Zhikai Chen

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

Bibliography

2026
A Wide Input Voltage Range Converter With Input Voltage Autobalance in Medium Voltage Application.
IEEE Trans. Ind. Electron., May, 2026

Do Proactive Agents Really Need an LLM to Decide When to Wake and What to Anchor?
CoRR, May, 2026

Covering vertices by sequential stars.
CoRR, May, 2026

Accelerating Rectified Flow Models via Trajectory-Aware Caching.
CoRR, May, 2026

G<sup>2</sup>TR: Generation-Guided Visual Token Reduction for Separate-Encoder Unified Multimodal Models.
CoRR, May, 2026

PermuQuant: Lowering Per-Group Quantization Error by Reordering Channels for Diffusion Models.
CoRR, May, 2026

HP-Edit: A Human-Preference Post-Training Framework for Image Editing.
CoRR, April, 2026

Relatron: Automating Relational Machine Learning over Relational Databases.
CoRR, February, 2026

YuFeng-XGuard: A Reasoning-Centric, Interpretable, and Flexible Guardrail Model for Large Language Models.
CoRR, January, 2026

Tuning-Free High-Resolution Video Diffusion With Spatial-Temporal Latent Grouping.
IEEE Trans. Multim., 2026

2025
UmniBench: Unified Understand and Generation Model Oriented Omni-dimensional Benchmark.
CoRR, December, 2025

Are Your Agents Upward Deceivers?
CoRR, December, 2025

Graph Machine Learning in the Era of Large Language Models (LLMs).
ACM Trans. Intell. Syst. Technol., October, 2025

Single-Gate Driving and Nonisolated Power Supply Technology for Series SiC-MOSFETs in High-Voltage Applications.
IEEE Trans. Ind. Electron., August, 2025

A Pre-training Framework for Relational Data with Information-theoretic Principles.
CoRR, July, 2025

A Grounding Fault Location Method for Auxiliary Power Supply Circuit in Electrical Locomotive.
IEEE Trans. Ind. Electron., June, 2025

Unveiling Mode Connectivity in Graph Neural Networks.
CoRR, February, 2025

Towards robust DeepFake distortion attack via adversarial autoaugment.
Neurocomputing, 2025

A novel miniaturized filtering coupler design based on reconfigurable technology.
IEICE Electron. Express, 2025

CausalEval: Towards Better Causal Reasoning in Language Models.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Unveiling Mode Connectivity in Graph Neural Network.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

AutoG: Towards automatic graph construction from tabular data.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Aligning Global Semantics and Local Textures in Generative Video Enhancement.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Learning 3D Shape Latent for Point Cloud Completion.
IEEE Trans. Multim., 2024

A Closer Look at the Reflection Formulation in Single Image Reflection Removal.
IEEE Trans. Image Process., 2024

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR, 2024

Improving Causal Reasoning in Large Language Models: A Survey.
CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR, 2024

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation.
CoRR, 2024

Graph Foundation Models.
CoRR, 2024

Neural Scaling Laws on Graphs.
CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

A Pure Transformer Pretraining Framework on Text-Attributed Graphs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Towards Neural Scaling Laws on Graphs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Position: Graph Foundation Models Are Already Here.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Label-free Node Classification on Graphs with Large Language Models (LLMs).
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Spatial Adaptation and Temporal Coherence in Diffusion Models for Video Super-Resolution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor., December, 2023

AVoiD-DF: Audio-Visual Joint Learning for Detecting Deepfake.
IEEE Trans. Inf. Forensics Secur., 2023

Inter-frame Accelerate Attack against Video Interpolation Models.
CoRR, 2023

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

AnchorFormer: Point Cloud Completion from Discriminative Nodes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
FS-GRU: Continuous Perception and Prediction with inter Frame Feature Sharing.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Leveraging Diversity-Aware Context Attention Networks for Fake News Detection on Social Platforms.
Proceedings of the International Joint Conference on Neural Networks, 2022

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
Multi-view spectral clustering via common structure maximization of local and global representations.
Neural Networks, 2021

Appending Adversarial Frames for Universal Video Attack.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2019
Unsupervised Single Image Deraining with Self-Supervised Constraints.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

1999
Arcade: A Web-Java Based Framework for Distributed Computing.
Proceedings of WebNet 99, 1999

1997
Web-based Framework for Distributed Computing.
Concurr. Pract. Exp., 1997


  Loading...