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Submissions from 2022

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What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, and Kun Zhang

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Attainability and Optimality: The Equalized Odds Fairness Revisited, Zeyu Tang and Kun Zhang

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Multi-Carrier DCSK With Hybrid Index Modulation: A New Perspective on Frequency-Index-Aided Chaotic Communication, Yiwei Tao, Yi Fang, Huan Ma, Shahid Mumtaz, and Mohsen Guizani

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Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, and Cheng Zhang

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Resource Management for Edge Intelligence (EI)-Assisted IoV Using Quantum-Inspired Reinforcement Learning, Dan Wang, Bin Song, Peng Lin, Richard F. Yu, Xiaojiang Du, and Mohsen Guizani

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Hybrid Optical-Electrical Data Center Networking: Challenges and Solutions for Bandwidth Resource Optimization, Fu Wang, Haipeng Yao, Jingjing Wang, Tianle Mai, Xiangjun Xin, and Mohsen Guizani

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A Multi-Channel Interference Based Source Location Privacy Protection Scheme in Underwater Acoustic Sensor Networks, Hao Wang, Guangjie Han, Yun Hou, Mohsen Guizani, and Yan Peng

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Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO, Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, and Méroúane Debbah

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Privacy-Preserving Continuous Authentication for Mobile and IoT Systems Using Warmup-Based Federated Learning, Mohamad Wazzeh, Hakima Ould-Slimane, Chamseddine Talhi, Azzam Mourad, and Mohsen Guizani

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Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, and Shangsong Liang

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Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, and Kun Zhang

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Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites, Zhiyong Xiong, Zhaoxiong Yan, Huanan Yao, and Shangsong Liang

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Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, and Bin Gu

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End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks, Ziran Xiong, Wanli Shi, and Bin Gu

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Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing, Wei Xu, Zhaohui Yang, Derrick Wing Kwan Ng, Marco Levorato, Yonina C. Eldar, and Mérouane Debbah

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An Improved Federated Learning Algorithm for Privacy-Preserving in Cybertwin-Driven 6G System, Miao Yang, Ximin Wang, Hua Qian, Yongxin Zhu, Hongbin Zhu, Mohsen Guizani, and Victor Chang

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Molecule Generation for Drug Design: A Graph Learning Perspective, Nian Zu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, and Le Song

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A Novel Hybrid-ARPPO Algorithm for Dynamic Computation Offloading in Edge Computing, Xuemei Yang, Hong Luo, Yan Sun, and Mohsen Guizani

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Difference Based Spatial Modulation, Yuli Yang, Mohsen Guizani, and Bingli Jiao

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Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, and Kun Zhang

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Guest Editorial: Non-Euclidean Machine Learning, Stefanos Zafeiriou, Michael Bronstein, Taco Cohen, Oriol Vinyals, Le Song, Jure Leskovec, Pietro Lio, Joan Bruna, and Marco Gori

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Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey, Shah Zeb, Aamir Mahmood, Syed Ali Hassan, MD. Jalil Piran, Mikael Gidlund, and Mohsen Guizani

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Semantic-Aligned Matching for Enhanced DETR Convergence and Multi-Scale Feature Fusion, Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Jiaxing Huang, Kaiwen Cui, Shijian Lu, and Eric Xing

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Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain, Peiying Zhang, Pan Yang, Neeraj Kumar, and Mohsen Guizani

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PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning, Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, and Chao Zhang

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Blockchain and Federated Deep Reinforcement Learning Based Secure Cloud-Edge-End Collaboration in Power IoT, Sunxuan Zhang, Zhao Wang, Zhenyu Zhou, Yang Wang, Hui Zhang, Geng Zhang, Huixia Ding, Shahid Mumtaz, and Mohsen Guizani

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Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, and Eric Xing

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Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, and Eric P. Xing

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Information Fusion for Edge Intelligence: A Survey, Yin Zhang, Chi Jiang, Binglei Yue, Jiafu Wan, and Mohsen Guizani

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STG2P: A two-stage pipeline model for intrusion detection based on improved LightGBM and K-means, Zhiqiang Zhang, Le Wang, Guangyao Chen, Zhaoquan Gu, Zhihong Tian, Xiaojiang Du, and Mohsen Guizani

