Yuan Qi

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

Achievements

+15 more ↓

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (12) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10)

🏃 Academic Marathon (19) 🌈 Renaissance Researcher (11) 🗺️ Taxonomy Completionist (12) 🤝 Dynamic Duo (10) 👑 Triple Crown 🧬 Topic Evolution 🏆 Keyword Champion 🏆 Grand Slam 👥 Mega-Team (26) 🌱 Topic Pioneer ⚡ Prolific Year (5) 🚀 Conference Pioneer 🗃️ Keyword Collector (227) 💎 Century Club (43) 📈 Trend Setter

Conferences

AAAI (10) ICML (7) NIPS (7) ACL (5) EMNLP (4) ICLR (4) IJCAI (4) ICCV (3) AISTATS (2) MICCAI (1)

Top co-authors

Chao Qu (10) Le Song (10) Weidi Xu (7) Wei Chu (7) Yuan Cheng (7) 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) large language model (4) reinforcement learning (3) gaussian process (3) self-supervised learning (3) graph neural network (3) medical imaging (3) graph attention network (2) representation learning (2) diffusion model (2) stochastic optimization (2) supervised 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

Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning ACL 2026 Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model AAAI 2026 PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography AAAI 2026 Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning AAAI 2026 Towards a Universal 3D Medical Multi-modality Generalization via Learning Personalized Invariant Representation ICCV 2025 Tensor Network: from the Perspective of AI4Science and Science4AI IJCAI 2025 Efficient Network Automatic Relevance Determination ICML 2025 CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference ACL 2025 SegAnyPET: Universal Promptable Segmentation from Positron Emission Tomography Images ICCV 2025 Equivariant Masked Position Prediction for Efficient Molecular Representation ICLR 2025 Structure-aware Semantic Discrepancy and Consistency for 3D Medical Image Self-supervised Learning ICCV 2025 Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support MICCAI 2025 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance AAAI 2025 OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models ACL 2025 Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs ICML 2024 Hybrid Directional Graph Neural Network for Molecules ICLR 2024 ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average EMNLP 2024 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 Self-Criticism: Aligning Large Language Models with their Understanding of Helpfulness, Honesty, and Harmlessness EMNLP 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 GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019 Latent Dirichlet Allocation for Internet Price War AAAI 2019 Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019 Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning NIPS 2019 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 Distributed Flexible Nonlinear Tensor Factorization NIPS 2016 Fast Laplace Approximation for Sparse Bayesian Spike and Slab Models IJCAI 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