Search Results for author: Yuyang Du

Found 10 papers, 1 papers with code

LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery

no code implementations26 Feb 2024 Kexin Chen, Yuyang Du, Tao You, Mobarakol Islam, Ziyu Guo, Yueming Jin, Guangyong Chen, Pheng-Ann Heng

We further design an adaptive weight assignment approach that balances the generalization ability of the LLM and the domain expertise of the old CL model.

Continual Learning Language Modelling +3

An Autonomous Large Language Model Agent for Chemical Literature Data Mining

no code implementations20 Feb 2024 Kexin Chen, Hanqun Cao, Junyou Li, Yuyang Du, Menghao Guo, Xin Zeng, Lanqing Li, Jiezhong Qiu, Pheng Ann Heng, Guangyong Chen

The proposed approach marks a significant advancement in automating chemical literature extraction and demonstrates the potential for AI to revolutionize data management and utilization in chemistry.

Drug Discovery Language Modelling +2

LLMind: Orchestrating AI and IoT with LLM for Complex Task Execution

no code implementations14 Dec 2023 Hongwei Cui, Yuyang Du, Qun Yang, Yulin Shao, Soung Chang Liew

The exploration of large language models (LLMs) for task planning and IoT automation has recently gained significant attention.

Nonlinear Multi-Carrier System with Signal Clipping: Measurement, Analysis, and Optimization

no code implementations1 Oct 2023 Yuyang Du, Liang Hao, Yiming Lei, Qun Yang, Shiqi Xu

With the derivations, we investigate the optimal system setting to achieve the SER lower bound in a practical OFDM system that considers both PA nonlinearity and clipping distortion.

The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms

no code implementations14 Jul 2023 Yuyang Du, Soung Chang Liew, Kexin Chen, Yulin Shao

We begin by exploring LLM-assisted code refactoring, reuse, and validation, using an open-source software-defined radio (SDR) project as a case study.

In-Context Learning Scheduling

Consistency of Implicit and Explicit Features Matters for Monocular 3D Object Detection

no code implementations16 Jul 2022 Qian Ye, Ling Jiang, Wang Zhen, Yuyang Du

This paper studies 3D intermediate representation methods which generate intermediate 3D features for subsequent tasks.

 Ranked #1 on Monocular 3D Object Detection on KITTI Cars Moderate (using extra training data)

Autonomous Driving Monocular 3D Object Detection +1

Efficient FFT Computation in IFDMA Transceivers

no code implementations5 Mar 2022 Yuyang Du, Soung Chang Liew, Yulin Shao

Our experimental results indicate that when the number of hardware processors is a power of two: 1) MPS-FFT has near-optimal computation time; 2) MPS-FFT incurs less than 44. 13\% of the computation time of the conventional pipelined FFT.

Scheduling

Flow Sampling: Network Monitoring in Large-Scale Software-Defined IoT Networks

no code implementations21 Jul 2020 Yulin Shao, Soung Chang Liew, He Chen, Yuyang Du

Software-defined Internet-of-Things networking (SDIoT) greatly simplifies the network monitoring in large-scale IoT networks by per-flow sampling, wherein the controller keeps track of all the active flows in the network and samples the IoT devices on each flow path to collect real-time flow statistics.

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