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Tian Han

21 papers · 2018–2024 · 11 conferences · across top CS/AI conferences

Achievements

πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (28) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (6) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (15) πŸ”¬ Deep Specialist (11) 🀝 Dynamic Duo (11) πŸ† Keyword Champion πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (62) πŸ’Ž Century Club (21) ⚑ Prolific Year (5)

Conferences

CVPR (4) AAAI (3) ICML (3) NIPS (3) ECCV (2) CORL (1) EACL (1) ICCV (1) IJCAI (1) UAI (1) WACV (1)

Top co-authors

Ying Nian Wu (11) Song-chun Zhu (7) Erik Nijkamp (6) Jiali Cui (5) Bo Pang (5) Hanao Li (2) Linqi Zhou (2) Mitch Hill (2) Liang Qiu (1) Zhisheng Xiao (1)

Keywords

energy-based model (9) generative model (9) markov chain monte carlo (6) latent space (5) variational inference (4) maximum likelihood (3) langevin dynamics (3) anomaly detection (3) unsupervised learning (2) variational autoencoder (2) mcmc sampling (2) adversarial learning (2) hierarchical representation (2) latent variable (2) feature disentanglement (1) autonomous driving (1) language modeling (1) graph representation learning (1) image generation (1) symbolic reasoning (1)

Papers

Layerwise Change of Knowledge in Neural Networks ICML 2024
Learning Multimodal Latent Generative Models with Energy-Based Prior ECCV 2024
Enforcing Sparsity on Latent Space for Robust and Explainable Representations WACV 2024
Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024
Learning Latent Space Hierarchical EBM Diffusion Models ICML 2024
Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023
Learning Energy-based Model via Dual-MCMC Teaching NIPS 2023
Learning Hierarchical Features with Joint Latent Space Energy-Based Prior ICCV 2023
Molecule Design by Latent Space Energy-Based Modeling and Gradual Distribution Shifting UAI 2023
Adaptive Multi-stage Density Ratio Estimation for Learning Latent Space Energy-based Model NIPS 2022
Learning from the Tangram to Solve Mini Visual Tasks AAAI 2022
Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs AAAI 2022
Generative Text Modeling through Short Run Inference EACL 2021
Neuro-Symbolic Program Search for Autonomous Driving Decision Module Design CORL 2020
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model CVPR 2020
Learning Latent Space Energy-Based Prior Model NIPS 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
Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model CVPR 2019
Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network CVPR 2019
Replicating Active Appearance Model by Generator Network IJCAI 2018