施展｜江汉大学｜学者主页

2026

Exploring Spatiotemporal Feature Propagation for Video-Level Compressive Spectral Reconstruction: Dataset, Model and Benchmark

Lijing Cai, Zhan Shi, Chenglong Huang, Jinyao Wu, Qiping Li, Zikang Huo, Linsen Chen, Chongde Zi, Xun Cao

arXiv preprint

2026

Beyond the Stitching Assumption: A Unified Framework for Multimodal Synthetic Data Evaluation via Semantic Quantization

Yefeng Yuan, Zhan Shi, Liang Cheng, Yuhong Liu

arXiv preprint

2026

Oscillating Dispersion for Maximal Light-throughput Spectral Imaging

Jiuyun Zhang, Zhan Shi, Linsen Chen, Xun Cao

arXiv preprint

2026

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes

Hao Ye, Zhan Shi, Chenglong Huang, Tao Lv, Mingjie Ji, Qiu Shen, Xun Cao

arXiv preprint

2026

Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models

Guanghan Wang, Bing He, Zhan Shi, Benoit Dumoulin, Hanqing Lu, Volodymyr Kuleshov

arXiv preprint

2026

Frames2Residual: Spatiotemporal Decoupling for Self-Supervised Video Denoising

Mingjie Ji, Zhan Shi, Kailai Zhou, Zixuan Fu, Xun Cao

arXiv preprint

2025

Scaling Textual Gradients via Sampling-Based Momentum

Zixin Ding, Junyuan Hong, Zhan Shi, Jiachen T. Wang, Zinan Lin, Li Yin, Meng Liu, Zhangyang Wang, Yuxin Chen

arXiv preprint

DOI

2025

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting

Zhan Shi, Yefeng Yuan, Yuhong Liu, Liang Cheng, Yi Fang

arXiv preprint

2025

A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding

Zhan Shi, Song Wang, Junbo Chen, Jianke Zhu

arXiv preprint

2025

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Feiyang Li, Peng Fang, Zhan Shi, Arijit Khan, Fang Wang, Weihao Wang, Xin Zhang, Yongjian Cui

arXiv preprint

2025

Efficient Whole Slide Pathology VQA via Token Compression

Weimin Lyu, Qingqiao Hu, Kehan Qi, Zhan Shi, Wentao Huang, Saumya Gupta, Chao Chen

arXiv preprint

2025

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Maryam Aliakbarpour, Zhan Shi, Ria Stevens, Vincent X. Wang

arXiv preprint

2025

Selective LLM-Guided Regularization for Enhancing Recommendation Models

Shanglin Yang, Zhan Shi

arXiv preprint

2025

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs

Tevin Atwal, Chan Nam Tieu, Yefeng Yuan, Zhan Shi, Yuhong Liu, Liang Cheng

arXiv preprint

2025

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting

Yining Lu, Zilong Wang, Shiyang Li, Xin Liu, Changlong Yu, Qingyu Yin, Zhan Shi, Zixuan Zhang, Meng Jiang

arXiv preprint

2025

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations

Zhan Shi, Shanglin Yang

arXiv preprint

2025

RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding

Hang Ji, Tao Ni, Xufeng Huang, Zhan Shi, Tao Luo, Xin Zhan, Junbo Chen

arXiv preprint

2024

MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers

Zichao Dong, Yilin Zhang, Xufeng Huang, Hang Ji, Zhan Shi, Xin Zhan, Junbo Chen

arXiv preprint

2024

Crowdsense Roadside Parking Spaces with Dynamic Gap Reduction Algorithm

Wenjun Zheng, Zhan Shi, Qianyu Ou, Ruizhi Liao

arXiv preprint

2024

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

Zhan Shi, Jingwei Zhang, Jun Kong, Fusheng Wang

arXiv preprint

2024

UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised

Tao Ni, Xin Zhan, Tao Luo, Wenbin Liu, Zhan Shi, JunBo Chen

arXiv preprint

2024

Measuring Large Language Models Capacity to Annotate Journalistic Sourcing

Subramaniam Vincent, Phoebe Wang, Zhan Shi, Sahas Koka, Yi Fang

arXiv preprint

2024

Multi-Stage Face-Voice Association Learning with Keynote Speaker Diarization

Ruijie Tao, Zhan Shi, Yidi Jiang, Duc-Tuan Truong, Eng-Siong Chng, Massimo Alioto, Haizhou Li

