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Jinyang Li 0004
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
- affiliation: University of Science & Technology of China, Hefei, China
Other persons with the same name
- Jinyang Li — disambiguation page
- Jinyang Li 0001 — New York University, Department of Computer Science, NY, USA
- Jinyang Li 0002 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Jinyang Li 0003 — Harbin Institute of Technology, Harbin, China
- Jinyang Li 0005 — Hunan University of TCM, Changsha, China
- Jinyang Li 0006 — California Institute of Technology, Pasadena, CA, USA (and 1 more)
- Jinyang Li 0007 — Beijing Institute of Technology, Beijing, China
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Journal Articles
- 2024
- [j7]Chao Xu, Jinyang Li, Dachun Sun, Jinning Li, Tarek F. Abdelzaher, Jesse Graham, Michael Macy, Christian Lebiere, Boleslaw K. Szymanski:
The Paradox of Information Access: On Modeling Polarization in the Age of Information. IEEE Trans. Control. Netw. Syst. 11(2): 964-976 (2024) - 2022
- [j6]Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9285-9297 (2022) - 2021
- [j5]Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Frontiers Big Data 4: 729881 (2021) - [j4]Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek F. Abdelzaher:
Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(3): 132:1-132:29 (2021) - [j3]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services. GetMobile Mob. Comput. Commun. 25(1): 39-42 (2021) - 2020
- [j2]Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek F. Abdelzaher:
GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 19:1-19:27 (2020) - [j1]Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher:
Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(3): 90:1-90:31 (2020)
Conference and Workshop Papers
- 2024
- [c35]Jinyang Li, Yizhuo Chen, Tomoyoshi Kimura, Tianshi Wang, Ruijie Wang, Denizhan Kara, Yigong Hu, Li Wu, Walid A. Hanafy, Abel Souza, Prashant J. Shenoy, Maggie B. Wigness, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh D. Eckhardt, Denis Osipychev, Tarek F. Abdelzaher:
Acies-OS: A Content-Centric Platform for Edge AI Twinning and Orchestration. ICCCN 2024: 1-9 - [c34]Tianshi Wang, Yizhuo Chen, Qikai Yang, Dachun Sun, Ruijie Wang, Jinyang Li, Tomoyoshi Kimura, Tarek F. Abdelzaher:
Data Augmentation for Human Activity Recognition via Condition Space Interpolation within a Generative Model. ICCCN 2024: 1-9 - [c33]Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher:
PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. SenSys 2024: 97-111 - [c32]Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher:
MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. SIGIR 2024: 59-69 - [c31]Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher:
TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. SIGIR 2024: 1659-1669 - [c30]Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher:
FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. WWW 2024: 2795-2806 - 2023
- [c29]Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, Tarek F. Abdelzaher, Matthew Caesar, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh D. Eckhardt, Denis Osipychev:
TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. ICCCN 2023: 1 - [c28]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. NeurIPS 2023 - [c27]Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. SenSys 2023: 15-27 - 2022
- [c26]Dongxin Liu, Tarek F. Abdelzaher, Tianshi Wang, Yigong Hu, Jinyang Li, Shengzhong Liu, Matthew Caesar, Deepti Kalasapura, Joydeep Bhattacharyya, Nassy Srour, Jae Kim, Guijun Wang, Greg Kimberly, Shouchao Yao:
IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. ICCCN 2022: 1-10 - [c25]Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian:
The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM 2022: 1082-1087 - [c24]Meet P. Vadera, Jinyang Li, Adam D. Cobb, Brian Jalaian, Tarek F. Abdelzaher, Benjamin M. Marlin:
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods. MLSys 2022 - [c23]Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher:
AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. ACM Multimedia 2022: 3035-3044 - [c22]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR 2022: 1728-1738 - 2021
- [c21]Chao Xu, Jinyang Li, Dachun Sun, Ruijie Wang, Tarek F. Abdelzaher, Jesse Graham, Boleslaw K. Szymanski:
On Polarization Dynamics in the Age of Information Overload. ICWSM Workshops 2021 - [c20]Jinyang Li, Runyu Ma, Vikram Sharma Mailthody, Colin Samplawski, Benjamin M. Marlin, Songqing Chen, Shuochao Yao, Tarek F. Abdelzaher:
Towards an Accurate Latency Model for Convolutional Neural Network Layers on GPUs. MILCOM 2021: 904-909 - [c19]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. SIGIR 2021: 163-172 - 2020
