activity
20192026
most citedShare the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

14 citations · 30 across the 10 of their papers we have counts for

collaborators

11 papers

cs.NI2026

Real-Time Cross-Layer Semantic Error Correction Using Language Models and Software-Defined Radio

Yuchen Pan, Yuyang Du, Yirun Wang +3

As Language Models (LMs) advance, Semantic Error Correction (SEC) has emerged as a promising approach for reliable network designs. Yet existing methods prioritize intent over accu…

cs.IT2026★ 1 cited

CL-SEC: Cross-Layer Semantic Error Correction Empowered by Language Models

Yirun Wang, Yuyang Du, Soung Chang Liew +3

Achieving reliable communication has long been a fundamental challenge in networked systems. Semantic Error Correction (SEC) leverages the semantic understanding capabilities of la…

cs.RO2025

A Hybrid TDMA/CSMA Protocol for Time-Sensitive Traffic in Robot Applications

Shiqi Xu, Lihao Zhang, Yuyang Du +2

Recent progress in robotics has underscored the demand for real-time control in applications such as manufacturing, healthcare, and autonomous systems, where the timely delivery of…

cs.AR2025

VeriRAG: A Retrieval-Augmented Framework for Automated RTL Testability Repair

Haomin Qi, Yuyang Du, Lihao Zhang +3

Large language models (LLMs) have demonstrated immense potential in computer-aided design (CAD), particularly for automated debugging and verification within electronic design auto…

cs.DB2022★ 8 cited

The Tensor Data Platform: Towards an AI-centric Database System

Apurva Gandhi, Yuki Asada, Victor Fu +6

Database engines have historically absorbed many of the innovations in data processing, adding features to process graph data, XML, object oriented, and text among many others. In…

cs.DB2022★ 14 cited

Share the Tensor Tea: How Databases can Leverage the Machine Learning Ecosystem

Yuki Asada, Victor Fu, Apurva Gandhi +8

We demonstrate Tensor Query Processor (TQP): a query processor that automatically compiles relational operators into tensor programs. By leveraging tensor runtimes such as PyTorch,…

cs.NI2022

Reliable Wireless Networking via Soft-Source Information Combining

Lihao Zhang, Soung Chang Liew

This paper puts forth a multi-stream networking paradigm, referred to as soft-source-information-combining (SSIC), to support wireless Internet of Things (IoT) applications with ul…

cs.NI2021

A Just-In-Time Networking Framework for Minimizing Request-Response Latency of Wireless Time-Sensitive Applications

Lihao Zhang, Soung Chang Liew, He Chen

This paper puts forth a networking paradigm, referred to as just-in-time (JIT) communication, to support client-server applications with stringent request-response latency requirem…

cs.CY2021★ 1 cited

Independent Ethical Assessment of Text Classification Models: A Hate Speech Detection Case Study

Amitoj Singh, Jingshu Chen, Lihao Zhang +3

An independent ethical assessment of an artificial intelligence system is an impartial examination of the system's development, deployment, and use in alignment with ethical values…

cs.NI2021★ 4 cited

Speeding up Block Propagation in Blockchain Network: Uncoded and Coded Designs

Lihao Zhang, Taotao Wang, Soung Chang Liew

We design and validate new block propagation protocols for the peer-to-peer (P2P) network of the Bitcoin blockchain. Despite its strong protection for security and privacy, the cur…

cs.IT2019★ 2 cited

Deep Learning for Joint MIMO Detection and Channel Decoding

Taotao Wang, Lihao Zhang, Soung Chang Liew

We propose a deep-learning approach for the joint MIMO detection and channel decoding problem. Conventional MIMO receivers adopt a model-based approach for MIMO detection and chann…