arXiv preprint

2024

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Chengzhong Xu

arXiv preprint

2024

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models

Haochen Tan, Zhijiang Guo, Zhan Shi, Lu Xu, Zhili Liu, Yunlong Feng, Xiaoguang Li, Yasheng Wang, Lifeng Shang, Qun Liu, Linqi Song

arXiv preprint

2024

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia

arXiv preprint

2024

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu

arXiv preprint

2024

Voice Conversion Augmentation for Speaker Recognition on Defective Datasets

Ruijie Tao, Zhan Shi, Yidi Jiang, Tianchi Liu, Haizhou Li

arXiv preprint

2023

Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images

Zhan Shi, Xin Ding, Peng Ding, Chun Yang, Ru Huang, Xiaoxuan Song

arXiv preprint

2023

Aperture Diffraction for Compact Snapshot Spectral Imaging

Tao Lv, Hao Ye, Quan Yuan, Zhan Shi, Yibo Wang, Shuming Wang, Xun Cao

arXiv preprint

2022

Driver Side and Traffic Based Evaluation Model for On-Street Parking Solutions

Qianyu Ou, Wenjun Zheng, Zhan Shi, Ruizhi Liao

arXiv preprint

2022

Visual Semantic Parsing: From Images to Abstract Meaning Representation

Mohamed Ashraf Abdelsalam, Zhan Shi, Federico Fancellu, Kalliopi Basioti, Dhaivat J. Bhatt, Vladimir Pavlovic, Afsaneh Fazly

arXiv preprint

2022

Speaker recognition with two-step multi-modal deep cleansing

Ruijie Tao, Kong Aik Lee, Zhan Shi, Haizhou Li

arXiv preprint

2021

Unsupervised Conversation Disentanglement through Co-Training

Hui Liu, Zhan Shi, Xiaodan Zhu

arXiv preprint

2021

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference

Xiaoyu Yang, Xiaodan Zhu, Zhan Shi, Tianda Li

arXiv preprint

2020

Learned Hardware/Software Co-Design of Neural Accelerators

Zhan Shi, Chirag Sakhuja, Milad Hashemi, Kevin Swersky, Calvin Lin

arXiv preprint

2020

Improving Image Captioning with Better Use of Captions

Zhan Shi, Xu Zhou, Xipeng Qiu, Xiaodan Zhu

arXiv preprint

2020

Generalised Lipschitz Regularisation Equals Distributional Robustness

Zac Cranko, Zhan Shi, Xinhua Zhang, Richard Nock, Simon Kornblith

arXiv preprint

2019

Learning Execution through Neural Code Fusion

Zhan Shi, Kevin Swersky, Daniel Tarlow, Parthasarathy Ranganathan, Milad Hashemi

arXiv preprint

2019

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Yu-Ping Ruan, Xiaodan Zhu, Zhen-Hua Ling, Zhan Shi, Quan Liu, Si Wei

arXiv preprint

2018

Monge blunts Bayes: Hardness Results for Adversarial Training

Zac Cranko, Aditya Krishna Menon, Richard Nock, Cheng Soon Ong, Zhan Shi, Christian Walder

