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papers

Publications (100)

cs.LG2025

Anyprefer: An Agentic Framework for Preference Data Synthesis

Yiyang Zhou, Zhaoyang Wang, Tianle Wang +13

cs.CV2023

Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective

Weixia Zhang, Guangtao Zhai, Ying Wei +2

stat.ME2022

Hybrid Censored Quantile Regression Forest to Assess the Heterogeneous Effects

Huichen Zhu, Yifei Sun, Ying Wei

cs.LG2025

CLDyB: Towards Dynamic Benchmarking for Continual Learning with Pre-trained Models

Shengzhuang Chen, Yikai Liao, Xiaoxiao Sun +2

cs.CV2023

High-fidelity 3D Reconstruction of Plants using Neural Radiance Field

Kewei Hu, Ying Wei, Yaoqiang Pan +2

eess.IV2020

COVID-DA: Deep Domain Adaptation from Typical Pneumonia to COVID-19

Yifan Zhang, Shuaicheng Niu, Zhen Qiu +6

math.ST2010

Discussion of "Multivariate quantiles and multiple-output regression quantiles: From $L_1$ optimization to halfspace depth"

Ying Wei

cs.LG2026

One-Token Verification for Reasoning Correctness Estimation

Zhan Zhuang, Xiequn Wang, Zebin Chen +4

eess.IV2020

Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT

Liang Sun, Zhanhao Mo, Fuhua Yan +14

eess.IV2021

Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation

Geng-Xin Xu, Chen Liu, Jun Liu +9

math.ST2014

Asymptotics of nonparametric L-1 regression models with dependent data

Zhibiao Zhao, Ying Wei, Dennis K. J. Lin

cs.CV2025

Learning Visual Generative Priors without Text

Shuailei Ma, Kecheng Zheng, Ying Wei +7

cs.AI2024

Refine Large Language Model Fine-tuning via Instruction Vector

Gangwei Jiang, Zhaoyi Li, Defu Lian +1

stat.ME2024

A unified quantile framework for nonlinear heterogeneous transcriptome-wide associations

Tianying Wang, Iuliana Ionita-Laza, Ying Wei

cs.CL2022

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering

Juan Zha, Zheng Li, Ying Wei +1

cs.CV2022

Self-Supervised Text Erasing with Controllable Image Synthesis

Gangwei Jiang, Shiyao Wang, Tiezheng Ge +3

cs.CE2017

Parallel energy-stable phase field crystal simulations based on domain decomposition methods

Ying Wei, Chao Yang, Jizu Huang

quant-ph2026

Quantum photonic frequency processor on thin-film lithium niobate

Ran Yang, Wei Zhou, Dong-Jie Guo +11

cs.CV2025

TokLIP: Marry Visual Tokens to CLIP for Multimodal Comprehension and Generation

Haokun Lin, Teng Wang, Yixiao Ge +6

cs.CV2023

Detecting the open-world objects with the help of the Brain

Shuailei Ma, Yuefeng Wang, Ying Wei +5

cs.CL2026

Scaling Reasoning Hop Exposes Weaknesses: Demystifying and Improving Hop Generalization in Large Language Models

Zhaoyi Li, Jiatong Li, Gangwei Jiang +3

cs.LG2025

Automatic Expert Discovery in LLM Upcycling via Sparse Interpolated Mixture-of-Experts

Shengzhuang Chen, Ying Wei, Jonathan Richard Schwarz

cs.AI2026

Hybrid Open-Ended Tri-Evolution Makes Better Deep Researcher

Hongming Piao, Chi Liu, Mengzhuo Chen +5

cs.LG2022

Frustratingly Easy Transferability Estimation

Long-Kai Huang, Ying Wei, Yu Rong +2

cs.CV2020

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia

Xi Ouyang, Jiayu Huo, Liming Xia +15

cs.LG2018

Learning to Multitask

Yu Zhang, Ying Wei, Qiang Yang

eess.IV2021

A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning

Zekun Li, Wei Zhao, Feng Shi +9

math.ST2007

Discussion paper. Conditional growth charts

Ying Wei, Xuming He

cs.CL2024

DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs

Haokun Lin, Haobo Xu, Yichen Wu +6

cs.LG2019

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Peilin Zhao +4

stat.ME2026

Estimating Effects of Longitudinal Modified Treatment Policies (LMTPs) on Rates of Change in Health Outcomes

Anja Shahu, Weijie Xia, Ying Wei +1

eess.AS2025

AVFSNet: Audio-Visual Speech Separation for Flexible Number of Speakers with Multi-Scale and Multi-Task Learning

Daning Zhang, Ying Wei

cs.LG2025

Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning

Gangwei Jiang, Caigao Jiang, Zhaoyi Li +5

cs.AI2017

Learning to Transfer

Ying Wei, Yu Zhang, Qiang Yang

cs.CV2025

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models

Botai Yuan, Yutian Zhou, Yingjie Wang +9

eess.IV2020

Large-Scale Screening of COVID-19 from Community Acquired Pneumonia using Infection Size-Aware Classification

