| 2024 | 3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder. | Haoxin Xu, Zezheng Zhao, Yuxin Cao, Chunyu Chen, Hao Ge, Ziyao Liu |
| 2024 | Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks. | Yichang Xu, Ming Yin, Minghong Fang, Neil Zhenqiang Gong |
| 2024 | I-CoSim: Efficient Dynamic CoSimRank Retrieval on Evolving Networks. | Xiaoyu Xu, Weiren Yu |
| 2024 | FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval. | Chen Xu, Jun Xu, Yiming Ding, Xiao Zhang, Qi Qi |
| 2024 | When Imbalance Meets Imbalance: Structure-driven Learning for Imbalanced Graph Classification. | Wei Xu, Pengkun Wang, Zhe Zhao, Binwu Wang, Xu Wang, Yang Wang |
| 2024 | Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples. | Xiaoxiao Xu, Hao Wu, Wenhui Yu, Lantao Hu, Peng Jiang, Kun Gai |
| 2024 | Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. | Wujiang Xu, Qitian Wu, Runzhong Wang, Mingming Ha, Qiongxu Ma, Linxun Chen, Bing Han, Junchi Yan |
| 2024 | List-aware Reranking-Truncation Joint Model for Search and Retrieval-augmented Generation. | Shicheng Xu, Liang Pang, Jun Xu, Huawei Shen, Xueqi Cheng |
| 2024 | Search-in-the-Chain: Interactively Enhancing Large Language Models with Search for Knowledge-intensive Tasks. | Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, Tat-Seng Chua |
| 2024 | NCTM: A Novel Coded Transmission Mechanism for Short Video Deliveries. | Zhenge Xu, Qing Li, Wanxin Shi, Yong Jiang, Zhenhui Yuan, Peng Zhang, Gabriel-Miro Muntean |
| 2024 | MMPOI: A Multi-Modal Content-Aware Framework for POI Recommendations. | Yang Xu, Gao Cong, Lei Zhu, Lizhen Cui |
| 2024 | Tight Competitive and Variance Analyses of Matching Policies in Gig Platforms. | Pan Xu |
| 2024 | Spot Check Equivalence: An Interpretable Metric for Information Elicitation Mechanisms. | Shengwei Xu, Yichi Zhang, Paul Resnick, Grant Schoenebeck |
| 2024 | UnifiedSSR: A Unified Framework of Sequential Search and Recommendation. | Jiayi Xie, Shang Liu, Gao Cong, Zhenzhong Chen |
| 2024 | Why Deeper Layers May Introduce More Bias. | Rui Xia, Lisong Wang, Pingping Shi |
| 2024 | MSynFD: Multi-hop Syntax Aware Fake News Detection. | Liang Xiao, Qi Zhang, Chongyang Shi, Shoujin Wang, Usman Naseem, Liang Hu |
| 2024 | Multi-Scenario Pricing for Hotel Revenue Management. | Wendong Xiao, Shuqi Zhang, Zhiyi Huang, Yao Yu |
| 2024 | Which LLM to Play? Convergence-Aware Online Model Selection with Time-Increasing Bandits. | Yu Xia, Fang Kong, Tong Yu, Liya Guo, Ryan A. Rossi, Sungchul Kim, Shuai Li |
| 2024 | Hierarchical Graph Signal Processing for Collaborative Filtering. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | A Bayesian Framework for Measuring Association and Its Application to Emotional Dynamics in Web Discourse. | Henrique S. Xavier, Diogo Cortiz, Mateus Silvestrin, Ana Lusa Freitas, Letcia Yumi Nakao Morello, Fernanda Naomi Pantaleo, Gabriel Gaudencio do Rgo |
| 2024 | Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendation. | Xuansheng Wu, Huachi Zhou, Yucheng Shi, Wenlin Yao, Xiao Huang, Ninghao Liu |
| 2024 | MetaSplit: Meta-Split Network for Limited-Stock Product Recommendation. | Wenhao Wu, Jialiang Zhou, Ailong He, Shuguang Han, Jufeng Chen, Bo Zheng |
| 2024 | Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. | Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue |
| 2024 | Query2GMM: Learning Representation with Gaussian Mixture Model for Reasoning over Knowledge Graphs. | Yuhan Wu, Yuanyuan Xu, Wenjie Zhang, Xiwei Xu, Ying Zhang |
| 2024 | Targeted Filter Bubbles Mitigating via Edges Insertion. | Yanping Wu, Jinghao Wang, Renjie Sun, Chen Chen, Xiaoyang Wang, Ying Zhang |