Fenglong Ma - RankMe

236 papers A* 73A 19B 7Misc 2Journal 91Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Enhancing Medical Large Vision-Language Models via Alignment Distillation. AAAI Aofei Chang, Ting Wang, Fenglong Ma
2026	A*	`conf`	GPR: Empowering Generation with Graph-Pretrained Retriever. WWW Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026	A*	`conf`	Hierarchical Graph-Bag-Network for Self-Supervised Multi-Graph Learning. WWW Meixia Wang, Yuhai Zhao, Zhengkui Wang, Fenglong Ma, Yejiang Wang, Miaomiao Huang, Fazal Wahab, Wen Shan, Xingwei Wang
2026	A*	`conf`	Multi-graph Fusion Cross-model Contrastive Learning for Recommendation. AAAI Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang, Wen Shan
2026	J	`jnl`	Rethinking contrastive learning in session-based recommendation. Pattern Recognit. Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin
2026	A*	`conf`	SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack. WWW Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2026	A*	`conf`	Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification. AAAI Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang
2025	J	`jnl`	A Novel Approach for Perceptions of Physician Decision-Making and Latent Topic Refinement in Large Language Model-Enhanced Medical Dialog Generation. IEEE Trans. Neural Networks Learn. Syst. Jinli Zhang, Junzhe Jiang, Fenglong Ma, Zongli Jiang, Qi Tan, Yongcheng Zhou
2025	J	`jnl`	A Survey on Side Information-Driven Session-Based Recommendation: From a Data-Centric Perspective. IEEE Trans. Knowl. Data Eng. Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025	J	`jnl`	A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective. CoRR Xiaokun Zhang, Bo Xu, Chenliang Li, Bowei He, Hongfei Lin, Chen Ma, Fenglong Ma
2025	—	`conf`	AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. ACL (1) Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu
2025	—	`conf`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. KDD (1) Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2025	J	`jnl`	AutoRAN: Weak-to-Strong Jailbreaking of Large Reasoning Models. CoRR Jiacheng Liang, Tanqiu Jiang, Yuhui Wang, Rongyi Zhu, Fenglong Ma, Ting Wang
2025	—	`conf`	Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. KDD (1) Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025	J	`jnl`	Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention. CoRR Wen Xiong, Jinduo Liu, Junzhong Ji, Fenglong Ma
2025	—	`conf`	DyESP: Accelerating Hyperparameter-Architecture Search via Dynamic Exploration and Space Pruning. AAAI Spring Symposia Xukun Liu, Haoze Lv, Fenglong Ma, Chi Wang, Dongkuan Xu
2025	A*	`conf`	Enhancing Foundation Models with Federated Domain Knowledge Infusion. ICML Jiaqi Wang, Jingtao Li, Weiming Zhuang, Chen Chen, Lingjuan Lyu, Fenglong Ma
2025	J	`jnl`	Enhancing Medical Large Vision-Language Models via Alignment Distillation. CoRR Aofei Chang, Ting Wang, Fenglong Ma
2025	—	`conf`	Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. ACL (1) Aofei Chang, Le Huang, Alex James Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025	J	`jnl`	Focus on What Matters: Enhancing Medical Vision-Language Models with Automatic Attention Alignment Tuning. CoRR Aofei Chang, Le Huang, Alex J. Boyd, Parminder Bhatia, Taha A. Kass-Hout, Cao Xiao, Fenglong Ma
2025	J	`jnl`	GPR: Empowering Generation with Graph-Pretrained Retriever. CoRR Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2025	J	`jnl`	MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph. CoRR Xiaochen Wang, Yuan Zhong, Lingwei Zhang, Lisong Dai, Ting Wang, Fenglong Ma
2025	J	`jnl`	MeCaMIL: Causality-Aware Multiple Instance Learning for Fair and Interpretable Whole Slide Image Diagnosis. CoRR Yiran Song, Yikai Zhang, Shuang Zhou, Guojun Xiong, Xiaofeng Yang, Nian Wang, Fenglong Ma, Rui Zhang, Mingquan Lin
2025	—	`conf`	MedDiTPro: A Prompt-Guided Diffusion Transformer for Multimodal Longitudinal Medical Data Synthesis. KDD (2) Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Fenglong Ma
2025	J	`jnl`	MedHEval: Benchmarking Hallucinations and Mitigation Strategies in Medical Large Vision-Language Models. CoRR Aofei Chang, Le Huang, Parminder Bhatia, Taha A. Kass-Hout, Fenglong Ma, Cao Xiao