Feng Shi, Liming Xia, Fei Shan +7

cs.CL2019

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning

Zheng Li, Xin Li, Ying Wei +3

cs.LG2023

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying Wei +4

cs.CL2026

Quantization Meets dLLMs: A Systematic Study of Post-training Quantization for Diffusion LLMs

Haokun Lin, Haobo Xu, Yichen Wu +6

cs.LG2025

SD-LoRA: Scalable Decoupled Low-Rank Adaptation for Class Incremental Learning

Yichen Wu, Hongming Piao, Long-Kai Huang +6

eess.IV2020

Hypergraph Learning for Identification of COVID-19 with CT Imaging

Donglin Di, Feng Shi, Fuhua Yan +12

stat.ME2024

ZIKQ: An innovative centile chart method for utilizing natural history data in rare disease clinical development

Tianying Wang, Wenfei Zhang, Ying Wei

stat.ME2021

Modeling Heterogeneity and Missing Data of Multiple Longitudinal Outcomes in Electronic Health Records

Rebecca Anthopolos, Ying Wei, Qixuan Chen

cs.LG2026

Integrating chemical structures as treatments improves representations of microscopy images for morphological profiling

Yemin Yu, Emre Hayir, Neil Tenenholtz +5

stat.AP2015

Regression based principal component analysis for sparse functional data with applications to screening growth paths

Wenfei Zhang, Ying Wei

stat.AP2012

Profile control charts based on nonparametric $L$-1 regression methods

Ying Wei, Zhibiao Zhao, Dennis K. J. Lin

cs.CL2024

Benchmarking and Improving Compositional Generalization of Multi-aspect Controllable Text Generation

Tianqi Zhong, Zhaoyi Li, Quan Wang +4

cs.CV2026

When Structured Sparse Autoencoders Learn Consistent Concepts Across Modalities

Weiduo Liao, Yunqiao Yang, Ying Wei

cs.LG2019

Transferable Neural Processes for Hyperparameter Optimization

Ying Wei, Peilin Zhao, Huaxiu Yao +1

cs.CV2023

Concept-wise Fine-tuning Matters in Preventing Negative Transfer

Yunqiao Yang, Long-Kai Huang, Ying Wei

cs.CV2024

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric

Haokun Lin, Haoli Bai, Zhili Liu +5

math.NA2020

Parallel energy-stable solver for a coupled Allen-Cahn and Cahn-Hilliard system

Jizu Huang, Chao Yang, Ying Wei

cs.CL2018

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification

Zheng Li, Ying Wei, Yu Zhang +3

cs.CL2024

Understanding and Patching Compositional Reasoning in LLMs

Zhaoyi Li, Gangwei Jiang, Hong Xie +3

cs.LG2024

CopRA: A Progressive LoRA Training Strategy

Zhan Zhuang, Xiequn Wang, Yulong Zhang +3

cs.CL2023

Learning to Substitute Spans towards Improving Compositional Generalization

Zhaoyi Li, Ying Wei, Defu Lian

cs.LG2021

Improving Generalization in Meta-learning via Task Augmentation

Huaxiu Yao, Longkai Huang, Linjun Zhang +5

quant-ph2022

A Scheme for Deterministic N-photon State Generation Using Lithium Niobate on Insulator Device

Hua-Ying Liu, Minghao Shang, Xiaoyi Liu +6

quant-ph2026

High Success Probability, Fidelity, and Purity Nonlinear Optical Two-Qubit Gates on Chip

Minghao Shang, Hua-Ying Liu, Ying Wei +5

eess.IV2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge

Yue Sun, Kun Gao, Zhengwang Wu +30

stat.ME2016

Post-Selection Inference for Generalized Linear Models with Many Controls

Alexandre Belloni, Victor Chernozhukov, Ying Wei

cond-mat.soft2015

Transition of defect patterns from 2D to 3D in liquid crystals

Yang Qu, Ying Wei, Pingwen Zhang

cs.CV2024

Learning Where to Edit Vision Transformers

Yunqiao Yang, Long-Kai Huang, Shengzhuang Chen +2

cs.CV2024

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts

Shengzhuang Chen, Jihoon Tack, Yunqiao Yang +3

cs.LG2022

Learning to generate imaginary tasks for improving generalization in meta-learning

Yichen Wu, Long-Kai Huang, Ying Wei

cs.CV2020

Collaborative Unsupervised Domain Adaptation for Medical Image Diagnosis

Yifan Zhang, Ying Wei, Qingyao Wu +4

cs.CL2026

Rethinking Memory as Continuously Evolving Connectivity

Jizhan Fang, Buqiang Xu, Zhixian Wang +12

stat.ME2022

Wasserstein Distributional Learning

Chengliang Tang, Nathan Lenssen, Ying Wei +1

cs.AI2025

What Makes a Good Reasoning Chain? Uncovering Structural Patterns in Long Chain-of-Thought Reasoning

