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 Interests

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 foudation model, multi-vantage signal pretraining, time-series analysis
Applications: recommendation, knowledge graph reasoning, social network analysis

News

Sept 2024 Two paper were accepted by NeurIPS 2024 and Sensys 2024 respectively.
July 2024 Our tutorial proposal "Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools" was accepted by CIKM 2024 Tutorial Track.
May 2024 We host a challenge Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking in IEEE BigData Cup 2024.
March 2024 Two papers were accepted by SIGIR 2024.
Jan 2024 One paper was accepted by WWW 2024.
Sept 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 paper was 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]
Fine-grained Control of Generative Data Augmentation in IoT Sensing
Tianshi Wang, Qikai Yang, Ruijie Wang#, Dachun Sun, Jinyang Li, Yizhuo Chen, Yigong Hu, Chaoqi Yang, Tomoyoshi Kimura, Denizhan Kara, Tarek F. Abdelzaher
The 38 Annual Conference on Neural Information Processing Systems (NeurIPS'24), 2024

[paper to appear]
Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools
Ruijie Wang, Wanyu Zhao, Dachun Sun, Charith Mendis, and Tarek Abdelzaher
The Conference on Information and Knowledge Management (CIKM, Tutorial), 2024

[paper to appear]
PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT
Denizhan Kara, Tomoyoshi Kimura , Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Lance Kaplan, Joydeep Bhattacharyya, Tarek Abdelzaher
The 21th ACM Conference on Embedded Networked Sensor Systems (SenSys), 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]
Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs
Jinning Li, Ruipeng Han, Chenkai Sun, Dachun Sun, Ruijie Wang, Jingying Zeng, Yuchen Yan, Hanghang Tong and Tarek Abdelzaher
In Proc. 33rd International Conference on Computer Communications and Networks (ICCCN), 2024

[paper to appear]
Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestratio
Jinyang Li, Yizhuo Chen, Tomoyoshi Kimura, Tianshi Wang, Ruijie Wang, Denizhan Kara, Yigong Hu, Li Wu, Walid A. Hanafy, Abel Souza, Prashant Shenoy, Maggie Wigness, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh Eckhardt, Denis Osipychev and Tarek Abdelzaher
In Proc. 33rd International Conference on Computer Communications and Networks (ICCCN), 2024

[paper to appear]
Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model
Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Ruijie Wang, Jinyang Li, Tommy Kimura, Tarek Abdelzaher
In Proc. 33rd International Conference on Computer Communications and Networks (ICCCN), 2024

[paper to appear]
VibroFM: Towards Micro Foundation Models for Robust Multimodal IoT Sensing
Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Yizhuo Chen, Ruijie Wang, Denizhan Kara, Maggie Wigness, Joydeep Bhattacharyya, Mudhakar Srivatsa, Shengzhong Liu, Mani Srivastava, Suhas Diggavi, Tarek Abdelzaher
In Proc. 21st IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 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]
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]
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]
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]
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]
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]
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]
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.

Services

Organizer:

IEEE BigData Cup 2024: Characterizing User Behavior in Social Networks: Propagation, Prediction, and Sensemaking
CIKM 2024 Tutorial: Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools

Journal Reviewer:

IEEE Transactions on Knowledge and Data Engineering (TKDE)
IEEE Transactions on Mobile Computing (TMC)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
ACM Transactions on the Web (TWEB)
ACM Transactions on Internet of Things (AIOT)

Conference PC Member and Reviewer:

AAAI, KDD, ICLR, AISTATS (2025)
NeurIPS, KDD, ACL Rolling Review, SIGIR, AAAI, IJCAI, MM, EMNLP, CIKM, LoG, ECML/PKDD (2024)
NeurIPS, ICLR, KDD, ACL, SIGIR, AAAI, IJCAI, EMNLP, LoG, ECML/PKDD (2023)
KDD, AAAI, ESWC, (2022)
...

Conference Volunteer:

INFOCOM (2021)

Teaching Assistant:

UIUC CS498: Cloud Computing Applications
SJTU EE448: Big Data Mining

Honors & Awards

Conference Presentation Award, UIUC 2023

CIKM NSF Travel Award 2022

Outstanding Graduates in Shanghai Jiao Tong University 2019

Rong Chang Innovation Scholarship (Top 20 in SJTU for excellent research performance) 2018

Chuntsung Scholar (Top 50 in SJTU for excellent research performance and potential) 2018

EIC Education Scholarship (Top 20 of 3 grades in department) 2018

Meritorious Winner (Top 8.88%), Mathematics Contest in Modeling (MCM) 2018

Sumsung Scholarship (Top 3%) 2017

Bronze award & 1st Prize, Chinese Physics Olympiad (CPhO) 2014