2025	A*	`conf`	Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. AAAI Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	A*	`conf`	RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. ICLR Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang
2025	J	`jnl`	RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models. CoRR Tanqiu Jiang, Changjiang Li, Fenglong Ma, Ting Wang
2025	J	`jnl`	Rethinking Contrastive Learning in Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Fenglong Ma, Zhizheng Wang, Liang Yang, Hongfei Lin
2025	J	`jnl`	Robustifying Vision-Language Models via Dynamic Token Reweighting. CoRR Tanqiu Jiang, Jiacheng Liang, Rongyi Zhu, Jiawei Zhou, Fenglong Ma, Ting Wang
2025	—	`conf`	SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. KDD (1) Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025	—	`conf`	Shadow-Activated Backdoor Attacks on Multimodal Large Language Models. ACL (Findings) Ziyi Yin, Muchao Ye, Yuanpu Cao, Jiaqi Wang, Aofei Chang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2025	J	`jnl`	Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning. CoRR Yujia Wang, Fenglong Ma, Jinghui Chen
2025	—	`conf`	Toward Generalizable, General-Purpose, and Multimodal Knowledge Editing for Foundation Models. ICDM (Workshops) Haoyu Wang, Tianci Liu, Fenglong Ma, Jing Gao
2025	—	`conf`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. KDD (2) Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025	J	`jnl`	Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift. CoRR Tianrun Yu, Jiaqi Wang, Haoyu Wang, Mingquan Lin, Han Liu, Nelson S. Yee, Fenglong Ma
2025	—	`conf`	Two-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis. LMID@MICCAI Yiran Song, Yikai Zhang, Silvia Orengo-Nania, Nian Wang, Fenglong Ma, Rui Zhang, Yifan Peng, Mingquan Lin
2025	J	`jnl`	Two-Stage Decoupling Framework for Variable-Length Glaucoma Prognosis. CoRR Yiran Song, Yikai Zhang, Silvia Orengo-Nania, Nian Wang, Fenglong Ma, Rui Zhang, Yifan Peng, Mingquan Lin
2025	A*	`conf`	Watch the Watchers! On the Security Risks of Robustness-Enhancing Diffusion Models. USENIX Security Symposium Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
2024	—	`conf`	Asymmetric Mutual Learning for Decentralized Federated Medical Imaging. BCB Jiaqi Wang, Houping Xiao, Fenglong Ma
2024	J	`jnl`	Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical Diagnosis. CoRR Jiaqi Wang, Ziyi Yin, Quanzeng You, Lingjuan Lyu, Fenglong Ma
2024	A	`conf`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. SDM Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	J	`jnl`	Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions. CoRR Suhan Cui, Jiaqi Wang, Yuan Zhong, Han Liu, Ting Wang, Fenglong Ma
2024	—	`conf`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. EMNLP (Findings) Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	J	`jnl`	BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models. CoRR Aofei Chang, Jiaqi Wang, Han Liu, Parminder Bhatia, Cao Xiao, Ting Wang, Fenglong Ma
2024	J	`jnl`	Beyond Co-Occurrence: Multi-Modal Session-Based Recommendation. IEEE Trans. Knowl. Data Eng. Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
2024	J	`jnl`	Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. ACM Trans. Inf. Syst. Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
2024	A*	`conf`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. ICML Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	J	`jnl`	Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning. CoRR Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu, Quanzeng You, Mengdi Huai, Fenglong Ma
2024	A*	`conf`	Clinical Trial Retrieval via Multi-grained Similarity Learning. SIGIR Junyu Luo, Cheng Qian, Lucas Glass, Fenglong Ma
2024	J	`jnl`	CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning. CoRR Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
2024	—	`conf`	CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning. LREC/COLING Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma
2024	A*	`conf`	DeepApnea: Deep Learning Based Sleep Apnea Detection Using Smartwatches. PerCom Zida Liu, Xianda Chen, Fenglong Ma, Julio Fernandez-Mendoza, Guohong Cao
