Search Results for author: Qingyu Guo

Found 5 papers, 1 papers with code

Integer-Only Neural Network Quantization Scheme Based on Shift-Batch-Normalization

1 code implementation28 May 2021 Qingyu Guo, YuAn Wang, Xiaoxin Cui

Without big integer multiplication(which is used in previous integer-only-quantization methods), this scheme can achieve good power and latency efficiency, and is especially suitable to be deployed on co-designed hardware platforms.

Quantization

Contextual User Browsing Bandits for Large-Scale Online Mobile Recommendation

no code implementations21 Aug 2020 Xu He, Bo An, Yanghua Li, Haikai Chen, Qingyu Guo, Xin Li, Zhirong Wang

First, since we concern the reward of a set of recommended items, we model the online recommendation as a contextual combinatorial bandit problem and define the reward of a recommended set.

A Survey on Knowledge Graph-Based Recommender Systems

no code implementations28 Feb 2020 Qingyu Guo, Fuzhen Zhuang, Chuan Qin, HengShu Zhu, Xing Xie, Hui Xiong, Qing He

On the one hand, we investigate the proposed algorithms by focusing on how the papers utilize the knowledge graph for accurate and explainable recommendation.

Explainable Recommendation Recommendation Systems

Manipulating a Learning Defender and Ways to Counteract

no code implementations NeurIPS 2019 Jiarui Gan, Qingyu Guo, Long Tran-Thanh, Bo An, Michael Wooldridge

We then apply a game-theoretic framework at a higher level to counteract such manipulation, in which the defender commits to a policy that specifies her strategy commitment according to the learned information.

Multi-Scale Quasi-RNN for Next Item Recommendation

no code implementations26 Feb 2019 Chaoyue He, Yong liu, Qingyu Guo, Chunyan Miao

To this end, architectural inductive biases such as Markov-Chains, Recurrent models, Convolutional networks and many others have demonstrated reasonable success on this task.

Recommendation Systems

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