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Shengzhong Liu

Tenure-Track Associate Professor

Shanghai Jiao Tong University

China

Research Interests

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Articles (20)

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2026

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2024

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2023

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2023

Collaborators (3)

Xiaomin Ouyang

Assistant Professor

The Hong Kong University of Science and Technology

CHINA

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Tarek Abdelzaher

University of Illinois at Urbana-Champaign

UNITED STATES

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Shuochao Yao

George Mason University

UNITED STATES

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ApplyKite TwinLearns as you apply

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Shengzhong Liu

Research Interests

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Articles (20)

TokenFlow: Responsive LLM Text Streaming Serving under Request Burst via Preemptive Scheduling

CoSR: Real-Time Super-Resolution for Mobile Video Conference via Inter-Processor Collaboration

C 2 KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference

RouteGoT: Node-Adaptive Routing for Cost-Efficient Graph of Thoughts Reasoning

Vistar: Enhancing the Perception Capability of LLMs under Imprecise IMU-Text Alignment

Learning Noise-Resilient and Transferable Graph-Text Alignment via Dynamic Quality Assessment

MACRA: Efficient Knowledge Sharing among Personalized Models against Label Shift in Mobile AI Applications

AutoMOCHA: Automated Adaptation Hierarchy for Mobile Video Analytics Against Domain Shifts

OpenMAE: Efficient Masked Autoencoder for Vibration Sensing with Open-domain Data Enrichment

Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations

InfoMAE: Pair-Efficient Cross-Modal Alignment for Multimodal Time-Series Sensing Signals

ABO: Abandon Bayer Filter for Adaptive Edge Offloading in Responsive Augmented Reality

Enabling Real-Time Inference in Online Continual Learning via Device-Cloud Collaboration

SemiCMT: Contrastive Cross-Modal Knowledge Transfer for IoT Sensing with Semi-Paired Multi-Modal Signals

PhyMask: An Adaptive Masking Paradigm for Efficient Self-Supervised Learning in IoT

MetaHKG: Meta Hyperbolic Learning for Few-shot Temporal Reasoning

TGOnline: Enhancing Temporal Graph Learning with Adaptive Online Meta-Learning

FreqMAE: Frequency-Aware Masked Autoencoder for Multi-Modal IoT Sensing

SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach

Generalized self-cueing real-time attention scheduling with intermittent inspection and image resizing

Collaborators (3)

Xiaomin Ouyang

Tarek Abdelzaher

Shuochao Yao

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