Yiqi Wang

发表

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Jiliang Tang, Haochen Liu, Wentao Wang, 2020, EMNLP.

Adversarial Attacks and Defenses on Graphs

Jiliang Tang, Shuiwang Ji, Yiqi Wang, 2020, SIGKDD Explor..

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Jiliang Tang, Yiqi Wang, Wei Jin, 2020, ArXiv.

Short-term temperature prediction based on hybrid CEEMDAN, neural networks, and linear regression methods

Yiqi Wang, Shuyu Li, Maiyun Zhang, 2022, Other Conferences.

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Jiliang Tang, Yiqi Wang, Neil Shah, 2022, ArXiv.

Adversarial Attacks and Defenses on Graphs

Charu Aggarwal, Shuiwang Ji, Jiliang Tang, 2021, SIGKDD Explor..

Trustworthy AI: A Computational Perspective pdf

Jiliang Tang, Wenqi Fan, Xiaorui Liu, 2021, ACM Trans. Intell. Syst. Technol..

Elastic Graph Neural Networks

Jiliang Tang, Yao Ma, Xiaorui Liu, 2021, ICML.

Jiliang Tang, Yiqi Wang, Zitao Liu, 2020, WSDM.

Traffic Flow Prediction via Spatial Temporal Graph Neural Network

Xiaoyang Wang, Xin Wang, Jian Yu, 2020, WWW.

Self-supervised Learning on Graphs: Deep Insights and New Direction pdf

Suhang Wang, Jiliang Tang, Wei Jin, 2020, ArXiv.

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks

Jiliang Tang, P. Mitra, Suhang Wang, 2020, CIKM.

Deep Embedding for Determining the Number of Clusters

En Zhu, Jianping Yin, Xinwang Liu, 2018, AAAI.

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning

Hui Liu, Jiliang Tang, Wentao Wang, 2020, EMNLP.

Recommender Systems in the Era of Large Language Models (LLMs)

Jiliang Tang, Yiqi Wang, Wenqi Fan, 2023, ArXiv.

Deep Graph Learning: Foundations, Advances and Applications

Wenbing Huang, Hong Cheng, Tingyang Xu, 2020, KDD.

HousE: Knowledge Graph Embedding with Householder Parameterization

Yiqi Wang, Senzhang Wang, Rui Li, 2022, ICML.

Recommender Systems in the Era of Large Language Models (LLMs)

Jiliang Tang, Yiqi Wang, Wenqi Fan, 2023, IEEE Transactions on Knowledge and Data Engineering.

Graph Pooling with Representativeness

Jiliang Tang, Changdong Wang, Yiqi Wang, 2020, 2020 IEEE International Conference on Data Mining (ICDM).

Test-Time Training for Graph Neural Networks

Jiliang Tang, Yiqi Wang, Rui Li, 2022, ArXiv.

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering pdf

Lei Chen, Jiliang Tang, Chaozhuo Li, 2021, ACM Trans. Inf. Syst..

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression

Yiqi Wang, Zitao Liu, Xiangyu Zhao, 2023, SIGIR.

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

Yiqi Wang, Zitao Liu, Wenqi Fan, 2023, SIGIR.

Graph Convolutional Networks against Degree-Related Biases pdf

Xianfeng Tang, Prasenjit Mitra, Charu Aggarwal, 2020, ArXiv.

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems

Yiqi Wang, Zitao Liu, Wenqi Fan, 2023, SIGIR.

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?

Jiliang Tang, Yiqi Wang, Neil Shah, 2022, ACL.

Jiliang Tang, Wei Jin, Yao Ma, 2020, WSDM.

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction

Yiqi Wang, Zitao Liu, Zijian Zhang, 2023, International Conference on Information and Knowledge Management.

Exercise rehabilitation to treat sarcopenia in pediatric transplant populations

Yiqi Wang, D. Mager, V. Mazurak, 2023, Pediatric transplantation.

STRec: Sparse Transformer for Sequential Recommendations

Yiqi Wang, Yejing Wang, Wenqi Fan, 2023, RecSys.