Application-Based Coarse-Grained Incremental Checkpointing Based on Non-volatile Memory. - Zhan Shi; Kai Lu 001; Xiaoping Wang; Wenzhe Zhang; Yiqi Wang 001 (NPC, 2016)

Deep Embedding for Determining the Number of Clusters. - Yiqi Wang 001; Zhan Shi; Xifeng Guo 001; Xinwang Liu 002; En Zhu; Jianping Yin (AAAI, 2018)

Exploration of Human Activities Using Sensing Data via Deep Embedded Determination. - Yiqi Wang 001; En Zhu; Qiang Liu 004; Yingwen Chen; Jianping Yin (WASA, 2018)

Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CIKM, 2020)

Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. - Haochen Liu; Wentao Wang 006; Yiqi Wang 001; Hui Liu 031; Zitao Liu 001; Jiliang Tang (EMNLP (1), 2020)

Graph Pooling with Representativeness. - Juan-Hui Li; Yao Ma 001; Yiqi Wang 001; Charu C. Aggarwal; Chang-Dong Wang 001; Jiliang Tang (ICDM, 2020)

Deep Graph Learning: Foundations, Advances and Applications. - Yu Rong 001; Tingyang Xu; Junzhou Huang; Wenbing Huang 001; Hong Cheng 001; Yao Ma 001; Yiqi Wang 001; Tyler Derr; Lingfei Wu 001; Tengfei Ma 001 (KDD, 2020)

Traffic Flow Prediction via Spatial Temporal Graph Neural Network. - Xiaoyang Wang; Yao Ma 001; Yiqi Wang 001; Wei Jin 009; Xin Wang 035; Jiliang Tang; Caiyan Jia; Jian Yu 001 (WWW, 2020)

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study. - Wei Jin 009; Yaxin Li 001; Han Xu 002; Yiqi Wang 001; Jiliang Tang (CoRR, 2020)

Non-IID Graph Neural Networks. - Yiqi Wang 001; Yao Ma 001; Charu C. Aggarwal; Jiliang Tang (CoRR, 2020)

Self-supervised Learning on Graphs: Deep Insights and New Direction. - Wei Jin 009; Tyler Derr; Haochen Liu; Yiqi Wang 001; Suhang Wang; Zitao Liu 001; Jiliang Tang (CoRR, 2020)

Graph Convolutional Networks against Degree-Related Biases. - Xianfeng Tang; Huaxiu Yao; Yiwei Sun; Yiqi Wang 001; Jiliang Tang; Charu C. Aggarwal; Prasenjit Mitra; Suhang Wang (CoRR, 2020)

Adversarial Attacks and Defenses on Graphs. - Wei Jin 009; Yaxin Li 001; Han Xu 002; Yiqi Wang 001; Shuiwang Ji; Charu Aggarwal 001; Jiliang Tang (SIGKDD Explor., 2020)

Elastic Graph Neural Networks. - Xiaorui Liu; Wei Jin 009; Yao Ma 001; Yaxin Li 001; Hua Liu; Yiqi Wang 001; Ming Yan 006; Jiliang Tang (ICML, 2021)

Graph Representation Learning: Foundations, Methods, Applications and Systems. - Wei Jin 009; Yao Ma 001; Yiqi Wang 001; Xiaorui Liu; Jiliang Tang; Yukuo Cen; Jiezhong Qiu; Jie Tang 001; Chuan Shi 001; Yanfang Ye 001; Jiawei Zhang 001; Philip S. Yu (KDD, 2021)

Node Similarity Preserving Graph Convolutional Networks. - Wei Jin 009; Tyler Derr; Yiqi Wang 001; Yao Ma 001; Zitao Liu 001; Jiliang Tang (WSDM, 2021)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Anil K. Jain 001; Jiliang Tang (CoRR, 2021)

Localized Graph Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Mingzheng Li; Wei Jin 009; Yuming Liu; Hao Sun 015; Xing Xie 001 (CoRR, 2021)

Gophormer: Ego-Graph Transformer for Node Classification. - Jianan Zhao 002; Chaozhuo Li; Qianlong Wen; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Xing Xie 001; Yanfang Ye 001 (CoRR, 2021)

HousE: Knowledge Graph Embedding with Householder Parameterization. - Rui Li 086; Jianan Zhao 002; Chaozhuo Li; Di He 001; Yiqi Wang 001; Yuming Liu; Hao Sun 015; Senzhang Wang; Weiwei Deng; Yanming Shen; Xing Xie 001; Qi Zhang 066 (ICML, 2022)

Graph Neural Networks for Multimodal Single-Cell Data Integration. - Hongzhi Wen; Jiayuan Ding; Wei Jin 009; Yiqi Wang 001; Yuying Xie 001; Jiliang Tang (KDD, 2022)

Localized Graph Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Mingzheng Li; Wei Jin 009; Yuming Liu; Hao Sun 015; Xing Xie 001; Jiliang Tang (SDM, 2022)

Accepted Tutorials at The Web Conference 2022. - Riccardo Tommasini 001; Senjuti Basu Roy; Xuan Wang 008; Hongwei Wang; Heng Ji 001; Jiawei Han 001; Preslav Nakov; Giovanni Da San Martino; Firoj Alam; Markus Schedl; Elisabeth Lex; Akash Bharadwaj; et al. (WWW (Companion Volume), 2022)

Are Graph Neural Networks Really Helpful for Knowledge Graph Completion? - Juan-Hui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (CoRR, 2022)

A Comprehensive Survey on Trustworthy Recommender Systems. - Wenqi Fan; Xiangyu Zhao 001; Xiao Chen 016; Jingran Su; Jingtong Gao; Lin Wang 040; Qidong Liu 002; Yiqi Wang 001; Han Xu 002; Lei Chen 002; Qing Li 001 (CoRR, 2022)

