Zhang, Yong

99 publications

ICLR 2026 Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry Zhuochun Li, Yong Zhang, Ming Li, Yuelyu Ji, Yiming Zeng, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao, Daqing He

ICLR 2026 Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes Mohsen Gholami, Ahmad Rezaei, Zhou Weimin, Sitong Mao, Shunbo Zhou, Yong Zhang, Mohammad Akbari

IJCAI 2025 A Cross-Modal Densely Guided Knowledge Distillation Based on Modality Rebalancing Strategy for Enhanced Unimodal Emotion Recognition Shuang Wu, Heng Liang, Yong Zhang, Yanlin Chen, Ziyu Jia

NeurIPS 2025 A Multimodal BiMamba Network with Test-Time Adaptation for Emotion Recognition Based on Physiological Signals Ziyu Jia, Tingyu Du, Zhengyu Tian, Hongkai Li, Yong Zhang, Chenyu Liu

CVPR 2025 CASP: Compression of Large Multimodal Models Based on Attention Sparsity Mohsen Gholami, Mohammad Akbari, Kevin Cannons, Yong Zhang

AAAI 2025 CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities Tao Wu, Yong Zhang, Xintao Wang, Xianpan Zhou, Guangcong Zheng, Zhongang Qi, Ying Shan, Xi Li

AAAI 2025 CustomTTT: Motion and Appearance Customized Video Generation via Test-Time Training Xiuli Bi, Jian Lu, Bo Liu, Xiaodong Cun, Yong Zhang, Weisheng Li, Bin Xiao

CVPR 2025 DepthCrafter: Generating Consistent Long Depth Sequences for Open-World Videos Wenbo Hu, Xiangjun Gao, Xiaoyu Li, Sijie Zhao, Xiaodong Cun, Yong Zhang, Long Quan, Ying Shan

CVPR 2025 DiTCtrl: Exploring Attention Control in Multi-Modal Diffusion Transformer for Tuning-Free Multi-Prompt Longer Video Generation Minghong Cai, Xiaodong Cun, Xiaoyu Li, Wenze Liu, Zhaoyang Zhang, Yong Zhang, Ying Shan, Xiangyu Yue

ICLR 2025 Diffusion-Based Decoupled Deterministic and Uncertain Framework for Probabilistic Multivariate Time Series Forecasting Qi Li, Zhenyu Zhang, Lei Yao, Zhaoxia Li, Tianyi Zhong, Yong Zhang

CVPR 2025 DivPrune: Diversity-Based Visual Token Pruning for Large Multimodal Models Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari, Yong Zhang

ICML 2025 Efficiently Serving Large Multimodal Models Using EPD Disaggregation Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Bai Xiaolong, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan

AAAI 2025 Evaluating LLM Reasoning in the Operations Research Domain with ORQA Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang

ICCV 2025 FedPall: Prototype-Based Adversarial and Collaborative Learning for Federated Learning with Feature Drift Yong Zhang, Feng Liang, Guanghu Yuan, Min Yang, Chengming Li, Xiping Hu

AAAI 2025 Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang

NeurIPS 2025 Let Them Talk: Audio-Driven Multi-Person Conversational Video Generation Zhe Kong, Feng Gao, Yong Zhang, Zhuoliang Kang, Xiaoming Wei, Xunliang Cai, Guanying Chen, Wenhan Luo

ICLRW 2025 Reasoning3D - Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation via Large Vision-Language Models Tianrun Chen, Chunan Yu, Jing Li, Jianqi Zhang, Lanyun Zhu, Deyi Ji, Yong Zhang, Ying Zang, Lingyun Sun, Zejian Li

AAAI 2025 Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue, Ahmad Rezaei, Yong Zhang

WACV 2025 Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang

NeurIPS 2024 CV-VAE: A Compatible Video VAE for Latent Generative Video Models Sijie Zhao, Yong Zhang, Xiaodong Cun, Shaoshu Yang, Muyao Niu, Xiaoyu Li, Wenbo Hu, Ying Shan

ECCV 2024 Cocktail Universal Adversarial Attack on Deep Neural Networks Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu

ECCV 2024 DynamiCrafter: Animating Open-Domain Images with Video Diffusion Priors Jinbo Xing, Menghan Xia, Yong Zhang, Haoxin Chen, Wangbo Yu, Hanyuan Liu, Gongye Liu, Xintao Wang, Ying Shan, Tien-Tsin Wong

