Yan Liu

Collaborative Chain-of-Agents for Parametric-Retrieved Knowledge Synergy ACL 2026 Efficient Paths and Dense Rewards: Probabilistic Flow Reasoning for Large Language Models ACL 2026 RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation AAAI 2026 From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension AAAI 2026 Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs AAAI 2026 Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling AAAI 2025 Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025 Mixture of Knowledge Minigraph Agents for Literature Review Generation AAAI 2025 A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation ICLR 2025 HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth EMNLP 2025 CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation IJCAI 2025 InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025 E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes ICCV 2025 FLIQA-AD: a Fusion Model with Large Language Model for Better Diagnose and MMSE Prediction of Alzheimer’s Disease NAACL 2025 SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization ICML 2025 Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025 Stackelberg vs. Nash in the Lottery Colonel Blotto Game IJCAI 2025 EDyGS: Event Enhanced Dynamic 3D Radiance Fields from Blurry Monocular Video IJCAI 2025 Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair EMNLP 2025 PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations ACL 2025 The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models ICLR 2024 Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 2024 Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training INTERSPEECH 2024 MuChin: A Chinese Colloquial Description Benchmark for Evaluating Language Models in the Field of Music IJCAI 2024 Physics-Constrained Comprehensive Optical Neural Networks NIPS 2024 Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference NIPS 2024 D3ETR: Decoder Distillation for Detection Transformer IJCAI 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024 Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model AAAI 2024 Beyond Mimicking Under-Represented Emotions: Deep Data Augmentation with Emotional Subspace Constraints for EEG-Based Emotion Recognition AAAI 2024 Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation AAAI 2024 GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting AAAI 2024 LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024 StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024 CodeM: Less Data Yields More Versatility via Ability Matrix ACL 2024 TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024 TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ICLR 2024 Uncovering and Quantifying Social Biases in Code Generation NIPS 2023 Hierarchical Gaussian Mixture based Task Generative Model for Robust Meta-Learning NIPS 2023 Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders AAAI 2023 DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023 Uncovering and Categorizing Social Biases in Text-to-SQL ACL 2023 SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers CVPR 2023 GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video ICCV 2023 EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment IJCAI 2022 Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NIPS 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NIPS 2022 MPII: Multi-Level Mutual Promotion for Inference and Interpretation ACL 2022 I-SEA: Importance Sampling and Expected Alignment-Based Deep Distance Metric Learning for Time Series Analysis and Embedding AAAI 2022 Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data IJCAI 2022 Domain-Aware Self-Attention for Multi-Domain Neural Machine Translation INTERSPEECH 2021 Additive Phoneme-Aware Margin Softmax Loss for Language Recognition INTERSPEECH 2021 Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes WACV 2021 Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021 Gradient-based optimization for multi-resource spatial coverage problems UAI 2021 Depth Privileged Object Detection in Indoor Scenes via Deformation Hallucination AAAI 2021 Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition AAAI 2021 VigDet: Knowledge Informed Neural Temporal Point Process for Coordination Detection on Social Media NIPS 2021 Automatic Error Correction for Speaker Embedding Learning with Noisy Labels INTERSPEECH 2021 An Examination of Fairness of AI Models for Deepfake Detection IJCAI 2021 Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity NIPS 2021 Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker Verification INTERSPEECH 2021 Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics ICLR 2020 How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NIPS 2020 Multi-agent Trajectory Prediction with Fuzzy Query Attention NIPS 2020 Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection ICLR 2020 NoiseRank: Unsupervised Label Noise Reduction with Dependence Models ECCV 2020 Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks ECCV 2020 Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020 GumDrop at the DISRPT2019 Shared Task: A Model Stacking Approach to Discourse Unit Segmentation and Connective Detection NAACL 2019 Adaptive Gradient Methods with Dynamic Bound of Learning Rate ICLR 2019 Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting AAAI 2019 Scalable Interpretable Multi-Response Regression via SEED JMLR 2019 A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018 Tensor Regression Meets Gaussian Processes AISTATS 2018 Matrix completability analysis via graph k-connectivity AISTATS 2018 Detecting Statistical Interactions from Neural Network Weights ICLR 2018 Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting ICLR 2018 Automatically Inferring Data Quality for Spatiotemporal Forecasting ICLR 2018 Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series ICML 2018 Neural User Response Generator: Fake News Detection with Collective User Intelligence IJCAI 2018 Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NIPS 2018 Timeline Summarization from Social Media with Life Cycle Models IJCAI 2016 Learning Influence Functions from Incomplete Observations NIPS 2016 Learning from Multiway Data: Simple and Efficient Tensor Regression ICML 2016 SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NIPS 2016 Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015 Model Selection for Topic Models via Spectral Decomposition AISTATS 2015 HawkesTopic: A Joint Model for Network Inference and Topic Modeling from Text-Based Cascades ICML 2015 Accelerated Online Low Rank Tensor Learning for Multivariate Spatiotemporal Streams ICML 2015 Functional Subspace Clustering with Application to Time Series ICML 2015 Fast Multivariate Spatio-temporal Analysis via Low Rank Tensor Learning NIPS 2014 Multiple Instance Learning on Structured Data NIPS 2011