2024	A*	`conf`	Depression Detection via Capsule Networks with Contrastive Learning. AAAI Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	A*	`conf`	Disentangling ID and Modality Effects for Session-based Recommendation. SIGIR Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
2024	J	`jnl`	Disentangling ID and Modality Effects for Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma
2024	A*	`conf`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. EMNLP Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models. CoRR Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. NeurIPS Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	J	`jnl`	FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection. CoRR Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma
2024	A*	`conf`	FineRec: Exploring Fine-grained Sequential Recommendation. SIGIR Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
2024	J	`jnl`	FineRec: Exploring Fine-grained Sequential Recommendation. CoRR Xiaokun Zhang, Bo Xu, Youlin Wu, Yuan Zhong, Hongfei Lin, Fenglong Ma
2024	A*	`conf`	Generative AI in the Wild: Prospects, Challenges, and Strategies. CHI Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
2024	J	`jnl`	Generative AI in the Wild: Prospects, Challenges, and Strategies. CoRR Yuan Sun, Eunchae Jang, Fenglong Ma, Ting Wang
2024	J	`jnl`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. CoRR Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	—	`conf`	Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. ECML/PKDD (9) Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma
2024	J	`jnl`	Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality. CoRR Liwei Che, Jiaqi Wang, Xinyue Liu, Fenglong Ma
2024	A*	`conf`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. AAAI Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	J	`jnl`	Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. CoRR Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024	A	`conf`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. SDM Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2024	A*	`conf`	Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. KDD Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
2024	A*	`conf`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. NeurIPS Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	J	`jnl`	Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization. CoRR Yuanpu Cao, Tianrong Zhang, Bochuan Cao, Ziyi Yin, Lu Lin, Fenglong Ma, Jinghui Chen
2024	A*	`conf`	Recent Advances in Predictive Modeling with Electronic Health Records. IJCAI Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024	J	`jnl`	Recent Advances in Predictive Modeling with Electronic Health Records. CoRR Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma
2024	—	`conf`	Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation. PAKDD (3) Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	J	`jnl`	Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation. CoRR Jiaqi Wang, Yuzhong Chen, Yuhang Wu, Mahashweta Das, Hao Yang, Fenglong Ma
2024	A*	`conf`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. KDD Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	J	`jnl`	Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models. CoRR Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma
2024	A*	`conf`	Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction. AAAI Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2024	J	`jnl`	Towards Modeling Uncertainties of Self-explaining Neural Networks via Conformal Prediction. CoRR Wei Qian, Chenxu Zhao, Yangyi Li, Fenglong Ma, Chao Zhang, Mengdi Huai
2024	—	`conf`	Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources. ACL (1) Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma
2024	A*	`conf`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. AAAI Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Jiaqi Wang, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2024	J	`jnl`	Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models. CoRR Changjiang Li, Ren Pang, Bochuan Cao, Jinghui Chen, Fenglong Ma, Shouling Ji, Ting Wang