CVPR 2024 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models Yaofang Liu, Xiaodong Cun, Xuebo Liu, Xintao Wang, Yong Zhang, Haoxin Chen, Yang Liu, Tieyong Zeng, Raymond Chan, Ying Shan

ICLR 2024 Fair and Efficient Contribution Valuation for Vertical Federated Learning Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael Friedlander, Yong Zhang

ICLR 2024 FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling Haonan Qiu, Menghan Xia, Yong Zhang, Yingqing He, Xintao Wang, Ying Shan, Ziwei Liu

NeurIPS 2024 LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu

ECCV 2024 LaWa: Using Latent Space for In-Generation Image Watermarking Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang

ECCV 2024 MOFA-Video: Controllable Image Animation via Generative Motion Field Adaptions in Frozen Image-to-Video Diffusion Model Muyao Niu, Xiaodong Cun, Xintao Wang, Yong Zhang, Ying Shan, Yinqiang Zheng

ECCV 2024 Make a Cheap Scaling: A Self-Cascade Diffusion Model for Higher-Resolution Adaptation Lanqing Guo, Yingqing He, Haoxin Chen, Menghan Xia, Xiaodong Cun, Yufei Wang, Siyu Huang, Yong Zhang, Xintao Wang, Qifeng Chen, Ying Shan, Bihan Wen

CVPR 2024 Make-Your-Anchor: A Diffusion-Based 2D Avatar Generation Framework Ziyao Huang, Fan Tang, Yong Zhang, Xiaodong Cun, Juan Cao, Jintao Li, Tong-Yee Lee

ECCV 2024 Noise Calibration: Plug-and-Play Content-Preserving Video Enhancement Using Pre-Trained Video Diffusion Models Qinyu Yang, Haoxin Chen, Yong Zhang, Menghan Xia, Xiaodong Cun, Zhixun Su, Ying Shan

ECCV 2024 OMG: Occlusion-Friendly Personalized Multi-Concept Generation in Diffusion Models Zhe Kong, Yong Zhang, Tianyu Yang, Tao Wang, Kaihao Zhang, Bizhu Wu, Guanying Chen, Wei Liu, Wenhan Luo

AAAI 2024 Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants Xianrun Chen, Dachuan Xu, Yicheng Xu, Yong Zhang

ICLR 2024 ScaleCrafter: Tuning-Free Higher-Resolution Visual Generation with Diffusion Models Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan

ECCVW 2024 Storytelling Video Generation with Retrieval Augmentation and Character Consistency Yingqing He, Menghan Xia, Haoxin Chen, Xiaodong Cun, Yuan Gong, Jinbo Xing, Yong Zhang, Xintao Wang, Chao Weng, Ying Shan, Qifeng Chen

CVPR 2024 VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models Haoxin Chen, Yong Zhang, Xiaodong Cun, Menghan Xia, Xintao Wang, Chao Weng, Ying Shan

CVPR 2023 3D GAN Inversion with Facial Symmetry Prior Fei Yin, Yong Zhang, Xuan Wang, Tengfei Wang, Xiaoyu Li, Yuan Gong, Yanbo Fan, Xiaodong Cun, Ying Shan, Cengiz Oztireli, Yujiu Yang

ICCV 2023 Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation Zunnan Xu, Zhihong Chen, Yong Zhang, Yibing Song, Xiang Wan, Guanbin Li

AAAI 2023 CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying Weihuang Liu, Xiaodong Cun, Chi-Man Pun, Menghan Xia, Yong Zhang, Jue Wang

CVPR 2023 DPE: Disentanglement of Pose and Expression for General Video Portrait Editing Youxin Pang, Yong Zhang, Weize Quan, Yanbo Fan, Xiaodong Cun, Ying Shan, Dong-Ming Yan

NeurIPS 2023 DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection Zhiyuan Yan, Yong Zhang, Xinhang Yuan, Siwei Lyu, Baoyuan Wu

ICCV 2023 Domain Generalization via Rationale Invariance Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu

ICCV 2023 ETran: Energy-Based Transferability Estimation Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang

ECML-PKDD 2023 Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang

ICCV 2023 FateZero: Fusing Attentions for Zero-Shot Text-Based Video Editing Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen

CVPR 2023 Fine-Grained Face Swapping via Regional GAN Inversion Zhian Liu, Maomao Li, Yong Zhang, Cairong Wang, Qi Zhang, Jue Wang, Yongwei Nie

CVPR 2023 Generating Human Motion from Textual Descriptions with Discrete Representations Jianrong Zhang, Yangsong Zhang, Xiaodong Cun, Yong Zhang, Hongwei Zhao, Hongtao Lu, Xi Shen, Ying Shan

