Bio

I am a Postdoctoral Research Associate from the Department of Computer Science at University of Illinois at Urbana-Champaign (UIUC) . I obtained my Ph.D. from CS department at UIUC, 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

• Graph Machine Learning: temporal graph learning, link prediction, temporal reasoning, few-shot learning
• Efficient Graph Learning Platform : online graph learning, distributed training, real-time fine-tuning
• Foundation Model for Multi-Modal Data: graph pretraining, multi-vantage pretraining , time-series analysis
• Applications : recommendation, knowledge graph reasoning, social network analysis

News

• March 2024, Two paper was accepted by SIGIR 2024.
• Jan 2024, One paper was accepted by WWW 2024.
• Sep 2023 - Two papers were accepted by NeurIPS 2023.
• May 2023 - We have launched the Anotomy of Conflict Tools, featuring a range of end-to-end real-time social network analysis capabilities. Feel free to submit your own task and check our anaysis result!
• May 2023 - One papers were accepted by ACL 2023.
• Jan 2023 - One paper was accepted by WWW 2023.
• ...

Experiences

• Jan 2024-Present, CS@UIUC, Postdoctoral Research Associate, IL, USA.
• Jan 2023-Present, SRC Research Scholars Program, Research Scholar, IL, USA. Research topic: Efficient Graph Learning on Large-scale Graphs.
• July 2019-Dec 2023, CS@UIUC, Research Assistant, IL, USA.
• May 2022-Oct 2022, Amazon Search (A9), Applied Scientist Intern, Search and NLP group, Palo Alto, CA, USA. Research topic: Cross-lingual Transfer.
• May 2021-Sept 2022, Amazon Search (A9), Applied Scientist Intern, Search and NLP group, Palo Alto, CA, USA. Research topic: KG-based Recommendation.
• Jul 2017-June 2019, Shanghai Jiao Tong University, Research Assistant, IIoT Lab, Shanghai, China. Research topic: Academic Data Mining.

Publications

• 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 Abdelzaher

  International Conference on Research and Development in Information Retrieval (SIGIR), 2024

  [paper to appear]

• 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 Abdelzaher

  International Conference on Research and Development in Information Retrieval (SIGIR), 2024

  [paper to appear]

• 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 Abdelzaher

  The Web Conference, 2024

  [paper to appear]

• 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. Abdelzaher

  International Workshop on Foundation Models for Cyber-Physical Systems & Internet of Things (FMSys), 2024

  [paper to appear]

• 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. Abdelzaher

  The 61st Annual Meeting of the Association for Computational Linguistics (ACL-Findings), 2023

  [paper]

• Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning

  Ruijie Wang, Zheng Li, Jingfeng Yang, Tianyu Cao, Chao Zhang, Bing Yin, Tarek Abdelzaher

  The Web Conference, 2023

  [paper]

• 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 Abdelzaher

  The 9th IEEE International Conference on Collaboration and Internet Computing (CIC), 2023

  [paper to appear]

• 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 Abdelzaher

  The 21th ACM Conference on Embedded Networked Sensor Systems (SenSys), 2023

  [paper to appear]

• 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 Abdelzaher

  The 37 Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023

  [paper to appear]

• Reconciling Competing Sampling Strategies of Network Embedding

  Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang Tong

  The 37 Annual Conference on Neural Information Processing Systems (NeurIPS'23), 2023

  [paper to appear]

• 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 Basharat

  In Proc. PhoMemes (in conjunction with ICWSM), Limassol, Cyprus, June 2023.

  [paper to appear]

• 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 Osipychev

  The 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, July 2023.

  [paper to appear]

• 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 Abdelzaher

  The 36 Annual Conference on Neural Information Processing Systems (NeurIPS'22)

  [paper]

• 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 Abdelzaher

  The Web Conference (WWW), 2022

  [paper]

• Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion

  Chaoqi Yang, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher

  The 31th ACM International Conference on Information and Knowledge Management (CIKM'22)

  [paper]

• 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 Abdelzaher

  International Conference on Research and Development in Information Retrieval (SIGIR), 2022

  [paper]

• 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

  [paper]

• Contrastive self-supervised representation learning for sensing signals from the time-frequency perspective

  Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek Abdelzaher

  2021 International Conference on Computer Communications and Networks (ICCCN), 2021

  [paper]

• 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 Abdelzaher

  Frontiers in Big Data, 2021.

  [paper]

• 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 Abdelzaher

  The ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT/Ubicomp), 2021.

  [paper]

• Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

  Haiwen Wang, Ruijie Wang, Chuan Wen, Shuhao Li, Yuting Jia, Weinan Zhang, Xinbing Wang

  In proceeding of Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020.

  [paper]

• "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 Abdelzaher

  International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.

  [paper]

• 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.

  [paper]

• 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 Abdelzaher

  The 29th International Conference on Computer Communications and Networks (ICCCN), 2020.

  [paper]

• AceKG: A Large-scale Knowledge Graph for Academic Data Mining

  Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang

  In proceeding of International Conference on Information and Knowledge Management (CIKM), 2018.

Service

Honors & Awards