Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation. - Liangming Pan; Xiaochen Wang 002; Chengjiang Li; Juanzi Li; Jie Tang 001 (IJCNLP(1), 2017)

Smart Jump: Automated Navigation Suggestion for Videos in MOOCs. - Han Zhang; Maosong Sun 001; Xiaochen Wang 002; Zhengyang Song; Jie Tang 001; Jimeng Sun 001 (WWW (Companion Volume), 2017)

Course Concept Extraction in MOOC via Explicit/Implicit Representation. - Xiaochen Wang 002; Wenzheng Feng; Jie Tang 001; Qingyang Zhong (DSC, 2018)

Fast Top-k Area Topics Extraction with Knowledge Base. - Fang Zhang; Xiaochen Wang 002; Jingfei Han; Jie Tang 001; Shiyin Wang (DSC, 2018)

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

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

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

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

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

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

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

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

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

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

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

AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization. - Yiyang Du; Xiaochen Wang 002; Chi Chen 005; Jiabo Ye; Yiru Wang; Peng Li 030; Ming Yan 008; Ji Zhang 011; Fei Huang 002; Zhifang Sui; Maosong Sun 001; Yang Liu 005 (CVPR, 2025)

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

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