Bio
I am a Ph.D. candidate in Computer Science from University of Illinois at Urbana-Champaign, advised by Prof. Tarek F. Abdelzaher. Prior to UIUC, I received my bachelor degree from Computer Science Department in Shanghai Jiao Tong University, under the supervision of Prof. Xinbing Wang and Prof. Weinan Zhang.
Research Interest
My research interest includes machine learning and deep learning on graph, natural language, and time-series data, with applications on social network analysis, knowledge graph and dynamic systems.
Publications
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TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning
Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis and Tarek AbdelzaherInternational Conference on Research and Development in Information Retrieval (SIGIR), 2024
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MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning
Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara and Tarek AbdelzaherInternational Conference on Research and Development in Information Retrieval (SIGIR), 2024
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FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing
Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek AbdelzaherThe Web Conference, 2024
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On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie Wigness, Shengzhong Liu, Mani Srivastava, Suhas Diggavi and Tarek F. AbdelzaherInternational Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), 2024
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Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning
Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong and Tarek F. AbdelzaherThe 61st Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2023
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Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning
Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek AbdelzaherThe Web Conference, 2023
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Influence Mapping on Social Media based on Interpretable Ideological Embedding
Ruijie Wang*, Xinyi Liu*, Dachun Sun*, Jinning Li, Christina Youn, You Lyu, Jianyuan Zhan, Dayou Wu, Xinhe Xu, Mingjun Liu, Xinshuo Lei, Zhihao Xu, Yutong Zhang, Zehao Li, Qikai Yang, Tarek AbdelzaherThe 9th IEEE International Conference on Collaboration and Internet Computing (CIC), 2023
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SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach
Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Martin, Raghu Ganti, Mudhakar Srivatsa, Tarek AbdelzaherThe 21th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2023
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FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas Diggavi, Mani Srivastava, Tarek AbdelzaherThe 37 Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023
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Reconciling Competing Sampling Strategies of Network Embedding
Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang TongThe 37 Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023
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Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns
Xinyi Liu, Jinning Li, Dachun Sun, Ruijie Wang, Tarek Abdelzaher, Matt Brown, Anthony Barricelli, Matthias Kirchner, Arslan BasharatIn Proc. PhoMemes (in conjunction with ICWSM), Limassol, Cyprus, June 2023.
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TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-limited IoT Applications
Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, Tarek Abdelzaher, Matthew Caesar, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh Eckhardt, Denis OsipychevThe 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, July 2023.
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Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graph
Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek AbdelzaherThe 36 Annual Conference on Neural Information Processing Systems (NeurIPS'22)
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RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek AbdelzaherThe Web Conference (WWW), 2022
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Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion
Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek AbdelzaherThe 31th ACM International Conference on Information and Knowledge Management (CIKM'22)
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Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders
Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek AbdelzaherInternational Conference on Research and Development in Information Retrieval (SIGIR), 2022
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DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction
Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun,Shuochao Yao, Tarek Abdelzaher.International Conference on Research and Development in Information Retrieval (SIGIR), 2021
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Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective
Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher2021 International Conference on Computer Communications and Networks (ICCCN), 2021
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Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization
Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F AbdelzaherFrontiers in Big Data, 2021.
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Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding
Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek AbdelzaherThe ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2021.
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Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning
Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing WangIn proceeding of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.
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"Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization
Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek AbdelzaherInternational Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.
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Handling Missing Sensors in Topology-aware IoT Applications with Gated Graph Neural Networks
Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek Abdelzaher.The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2020.
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Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks
Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, TianshiWang, Jinyang Li, Chaoqi Yang, Ruijie Wang and Tarek AbdelzaherThe 29th International Conference on Computer Communications and Networks (ICCCN), 2020.
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AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing WangIn proceeding of International Conference on Information and Knowledge Management (CIKM), 2018.
Service
Honors & Awards