Gangwei Jiang, Yahui Liu, Zhaoyi Li +5

cs.CL2023

Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompt

Gangwei Jiang, Caigao Jiang, Siqiao Xue +4

cs.CL2026

On the Role of Reasoning Patterns in the Generalization Discrepancy of Long Chain-of-Thought Supervised Fine-Tuning

Zhaoyi Li, Xiangyu Xi, Zhengyu Chen +6

cs.LG2025

Resolving Conflicts in Lifelong Learning via Aligning Updates in Subspaces

Yueer Zhou, Yichen Wu, Ying Wei

cs.LG2025

CREAM: Consistency Regularized Self-Rewarding Language Models

Zhaoyang Wang, Weilei He, Zhiyuan Liang +5

cs.CV2024

Understanding the Multi-modal Prompts of the Pre-trained Vision-Language Model

Shuailei Ma, Chen-Wei Xie, Ying Wei +5

cs.CV2026

DuQuant++: Fine-grained Rotation Enhances Microscaling FP4 Quantization

Haokun Lin, Xinle Jia, Haobo Xu +7

cs.CV2024

SKDF: A Simple Knowledge Distillation Framework for Distilling Open-Vocabulary Knowledge to Open-world Object Detector

Shuailei Ma, Yuefeng Wang, Ying Wei +4

cs.RO2026

RoBoSR: Structured Scene Representations for Embodied Robotic Reasoning

Kewei Hu, Wanchan Yu, Fangwen Chen +6

cs.CL2024

Mitigating the Language Mismatch and Repetition Issues in LLM-based Machine Translation via Model Editing

Weichuan Wang, Zhaoyi Li, Defu Lian +3

stat.ME2026

Adaptive and Efficient Learning with Blockwise Missing and Semi-Supervised Data

Yiming Li, Ruoyu Wang, Ying Wei +1

cs.LG2021

Meta-learning with an Adaptive Task Scheduler

Huaxiu Yao, Yu Wang, Ying Wei +4

cs.LG2020

Learning from Multiple Cities: A Meta-Learning Approach for Spatial-Temporal Prediction

Huaxiu Yao, Yiding Liu, Ying Wei +2

math.ST2007

Rejoinder: Conditional Growth Charts

Ying Wei, Xuming He

q-bio.BM2020

Self-Supervised Graph Transformer on Large-Scale Molecular Data

Yu Rong, Yatao Bian, Tingyang Xu +4

cs.LG2019

Hierarchically Structured Meta-learning

Huaxiu Yao, Ying Wei, Junzhou Huang +1

cs.LG2025

Mixture of Low Rank Adaptation with Partial Parameter Sharing for Time Series Forecasting

Licheng Pan, Zhichao Chen, Haoxuan Li +5

cs.CV2023

FGAHOI: Fine-Grained Anchors for Human-Object Interaction Detection

Shuailei Ma, Yuefeng Wang, Shanze Wang +1

stat.ME2020

Integrated Quantile RAnk Test (iQRAT) for gene-level associations

Tianying Wang, Iuliana Ionita-Laza, Ying Wei

cs.LG2025

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation

Zhan Zhuang, Xiequn Wang, Wei Li +9

cs.CV2025

CellFMCount: A Fluorescence Microscopy Dataset, Benchmark, and Methods for Cell Counting

Abdurahman Ali Mohammed, Catherine Fonder, Ying Wei +4

cs.LG2020

Fisher Deep Domain Adaptation

Yinghua Zhang, Yu Zhang, Ying Wei +3

cs.CL2025

Learning to Substitute Components for Compositional Generalization

Zhaoyi Li, Gangwei Jiang, Chenwang Wu +3

cs.CV2023

CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection

Shuailei Ma, Yuefeng Wang, Jiaqi Fan +4

cs.CV2025

Improving Alignment in LVLMs with Debiased Self-Judgment

Sihan Yang, Chenhang Cui, Zihao Zhao +4

stat.ME2024

Quantile Graph Discovery through QuACC: Quantile Association via Conditional Concordance

Zain Khan, Daniel Malinsky, Martin Picard +3

cs.LG2024

From Words to Molecules: A Survey of Large Language Models in Chemistry

Chang Liao, Yemin Yu, Yu Mei +1

cs.CV2022

Discriminative-Region Attention and Orthogonal-View Generation Model for Vehicle Re-Identification

Huadong Li, Yuefeng Wang, Ying Wei +2

cs.CV2020

Infant brain MRI segmentation with dilated convolution pyramid downsampling and self-attention

Zhihao Lei, Lin Qi, Ying Wei +1

stat.ME2019

Uniformly Valid Post-Regularization Confidence Regions for Many Functional Parameters in Z-Estimation Framework

Alexandre Belloni, Victor Chernozhukov, Denis Chetverikov +1

cs.CV2025

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models

Jiabing Yang, Chenhang Cui, Yiyang Zhou +6

cs.LG2020

Graph Few-shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei +5