Shengzhong Liu

95 papers A* 16A 12B 9C 1Misc 6Journal 44Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoMOCHA: Automated Adaptation Hierarchy for Mobile Video Analytics Against Domain Shifts. IEEE Trans. Mob. Comput. Maozhe Zhao, Rui Shen, Shengzhong Liu, Fan Wu, Guihai Chen
2026	J	`jnl`	RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning. CoRR Yuhang Liu, Ruijie Wang, Yunlong Chu, Bing Hao, Yumeng Lin, Shengzhong Liu, Minglai Shao
2026	J	`jnl`	SmartThinker: Progressive Chain-of-Thought Length Calibration for Efficient Large Language Model Reasoning. CoRR Chenzhi Hu, Qinzhe Hu, Yuhang Xu, Junyi Chen, Ruijie Wang, Shengzhong Liu, Jianxin Li, Fan Wu, Guihai Chen
2026	A	`conf`	TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling. EuroSys Junyi Chen, Chuheng Du, Renyuan Liu, Shuochao Yao, Dingtian Yan, Jiang Liao, Shengzhong Liu, Fan Wu, Guihai Chen
2026	—	`conf`	Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment. KDD (1) Yatong Chen, Chenzhi Hu, Bowen He, Ruijie Wang, Xiaomin Ouyang, Shengzhong Liu, Jianxin Li, Fan Wu, Guihai Chen
2025	A*	`conf`	ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality. WWW Yongxuan Han, Shengzhong Liu, Fan Wu, Guihai Chen
2025	J	`jnl`	ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality. CoRR Yongxuan Han, Shengzhong Liu, Fan Wu, Guihai Chen
2025	A	`conf`	Distributed DNN-based Video Analytics with Adaptive Multi-Device Collaboration. ICDCS Zhihao Xu, Maozhe Zhao, Qinya Li, Shengzhong Liu, Fan Wu, Guihai Chen
2025	A*	`conf`	Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration. WWW Haibo Liu, Chen Gong, Zhenzhe Zheng, Shengzhong Liu, Fan Wu
2025	A*	`conf`	InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. WWW Tomoyoshi Kimura, Xinlin Li, Osama A. Hanna, Yatong Chen, Yizhuo Chen, Denizhan Kara, Tianshi Wang, Jinyang Li, Xiaomin Ouyang, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher
2025	J	`jnl`	InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals. CoRR Tomoyoshi Kimura, Xinlin Li, Osama A. Hanna, Yatong Chen, Yizhuo Chen, Denizhan Kara, Tianshi Wang, Jinyang Li, Xiaomin Ouyang, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher
2025	J	`jnl`	Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment. CoRR Yuhang Liu, Minglai Shao, Zengyi Wo, Yunlong Chu, Bing Hao, Shengzhong Liu, Ruijie Wang, Jianxin Li
2025	A	`conf`	Nova: Real-Time Agentic Vision-Language Model Serving With Adaptive Cross-Stage Parallelization. RTSS Yuhang Xu, Shengzhong Liu, Dong Zhang, Bingheng Yan, Fan Wu, Guihai Chen
2025	J	`jnl`	Nova: Real-Time Agentic Vision-Language Model Serving with Adaptive Cross-Stage Parallelization. CoRR Yuhang Xu, Shengzhong Liu, Dong Zhang, Bingheng Yan, Fan Wu, Guihai Chen
2025	J	`jnl`	OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Chenzhi Hu, Yatong Chen, Denizhan Kara, Shengzhong Liu, Tarek F. Abdelzaher, Fan Wu, Guihai Chen
2025	J	`jnl`	Pre CoRR Junyi Chen, Shihao Bai, Zaijun Wang, Siyu Wu, Chuheng Du, Hailong Yang, Ruihao Gong, Shengzhong Liu, Fan Wu, Guihai Chen
2025	—	`conf`	Pre³: Enabling Deterministic Pushdown Automata for Faster Structured LLM Generation. ACL (1) Junyi Chen, Shihao Bai, Zaijun Wang, Siyu Wu, Chuheng Du, Hailong Yang, Ruihao Gong, Shengzhong Liu, Fan Wu, Guihai Chen
2025	Misc	`conf`	Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations. SenSys Maozhe Zhao, Shengzhong Liu, Fan Wu, Guihai Chen
2025	J	`jnl`	Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations. CoRR Maozhe Zhao, Shengzhong Liu, Fan Wu, Guihai Chen
2025	J	`jnl`	TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling. CoRR Junyi Chen, Chuheng Du, Renyuan Liu, Shuochao Yao, Dingtian Yan, Jiang Liao, Shengzhong Liu, Fan Wu, Guihai Chen
