Quanming Yao
50 papers · 2015–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π Renaissance Researcher (6) π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Academic Marathon
(10)
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(12)
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Deep Specialist
(14)
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Keyword Champion
(3)
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Triple Crown
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Grand Slam
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Keyword Collector
(173)
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Prolific Year
(6)
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Trend Setter
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Century Club
(49)
π₯
Unstoppable
(11)
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The Questioner
Conferences
NIPS (10)
ICML (8)
IJCAI (8)
ICLR (7)
EMNLP (5)
AAAI (4)
ACL (3)
ECCV (2)
JMLR (2)
CVPR (1)
Top co-authors
Research topics
Keywords
graph neural network
(11)
neural architecture search
(4)
link prediction
(3)
nonconvex optimization
(3)
nonconvex regularization
(3)
proximal algorithm
(3)
large language model
(3)
molecular property prediction
(2)
few-shot learning
(2)
frank-wolfe algorithm
(2)
tensor completion
(2)
robust learning
(2)
proximal gradient
(2)
noisy label
(2)
robust optimization
(2)
low-rank approximation
(2)
short text classification
(2)
image denoising
(2)
multi-agent reinforcement learning
(2)
graph representation
(2)
Papers
Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games
AAAI 2026
Curriculum-aware Training for Discriminating Molecular Property Prediction Models
ICLR 2025
Erasing Concept Combination from Text-to-Image Diffusion Model
ICLR 2025
Why In-Context Learning Models are Good Few-Shot Learners?
ICLR 2025
Automated Decision-Making on Networks with LLMs through Knowledge-Guided Evolution
IJCAI 2025
Unified Molecule-Text Language Model with Discrete Token Representation
IJCAI 2025
Think Both Ways: Teacher-Student Bidirectional Reasoning Enhances MCQ Generation and Distractor Quality
ACL 2025
Nested-Refinement Metamorphosis: Reflective Evolution for Efficient Optimization of Networking Problems
ACL 2025
Hierarchical Graph Tokenization for Molecule-Language Alignment
ICML 2025
Superpose Task-specific Features for Model Merging
EMNLP 2025
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
ICLR 2024
Robust Communicative Multi-Agent Reinforcement Learning with Active Defense
AAAI 2024
Towards Human-like Learning from Relational Structured Data
AAAI 2024
PACIA: Parameter-Efficient Adapter for Few-Shot Molecular Property Prediction
IJCAI 2024
Understanding Expressivity of GNN in Rule Learning
ICLR 2024
Customized Subgraph Selection and Encoding for Drug-drug Interaction Prediction
NIPS 2024
Combating Bilateral Edge Noise for Robust Link Prediction
NIPS 2023
Efficient Hyper-parameter Optimization with Cubic Regularization
NIPS 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
Relation-aware Ensemble Learning for Knowledge Graph Embedding
EMNLP 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning
ICLR 2023
Learning Symbolic Models for Graph-structured Physical Mechanism
ICLR 2023
Fast and Provable Nonconvex Tensor RPCA
ICML 2022
Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization
JMLR 2022
Spectrum-Aware and Transferable Architecture Search for Hyperspectral Image Restoration
ECCV 2022
Efficient Hyper-parameter Search for Knowledge Graph Embedding
ACL 2022
Simplified Graph Learning for Inductive Short Text Classification
EMNLP 2022
Search to Pass Messages for Temporal Knowledge Graph Completion
EMNLP 2022
Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification
EMNLP 2021
Progressive Feature Interaction Search for Deep Sparse Network
NIPS 2021
Automorphic Equivalence-aware Graph Neural Network
NIPS 2021
Property-Aware Relation Networks for Few-Shot Molecular Property Prediction
NIPS 2021
AutoSTR: Efficient Backbone Search for Scene Text Recognition
ECCV 2020
Interstellar: Searching Recurrent Architecture for Knowledge Graph Embedding
NIPS 2020
Efficient Neural Architecture Search via Proximal Iterations
AAAI 2020
Searching to Exploit Memorization Effect in Learning with Noisy Labels
ICML 2020
Simplify and Robustify Negative Sampling for Implicit Collaborative Filtering
NIPS 2020
SIGUA: Forgetting May Make Learning with Noisy Labels More Robust
ICML 2020
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising
CVPR 2019
Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction
IJCAI 2019
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations
ICML 2019
Robust Learning from Noisy Side-information by Semidefinite Programming
IJCAI 2019
Online Convolutional Sparse Coding with Sample-Dependent Dictionary
ICML 2018
Scalable Robust Matrix Factorization with Nonconvex Loss
NIPS 2018
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
JMLR 2018
Co-teaching: Robust training of deep neural networks with extremely noisy labels
NIPS 2018
Efficient Inexact Proximal Gradient Algorithm for Nonconvex Problems
IJCAI 2017
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
ICML 2016
Greedy Learning of Generalized Low-Rank Models
IJCAI 2016
Accelerated Inexact Soft-Impute for Fast Large-Scale Matrix Completion
IJCAI 2015