Ziqiao Wang

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

Bibliography

2025
Neural-Driven Image Editing.
CoRR, July, 2025

On Weak-to-Strong Generalization and f-Divergence.
CoRR, June, 2025

CPG-Based Manipulation With Multi-Module Origami Robot Surface.
IEEE Robotics Autom. Lett., May, 2025

On the Emergence of Weak-to-Strong Generalization: A Bias-Variance Perspective.
CoRR, May, 2025

REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion Training.
CoRR, May, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.
CoRR, May, 2025

Ensemble Debiasing Across Class and Sample Levels for Fairer Prompting Accuracy.
CoRR, March, 2025

Generalization in Federated Learning: A Conditional Mutual Information Framework.
CoRR, March, 2025

Surface-Based Manipulation.
CoRR, February, 2025

Understanding the Capabilities and Limitations of Weak-to-Strong Generalization.
CoRR, February, 2025

Distributional Information Embedding: A Framework for Multi-bit Watermarking.
CoRR, January, 2025

Preserving Label Correlation for Multi-label Text Classification by Prototypical Regularizations.
Proceedings of the ACM on Web Conference 2025, 2025

LH-Mix: Local Hierarchy Correlation Guided Mixup over Hierarchical Prompt Tuning.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Dynamic Task Vector Grouping for Efficient Multi-Task Prompt Tuning.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Rethink the Evaluation Protocol of Model Merging on Classification Task.
CoRR, 2024

Generalization Bounds via Conditional <i>f</i>-Information.
CoRR, 2024

Universally Optimal Watermarking Schemes for LLMs: from Theory to Practice.
CoRR, 2024

Activated Parameter Locating via Causal Intervention for Model Merging.
CoRR, 2024

Two Facets of SDE Under an Information-Theoretic Lens: Generalization of SGD via Training Trajectories and via Terminal States.
Proceedings of the Uncertainty in Artificial Intelligence, 2024

Generalization Bounds via Conditional f-Information.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On $f$-Divergence Principled Domain Adaptation: An Improved Framework.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

On Unsupervised Domain Adaptation: Pseudo Label Guided Mixup for Adversarial Prompt Tuning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Online Education Oriented Design and Estimation of Ideological and Political: An Edge Computing Approach.
J. Multim. Inf. Syst., June, 2023

Teaching mechanism empowered by virtual simulation: Edge computing-driven approach.
Digit. Commun. Networks, April, 2023

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tighter Information-Theoretic Generalization Bounds from Supersamples.
Proceedings of the International Conference on Machine Learning, 2023

Information-Theoretic Analysis of Unsupervised Domain Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Over-Training with Mixup May Hurt Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Weak lesion feature extraction by dual-branch separation and enhancement network for safe hemorrhagic transformation prediction.
Comput. Medical Imaging Graph., 2022

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

2021
Multiparameter Synchronous Measurement With IVUS Images for Intelligently Diagnosing Coronary Cardiac Disease.
IEEE Trans. Instrum. Meas., 2021

Education Data-Driven Online Course Optimization Mechanism for College Student.
Mob. Inf. Syst., 2021

IMIX: a multivariate mixture model approach to association analysis through multi-omics data integration.
Bioinform., 2021

Phenology Alignment Network: A Novel Framework for Cross-Regional Time Series Crop Classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
On SkipGram Word Embedding Models with Negative Sampling: Unified Framework and Impact of Noise Distributions.
CoRR, 2020

Aspects of Form, Interface, and Interaction in the Design of Wearable Devices.
Proceedings of the HCI International 2020 - Late Breaking Papers: Digital Human Modeling and Ergonomics, Mobility and Intelligent Environments, 2020

2018
Study on the Digital Expansion of Chinese Static Works of Art.
Proceedings of the Distributed, Ambient and Pervasive Interactions: Understanding Humans, 2018


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