Submissions from 2022
Accountable and Verifiable Secure Aggregation for Federated Learning in IoT Networks, Xiaoyi Yang, Yanqi Zhao, Qian Chen, Yong Yu, Xiaojiang Du, and Mohsen Guizani
A Novel Hybrid-ARPPO Algorithm for Dynamic Computation Offloading in Edge Computing, Xuemei Yang, Hong Luo, Yan Sun, and Mohsen Guizani
Difference Based Spatial Modulation, Yuli Yang, Mohsen Guizani, and Bingli Jiao
Learning Latent Causal Dynamics, Weiran Yao, Guangyi Chen, and Kun Zhang
Learning Temporally Causal Latent Processes from General Temporal Data, Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, and Kun Zhang
AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System, Li Yi, Haochen Hu, Jingwei Zhao, and Gus Xia
Embedded Online Machine Learning, Nikita Yudin, Dmirty Kamzolov, Vadim Sinolits, Pavel Golovkin, and Alexey Erchenko
Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions, Farkhanda Zafar, Hasan Ali Khattak, Moayad Aloqaily, and Rasheed Hussain
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
Analysis of Beyond 5G Integrated Communication and Ranging Services Under Indoor 3-D mmWave Stochastic Channels, Shah Zeb, Aamir Mahmood, Syed Ali Hassan, Mikael Gidlund, and Mohsen Guizani
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
Latent Domain Generation for Unsupervised Domain Adaptation Object Counting, Anran Zhang, Yandan Yang, Jun Xu, Xianbin Cao, Xiantong Zhen, and Ling Shao
Meta-DETR: Image-Level Few-Shot Detection with Inter-Class Correlation Exploitation, Gongjie Zhang, Zhipeng Luo, Kaiwen Cui, Shijian Lu, and Eric P. Xing
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
Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery, Hao Zhang, Shuigeng Zhou, Kun Zhang, and Jihong Guan
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients, Hualin Zhang, Huan Xiong, and Bin Gu
Space-Air-Ground Integrated Network Resource Allocation Based on Service Function Chain, Peiying Zhang, Pan Yang, Neeraj Kumar, and Mohsen Guizani
Dynamic SFC Embedding Algorithm Assisted by Federated Learning in Space-Air-Ground Integrated Network Resource Allocation Scenario, Peiying Zhang, Yi Zhang, Neeraj Kumar, and Mohsen Guizani
PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning, Rongzhi Zhang, Yue Yu, Pranav Shetty, Le Song, and Chao Zhang
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
AutoMS: Automatic Model Selection for Novelty Detection with Error Rate Control, Yifan Zhang, Haiyan Jiang, Haojie Ren, Changliang Zou, and Dejing Dou
Exploring Transformer Backbones for Heterogeneous Treatment Effect Estimation, Yi-Fan Zhang, Hanlin Zhang, Zachary C. Lipton, Li Erran Li, and Eric Xing
Can Transformers be Strong Treatment Effect Estimators?, Yi-Fan Zhang, Hanlin Zhang, Zachary Lipton, Li Erran Li, and Eric P. Xing
Information Fusion for Edge Intelligence: A Survey, Yin Zhang, Chi Jiang, Binglei Yue, Jiafu Wan, and Mohsen Guizani
Interpreting Song Lyrics With An Audio-Informed Pre-Trained Language Model, Yixiao Zhang, Junyan Jiang, Gus Xia, and Simon Dixon
Truncated Matrix Power Iteration for Differentiable DAG Learning, Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Ehsan M. Abbasnejad, Mingming Gong, Kun Zhang, and Javen Qinfeng Shi
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
Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction, Fang Zhao, Wenhao Wang, Shengcai Liao, and Ling Shao
Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention, Jingwei Zhao, Gus Xia, and Ye Wang
Domain Adversarial Training on Conditional Variational Auto-Encoder for Controllable Music Generation, Jingwei Zhao, Gus Xia, and Ye Wang
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
Proto: Program-Guided Transformer for Program-Guided Tasks, Zelin Zhao, Karan Samel, Binghong Chen, and Le Song
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
