| 2026 | WWW | Room Matters: Dynamic Room-level Collaboration Information Modeling for Live Streaming Recommendation. | Ke Guo, Changle Qu, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Jun Xu |
| 2026 | SIGIR | KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation. | Changle Qu, Sunhao Dai, Ke Guo, Xiao Zhang, Liqin Zhao, Shijun Wang, Yanan Niu, Lantao Hu, Han Li, Jun Xu |
| 2025 | CIKM | Pantheon: Personalized Multi-objective Ensemble Sort via Iterative Pareto Policy Optimization. | Jiangxia Cao, Pengbo Xu, Yin Cheng, Kaiwei Guo, Jian Tang, Shijun Wang, Dewei Leng, Shuang Yang, Zhaojie Liu, Yanan Niu, Guorui Zhou, Kun Gai |
| 2025 | ICASSP | HANet: A Harmonic Attention-Based Network for Singing Melody Extraction from Polyphonic Music. | Shijun Wang, Xiangzhu Kong, Hao Huang, Kai Wang, Ying Hu |
| 2023 | ICASSP | Fine-Grained Emotional Control of Text-to-Speech: Learning to Rank Inter- and Intra-Class Emotion Intensities. | Shijun Wang, Jn Gunason, Damian Borth |
| 2023 | Interspeech | Automatic Speech Disentanglement for Voice Conversion using Rank Module and Speech Augmentation. | Zhonghua Liu, Shijun Wang, Ning Chen |
| 2023 | Interspeech | Learning Emotional Representations from Imbalanced Speech Data for Speech Emotion Recognition and Emotional Text-to-Speech. | Shijun Wang, Jn Gunason, Damian Borth |
| 2022 | IJCAI | Memory Augmented State Space Model for Time Series Forecasting. | Yinbo Sun, Lintao Ma, Yu Liu, Shijun Wang, James Zhang, Yangfei Zheng, Hu Yun, Lei Lei, Yulin Kang, Llinbao Ye |
| 2022 | IJCNN | Zero-shot Voice Conversion via Self-supervised Prosody Representation Learning. | Shijun Wang, Damian Borth |
| 2022 | Interspeech | Generative Data Augmentation Guided by Triplet Loss for Speech Emotion Recognition. | Shijun Wang, Hamed Hemati, Jn Gunason, Damian Borth |
| 2022 | KDD | A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. | Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang |
| 2021 | IJCNN | A Graph Regularized Point Process Model For Event Propagation Sequence. | Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang |
| 2019 | IJCNN | A Riemannian Primal-dual Algorithm Based on Proximal Operator and its Application in Metric Learning. | Shijun Wang, Baocheng Zhu, Lintao Ma, Yuan Qi |
| 2016 | RE | SCCMT: A Stigmergy-Based Collaborative Conceptual Modeling Tool. | Yi Jiang, Shijun Wang, Kai Fu, Wei Zhang, Haiyan Zhao |
| 2014 | MICCAI | A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations. | Holger R. Roth, Le Lu, Ari Seff, Kevin M. Cherry, Joanne Hoffman, Shijun Wang, Jiamin Liu, Evrim Turkbey, Ronald M. Summers |
| 2014 | MICCAI | 2D View Aggregation for Lymph Node Detection Using a Shallow Hierarchy of Linear Classifiers. | Ari Seff, Le Lu, Kevin M. Cherry, Holger R. Roth, Jiamin Liu, Shijun Wang, Joanne Hoffman, Evrim B. Turkbey, Ronald M. Summers |
| 2013 | ISCAS | Design and analysis of full-chip HV ESD protection in BCD30V for mixed-signal ICs. | Shijun Wang, Fai Yao, Li Wang, Rui Ma, C. Zhang, Zongyu Dong, Albert Wang, Zitao Shi, Yuhua Cheng, Baoyong Chi, Tianling Ren |
| 2013 | MICCAI | A Variational Framework for Joint Detection and Segmentation of Ovarian Cancer Metastases. | Jianfei Liu, Shijun Wang, Marius George Linguraru, Jianhua Yao, Ronald M. Summers |
| 2013 | MICCAI | Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images. | Jianfei Liu, Shijun Wang, Jianhua Yao, Marius George Linguraru, Ronald M. Summers |
| 2013 | MICCAI | Visual Phrase Learning and Its Application in Computed Tomographic Colonography. | Shijun Wang, Matthew McKenna, Zhuoshi Wei, Jiamin Liu, Peter Liu, Ronald M. Summers |
| 2013 | MICCAI | Sequential Monte Carlo Tracking for Marginal Artery Segmentation on CT Angiography by Multiple Cue Fusion. | Shijun Wang, Brandon Peplinski, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers |
| 2012 | MICCAI | Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation. | Jianfei Liu, Shijun Wang, Marius George Linguraru, Ronald M. Summers |
| 2012 | MICCAI | Gaussian Process Inference for Estimating Pharmacokinetic Parameters of Dynamic Contrast-Enhanced MR Images. | Shijun Wang, Peter Liu, Baris Turkbey, Peter L. Choyke, Peter A. Pinto, Ronald M. Summers |
| 2011 | KDD | Learning to trade off between exploration and exploitation in multiclass bandit prediction. | Hamed Valizadegan, Rong Jin, Shijun Wang |
| 2010 | ICIP | Graph matching based on mean field theory. | Shijun Wang, Nicholas Petrick, Robert L. Van Uitert Jr., Senthil Periaswamy, Ronald M. Summers |
| 2010 | MICCAI | Teniae Coli Extraction in Human Colon for Computed Tomographic Colonography Images. | Zhuoshi Wei, Jianhua Yao, Shijun Wang, Ronald M. Summers |
| 2009 | CVPR | Learning a distance metric from multi-instance multi-label data. | Rong Jin, Shijun Wang, Zhi-Hua Zhou |
| 2009 | IJCNN | A fast mean-field method for large-scale high-dimensional data and its application in colonic polyp detection at CT colonography. | Shijun Wang, Ronald M. Summers, Changshui Zhang |
| 2008 | ICPR | Matching colonic polyps from prone and supine CT colonography scans based on statistical curvature information. | Shijun Wang, Jianhua Yao, Ronald M. Summers |
| 2008 | ICPR | Collaborative learning by boosting in distributed environments. | Shijun Wang, Changshui Zhang |
| 2006 | ISCAS | Robust adaptive infinite impulse response notch filters: a novel state-space approach. | Junli Liang, Shijun Wang, Shuyuan Yang |
| 2005 | DIS | Network Boosting for BCI Applications. | Shijun Wang, Zhonglin Lin, Changshui Zhang |