Zhenghao Chen

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026
FLS: fusion space and smooth lie group-driven temporal knowledge graph embedding.
Int. J. Mach. Learn. Cybern., May, 2026

Peer-aided repairer: empowering large language models to repair advanced student assignments.
Empir. Softw. Eng., April, 2026

Differentiable Vector Quantization for Rate-Distortion Optimization of Generative Image Compression.
CoRR, April, 2026

Device-Conditioned Neural Architecture Search for Efficient Robotic Manipulation.
CoRR, April, 2026

Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting.
CoRR, April, 2026

EgoMind: Activating Spatial Cognition through Linguistic Reasoning in MLLMs.
CoRR, April, 2026

Generative Video Compression with One-Dimensional Latent Representation.
CoRR, March, 2026

LoD-Structured 3D Gaussian Splatting for Streaming Video Reconstruction.
CoRR, January, 2026

DAS-SAM: fine-tuning SAM towards drivable area segmentation via efficient multi-scale traffic scene-aware adaptation.
Vis. Intell., 2026

Improving lesion segmentation in medical images by global and regional feature compensation.
Pattern Recognit., 2026

Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
IGDMRec: Behavior Conditioned Item Graph Diffusion for Multimodal Recommendation.
CoRR, December, 2025

Improving CXR Bone Suppression by Exploiting Domain-Level and Instance-Level Information.
IEEE Trans. Medical Imaging, November, 2025

Enhanced U2-net with residual depthwise separable and split-attention blocks for medical image segmentation.
Signal Image Video Process., November, 2025

Unleashing Perception-Time Scaling to Multimodal Reasoning Models.
CoRR, October, 2025

4DGS-Craft: Consistent and Interactive 4D Gaussian Splatting Editing.
CoRR, October, 2025

Deep learning for time series forecasting: a survey.
Int. J. Mach. Learn. Cybern., August, 2025

Versatile Video Tokenization with Generative 2D Gaussian Splatting.
CoRR, August, 2025

Neural Vector Fields: Generalizing Distance Vector Fields by Codebooks and Zero-Curl Regularization.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2025

Temporal knowledge graph completion based on product space and contrastive learning of commonsense.
J. Intell. Inf. Syst., June, 2025

Seeing is Believing? Mitigating OCR Hallucinations in Multimodal Large Language Models.
CoRR, June, 2025

GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking.
CoRR, June, 2025

3D Gaussian Splatting Data Compression with Mixture of Priors.
CoRR, May, 2025

Neural Stereo Video Compression with Hybrid Disparity Compensation.
CoRR, April, 2025

4DGS-CC: A Contextual Coding Framework for 4D Gaussian Splatting Data Compression.
CoRR, April, 2025

Valley2: Exploring Multimodal Models with Scalable Vision-Language Design.
CoRR, January, 2025

An Efficient Adaptive Compression Method for Human Perception and Machine Vision Tasks.
CoRR, January, 2025

TVC: tokenized video compression with ultra-low bit rate.
Vis. Intell., 2025

Living on the Rocks: Genomic Analysis of Limestone Langurs Provides Novel Insights into the Adaptive Evolution in Extreme Karst Environments.
Genom. Proteom. Bioinform., 2025

M<sup>3</sup>VIR: A Large-Scale Multi-Modality Multi-View Synthesized Benchmark Dataset for Image Restoration and Content Creation.
Proceedings of the 3rd International Workshop on Rich Media With Generative AI, 2025

3D Gaussian Splatting Data Compression with Mixture of Priors.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

(RichMediaGAI'25) 3rd International Workshop on Rich Media with Generative AI.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Medxchat: A Unified Multimodal Large Language Model Framework Towards CXRS Understanding and Generation.
Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Frame-Voyager: Learning to Query Frames for Video Large Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On-Device Diffusion Transformer Policy for Efficient Robot Manipulation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ECLR'25: 2nd Workshop on Efficient Computing Under Limited Resources: Visual Computing.
Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024
HEMGS: A Hybrid Entropy Model for 3D Gaussian Splatting Data Compression.
CoRR, 2024

Individual Content and Motion Dynamics Preserved Pruning for Video Diffusion Models.
CoRR, 2024