2024	—	`conf`	Zero-Resource Hallucination Prevention for Large Language Models. EMNLP (Findings) Junyu Luo, Cao Xiao, Fenglong Ma
2024	A*	`conf`	pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning. NeurIPS Jiaqi Wang, Qi Li, Lingjuan Lyu, Fenglong Ma
2023	A*	`conf`	AutoML in The Wild: Obstacles, Workarounds, and Expectations. CHI Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
2023	J	`jnl`	AutoML in The Wild: Obstacles, Workarounds, and Expectations. CoRR Yuan Sun, Qiurong Song, Xinning Gui, Fenglong Ma, Ting Wang
2023	J	`jnl`	Beyond Co-occurrence: Multi-modal Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, Hongfei Lin
2023	J	`jnl`	Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond. ACM Trans. Comput. Hum. Interact. Yue You, Chun-Hua Tsai, Yao Li, Fenglong Ma, Christopher Heron, Xinning Gui
2023	J	`jnl`	Bi-Preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Yuan Lin, Hongfei Lin
2023	A*	`conf`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. IJCAI Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors. CoRR Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Boosting Few-Shot Text Classification via Distribution Estimation. AAAI Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Boosting Few-Shot Text Classification via Distribution Estimation. CoRR Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A	`conf`	Boosting Meta-Learning Cold-Start Recommendation with Graph Neural Network. CIKM Han Liu, Hongxiang Lin, Xiaotong Zhang, Fenglong Ma, Hongyang Chen, Lei Wang, Hong Yu, Xianchao Zhang
2023	A	`conf`	ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons. CIKM Junyu Luo, Zhi Qiao, Lucas Glass, Cao Xiao, Fenglong Ma
2023	A*	`conf`	Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. NeurIPS Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
2023	J	`jnl`	Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks. CoRR Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Jinghui Chen, Fenglong Ma, Ting Wang
2023	J	`jnl`	Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. IEEE J. Biomed. Health Informatics Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
2023	A*	`conf`	HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. NeurIPS Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	J	`jnl`	Hate Speech Detection via Dual Contrastive Learning. CoRR Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
2023	J	`jnl`	Hate Speech Detection via Dual Contrastive Learning. IEEE ACM Trans. Audio Speech Lang. Process. Junyu Lu, Hongfei Lin, Xiaokun Zhang, Zhaoqing Li, Tongyue Zhang, Linlin Zong, Fenglong Ma, Bo Xu
2023	A*	`conf`	Hierarchical Pretraining on Multimodal Electronic Health Records. EMNLP Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
2023	J	`jnl`	Hierarchical Pretraining on Multimodal Electronic Health Records. CoRR Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma
2023	A	`conf`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. SDM Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT. CoRR Jiaqi Wang, Shenglai Zeng, Zewei Long, Yaqing Wang, Houping Xiao, Fenglong Ma
2023	J	`jnl`	MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation. CoRR Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma
2023	J	`jnl`	Mitigating Pooling Bias in E-commerce Search via False Negative Estimation. CoRR Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma
2023	J	`jnl`	Multimodal Federated Learning: A Survey. Sensors Liwei Che, Jiaqi Wang, Yao Zhou, Fenglong Ma
2023	A*	`conf`	On the Security Risks of Knowledge Graph Reasoning. USENIX Security Symposium Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
2023	J	`jnl`	On the Security Risks of Knowledge Graph Reasoning. CoRR Zhaohan Xi, Tianyu Du, Changjiang Li, Ren Pang, Shouling Ji, Xiapu Luo, Xusheng Xiao, Fenglong Ma, Ting Wang
2023	A*	`conf`	PAT: Geometry-Aware Hard-Label Black-Box Adversarial Attacks on Text. KDD Muchao Ye, Jinghui Chen, Chenglin Miao, Han Liu, Ting Wang, Fenglong Ma
2023	J	`jnl`	Predicting line of therapy transition via similar patient augmentation. J. Biomed. Informatics Suhan Cui, Guanhao Wei, Li Zhou, Emily Zhao, Ting Wang, Fenglong Ma