CVPR 2023 High-Fidelity Clothed Avatar Reconstruction from a Single Image Tingting Liao, Xiaomei Zhang, Yuliang Xiu, Hongwei Yi, Xudong Liu, Guo-Jun Qi, Yong Zhang, Xuan Wang, Xiangyu Zhu, Zhen Lei

CVPR 2023 High-Fidelity Facial Avatar Reconstruction from Monocular Video with Generative Priors Yunpeng Bai, Yanbo Fan, Xuan Wang, Yong Zhang, Jingxiang Sun, Chun Yuan, Ying Shan

CVPR 2023 Improved Test-Time Adaptation for Domain Generalization Liang Chen, Yong Zhang, Yibing Song, Ying Shan, Lingqiao Liu

NeurIPS 2023 Inserting Anybody in Diffusion Models via Celeb Basis Ge Yuan, Xiaodong Cun, Yong Zhang, Maomao Li, Chenyang Qi, Xintao Wang, Ying Shan, Huicheng Zheng

CVPR 2023 Learning to Generate Language-Supervised and Open-Vocabulary Scene Graph Using Pre-Trained Visual-Semantic Space Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen

CVPR 2023 Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars Jingxiang Sun, Xuan Wang, Lizhen Wang, Xiaoyu Li, Yong Zhang, Hongwen Zhang, Yebin Liu

CVPR 2023 SadTalker: Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation Wenxuan Zhang, Xiaodong Cun, Xuan Wang, Yong Zhang, Xi Shen, Yu Guo, Ying Shan, Fei Wang

ICML 2023 Smart Initial Basis Selection for Linear Programs Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou

ICCV 2023 ToonTalker: Cross-Domain Face Reenactment Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang

ICCV 2023 UCF: Uncovering Common Features for Generalizable Deepfake Detection Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu

CVPRW 2022 AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang

NeurIPS 2022 Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation Zeyu Qin, Yanbo Fan, Yi Liu, Li Shen, Yong Zhang, Jue Wang, Baoyuan Wu

AAAI 2022 Cosine Model Watermarking Against Ensemble Distillation Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

AAAI 2022 Debiasing NLU Models via Causal Intervention and Counterfactual Reasoning Bing Tian, Yixin Cao, Yong Zhang, Chunxiao Xing

CVPR 2022 Exploring Structure-Aware Transformer over Interaction Proposals for Human-Object Interaction Detection Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang-Wen Chen

CVPR 2022 FENeRF: Face Editing in Neural Radiance Fields Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang

CVPR 2022 High-Fidelity GAN Inversion for Image Attribute Editing Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen

CVPR 2022 LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

ECCVW 2022 MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results Ruicheng Feng, Chongyi Li, Shangchen Zhou, Wenxiu Sun, Qingpeng Zhu, Jun Jiang, Qingyu Yang, Chen Change Loy, Jinwei Gu, Yurui Zhu, Xi Wang, Xueyang Fu, Xiaowei Hu, Jinfan Hu, Xina Liu, Xiangyu Chen, Chao Dong, Dafeng Zhang, Feiyu Huang, Shizhuo Liu, Xiaobing Wang, Zhezhu Jin, Xuhao Jiang, Guangqi Shao, Xiaotao Wang, Lei Lei, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Tao Huang, Zhenxuan Fang, Mengluan Huang, Junwei Xu, Yong Zhang, Yuechi Yang, Qidi Shu, Zhiwen Yang, Shaocong Li, Mingde Yao, Ruikang Xu, Yuanshen Guan, Jie Huang, Zhiwei Xiong, Hangyan Zhu, Ming Liu, Shaohui Liu, Wangmeng Zuo, Zhuang Jia, Binbin Song, Ziqi Song, Guiting Mao, Ben Hou, Zhimou Liu, Yi Ke, Dengpei Ouyang, Dekui Han, Jinghao Zhang, Qi Zhu, Naishan Zheng, Feng Zhao, Wu Jin, Marcos V. Conde, Sabari Nathan, Radu Timofte, Tianyi Xu, Jun Xu, P. S. Hrishikesh, Densen Puthussery, C. V. Jiji, Biao Jiang, Yuhan Ding, WanZhang Li, Xiaoyue Feng, Sijing Chen, Tianheng Zhong, Jiyang Lu, Hongming Chen, Zhentao Fan, Xiang Chen

NeurIPS 2022 OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu

ECCV 2022 Prior-Guided Adversarial Initialization for Fast Adversarial Training Xiaojun Jia, Yong Zhang, Xingxing Wei, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao

CVPR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang

ECCV 2022 SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang

ECCV 2022 StyleHEAT: One-Shot High-Resolution Editable Talking Face Generation via Pre-Trained StyleGAN Fei Yin, Yong Zhang, Xiaodong Cun, Mingdeng Cao, Yanbo Fan, Xuan Wang, Qingyan Bai, Baoyuan Wu, Jue Wang, Yujiu Yang

ECCVW 2022 Towards Real-World Video Deblurring by Exploring Blur Formation Process Mingdeng Cao, Zhihang Zhong, Yanbo Fan, Jiahao Wang, Yong Zhang, Jue Wang, Yujiu Yang, Yinqiang Zheng

ICCV 2021 DAE-GAN: Dynamic Aspect-Aware GAN for Text-to-Image Synthesis Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen

ICCV 2021 Finding Representative Interpretations on Convolutional Neural Networks Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

CVPR 2021 Generalizing Face Forgery Detection with High-Frequency Features Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu

ICCV 2021 Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang

AAAI 2021 Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

CVPR 2021 Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang

NeurIPS 2021 Robust Counterfactual Explanations on Graph Neural Networks Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang

ICCVW 2021 Semi-Autoregressive Transformer for Image Captioning Yuanen Zhou, Yong Zhang, Zhenzhen Hu, Meng Wang

ICCV 2021 SimROD: A Simple Adaptation Method for Robust Object Detection Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang

ICLR 2021 Targeted Attack Against Deep Neural Networks via Flipping Limited Weight Bits Jiawang Bai, Baoyuan Wu, Yong Zhang, Yiming Li, Zhifeng Li, Shu-Tao Xia

IJCAI 2020 Discovering Subsequence Patterns for Next POI Recommendation Kangzhi Zhao, Yong Zhang, Hongzhi Yin, Jin Wang, Kai Zheng, Xiaofang Zhou, Chunxiao Xing

AAAI 2020 Label Error Correction and Generation Through Label Relationships Zijun Cui, Yong Zhang, Qiang Ji

ACML 2020 Robust Document Distance with Wasserstein-Fisher-Rao Metric Zihao Wang, Datong Zhou, Ming Yang, Yong Zhang, Chenglong Rao, Hao Wu

ECCV 2020 Sparse Adversarial Attack via Perturbation Factorization Yanbo Fan, Baoyuan Wu, Tuanhui Li, Yong Zhang, Mingyang Li, Zhifeng Li, Yujiu Yang

CVPR 2019 Compressing Convolutional Neural Networks via Factorized Convolutional Filters Tuanhui Li, Baoyuan Wu, Yujiu Yang, Yanbo Fan, Yong Zhang, Wei Liu

ICCV 2019 Context-Aware Feature and Label Fusion for Facial Action Unit Intensity Estimation with Partially Labeled Data Yong Zhang, Haiyong Jiang, Baoyuan Wu, Yanbo Fan, Qiang Ji

CVPR 2019 Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu

IJCAI 2019 Hierarchical Inter-Attention Network for Document Classification with Multi-Task Learning Bing Tian, Yong Zhang, Jin Wang, Chunxiao Xing

CVPR 2019 Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji

CVPR 2018 Bilateral Ordinal Relevance Multi-Instance Regression for Facial Action Unit Intensity Estimation Yong Zhang, Rui Zhao, Weiming Dong, Bao-Gang Hu, Qiang Ji

CVPR 2018 Classifier Learning with Prior Probabilities for Facial Action Unit Recognition Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji

IJCAI 2018 Hierarchical Electricity Time Series Forecasting for Integrating Consumption Patterns Analysis and Aggregation Consistency Yue Pang, Bo Yao, Xiangdong Zhou, Yong Zhang, Yiming Xu, Zijing Tan

CVPR 2018 Weakly-Supervised Deep Convolutional Neural Network Learning for Facial Action Unit Intensity Estimation Yong Zhang, Weiming Dong, Bao-Gang Hu, Qiang Ji

ACML 2016 Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews Zheng Chen, Yong Zhang, Yue Shang, Xiaohua Hu

NeurIPS 2011 Penalty Decomposition Methods for Rank Minimization Yong Zhang, Zhaosong Lu

CVPR 2004 Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, a Numerical Sensitivity Analysis Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar

CVPRW 2004 Significance of Elastic Properties in Physics-Based Nonrigid Motion Modeling, a Numerical Sensitivity Analysis Yong Zhang, Dmitry B. Goldgof, Sudeep Sarkar