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Ying Nian Wu

88 papers · 2013–2025 · 16 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🌈 Renaissance Researcher (8) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (21) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (42) πŸ”¬ Deep Specialist (29) πŸ† Keyword Champion (4) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (321) ⚑ Prolific Year (15) πŸ’Ž Century Club (88) πŸ”₯ Unstoppable (9)

Conferences

CVPR (21) NIPS (17) ICLR (14) AAAI (8) ICML (7) ECCV (4) ACL (3) ICCV (3) NAACL (3) IJCNLP (2) AISTATS (1) CORL (1) EACL (1) IJCAI (1) RSS (1) UAI (1)

Top co-authors

Song-chun Zhu (42) Ruiqi Gao (17) Jianwen Xie (16) Bo Pang (15) Erik Nijkamp (11) Tian Han (11) Sirui Xie (7) Yixin Zhu (7) Siyuan Huang (6) Deqian Kong (6)

Keywords

generative model (20) energy-based model (18) markov chain monte carlo (11) variational inference (7) latent space (7) convolutional neural network (7) representation learning (6) maximum likelihood (5) unsupervised learning (5) mcmc sampling (4) image generation (4) langevin dynamics (4) and-or graph (4) diffusion model (3) visual question answering (3) knowledge distillation (3) adversarial learning (3) convolutional network (3) anomaly detection (3) transfer learning (3)

Papers

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