Yiqi Wang

According to our database, Yiqi Wang authored at least 45 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

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

Zihuai Zhao, Wenqi Fan, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Zhen Wen, Fei Wang, Xiangyu Zhao, Jiliang Tang, Qing Li

IEEE Trans. Knowl. Data Eng., November, 2024

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs.

Jiaxin Zhang, Yiqi Wang, Xihong Yang, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

Mixed Graph Contrastive Network for Semi-supervised Node Classification.

Xihong Yang, Yiqi Wang, Yue Liu, Yi Wen, Lingyuan Meng, Sihang Zhou, Xinwang Liu, En Zhu

ACM Trans. Knowl. Discov. Data, August, 2024

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

Langming Liu, Xiangyu Zhao, Chi Zhang, Jingtong Gao, Wanyu Wang, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

CoRR, 2024

Dual Test-time Training for Out-of-distribution Recommender System.

Xihong Yang, Yiqi Wang, Jin Chen, Wenqi Fan, Xiangyu Zhao, En Zhu, Xinwang Liu, Defu Lian

CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.

Jiaxi Hu, Jingtong Gao, Xiangyu Zhao, Yuehong Hu, Yuxuan Liang, Yiqi Wang, Ming He, Zitao Liu, Hongzhi Yin

CoRR, 2024

Cumulative Distribution Function based General Temporal Point Processes.

Maolin Wang, Yu Pan, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu, Langming Liu

CoRR, 2024

Test-Time Training on Graphs with Large Language Models (LLMs).

Jiaxin Zhang, Yiqi Wang, Xihong Yang, Siwei Wang, Yu Feng, Yu Shi, Ruichao Ren, En Zhu, Xinwang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

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

Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, Philip S. Yu

ACM Trans. Inf. Syst., April, 2023

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Yunhao Liu, Anil K. Jain, Jiliang Tang

ACM Trans. Intell. Syst. Technol., February, 2023

Customized Graph Nerual Networks.

Yiqi Wang, Yao Ma, Wei Jin, Chaozhuo Li, Charu Aggarwal, Jiliang Tang

IEEE Data Eng. Bull., 2023

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

Wenqi Fan, Zihuai Zhao, Jiatong Li, Yunqing Liu, Xiaowei Mei, Yiqi Wang, Jiliang Tang, Qing Li

CoRR, 2023

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

Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression.

Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

STRec: Sparse Transformer for Sequential Recommendations.

Chengxi Li, Yejing Wang, Qidong Liu, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Lixin Zou, Wenqi Fan, Qing Li

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

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

Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.

Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

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

Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Test-Time Training for Graph Neural Networks.

Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, Xing Xie

CoRR, 2022

A Comprehensive Survey on Trustworthy Recommender Systems.

Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li

CoRR, 2022

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?

Juan-Hui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin

CoRR, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Localized Graph Collaborative Filtering.

Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Graph Neural Networks for Multimodal Single-Cell Data Integration.

Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.

Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Gophormer: Ego-Graph Transformer for Node Classification.

Jianan Zhao, Chaozhuo Li, Qianlong Wen, Yiqi Wang, Yuming Liu, Hao Sun, Xing Xie, Yanfang Ye

CoRR, 2021

Localized Graph Collaborative Filtering.

Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie

CoRR, 2021

Trustworthy AI: A Computational Perspective.

Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Yaxin Li, Shaili Jain, Anil K. Jain, Jiliang Tang

CoRR, 2021

Node Similarity Preserving Graph Convolutional Networks.

Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang

Proceedings of the WSDM '21, 2021

Graph Representation Learning: Foundations, Methods, Applications and Systems.

Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Elastic Graph Neural Networks.

Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Adversarial Attacks and Defenses on Graphs.

Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Shuiwang Ji, Charu Aggarwal, Jiliang Tang

SIGKDD Explor., 2020

Graph Convolutional Networks against Degree-Related Biases.

Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang

CoRR, 2020

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

Wei Jin, Tyler Derr, Haochen Liu, Yiqi Wang, Suhang Wang, Zitao Liu, Jiliang Tang

CoRR, 2020

Non-IID Graph Neural Networks.

Yiqi Wang, Yao Ma, Charu C. Aggarwal, Jiliang Tang

CoRR, 2020

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

Wei Jin, Yaxin Li, Han Xu, Yiqi Wang, Jiliang Tang

CoRR, 2020

Traffic Flow Prediction via Spatial Temporal Graph Neural Network.

Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Graph Learning: Foundations, Advances and Applications.

Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng, Yao Ma, Yiqi Wang, Tyler Derr, Lingfei Wu, Tengfei Ma

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Graph Pooling with Representativeness.

Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.

Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.

Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018

Exploration of Human Activities Using Sensing Data via Deep Embedded Determination.

Yiqi Wang, En Zhu, Qiang Liu, Yingwen Chen, Jianping Yin

Proceedings of the Wireless Algorithms, Systems, and Applications, 2018

Deep Embedding for Determining the Number of Clusters.

Yiqi Wang, Zhan Shi, Xifeng Guo, Xinwang Liu, En Zhu, Jianping Yin

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016

Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory.

Zhan Shi, Kai Lu, Xiaoping Wang, Wenzhe Zhang, Yiqi Wang

Proceedings of the Network and Parallel Computing, 2016