Experimental studies on indoor sign recognition and classification. - Zhen Ni; Siyao Fu; Bo Tang 011; Haibo He; Xinming Huang 001 (CIDM, 2014)

Hybrid classification with partial models. - Bo Tang 011; Quan Ding; Haibo He; Steven Kay (IJCNN, 2014)

A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities. - Bo Tang 011; Zhen Chen 002; Gerald Hefferman; Tao Wei 001; Haibo He; Qing Yang 001 (ASE BD&SI, 2015)

KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning. - Bo Tang 011; Haibo He (CEC, 2015)

Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities. - Jason Kane; Bo Tang 011; Zhen Chen 002; Jun Yan 007; Tao Wei 001; Haibo He; Qing Yang 001 (ICPP, 2015)

ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]. - Bo Tang 011; Haibo He (IEEE Comput. Intell. Mag., 2015)

A Parametric Classification Rule Based on the Exponentially Embedded Family. - Bo Tang 011; Haibo He; Quan Ding; Steven Kay (IEEE Trans. Neural Networks Learn. Syst., 2015)

Detection of false data injection attacks in smart grid under colored Gaussian noise. - Bo Tang 011; Jun Yan 007; Steven Kay; Haibo He (CNS, 2016)

Probabilistic human mobility model in indoor environment. - Bo Tang 011; Chao Jiang 001; Haibo He; Yi Guo 004 (IJCNN, 2016)

Detection of false data attacks in smart grid with supervised learning. - Jun Yan 007; Bo Tang 011; Haibo He (IJCNN, 2016)

A Local Density-Based Approach for Local Outlier Detection. - Bo Tang 011; Haibo He (CoRR, 2016)

FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization. - Bo Tang 011; Haibo He (CoRR, 2016)

Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise. - Bo Tang 011; Haibo He; Steven Kay (CoRR, 2016)

An Imbalanced Learning based MDR-TB Early Warning System. - Sheng Li 011; Bo Tang 011; Haibo He (J. Medical Syst., 2016)

EEF: Exponentially Embedded Families With Class-Specific Features for Classification. - Bo Tang 011; Steven Kay; Haibo He; Paul M. Baggenstoss (IEEE Signal Process. Lett., 2016)

Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments. - Bo Tang 011; Chao Jiang 001; Haibo He; Yi Guo 004 (IEEE Trans. Hum. Mach. Syst., 2016)

A Bayesian Classification Approach Using Class-Specific Features for Text Categorization. - Bo Tang 011; Haibo He; Paul M. Baggenstoss; Steven Kay (IEEE Trans. Knowl. Data Eng., 2016)

Toward Optimal Feature Selection in Naive Bayes for Text Categorization. - Bo Tang 011; Steven Kay; Haibo He (IEEE Trans. Knowl. Data Eng., 2016)

Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection. - Steven Kay; Quan Ding; Bo Tang 011; Haibo He (IEEE Trans. Signal Process., 2016)

ADL: Active dictionary learning for sparse representation. - Bo Tang 011; Jin Xu; Haibo He; Hong Man (IJCNN, 2017)

Kernel-based generative learning in distortion feature space. - Bo Tang 011; Paul M. Baggenstoss; Haibo He (SSCI, 2017)

A local density-based approach for outlier detection. - Bo Tang 011; Haibo He (Neurocomputing, 2017)

GIR-based ensemble sampling approaches for imbalanced learning. - Bo Tang 011; Haibo He (Pattern Recognit., 2017)

Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities. - Bo Tang 011; Zhen Chen 002; Gerald Hefferman; Shuyi Pei; Tao Wei 001; Haibo He; Qing Yang 001 (IEEE Trans. Ind. Informatics, 2017)

Semisupervised Feature Selection Based on Relevance and Redundancy Criteria. - Jin Xu; Bo Tang 011; Haibo He; Hong Man (IEEE Trans. Neural Networks Learn. Syst., 2017)

Multi-layer Embedding Neural Architecture with External Memory for Large-Scale Text Categorization. - Robiul Hossain Md. Rafi; Bo Tang 011; Suvash Sharma (IEEE BigData, 2018)

A learning-based cost management system for cloud computing. - Quan Ding; Bo Tang 011; Prakash Manden; Jin Ren (CCWC, 2018)

MILE: A minimally interactive learning framework for visual data analysis. - Bo Tang 011; Haibo He (CCWC, 2018)

A Generative Model for Sparse Hyperparameter Determination. - Zhiqiang Wan; Haibo He; Bo Tang 011 (IEEE Trans. Big Data, 2018)

BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition. - Xin Ning 001; Weijun Li 002; Bo Tang 011; Haibo He (IEEE Trans. Image Process., 2018)