Test-Time Training for Graph Neural Networks. - Yiqi Wang 001; Chaozhuo Li; Wei Jin 009; Rui Li 086; Jianan Zhao 002; Jiliang Tang; Xing Xie 001 (CoRR, 2022)

Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion? - Juanhui Li; Harry Shomer; Jiayuan Ding; Yiqi Wang 001; Yao Ma 001; Neil Shah; Jiliang Tang; Dawei Yin (ACL (1), 2023)

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. - Qian Ma 012; Zijian Zhang 009; Xiangyu Zhao 001; Haoliang Li; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001; Wanyu Wang (CIKM, 2023)

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. - Zijian Zhang 009; Xiangyu Zhao 001; Qidong Liu 002; Chunxu Zhang; Qian Ma 012; Wanyu Wang; Hongwei Zhao; Yiqi Wang 001; Zitao Liu 001 (CIKM, 2023)

STRec: Sparse Transformer for Sequential Recommendations. - Chengxi Li 013; Yejing Wang; Qidong Liu 002; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Lixin Zou; Wenqi Fan; Qing Li 001 (RecSys, 2023)

AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. - Xin Gan; Yuhao Wang 006; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001 (SIGIR, 2023)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Liu Cai; Chi Zhang 060; Xiangyu Zhao 001; Jingtong Gao; Wanyu Wang; Yifu Lv; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (SIGIR, 2023)

Recommender Systems in the Era of Large Language Models (LLMs). - Wenqi Fan; Zihuai Zhao; Jiatong Li 003; Yunqing Liu; Xiaowei Mei; Yiqi Wang 001; Jiliang Tang; Qing Li 001 (CoRR, 2023)

Customized Graph Nerual Networks. - Yiqi Wang 001; Yao Ma 001; Wei Jin 009; Chaozhuo Li; Charu Aggarwal 001; Jiliang Tang (IEEE Data Eng. Bull., 2023)

Trustworthy AI: A Computational Perspective. - Haochen Liu; Yiqi Wang 001; Wenqi Fan; Xiaorui Liu; Yaxin Li 001; Shaili Jain; Yunhao Liu 001; Anil K. Jain 001; Jiliang Tang (ACM Trans. Intell. Syst. Technol., 2023)

An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. - Yiqi Wang 001; Chaozhuo Li; Zheng Liu 011; Mingzheng Li; Jiliang Tang; Xing Xie 001; Lei Chen 002; Philip S. Yu (ACM Trans. Inf. Syst., 2023)

Efficient and Robust Regularized Federated Recommendation. - Langming Liu; Wanyu Wang; Xiangyu Zhao 001; Zijian Zhang 009; Chunxu Zhang; Shanru Lin; Yiqi Wang 001; Lixin Zou; Zitao Liu 001; Xuetao Wei; Hongzhi Yin; Qing Li 001 (CIKM, 2024)

Test-Time Training on Graphs with Large Language Models (LLMs). - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; Siwei Wang 001; Yu Feng; Yu Shi; Ruichao Ren; En Zhu; Xinwang Liu 002 (ACM Multimedia, 2024)

Cumulative Distribution Function based General Temporal Point Processes. - Maolin Wang 001; Yu Pan 005; Zenglin Xu; Ruocheng Guo; Xiangyu Zhao 001; Wanyu Wang; Yiqi Wang 001; Zitao Liu 001; Langming Liu (CoRR, 2024)

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation. - Jiaxi Hu; Jingtong Gao; Xiangyu Zhao 001; Yuehong Hu; Yuxuan Liang; Yiqi Wang 001; Ming He; Zitao Liu 001; Hongzhi Yin (CoRR, 2024)

LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. - Langming Liu; Xiangyu Zhao 001; Chi Zhang 060; Jingtong Gao; Wanyu Wang; Wenqi Fan; Yiqi Wang 001; Ming He; Zitao Liu 001; Qing Li 001 (CoRR, 2024)

Mixed Graph Contrastive Network for Semi-supervised Node Classification. - Xihong Yang; Yiqi Wang 001; Yue Liu 008; Yi Wen 001; Lingyuan Meng; Sihang Zhou 001; Xinwang Liu 002; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Recommender Systems in the Era of Large Language Models (LLMs). - Zihuai Zhao; Wenqi Fan; Jiatong Li 003; Yunqing Liu; Xiaowei Mei; Yiqi Wang 001; Zhen Wen; Fei Wang; Xiangyu Zhao 001; Jiliang Tang; Qing Li 001 (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Graph Neural Networks for Graph Classification via Structure-Guided Adaptor. - Wen Yin; Yiqi Wang 001; Jiaxin Zhang 030; Yu Shi; Ruichao Ren; Songlei Jian; Jianfeng Zhang; Yan Ding (CSCWD, 2025)

Mixture of Experts for Node Classification. - Yu Shi; Yiqi Wang 001; WeiXuan Liang; Jiaxin Zhang 030; Pan Dong; Aiping Li (ICMR, 2025)

Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation. - Yi Wen 001; Yue Liu 008; Derong Xu; Huishi Luo; Pengyue Jia; Yiqing Wu; Siwei Wang 001; Ke Liang 006; Maolin Wang 001; Yiqi Wang 001; Fuzhen Zhuang; Xiangyu Zhao 001 (CoRR, 2025)

Dual Test-Time Training for Out-of-Distribution Recommender System. - Xihong Yang; Yiqi Wang 001; Jin Chen 008; Wenqi Fan; Xiangyu Zhao 001; En Zhu; Xinwang Liu 002; Defu Lian (IEEE Trans. Knowl. Data Eng., 2025)