We stand with Ukraine

We stand with Ukraine

Ziqi Tan

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Ziqi Tang

Bibliography

2026

Self-Adaptive Pseudo-Resistors Enabling Millisecond-Level Artifact Recovery and High-Linearity for Neural Recording Front-Ends.

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IEEE Trans. Biomed. Circuits Syst., April, 2026

CarbonEdge: Carbon-Aware Deep Learning Inference Framework for Sustainable Edge Computing.

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CoRR, March, 2026

2025

Readout-Side Bypass for Residual Hybrid Quantum-Classical Models.

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CoRR, November, 2025

AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes.

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Srinivas Vippagunta

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Raghavendra Nandagopal

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Marcus Pfeiffer

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Shreeshankar Chatterjee

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CoRR, July, 2025

QuST: Optimizing Quantum Neural Network Against Spatial and Temporal Noise Biases.

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IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., April, 2025

Efficient Self-Adaptive Pseudo-Resistor with Rapid Settling and High Linearity for Neurorecording Front-End Circuits.

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

Implantable Closed-loop Neuromodulation Platform Dedicated to Diabetes Diagnosis and Treatment.

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Razieh Eskandari

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S. Abdollah Mirbozorgi

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Proceedings of the IEEE International Symposium on Circuits and Systems, 2025

KIS-S: A GPU-Aware Kubernetes Inference Simulator with RL-Based Auto-Scaling.

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Proceedings of the IEEE International Performance, 2025

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments.

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Proceedings of the 10th International Conference on Fog and Mobile Edge Computing, 2025

Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments.

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Proceedings of the 2025 Computing, 2025

Serverless GPU Architecture for Enterprise HR Analytics: A Production-Scale BDaaS Implementation.

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Srinivas Vippagunta

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Shreeshankar Chatterjee

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Mary Schladenhauffen

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Proceedings of the IEEE International Conference on Big Data, 2025

A Reconfigurable 8-Channel Dual-Mode Neural Stimulator with High-Voltage Compliance and 97% Efficiency.

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Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems, 2025

2024

VSAFL: Verifiable and Secure Aggregation With (Poly) Logarithmic Overhead in Federated Learning.

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IEEE Internet Things J., December, 2024

Probing many-body Bell correlation depth with superconducting qubits.

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CoRR, 2024

Design of a Dynamic Monitoring and Early Intervention System for Left-Behind Children's Learning Power.

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Proceedings of the 2024 9th International Conference on Intelligent Information Processing, 2024

Error Tolerance in Automatic Short Answer Grading with Large Language Models: The Case of Handwriting Recognition Errors.

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Proceedings of the Proceeding of the 32nd International Conference on Computers in Education, 2024

2023

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey for AI.

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IEEE Trans. Knowl. Data Eng., July, 2023

QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features.

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Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture, 2023

2022

Uncovering Causal Effects of Online Short Videos on Consumer Behaviors.

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Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Edge-Cloud Polarization and Collaboration: A Comprehensive Survey.

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CoRR, 2021

Grounded, Controllable and Debiased Image Completion With Lexical Semantics.

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Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Grounded and Controllable Image Completion by Incorporating Lexical Semantics.

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CoRR, 2020

Poet: Product-oriented Video Captioner for E-commerce.

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Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Comprehensive Information Integration Modeling Framework for Video Titling.

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Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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