Search Results for author: Pengyu Zhao

Found 5 papers, 0 papers with code

An In-depth Survey of Large Language Model-based Artificial Intelligence Agents

no code implementations23 Sep 2023 Pengyu Zhao, Zijian Jin, Ning Cheng

Due to the powerful capabilities demonstrated by large language model (LLM), there has been a recent surge in efforts to integrate them with AI agents to enhance their performance.

Language Modelling Large Language Model

DAIS: Automatic Channel Pruning via Differentiable Annealing Indicator Search

no code implementations4 Nov 2020 Yushuo Guan, Ning Liu, Pengyu Zhao, Zhengping Che, Kaigui Bian, Yanzhi Wang, Jian Tang

The convolutional neural network has achieved great success in fulfilling computer vision tasks despite large computation overhead against efficient deployment.

Neural Architecture Search

Differentiable Feature Aggregation Search for Knowledge Distillation

no code implementations ECCV 2020 Yushuo Guan, Pengyu Zhao, Bingxuan Wang, Yuanxing Zhang, Cong Yao, Kaigui Bian, Jian Tang

To tackle with both the efficiency and the effectiveness of knowledge distillation, we introduce the feature aggregation to imitate the multi-teacher distillation in the single-teacher distillation framework by extracting informative supervision from multiple teacher feature maps.

Knowledge Distillation Model Compression +1

AMEIR: Automatic Behavior Modeling, Interaction Exploration and MLP Investigation in the Recommender System

no code implementations10 Jun 2020 Pengyu Zhao, Kecheng Xiao, Yuanxing Zhang, Kaigui Bian, Wei Yan

Specifically, AMEIR divides the complete recommendation models into three stages of behavior modeling, interaction exploration, MLP aggregation, and introduces a novel search space containing three tailored subspaces that cover most of the existing methods and thus allow for searching better models.

Feature Engineering Neural Architecture Search +1

Reprojection R-CNN: A Fast and Accurate Object Detector for 360° Images

no code implementations27 Jul 2019 Pengyu Zhao, Ansheng You, Yuanxing Zhang, Jiaying Liu, Kaigui Bian, Yunhai Tong

Specifically, we adapt the terminologies of the traditional object detection task to the omnidirectional scenarios, and propose a novel two-stage object detector, i. e., Reprojection R-CNN by combining both ERP and perspective projection.

Object object-detection +2

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