Kuan-Chieh Wang

18 papers · 2017–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

Jump to papers ↓

+5 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38)

🏆 Keyword Champion 🧭 Keyword Pioneer 💎 Century Club · Bronze ⚡ Prolific Year · Productive 🗃️ Keyword Collector (89)

Venues

NeurIPS (5) ICML (4) CVPR (3) ICLR (2) AISTATS (1) ECCV (1) EMNLP (1) ICCV (1)

Top co-authors

Serena Yeung (5) Richard Zemel (4) Sergey Tulyakov (3) Kfir Aberman (3) Joern-Henrik Jacobsen (3) Roger Grosse (2) Will Grathwohl (2) Shih-Cheng Huang (2) David Duvenaud (2) Orr Zohar (2)

Research topics

Deep Learning (13) Models (11) Machine Learning (9) Artificial Intelligence (7) Learning Types (5) Computer Vision (4) Architectures (4) Core AI (4) Analysis (3) Core Methods (3) Learning Paradigms (3) Optimization & Theory (3) Application Areas (2) Bayesian & Probabilistic (2) Generation (2)

Keywords

multimodal learning (3) neural process (2) neural field (2) generative adversarial network (2) generative model (2) energy-based model (2) diffusion model (2) vision-language model (2) identity encoding (2) image generation (1) embedding learning (1) uncertainty quantification (1) video generation (1) video synthesis (1) few-shot learning (1) 3d reconstruction (1) text classification (1) error detection (1) transfer learning (1) zero-shot learning (1)

Papers

I Think, Therefore I Diffuse: Enabling Multimodal In-Context Reasoning in Diffusion Models ICML 2025 Omni-ID: Holistic Identity Representation Designed for Generative Tasks CVPR 2025 Interpreting the Weight Space of Customized Diffusion Models NeurIPS 2024 Viewpoint textual inversion: discovering scene representations and 3D view control in 2D diffusion models ECCV 2024 VIMI: Grounding Video Generation through Multi-modal Instruction EMNLP 2024 Diagnosing and Rectifying Vision Models using Language ICLR 2023 Generalizable Neural Fields as Partially Observed Neural Processes ICCV 2023 LOVM: Language-Only Vision Model Selection NeurIPS 2023 NeMo: Learning 3D Neural Motion Fields From Multiple Video Instances of the Same Action CVPR 2023 PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023 Grad2Task: Improved Few-shot Text Classification Using Gradients for Task Representation NeurIPS 2021 Understanding and Mitigating Exploding Inverses in Invertible Neural Networks AISTATS 2021 Variational Model Inversion Attacks NeurIPS 2021 Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling ICML 2020 Your classifier is secretly an energy based model and you should treat it like one ICLR 2020 Adversarial Distillation of Bayesian Neural Network Posteriors ICML 2018 Neural Relational Inference for Interacting Systems ICML 2018 Dualing GANs NeurIPS 2017