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2020 – today
- 2024
[j17]Xiaokun Zhang
, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1450-1462 (2024)- [j16]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. 42(3): 68:1-68:28 (2024) - [c116]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI 2024: 6755-6763 - [c115]Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI 2024: 14651-14659 - [c114]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI 2024: 18644-18652 - [c113]Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Depression Detection via Capsule Networks with Contrastive Learning. AAAI 2024: 22231-22239 - [c112]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma:
Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) 2024: 3644-3656 - [c111]Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang:
Generative AI in the Wild: Prospects, Challenges, and Strategies. CHI 2024: 747:1-747:16 - [c110]Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma:
CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. LREC/COLING 2024: 3997-4007 - [c109]Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma:
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML 2024 - [c108]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. IJCAI 2024: 8272-8280 - [c107]Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma:
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD 2024: 4607-4618 - [c106]Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma:
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. KDD 2024: 5917-5925 - [c105]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) 2024: 155-167 - [c104]Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza, Guohong Cao:
DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches. PerCom 2024: 206-216 - [c103]Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma:
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. ECML/PKDD (9) 2024: 401-417 - [c102]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM 2024: 361-369 - [c101]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM 2024: 499-507 - [c100]Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma:
FineRec: Exploring Fine-grained Sequential Recommendation. SIGIR 2024: 1599-1608 - [c99]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR 2024: 1883-1892 - [c98]Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma:
Clinical Trial Retrieval via Multi-grained Similarity Learning. SIGIR 2024: 2950-2954 - [i54]Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai:
Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR abs/2401.01549 (2024) - [i53]Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma:
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR abs/2401.11252 (2024) - [i52]Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma:
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR abs/2401.15874 (2024) - [i51]Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma:
Recent Advances in Predictive Modeling with Electronic Health Records. CoRR abs/2402.01077 (2024) - [i50]Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR abs/2402.01806 (2024) - [i49]Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR abs/2402.11083 (2024) - [i48]Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma:
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR abs/2402.15700 (2024) - [i47]Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang:
Generative AI in the Wild: Prospects, Challenges, and Strategies. CoRR abs/2404.04101 (2024) - [i46]Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma:
Disentangling ID and Modality Effects for Session-based Recommendation. CoRR abs/2404.12969 (2024) - [i45]Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma:
FineRec: Exploring Fine-grained Sequential Recommendation. CoRR abs/2404.12975 (2024) - [i44]Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR abs/2405.03565 (2024) - [i43]Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen:
Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR abs/2406.00045 (2024) - [i42]Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang:
Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR abs/2406.09669 (2024) - [i41]Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma:
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. CoRR abs/2406.11048 (2024) - [i40]Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma:
Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR abs/2406.13942 (2024) - [i39]Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma:
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR abs/2407.03247 (2024) - [i38]Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma:
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR abs/2408.09227 (2024) - [i37]Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma:
FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR abs/2408.10276 (2024) - 2023
- [j15]Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma:
Predicting line of therapy transition via similar patient augmentation. J. Biomed. Informatics 147: 104511 (2023) - [j14]Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma:
Multimodal Federated Learning: A Survey. Sensors 23(15): 6986 (2023) - [j13]Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu:
Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2787-2795 (2023) - [j12]Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang:
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE J. Biomed. Health Informatics 27(7): 3645-3656 (2023) - [j11]Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui:
Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Trans. Comput. Hum. Interact. 30(4): 64:1-64:44 (2023) - [c97]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Few-Shot Text Classification via Distribution Estimation. AAAI 2023: 13219-13227 - [c96]Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI 2023: 13228-13235 - [c95]Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang:
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CHI 2023: 247:1-247:15 - [c94]Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang:
Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM 2023: 4105-4109 - [c93]Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma:
pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM 2023: 4724-4730 - [c92]Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma:
ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. CIKM 2023: 5356-5360 - [c91]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma:
Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP 2023: 2839-2852 - [c90]Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI 2023: 1195-1203 - [c89]Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma:
PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD 2023: 3093-3104 - [c88]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS 2023 - [c87]Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang:
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS 2023 - [c86]Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma:
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS 2023 - [c85]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang:
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS 2023 - [c84]Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma:
UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS 2023 - [c83]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM 2023: 496-504 - [c82]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang:
On the Security Risks of Knowledge Graph Reasoning. USENIX Security Symposium 2023: 3259-3276 - [i36]Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang:
AutoML in The Wild: Obstacles, Workarounds, and Expectations. CoRR abs/2302.10827 (2023) - [i35]Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma:
Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR abs/2303.02668 (2023) - [i34]Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Few-Shot Text Classification via Distribution Estimation. CoRR abs/2303.16764 (2023) - [i33]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang:
On the Security Risks of Knowledge Graph Reasoning. CoRR abs/2305.02383 (2023) - [i32]Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu:
Hate Speech Detection via Dual Contrastive Learning. CoRR abs/2307.05578 (2023) - [i31]Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma:
Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR abs/2308.08643 (2023) - [i30]Junyu Luo, Cao Xiao, Fenglong Ma:
Zero-Resource Hallucination Prevention for Large Language Models. CoRR abs/2309.02654 (2023) - [i29]Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang:
Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR abs/2309.13256 (2023) - [i28]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin:
Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR abs/2309.17037 (2023) - [i27]Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma:
MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR abs/2310.02520 (2023) - [i26]Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma:
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR abs/2310.04655 (2023) - [i25]Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma:
Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR abs/2310.07871 (2023) - [i24]Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang:
Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR abs/2310.19038 (2023) - [i23]Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin:
Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR abs/2311.01125 (2023) - [i22]Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma:
Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. CoRR abs/2311.06444 (2023) - 2022
- [j10]Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma:
Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. 59(3): 102936 (2022) - [c81]Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma:
TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. AAAI 2022: 3877-3884 - [c80]Guanjie Huang, Fenglong Ma:
TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification. BHI 2022: 1-4 - [c79]Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma:
AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM 2022: 948-953 - [c78]Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma:
AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. BIBM 2022: 1005-1012 - [c77]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM 2022: 1777-1780 - [c76]Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma:
RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING 2022: 3342-3352 - [c75]Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma:
Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING 2022: 3550-3562 - [c74]Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma, Jianqiang Li:
Dual Memory Network for Medical Dialogue Generation. HPCC/DSS/SmartCity/DependSys 2022: 110-117 - [c73]Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma, Jianqiang Li:
Medical Dialogue Generation via Extracting Heterogenous Information. HPCC/DSS/SmartCity/DependSys 2022: 194-201 - [c72]Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma:
MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM 2022: 81-90 - [c71]Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM 2022: 1203-1208 - [c70]Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma:
LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD 2022: 2307-2315 - [c69]Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma:
Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) 2022: 437-452 - [c68]Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao:
Textbook Enhanced Student Learning Outcome Prediction. SDM 2022: 352-360 - [c67]Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong, Guowei Wu:
WiLCA: Accelerating Contactless Authentication with Limited Data. SECON 2022: 316-324 - [c66]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR 2022: 1684-1693 - [c65]Muchao Ye, Quanzeng You, Fenglong Ma:
QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. WACV 2022: 2503-2511 - [i21]Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin:
Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR abs/2205.04181 (2022) - [i20]Sean A. Rendar, Fenglong Ma:
Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. CoRR abs/2207.00585 (2022) - [i19]Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang:
Reasoning over Multi-view Knowledge Graphs. CoRR abs/2209.13702 (2022) - [i18]Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang:
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. CoRR abs/2211.02789 (2022) - 2021
- [j9]Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li:
Towards graph-based class-imbalance learning for hospital readmission. Expert Syst. Appl. 176: 114791 (2021) - [c64]Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. AAAI 2021: 11691-11698 - [c63]Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma:
Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) 2021: 2096-2101 - [c62]Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma:
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. ACL/IJCNLP (1) 2021: 5000-5009 - [c61]Rui Li, Fenglong Ma, Jing Gao:
Integrating Multimodal Electronic Health Records for Diagnosis Prediction. AMIA 2021 - [c60]Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData 2021: 715-724 - [c59]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM 2021: 2414-2423 - [c58]Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) 2021: 843-853 - [c57]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI 2021: 3735-3741 - [c56]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716 - [c55]Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun:
Advances in Mining Heterogeneous Healthcare Data. KDD 2021: 4050-4051 - [c54]Guanjie Huang, Fenglong Ma:
ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection. ECML/PKDD (5) 2021: 68-84 - [c53]Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao:
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. SDM 2021: 693-701 - [c52]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW 2021: 217-226 - [c51]Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma:
MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW 2021: 1397-1409 - [i17]Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang:
i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. CoRR abs/2101.09301 (2021) - [i16]Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao:
Fairness-aware Outlier Ensemble. CoRR abs/2103.09419 (2021) - [i15]Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun:
SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR abs/2105.02711 (2021) - [i14]Guanjie Huang, Fenglong Ma:
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection. CoRR abs/2105.03037 (2021) - [i13]Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma:
Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. CoRR abs/2106.06471 (2021) - [i12]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR abs/2106.13711 (2021) - [i11]Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR abs/2109.04533 (2021) - [i10]Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma:
FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR abs/2109.05612 (2021) - [i9]Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma:
MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR abs/2112.06063 (2021) - 2020
- [j8]Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su:
DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 34:1-34:26 (2020) - [j7]Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li:
Joint imbalanced classification and feature selection for hospital readmissions. Knowl. Based Syst. 200: 106020 (2020) - [c50]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. AAAI 2020: 516-523 - [c49]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CIKM 2020: 1595-1604 - [c48]Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma:
