| 2024 | CAG: A Consistency-Adaptive Text-Image Alignment Generation for Joint Multimodal Entity-Relation Extraction. | Xinjie Yang, Xiaocheng Gong, Binghao Tang, Yang Lei, Yayue Deng, Huan Ouyang, Gang Zhao, Lei Luo, Yunling Feng, Bin Duan, Si Li, Yajing Xu |
| 2024 | Hyperbolic Contrastive Learning for Cross-Domain Recommendation. | Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min |
| 2024 | BART-based Hierarchical Attentional Network for Sentence Ordering. | Yiping Yang, Baiyun Cui, Yingming Li |
| 2024 | Robust Heterophily Graph Learning via Uniformity Augmentation. | Xusheng Yang, Zhengyu Chen, Yuexian Zou |
| 2024 | Breaking State-of-the-Art Poisoning Defenses to Federated Learning: An Optimization-Based Attack Framework. | Yuxin Yang, Qiang Li, Chenfei Nie, Yuan Hong, Binghui Wang |
| 2024 | Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles. | Shiyi Yang, Chen Wang, Xiwei Xu, Liming Zhu, Lina Yao |
| 2024 | Multi-Task Recommendation with Task Information Decoupling. | Ruiran Yan, Rui Fan, Defu Lian |
| 2024 | Buffalo: Biomedical Vision-Language Understanding with Cross-Modal Prototype and Federated Foundation Model Collaboration. | Bingjie Yan, Qian Chen, Yiqiang Chen, Xinlong Jiang, Wuliang Huang, Bingyu Wang, Zhirui Wang, Chenlong Gao, Teng Zhang |
| 2024 | Learning Counterfactual Explanations with Intervals for Time-series Classification. | Akihiro Yamaguchi, Ken Ueno, Ryusei Shingaki, Hisashi Kashima |
| 2024 | Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. | Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang |
| 2024 | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng |
| 2024 | Exploring High-Order User Preference with Knowledge Graph for Recommendation. | Caijun Xu, Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Rui Liu |
| 2024 | Generative AI and Retrieval-Augmented Generation (RAG) Systems for Enterprise. | Anbang Xu, Tan Yu, Min Du, Pritam Gundecha, Yufan Guo, Xinliang Zhu, May Wang, Ping Li, Xinyun Chen |
| 2024 | Enhancing Content-based Recommendation via Large Language Model. | Wentao Xu, Qianqian Xie, Shuo Yang, Jiangxia Cao, Shuchao Pang |
| 2024 | Identifying Disinformation from Online Social Media via Dynamic Modeling across Propagation Stages. | Shuai Xu, Jianqiu Xu, Shuo Yu, Bohan Li |
| 2024 | Towards Energy-Efficient Llama2 Architecture on Embedded FPGAs. | Han Xu, Xingyuan Wang, Shihao Ji |
| 2024 | Towards Real-Time and Personalized Code Generation. | Han Xu, Xingyuan Wang, Haipeng Chen |
| 2024 | Sequence-level Semantic Representation Fusion for Recommender Systems. | Lanling Xu, Zhen Tian, Bingqian Li, Junjie Zhang, Daoyuan Wang, Hongyu Wang, Jinpeng Wang, Sheng Chen, Wayne Xin Zhao |
| 2024 | The 8th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA | Jiejun Xu, Hanghang Tong, Andrea L. Bertozzi |
| 2024 | SparseBF: Enhancing Scalability and Efficiency for Sparsely Filled Privacy-Preserving Record Linkage. | Han Xu, Yuhong Shao, Kareem Benaissa, Yutong Li |
| 2024 | Deep Learning-Based Compressed Sensing for Mobile Device-Derived Sensor Data. | Liqiang Xu, Yuuki Nishiyama, Kota Tsubouchi, Kaoru Sezaki |
| 2024 | Advancing Re-Ranking with Multimodal Fusion and Target-Oriented Auxiliary Tasks in E-Commerce Search. | Enqiang Xu, Xinhui Li, Zhigong Zhou, Jiahao Ji, Jinyuan Zhao, Dadong Miao, Songlin Wang, Lin Liu, Sulong Xu |
| 2024 | Source Prompt: Coordinated Pre-training of Language Models on Diverse Corpora from Multiple Sources. | Yipei Xu, Dakuan Lu, Jiaqing Liang, Jin Zhao, Xintao Wang, Hengkui Wu, Ken Chen, Liujiang Liu, Yingsi Xin, Xuepeng Liu, Yanghua Xiao, Zhixu Li |
| 2024 | scACT: Accurate Cross-modality Translation via Cycle-consistent Training from Unpaired Single-cell Data. | Siwei Xu, Junhao Liu, Jing Zhang |
| 2024 | Contrasformer: A Brain Network Contrastive Transformer for Neurodegenerative Condition Identification. | Jiaxing Xu, Kai He, Mengcheng Lan, Qingtian Bian, Wei Li, Tieying Li, Yiping Ke, Miao Qiao |