activity
20052025
most citedIRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

568 citations · 2.6k across the 71 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

quant-ph2019★ 136 cited

Realization of nonlinear optical nonreciprocity on a few-photon level based on atoms strongly coupled to an asymmetric cavity

Pengfei Yang, Xiuwen Xia, Hai He +8

Optical nonreciprocity is important in photonic information processing to route the optical signal or prevent the reverse flow of noise. By adopting the strong nonlinearity associa…

cs.CV2019★ 7 cited

FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing

Peng Zhang, Fuhao Zou, Zhiwen Wu +5

Face Anti-spoofing gains increased attentions recently in both academic and industrial fields. With the emergence of various CNN based solutions, the multi-modal(RGB, depth and IR)…

physics.soc-ph2019★ 5 cited

Enhancing the long-term performance of recommender system

Leyang Xue, Peng Zhang, An Zeng

Recommender system is a critically important tool in online commercial system and provide users with personalized recommendation on items. So far, numerous recommendation algorithm…

physics.soc-ph2019★ 6 cited

Predictability of diffusion-based recommender systems

Peng Zhang, Leyang Xue, An Zeng

The recommendation methods based on network diffusion have been shown to perform well in both recommendation accuracy and diversity. Nowdays, numerous extensions have been made to…

cs.CV2019★ 3 cited

Predicting tongue motion in unlabeled ultrasound videos using convolutional LSTM neural network

Chaojie Zhao, Peng Zhang, Jian Zhu +3

A challenge in speech production research is to predict future tongue movements based on a short period of past tongue movements. This study tackles speaker-dependent tongue motion…

cs.CL2019

A Generalized Language Model in Tensor Space

Lipeng Zhang, Peng Zhang, Xindian Ma +3

In the literature, tensors have been effectively used for capturing the context information in language models. However, the existing methods usually adopt relatively-low order ten…