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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