conftrace_

Quanming Yao

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

Achievements

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+13 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (12) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 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)

Research topics

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