2023	A*	`conf`	SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. AAAI Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023	A*	`conf`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. NeurIPS Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2023	J	`jnl`	Towards Personalized Federated Learning via Heterogeneous Model Reassembly. CoRR Jiaqi Wang, Xingyi Yang, Suhan Cui, Liwei Che, Lingjuan Lyu, Dongkuan Xu, Fenglong Ma
2023	A*	`conf`	UniT: A Unified Look at Certified Robust Training against Text Adversarial Perturbation. NeurIPS Muchao Ye, Ziyi Yin, Tianrong Zhang, Tianyu Du, Jinghui Chen, Ting Wang, Fenglong Ma
2023	A*	`conf`	VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. NeurIPS Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2023	J	`jnl`	VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. CoRR Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
2023	J	`jnl`	Zero-Resource Hallucination Prevention for Large Language Models. CoRR Junyu Luo, Cao Xiao, Fenglong Ma
2023	A	`conf`	pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data. CIKM Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma
2022	—	`conf`	AUTOMED: Automated Medical Risk Predictive Modeling on Electronic Health Records. BIBM Suhan Cui, Jiaqi Wang, Xinning Gui, Ting Wang, Fenglong Ma
2022	—	`conf`	AccSleepNet: An Axis-Aware Hybrid Deep Fusion Model for Sleep Stage Classification Using Wrist-Worn Accelerometer Data. BIBM Guanjie Huang, Ye Yuan, Guohong Cao, Fenglong Ma
2022	B	`conf`	Benchmarking Automated Clinical Language Simplification: Dataset, Algorithm, and Evaluation. COLING Junyu Luo, Junxian Lin, Chi Lin, Cao Xiao, Xinning Gui, Fenglong Ma
2022	—	`conf`	Dual Memory Network for Medical Dialogue Generation. HPCC/DSS/SmartCity/DependSys Zongli Jiang, Jia Xu, Jinli Zhang, Fenglong Ma, Jianqiang Li
2022	J	`jnl`	Dynamic intent-aware iterative denoising network for session-based recommendation. Inf. Process. Manag. Xiaokun Zhang, Hongfei Lin, Bo Xu, Chenliang Li, Yuan Lin, Haifeng Liu, Fenglong Ma
2022	J	`jnl`	Forecasting User Interests Through Topic Tag Predictions in Online Health Communities. CoRR Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar, Peixuan Zhang, Vasant G. Honavar, Fenglong Ma, Chandra Belani, Prasenjit Mitra, Sharon Xiaolei Huang
2022	A*	`conf`	Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2022	A*	`conf`	LeapAttack: Hard-Label Adversarial Attack on Text via Gradient-Based Optimization. KDD Muchao Ye, Jinghui Chen, Chenglin Miao, Ting Wang, Fenglong Ma
2022	—	`conf`	MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. BIBM Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Houping Xiao, Ting Wang, Fenglong Ma
2022	A*	`conf`	MedSkim: Denoised Health Risk Prediction via Skimming Medical Claims Data. ICDM Suhan Cui, Junyu Luo, Muchao Ye, Jiaqi Wang, Ting Wang, Fenglong Ma
2022	—	`conf`	Medical Dialogue Generation via Extracting Heterogenous Information. HPCC/DSS/SmartCity/DependSys Bocheng Zhao, Zongli Jiang, Jinli Zhang, Fenglong Ma, Jianqiang Li
2022	J	`jnl`	Predicting Ulnar Collateral Ligament Injury in Rookie Major League Baseball Pitchers. CoRR Sean A. Rendar, Fenglong Ma
2022	J	`jnl`	Price DOES Matter! Modeling Price and Interest Preferences in Session-based Recommendation. CoRR Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022	A*	`conf`	Price DOES Matter!: Modeling Price and Interest Preferences in Session-based Recommendation. SIGIR Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, Hongfei Lin
2022	A	`conf`	QUALIFIER: Question-Guided Self-Attentive Multimodal Fusion Network for Audio Visual Scene-Aware Dialog. WACV Muchao Ye, Quanzeng You, Fenglong Ma
2022	B	`conf`	RealMedDial: A Real Telemedical Dialogue Dataset Collected from Online Chinese Short-Video Clips. COLING Bo Xu, Hongtong Zhang, Jian Wang, Xiaokun Zhang, Dezhi Hao, Linlin Zong, Hongfei Lin, Fenglong Ma
2022	J	`jnl`	Reasoning over Multi-view Knowledge Graphs. CoRR Zhaohan Xi, Ren Pang, Changjiang Li, Tianyu Du, Shouling Ji, Fenglong Ma, Ting Wang
2022	A*	`conf`	TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text. AAAI Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma
2022	A	`conf`	Textbook Enhanced Student Learning Outcome Prediction. SDM Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao
2022	—	`conf`	Towards Federated COVID-19 Vaccine Side Effect Prediction. ECML/PKDD (6) Jiaqi Wang, Cheng Qian, Suhan Cui, Lucas Glass, Fenglong Ma
2022	—	`conf`	TrustSleepNet: A Trustable Deep Multimodal Network for Sleep Stage Classification. BHI Guanjie Huang, Fenglong Ma
2022	B	`conf`	WiLCA: Accelerating Contactless Authentication with Limited Data. SECON Chi Lin, Chuanying Ji, Fenglong Ma, Lei Wang, Wei Zhong, Guowei Wu
2021	A*	`conf`	Advances in Mining Heterogeneous Healthcare Data. KDD Fenglong Ma, Muchao Ye, Junyu Luo, Cao Xiao, Jimeng Sun
2021	—	`conf`	ConCAD: Contrastive Learning-Based Cross Attention for Sleep Apnea Detection. ECML/PKDD (5) Guanjie Huang, Fenglong Ma
2021	J	`jnl`	ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection. CoRR Guanjie Huang, Fenglong Ma
2021	J	`jnl`	Fairness-aware Outlier Ensemble. CoRR Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao
2021	J	`jnl`	FedCon: A Contrastive Framework for Federated Semi-Supervised Learning. CoRR Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2021	—	`conf`	FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. IEEE BigData Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2021	J	`jnl`	FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning. CoRR Liwei Che, Zewei Long, Jiaqi Wang, Yaqing Wang, Houping Xiao, Fenglong Ma
2021	—	`conf`	Fusion: Towards Automated ICD Coding via Feature Compression. ACL/IJCNLP (Findings) Junyu Luo, Cao Xiao, Lucas Glass, Jimeng Sun, Fenglong Ma
2021	Misc	`conf`	Integrating Multimodal Electronic Health Records for Diagnosis Prediction. AMIA Rui Li, Fenglong Ma, Jing Gao
2021	—	`conf`	Knowledge-Guided Paraphrase Identification. EMNLP (Findings) Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao
2021	J	`jnl`	MedAttacker: Exploring Black-Box Adversarial Attacks on Risk Prediction Models in Healthcare. CoRR Muchao Ye, Junyu Luo, Guanjie Zheng, Cao Xiao, Ting Wang, Fenglong Ma
2021	A*	`conf`	MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths. WWW Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021	A	`conf`	MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text. CIKM Muchao Ye, Suhan Cui, Yaqing Wang, Junyu Luo, Cao Xiao, Fenglong Ma
2021	A*	`conf`	Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021	J	`jnl`	Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao
2021	A*	`conf`	SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations. IJCAI Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021	J	`jnl`	SafeDrug: Dual Molecular Graph Encoders for Safe Drug Recommendations. CoRR Chaoqi Yang, Cao Xiao, Fenglong Ma, Lucas Glass, Jimeng Sun
2021	A	`conf`	Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. SDM Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao
2021	J	`jnl`	Towards graph-based class-imbalance learning for hospital readmission. Expert Syst. Appl. Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li
2021	A*	`conf`	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. WWW Chacha Chen, Junjie Liang, Fenglong Ma, Lucas Glass, Jimeng Sun, Cao Xiao
2021	—	`conf`	Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. ACL/IJCNLP (1) Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma
2021	J	`jnl`	Writing by Memorizing: Hierarchical Retrieval-based Medical Report Generation. CoRR Xingyi Yang, Muchao Ye, Quanzeng You, Fenglong Ma
2021	A*	`conf`	i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. AAAI Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
2021	J	`jnl`	i-Algebra: Towards Interactive Interpretability of Deep Neural Networks. CoRR Xinyang Zhang, Ren Pang, Shouling Ji, Fenglong Ma, Ting Wang
2020	J	`jnl`	A Benchmark Dataset for Understandable Medical Language Translation. CoRR Junyu Luo, Zifei Zheng, Hanzhong Ye, Muchao Ye, Yaqing Wang, Quanzeng You, Cao Xiao, Fenglong Ma
2020	A*	`conf`	Attackability Characterization of Adversarial Evasion Attack on Discrete Data. KDD Yutong Wang, Yufei Han, Hongyan Bao, Yun Shen, Fenglong Ma, Jin Li, Xiangliang Zhang
