Yong Zhang - RankMe

130 papers A* 16A 5B 2Journal 82Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Artificial intelligence for optimization: Unleashing the potential of parameter generation, model formulation, and solution methods. Eur. J. Oper. Res. Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2026	J	`jnl`	CPPO: Contrastive Perception for Vision Language Policy Optimization. CoRR Ahmad Rezaei, Mohsen Gholami, Saeed Ranjbar Alvar, Kevin Cannons, Mohammad Asiful Hossain, Zhou Weimin, Shunbo Zhou, Yong Zhang, Mohammad Akbari
2026	J	`jnl`	DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editing. CoRR Daesik Jang, Morgan Lindsay Heisler, Linzi Xing, Yifei Li, Edward Wang, Ying Xiong, Yong Zhang, Zhenan Fan
2026	—	`conf`	Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL. EACL (Findings) Md Mahadi Hasan Nahid, Davood Rafiei, Weiwei Zhang, Yong Zhang
2025	J	`jnl`	CASP: Compression of Large Multimodal Models Based on Attention Sparsity. CoRR Mohsen Gholami, Mohammad Akbari, Kevin Cannons, Yong Zhang
2025	J	`jnl`	DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models. CoRR Saeed Ranjbar Alvar, Gursimran Singh, Mohammad Akbari, Yong Zhang
2025	J	`jnl`	Do LLMs Align with My Task? Evaluating Text-to-SQL via Dataset Alignment. CoRR Davood Rafiei, Morgan Lindsay Heisler, Weiwei Zhang, Mohammadreza Pourreza, Yong Zhang
2025	A*	`conf`	Efficiently Serving Large Multimodal Models Using EPD Disaggregation. ICML Gursimran Singh, Xinglu Wang, Yifan Hu, Timothy Tin Long Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan
2025	J	`jnl`	Efficiently serving large multimedia models using EPD Disaggregation. CoRR Gursimran Singh, Xinglu Wang, Ivan Hu, Timothy T. L. Yu, Linzi Xing, Wei Jiang, Zhefeng Wang, Xiaolong Bai, Yi Li, Ying Xiong, Yong Zhang, Zhenan Fan
2025	J	`jnl`	ElasticMoE: An Efficient Auto Scaling Method for Mixture-of-Experts Models. CoRR Gursimran Singh, Timothy T. L. Yu, Haley Li, Cheng Chen, Hanieh Sadri, Qintao Zhang, Yu Zhang, Ying Xiong, Yong Zhang, Zhenan Fan
2025	—	`conf`	Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs. KDD (2) Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, Zhenan Fan
2025	J	`jnl`	Enhancing Learned Knowledge in LoRA Adapters Through Efficient Contrastive Decoding on Ascend NPUs. CoRR Morgan Lindsay Heisler, Linzi Xing, Ge Shi, Hanieh Sadri, Gursimran Singh, Weiwei Zhang, Tao Ye, Ying Xiong, Yong Zhang, Zhenan Fan
2025	A*	`conf`	Evaluating LLM Reasoning in the Operations Research Domain with ORQA. AAAI Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash, Rindra Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2025	J	`jnl`	From Segments to Scenes: Temporal Understanding in Autonomous Driving via Vision-Language Model. CoRR Kevin Cannons, Saeed Ranjbar Alvar, Mohammad Asiful Hossain, Ahmad Rezaei, Mohsen Gholami, Alireza Heidarikhazaei, Zhou Weimin, Yong Zhang, Mohammad Akbari
2025	J	`jnl`	HyperFlexis: Joint Design of Algorithms and Systems for Multi-SLO Serving and Fast Scaling. CoRR Zahra Yousefijamarani, Xinglu Wang, Qian Wang, Morgan Lindsay Heisler, Taha Shabani, Niloofar Gholipour, Parham Yassini, Hong Chang, Kan Chen, Qiantao Zhang, Xiaolong Bai, Jiannan Wang, Ying Xiong, Yong Zhang, Zhenan Fan
2025	A*	`conf`	Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. AAAI Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2025	J	`jnl`	MEPIC: Memory Efficient Position Independent Caching for LLM Serving. CoRR Qian Wang, Zahra Yousefijamarani, Morgan Lindsay Heisler, Rongzhi Gu, Xiaolong Bai, Shan Yizhou, Wei Zhang, Wang Lan, Ying Xiong, Yong Zhang, Zhenan Fan