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ELITE: An Intelligent Digital Twin-based Hierarchical Routing Scheme for Softwarized Vehicular Networks, Liang Zhao, Zhenguo Bi, Ammar Hawbani, Keping Yu, Yan Zhang, and Mohsen Guizani

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Proto: Program-Guided Transformer for Program-Guided Tasks, Zelin Zhao, Karan Samel, Binghong Chen, and Le Song

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Exploring Deep Reinforcement Learning-Assisted Federated Learning for Online Resource Allocation in Privacy-Preserving EdgeIoT, Jingjing Zheng, Kai Li, Naram Mhaisen, Wei Ni, Eduardo Tovar, and Mohsen Guizani

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On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, and Kun Zhang

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Collaborative Learning-based Network Resource Scheduling and Route Management for Multi-Mode Green IoT, Zhenyu Zhou, Xinyi Chen, Haijun Liao, Zhong Gan, Fei Xiao, Qi Tu, Wenwen Sun, Yun Liu, Shahid Mumtaz, and Mohsen Guizani

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Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids, Zhenyu Zhou, Zehan Jia, Haijun Liao, Wenbing Lu, Shahid Mumtaz, Mohsen Guizani, and Muhammad Tariq

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Disease Prediction in Edge Computing: A Privacy-Preserving Technique for PHI Collection and Analysis, Liehuang Zhu, Chuan Zhang, Chang Xu, Wei Wang, Xiaojiang Du, Mohsen Guizani, and Kashif Sharif

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Multi-agent Reinforcement Learning Aided Service Function Chain Deployment for Internet of Things, Yuchao Zhu, Haipeng Yao, Tianle Mai, Wenji He, Ni Zhang, and Mohsen Guizani

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Offline Reinforcement Learning with Causal Structured World Models, Zheng-Mao Zhu, Xiong-Hui Chen, Hong-Long Tian, Kun Zhang, and Yang Yu

Submissions from 2021

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UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion Model with Ensemble Monte Carlo Dropout for COVID-19 Detection, Moloud Abdar, Soorena Salari, Sina Qahremani, Hak-Keung Lam, Fakhreddine (Fakhri) Karray, Sadiq Hussain, Abbas Khosravi, U. Rajendra Acharya, Vladimir Makarenkov, and Saeid Nahavandi

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Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, and Martin Takáč

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Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov and Martin Takáč

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GeoQA: A Geometric Question Answering Benchmark Towards Multimodal Numerical Reasoning, Jiaqi Chen, Jianheng Tang, Jinghui Qin, Xiaodan Liang, Lingbo Liu, Eric P. Xing, and Liang Lin

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Multi-Task Learning of Order-Consistent Causal Graphs, Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, and Le Song

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Compression, Transduction, And Creation: A Unified Framework for Evaluating Natural Language Generation, Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu

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Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, and Maarten De Rijke

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Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, and Shangsong Liang

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Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah

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Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, and Pengtao Xie

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Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, and Heng Huang

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Generalized Error Path Algorithm, Bin Gu and Charles X. Ling

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Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, and Heng Huang

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Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, and Heng Huang

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Kernel Path for Ν-Support Vector Classification, Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, and Guansheng Zheng

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A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, and Guansheng Zheng

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Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, and Xiang Li

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Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, and Cheng Deng

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Finding Age Path of Self-Paced Learning, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang

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Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu

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Towards Visual Question Answering on Pathology Images, Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie

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Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, and Heng Huang

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Panoramic learning with a standardized machine learning formalism, Zhiting Hu and Eric P. Xing

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The Duo of Artificial Intelligence and Big Data for Industry 4.0: Applications, Techniques, Challenges, and Future Research Directions, Senthil Kumar Jagatheesaperumal, Mohamed Rahouti, Kashif Ahmad, Ala Al-Fuqaha, and Mohsen Guizani

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Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information, Majid Jahani, Sergey Rusakov, Zheng Shi, Peter Richtárik, Michael W. Mahoney, and Martin Takáč

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NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, and Manolis Kellis

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Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, and Zaiqiao Meng