arXiv preprint

2018

Toward Diverse Text Generation with Inverse Reinforcement Learning

Zhan Shi, Xinchi Chen, Xipeng Qiu, Xuanjing Huang

arXiv preprint

2018

Lipschitz Networks and Distributional Robustness

Zac Cranko, Simon Kornblith, Zhan Shi, Richard Nock

arXiv preprint

2017

Adversarial Multi-Criteria Learning for Chinese Word Segmentation

Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang

arXiv preprint

2017

DAG-based Long Short-Term Memory for Neural Word Segmentation

Xinchi Chen, Zhan Shi, Xipeng Qiu, Xuanjing Huang

arXiv preprint

精选作品

期刊论文

人工智能时代计算机专业实践教学设计与评价研究

基于Vue与SpringBoot框架的学生成绩分析和弱项辅助系统设计

基于Android的VoIP系统的设计与实现

预印本

Exploring Spatiotemporal Feature Propagation for Video-Level Compressive Spectral Reconstruction: Dataset, Model and Benchmark

Beyond the Stitching Assumption: A Unified Framework for Multimodal Synthetic Data Evaluation via Semantic Quantization

Oscillating Dispersion for Maximal Light-throughput Spectral Imaging

Hyperspectral Intrinsic Decomposition: Joint Recovery of Reflectance and Photometric Components for Non-Lambertian Scenes

Revisiting the 16x Pretraining Compute Gap between Diffusion and Autoregressive Language Models

Frames2Residual: Spatiotemporal Decoupling for Self-Supervised Video Denoising

Scaling Textual Gradients via Sampling-Based Momentum

RL-Finetuned LLMs for Privacy-Preserving Synthetic Rewriting

A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding

CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language Models

Efficient Whole Slide Pathology VQA via Token Compression

Nearly-Linear Time Private Hypothesis Selection with the Optimal Approximation Factor

Selective LLM-Guided Regularization for Enhancing Recommendation Models

Privacy-Preserving Synthetic Review Generation with Diverse Writing Styles Using LLMs

Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting

Integrating Domain Knowledge into Large Language Models for Enhanced Fashion Recommendations

RoPETR: Improving Temporal Camera-Only 3D Detection by Integrating Enhanced Rotary Position Embedding

MV-DETR: Multi-modality indoor object detection by Multi-View DEtecton TRansformers

Crowdsense Roadside Parking Spaces with Dynamic Gap Reduction Algorithm

Integrative Graph-Transformer Framework for Histopathology Whole Slide Image Representation and Classification

UdeerLID+: Integrating LiDAR, Image, and Relative Depth with Semi-Supervised

Measuring Large Language Models Capacity to Annotate Journalistic Sourcing

Multi-Stage Face-Voice Association Learning with Keynote Speaker Diarization

Ranking-based Client Selection with Imitation Learning for Efficient Federated Learning

PROXYQA: An Alternative Framework for Evaluating Long-Form Text Generation with Large Language Models

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs

HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning

Voice Conversion Augmentation for Speaker Recognition on Defective Datasets

Regression-Oriented Knowledge Distillation for Lightweight Ship Orientation Angle Prediction with Optical Remote Sensing Images

Aperture Diffraction for Compact Snapshot Spectral Imaging

Driver Side and Traffic Based Evaluation Model for On-Street Parking Solutions

Visual Semantic Parsing: From Images to Abstract Meaning Representation

Speaker recognition with two-step multi-modal deep cleansing

Unsupervised Conversation Disentanglement through Co-Training

Unsupervised Pre-training with Structured Knowledge for Improving Natural Language Inference

Learned Hardware/Software Co-Design of Neural Accelerators

Improving Image Captioning with Better Use of Captions

Generalised Lipschitz Regularisation Equals Distributional Robustness

Learning Execution through Neural Code Fusion

Exploring Unsupervised Pretraining and Sentence Structure Modelling for Winograd Schema Challenge

Monge blunts Bayes: Hardness Results for Adversarial Training

Toward Diverse Text Generation with Inverse Reinforcement Learning

Lipschitz Networks and Distributional Robustness

Adversarial Multi-Criteria Learning for Chinese Word Segmentation

DAG-based Long Short-Term Memory for Neural Word Segmentation

研究方向