Xin Jiang

Affiliations

Huawei Noah's Ark Lab

papers

1,282

total citations

papers (19)

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

NEURIPS 2023arXiv

107

citations

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

ICLR 2025arXiv

citations

Unsupervised Text Generation by Learning from Search

NEURIPS 2020arXiv

citations

Delving into Multimodal Prompting for Fine-Grained Visual Classification

AAAI 2024arXiv

citations

Towards Efficient Post-training Quantization of Pre-trained Language Models

NEURIPS 2022arXiv

citations

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis

ICLR 2024arXiv

citations

UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog

CVPR 2022arXiv

citations

FlatQuant: Flatness Matters for LLM Quantization

ICML 2025arXiv

citations

CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information

AAAI 2025arXiv

citations

Reusing Pretrained Models by Multi-linear Operators for Efficient Training

NEURIPS 2023arXiv

citations

Implicit Search via Discrete Diffusion: A Study on Chess

ICLR 2025arXiv

citations

Unsupervised Extractive Summarization with Learnable Length Control Strategies

AAAI 2024arXiv

citations

A Unified Interpretation of Training-Time Out-of-Distribution Detection

ICCV 2025

citations

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

ICCV 2025

citations

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

AAAI 2024

citations

Xin Jiang

Affiliations

papers (19)

DynaBERT: Dynamic BERT with Adaptive Width and Depth

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark

ToolACE: Winning the Points of LLM Function Calling

IMAGDressing-v1: Customizable Virtual Dressing

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Unsupervised Text Generation by Learning from Search

Delving into Multimodal Prompting for Fine-Grained Visual Classification

Towards Efficient Post-training Quantization of Pre-trained Language Models

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis

UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog

FlatQuant: Flatness Matters for LLM Quantization

CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information

Reusing Pretrained Models by Multi-linear Operators for Efficient Training

Implicit Search via Discrete Diffusion: A Study on Chess

Unsupervised Extractive Summarization with Learnable Length Control Strategies

A Unified Interpretation of Training-Time Out-of-Distribution Detection

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks

papers (19)

DynaBERT: Dynamic BERT with Adaptive Width and Depth

Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark

ToolACE: Winning the Points of LLM Function Calling

IMAGDressing-v1: Customizable Virtual Dressing

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning

Unsupervised Text Generation by Learning from Search

Delving into Multimodal Prompting for Fine-Grained Visual Classification

Towards Efficient Post-training Quantization of Pre-trained Language Models

Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis

UTC: A Unified Transformer With Inter-Task Contrastive Learning for Visual Dialog

FlatQuant: Flatness Matters for LLM Quantization

CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information

Reusing Pretrained Models by Multi-linear Operators for Efficient Training

Implicit Search via Discrete Diffusion: A Study on Chess

Unsupervised Extractive Summarization with Learnable Length Control Strategies

A Unified Interpretation of Training-Time Out-of-Distribution Detection

Exploiting Frequency Dynamics for Enhanced Multimodal Event-based Action Recognition

Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks