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Home/Authors/Chao Wang

Chao Wang

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 14, 2026, 11:22 PM AMS

26

papers

127

total citations

papers (26)

GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models

Towards a Unified Analysis of Kernel-based Methods Under Covariate Shift

NEURIPS 2023arXiv

X-Dyna: Expressive Dynamic Human Image Animation

X-Dancer: Expressive Music to Human Dance Video Generation

DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models

LEDiff: Latent Exposure Diffusion for HDR Generation

RLPF: Reinforcement Learning from Prediction Feedback for User Summarization with LLMs

Emergent Communication for Numerical Concepts Generalization

Information Theoretic Text-to-Image Alignment

Convolutions for Spatial Interaction Modeling

Generative Audio Language Modeling with Continuous-valued Tokens and Masked Next-Token Prediction

IMPACT: Iterative Mask-based Parallel Decoding for Text-to-Audio Generation with Diffusion Modeling

Adapting Text-to-Image Generation with Feature Difference Instruction for Generic Image Restoration

VideoMiner: Iteratively Grounding Key Frames of Hour-Long Videos via Tree-based Group Relative Policy Optimization

DiffFPR: Diffusion Prior for Oversampled Fourier Phase Retrieval

Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution

Topic Modeling Revisited: A Document Graph-based Neural Network Perspective

Temporal Graph Contrastive Learning for Sequential Recommendation

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding

Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement

Discriminative Partial Domain Adversarial Network

Active Learning for Lane Detection: A Knowledge Distillation Approach

Image Cropping With Spatial-Aware Feature and Rank Consistency

Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features

Context-Aware Pretraining for Efficient Blind Image Decomposition