Ying Nian Wu

Designing Instance-Level Sampling Schedules via REINFORCE with James-Stein Shrinkage CVPR 2026 Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models ACL 2026 Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions ACL 2026 Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy ACL 2026 Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability ACL 2026 Why Are We Moral? An LLM-based Agent Simulation Approach to the Study of Moral Evolution ACL 2026 An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning ICML 2025 Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models ICLR 2025 DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models ICLR 2025 Explore the Reasoning Capability of LLMs in the Chess Testbed NAACL 2025 Latent Adaptive Planner for Dynamic Manipulation CoRL 2025 Latent Thought Models with Variational Bayes Inference-Time Computation ICML 2025 Monitoring Primitive Interactions During the Training of DNNs AAAI 2025 On Conformal Isometry of Grid Cells: Learning Distance-Preserving Position Embedding ICLR 2025 On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models NAACL 2025 SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation ICLR 2025 Value-Spectrum: Quantifying Preferences of Vision-Language Models via Value Decomposition in Social Media Contexts ACL 2025 Visual Agents as Fast and Slow Thinkers ICLR 2025 Atlas3D: Physically Constrained Self-Supporting Text-to-3D for Simulation and Fabrication NeurIPS 2024 EM Distillation for One-step Diffusion Models NeurIPS 2024 Flow Priors for Linear Inverse Problems via Iterative Corrupted Trajectory Matching NeurIPS 2024 Image Translation as Diffusion Visual Programmers ICLR 2024 INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning RSS 2024 Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference NeurIPS 2024 Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood ICLR 2024 Learning for Transductive Threshold Calibration in Open-World Recognition CVPR 2024 Molecule Design by Latent Prompt Transformer NeurIPS 2024 Neural-Symbolic Recursive Machine for Systematic Generalization ICLR 2024 No Head Left Behind – Multi-Head Alignment Distillation for Transformers AAAI 2024 Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models ECCV 2024 Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation ECCV 2024 The motion planning neural circuit in goal-directed navigation as Lie group operator search NeurIPS 2024 Threshold-Consistent Margin Loss for Open-World Deep Metric Learning ICLR 2024 Visual Fourier Prompt Tuning NeurIPS 2024 A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics ICLR 2023 A Recurrent Neural Circuit Mechanism of Temporal-scaling Equivariant Representation NeurIPS 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models NeurIPS 2023 Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference ICML 2023 Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning ICLR 2023 Learning Energy-Based Prior Model with Diffusion-Amortized MCMC NeurIPS 2023 Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023 Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023 Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023 On the Complexity of Bayesian Generalization ICML 2023 Deep Generative model with Hierarchical Latent Factors for Time Series Anomaly Detection AISTATS 2022 Latent Diffusion Energy-Based Model for Interpretable Text Modelling ICML 2022 Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning ECCV 2022 Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion AAAI 2022 MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC ICLR 2022 SAS: Self-Augmentation Strategy for Language Model Pre-training AAAI 2022 Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering CVPR 2022 Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors NeurIPS 2022 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021 Generative Text Modeling through Short Run Inference EACL 2021 Iterative Teacher-Aware Learning NeurIPS 2021 Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification ICML 2021 Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation AAAI 2021 Learning Energy-Based Models by Diffusion Recovery Likelihood ICLR 2021 Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis CVPR 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NeurIPS 2021 Robust Transfer Learning with Pretrained Language Models through Adapters ACL 2021 SCRIPT: Self-Critic PreTraining of Transformers NAACL 2021 SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues ACL 2021 Trajectory Prediction With Latent Belief Energy-Based Model CVPR 2021 Unsupervised Foreground Extraction via Deep Region Competition NeurIPS 2021 Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning ICML 2020 Flow Contrastive Estimation of Energy-Based Models CVPR 2020 Inducing Hierarchical Compositional Model by Sparsifying Generator Network CVPR 2020 Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020 Learning Latent Space Energy-Based Prior Model NeurIPS 2020 Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference ECCV 2020 Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns AAAI 2020 On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models AAAI 2020 Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019 Interpreting CNNs via Decision Trees CVPR 2019 Learning Dynamic Generator Model by Alternating Back-Propagation through Time AAAI 2019 Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion ICLR 2019 Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model NeurIPS 2019 Multi-Agent Tensor Fusion for Contextual Trajectory Prediction CVPR 2019 Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019 Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation NeurIPS 2018 Interpretable Convolutional Neural Networks CVPR 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Replicating Active Appearance Model by Generator Network IJCAI 2018 Generative Hierarchical Learning of Sparse FRAME Models CVPR 2017 Mining Object Parts From CNNs via Active Question-Answering CVPR 2017 Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet CVPR 2017 Mining And-Or Graphs for Graph Matching and Object Discovery ICCV 2015 Learning Inhomogeneous FRAME Models for Object Patterns CVPR 2014 Unsupervised Learning of Dictionaries of Hierarchical Compositional Models CVPR 2014 Cosegmentation and Cosketch by Unsupervised Learning ICCV 2013