Xingxing Zhang

papers

547

total citations

papers (13)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

ICML 2024arXiv

146

citations

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

NEURIPS 2023arXiv

138

citations

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

ECCV 2022arXiv

citations

Think Only When You Need with Large Hybrid-Reasoning Models

NEURIPS 2025arXiv

citations

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning

CVPR 2020arXiv

citations

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

NEURIPS 2023arXiv

citations

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

ICML 2024arXiv

citations

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

CVPR 2025

citations

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning

AAAI 2025

citations

Double Low-Rank Representation With Projection Distance Penalty for Clustering

CVPR 2021

citations

Xingxing Zhang

papers (13)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Think Only When You Need with Large Hybrid-Reasoning Models

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Preference Optimization for Reasoning with Pseudo Feedback

Scaling Laws of Synthetic Data for Language Model

Self-Boosting Large Language Models with Synthetic Preference Data

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning

Double Low-Rank Representation With Projection Distance Penalty for Clustering

papers (13)

MathScale: Scaling Instruction Tuning for Mathematical Reasoning

Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality

CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One

Think Only When You Need with Large Hybrid-Reasoning Models

Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning

Preference Optimization for Reasoning with Pseudo Feedback

Scaling Laws of Synthetic Data for Language Model

Self-Boosting Large Language Models with Synthetic Preference Data

Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation

Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning

Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning

Double Low-Rank Representation With Projection Distance Penalty for Clustering