Yao, Quanming

49 publications

NeurIPS 2025 Adaptive Preference Arithmetic: A Personalized Agent with Adaptive Preference Arithmetic for Dynamic Preference Modeling Hongyi Nie, Yaqing Wang, Mingyang Zhou, Feiyang Pan, Quanming Yao, Zhen Wang
IJCAI 2025 Automated Decision-Making on Networks with LLMs Through Knowledge-Guided Evolution Xiaohan Zheng, Lanning Wei, Yong Li, Quanming Yao
ICLR 2025 Curriculum-Aware Training for Discriminating Molecular Property Prediction Models Hansi Yang, Quanming Yao, James Kwok
CPAL 2025 Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question Answering Guangyi Liu, Yongqi Zhang, Yong Li, Quanming Yao
ICLR 2025 Erasing Concept Combination from Text-to-Image Diffusion Model Hongyi Nie, Quanming Yao, Yang Liu, Zhen Wang, Yatao Bian
ICML 2025 Hierarchical Graph Tokenization for Molecule-Language Alignment Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
NeurIPS 2025 Learning to Learn with Contrastive Meta-Objective Shiguang Wu, Yaqing Wang, Yatao Bian, Quanming Yao
ICLRW 2025 UniMoT: Unified Molecule-Text Language Model with Discrete Token Representation Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Quanming Yao
IJCAI 2025 Unified Molecule-Text Language Model with Discrete Token Representation Shuhan Guo, Yatao Bian, Ruibing Wang, Nan Yin, Zhen Wang, Quanming Yao
ICLR 2025 Why In-Context Learning Models Are Good Few-Shot Learners? Shiguang Wu, Yaqing Wang, Quanming Yao
NeurIPS 2024 Customized Subgraph Selection and Encoding for Drug-Drug Interaction Prediction Haotong Du, Quanming Yao, Juzheng Zhang, Yang Liu, Zhen Wang
ICMLW 2024 Improving Graph-Language Alignment with Hierarchical Graph Tokenization Yongqiang Chen, Quanming Yao, Juzheng Zhang, James Cheng, Yatao Bian
ICLR 2024 Less Is More: One-Shot Subgraph Reasoning on Large-Scale Knowledge Graphs Zhanke Zhou, Yongqi Zhang, Jiangchao Yao, Quanming Yao, Bo Han
IJCAI 2024 PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction Shiguang Wu, Yaqing Wang, Quanming Yao
AAAI 2024 Robust Communicative Multi-Agent Reinforcement Learning with Active Defense Lebin Yu, Yunbo Qiu, Quanming Yao, Yuan Shen, Xudong Zhang, Jian Wang
AAAI 2024 Towards Human-like Learning from Relational Structured Data Quanming Yao
ICLR 2024 Understanding Expressivity of GNN in Rule Learning Haiquan Qiu, Yongqi Zhang, Yong Li, Quanming Yao
NeurIPS 2023 Combating Bilateral Edge Noise for Robust Link Prediction Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han
ICLR 2023 Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
NeurIPS 2023 Efficient Hyper-Parameter Optimization with Cubic Regularization Zhenqian Shen, Hansi Yang, Yong Li, James T. Kwok, Quanming Yao
ICLR 2023 Learning Symbolic Models for Graph-Structured Physical Mechanism Hongzhi Shi, Jingtao Ding, Yufan Cao, Quanming Yao, Li Liu, Yong Li
ICML 2023 On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han
TMLR 2023 Understanding and Simplifying Architecture Search in Spatio-Temporal Graph Neural Networks Zhen Xu, Quanming Yao, Yong Li, Qiang Yang
ICML 2022 Fast and Provable Nonconvex Tensor RPCA Haiquan Qiu, Yao Wang, Shaojie Tang, Deyu Meng, Quanming Yao
JMLR 2022 Low-Rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization Quanming Yao, Yaqing Wang, Bo Han, James T. Kwok
ECCV 2022 Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration Wei He, Quanming Yao, Naoto Yokoya, Tatsumi Uezato, Hongyan Zhang, Liangpei Zhang
NeurIPS 2021 Automorphic Equivalence-Aware Graph Neural Network Fengli Xu, Quanming Yao, Pan Hui, Yong Li
NeurIPS 2021 Progressive Feature Interaction Search for Deep Sparse Network Chen Gao, Yinfeng Li, Quanming Yao, Depeng Jin, Yong Li
NeurIPS 2021 Property-Aware Relation Networks for Few-Shot Molecular Property Prediction Yaqing Wang, Abulikemu Abuduweili, Quanming Yao, Dejing Dou
ECCV 2020 AutoSTR: Efficient Backbone Search for Scene Text Recognition Hui Zhang, Quanming Yao, Mingkun Yang, Yongchao Xu, Xiang Bai
AAAI 2020 Efficient Neural Architecture Search via Proximal Iterations Quanming Yao, Ju Xu, Wei-Wei Tu, Zhanxing Zhu
NeurIPS 2020 Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding Yongqi Zhang, Quanming Yao, Lei Chen
ICML 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust Bo Han, Gang Niu, Xingrui Yu, Quanming Yao, Miao Xu, Ivor Tsang, Masashi Sugiyama
ICML 2020 Searching to Exploit Memorization Effect in Learning with Noisy Labels Quanming Yao, Hansi Yang, Bo Han, Gang Niu, James Tin-Yau Kwok
NeurIPS 2020 Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering Jingtao Ding, Yuhan Quan, Quanming Yao, Yong Li, Depeng Jin
ICML 2019 Efficient Nonconvex Regularized Tensor Completion with Structure-Aware Proximal Iterations Quanming Yao, James Tin-Yau Kwok, Bo Han
MLJ 2019 Millionaire: A Hint-Guided Approach for Crowdsourcing Bo Han, Quanming Yao, Yuangang Pan, Ivor W. Tsang, Xiaokui Xiao, Qiang Yang, Masashi Sugiyama
IJCAI 2019 Privacy-Preserving Stacking with Application to Cross-Organizational Diabetes Prediction Quanming Yao, Xiawei Guo, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang
IJCAI 2019 Robust Learning from Noisy Side-Information by Semidefinite Programming En-Liang Hu, Quanming Yao
NeurIPS 2018 Co-Teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, Masashi Sugiyama
ICML 2018 Online Convolutional Sparse Coding with Sample-Dependent Dictionary Yaqing Wang, Quanming Yao, James Tin-Yau Kwok, Lionel M. Ni
NeurIPS 2018 Scalable Robust Matrix Factorization with Nonconvex Loss Quanming Yao, James Kwok
IJCAI 2017 Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems Quanming Yao, James T. Kwok, Fei Gao, Wei Chen, Tie-Yan Liu
AAAI 2017 Efficient Sparse Low-Rank Tensor Completion Using the Frank-Wolfe Algorithm Xiawei Guo, Quanming Yao, James Tin-Yau Kwok
ICLR 2017 Loss-Aware Binarization of Deep Networks Lu Hou, Quanming Yao, James T. Kwok
ICML 2016 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity Quanming Yao, James Kwok
IJCAI 2016 Greedy Learning of Generalized Low-Rank Models Quanming Yao, James T. Kwok
IJCAI 2015 Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion Quanming Yao, James T. Kwok
AAAI 2015 Colorization by Patch-Based Local Low-Rank Matrix Completion Quanming Yao, James T. Kwok