silvia Orengo-Nania, Nian Wang, Fenglong Ma, Rui Zhang, Yifan Peng, Mingquan Lin
2024AAAIVQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models.Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024AAAIDepression Detection via Capsule Networks with Contrastive Learning.Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024AAAILiberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024AAAITowards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction.Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2024ACLUnity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
2024CHIGenerative AI in the Wild: Prospects, Challenges, and Strategies.Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
2024COLINGCoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
2024EMNLPZero-Resource Hallucination Prevention for Large Language Models.Junyu Luo, Cao Xiao, Fenglong Ma
2024EMNLPBIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models.Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024EMNLPFEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models.Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024ICMLBridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning.Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024IJCAIRecent Advances in Predictive Modeling with Electronic Health Records.Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024KDDMitigating Pooling Bias in E-commerce Search via False Negative Estimation.Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
2024KDDSynthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024PAKDDRethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation.Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024PERCOMDeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches.Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza, Guohong Cao
2024SIGIRClinical Trial Retrieval via Multi-grained Similarity Learning.Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
2024SIGIRDisentangling ID and Modality Effects for Session-based Recommendation.Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
2024SIGIRFineRec: Exploring Fine-grained Sequential Recommendation.Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
2024SDMAutomated Fusion of Multimodal Electronic Health Records for Better Medical Predictions.Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024SDMMedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2023AAAISSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023AAAIBoosting Few-Shot Text Classification via Distribution Estimation.Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023CHIAutoML in The Wild: Obstacles, Workarounds, and Expectations.Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
2023CIKMBoosting Meta-Learning Cold-Start Recommendation with Graph Neural Network.Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
2023CIKMClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons.Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
2023CIKMpADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
2023EMNLPHierarchical Pretraining on Multimodal Electronic Health Records.Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
2023IJCAIBoosting Decision-Based Black-Box Adversarial Attack with Gradient Priors.Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023KDDPAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text.Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
2023SDMKnowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2022AAAITextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text.Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma
2022COLINGRealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips.Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma
2022COLINGBenchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation.Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
2022HPCCDual Memory Network for Medical Dialogue Generation.Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma, Jianqiang Li
2022HPCCMedical Dialogue Generation via Extracting Heterogenous Information.Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma, Jianqiang Li
2022ICDMMedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data.Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma
2022ICDMHeterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses.Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2022KDDLeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization.Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma
2022SIGIRPrice DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation.Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022WACVQUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog.Muchao Ye, Quanzeng You, Fenglong Ma
2022SDMTextbook Enhanced Student Learning Outcome Prediction.Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao
2022SECONWiLCA: Accelerating Contactless Authentication with Limited Data.Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong, Guowei Wu
2021AAAIi-Algebra: Towards Interactive Interpretability of Deep Neural Networks.Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
2021ACLFusion: Towards Automated ICD Coding via Feature Compression.Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
2021ACLWriting by Memorizing: Hierarchical Retrieval-based Medical Report Generation.Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma
2021AMIAIntegrating Multimodal Electronic Health Records for Diagnosis Prediction.Rui Li, Fenglong Ma, Jing Gao
2021CIKMMedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021EMNLPKnowledge-Guided Paraphrase Identification.Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2021IJCAISafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations.Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021KDDAdvances in Mining Heterogeneous Healthcare Data.Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
2021KDDMultimodal Emergent Fake News Detection via Meta Neural Process Networks.Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021WWWUNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data.Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
2021WWWMedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021SDMTowards Learning Outcome Prediction via Modeling Question Explanations and Student Responses.Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao
2020AAAIWeak Supervision for Fake News Detection via Reinforcement Learning.Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
2020CIKMEfficient Knowledge Graph Validation via Cross-Graph Representation Learning.Yaqing Wang, Fenglong Ma, Jing Gao
2020CIKMLSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction.Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma
2020ICDCSWiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi.Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang, Guowei Wu
2020ICDMLP-Explain: Local Pictorial Explanation for Outliers.Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao
2020KDDDETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020KDDHiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records.Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
2020KDDAttackability Characterization of Adversarial Evasion Attack on Discrete Data.Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
2020SPWaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing.Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu
2020WSDMLearning with Small Data.Zhenhui Li, Huaxiu Yao, Fenglong Ma
2020SDMRare Disease Prediction by Generating Quality-Assured Electronic Health Records.Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou
2019ACLMulti-grained Named Entity Recognition.Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019EDMDeep Hierarchical Knowledge Tracing.Tianqi Wang, Fenglong Ma, Jing Gao
2019IJCAIMetric Learning on Healthcare Data with Incomplete Modalities.Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
2019INFOCOMMinimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks.Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang, Guowei Wu
2019KDDOptimizing the Wisdom of the Crowd: Inference, Learning, and Teaching.Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He
2019MOBIHOCDeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data.Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su
2019WWWMCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation.Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan
2018CIKMKAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare.Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao
2018ICDMMulti-task Sparse Metric Learning for Monitoring Patient Similarity Progression.Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018ICDMeOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors.Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao
2018ICDMMuVAN: A Multi-view Attention Network for Multivariate Temporal Data.Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang
2018KDDRisk Prediction on Electronic Health Records with Prior Medical Knowledge.Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
2018KDDEANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
2018KDDTextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data.Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su
2018MOBICOMTowards Environment Independent Device Free Human Activity Recognition.Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su
2018SDMOnline Truth Discovery on Time Series Data.Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang
2018SECONWiAU: An Accurate Device-Free Authentication System with ResNet.Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu
2017AMIAA Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks.Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso
2017ICDMDiscovering Truths from Distributed Data.Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao
2017IJCAILong-Term Memory Networks for Question Answering.Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017KDDDipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks.Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017KDDUnsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources.Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang
2016CIKMInfluence-Aware Truth Discovery.Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su
2016ICDMTopic Discovery for Short Texts Using Word Embeddings.Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang
2016KDDTowards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach.Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
2016WSDMCrowdsourcing High Quality Labels with a Tight Budget.Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn
2015ICDMProbabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data.Fenglong Ma, Jing Gao
2015KDDFaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation.Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han
2014ICDMTopical Influential User Analysis with Relationship Strength Estimation in Twitter.Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang