Submissions from 2022
A Fast Knowledge Distillation Framework for Visual Recognition, Zhiqiang Shen and Eric Xing
Gradient-Free Method for Heavily Constrained Nonconvex Optimization, Wanli Shi, Hongchang Gao, and Bin Gu
Machine learning security attacks and defense approaches for emerging cyber physical applications: A comprehensive survey, Jaskaran Singh, Mohammad Wazid, Ashok Kumar Das, Vinay Chamola, and Mohsen Guizani
QoS Aware Uplink Scheduling for M2M Communication in LTE/LTE-A Network: A Game Theoretic Approach, Upendra Singh, Amit Dua, Neeraj Kumar, and Mohsen Guizani
SD-AETO: Service Deployment Enabled Adaptive Edge Task Offloading in MEC, Liangjun Song, Gang Sun, Hongfang Yu, and Mohsen Guizani
Rare Gems: Finding Lottery Tickets at Initialization, Kartik Sreenivasan, Jy Yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric Xing, Kangwook Lee, and Dimitris Papailiopoulos
On PAC Learning Halfspaces in Non-interactive Local Privacy Model with Public Unlabeled Data, Jinyan Su, Jinhui Xu, and Di Wang
Digital Twin-enabled IoMT System for Surgical Simulation using rAC-GAN, Yonghang Tai, Liqiang Zhang, Qiong Li, Chunsheng Zhu, Victor Chang, Joel J. P. C. Rodrigues, and Mohsen Guizani
SDN Assisted Mobile Edge Computing for Collaborative Computation Offloading in Industrial Internet of Things, Chaogang Tang, Chunsheng Zhu, Ning Zhang, Mohsen Guizani, and Joel J. P. C. Rodrigues
Intelligent Edge-Aided Network Slicing for 5G and Beyond Networks, Jianhang Tang, Jiangtian Nie, Wei Yang Bryan Lim, Yang Zhang, Zehui Xiong, Dusit Niyato, and Mohsen Guizani
Slicing-Based Software-Defined Mobile Edge Computing in the Air, Jianhang Tang, Jiangtian Nie, Jun Zhao, Yi Zhou, Zehui Xiong, and Mohsen Guizani
What-Is and How-To for Fairness in Machine Learning: A Survey, Reflection, and Perspective, Zeyu Tang, Jiji Zhang, and Kun Zhang
Attainability and Optimality: The Equalized Odds Fairness Revisited, Zeyu Tang and Kun Zhang
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
Network Intrusion Detection for Smart Infrastructure using Multi-Armed Bandit based Reinforcement Learning in Adversarial Environment, Zain Ul Abideen Tariq, Emna Baccour, Aiman Erbad, Mohsen Guizani, and Mounir Hamdi
Conditional Contrastive Learning with Kernel, Yao Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis Philippe Morency, and Ruslan Salakhutdinov
Optimal Transport for Causal Discovery, Ruibo Tu, Kun Zhang, Hedvig Kjellström, and Cheng Zhang
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
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
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
Toward Learning Robust and Invariant Representations with Alignment Regularization and Data Augmentation, Haohan Wang, Zeyi Huang, Xindi Wu, and Eric P. Xing
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features, Haohan Wang, Zeyi Huang, Hanlin Zhang, Yong Jae Lee, and Eric P. Xing
Kernel Mixed Model for Transcriptome Association Study, Haohan Wang, Oscar Lopez, Eric P. Xing, and Wei Wu
Attentive WaveBlock: Complementarity-Enhanced Mutual Networks for Unsupervised Domain Adaptation in Person Re-Identification and beyond, Wenhao Wang, Fang Zhao, Shengcai Liao, and Ling Shao
Casual Balancing for Domain Generalization, Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, and William Yang Wang
Iteratively Weighted MMSE Uplink Precoding for Cell-Free Massive MIMO, Zhe Wang, Jiayi Zhang, Hien Quoc Ngo, Bo Ai, and Méroúane Debbah
AISCM-FH: AI-Enabled Secure Communication Mechanism in Fog Computing-Based Healthcare, Mohammad Wazid, Ashok Kumar Das, Sachin Shetty, Joel J.P.C. Rodrigues, and Mohsen Guizani
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
Meta-Learning Helps Personalized Product Search, Bin Wu, Zaiqiao Meng, Qiang Zhang, and Shangsong Liang
Graph Neural Networks, Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, and Le Song
Reliable Broadcast in Critical Applications: Asset Transfer and Smart Home, Yingjian Wu, Yicheng Shen, Haochen Pan, Lewis Tseng, and Moayad Aloqaily
Learning to Co-Embed Queries and Documents, Yuehong Wu, Bowen Lu, Lin Tian, and Shangsong Liang
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models, Jiannan Xiang, Zhengzhong Liu, Yucheng Zhou, Eric P. Xing, and Zhiting Hu
Testability of Instrumental Variables in Linear non-Gaussian Acyclic Causal Models, Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, and Kun Zhang
Identification of Linear Non-Gaussian Latent Hierarchical Structure, Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, and Kun Zhang
Unpaired Image-to-Image Translation with Density Changing Regularization, Shaoan Xie, Qirong Ho, and Kun Zhang
A Generalized Method for Binary Optimization: Convergence Analysis and Applications, Huan Xiong, Mengyang Yu, Li Liu, Fan Zhu, Jie Qin, Fumin Shen, and Ling Shao
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
Kernel Error Path Algorithm, Ziran Xiong, Charles X. Ling, and Bin Gu
End-to-End Semi-Supervised Ordinal Regression AUC Maximization with Convolutional Kernel Networks, Ziran Xiong, Wanli Shi, and Bin Gu
Accurate and Efficient Performance Prediction for Mobile IoV Networks Using GWO-GR Neural Network, Lingwei Xu, Xinpeng Zhou, Yong Fu, Guanwu Jiang, Xu Yu, Miao Yu, Neeraj Kumar, and Mohsen Guizani
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
Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation, Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, and Kayhan Batmanghelich
On Minimizing TCP Retransmission Delay in Softwarized Networks, Haythem Yahyaoui, Melek Majdoub, Mohamed Faten Zhani, and Moayad Aloqaily
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
Molecule Generation for Drug Design: A Graph Learning Perspective, Nian Zu Yang, Huaijin Wu, Junchi Yan, Xiaoyong Pan, Ye Yuan, and Le Song
A Practical Cross-Device Federated Learning Framework over 5G Networks, Wenti Yang, Naiyu Wang, Zhitao Guan, Longfei Wu, Xiaojiang Du, and Mohsen Guizani
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
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