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. CIKM 2020: 1753-1762 - [c47]Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang, Guowei Wu:
WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi. ICDCS 2020: 700-709 - [c46]Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao:
LP-Explain: Local Pictorial Explanation for Outliers. ICDM 2020: 372-381 - [c45]Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee:
DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. KDD 2020: 492-502 - [c44]Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma:
HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD 2020: 647-656 - [c43]Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang:
Attackability Characterization of Adversarial Evasion Attack on Discrete Data. KDD 2020: 1415-1425 - [c42]Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou:
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM 2020: 514-522 - [c41]Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu:
WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing. SP 2020: 217-232 - [c40]Zhenhui Li, Huaxiu Yao, Fenglong Ma:
Learning with Small Data. WSDM 2020: 884-887 - [i8]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CoRR abs/2008.06995 (2020) - [i7]Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao:
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR abs/2010.11389 (2020) - [i6]Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma:
A Benchmark Dataset for Understandable Medical Language Translation. CoRR abs/2012.02420 (2020) - [i5]Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma:
FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR abs/2012.03292 (2020)
2010 – 2019
- 2019
- [b1]Fenglong Ma:
Deep Predictive Models for Mining Electronic Health Records. University at Buffalo, New York, USA, 2019 - [j6]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang:
A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. 20-S(16): 586:1-586:10 (2019) - [j5]Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su:
A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 160:1-160:26 (2019) - [j4]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. 19-S(6): 267 (2019) - [j3]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31(3): 575-588 (2019) - [c39]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-grained Named Entity Recognition. ACL (1) 2019: 1430-1440 - [c38]Fenglong Ma, Shiran Zhong, Jing Gao, Ling Bian:
Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors. BCB 2019: 233-242 - [c37]Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao:
Online Federated Multitask Learning. IEEE BigData 2019: 215-220 - [c36]Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. IEEE BigData 2019: 677-682 - [c35]Tianqi Wang, Fenglong Ma, Jing Gao:
Deep Hierarchical Knowledge Tracing. EDM 2019 - [c34]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI 2019: 3534-3540 - [c33]Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang, Guowei Wu:
Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks. INFOCOM 2019: 1819-1827 - [c32]Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He:
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. KDD 2019: 3231-3232 - [c31]Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su:
DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. MobiHoc 2019: 151-160 - [c30]Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan:
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW 2019: 3041-3048 - [i4]Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu:
Multi-Grained Named Entity Recognition. CoRR abs/1906.08449 (2019) - [i3]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. CoRR abs/1912.12520 (2019) - 2018
- [c29]Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su:
Leveraging the Power of Informative Users for Local Event Detection. ASONAM 2018: 429-436 - [c28]Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang:
A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI 2018: 206-209 - [c27]Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang:
Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM 2018: 963-968 - [c26]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM 2018: 1070-1075 - [c25]Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao:
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM 2018: 743-752 - [c24]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang:
Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM 2018: 477-486 - [c23]Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang:
MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM 2018: 717-726 - [c22]Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao:
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. ICDM 2018: 1326-1331 - [c21]Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao:
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018: 849-857 - [c20]Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD 2018: 1910-1919 - [c19]Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su:
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. KDD 2018: 2729-2737 - [c18]Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su:
Towards Environment Independent Device Free Human Activity Recognition. MobiCom 2018: 289-304 - [c17]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [c16]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri:
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD 2018 - [c15]Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu:
WiAU: An Accurate Device-Free Authentication System with ResNet. SECON 2018: 109-117 - 2017
- [j2]Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang:
Discovering social spammers from multiple views. Neurocomputing 225: 49-57 (2017) - [c14]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso:
A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA 2017 - [c13]Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao:
Personalized disease prediction using a CNN-based similarity learning method. BIBM 2017: 811-816 - [c12]Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao:
Discovering Truths from Distributed Data. ICDM 2017: 505-514 - [c11]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. SML@IJCAI 2017: 7-14 - [c10]Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang:
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. KDD 2017: 967-976 - [c9]Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao:
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. KDD 2017: 1903-1911 - [i2]Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao:
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1706.05764 (2017) - [i1]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. CoRR abs/1707.01961 (2017) - 2016
- [c8]Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. CIKM 2016: 851-860 - [c7]Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. ICDM 2016: 1299-1304 - [c6]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD 2016: 1935-1944 - [c5]Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn:
Crowdsourcing High Quality Labels with a Tight Budget. WSDM 2016: 237-246 - 2015
- [c4]Fenglong Ma, Jing Gao:
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. ICDM Workshops 2015: 1556-1557 - [c3]Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD 2015: 745-754 - 2014
- [c2]Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang:
Topical Influential User Analysis with Relationship Strength Estimation in Twitter. ICDM Workshops 2014: 1012-1019 - 2011
- [j1]Xinyue Liu, Fenglong Ma, Hongfei Lin:
Topic Detection with Hypergraph Partition Algorithm. J. Softw. 6(12): 2407-2415 (2011) - 2010
- [c1]Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen:
Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection. PAAP 2010: 269-276
Coauthor Index
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