On the Identifiability of Nonlinear ICA: Sparsity and Beyond, Yujia Zheng, Ignavier Ng, and Kun Zhang
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
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
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select, Yuchen Zhuang, Yinghao Li, Jerry Junyang Cheung, Yue Yu, Yingjun Mou, Xiang Chen, Le Song, and Chao Zhang
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
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
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
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
Trustworthy Cooperative UAV-Based Data Management in Densely Crowded Environments, Moayad Aloqaily, Yaser Jararweh, and Ouns Bouachir
Guest Editorial: Empowering Sustainable Energy Infrastructures via AI-Assisted Wireless Communications, Moayad Aloqaily, Salil Kanhere, Yang Xiao, Ismaeel Al Ridhawi, and Wael Guibene
Energy-Aware Blockchain and Federated Learning-Supported Vehicular Networks, Moayad Aloqaily, Ismaeel Al Ridhawi, and Mohsen Guizani
Quasi-Newton Methods for Machine Learning: Forget the Past, Just Sample, Albert S. Berahas, Majid Jahani, Peter Richtárik, and Martin Takáč
Random-Reshuffled SARAH Does Not Need a Full Gradient Computations, Aleksandr Beznosikov and Martin Takáč
Molecule Optimization by Explainable Evolution, Binghong Chen, Tianzhe Wang, Chengtao Li, Hanjun Dai, and Le Song
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
HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning, Shiming Chen, Guo Sen Xie, Yang Liu, Qinmu Peng, Baigui Sun, Hao Li, Xinge You, and Ling Shao
Multi-Task Learning of Order-Consistent Causal Graphs, Xinshi Chen, Haoran Sun, Caleb Ellington, Eric Xing, and Le Song
Compression, Transduction, And Creation: A Unified Framework for Evaluating Natural Language Generation, Mingkai Deng, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
Hyperspherical Variational Co-embedding for Attributed Networks, Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, and Maarten De Rijke
Structure-Aware Random Fourier Kernel for Graphs, Jinyuan Fang, Qiang Zhang, Zaiqiao Meng, and Shangsong Liang
Common Language for Goal-Oriented Semantic Communications: A Curriculum Learning Framework, Mohammad Karimzadeh Farshbafan, Walid Saad, and Mérouane Debbah
Learning from Mistakes - A Framework for Neural Architecture Search, Bhanu Garg, Li Zhang, Pradyumna Sridhara, Ramtin Hosseini, Eric P. Xing, and Pengtao Xie
Scaling Up Generalized Kernel Methods, Bin Gu, Zhiyuan Dang, Zhouyuan Huo, Cheng Deng, and Heng Huang
Generalized Error Path Algorithm, Bin Gu and Charles X. Ling
Optimizing Large-Scale Hyperparameters Via Automated Learning Algorithm, Bin Gu, Guodong Liu, Yanfu Zhang, Xiang Geng, and Heng Huang
Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity, Bin Gu, Xiyuan Wei, Shangqian Gao, Ziran Xiong, and Heng Huang
Kernel Path for Ν-Support Vector Classification, Bin Gu, Ziran Xiong, Xiang Li, Zhou Zhai, and Guansheng Zheng
A Kernel Path Algorithm For General Parametric Quadratic Programming Problem, Bin Gu, Ziran Xiong, Shuyang Yu, and Guansheng Zheng
Kernel Path for nu-Support Vector Classification, Bin Gu, Ziran Xiong, Zhai Zhou, Guansheng Zheng, and Xiang Li
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning, Bin Gu, An Xu, Zhouyuan Huo, and Cheng Deng
Finding Age Path of Self-Paced Learning, Bin Gu, Zhou Zhai, Xiang Li, and Heng Huang
Text generation with efficient (Soft) Q-learning, Hanlin Guo, Bowen Tan, Zhengzhong Liu, Eric P. Xing, and Zhiting Hu
Towards Visual Question Answering on Pathology Images, Xuehai He, Zhuo Cai, Wenlan Wei, Yichen Zhang, Luntian Mou, Eric Xing, and Pengtao Xie
Large Batch Optimization for Deep Learning Using New Complete Layer-Wise Adaptive Rate Scaling, Zhouyuan Huo, Bin Gu, and Heng Huang
