Ligong Han

27 papers · 2020–2026 · 11 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🐝 Cross-Pollinator (8)

🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (8) 🧬 Topic Evolution 🔥 Unstoppable (7) 💎 Century Club (24) ⚡ Prolific Year (5) 🗃️ Keyword Collector (99)

Conferences

CVPR (5) WACV (5) AAAI (4) ICLR (4) ICCV (2) NIPS (2) ACL (1) COLING (1) ECCV (1) EMNLP (1) IJCAI (1)

Top co-authors

Dimitris N. Metaxas (10) Dimitris Metaxas (9) Ruijiang Gao (6) Hao Wang (5) Akash Srivastava (5) Martin Renqiang Min (4) Song Wen (4) Anastasis Stathopoulos (4) Di Liu (3) Ruixiang Tang (3)

Keywords

diffusion model (6) image generation (3) 3d reconstruction (2) visual token (2) singular value decomposition (2) bayesian inference (2) generative model (2) domain adaptation (2) uncertainty estimation (2) classifier-free guidance (2) image editing (2) model fine-tuning (2) multimodal in-context learning (2) self-supervised learning (1) video synthesis (1) bayesian learning (1) video generation (1) uncertainty quantification (1) continual learning (1) parameter estimation (1)

Papers

DICE: Discrete Inversion Enabling Controllable Editing for Masked Generative Models WACV 2026 Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning AAAI 2026 Reasoning over Precedents Alongside Statutes: Case-Augmented Deliberative Alignment for LLM Safety ACL 2026 CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning AAAI 2026 Unveiling the Secret Recipe: A Guide For Supervised Fine-Tuning Small LLMs ICLR 2025 LoR-VP: Low-Rank Visual Prompting for Efficient Vision Model Adaptation ICLR 2025 Implicit In-context Learning ICLR 2025 MLLM-as-a-Judge for Image Safety without Human Labeling CVPR 2025 Hopscotch: Discovering and Skipping Redundancies in Language Models EMNLP 2025 SODA: Spectral Orthogonal Decomposition Adaptation for Diffusion Models WACV 2025 Diffusion Models for Sign Language Video Anonymization COLING 2024 StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators WACV 2024 BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024 Score-Guided Diffusion for 3D Human Recovery CVPR 2024 ProxEdit: Improving Tuning-Free Real Image Editing With Proximal Guidance WACV 2024 SVDiff: Compact Parameter Space for Diffusion Fine-Tuning ICCV 2023 Learning Articulated Shape With Keypoint Pseudo-Labels From Web Images CVPR 2023 SINE: SINgle Image Editing With Text-to-Image Diffusion Models CVPR 2023 On the Stability-Plasticity Dilemma in Continual Meta-Learning: Theory and Algorithm NIPS 2023 AE-StyleGAN: Improved Training of Style-Based Auto-Encoders WACV 2022 Hierarchically Self-Supervised Transformer for Human Skeleton Representation Learning ECCV 2022 Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning CVPR 2022 Enhancing Counterfactual Classification Performance via Self-Training AAAI 2022 Human-AI Collaboration with Bandit Feedback IJCAI 2021 Disentangled Recurrent Wasserstein Autoencoder ICLR 2021 Dual Projection Generative Adversarial Networks for Conditional Image Generation ICCV 2021 Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons AAAI 2020