2024	A	`conf`	Algorithms for Canvas-Based Attention Scheduling with Resizing. RTAS Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek F. Abdelzaher
2024	J	`jnl`	Digital Twin Model for Lithium-Ion Battery SOC Estimation in Battery Swapping Station. IEEE Access Ruopeng Wu, Ying Shi, Qin Hu, Changjun Xie, Jicheng Yu, Boyang Ma, Shengzhong Liu
2024	A	`conf`	FLEX: Adaptive Task Batch Scheduling with Elastic Fusion in Multi-Modal Multi-View Machine Perception. RTSS Yuhang Xu, Zixuan Liu, Xinzhe Fu, Shengzhong Liu, Fan Wu, Guihai Chen
2024	A*	`conf`	FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing. WWW Denizhan Kara, Tomoyoshi Kimura, Shengzhong Liu, Jinyang Li, Dongxin Liu, Tianshi Wang, Ruijie Wang, Yizhuo Chen, Yigong Hu, Tarek F. Abdelzaher
2024	A*	`conf`	MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning. SIGIR Ruijie Wang, Yutong Zhang, Jinyang Li, Shengzhong Liu, Dachun Sun, Tianchen Wang, Tianshi Wang, Yizhuo Chen, Denizhan Kara, Tarek F. Abdelzaher
2024	J	`jnl`	On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study. CoRR Tomoyoshi Kimura, Jinyang Li, Tianshi Wang, Denizhan Kara, Yizhuo Chen, Yigong Hu, Ruijie Wang, Maggie B. Wigness, Shengzhong Liu, Mani Srivastava, Suhas N. Diggavi, Tarek F. Abdelzaher
2024	Misc	`conf`	PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT. SenSys Denizhan Kara, Tomoyoshi Kimura, Yatong Chen, Jinyang Li, Ruijie Wang, Yizhuo Chen, Tianshi Wang, Shengzhong Liu, Tarek F. Abdelzaher
2024	J	`jnl`	SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Yatong Chen, Chenzhi Hu, Tomoyoshi Kimura, Qinya Li, Shengzhong Liu, Fan Wu, Guihai Chen
2024	J	`jnl`	SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. CoRR Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher
2024	A*	`conf`	TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning. SIGIR Ruijie Wang, Jingyuan Huang, Yutong Zhang, Jinyang Li, Yufeng Wang, Wanyu Zhao, Shengzhong Liu, Charith Mendis, Tarek F. Abdelzaher
2024	J	`jnl`	Taming Algorithmic Priority Inversion in Mission-Critical Perception Pipelines. Commun. ACM Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher
2023	J	`jnl`	DeepStream: Bandwidth Efficient Multi-Camera Video Streaming for Deep Learning Analytics. CoRR Hongpeng Guo, Beitong Tian, Zhe Yang, Bo Chen, Qian Zhou, Shengzhong Liu, Klara Nahrstedt, Claudiu Danilov
2023	A*	`conf`	FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. NeurIPS Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher
2023	J	`jnl`	FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space. CoRR Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas N. Diggavi, Mani B. Srivastava, Tarek F. Abdelzaher
2023	J	`jnl`	Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing. Real Time Syst. Shengzhong Liu, Xinzhe Fu, Yigong Hu, Maggie B. Wigness, Philip David, Shuochao Yao, Lui Sha, Tarek F. Abdelzaher
2023	—	`conf`	Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. ACL (Findings) Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2023	J	`jnl`	Noisy Positive-Unlabeled Learning with Self-Training for Speculative Knowledge Graph Reasoning. CoRR Ruijie Wang, Baoyu Li, Yichen Lu, Dachun Sun, Jinning Li, Yuchen Yan, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2023	Misc	`conf`	SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach. SenSys Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Viros-i-Martin, Raghu K. Ganti, Mudhakar Srivatsa, Tarek F. Abdelzaher
2023	B	`conf`	TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-Limited IoT Applications. ICCCN 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
2023	B	`conf`	Underprovisioned GPUs: On Sufficient Capacity for Real-Time Mission-Critical Perception. ICCCN Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek F. Abdelzaher
