Accepted Tutorials

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• Few-Shot Learning on Graphs: From Meta-Learning to LLM-empowered Pre-Training and Beyond

                Presenter: Yuan Fang, Yuxia Wu, Xingtong Yu and Shirui Pan

• Query Understanding in LLM-based Conversational Information Seeking

                Presenter: Yifei Yuan, Zahra Abbasiantaeb, Yang Deng and Mohammad Aliannejadi

• Time Series Analysis in the Web: Recent Advances and Future Trends

                Presenter: Ming Jin, Wei Jin, Hao Xue, Flora Salim and Yuxuan Liang

• Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era

                Presenter: Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang and Christian S. Jensen

• Artificial Intelligence for Complex Network: Potential, Methodology and Application

                Presenter: Jingtao Ding, Yu Zheng, Huandong Wang, Carlo Vittorio Cannistraci, Jianxi Gao, Yong Li and Chuan Shi

• Resource-Efficient Learning for the Web

                Presenter: Chuxu Zhang, Kaize Ding, Jundong Li, Dongkuan Xu, Haoyu Wang, Derek Zhiyuan Cheng and Huan Liu

• A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions

                Presenter: Jing Jiang, Chunxu Zhang, Honglei Zhang, Zhiwei Li, Yidong Li and Bo Yang

• Rethink Deep Learning with Invariance in Data Representation

                Presenter: Shuren Qi, Fei Wang, Tieyong Zeng and Fenglei Fan

• Graph Condensation: Foundations, Methods and Prospects

                Presenter: Hongzhi Yin, Xinyi Gao, Junliang Yu, Ruihong Qiu, Tong Chen, Quoc Viet Hung Nguyen and Zi Huang

• Graph Machine Learning under Distribution Shifts: Adaptation, Generalization and Extension to LLM

                Presenter: Xin Wang, Haoyang Li, Zeyang Zhang and Wenwu Zhu

• Federated Intelligence in Web: A Tutorial

                Presenter: Peng Yan, Shengchao Chen and Guodong Long

• Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation

                Presenter: Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang and Enhong Chen

• Integrating Large Language Models and Knowledge Graphs for Next-level AGI

                Presenter: Linhao Luo, Carl Yang and Shirui Pan

• Joint Modeling in Deep Recommender Systems

                Presenter: Pengyue Jia, Jingtong Gao, Yuhao Wang, Xiaopeng Li, Qidong Liu, Yichao Wang, Bo Chen, Huifeng Guo and Ruiming Tang

• Efficient algorithms for leveraging LLMs for Generative and Predictive Recommender Systems

                Presenter: Kayhan Behdin, Yun Dai, Gregory Dexter, Aman Gupta, Rahul Mazumder, Ankan Saha, Qingquan Song, Shao Tang, Sirou Zhu and Pin-Lun Hsu

• Retrieval and Structuring Augmented Generation with Large Language Models for Web Applications

                Presenter: Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou and Jiawei Han

• Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys

                Presenter: Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu and Haixun Wang

• Computational Advertising: Recent Advances

                Presenter: Junwei Pan, Zhilin Zhang, Han Zhu, Jian Xu, Jie Jiang and Bo Zheng

• Generative Recommendation Models: Progress and Directions

                Presenter: Yupeng Hou, An Zhang, Leheng Sheng, Zhengyi Yang, Xiang Wang, Tat-Seng Chua and Julian McAuley

• Trustworthy AI under Imperfect Web Data

                Presenter: Jiangchao Yao, Feng Liu and Bo Han