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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) - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang:
Generative AI in the Wild: Prospects, Challenges, and Strategies. CHI 2024: 747:1-747:16 - [c109]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 - [c108]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 - [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]