Panoramic learning with a standardized machine learning formalism, Zhiting Hu and Eric P. Xing
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
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
Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild, Haibo Jin, Shengcai Liao, and Ling Shao
Task-Oriented High-Order Context Graph Networks for Few-Shot Human-Object Interaction Recognition, Zhong Ji, Ping An, Xiyao Liu, Yanwei Pang, Ling Shao, and Zhongfei Zhang
NOTMAD: estimating bayesian networks with sample-specific structures and parameters, Benjamin Lengerich, Caleb Ellington, Bryon Aragam, Eric P. Xing, and Manolis Kellis
Profiling Users for Question Answering Communities via Flow-Based Constrained Co-Embedding Model, Shangsong Liang, Yupeng Luo, and Zaiqiao Meng
A Normalizing Flow-Based Co-Embedding Model for Attributed Networks, Shangsong Liang, Zhuo Ouyang, and Zaiqiao Meng
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
A Fully Single Loop Algorithm for Bilevel Optimization Without Hessian Inverse, Junyi Li, Bin Gu, and Heng Huang
Instance-Level Relative Saliency Ranking With Graph Reasoning, Nian Liu, Long Li, Wangbo Zhao, Junwei Han, and Ling Shao
Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection, Nian Liu, Ni Zhang, Ling Shao, and Junwei Han
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
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition, Yinghao Li, Pranav Shetty, Lucas Liu, Chao Zhang, and Le Song
Transfer Reinforcement Learning Aided Distributed Network Slicing Optimization in Industrial IoT, Tainle Mai, Haipeng Yao, Ni Zhang, Wenji Ha, Dong Guo, and Mohsen Guizani
AI-based Intrusion Detection for Intelligence Internet of Vehicles, Dapeng Man, Fanyi Zeng, Jiguang Lv, Shichang Xuan, Wu Yang, and Mohsen Guizani
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
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
Towards Federated Bayesian Network Structure Learning with Continuous Optimization, Ignavier Ng and Kun Zhang
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
Latent Memory-augmented Graph Transformer for Visual Storytelling, Mengshi Qi, Jie Qin, DI Huang, Zhiqiang Shen, Yi Yang, and Jiebo Luo
Cooperative multi-agent actor-critic for privacy-preserving load scheduling in a residential microgrid, Zhaoming Qin, Nanqing Dong, Eric P. Xing, and Junwei Cao
Improved Penalty Method via Doubly Stochastic Gradients for Bilevel Hyperparameter Optimization, Wanli Shi and Bin Gu
Triply Stochastic Gradient Method For Large-Scale Nonlinear Similar Unlabeled Classification, Wanli Shi, Bin Gu, Xiang Li, Cheng Deng, and Heng Huang
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods, Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou, Peter Richtárik, and Martin Takac
Computational Catalyst Discovery: Active Classification Through Myopic Multiscale Sampling, Kevin Tran, Willie Neiswanger, Kirby Broderick, Eric Xing, Jeff Schneider, and Zachary W. Ulissi
GNN is a Counter? Revisiting GNN for Question Answering, Kuan Wang, Yuyu Zhang, Dlyi Yang, Le Song, and Tao Qin
An Accelerated Variance-Reduced Conditional Gradient Sliding Algorithm For First-Order And Zeroth-Order Optimization, Xiyuan Wei, Bin Gu, and Heng Huang
Fast And Scalable Adversarial Training Of Kernel SVM Via Doubly Stochastic Gradients, Huimin Wu, Zhengmian Hu, and Bin Gu
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation, Yuxin Xiao, Eric Xing, and Williec Neiswanger
Amortized auto-tuning: Cost-efficient transfer optimization for hyperparameter recommendation, Yuxin Xiao, Eric P. Xing, and Willie Neiswanger
Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation, Guo-Sen Xie, Jie Liu, Huan Xiong, and Ling Shao
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning, Guo Sen Xie, Xu Yao Zhang, Yazhou Yao, Zheng Zhang, Fang Zhao, and Ling Shao