2025	J	`jnl`	Rethinking Schema Linking: A Context-Aware Bidirectional Retrieval Approach for Text-to-SQL. CoRR Md Mahadi Hasan Nahid, Davood Rafiei, Weiwei Zhang, Yong Zhang
2025	J	`jnl`	SMARTAPS: Tool-augmented LLMs for Operations Management. CoRR Timothy Tin Long Yu, Mahdi Mostajabdaveh, Jabo Serge Byusa, Rindra Ramamonjison, Giuseppe Carenini, Kun Mao, Zirui Zhou, Yong Zhang
2025	J	`jnl`	Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes. CoRR Mohsen Gholami, Ahmad Rezaei, Zhou Weimin, Sitong Mao, Shunbo Zhou, Yong Zhang, Mohammad Akbari
2025	A	`conf`	Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. WACV Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang
2024	J	`jnl`	Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process. CoRR Zhenan Fan, Bissan Ghaddar, Xinglu Wang, Linzi Xing, Yong Zhang, Zirui Zhou
2024	—	`conf`	Cocktail Universal Adversarial Attack on Deep Neural Networks. ECCV (65) Shaoxin Li, Xiaofeng Liao, Xin Che, Xintong Li, Yong Zhang, Lingyang Chu
2024	J	`jnl`	DeTriever: Decoder-representation-based Retriever for Improving NL2SQL In-Context Learning. CoRR Yuxi Feng, Raymond Li, Zhenan Fan, Giuseppe Carenini, Mohammadreza Pourreza, Weiwei Zhang, Yong Zhang
2024	J	`jnl`	Evaluating LLM Reasoning in the Operations Research Domain with ORQA. CoRR Mahdi Mostajabdaveh, Timothy T. Yu, Samarendra Chandan Bindu Dash, Rindranirina Ramamonjison, Jabo Serge Byusa, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2024	A*	`conf`	Fair and Efficient Contribution Valuation for Vertical Federated Learning. ICLR Zhenan Fan, Huang Fang, Xinglu Wang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2024	—	`conf`	GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. NAACL-HLT (Findings) Mohsen Gholami, Mohammad Akbari, Tianxi Hu, Vaden Masrani, Z. Wang, Yong Zhang
2024	J	`jnl`	GOLD: Generalized Knowledge Distillation via Out-of-Distribution-Guided Language Data Generation. CoRR Mohsen Gholami, Mohammad Akbari, Cindy Hu, Vaden Masrani, Z. Jane Wang, Yong Zhang
2024	—	`conf`	LaWa: Using Latent Space for In-Generation Image Watermarking. ECCV (89) Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang
2024	J	`jnl`	LaWa: Using Latent Space for In-Generation Image Watermarking. CoRR Ahmad Rezaei, Mohammad Akbari, Saeed Ranjbar Alvar, Arezou Fatemi, Yong Zhang
2024	J	`jnl`	Learn2Aggregate: Supervised Generation of Chvátal-Gomory Cuts Using Graph Neural Networks. CoRR Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang
2024	J	`jnl`	Machine Learning Insides OptVerse AI Solver: Design Principles and Applications. CoRR Xijun Li, Fangzhou Zhu, Hui-Ling Zhen, Weilin Luo, Meng Lu, Yimin Huang, Zhenan Fan, Zirui Zhou, Yufei Kuang, Zhihai Wang, Zijie Geng, Yang Li, Haoyang Liu, Zhiwu An, Muming Yang, Jianshu Li, Jie Wang, Junchi Yan, Defeng Sun, Tao Zhong, Yong Zhang, Jia Zeng, Mingxuan Yuan, Jianye Hao, Jun Yao, Kun Mao
2024	J	`jnl`	Optimization modeling and verification from problem specifications using a multi-agent multi-stage LLM framework. INFOR Inf. Syst. Oper. Res. Mahdi Mostajabdaveh, Timothy T. L. Yu, Rindranirina Ramamonjison, Giuseppe Carenini, Zirui Zhou, Yong Zhang
2024	—	`conf`	Primary Key Free Watermarking for Numerical Tabular Datasets in Machine Learning. ICPR (31) Xin Che, Mohammad Akbari, Shaoxin Li, David (Ming Xuan) Yue, Yong Zhang, Lingyang Chu
