Yuan Qi

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