← Authors

Yuan Qi

46 papers · 2006–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) 🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (12) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Keyword Champion πŸ† Grand Slam πŸ‘₯ Mega-Team (26) 🌱 Topic Pioneer ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (227) πŸ’Ž Century Club (43) πŸ“ˆ Trend Setter

Conferences

AAAI (10) ICML (7) NIPS (7) ACL (4) EMNLP (4) ICLR (4) IJCAI (4) ICCV (3) AISTATS (2) MICCAI (1)

Top co-authors

Chao Qu (10) Le Song (10) Yuan Cheng (7) Weidi Xu (6) Wei Chu (6) Xiaoyu Tan (6) Zenglin Xu (5) Jun Zhou (4) Xin Guo (4) Xihe Qiu (4)

Research topics

Privacy (1)

Keywords

variational inference (7) bayesian inference (4) gaussian process (3) self-supervised learning (3) reinforcement learning (3) large language model (3) graph neural network (3) medical imaging (3) graph attention network (2) representation learning (2) diffusion model (2) stochastic optimization (2) instruction fine-tuning (2) domain generalization (2) nonparametric bayesian (2) expectation propagation (2) in-context learning (2) pet imaging (2) latent dirichlet allocation (2) variational bayesian (2)

Papers

Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026
Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026
PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography AAAI 2026
Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025
Efficient Network Automatic Relevance Determination ICML 2025
Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025
SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images ICCV 2025
Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning ICCV 2025
4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025
Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support MICCAI 2025
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025
Equivariant Masked Position Prediction for Efficient Molecular Representation ICLR 2025
Hybrid Directional Graph Neural Network for Molecules ICLR 2024
ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024
Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness EMNLP 2023
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching EMNLP 2023
SaFER: A Robust and Efficient Framework for Fine-tuning BERT-based Classifier with Noisy Labels ACL 2023
Provably Invariant Learning without Domain Information ICML 2023
Modeling the Field Value Variations and Field Interactions Simultaneously for Fraud Detection AAAI 2021
Double Neural Counterfactual Regret Minimization ICLR 2020
Bandit Samplers for Training Graph Neural Networks NIPS 2020
Long Short-Term Sample Distillation AAAI 2020
Cost-Effective Incentive Allocation via Structured Counterfactual Inference AAAI 2020
SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check ACL 2020
Question Directed Graph Attention Network for Numerical Reasoning over Text EMNLP 2020
Efficient Probabilistic Logic Reasoning with Graph Neural Networks ICLR 2020
Temporal Logic Point Processes ICML 2020
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020
Latent Dirichlet Allocation for Internet Price War AAAI 2019
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NIPS 2019
GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019
Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017
Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models IJCAI 2016
Distributed Flexible Nonlinear Tensor Factorization NIPS 2016
Scalable Nonparametric Multiway Data Analysis AISTATS 2015
EigenGP: Gaussian Process Models with Adaptive Eigenfunctions IJCAI 2015
Message passing with l1 penalized KL minimization ICML 2013
t-divergence Based Approximate Inference NIPS 2011
EigenNet: A Bayesian hybrid of generative and conditional models for sparse learning NIPS 2011
Nonparametric Bayesian Matrix Factorization by Power-EP AISTATS 2010
Parallel Inference for Latent Dirichlet Allocation on Graphics Processing Units NIPS 2009
Parameter Expanded Variational Bayesian Methods NIPS 2006