Hong Chen

Affiliations

Renmin University of China

papers

773

total citations

papers (29)

NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge

CVPR 2022arXiv

citations

Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration

CVPR 2024

citations

Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch

ICCV 2023arXiv

citations

Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM

AAAI 2025arXiv

citations

Personalized Clustering via Targeted Representation Learning

AAAI 2025arXiv

citations

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

AAAI 2024

citations

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

AAAI 2025arXiv

citations

Unsupervised Learning for Class Distribution Mismatch

ICML 2025arXiv

citations

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

AAAI 2025

citations

Module-Aware Optimization for Auxiliary Learning

NEURIPS 2022

citations

Joint Data-Task Generation for Auxiliary Learning

NEURIPS 2023

citations

Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors

ICCV 2025arXiv

citations

CurBench: Curriculum Learning Benchmark

ICML 2024

citations

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

AAAI 2025

citations

Superclass Learning With Representation Enhancement

CVPR 2023

citations

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation

ICCV 2023

citations

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

NEURIPS 2023

citations

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

NEURIPS 2023

citations

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective

ICML 2024

citations

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

ICML 2024

citations

Identity-Text Video Corpus Grounding

AAAI 2025

citations

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

AAAI 2025

citations

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery

NEURIPS 2020

citations

Contrastive Coding for Active Learning Under Class Distribution Mismatch

ICCV 2021

citations

Curriculum Disentangled Recommendation with Noisy Multi-feedback

NEURIPS 2021

citations

Hong Chen

Affiliations

papers (29)

DIRE for Diffusion-Generated Image Detection

VTimeLLM: Empower LLM to Grasp Video Moments

PTQ4SAM: Post-Training Quantization for Segment Anything

Streamlining Redundant Layers to Compress Large Language Models

NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge

Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration

Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch

Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM

Personalized Clustering via Targeted Representation Learning

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Unsupervised Learning for Class Distribution Mismatch

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

Module-Aware Optimization for Auxiliary Learning

Joint Data-Task Generation for Auxiliary Learning

Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors

CurBench: Curriculum Learning Benchmark

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Superclass Learning With Representation Enhancement

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Identity-Text Video Corpus Grounding

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery

Contrastive Coding for Active Learning Under Class Distribution Mismatch

Curriculum Disentangled Recommendation with Noisy Multi-feedback

papers (29)

DIRE for Diffusion-Generated Image Detection

VTimeLLM: Empower LLM to Grasp Video Moments

PTQ4SAM: Post-Training Quantization for Segment Anything

Streamlining Redundant Layers to Compress Large Language Models

NOC-REK: Novel Object Captioning With Retrieved Vocabulary From External Knowledge

Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration

Semi-Supervised Learning via Weight-Aware Distillation under Class Distribution Mismatch

Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM

Personalized Clustering via Targeted Representation Learning

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Behavior Importance-Aware Graph Neural Architecture Search for Cross-Domain Recommendation

Unsupervised Learning for Class Distribution Mismatch

Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent

Module-Aware Optimization for Auxiliary Learning

Joint Data-Task Generation for Auxiliary Learning

Rethinking Key-frame-based Micro-expression Recognition: A Robust and Accurate Framework Against Key-frame Errors

CurBench: Curriculum Learning Benchmark

Knockoffs Inference for Partially Linear Models with Automatic Structure Discovery

Superclass Learning With Representation Enhancement

Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum

Fine-Grained Theoretical Analysis of Federated Zeroth-Order Optimization

Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Identity-Text Video Corpus Grounding

Prototypical Replay with Old-class Focusing Knowledge Distillation for Incremental Named Entity Recognition

Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery

Contrastive Coding for Active Learning Under Class Distribution Mismatch

Curriculum Disentangled Recommendation with Noisy Multi-feedback