Huan Wang

35

Papers

192

Total Citations

Papers (35)

HIVE: Harnessing Human Feedback for Instructional Visual Editing

HoliTom: Holistic Token Merging for Fast Video Large Language Models

Accessing Vision Foundation Models via ImageNet-1K

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation

Frame Flexible Network

Real-Time Neural Light Field on Mobile Devices

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images

Context Reasoning Attention Network for Image Super-Resolution

Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution

Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

DyCoke: Dynamic Compression of Tokens for Fast Video Large Language Models

FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning

Text2Data: Low-Resource Data Generation with Textual Control

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Collaborative Distillation for Ultra-Resolution Universal Style Transfer

Towards Understanding Hierarchical Learning: Benefits of Neural Representations

Aligned Structured Sparsity Learning for Efficient Image Super-Resolution

Evaluating State-of-the-Art Classification Models Against Bayes Optimality

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation

Understanding the Under-Coverage Bias in Uncertainty Estimation

Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games

Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Parameter-Efficient Masking Networks

What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective

Policy Optimization for Markov Games: Unified Framework and Faster Convergence

Look More but Care Less in Video Recognition

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds

Latent Graph Inference with Limited Supervision

UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

On the Generalization Gap in Reparameterizable Reinforcement Learning