WEATHER-5K: A Large-scale Global Station Weather Dataset Towards Comprehensive Time-series Forecasting Benchmark.
CoRR, 2024

Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor.
CoRR, 2024

PoinTramba: A Hybrid Transformer-Mamba Framework for Point Cloud Analysis.
CoRR, 2024

CRA5: Extreme Compression of ERA5 for Portable Global Climate and Weather Research via an Efficient Variational Transformer.
CoRR, 2024

Peer-aided Repairer: Empowering Large Language Models to Repair Advanced Student Assignments.
CoRR, 2024

Group-aware Parameter-efficient Updating for Content-Adaptive Neural Video Compression.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Baikal: Unpaired Denoising of Fluorescence Microscopy Images Using Diffusion Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

UFDA: Universal Federated Domain Adaptation with Practical Assumptions.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An Edge-Based Aquaculture Monitoring System for Fish Behavior Detection.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

ICMH-Net: Neural Image Compression Towards both Machine Vision and Human Vision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neural Video Compression with Spatio-Temporal Cross-Covariance Transformers.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Neural Vector Fields: Implicit Representation by Explicit Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

The impact of Intellectual Property Rights Protection on Digital Industry Innovation.
Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management, 2023

2022
Exploiting Intra-Slice and Inter-Slice Redundancy for Learning-Based Lossless Volumetric Image Compression.
IEEE Trans. Image Process., 2022

Improving RGB-D Point Cloud Registration by Learning Multi-scale Local Linear Transformation.
Proceedings of the Computer Vision - ECCV 2022, 2022

LSVC: A Learning-based Stereo Video Compression Framework.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Improving Facial Attribute Recognition by Group and Graph Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

2020
Remote Sensing Image Scene Classification with Noisy Label Distillation.
Remote. Sens., 2020

Modeling Multiplexed Images with Spatial-LDA Reveals Novel Tissue Microenvironments.
J. Comput. Biol., 2020

An integrated multi-objective optimization approach to determine the optimal feature processing sequence and cutting parameters for carbon emissions savings of CNC machining.
Int. J. Comput. Integr. Manuf., 2020

Digging Into Pseudo Label: A Low-Budget Approach for Semi-Supervised Semantic Segmentation.
IEEE Access, 2020

Improving Deep Video Compression by Resolution-Adaptive Flow Coding.
Proceedings of the Computer Vision - ECCV 2020, 2020

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cancellation of motion artifacts in ambulatory ECG signals using TD-LMS adaptive filtering techniques.
J. Vis. Commun. Image Represent., 2019

Composition and decomposition of GANs.
CoRR, 2019

Embeddings and Convolution, Is That the Best You can Do with Sentiment Features?
Proceedings of the International Joint Conference on Neural Networks, 2019

A Piezoelectric Heart Sound Sensor for Wearable Healthcare Monitoring Devices.
Proceedings of the Body Area Networks. Smart IoT and Big Data for Intelligent Health Management, 2019

Impedance Characteristics of the Skin-Electrode Interface of Dry Textile Electrodes for Wearable Electrocardiogram.
Proceedings of the Advances in Body Area Networks I, 2019

2018
The role of the consistency between objective and perceived environmental uncertainty in supply chain risk management.
Ind. Manag. Data Syst., 2018

Motion Artifact Reduction in Electrocardiogram Using Adaptive Filtering Based on Skin-Potential Variation Monitoring.
Proceedings of the 13th EAI International Conference on Body Area Networks, 2018

2017
Visual Analytics of Movement Pattern Based on Time-Spatial Data: A Neural Net Approach.
CoRR, 2017

Neural net-based and safety-oriented visual analytics for time-spatial data.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using Transfer Learning with Convolutional Neural Networks to Diagnose Breast Cancer from Histopathological Images.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Layer Removal for Transfer Learning with Deep Convolutional Neural Networks.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Real-time programming exercise feedback in MOOCs.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
A New Weight Adjusted Particle Swarm Optimization for Real-Time Multiple Object Tracking.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2013
Tuned Models of Peer Assessment in MOOCs.
Proceedings of the 6th International Conference on Educational Data Mining, 2013

2011
Sparse Filtering.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

On Random Weights and Unsupervised Feature Learning.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning Deep Energy Models.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Tiled convolutional neural networks.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010


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