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Yan Liu

92 papers · 2011–2026 · 18 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (14) πŸ—ΊοΈ Taxonomy Completionist (19) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (18) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (12) πŸ‘₯ Mega-Team (71) πŸ† Grand Slam πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (380) ⚑ Prolific Year (7) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (89) πŸ”₯ Unstoppable (8) ❓ The Questioner

Conferences

AAAI (16) NIPS (15) IJCAI (11) ICLR (10) ACL (9) ICML (8) INTERSPEECH (5) EMNLP (3) AISTATS (3) ECCV (2) ICCV (2) NAACL (2) COLT (1) CVPR (1) ACML (1) JMLR (1) UAI (1) WACV (1)

Top co-authors

Dehua Cheng (7) Defu Cao (7) Gong Chen (6) Bruce X.B. Yu (5) Michael Tsang (5) Zhi Zhang (5) Qi Zhang (5) Shihan Dou (5) Chuizheng Meng (4) Xiaokang Chen (4)

Research topics

Digital Humanities (1)

Keywords

large language model (9) tensor decomposition (5) attention mechanism (5) multi-task learning (5) music generation (4) dimensionality reduction (3) code generation (3) multi-agent system (3) time series (3) object detection (3) representation learning (2) deepfake detection (2) speaker embedding (2) feature learning (2) preference optimization (2) benchmark evaluation (2) bayesian inference (2) zero-shot learning (2) text classification (2) causal inference (2)

Papers

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
RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation AAAI 2026
Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair EMNLP 2025
CompLex: Music Theory Lexicon Constructed by Autonomous Agents for Automatic Music Generation IJCAI 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
Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025
E-NeMF: Event-based Neural Motion Field for Novel Space-time View Synthesis of Dynamic Scenes ICCV 2025
HighMATH: Evaluating Math Reasoning of Large Language Models in Breadth and Depth EMNLP 2025
SERENA: A Unified Stochastic Recursive Variance Reduced Gradient Framework for Riemannian Non-Convex Optimization ICML 2025
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly ICLR 2025
A Large-scale Dataset and Benchmark for Commuting Origin-Destination Flow Generation ICLR 2025
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
FLIQA-AD: a Fusion Model with Large Language Model for Better Diagnose and MMSE Prediction of Alzheimer’s Disease NAACL 2025
PsyAdvisor: A Plug-and-Play Strategy Advice Planner with Proactive Questioning in Psychological Conversations ACL 2025
TextGenSHAP: Scalable Post-Hoc Explanations in Text Generation with Long Documents ACL 2024
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models ICLR 2024
Acoustic changes in speech prosody produced by children with autism after robot-assisted speech training INTERSPEECH 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
D3ETR: Decoder Distillation for Detection Transformer IJCAI 2024
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting ICLR 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
Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series ICML 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization EMNLP 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
Physics-Informed Long-Sequence Forecasting From Multi-Resolution Spatiotemporal Data IJCAI 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
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media NIPS 2022
Sparse Interaction Additive Networks via Feature Interaction Detection and Sparse Selection NIPS 2022
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment IJCAI 2022
Automatic Error Correction for Speaker Embedding Learning with Noisy Labels INTERSPEECH 2021
Additive Phoneme-Aware Margin Softmax Loss for Language Recognition INTERSPEECH 2021
Domain-Aware Self-Attention for Multi-Domain Neural Machine Translation INTERSPEECH 2021
Phoneme-Aware and Channel-Wise Attentive Learning for Text Dependent Speaker Verification INTERSPEECH 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
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic Similarity NIPS 2021
Physics-aware Spatiotemporal Modules with Auxiliary Tasks for Meta-Learning IJCAI 2021
An Examination of Fairness of AI Models for Deepfake Detection IJCAI 2021
Gradient-based optimization for multi-resource spatial coverage problems UAI 2021
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes WACV 2021
NoiseRank: Unsupervised Label Noise Reduction with Dependence Models ECCV 2020
Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics ICLR 2020
Feature Interaction Interpretability: A Case for Explaining Ad-Recommendation Systems via Neural Interaction Detection ICLR 2020
Generative Attention Networks for Multi-Agent Behavioral Modeling AAAI 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention NIPS 2020
How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NIPS 2020
Semi-Supervised Crowd Counting via Self-Training on Surrogate Tasks ECCV 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
Neural User Response Generator: Fake News Detection with Collective User Intelligence IJCAI 2018
Hierarchical Deep Generative Models for Multi-Rate Multivariate Time Series ICML 2018
Automatically Inferring Data Quality for Spatiotemporal Forecasting ICLR 2018
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting ICLR 2018
Detecting Statistical Interactions from Neural Network Weights ICLR 2018
A Scalable Heterogeneous Parallel SOM Based on MPI/CUDA ACML 2018
Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability NIPS 2018
Matrix completability analysis via graph k-connectivity AISTATS 2018
Tensor Regression Meets Gaussian Processes AISTATS 2018
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling NIPS 2016
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
Model Selection for Topic Models via Spectral Decomposition AISTATS 2015
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 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