Guo, Guibing

25 publications

ICLR 2026 MergOPT: A Merge-Aware Optimizer for Robust Model Merging Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen

ICLR 2026 SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation Jiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang

AAAI 2025 Augmenting Sequential Recommendation with Balanced Relevance and Diversity Yizhou Dang, Jiahui Zhang, Yuting Liu, Enneng Yang, Yuliang Liang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

AAAI 2025 CoRA: Collaborative Information Perception by Large Language Model's Weights for Recommendation Yuting Liu, Jinghao Zhang, Yizhou Dang, Yuliang Liang, Qiang Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

NeurIPS 2025 Continual Model Merging Without Data: Dual Projections for Balancing Stability and Plasticity Enneng Yang, Anke Tang, Li Shen, Guibing Guo, Xingwei Wang, Xiaochun Cao, Jie Zhang

AAAI 2025 EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion Pengxiang Lan, Enneng Yang, Yuting Liu, Guibing Guo, Jianzhe Zhao, Xingwei Wang

AAAI 2025 Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation Shuwei Gong, Yuting Liu, Yizhou Dang, Guibing Guo, Jianzhe Zhao, Xingwei Wang

ICLR 2024 AdaMerging: Adaptive Model Merging for Multi-Task Learning Enneng Yang, Zhenyi Wang, Li Shen, Shiwei Liu, Guibing Guo, Xingwei Wang, Dacheng Tao

ICML 2024 Representation Surgery for Multi-Task Model Merging Enneng Yang, Li Shen, Zhenyi Wang, Guibing Guo, Xiaojun Chen, Xingwei Wang, Dacheng Tao

AAAI 2023 AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning Enneng Yang, Junwei Pan, Ximei Wang, Haibin Yu, Li Shen, Xihua Chen, Lei Xiao, Jie Jiang, Guibing Guo

NeurIPS 2023 An Efficient Dataset Condensation Plugin and Its Application to Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Tongliang Liu, Guibing Guo

IJCAI 2023 Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-Basket Recommendation Yalin Yu, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang

ICCV 2023 Data Augmented Flatness-Aware Gradient Projection for Continual Learning Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang

AAAI 2023 Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation Yizhou Dang, Enneng Yang, Guibing Guo, Linying Jiang, Xingwei Wang, Xiaoxiao Xu, Qinghui Sun, Hong Liu

ECML-PKDD 2022 Bi-Directional Contrastive Distillation for Multi-Behavior Recommendation Yabo Chu, Enneng Yang, Qiang Liu, Yuting Liu, Linying Jiang, Guibing Guo

NeurIPSW 2022 Protein Language Model Predicts Mutation Pathogenicity and Clinical Prognosis Xiangling Liu, Xinyu Yang, Linkun Ouyang, Guibing Guo, Jin Su, Ruibin Xi, Ke Yuan, Fajie Yuan

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

IJCAI 2019 Discrete Trust-Aware Matrix Factorization for Fast Recommendation Guibing Guo, Enneng Yang, Li Shen, Xiaochun Yang, Xiaodong He

IJCAI 2019 Dynamic Item Block and Prediction Enhancing Block for Sequential Recommendation Guibing Guo, Shichang Ouyang, Xiaodong He, Fajie Yuan, Xiaohua Liu

IJCAI 2018 Approximating Word Ranking and Negative Sampling for Word Embedding Guibing Guo, Shichang Ouyang, Fajie Yuan, Xingwei Wang

AAAI 2018 VSE-Ens: Visual-Semantic Embeddings with Efficient Negative Sampling Guibing Guo, Songlin Zhai, Fajie Yuan, Yuan Liu, Xingwei Wang

UAI 2018 fBGD: Learning Embeddings from Positive Unlabeled Data with BGD Fajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose

AAAI 2015 TrustSVD: Collaborative Filtering with Both the Explicit and Implicit Influence of User Trust and of Item Ratings Guibing Guo, Jie Zhang, Neil Yorke-Smith

IJCAI 2013 A Novel Bayesian Similarity Measure for Recommender Systems Guibing Guo, Jie Zhang, Neil Yorke-Smith

IJCAI 2013 Improving the Performance of Recommender Systems by Alleviating the Data Sparsity and Cold Start Problems Guibing Guo