2023	A	`conf`	Work-in-Progress: Algorithms for Canvas-Based Attention Scheduling with Resizing. RTSS Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek F. Abdelzaher
2022	A*	`conf`	AdaMask: Enabling Machine-Centric Video Streaming with Adaptive Frame Masking for DNN Inference Offloading. ACM Multimedia Shengzhong Liu, Tianshi Wang, Jinyang Li, Dachun Sun, Mani B. Srivastava, Tarek F. Abdelzaher
2022	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Huajie Shao, Zhisheng Xiao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
2022	—	`conf`	DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows. ApPLIED@PODC Ragini Gupta, Bo Chen, Shengzhong Liu, Tianshi Wang, Sandeep Singh Sandha, Abel Souza, Klara Nahrstedt, Tarek F. Abdelzaher, Mani B. Srivastava, Prashant J. Shenoy, Jeffrey Smith, Maggie B. Wigness, Niranjan Suri
2022	B	`conf`	IoBT-OS: Optimizing the Sensing-to-Decision Loop for the Internet of Battlefield Things. ICCCN 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
2022	A*	`conf`	Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. NeurIPS Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher
2022	J	`jnl`	Learning to Sample and Aggregate: Few-shot Reasoning over Temporal Knowledge Graphs. CoRR Ruijie Wang, Zheng Li, Dachun Sun, Shengzhong Liu, Jinning Li, Bing Yin, Tarek F. Abdelzaher
2022	A	`conf`	Multi-View Scheduling of Onboard Live Video Analytics to Minimize Frame Processing Latency. ICDCS Shengzhong Liu, Tianshi Wang, Hongpeng Guo, Xinzhe Fu, Philip David, Maggie B. Wigness, Archan Misra, Tarek F. Abdelzaher
2022	J	`jnl`	Real-Time Task Scheduling for Machine Perception in Intelligent Cyber-Physical Systems. IEEE Trans. Computers Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Huajie Shao, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher
2022	J	`jnl`	Real-time task scheduling with image resizing for criticality-based machine perception. Real Time Syst. Yigong Hu, Shengzhong Liu, Tarek F. Abdelzaher, Maggie B. Wigness, Philip David
2022	A	`conf`	Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception. RTAS Shengzhong Liu, Xinzhe Fu, Maggie B. Wigness, Philip David, Shuochao Yao, Lui Sha, Tarek F. Abdelzaher
2022	—	`conf`	The Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example. MILCOM Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek F. Abdelzaher, Brian Jalaian
2022	A*	`conf`	Unsupervised Belief Representation Learning with Information-Theoretic Variational Graph Auto-Encoders. SIGIR Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2021	J	`jnl`	Audio Keyword Reconstruction from On-Device Motion Sensor Signals via Neural Frequency Unfolding. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Tianshi Wang, Shuochao Yao, Shengzhong Liu, Jinyang Li, Dongxin Liu, Huajie Shao, Ruijie Wang, Tarek F. Abdelzaher
2021	J	`jnl`	Computational Modeling of Hierarchically Polarized Groups by Structured Matrix Factorization. Frontiers Big Data Dachun Sun, Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
2021	B	`conf`	Contrastive Self-Supervised Representation Learning for Sensing Signals from the Time-Frequency Perspective. ICCCN Dongxin Liu, Tianshi Wang, Shengzhong Liu, Ruijie Wang, Shuochao Yao, Tarek F. Abdelzaher
2021	J	`jnl`	Deep Compressive Offloading: Speeding Up Edge Offloading for AI Services. GetMobile Mob. Comput. Commun. Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher
2021	A*	`conf`	DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. SIGIR Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher
2021	J	`jnl`	DyDiff-VAE: A Dynamic Variational Framework for Information Diffusion Prediction. CoRR Ruijie Wang, Zijie Huang, Shengzhong Liu, Huajie Shao, Dongxin Liu, Jinyang Li, Tianshi Wang, Dachun Sun, Shuochao Yao, Tarek F. Abdelzaher
2021	J	`jnl`	LiDAR Cluster First and Camera Inference Later: A New Perspective Towards Autonomous Driving. CoRR Jiyang Chen, Simon Yu, Rohan Tabish, Ayoosh Bansal, Shengzhong Liu, Tarek F. Abdelzaher, Lui Sha
2021	—	`conf`	On Exploring Attention-based Explanation for Transformer Models in Text Classification. IEEE BigData Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher
2021	B	`conf`	On Exploring Image Resizing for Optimizing Criticality-based Machine Perception. RTCSA Yigong Hu, Shengzhong Liu, Tarek F. Abdelzaher, Maggie B. Wigness, Philip David
2021	J	`jnl`	Truth Discovery With Multi-Modal Data in Social Sensing. IEEE Trans. Computers Huajie Shao, Dachun Sun, Shuochao Yao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher
2021	J	`jnl`	Unsupervised Belief Representation Learning in Polarized Networks with Information-Theoretic Variational Graph Auto-Encoders. CoRR Jinning Li, Huajie Shao, Dachun Sun, Ruijie Wang, Yuchen Yan, Jinyang Li, Shengzhong Liu, Hanghang Tong, Tarek F. Abdelzaher
2020	A*	`conf`	ControlVAE: Controllable Variational Autoencoder. ICML Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
2020	J	`jnl`	ControlVAE: Tuning, Analytical Properties, and Performance Analysis. CoRR Huajie Shao, Zhisheng Xiao, Shuochao Yao, Aston Zhang, Shengzhong Liu, Tarek F. Abdelzaher
2020	J	`jnl`	Controllable Variational Autoencoder. CoRR Huajie Shao, Shuochao Yao, Dachun Sun, Aston Zhang, Shengzhong Liu, Dongxin Liu, Jun Wang, Tarek F. Abdelzaher
2020	Misc	`conf`	Deep compressive offloading: speeding up neural network inference by trading edge computation for network latency. SenSys Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Shengzhong Liu, Huajie Shao, Tarek F. Abdelzaher
2020	J	`jnl`	Disentangling Overlapping Beliefs by Structured Matrix Factorization. CoRR Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
2020	J	`jnl`	GIobalFusion: A Global Attentional Deep Learning Framework for Multisensor Information Fusion. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shengzhong Liu, Shuochao Yao, Jinyang Li, Dongxin Liu, Tianshi Wang, Huajie Shao, Tarek F. Abdelzaher
2020	J	`jnl`	Handling Missing Sensors in Topology-Aware IoT Applications with Gated Graph Neural Network. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shengzhong Liu, Shuochao Yao, Yifei Huang, Dongxin Liu, Huajie Shao, Yiran Zhao, Jinyang Li, Tianshi Wang, Ruijie Wang, Chaoqi Yang, Tarek F. Abdelzaher
2020	B	`conf`	Hierarchical Overlapping Belief Estimation by Structured Matrix Factorization. ASONAM Chaoqi Yang, Jinyang Li, Ruijie Wang, Shuochao Yao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Tarek F. Abdelzaher
2020	B	`conf`	Misinformation Detection and Adversarial Attack Cost Analysis in Directional Social Networks. ICCCN Huajie Shao, Shuochao Yao, Andong Jing, Shengzhong Liu, Dongxin Liu, Tianshi Wang, Jinyang Li, Chaoqi Yang, Ruijie Wang, Tarek F. Abdelzaher
2020	J	`jnl`	Multiscale online media simulation with SocialCube. Comput. Math. Organ. Theory Tarek F. Abdelzaher, Jiawei Han, Yifan Hao, Andong Jing, Dongxin Liu, Shengzhong Liu, Hoang Hai Nguyen, David M. Nicol, Huajie Shao, Tianshi Wang, Shuochao Yao, Yu Zhang, Omar Malik, Stephen Dipple, James Flamino, Fred Buchanan, Sam Cohen, György Korniss, Boleslaw K. Szymanski
2020	A	`conf`	On Removing Algorithmic Priority Inversion from Mission-critical Machine Inference Pipelines. RTSS Shengzhong Liu, Shuochao Yao, Xinzhe Fu, Rohan Tabish, Simon Yu, Ayoosh Bansal, Heechul Yun, Lui Sha, Tarek F. Abdelzaher