2020	A*	`conf`	DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. KDD Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020	J	`jnl`	DeepMV: Multi-View Deep Learning for Device-Free Human Activity Recognition. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Hongfei Xue, Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shiyang Wang, Ye Yuan, Shuochao Yao, Aidong Zhang, Lu Su
2020	A	`conf`	Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CIKM Yaqing Wang, Fenglong Ma, Jing Gao
2020	J	`jnl`	Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CoRR Yaqing Wang, Fenglong Ma, Jing Gao
2020	J	`jnl`	FedSemi: An Adaptive Federated Semi-Supervised Learning Framework. CoRR Zewei Long, Liwei Che, Yaqing Wang, Muchao Ye, Junyu Luo, Jinze Wu, Houping Xiao, Fenglong Ma
2020	A*	`conf`	HiTANet: Hierarchical Time-Aware Attention Networks for Risk Prediction on Electronic Health Records. KDD Junyu Luo, Muchao Ye, Cao Xiao, Fenglong Ma
2020	J	`jnl`	Joint imbalanced classification and feature selection for hospital readmissions. Knowl. Based Syst. Guodong Du, Jia Zhang, Zhiming Luo, Fenglong Ma, Lei Ma, Shaozi Li
2020	A*	`conf`	LP-Explain: Local Pictorial Explanation for Outliers. ICDM Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao
2020	A	`conf`	LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction. CIKM Muchao Ye, Junyu Luo, Cao Xiao, Fenglong Ma
2020	A	`conf`	Learning with Small Data. WSDM Zhenhui Li, Huaxiu Yao, Fenglong Ma
2020	A	`conf`	Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou
2020	J	`jnl`	UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data. CoRR Chacha Chen, Junjie Liang, Fenglong Ma, Lucas M. Glass, Jimeng Sun, Cao Xiao
2020	A*	`conf`	WaveSpy: Remote and Through-wall Screen Attack via mmWave Sensing. SP Zhengxiong Li, Fenglong Ma, Aditya Singh Rathore, Zhuolin Yang, Baicheng Chen, Lu Su, Wenyao Xu
2020	A*	`conf`	Weak Supervision for Fake News Detection via Reinforcement Learning. AAAI Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
2020	A	`conf`	WiWrite: An Accurate Device-Free Handwriting Recognition System with COTS WiFi. ICDCS Chi Lin, Tingting Xu, Jie Xiong, Fenglong Ma, Lei Wang, Guowei Wu
2019	J	`jnl`	A Reliability-Aware Vehicular Crowdsensing System for Pothole Profiling. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Weida Zhong, Qiuling Suo, Fenglong Ma, Yunfei Hou, Abhishek Gupta, Chunming Qiao, Lu Su
2019	J	`jnl`	A hybrid self-attention deep learning framework for multivariate sleep stage classification. BMC Bioinform. Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
2019	B	`conf`	Deep Hierarchical Knowledge Tracing. EDM Tianqi Wang, Fenglong Ma, Jing Gao
2019	—	`—`	Deep Predictive Models for Mining Electronic Health Records. Fenglong Ma
2019	B	`conf`	DeepFusion: A Deep Learning Framework for the Fusion of Heterogeneous Sensory Data. MobiHoc Hongfei Xue, Wenjun Jiang, Chenglin Miao, Ye Yuan, Fenglong Ma, Xin Ma, Yijiang Wang, Shuochao Yao, Wenyao Xu, Aidong Zhang, Lu Su
2019	—	`conf`	IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. IEEE BigData Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao
2019	J	`jnl`	Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2019	—	`conf`	Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors. BCB Fenglong Ma, Shiran Zhong, Jing Gao, Ling Bian
2019	A*	`conf`	MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan
2019	A*	`conf`	Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang
2019	A*	`conf`	Minimizing Charging Delay for Directional Charging in Wireless Rechargeable Sensor Networks. INFOCOM Chi Lin, Yanhong Zhou, Fenglong Ma, Jing Deng, Lei Wang, Guowei Wu
2019	J	`jnl`	Multi-Grained Named Entity Recognition. CoRR Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	—	`conf`	Multi-grained Named Entity Recognition. ACL (1) Congying Xia, Chenwei Zhang, Tao Yang, Yaliang Li, Nan Du, Xian Wu, Wei Fan, Fenglong Ma, Philip S. Yu
2019	—	`conf`	Online Federated Multitask Learning. IEEE BigData Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao
2019	A*	`conf`	Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. KDD Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He
2019	J	`jnl`	Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
2019	J	`jnl`	Weak Supervision for Fake News Detection via Reinforcement Learning. CoRR Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao
2018	—	`conf`	A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao
2018	—	`conf`	A novel channel-aware attention framework for multi-channel EEG seizure detection via multi-view deep learning. BHI Ye Yuan, Guangxu Xun, Fenglong Ma, Qiuling Suo, Hongfei Xue, Kebin Jia, Aidong Zhang
2018	—	`conf`	An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri
2018	A*	`conf`	EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao
2018	A	`conf`	KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao
2018	B	`conf`	Leveraging the Power of Informative Users for Local Event Detection. ASONAM Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su
2018	A*	`conf`	MuVAN: A Multi-view Attention Network for Multivariate Temporal Data. ICDM Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, Aidong Zhang
2018	A*	`conf`	Multi-task Sparse Metric Learning for Monitoring Patient Similarity Progression. ICDM Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, Aidong Zhang
2018	—	`conf`	Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks. BIBM Ye Yuan, Kebin Jia, Fenglong Ma, Guangxu Xun, Yaqing Wang, Lu Su, Aidong Zhang
2018	A	`conf`	Online Truth Discovery on Time Series Data. SDM Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang
2018	A*	`conf`	Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang
2018	A*	`conf`	TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. KDD Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su
2018	A*	`conf`	Towards Environment Independent Device Free Human Activity Recognition. MobiCom Wenjun Jiang, Chenglin Miao, Fenglong Ma, Shuochao Yao, Yaqing Wang, Ye Yuan, Hongfei Xue, Chen Song, Xin Ma, Dimitrios Koutsonikolas, Wenyao Xu, Lu Su
2018	B	`conf`	WiAU: An Accurate Device-Free Authentication System with ResNet. SECON Chi Lin, Jiaye Hu, Yu Sun, Fenglong Ma, Lei Wang, Guowei Wu
2018	A*	`conf`	eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. ICDM Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao
2017	Misc	`conf`	A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso
2017	A*	`conf`	Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. KDD Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017	J	`jnl`	Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. CoRR Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao
2017	A*	`conf`	Discovering Truths from Distributed Data. ICDM Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao
2017	J	`jnl`	Discovering social spammers from multiple views. Neurocomputing Hua Shen, Fenglong Ma, Xianchao Zhang, Linlin Zong, Xinyue Liu, Wenxin Liang
2017	—	`conf`	Long-Term Memory Networks for Question Answering. SML@IJCAI Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017	J	`jnl`	Long-Term Memory Networks for Question Answering. CoRR Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao
2017	—	`conf`	Personalized disease prediction using a CNN-based similarity learning method. BIBM Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao
2017	A*	`conf`	Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. KDD Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang
2016	A	`conf`	Crowdsourcing High Quality Labels with a Tight Budget. WSDM Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn
2016	A	`conf`	Influence-Aware Truth Discovery. CIKM Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su
2016	A*	`conf`	Topic Discovery for Short Texts Using Word Embeddings. ICDM Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang
2016	A*	`conf`	Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang
2015	A*	`conf`	FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han
2015	—	`conf`	Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. ICDM Workshops Fenglong Ma, Jing Gao
2014	—	`conf`	Topical Influential User Analysis with Relationship Strength Estimation in Twitter. ICDM Workshops Xinyue Liu, Hua Shen, Fenglong Ma, Wenxin Liang
2011	J	`jnl`	Topic Detection with Hypergraph Partition Algorithm. J. Softw. Xinyue Liu, Fenglong Ma, Hongfei Lin
2010	—	`conf`	Hypergraph Partition with Harmonic Average Top-N and PCA for Topic Detection. PAAP Xinyue Liu, Fenglong Ma, Hongfei Lin, Hong Shen