- [c18]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. ASONAM 2020: 81-88 - [c17]Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek F. Abdelzaher:
Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks. ICCCN 2020: 1-11 - [c16]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. RTCSA 2020: 1-10 - [c15]Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher:
Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. SenSys 2020: 476-488 - 2019
- [c14]Junjie Wang, Peng Xu, Jinyang Li, Xiaoshan Sun, Wenchong Tian, Jie Ling, Wei Zheng, Hengchang Liu:
Towards an Efficient Cyber-Physical System for First-Mile Taxi Transit in Urban Complex. HASE 2019: 9-16 - [c13]Shuochao Yao, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Stardust: A deep learning serving system in IoT: demo abstract. SenSys 2019: 402-403 - [c12]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 2019: 2192-2202 - 2018
- [c11]Qi Liu, Jinyang Li, Xiaoshan Sun, Junjie Wang, Yang Ning, Wei Zheng, Jian Li, Hengchang Liu:
Towards an Efficient and Real-Time Scheduling Platform for Mobile Charging Vehicles. ICA3PP (3) 2018: 402-416 - [c10]Peng Xu, Xiaoshan Sun, Junjie Wang, Jinyang Li, Wei Zheng, Hengchang Liu:
Dynamic pricing at electric vehicle charging stations for waiting time reduction. ICCIP 2018: 204-211 - [c9]Yang Ning, Yang Huang, Jinyang Li, Qi Liu, Disheng Yang, Wei Zheng, Hengchang Liu:
ST-DRN: Deep Residual Networks for Spatio-Temporal Metro Stations Crowd Flows Forecast. IJCNN 2018: 1-8 - [c8]Jinyang Li, Zhiheng Xie, Xiaoshan Sun, Jian Tang, Hengchang Liu, John A. Stankovic:
An Automatic and Accurate Localization System for Firefighters. IoTDI 2018: 13-24 - [c7]Jinyang Li, Xiaoshan Sun, Qi Liu, Wei Zheng, Hengchang Liu, John A. Stankovic:
Planning Electric Vehicle Charging Stations Based on User Charging Behavior. IoTDI 2018: 225-236 - [c6]Qi Liu, Jinyang Li, Xiaoshan Sun, Peng Xu, Junjie Wang, Wei Zheng, Jian Li, Hengchang Liu:
Planning Mobile Charging Vehicles Based on User Charging Behavior. IoPARTS@MobiSys 2018: 37-42 - [c5]Jinyang Li, Tingzhi Li, Xiaoshan Sun, Peng Xu, Junjie Wang, Qi Liu, Wei Zheng, Jian Li, Hengchang Liu:
Towards Accurate and Real-time Information Extrapolation on Charging Pile Network. IoPARTS@MobiSys 2018: 43-48 - 2017
- [c4]Disheng Yang, Jian Tang, Yang Huang, Chao Xu, Jinyang Li, Liang Hu, Guobin Shen, Chieh-Jan Mike Liang, Hengchang Liu:
TennisMaster: an IMU-based online serve performance evaluation system. AH 2017: 17 - [c3]Peng Xu, Jinyang Li, Xiaoshan Sun, Wei Zheng, Hengchang Liu:
Dynamic Pricing at Electric Vehicle Charging Stations for Queueing Delay Reduction. ICDCS 2017: 2565-2566 - [c2]Junjie Wang, Jinyang Li, Tianshu Pang, Xiaoshan Sun, Qi Liu, Hengchang Liu:
Towards a holistic and optimized framework for smart grid regulation. IPCCC 2017: 1-8 - 2016
- [c1]Xiaoshan Sun, Jinyang Li, Wei Zheng, Hengchang Liu:
Towards a Sustainable Incentive Mechanism for Participatory Sensing. IoTDI 2016: 49-60
Informal and Other Publications
- 2024
- [i10]Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher:
SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR abs/2402.02275 (2024) - [i9]Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani B. Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher:
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR abs/2404.02461 (2024) - 2023
- [i8]Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher:
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. CoRR abs/2310.20071 (2023) - 2021
- [i7]Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher:
DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. CoRR abs/2106.03251 (2021) - [i6]Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher:
Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR abs/2110.00210 (2021) - 2020
- [i5]Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher:
Disentangling Overlapping Beliefs by Structured Matrix Factorization. CoRR abs/2002.05797 (2020) - [i4]Chao Xu, Jinyang Li, Tarek F. Abdelzaher, Heng Ji, Boleslaw K. Szymanski, John Dellaverson:
The Paradox of Information Access: On Modeling Social-Media-Induced Polarization. CoRR abs/2004.01106 (2020) - [i3]Tarek F. Abdelzaher, Heng Ji, Jinyang Li, Chaoqi Yang, John Dellaverson, Lixia Zhang, Chao Xu, Boleslaw K. Szymanski:
The Paradox of Information Access: Growing Isolation in the Age of Sharing. CoRR abs/2004.01967 (2020) - [i2]Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher:
Scheduling Real-time Deep Learning Services as Imprecise Computations. CoRR abs/2011.01112 (2020) - 2019
- [i1]Shuochao Yao, Ailing Piao, Wenjun Jiang, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Jinyang Li, Tianshi Wang, Shaohan Hu, Lu Su, Jiawei Han, Tarek F. Abdelzaher:
STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR abs/1902.07849 (2019)
Coauthor Index
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