activity
20212023
most citedFiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction

9 citations · 19 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 3 cited

Zero-Shot Learning by Harnessing Adversarial Samples

Zhi Chen, Pengfei Zhang, Jingjing Li +2

Zero-Shot Learning (ZSL) aims to recognize unseen classes by generalizing the knowledge, i.e., visual and semantic relationships, obtained from seen classes, where image augmentati…

cond-mat.quant-gas2022★ 3 cited

Preparing Quantum States by Measurement-feedback Control with Bayesian Optimization

Yadong Wu, Juan Yao, Pengfei Zhang

Preparation of quantum states is of vital importance for performing quantum computations and quantum simulations. In this work, we propose a general framework for preparing ground…

cs.IR2022★ 1 cited

MemoNet: Memorizing All Cross Features' Representations Efficiently via Multi-Hash Codebook Network for CTR Prediction

Pengtao Zhang, Junlin Zhang

New findings in natural language processing (NLP) demonstrate that the strong memorization capability contributes a lot to the success of Large Language Models (LLM). This inspires…

cs.CV2022

FedVMR: A New Federated Learning method for Video Moment Retrieval

Yan Wang, Xin Luo, Zhen-Duo Chen +3

Despite the great success achieved, existing video moment retrieval (VMR) methods are developed under the assumption that data are centralizedly stored. However, in real-world appl…

cs.LG2022★ 3 cited

Self-supervised Graph-based Point-of-interest Recommendation

Yang Li, Tong Chen, Peng-Fei Zhang +2

The exponential growth of Location-based Social Networks (LBSNs) has greatly stimulated the demand for precise location-based recommendation services. Next Point-of-Interest (POI)…

cs.IR2022★ 9 cited

FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction

Pengtao Zhang, Zheng Zheng, Junlin Zhang

Click-Through Rate (CTR) estimation has become one of the most fundamental tasks in many real-world applications and various deep models have been proposed. Some research has prove…

cond-mat.quant-gas2021

Trapping Effects in Quantum Atomic Arrays

Pengfei Zhang

Quantum emitters, particularly atomic arrays with subwavelength lattice constant, have been proposed to be an ideal platform for studying the interplay between photons and electric…