Zhiwei Liu

发表

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Jiawei Zhang, Zhiwei Liu, Philip S. Yu, 2021, CIKM.

Residual attention network using multi-channel dense connections for image super-resolution

Chen Zhu, Xinyu Du, Zhiwei Liu, 2020, Applied Intelligence.

Explanation Guided Contrastive Learning for Sequential Recommendation

Ee-Peng Lim, Lei Wang, Tianxiang Zhao, 2022, CIKM.

Residual attention network using multi-channel dense connections for image super-resolution

Zhiwei Liu, Ji Huang, Chengjia Zhu, 2020, Applied Intelligence.

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Philip S. Yu, Li Sun, Zhiwei Liu, 2020, CIKM.

Federated Social Recommendation with Graph Neural Network pdf

Hao Peng, Zhiwei Liu, Philip S. Yu, 2021, ACM Trans. Intell. Syst. Technol..

D EOSCILLATED A DAPTIVE G RAPH C OLLABORATIVE F ILTERING

Philip S. Yu, Jiawei Zhang, Fei Jiang, 2021 .

Deoscillated Adaptive Graph Collaborative Filtering

Philip S. Yu, Jiawei Zhang, Zhiwei Liu, 2020, TAG-ML.

Sequential Recommendation via Stochastic Self-Attention

Philip S. Yu, Lei Zheng, Hao Peng, 2022, WWW.

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation

Zhiwei Liu, Ziwei Fan, Philip S. Yu, 2021, CIKM.

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN pdf

Yu Wang, Lichao Sun, Zhiwei Liu, 2021, CIKM.

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network

Hao Peng, Kannan Achan, Stephen Guo, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network

Philip S. Yu, Liangwei Yang, Ziwei Fan, 2022, WWW.

Pre-training Graph Neural Network for Cross Domain Recommendation pdf

Zhiwei Liu, Philip S. Yu, Chen Wang, 2021, 2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI).

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Philip S. Yu, Yu Wang, Zhiwei Liu, 2021, SIGIR.

Basket Recommendation with Multi-Intent Translation Graph Neural Network pdf

Philip S. Yu, Kannan Achan, Xiaohan Li, 2020, 2020 IEEE International Conference on Big Data (Big Data).

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

Shanping Li, Chao Liu, Xin Xia, 2020, ACM Trans. Softw. Eng. Methodol..

Intent Contrastive Learning for Sequential Recommendation

Julian McAuley, Caiming Xiong, Jia Li, 2022, WWW.

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation pdf

Julian McAuley, Zhiwei Liu, Caiming Xiong, 2021, ArXiv.

ConsisRec: Enhancing GNN for Social Recommendation via Consistent Neighbor Aggregation

Philip S. Yu, Yingtong Dou, Liangwei Yang, 2021, SIGIR.

Quality-Aware Network for Human Parsing pdf

Qing Song, Songcen Xu, Lu Yang, 2021, IEEE Transactions on Multimedia.

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training

Jianguo Zhang, Caiming Xiong, Haiquan Wang, 2023, CIKM.

Generating Negative Samples for Sequential Recommendation

N. Keskar, Julian McAuley, Caiming Xiong, 2022, ArXiv.

Conditional Denoising Diffusion for Sequential Recommendation

Liangwei Yang, Zhiwei Liu, Yu Wang, 2023, PAKDD.

LSAP: Rethinking Inversion Fidelity, Perception and Editability in GAN Latent Space

Wenguan Wang, Lu Yang, Q. Song, 2022, ArXiv.

JSCN: Joint Spectral Convolutional Network for Cross Domain Recommendation

Philip S. Yu, Lei Zheng, Jiawei Zhang, 2019, 2019 IEEE International Conference on Big Data (Big Data).

Choose Your QA Model Wisely: A Systematic Study of Generative and Extractive Readers for Question Answering

Kazuma Hashimoto, Semih Yavuz, Chitta Baral, 2022, SPANLP.

Few-Shot Intent Detection via Contrastive Pre-Training and Fine-Tuning pdf

Quan Hung Tran, Congying Xia, Trung Bui, 2021, EMNLP.

ContrastVAE: Contrastive Variational AutoEncoder for Sequential Recommendation

P. Yu, Liangwei Yang, Hengrui Zhang, 2022, CIKM.

Ladder-GNN: Hop-Aware Representation Learning for Graph Neural Networks

Ailing Zeng, Zhiwei Liu, Qiang Xu, 2021 .

Deep Presentation Bias Integrated Framework for CTR Prediction

Zhiwei Liu, Jianqiang Huang, Xingyuan Tang, 2022, CIKM.

Stratified attention dense network for image super-resolution

Yueyuan Zhang, Zhiwei Liu, Xiaofeng Mao, 2021, Signal, Image and Video Processing.

Sequential Recommendation via Stochastic Self-Attention

Philip S. Yu, Lei Zheng, Hao Peng, 2022, WWW.

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Philip S. Yu, Ziwei Fan, Zhiwei Liu, 2021, SIGIR.

Deep Fraud Detection on Non-attributed Graph

Yingtong Dou, Zhiwei Liu, Philip S. Yu, 2021, 2021 IEEE International Conference on Big Data (Big Data).

Simplifying Deep-Learning-Based Model for Code Search pdf

Chao Liu, Xin Xia, Ahmed E. Hassan, 2020, ArXiv.