He, Xiuqiang

20 publications

NeurIPS 2025 Beyond Higher Rank: Token-Wise Input-Output Projections for Efficient Low-Rank Adaptation Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Xiuqiang He, Ruixuan Li

ICML 2025 Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ICML 2025 Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He

NeurIPS 2025 Semantic Retrieval Augmented Contrastive Learning for Sequential Recommendation Ziqiang Cui, Yunpeng Weng, Xing Tang, Xiaokun Zhang, Shiwei Li, Peiyang Liu, Bowei He, Dugang Liu, Weihong Luo, Xiuqiang He, Chen Ma

ICML 2025 The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ICLR 2025 Uncertainty and Influence Aware Reward Model Refinement for Reinforcement Learning from Human Feedback Zexu Sun, Yiju Guo, Yankai Lin, Xu Chen, Qi Qi, Xing Tang, Xiuqiang He, Ji-Rong Wen

ICML 2024 FedBAT: Communication-Efficient Federated Learning via Learnable Binarization Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li

ECML-PKDD 2023 OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction Xing Tang, Yang Qiao, Yuwen Fu, Fuyuan Lyu, Dugang Liu, Xiuqiang He

NeurIPS 2023 Towards Hybrid-Grained Feature Interaction Selection for Deep Sparse Network Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo, Liang Chen, Xiuqiang He, Xue Liu

AAAI 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He

CVPR 2022 Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross-Modal Denoising Networks Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian

IJCAI 2021 Deep Learning for Click-Through Rate Estimation Weinan Zhang, Jiarui Qin, Wei Guo, Ruiming Tang, Xiuqiang He

AAAI 2021 Graph Heterogeneous Multi-Relational Recommendation Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma

AAAI 2021 Modeling High-Order Interactions Across Multi-Interests for Micro-Video Reommendation (Student Abstract) Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

IJCAI 2021 UNBERT: User-News Matching BERT for News Recommendation Qi Zhang, Jingjie Li, Qinglin Jia, Chuyuan Wang, Jieming Zhu, Zhaowei Wang, Xiuqiang He

NeurIPS 2020 Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He

AAAI 2020 Less Is Better: Unweighted Data Subsampling via Influence Function Zifeng Wang, Hong Zhu, Zhenhua Dong, Xiuqiang He, Shao-Lun Huang

AAAI 2020 Leveraging Title-Abstract Attentive Semantics for Paper Recommendation Guibing Guo, Bowei Chen, Xiaoyan Zhang, Zhirong Liu, Zhenhua Dong, Xiuqiang He

IJCAI 2017 DeepFM: A Factorization-Machine Based Neural Network for CTR Prediction Huifeng Guo, Ruiming Tang, Yunming Ye, Zhenguo Li, Xiuqiang He

AAAI 2015 Personalized Tag Recommendation Through Nonlinear Tensor Factorization Using Gaussian Kernel Xiaomin Fang, Rong Pan, Guoxiang Cao, Xiuqiang He, Wenyuan Dai