Search Results for author: Di Zhang

Found 14 papers, 2 papers with code

Modeling Randomly Walking Volatility with Chained Gamma Distributions

no code implementations4 Jul 2022 Di Zhang, Qiang Niu, Youzhou Zhou

2) In the case of only using VI, this model can obtain accuracy that are slightly worse than MC, but still acceptable in practice; 3) Only using VI, the running time of Gam-Chain, under the most conservative settings, can be reduced to below 20% of that based on the lognormal chain via MC.

Time Series Variational Inference

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

1 code implementation11 Apr 2022 Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng

However, we observe that GPU devices in training recommender systems are underutilized, and they cannot attain an expected throughput improvement as what it has achieved in CV and NLP areas.

Recommendation Systems

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System

no code implementations28 Mar 2022 Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng

Moreover, to deploy AMCAD in Taobao, one of the largest ecommerce platforms with hundreds of million users, we design an efficient two-layer online retrieval framework for the task of graph based advertisement retrieval.

Graph Embedding Information Retrieval

Juvenile state hypothesis: What we can learn from lottery ticket hypothesis researches?

no code implementations8 Sep 2021 Di Zhang

The original lottery ticket hypothesis performs pruning and weight resetting after training convergence, exposing it to the problem of forgotten learning knowledge and potential high cost of training.

M6-T: Exploring Sparse Expert Models and Beyond

no code implementations31 May 2021 An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

Mixture-of-Experts (MoE) models can achieve promising results with outrageous large amount of parameters but constant computation cost, and thus it has become a trend in model scaling.

Graph Intention Network for Click-through Rate Prediction in Sponsored Search

no code implementations30 Mar 2021 Feng Li, Zhenrui Chen, Pengjie Wang, Yi Ren, Di Zhang, Xiaoyu Zhu

Moreover, it is difficult for user to jump out of their specific historical behaviors for possible interest exploration, namely weak generalization problem.

Click-Through Rate Prediction Graph Learning

SCMA Codebook Design Based on Uniquely Decomposable Constellation Groups

no code implementations27 Feb 2021 Xuewan Zhang, Dalong Zhang, Liuqing Yang, Gangtao Han, Hsiao-Hwa Chen, Di Zhang

Thus, BER performance of the proposed codebook design approach outperforms that of the existing codebook design schemes in both uncoded and coded SCMA systems, especially for large-size codebooks.

Tunable ferroelectricity in hBN intercalated twisted double-layer graphene

no code implementations24 Feb 2021 Yibo Wang, Siqi Jiang, Jingkuan Xiao, Xiaofan Cai, Di Zhang, Ping Wang, Guodong Ma, Yaqing Han, Jiabei Huang, Kenji Watanabe, Takashi Taniguchi, Alexander S. Mayorov, Geliang Yu

Van der Waals (vdW) assembly of two-dimensional materials has been long recognized as a powerful tool to create unique systems with properties that cannot be found in natural compounds.

Mesoscale and Nanoscale Physics Materials Science

Singlino-dominated dark matter in $Z_3$-NMSSM

no code implementations10 Feb 2021 Haijing Zhou, Junjie Cao, Jingwei Lian, Di Zhang

Approximate analytical formulas describing the dark matter abundance and cross section in the scattering with nucleons are used to illustrate a dependence on theoretical parameters in neutralino and Higgs sectors.

High Energy Physics - Phenomenology

Radiative Decays of Charged Leptons in the Seesaw Effective Field Theory with One-loop Matching

no code implementations9 Feb 2021 Di Zhang, Shun Zhou

For the first time, the Wilson coefficients of all the relevant six-dimensional operators are computed by carrying out the one-loop matching between the effective theory and full seesaw model, and applied to calculate the total rates of radiative decays of charged leptons.

High Energy Physics - Phenomenology High Energy Physics - Experiment

A bi-diffusion based layer-wise sampling method for deep learning in large graphs

no code implementations25 Sep 2019 Yu He, Shiyang Wen, Wenjin Wu, Yan Zhang, Siran Yang, Yuan Wei, Di Zhang, Guojie Song, Wei Lin, Liang Wang, Bo Zheng

The Graph Convolutional Network (GCN) and its variants are powerful models for graph representation learning and have recently achieved great success on many graph-based applications.

Graph Representation Learning

Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

no code implementations3 Jan 2019 Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff

However, the recent development of randomized principal component analysis (RPCA) has opened up the possibility of obtaining approximate principal components on very large datasets.

Dimensionality Reduction General Classification +1

Gear Training: A new way to implement high-performance model-parallel training

no code implementations11 Jun 2018 Hao Dong, Shuai Li, Dongchang Xu, Yi Ren, Di Zhang

The training of Deep Neural Networks usually needs tremendous computing resources.

Cannot find the paper you are looking for? You can Submit a new open access paper.