Xiaochen Wang

According to our database, Xiaochen Wang authored at least 18 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

GPR: Empowering Generation with Graph-Pretrained Retriever.

Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma

CoRR, June, 2025

MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph.

Xiaochen Wang, Yuan Zhong, Lingwei Zhang, Lisong Dai, Ting Wang, Fenglong Ma

CoRR, May, 2025

AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization.

Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Disentangling ID and Modality Effects for Session-based Recommendation.

Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.

Yuan Zhong, Suhan Cui, Jiaqi Wang, Xiaochen Wang, Ziyi Yin, Yaqing Wang, Houping Xiao, Mengdi Huai, Ting Wang, Fenglong Ma

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection.

Jiaqi Wang, Xiaochen Wang, Lingjuan Lyu, Jinghui Chen, Fenglong Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Synthesizing Multimodal Electronic Health Records via Predictive Diffusion Models.

Yuan Zhong, Xiaochen Wang, Jiaqi Wang, Xiaokun Zhang, Yaqing Wang, Mengdi Huai, Cao Xiao, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Mitigating Pooling Bias in E-commerce Search via False Negative Estimation.

Xiaochen Wang, Xiao Xiao, Ruhan Zhang, Xuan Zhang, Taesik Na, Tejaswi Tenneti, Haixun Wang, Fenglong Ma

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Recent Advances in Predictive Modeling with Electronic Health Records.

Jiaqi Wang, Junyu Luo, Muchao Ye, Xiaochen Wang, Yuan Zhong, Aofei Chang, Guanjie Huang, Ziyi Yin, Cao Xiao, Jimeng Sun, Fenglong Ma

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models.

Xiaochen Wang, Jiaqi Wang, Houping Xiao, Jinghui Chen, Fenglong Ma

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CoRelation: Boosting Automatic ICD Coding through Contextualized Code Relation Learning.

Junyu Luo, Xiaochen Wang, Jiaqi Wang, Aofei Chang, Yaqing Wang, Fenglong Ma

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unity in Diversity: Collaborative Pre-training Across Multimodal Medical Sources.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Yuan Zhong, Xiaokun Zhang, Yaqing Wang, Parminder Bhatia, Cao Xiao, Fenglong Ma

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Hierarchical Pretraining on Multimodal Electronic Health Records.

Xiaochen Wang, Junyu Luo, Jiaqi Wang, Ziyi Yin, Suhan Cui, Yuan Zhong, Yaqing Wang, Fenglong Ma

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

pADR: Towards Personalized Adverse Drug Reaction Prediction by Modeling Multi-sourced Data.

Junyu Luo, Cheng Qian, Xiaochen Wang, Lucas Glass, Fenglong Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2018

Fast Top-k Area Topics Extraction with Knowledge Base.

Fang Zhang, Xiaochen Wang, Jingfei Han, Jie Tang, Shiyin Wang

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

Course Concept Extraction in MOOC via Explicit/Implicit Representation.

Xiaochen Wang, Wenzheng Feng, Jie Tang, Qingyang Zhong

Proceedings of the Third IEEE International Conference on Data Science in Cyberspace, 2018

2017

Smart Jump: Automated Navigation Suggestion for Videos in MOOCs.

Han Zhang, Maosong Sun, Xiaochen Wang, Zhengyang Song, Jie Tang, Jimeng Sun

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Course Concept Extraction in MOOCs via Embedding-Based Graph Propagation.

Liangming Pan, Xiaochen Wang, Chengjiang Li, Juanzi Li, Jie Tang

Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017