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Explainable Intelligence-Driven Defense Mechanism Against Advanced Persistent Threats: A Joint Edge Game and AI Approach, Huiling Li, Jun Wu, Hansong Xu, Gaolei Li, and Mohsen Guizani

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A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse, Junyi Li, Bin Gu, and Heng Huang

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Nonuniform-to-uniform quantization: Towards accurate quantization via generalized straight-through estimation, Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, and Zhiqiang Shen

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Data-free neural architecture search via recursive label calibration, Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, and Chas Leichner

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BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition, Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, and Le Song

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Transfer Reinforcement Learning Aided Distributed Network Slicing Optimization in Industrial IoT, Tainle Mai, Haipeng Yao, Ni Zhang, Wenji Ha, Dong Guo, and Mohsen Guizani

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A Comprehensive Survey on Multimodal Medical Signals Fusion for Smart Healthcare Systems, Ghulam Muhammad, Fatima Alshehri, Fakhri Karray, Abdulmotaleb El Saddik, Mansour Alsulaiman, and Tiago H. Falk

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Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data, Dong Nanqing, Michael C. Kampffmeyer, Xiaodon Liang, Min Xu, Irina D. Voiculescu, and Eric Xing

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Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng and Kun Zhang

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Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning, Aurick Qiao, Sang Keun Choe, Suhas Jayaram Subramanya, Willie Neiswanger, Qirong Ho, Hao Zhang, Gregory R. Ganger, and Eric P. Xing

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Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, and Junwei Cao

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Sliced Recursive Transformer, Zhiqiang Shen, Zechun Liu, and Eric Xing

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A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen and Eric Xing

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Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi and Bin Gu

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Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, and Heng Huang

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AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods, Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, and Martin Takac

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Computational Catalyst Discovery: Active Classification Through Myopic Multiscale Sampling, Kevin Tran, Willie Neiswanger, Kirby Broderick, Eric Xing, Jeff Schneider, and Zachary W. Ulissi

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GNN is a Counter? Revisiting GNN for Question Answering, Kuan Wang, Yuyu Zhang, Dlyi Yang, Le Song, and Tao Qin

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An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm For First-Order And Zeroth-Order Optimization, Xiyuan Wei, Bin Gu, and Heng Huang

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Fast And Scalable Adversarial Training Of Kernel SVM Via Doubly Stochastic Gradients, Huimin Wu, Zhengmian Hu, and Bin Gu

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Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, and Williec Neiswanger

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Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, and Willie Neiswanger

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Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation, Guo-Sen Xie, Jie Liu, Huan Xiong, and Ling Shao

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Locality Sensitive Teaching, Zhaozhuo Xu, Beidi Chen, Chaojian Li, Weiyang Liu, Le Song, Yingyan Lin, and Anshumali Shrivastava

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Knowledge-Aware Meta-Learning for Low-Resource Text Classification, Huaxiu Yao, Yingxin Wu, Maruan Al-Shedivat, and Eric P. Xing

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Improving Text-To-Image Synthesis Using Contrastive Learning, Hui Ye, Xiulong Yang, Martin Takáč, Raj Sunderraman, and Shihao Ji

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Roma: Robust Model Adaptation for Offline Model-Based Optimization, Sihyun Yu, Sung-soo Ahn, Le Song, and Jinwoo Shin

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Learning Sampling Policy for Faster Derivative Free Optimization, Zhou Zhai, Bin Gu, and Heng Huang

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Towards Principled Disentanglement for Domain Generalization, Hanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, and Eric P. Xing

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Variational Continual Bayesian Meta-Learning, Qiang Zhang, Jinyuan Fang, Zaiqiao Meng, Shangsong Liang, and Emine Yilmaz

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A Biased Graph Neural Network Sampler with Near-Optimal Regret, Qingru Zhang, David Wipf, Quan Gan, and Le Song

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Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm, Qingsong Zhang, Bin Gu, Zhiyuan Dang, and Cheng Deng

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AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization, Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, and Heng Huang

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Secure Bilevel Asynchronous Vertical Federated Learning With Backward Updating, Qingsong Zhang, Bin Gu, Cheng Deng, and Heng Huang