Linear Order Statistic Neuron. - Charlie T. Veal; Alex Yang; J. Alex Hurt; Muhammad Aminul Islam; Derek T. Anderson; Grant J. Scott; James M. Keller; Timothy C. Havens; Bo Tang 011 (FUZZ-IEEE, 2019)

Attention-based Domain Adaptation for Hyperspectral Image Classification. - Robiul Hossain Md. Rafi; Bo Tang 011; Qian Du 001; Nicolas H. Younan (IGARSS, 2019)

A Refined Bilateral Filtering Algorithm Based on Adaptively-Trimmed-Statistics for Speckle Reduction in SAR Imagery. - Jiaqiu Ai; Ruiming Liu; Bo Tang 011; Lu Jia; Jinling Zhao; Fang Zhou (IEEE Access, 2019)

Parallel Motion Planning: Learning a Deep Planning Model against Emergencies. - Long Chen 005; Xuemin Hu; Bo Tang 011; Dongpu Cao (IEEE Intell. Transp. Syst. Mag., 2019)

Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. - Suvash Sharma; John E. Ball; Bo Tang 011; Daniel W. Carruth; Matthew Doude; Muhammad Aminul Islam (Sensors, 2019)

Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery. - Jiaqiu Ai; Ruitian Tian; Qiwu Luo; Jing Jin; Bo Tang 011 (IEEE Trans. Geosci. Remote. Sens., 2019)

Data-Enabled Correlation Analysis between Wildfire and Climate using GIS. - Weiwei Xie; Mingyan He; Bo Tang 011 (ICICT, 2020)

Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. - Suvash Sharma; Bo Tang 011; John E. Ball; Daniel W. Carruth; Lalitha Dabbiru (IEEE Access, 2020)

Quantitative model of irrigation effect on maize yield by deep neural network. - Babak Saravi; A. Pouyan Nejadhashemi; Bo Tang 011 (Neural Comput. Appl., 2020)

MCENN: A variant of extended nearest neighbor method for pattern recognition. - Bo Tang 011; Haibo He; Song Zhang (Pattern Recognit. Lett., 2020)

Kernel-Based Edge-Preserving Methods for Abrupt Change Detection. - Shiming Xiang; Bo Tang 011 (IEEE Signal Process. Lett., 2020)

Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification. - Robiulhossain Mdrafi; Qian Du 001; Ali Cafer Gürbüz; Bo Tang 011; Li Ma 005; Nicolas H. Younan (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Shape Estimation of Negative Obstacles for Autonomous Navigation. - Viswadeep Lebakula; Bo Tang 011; Christopher Goodin; Cindy L. Bethel (IROS, 2021)

Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (CoRR, 2021)

Learning by Active Forgetting for Neural Networks. - Jian Peng 009; Xian Sun; Min Deng; Chao Tao 001; Bo Tang 011; Wenbo Li 004; Guohua Wu 001; Qing Zhu; Yu Liu 003; Tao Lin 008; Haifeng Li 007 (CoRR, 2021)

Reviewing continual learning from the perspective of human-level intelligence. - Yifan Chang; Wenbo Li 004; Jian Peng 009; Bo Tang 011; Yu Kang 001; Yinjie Lei; Yuanmiao Gui; Qing Zhu; Yu Liu 003; Haifeng Li 007 (CoRR, 2021)

Overcome Anterograde Forgetting with Cycled Memory Networks. - Jian Peng 009; Dingqi Ye; Bo Tang 011; Yinjie Lei; Yu Liu 003; Haifeng Li 007 (CoRR, 2021)

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (CoRR, 2021)

Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery. - Qian Du 001; Bo Tang 011; Weiying Xie; Wei Li 032 (Proc. IEEE, 2021)

Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. - Xuemin Hu; Bo Tang 011; Long Chen 005; Sheng Song; Xiuchi Tong (IEEE Trans. Intell. Transp. Syst., 2021)

Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features. - Qian Gao; Zhifang Yang; Juan Yu; Wei Dai; Xingyu Lei; Bo Tang 011; Kaigui Xie; Wenyuan Li 003 (IEEE Trans. Neural Networks Learn. Syst., 2021)

CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers. - Shiming Xiang; Bo Tang 011 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Generalized Federated Learning via Sharpness Aware Minimization. - Zhe Qu; Xingyu Li; Rui Duan; Yao Liu 007; Bo Tang 011; Zhuo Lu (ICML, 2022)

Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (ICMLA, 2022)

Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning. - Bo Tang 011; Weiwei Xie; Qingmin Meng; Robert J. Moorhead; Gary Feng (ICMLA, 2022)

CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. - Suvash Sharma; Lalitha Dabbiru; Tyler Hannis; George Mason; Daniel W. Carruth; Matthew Doude; Christopher Goodin; Christopher R. Hudson; Sam Ozier; John E. Ball; Bo Tang 011 (IEEE Access, 2022)

Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. - Long Chen 005; Xuemin Hu; Bo Tang 011; Yu Cheng (IEEE Trans. Intell. Transp. Syst., 2022)

Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. - Jian Peng 009; Bo Tang 011; Hao Jiang 020; Zhuo Li; Yinjie Lei; Tao Lin 008; Haifeng Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Modeling multi-scale sub-group context for group activity recognition. - Keming Mao; Peiyang Jin; Yi Ping; Bo Tang 011 (Appl. Intell., 2023)

Sim2real and Digital Twins in Autonomous Driving: A Survey. - Xuemin Hu; Shen Li; Tingyu Huang; Bo Tang 011; Long Chen 005 (CoRR, 2023)

G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima. - Xingyu Li; Bo Tang 011 (CoRR, 2023)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. - Xun Liang 001; Shichao Song; Simin Niu; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Zhaohui Wy; Dawei He; Peng Cheng; Zhonghao Wang; Haiying Deng (CoRR, 2023)

LoMar: A Local Defense Against Poisoning Attack on Federated Learning. - Xingyu Li; Zhe Qu; Shangqing Zhao; Bo Tang 011; Zhuo Lu; Yao Liu 007 (IEEE Trans. Dependable Secur. Comput., 2023)

AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. - Bo Tang 011; Vijay K. Shah; Vuk Marojevic; Jeffrey H. Reed (IEEE Wirel. Commun., 2023)

Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. - Xuemin Hu; Yanfang Liu; Bo Tang 011; Junchi Yan; Long Chen 005 (IEEE Trans. Intell. Transp. Syst., 2023)

On the Convergence of Multi-Server Federated Learning With Overlapping Area. - Zhe Qu; Xingyu Li; Jie Xu 001; Bo Tang 011; Zhuo Lu; Yao Liu 007 (IEEE Trans. Mob. Comput., 2023)

NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism. - Miao Li; Ming-Bin Chen; Bo Tang 011; ShengbinHou ShengbinHou; Pengyu Wang; Haiying Deng; Zhiyu Li; Feiyu Xiong; Keming Mao; Cheng Peng; Yi Luo (ACL (1), 2024)

UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. - Xun Liang 001; Shichao Song; Simin Niu; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Yezhaohui Wang; Dawei He; Cheng Peng; Zhonghao Wang; Haiying Deng (ACL (1), 2024)

Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. - Xun Liang 001; Hanyu Wang; Shichao Song; Mengting Hu; Xunzhi Wang; Zhiyu Li; Feiyu Xiong; Bo Tang 011 (ACL (Findings), 2024)

RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN. - Seyed Bagher Hashemi Natanzi; Bo Tang 011 (VTC Fall, 2024)

Grimoire is All You Need for Enhancing Large Language Models. - Ding Chen; Shichao Song; Qingchen Yu; Zhiyu Li; Wenjin Wang 003; Feiyu Xiong; Bo Tang 011 (CoRR, 2024)

NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications. - Miao Li; Ming-Bin Chen; Bo Tang 011; Shengbin Hou; Pengyu Wang; Haiying Deng; Zhiyu Li; Feiyu Xiong; Keming Mao; Peng Cheng; Yi Luo (CoRR, 2024)

Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. - Xuemin Hu; Pan Chen; Yijun Wen; Bo Tang 011; Long Chen 005 (CoRR, 2024)

MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning. - Xingyu Li; Bo Tang 011 (CoRR, 2024)

xFinder: Robust and Pinpoint Answer Extraction for Large Language Models. - Qingchen Yu; Zifan Zheng; Shichao Song; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Ding Chen (CoRR, 2024)

Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning. - Xiang Liang; Simin Niu; Zhiyu Li; Sensen Zhang; Shichao Song; Hanyu Wang; Jiawei Yang; Feiyu Xiong; Bo Tang 011; Chenyang Xi (CoRR, 2024)

DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. - Xuemin Hu; Shen Li; Yingfen Xu; Bo Tang 011; Long Chen 005 (CoRR, 2024)

Memory3: Language Modeling with Explicit Memory. - Hongkang Yang; Zehao Lin; Wenjin Wang 003; Hao Wu 022; Zhiyu Li; Bo Tang 011; Wenqiang Wei; Jinbo Wang 003; Zeyun Tang; Shichao Song; Chenyang Xi; Yu Yu; et al. (CoRR, 2024)

Attention Heads of Large Language Models: A Survey. - Zifan Zheng; Yezhaohui Wang; Yuxin Huang; Shichao Song; Mingchuan Yang; Bo Tang 011; Feiyu Xiong; Zhiyu Li (CoRR, 2024)

FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. - Xingyu Li; Zhe Qu; Bo Tang 011; Zhuo Lu (IEEE Trans. Cybern., 2024)

How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. - Xuemin Hu; Shen Li; Tingyu Huang; Bo Tang 011; Rouxing Huai; Long Chen 005 (IEEE Trans. Intell. Veh., 2024)

AdaER: An adaptive experience replay approach for continual lifelong learning. - Xingyu Li; Bo Tang 011; Haifeng Li 007 (Neurocomputing, 2024)

Lifelong Learning With Cycle Memory Networks. - Jian Peng 009; Dingqi Ye; Bo Tang 011; Yinjie Lei; Yu Liu 003; Haifeng Li 007 (IEEE Trans. Neural Networks Learn. Syst., 2024)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. - Xun Liang 001; Simin Niu; Zhiyu Li; Sensen Zhang; Hanyu Wang; Feiyu Xiong; Jason Zhaoxin Fan; Bo Tang 011; Jihao Zhao; Jiawei Yang; Shichao Song; Mengwei Wang (ACL (1), 2025)

Adversarial Preference Learning for Robust LLM Alignment. - Yuanfu Wang; Pengyu Wang; Chenyang Xi; Bo Tang 011; Junyi Zhu 015; Wenqiang Wei; Chen Chen; Chao Yang; Jingfeng Zhang; Chaochao Lu; Yijun Niu; Keming Mao; et al. (ACL (Findings), 2025)

Retrieval-Augmented Multilingual Citation Generation. - Xun Liang 001; Simin Niu; Sensen Zhang; Zhiyu Li; Xuan Zhang 009; Bo Wu 026; Feiyu Xiong; Bo Tang 011; Hanyu Wang; Shichao Song; Mengwei Wang; Jiawei Yang (ICASSP, 2025)

xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation. - Qingchen Yu; Zifan Zheng; Shichao Song; Zhiyu Li; Feiyu Xiong; Bo Tang 011; Ding Chen (ICLR, 2025)

Attention heads of large language models. - Zifan Zheng; Yezhaohui Wang; Yuxin Huang; Shichao Song; Mingchuan Yang; Bo Tang 011; Feiyu Xiong; Zhiyu Li (Patterns, 2025)

A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function. - Steven Kay; Kaushallya Adhikari; Bo Tang 011 (IEEE Trans. Signal Process., 2025)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. - Xun Liang 001; Simin Niu; Zhiyu Li; Sensen Zhang; Hanyu Wang; Feiyu Xiong; Jason Zhaoxin Fan; Bo Tang 011; Shichao Song; Mengwei Wang; Jiawei Yang (CoRR, 2025)

O-RAN Performance Analyzer: Platform Design, Development, and Deployment. - Mohammadreza Kouchaki; Seyed Bagher Hashemi Natanzi; Minglong Zhang; Bo Tang 011; Vuk Marojevic (IEEE Commun. Mag., 2025)

SurveyX: Academic Survey Automation via Large Language Models. - Xun Liang 001; Jiawei Yang; Yezhaohui Wang; Chen Tang; Zifan Zheng; Shichao Song; Zehao Lin; Yebin Yang; Simin Niu; Hanyu Wang; Bo Tang 011; Feiyu Xiong; et al. (CoRR, 2025)

SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models. - Xun Liang 001; Hanyu Wang; Huayi Lai; Simin Niu; Shichao Song; Jiawei Yang; Jihao Zhao; Feiyu Xiong; Bo Tang 011; Zhiyu Li (CoRR, 2025)

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models. - Yuanjie Lyu; Zhiyu Li; Simin Niu; Feiyu Xiong; Bo Tang 011; Wenjin Wang 003; Hao Wu 022; Huanyong Liu; Tong Xu 001; Enhong Chen (ACM Trans. Inf. Syst., 2025)

Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach. - Olivia Holguin; Rachel Donati; Seyed Bagher Hashemi Natanzi; Bo Tang 011 (CoRR, 2025)

MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models. - Zhiyu Li; Shichao Song; Hanyu Wang; Simin Niu; Ding Chen; Jiawei Yang; Chenyang Xi; Huayi Lai; Jihao Zhao; Yezhaohui Wang; Junpeng Ren; Zehao Lin; et al. (CoRR, 2025)

MemOS: A Memory OS for AI System. - Zhiyu Li; Shichao Song; Chenyang Xi; Hanyu Wang; Chen Tang; Simin Niu; Ding Chen; Jiawei Yang; Chunyu Li; Qingchen Yu; Jihao Zhao; Yezhaohui Wang; et al. (CoRR, 2025)

G-Mix: A Generalized Mixup Learning Framework Toward Flat Minima. - Xingyu Li; Bo Tang 011 (IEEE Trans. Artif. Intell., 2025)