Publications (Full List: Here)

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection
Tianshi Wang, Jinyang Li, Qikai Yang, Ruijie Wang, Yizhuo Chen, Dachun Sun, Bohan Li, Yigong Hu, Tomoyoshi Kimura, Denizhan Kara, Tarek Abdelzaher
IEEE Conference on Computer Communications (Infocom), 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL), 2025
Uncovering Cross-Domain Recommendation Ability of Large Language Models
Xinyi Liu, Ruijie Wang, Dachun Sun, Dilek Hakkani Tur, Tarek F. Abdelzaher
The First International Workshop on Large Language Model for E-Commerce at The Web Conference, 2025
RestoreML: Practical Unsupervised Tuning of Deployed Intelligent IoT Systems
Jinyang Li, Yizhuo Chen, Ruijie Wang, Tomoyoshi Kimura, Tianshi Wang, You Lyu, Hongjue Zhao, Binqi Sun, Shangchen Wu, Yigong Hu, Denizhan Kara, Beitong Tian, Klara Nahrstedt, Suhas Diggavi, Jae H Kim, Greg Kimberly, Guijun Wang, Maggie Wigness, Tarek Abdelzaher
International Conference on Distributed Computing in Sensor Systems, 2025
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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.
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.
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)
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
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)
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
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
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
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.
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.
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.
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
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
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks
Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek Abdelzaher
The 29th International Conference on Computer Communications and Networks (ICCCN), 2020
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Ruijie Wang, Yuchen Yan, Jialu Wang, Yuting Jia, Ye Zhang, Weinan Zhang, Xinbing Wang
International Conference on Information and Knowledge Management (CIKM), 2018