2020	J	`jnl`	Revisiting "Over-smoothing" in Deep GCNs. CoRR Chaoqi Yang, Ruijie Wang, Shuochao Yao, Shengzhong Liu, Tarek F. Abdelzaher
2020	B	`conf`	Scheduling Real-time Deep Learning Services as Imprecise Computations. RTCSA Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
2020	J	`jnl`	Scheduling Real-time Deep Learning Services as Imprecise Computations. CoRR Shuochao Yao, Yifan Hao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Tianshi Wang, Jinyang Li, Tarek F. Abdelzaher
2020	A*	`conf`	paper2repo: GitHub Repository Recommendation for Academic Papers. WWW Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
2020	J	`jnl`	paper2repo: GitHub Repository Recommendation for Academic Papers. CoRR Huajie Shao, Dachun Sun, Jiahao Wu, Zecheng Zhang, Aston Zhang, Shuochao Yao, Shengzhong Liu, Tianshi Wang, Chao Zhang, Tarek F. Abdelzaher
2019	A	`conf`	A Latent Hawkes Process Model for Event Clustering and Temporal Dynamics Learning with Applications in GitHub. ICDCS Shengzhong Liu, Shuochao Yao, Dongxin Liu, Huajie Shao, Yiran Zhao, Xinzhe Fu, Tarek F. Abdelzaher
2019	A	`conf`	Eugene: Towards Deep Intelligence as a Service. ICDCS Shuochao Yao, Kasthuri Jayarajah, Archan Misra, Tarek F. Abdelzaher, Yifan Hao, Yiran Zhao, Ailing Piao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Shaohan Hu, Dulanga Weerakoon
2019	—	`conf`	GreenRoute: A Generalizable Fuel-Saving Vehicular Navigation Service. ICAC Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu
2019	A*	`conf`	SADeepSense: Self-Attention Deep Learning Framework for Heterogeneous On-Device Sensors in Internet of Things Applications. INFOCOM Shuochao Yao, Yiran Zhao, Huajie Shao, Dongxin Liu, Shengzhong Liu, Yifan Hao, Ailing Piao, Shaohan Hu, Su Lu, Tarek F. Abdelzaher
2019	A*	`conf`	STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. WWW 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
2019	J	`jnl`	STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks. CoRR 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
2019	B	`conf`	Simulation Evaluation of Fuel-Saving Systems in the City of Chicago. ICCCN Yiran Zhao, Shuochao Yao, Dongxin Liu, Huajie Shao, Shengzhong Liu, Tarek F. Abdelzaher
2019	C	`conf`	Unsupervised Fact-finding with Multi-modal Data in Social Sensing. FUSION Huajie Shao, Shuochao Yao, Yiran Zhao, Lu Su, Zhibo Wang, Dongxin Liu, Shengzhong Liu, Lance M. Kaplan, Tarek F. Abdelzaher
2018	Misc	`conf`	A predictive Self-Configuring Simulator for Online Media. WSC Shuochao Yao, Yifan Hao, Dongxin Liu, Shengzhong Liu, Huajie Shao, Jiahao Wu, Mouna Bamba, Tarek F. Abdelzaher, James Flamino, Boleslaw K. Szymanski
2018	A	`conf`	ApDeepSense: Deep Learning Uncertainty Estimation without the Pain for IoT Applications. ICDCS Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
2018	Misc	`conf`	FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. SenSys Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher
2018	J	`jnl`	FastDeepIoT: Towards Understanding and Optimizing Neural Network Execution Time on Mobile and Embedded Devices. CoRR Shuochao Yao, Yiran Zhao, Huajie Shao, Shengzhong Liu, Dongxin Liu, Lu Su, Tarek F. Abdelzaher
2018	J	`jnl`	SenseGAN: Enabling Deep Learning for Internet of Things with a Semi-Supervised Framework. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. Shuochao Yao, Yiran Zhao, Huajie Shao, Chao Zhang, Aston Zhang, Shaohan Hu, Dongxin Liu, Shengzhong Liu, Lu Su, Tarek F. Abdelzaher
2017	A*	`conf`	Context-aware data quality estimation in mobile crowdsensing. INFOCOM Shengzhong Liu, Zhenzhe Zheng, Fan Wu, Shaojie Tang, Guihai Chen
2015	J	`jnl`	Indoor scene understanding via monocular RGB-D images. Inf. Sci. Yanxiang Chen, Daru Pan, Yifei Pan, Shengzhong Liu, Aihua Gu, Meng Wang