| 2024 | MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. | Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang |
| 2024 | Improving Prostate Cancer Risk Prediction through Partial AUC Optimization. | Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng |
| 2024 | Graph Contrastive Learning Reimagined: Exploring Universality. | Jiaming Zhuo, Can Cui, Kun Fu, Bingxin Niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang |
| 2024 | Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization. | Zirui Zhu, Yong Liu, Zangwei Zheng, Huifeng Guo, Yang You |
| 2024 | Fair Graph Representation Learning via Sensitive Attribute Disentanglement. | Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen |
| 2024 | Retrieval-augmented Query Reformulation for Heterogeneous Research Asset Retrieval in Virtual Research Environment. | Peide Zhu, Na Li, Zhiming Zhao |
| 2024 | How Reliable is Your Simulator? Analysis on the Limitations of Current LLM-based User Simulators for Conversational Recommendation. | Lixi Zhu, Xiaowen Huang, Jitao Sang |
| 2024 | Robust Data-centric Graph Structure Learning for Text Classification. | Jun Zhuang |
| 2024 | Temporal Interest Network for User Response Prediction. | Haolin Zhou, Junwei Pan, Xinyi Zhou, Xihua Chen, Jie Jiang, Xiaofeng Gao, Guihai Chen |
| 2024 | A Cross Domain Method for Customer Lifetime Value Prediction in Supply Chain Platform. | Zhiyuan Zhou, Li Lin, Hai Wang, Xiaolei Zhou, Gong Wei, Shuai Wang |
| 2024 | Is Contrastive Learning Necessary? A Study of Data Augmentation vs Contrastive Learning in Sequential Recommendation. | Peilin Zhou, You-Liang Huang, Yueqi Xie, Jingqi Gao, Shoujin Wang, Jae Boum Kim, Sunghun Kim |
| 2024 | ARTEMIS: Detecting Airdrop Hunters in NFT Markets with a Graph Learning System. | Chenyu Zhou, Hongzhou Chen, Hao Wu, Junyu Zhang, Wei Cai |
| 2024 | Towards Understanding Crypto-Asset Risks on Ethereum Caused by Key Leakage on the Internet. | Yuxuan Zhou, Jiaqi Chen, Yibo Wang, Yuzhe Tang, Guofei Gu |
| 2024 | Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. | Changzhi Zhou, Zhijing Wu, Dandan Song, Linmei Hu, Yuhang Tian, Jing Xu |
| 2024 | Poisoning Attack on Federated Knowledge Graph Embedding. | Enyuan Zhou, Song Guo, Zhixiu Ma, Zicong Hong, Tao Guo, Peiran Dong |
| 2024 | Modeling the Impact of Timeline Algorithms on Opinion Dynamics Using Low-rank Updates. | Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis |
| 2024 | On the Scale-Free Property of Citation Networks: An Empirical Study. | Xiaoshi Zhong, Huizhi Liang |
| 2024 | Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. | Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin |
| 2024 | NAT4AT: Using Non-Autoregressive Translation Makes Autoregressive Translation Faster and Better. | Huanran Zheng, Wei Zhu, Xiaoling Wang |
| 2024 | Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems. | Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai |
| 2024 | Friend or Foe? Mining Suspicious Behavior via Graph Capsule Infomax Detector against Fraudsters. | Xiangping Zheng, Bo Wu, Xun Liang, Wei Li |
| 2024 | Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation. | Ruiqi Zheng, Liang Qu, Tong Chen, Lizhen Cui, Yuhui Shi, Hongzhi Yin |
| 2024 | IDEA-DAC: Integrity-Driven Editing for Accountable Decentralized Anonymous Credentials via ZK-JSON. | Shuhao Zheng, Zonglun Li, Junliang Luo, Ziyue Xin, Xue Liu |
| 2024 | Harnessing Large Language Models for Text-Rich Sequential Recommendation. | Zhi Zheng, Wenshuo Chao, Zhaopeng Qiu, Hengshu Zhu, Hui Xiong |
| 2024 | MULAN: Multi-modal Causal Structure Learning and Root Cause Analysis for Microservice Systems. | Lecheng Zheng, Zhengzhang Chen, Jingrui He, Haifeng Chen |