← Authors

Quanming Yao

50 papers · 2015–2026 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸƒ Academic Marathon (10) πŸ—ΊοΈ Taxonomy Completionist (12) πŸ”¬ Deep Specialist (14) πŸ† Keyword Champion (3) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (173) ⚑ Prolific Year (6) πŸ“ˆ Trend Setter πŸ’Ž Century Club (49) πŸ”₯ Unstoppable (11) ❓ 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

Bo Han (9) Yong Li (9) Yaqing Wang (7) James T. Kwok (6) James Kwok (5) Yongqi Zhang (5) Zhanke Zhou (4) Zhen Wang (4) Jiangchao Yao (4) Haiquan Qiu (3)

Research topics

Privacy (1)

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