Jingwen Ye

70 papers A* 19A 4C 1Journal 38Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anatomy of a Lie: A Multi-Stage Diagnostic Framework for Tracing Hallucinations in Vision-Language Models.
CoRR
Lexiang Xiong, Qi Li, Jingwen Ye, Xinchao Wang
2026 J jnl
FastPhysGS: Accelerating Physics-based Dynamic 3DGS Simulation via Interior Completion and Adaptive Optimization.
CoRR
Yikun Ma, Yiqing Li, Jingwen Ye, Zhongkai Wu, Weidong Zhang, Lin Gao, Zhi Jin
2026 J jnl
StdGEN++: A Comprehensive System for Semantic-Decomposed 3D Character Generation.
CoRR
Yuze He, Yanning Zhou, Wang Zhao, Jingwen Ye, Zhongkai Wu, Ran Yi, Yong-Jin Liu
2025 A conf
A Study on the Generation of Single Cell Droplets via the Combination of Lateral-Field Optoelectronic Tweezers and Electrowetting-on-Dielectric.
IROS
Jiawei Zhao, Shunxiao Huang, Hongyi Xiong, Chunyuan Gan, Jingwen Ye, Wenyan Niu, Lin Feng
2025 A* conf
CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling.
SIGGRAPH Asia
Yuze He, Yanning Zhou, Wang Zhao, Jingwen Ye, Yushi Bai, Kaiwen Xiao, Yong-Jin Liu, Zhongqian Sun, Wei Yang
2025 J jnl
CHARM: Control-point-based 3D Anime Hairstyle Auto-Regressive Modeling.
CoRR
Yuze He, Yanning Zhou, Wang Zhao, Jingwen Ye, Yushi Bai, Kaiwen Xiao, Yong-Jin Liu, Zhongqian Sun, Wei Yang
2025 J jnl
From One to Many: Portable Model Construction With Independent Network Units.
IEEE Internet Things J.
Zhaocheng Lu, Haofei Zhang, Li Sun, Jiabin Xia, Jingwen Ye, Mingli Song
2025 A conf
High-Precision Parallel Manipulation of Multi-Particle System Using Optoelectronic Tweezers.
IROS
Shunxiao Huang, Jiawei Zhao, Chunyuan Gan, Zijin Zeng, Hongyi Xiong, Jingwen Ye, Wenyan Niu, Ao Wang, Chan Li, Hongyan Sun, Zaiyang Chen, Yingjian Guo, Lin Feng
2025 J jnl
OpenView: Empowering MLLMs with Out-of-view VQA.
CoRR
Qixiang Chen, Cheng Zhang, Chi-Wing Fu, Jingwen Ye, Jianfei Cai
2025 J jnl
PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive Transformer.
CoRR
Jingwen Ye, Yuze He, Yanning Zhou, Yiqin Zhu, Kaiwen Xiao, Yong-Jin Liu, Wei Yang, Xiao Han
2025 — conf
PrimitiveAnything: Human-Crafted 3D Primitive Assembly Generation with Auto-Regressive transformer.
SIGGRAPH (Conference Paper Track)
Jingwen Ye, Yuze He, Yanning Zhou, Yiqin Zhu, Kaiwen Xiao, Yong-Jin Liu, Wei Yang, Xiao Han
2025 A conf
Reinforced Model Merging.
ICME
Jiaqi Han, Jingwen Ye, Shunyu Liu, Haofei Zhang, Jie Song, Zunlei Feng, Mingli Song
2025 J jnl
Reinforced Model Merging.
CoRR
Jiaqi Han, Jingwen Ye, Shunyu Liu, Haofei Zhang, Jie Song, Zunlei Feng, Mingli Song
2025 J jnl
Semantic Surgery: Zero-Shot Concept Erasure in Diffusion Models.
CoRR
Lexiang Xiong, Chengyu Liu, Jingwen Ye, Yan Liu, Yuecong Xu
2024 J jnl
Adversarial Training: A Survey.
CoRR
Mengnan Zhao, Lihe Zhang, Jingwen Ye, Huchuan Lu, Baocai Yin, Xinchao Wang
2024 A* conf
Distilled Datamodel with Reverse Gradient Matching.
CVPR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 J jnl
Distilled Datamodel with Reverse Gradient Matching.
CoRR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 J jnl
Heavy Labels Out! Dataset Distillation with Label Space Lightening.
CoRR
Ruonan Yu, Songhua Liu, Zigeng Chen, Jingwen Ye, Xinchao Wang
2024 A* conf
Improving Adversarial Robustness via Feature Pattern Consistency Constraint.
IJCAI
Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song
2024 J jnl
Improving Adversarial Robustness via Feature Pattern Consistency Constraint.
CoRR
Jiacong Hu, Jingwen Ye, Zunlei Feng, Jiazhen Yang, Shunyu Liu, Xiaotian Yu, Lingxiang Jia, Mingli Song
2024 A* conf
Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks.
NeurIPS
Jiacong Hu, Jing Gao, Jingwen Ye, Yang Gao, Xingen Wang, Zunlei Feng, Mingli Song
2024 A* conf
Mutual-Modality Adversarial Attack with Semantic Perturbation.
AAAI
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2024 — conf
Sperm Manipulation and Selection Platform Using Optoelectronic Tweezers.
ROBIO
Shunxiao Huang, Jiawei Zhao, Chunyuan Gan, Hongyi Xiong, Jingwen Ye, Hongyan Sun, Wenyan Niu, Ao Wang, Bo Chen, Zijin Zeng, Chan Li, Lin Feng
2024 A* conf
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
ICML
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
2024 J jnl
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization.
CoRR
Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang
2024 — conf
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
ECCV (46)
Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang
2024 J jnl
Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching.
CoRR
Ruonan Yu, Songhua Liu, Jingwen Ye, Xinchao Wang
2024 A* conf
Transformer Doctor: Diagnosing and Treating Vision Transformers.
NeurIPS
Jiacong Hu, Hao Chen, Kejia Chen, Yang Gao, Jingwen Ye, Xingen Wang, Mingli Song, Zunlei Feng
2024 A* conf
Ungeneralizable Examples.
CVPR
Jingwen Ye, Xinchao Wang
2024 J jnl
Ungeneralizable Examples.
CoRR
Jingwen Ye, Xinchao Wang
2023 J jnl
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate.
CoRR
Songhua Liu, Jingwen Ye, Xinchao Wang
2023 A* conf
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
KDD
Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Ji Qiao, Yun Su, Yingjie Tian, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song
2023 J jnl
Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization.
CoRR
Kaixuan Chen, Shunyu Liu, Tongtian Zhu, Tongya Zheng, Haofei Zhang, Zunlei Feng, Jingwen Ye, Mingli Song
2023 J jnl
Mutual-modality Adversarial Attack with Semantic Perturbation.
CoRR
Jingwen Ye, Ruonan Yu, Songhua Liu, Xinchao Wang
2023 A* conf
Partial Network Cloning.
CVPR
Jingwen Ye, Songhua Liu, Xinchao Wang
2023 J jnl
Partial Network Cloning.
CoRR
Jingwen Ye, Songhua Liu, Xinchao Wang
2023 A* conf
Slimmable Dataset Condensation.
CVPR
Songhua Liu, Jingwen Ye, Runpeng Yu, Xinchao Wang
2022 J jnl
A Survey of Neural Trees.
CoRR
Haoling Li, Jie Song, Mengqi Xue, Haofei Zhang, Jingwen Ye, Lechao Cheng, Mingli Song
2022 J jnl
Data Cleaning and AutoML: Would an Optimizer Choose to Clean?
Datenbank-Spektrum
Felix Neutatz, Binger Chen, Yazan Alkhatib, Jingwen Ye, Ziawasch Abedjan
2022 A* conf
Dataset Distillation via Factorization.
NeurIPS
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 J jnl
Dataset Distillation via Factorization.
CoRR
Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 A* conf
Deep Model Reassembly.
NeurIPS
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022 J jnl
Deep Model Reassembly.
CoRR
Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang
2022 — conf
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
ECCV (16)
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
2022 J jnl
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation.
CoRR
Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang
2022 — conf
Factorizing Knowledge in Neural Networks.
ECCV (34)
Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 J jnl
Factorizing Knowledge in Neural Networks.
CoRR
Xingyi Yang, Jingwen Ye, Xinchao Wang
2022 C conf
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples.
VCIP
Jingwen Ye, Zunlei Feng, Xinchao Wang
2022 — conf
Learning with Recoverable Forgetting.
ECCV (11)
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022 J jnl
Learning with Recoverable Forgetting.
CoRR
Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang
2022 A* conf
Safe Distillation Box.
AAAI
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2022 J jnl
Spot-Adaptive Knowledge Distillation.
IEEE Trans. Image Process.
Jie Song, Ying Chen, Jingwen Ye, Mingli Song
2022 J jnl
Spot-adaptive Knowledge Distillation.
CoRR
Jie Song, Ying Chen, Jingwen Ye, Mingli Song
2022 — conf
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels.
ECCV Workshops (8)
Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua
2021 A* conf
Online Knowledge Distillation for Efficient Pose Estimation.
ICCV
Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan
2021 J jnl
Online Knowledge Distillation for Efficient Pose Estimation.
CoRR
Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan
2021 J jnl
Safe Distillation Box.
CoRR
Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song
2021 — conf
Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.
PRCV (4)
Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song
2020 A* conf
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
CVPR
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020 J jnl
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability.
CoRR
Jie Song, Yixin Chen, Jingwen Ye, Xinchao Wang, Chengchao Shen, Feng Mao, Mingli Song
2020 A* conf
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020 J jnl
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song
2020 J jnl
Edge-Sensitive Human Cutout With Hierarchical Granularity and Loopy Matting Guidance.
IEEE Trans. Image Process.
Jingwen Ye, Yongcheng Jing, Xinchao Wang, Kairi Ou, Dacheng Tao, Mingli Song
2020 J jnl
Neural Style Transfer: A Review.
IEEE Trans. Vis. Comput. Graph.
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song
2019 A* conf
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
IJCAI
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 J jnl
Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.
CoRR
Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song
2019 A* conf
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CVPR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2019 J jnl
Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.
CoRR
Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
2018 A conf
Finer-Net: Cascaded Human Parsing with Hierarchical Granularity.
ICME
Jingwen Ye, Zunlei Feng, Yongcheng Jing, Mingli Song
2017 J jnl
Neural Style Transfer: A Review.
CoRR
Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song