AceKG: A Large-scale Knowledge Graph for Academic Data Mining. - Ruijie Wang 004; Yuchen Yan; Jialu Wang; Yuting Jia; Ye Zhang; Weinan Zhang 001; Xinbing Wang (CIKM, 2018)

RI-SSGE: a framework with rule inference and sentence schema graph embedding for knowledge base query construction. - Xiaoyang Huo; Chuan Wen; Yuchen Yan; Ruijie Wang 004 (ACM TUR-C, 2019)

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning. - Haiwen Wang; Ruijie Wang 004; Chuan Wen; Shuhao Li; Yuting Jia; Weinan Zhang 001; Xinbing Wang (AAAI, 2020)

Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. - Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang; Tarek F. Abdelzaher (ASONAM, 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 004; Chaoqi Yang; Ruijie Wang 004; Tarek F. Abdelzaher (ICCCN, 2020)

Disentangling Overlapping Beliefs by Structured Matrix Factorization. - Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang; Tarek F. Abdelzaher (CoRR, 2020)

Revisiting "Over-smoothing" in Deep GCNs. - Chaoqi Yang; Ruijie Wang 004; Shuochao Yao; Shengzhong Liu; Tarek F. Abdelzaher (CoRR, 2020)

Quantifying Projected Impact of Social Distancing Policies on COVID-19 Outcomes in the US. - Chaoqi Yang; Ruijie Wang 004; Fangwei Gao; Dachun Sun; Jiawei Tang; Tarek F. Abdelzaher (CoRR, 2020)

Hypergraph Learning with Line Expansion. - Chaoqi Yang; Ruijie Wang 004; Shuochao Yao; Tarek F. Abdelzaher (CoRR, 2020)

Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. - Shengzhong Liu; Shuochao Yao; Yifei Huang; Dongxin Liu; Huajie Shao; Yiran Zhao 001; Jinyang Li 004; Tianshi Wang; Ruijie Wang 004; Chaoqi Yang; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective. - Dongxin Liu; Tianshi Wang; Shengzhong Liu; Ruijie Wang 004; Shuochao Yao; Tarek F. Abdelzaher (ICCCN, 2021)

On Polarization Dynamics in the Age of Information Overload. - Chao Xu; Jinyang Li 004; Dachun Sun; Ruijie Wang 004; Tarek F. Abdelzaher; Jesse Graham; Boleslaw K. Szymanski (ICWSM Workshops, 2021)

DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. - Ruijie Wang 004; Zijie Huang 002; Shengzhong Liu; Huajie Shao; Dongxin Liu; Jinyang Li 004; Tianshi Wang; Dachun Sun; Shuochao Yao; Tarek F. Abdelzaher (SIGIR, 2021)

Simulating Online Social Response: A Stimulus/Response Perspective. - Huajie Shao; Tarek F. Abdelzaher; Jiawei Han 001; Minhao Jiang; Yuning Mao; Yu Meng 001; Wenda Qiu; Dachun Sun; Ruijie Wang 004; Chaoqi Yang; Zhenzhou Yang; Xinyang Zhang 002; et al. (WSC, 2021)

Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. - Jinning Li 001; Huajie Shao; Dachun Sun; Ruijie Wang 004; Yuchen Yan; Jinyang Li 004; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (CoRR, 2021)

Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. - Dachun Sun; Chaoqi Yang; Jinyang Li 004; Ruijie Wang 004; Shuochao Yao; Huajie Shao; Dongxin Liu; Shengzhong Liu; Tianshi Wang; Tarek F. Abdelzaher (Frontiers Big Data, 2021)

Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. - Tianshi Wang; Shuochao Yao; Shengzhong Liu; Jinyang Li 004; Dongxin Liu; Huajie Shao; Ruijie Wang 004; Tarek F. Abdelzaher (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Semi-supervised Hypergraph Node Classification on Hypergraph Line Expansion. - Chaoqi Yang; Ruijie Wang 004; Shuochao Yao; Tarek F. Abdelzaher (CIKM, 2022)

Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. - Ruijie Wang 004; Zheng Li 018; Dachun Sun; Shengzhong Liu; Jinning Li 001; Bing Yin; Tarek F. Abdelzaher (NeurIPS, 2022)

Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. - Jinning Li 001; Huajie Shao; Dachun Sun; Ruijie Wang 004; Yuchen Yan; Jinyang Li 004; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (SIGIR, 2022)

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. - Ruijie Wang 004; Zheng Li 018; Danqing Zhang; Qingyu Yin; Tong Zhao 002; Bing Yin; Tarek F. Abdelzaher (WWW, 2022)

Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. - Ruijie Wang 004; Baoyu Li; Yichen Lu; Dachun Sun; Jinning Li 001; Yuchen Yan; Shengzhong Liu; Hanghang Tong; Tarek F. Abdelzaher (ACL (Findings), 2023)

Influence Pathway Discovery on Social Media. - Xinyi Liu; Ruijie Wang 004; Dachun Sun; Jinning Li 001; Christina Youn; You Lyu; Jianyuan Zhan; Dayou Wu; Xinhe Xu; Mingjun Liu; Xinshuo Lei; Zhihao Xu; et al. (CIC, 2023)

TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. - Deepti Kalasapura; Jinyang Li 004; Shengzhong Liu; Yizhuo Chen; Ruijie Wang 004; Tarek F. Abdelzaher; Matthew Caesar 001; Joydeep Bhattacharyya; Jae Kim; Guijun Wang; Greg Kimberly; Josh D. Eckhardt; et al. (ICCCN, 2023)

FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. - Shengzhong Liu; Tomoyoshi Kimura; Dongxin Liu; Ruijie Wang 004; Jinyang Li 004; Suhas N. Diggavi; Mani B. Srivastava; Tarek F. Abdelzaher (NeurIPS, 2023)

Reconciling Competing Sampling Strategies of Network Embedding. - Yuchen Yan; Baoyu Jing; Lihui Liu; Ruijie Wang 004; Jinning Li 001; Tarek F. Abdelzaher; Hanghang Tong (NeurIPS, 2023)

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. - Tianshi Wang; Jinyang Li 004; Ruijie Wang 004; Denizhan Kara; Shengzhong Liu; Davis Wertheimer; Antoni Viros-i-Martin; Raghu K. Ganti; Mudhakar Srivatsa; Tarek F. Abdelzaher (SenSys, 2023)

Mutually-paced Knowledge Distillation for Cross-lingual Temporal Knowledge Graph Reasoning. - Ruijie Wang 004; Zheng Li 018; Jingfeng Yang 001; Tianyu Cao 001; Chao Zhang 014; Bing Yin; Tarek F. Abdelzaher (WWW, 2023)

Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns. - Xinyi Liu; Jinning Li 001; Dachun Sun; Ruijie Wang 004; Tarek F. Abdelzaher; Matt Brown; Anthony Barricelli; Matthias Kirchner; Arslan Basharat (CoRR, 2023)

Towards Efficient Temporal Graph Learning: Algorithms, Frameworks, and Tools. - Ruijie Wang 004; Wanyu Zhao; Dachun Sun; Charith Mendis; Tarek F. Abdelzaher (CIKM, 2024)

The Case for Micro Foundation Models to Support Robust Edge Intelligence. - Tomoyoshi Kimura; Ashitabh Misra; Yizhuo Chen; Denizhan Kara; Jinyang Li 004; Tianshi Wang; Ruijie Wang 004; Joydeep Bhattacharyya; Jae Kim; Prashant J. Shenoy; Mani Srivastava 001; Maggie B. Wigness; et al. (CogMI, 2024)

Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. - Jinyang Li 004; Yizhuo Chen; Tomoyoshi Kimura; Tianshi Wang; Ruijie Wang 004; Denizhan Kara; Yigong Hu; Li Wu; Walid A. Hanafy; Abel Souza; Prashant J. Shenoy; Maggie B. Wigness; et al. (ICCCN, 2024)

Large Language Model-Guided Disentangled Belief Representation Learning on Polarized Social Graphs. - Jinning Li 001; Ruipeng Han; Chenkai Sun; Dachun Sun; Ruijie Wang 004; Jingying Zeng; Yuchen Yan; Hanghang Tong; Tarek F. Abdelzaher (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 004; Jinyang Li 004; Tomoyoshi Kimura; Tarek F. Abdelzaher (ICCCN, 2024)