2024	J	`jnl`	Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers. CoRR Vaden Masrani, Mohammad Akbari, David Ming Xuan Yue, Ahmad Rezaei, Yong Zhang
2024	—	`conf`	Towards Human-aligned Evaluation for Linear Programming Word Problems. LREC/COLING Linzi Xing, Xinglu Wang, Yuxi Feng, Zhenan Fan, Jing Xiong, Zhijiang Guo, Xiaojin Fu, Rindra Ramamonjison, Mahdi Mostajabdaveh, Xiongwei Han, Zirui Zhou, Yong Zhang
2024	J	`jnl`	Towards Secure and Usable 3D Assets: A Novel Framework for Automatic Visible Watermarking. CoRR Gursimran Singh, Tianxi Hu, Mohammad Akbari, Qiang Tang, Yong Zhang
2023	B	`conf`	ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoNLL Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
2023	J	`jnl`	ArchBERT: Bi-Modal Understanding of Neural Architectures and Natural Languages. CoRR Mohammad Akbari, Saeed Ranjbar Alvar, Behnam Kamranian, Amin Banitalebi-Dehkordi, Yong Zhang
2023	A	`conf`	Asynchronous, Option-Based Multi-Agent Policy Gradient: A Conditional Reasoning Approach. IROS Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
2023	J	`jnl`	Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach With Linear Convergence. IEEE Trans. Autom. Control. Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2023	A*	`conf`	ETran: Energy-Based Transferability Estimation. ICCV Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang
2023	J	`jnl`	ETran: Energy-Based Transferability Estimation. CoRR Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang
2023	—	`conf`	Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. ECML/PKDD (4) Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023	J	`jnl`	Exact Combinatorial Optimization with Temporo-Attentional Graph Neural Networks. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023	—	`conf`	LaTeX2Solver: a Hierarchical Semantic Parsing of LaTeX Document into Code for an Assistive Optimization Modeling Application. ACL (demo) Rindra Ramamonjison, Timothy T. L. Yu, Linzi Xing, Mahdi Mostajabdaveh, Xiaorui Li, Xiaojin Fu, Xiongwei Han, Yuanzhe Chen, Ren Li, Kun Mao, Yong Zhang
2023	A*	`conf`	NFT-Based Data Marketplace with Digital Watermarking. KDD Saeed Ranjbar Alvar, Mohammad Akbari, David (Ming Xuan) Yue, Yong Zhang
2023	J	`jnl`	NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. CoRR Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2023	A*	`conf`	Smart Initial Basis Selection for Linear Programs. ICML Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou
2022	—	`conf`	Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions. EMNLP (Industry Track) Rindra Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022	J	`jnl`	Augmenting Operations Research with Auto-Formulation of Optimization Models from Problem Descriptions. CoRR Rindranirina Ramamonjison, Haley Li, Timothy T. L. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2022	—	`conf`	AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CVPR Workshops Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
2022	J	`jnl`	AuxMix: Semi-Supervised Learning with Unconstrained Unlabeled Data. CoRR Amin Banitalebi-Dehkordi, Pratik Gujjar, Yong Zhang
2022	J	`jnl`	Cosine Model Watermarking Against Ensemble Distillation. CoRR Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
2022	A*	`conf`	Cosine Model Watermarking against Ensemble Distillation. AAAI Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
2022	J	`jnl`	Data pricing in machine learning pipelines. Knowl. Inf. Syst. Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang
2022	B	`conf`	Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. ICPR Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Deep Reinforcement Learning for Exact Combinatorial Optimization: Learning to Branch. CoRR Tianyu Zhang, Amin Banitalebi-Dehkordi, Yong Zhang
2022	—	`conf`	E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. ACL (1) Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	E-LANG: Energy-Based Joint Inferencing of Super and Swift Language Models. CoRR Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Estimating Visual Information From Audio Through Manifold Learning. CoRR Fabrizio Pedersoli, Dryden Wiebe, Amin Banitalebi, Yong Zhang, Kwang Moo Yi
2022	J	`jnl`	Extending Momentum Contrast With Cross Similarity Consistency Regularization. IEEE Trans. Circuits Syst. Video Technol. Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Extending Momentum Contrast with Cross Similarity Consistency Regularization. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Fair and efficient contribution valuation for vertical federated learning. CoRR Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Yong Zhang
2022	J	`jnl`	IPProtect: protecting the intellectual property of visual datasets during data valuation. CoRR Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang
2022	A*	`conf`	Improving Fairness for Data Valuation in Horizontal Federated Learning. ICDE Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2022	J	`jnl`	Knowledge-Injected Federated Learning. CoRR Zhenan Fan, Zirui Zhou, Jian Pei, Michael P. Friedlander, Jiajie Hu, Chengliang Li, Yong Zhang
2022	J	`jnl`	Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang
2022	—	`conf`	Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
2022	J	`jnl`	Multi-Agent Asynchronous Cooperation with Hierarchical Reinforcement Learning. CoRR Xubo Lyu, Amin Banitalebi-Dehkordi, Mo Chen, Yong Zhang
2022	J	`jnl`	Revealing Unfair Models by Mining Interpretable Evidence. CoRR Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
2022	—	`conf`	SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. ECCV (36) Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	SemAug: Semantically Meaningful Image Augmentations for Object Detection Through Language Grounding. CoRR Morgan Heisler, Amin Banitalebi-Dehkordi, Yong Zhang
2022	J	`jnl`	Spatial Cross-Attention Improves Self-Supervised Visual Representation Learning. CoRR Mehdi Seyfi, Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	Achieving Model Fairness in Vertical Federated Learning. CoRR Changxin Liu, Zirui Zhou, Yang Shi, Jian Pei, Lingyang Chu, Yong Zhang
2021	J	`jnl`	An Optimal Resource Allocator of Elastic Training for Deep Learning Jobs on Cloud. CoRR Liang Hu, Jiangcheng Zhu, Zirui Zhou, Ruiqing Cheng, Xiaolong Bai, Yong Zhang
2021	A*	`conf`	Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
2021	J	`jnl`	Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
2021	J	`jnl`	Data Pricing in Machine Learning Pipelines. CoRR Zicun Cong, Xuan Luo, Jian Pei, Feida Zhu, Yong Zhang
2021	J	`jnl`	Decentralized Composite Optimization in Stochastic Networks: A Dual Averaging Approach with Linear Convergence. CoRR Changxin Liu, Zirui Zhou, Jian Pei, Yong Zhang, Yang Shi
2021	A	`conf`	EBJR: Energy-Based Joint Reasoning for Adaptive Inference. BMVC Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	EBJR: Energy-Based Joint Reasoning for Adaptive Inference. CoRR Mohammad Akbari, Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang
2021	A*	`conf`	Finding Representative Interpretations on Convolutional Neural Networks. ICCV Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
2021	J	`jnl`	Finding Representative Interpretations on Convolutional Neural Networks. CoRR Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
2021	J	`jnl`	Improving Fairness for Data Valuation in Federated Learning. CoRR Zhenan Fan, Huang Fang, Zirui Zhou, Jian Pei, Michael P. Friedlander, Changxin Liu, Yong Zhang
2021	J	`jnl`	ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data. CoRR Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	Mining Minority-class Examples With Uncertainty Estimates. CoRR Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
2021	A	`conf`	Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? BMVC Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
2021	J	`jnl`	Model Composition: Can Multiple Neural Networks Be Combined into a Single Network Using Only Unlabeled Data? CoRR Amin Banitalebi-Dehkordi, Xinyu Kang, Yong Zhang
2021	—	`conf`	NL4Opt Competition: Formulating Optimization Problems Based on Their Natural Language Descriptions. NeurIPS (Competition and Demos) Rindranirina Ramamonjison, Timothy T. L. Yu, Raymond Li, Haley Li, Giuseppe Carenini, Bissan Ghaddar, Shiqi He, Mahdi Mostajabdaveh, Amin Banitalebi-Dehkordi, Zirui Zhou, Yong Zhang
2021	—	`conf`	Network-wide Traffic Signal Optimization under Connected Vehicles Environment. ITSC Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang
2021	A*	`conf`	Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
2021	A	`conf`	Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. BMVC Amin Banitalebi-Dehkordi, Yong Zhang
2021	J	`jnl`	Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples. CoRR Amin Banitalebi-Dehkordi, Yong Zhang
2021	A*	`conf`	Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
2021	J	`jnl`	Robust Counterfactual Explanations on Graph Neural Networks. CoRR Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
2021	A*	`conf`	SimROD: A Simple Adaptation Method for Robust Object Detection. ICCV Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
2021	J	`jnl`	SimROD: A Simple Adaptation Method for Robust Object Detection. CoRR Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang
2021	A*	`conf`	Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang
2021	A*	`conf`	Towards Fair Federated Learning. KDD Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang
2020	J	`jnl`	Logistic Regression Confined by Cardinality-Constrained Sample and Feature Selection. IEEE Trans. Pattern Anal. Mach. Intell. Ehsan Adeli, Xiaorui Li, Dongjin Kwon, Yong Zhang, Kilian M. Pohl
2020	J	`jnl`	Personalized Federated Learning: An Attentive Collaboration Approach. CoRR Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
2019	J	`jnl`	Denoising of Diffusion MRI Data via Graph Framelet Matching in x-q Space. IEEE Trans. Medical Imaging Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
2019	J	`jnl`	XQ-SR: Joint Medical Image Anal. Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
2018	J	`jnl`	Angular Upsampling in Infant Diffusion MRI Using Neighborhood Matching in x-q Space. Frontiers Neuroinformatics Geng Chen, Bin Dong, Yong Zhang, Weili Lin, Dinggang Shen, Pew-Thian Yap
2018	J	`jnl`	Qualitative Study of a 4D Chaos Financial System. Complex. Fuchen Zhang, Gaoxiang Yang, Yong Zhang, Xiaofeng Liao, Guangyun Zhang
2018	J	`jnl`	eCurves: A Temporal Shape Encoding. IEEE Trans. Biomed. Eng. Elena Bernardis, Yong Zhang, Ender Konukoglu, Yangming Ou, Harold S. Javitz, Leon Axel, Dimitris N. Metaxas, Benoit Desjardins, Kilian M. Pohl
2017	J	`jnl`	Computing group cardinality constraint solutions for logistic regression problems. Medical Image Anal. Yong Zhang, Dongjin Kwon, Kilian M. Pohl
2017	—	`conf`	Neighborhood Matching for Curved Domains with Application to Denoising in Diffusion MRI. MICCAI (1) Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap
2017	J	`jnl`	\(\ell _p\) Regularized low-rank approximation via iterative reweighted singular value minimization. Comput. Optim. Appl. Zhaosong Lu, Yong Zhang, Jian Lu
2017	—	`conf`	q-Space Upsampling Using x-q Space Regularization. MICCAI (1) Geng Chen, Bin Dong, Yong Zhang, Dinggang Shen, Pew-Thian Yap
2016	J	`jnl`	Harmonizing DTI measurements across scanners to examine the development of white matter microstructure in 803 adolescents of the NCANDA study. NeuroImage Kilian M. Pohl, Edith V. Sullivan, Torsten Rohlfing, Weiwei Chu, Dongjin Kwon, B. Nolan Nichols, Yong Zhang, Sandra A. Brown, Susan F. Tapert, Kevin Cummins, Wesley K. Thompson, Ty Brumback, Ian M. Colrain, Fiona C. Baker, Devin Prouty, Michael D. De Bellis, James T. Voyvodic, Duncan B. Clark, Claudiu V. Schirda, Bonnie J. Nagel, Adolf Pfefferbaum
2016	—	`conf`	Joint Data Harmonization and Group Cardinality Constrained Classification. MICCAI (1) Yong Zhang, Sang Hyun Park, Kilian M. Pohl
2016	J	`jnl`	Multi-Tissue Decomposition of Diffusion MRI Signals via ℓ IEEE Trans. Image Process. Pew-Thian Yap, Yong Zhang, Dinggang Shen
2016	—	`conf`	Tight Graph Framelets for Sparse Diffusion MRI q-Space Representation. MICCAI (3) Pew-Thian Yap, Bin Dong, Yong Zhang, Dinggang Shen
2015	—	`conf`	Brain Tissue Segmentation Based on Diffusion MRI Using ℓ0 Sparse-Group Representation Classification. MICCAI (3) Pew-Thian Yap, Yong Zhang, Dinggang Shen
2015	—	`conf`	Diffusion Compartmentalization Using Response Function Groups with Cardinality Penalization. MICCAI (1) Pew-Thian Yap, Yong Zhang, Dinggang Shen
2015	—	`conf`	Iterative Subspace Screening for Rapid Sparse Estimation of Brain Tissue Microstructural Properties. MICCAI (1) Pew-Thian Yap, Yong Zhang, Dinggang Shen
2015	J	`jnl`	Penalty decomposition methods for rank minimization. Optim. Methods Softw. Zhaosong Lu, Yong Zhang, Xiaorui Li
2015	—	`conf`	Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis. MICCAI (3) Yong Zhang, Kilian M. Pohl
2013	J	`jnl`	An Efficient Algorithm for ℓ 0 Minimization in Wavelet Frame Based Image Restoration. J. Sci. Comput. Bin Dong, Yong Zhang
2013	J	`jnl`	Sparse Approximation via Penalty Decomposition Methods. SIAM J. Optim. Zhaosong Lu, Yong Zhang
2013	J	`jnl`	ℓ Math. Comput. Yong Zhang, Bin Dong, Zhaosong Lu
2012	J	`jnl`	An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. Zhaosong Lu, Ting Kei Pong, Yong Zhang
2012	J	`jnl`	An augmented Lagrangian approach for sparse principal component analysis. Math. Program. Zhaosong Lu, Yong Zhang
2012	J	`jnl`	Sparse Approximation via Penalty Decomposition Methods CoRR Zhaosong Lu, Yong Zhang
2011	—	`conf`	Penalty Decomposition Methods for Rank Minimization. NIPS Yong Zhang, Zhaosong Lu
2011	J	`jnl`	ℓ CoRR Yong Zhang, Bin Dong, Zhaosong Lu
2009	J	`jnl`	An Augmented Lagrangian Approach for Sparse Principal Component Analysis CoRR Zhaosong Lu, Yong Zhang