Fine-grained Control of Generative Data Augmentation in IoT Sensing. - Tianshi Wang; Qikai Yang; Ruijie Wang 004; Dachun Sun; Jinyang Li 004; Yizhuo Chen; Yigong Hu; Chaoqi Yang; Tomoyoshi Kimura; Denizhan Kara; Tarek F. Abdelzaher (NeurIPS, 2024)

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. - Denizhan Kara; Tomoyoshi Kimura; Yatong Chen; Jinyang Li 004; Ruijie Wang 004; Yizhuo Chen; Tianshi Wang; Shengzhong Liu; Tarek F. Abdelzaher (SenSys, 2024)

TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. - Ruijie Wang 004; Jingyuan Huang; Yutong Zhang; Jinyang Li 004; Yufeng Wang; Wanyu Zhao; Shengzhong Liu; Charith Mendis; Tarek F. Abdelzaher (SIGIR, 2024)

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. - Ruijie Wang 004; Yutong Zhang; Jinyang Li 004; Shengzhong Liu; Dachun Sun; Tianchen Wang; Tianshi Wang; Yizhuo Chen; Denizhan Kara; Tarek F. Abdelzaher (SIGIR, 2024)

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. - Denizhan Kara; Tomoyoshi Kimura; Shengzhong Liu; Jinyang Li 004; Dongxin Liu; Tianshi Wang; Ruijie Wang 004; Yizhuo Chen; Yigong Hu; Tarek F. Abdelzaher (WWW, 2024)

On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. - Tomoyoshi Kimura; Jinyang Li 004; Tianshi Wang; Denizhan Kara; Yizhuo Chen; Yigong Hu; Ruijie Wang 004; Maggie B. Wigness; Shengzhong Liu; Mani Srivastava 001; Suhas N. Diggavi; Tarek F. Abdelzaher (CoRR, 2024)

Perturbation-based Graph Active Learning for Weakly-Supervised Belief Representation Learning. - Dachun Sun; Ruijie Wang 004; Jinning Li 001; Ruipeng Han; Xinyi Liu; You Lyu; Tarek F. Abdelzaher (CoRR, 2024)

Aligning Large Language Models with Implicit Preferences from User-Generated Content. - Zhaoxuan Tan; Zheng Li 018; Tianyi Liu; Haodong Wang; Hyokun Yun; Ming Zeng 001; Pei Chen; Zhihan Zhang 001; Yifan Gao 001; Ruijie Wang 004; Priyanka Nigam; Bing Yin; et al. (ACL (1), 2025)

DynaGen: Conditional Diffusion Models for Enhancing Acoustic and Seismic-Based Vehicle Detection. - Tianshi Wang; Jinyang Li 004; Qikai Yang; Ruijie Wang 004; Yizhuo Chen; Dachun Sun; Bohan Li; Yigong Hu; Tomoyoshi Kimura; Denizhan Kara; Tarek F. Abdelzaher (INFOCOM, 2025)

Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training. - Yuchen Zhuang; Jingfeng Yang 001; Haoming Jiang; Xin Liu 039; Kewei Cheng; Sanket Lokegaonkar; Yifan Gao 001; Qing Ping; Tianyi Liu; Binxuan Huang; Zheng Li 018; Zhengyang Wang; et al. (NAACL (Long Papers), 2025)

Uncovering Cross-Domain Recommendation Ability of Large Language Models. - Xinyi Liu; Ruijie Wang 004; Dachun Sun; Dilek Hakkani-Tür; Tarek F. Abdelzaher (WWW (Companion Volume), 2025)

Foundation Models for CPS-IoT: Opportunities and Challenges. - Ozan Baris; Yizhuo Chen; Gaofeng Dong; Liying Han; Tomoyoshi Kimura; Pengrui Quan; Ruijie Wang 004; Tianchen Wang; Tarek F. Abdelzaher; Mario Bergés; Paul Pu Liang; Mani Srivastava 001 (CoRR, 2025)

TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. - Lihui Liu; Zihao Wang 001; Dawei Zhou 003; Ruijie Wang 004; Yuchen Yan; Bo Xiong; Sihong He; Kai Shu; Hanghang Tong (CoRR, 2025)