Bo Tang - RankMe

132 papers A* 4A 1B 7C 4Misc 1Journal 97Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI-Driven Fuzzing for Vulnerability Assessment of 5G Traffic Steering Algorithms. CoRR Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Bo Tang, Vuk Marojevic
2026	—	`conf`	Adaptive Beamforming for Interference-Limited MU-MIMO using Spatio-Temporal Policy Networks. CCNC Hossein Mohammadi, Seyed Bagher Hashemi Natanzi, Ramak Nassiri, Bo Tang, Vuk Marojevic
2026	J	`jnl`	Efficient Anti-exploration via VQVAE and Fuzzy Clustering in Offline Reinforcement Learning. CoRR Long Chen, Yinkui Liu, Shen Li, Bo Tang, Xuemin Hu
2026	A*	`conf`	Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning. AAAI Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen
2026	J	`jnl`	FairShare: Auditable Geographic Fairness for Multi-Operator LEO Spectrum Sharing. CoRR Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Vuk Marojevic, Bo Tang
2026	J	`jnl`	Inside Out: Evolving User-Centric Core Memory Trees for Long-Term Personalized Dialogue Systems. CoRR Jihao Zhao, Ding Chen, Zhaoxin Fan, Kerun Xu, Mengting Hu, Bo Tang, Feiyu Xiong, Zhiyu Li
2026	J	`jnl`	Local-CGFC: A Local Cumulant Generating Function Classification Rule. IEEE Signal Process. Lett. Bo Tang, Steven Kay, Kaushallya Adhikari
2026	J	`jnl`	Long- and Short-Term Constraint-Driven Safe Reinforcement Learning for Autonomous Driving. IEEE Trans. Syst. Man Cybern. Syst. Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen
2026	J	`jnl`	MemRL: Self-Evolving Agents via Runtime Reinforcement Learning on Episodic Memory. CoRR Shengtao Zhang, Jiaqian Wang, Ruiwen Zhou, Junwei Liao, Yuchen Feng, Weinan Zhang, Ying Wen, Zhiyu Li, Feiyu Xiong, Yutao Qi, Bo Tang, Muning Wen
2026	—	`conf`	Secure mmWave Beamforming with Proactive-ISAC Defense Against Beam-Stealing Attacks. CCNC Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Bo Tang, Vuk Marojevic
2026	J	`jnl`	SliceFed: Federated Constrained Multi-Agent DRL for Dynamic Spectrum Slicing in 6G. CoRR Hossein Mohammadi, Seyed Bagher Hashemi Natanzi, Ramak Nassiri, Jamshid Hassanpour, Bo Tang, Vuk Marojevic
2026	A*	`conf`	TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction. AAAI Jie Zhang, Bo Tang, Wanzi Shao, Wenqiang Wei, Jihao Zhao, Jianqing Zhu, Zhiyu Li, Wen Xi, Zehao Lin, Feiyu Xiong, Yanchao Tan
2026	J	`jnl`	Towards Cold-Start Drafting and Continual Refining: A Value-Driven Memory Approach with Application to NPU Kernel Synthesis. CoRR Yujie Zheng, Zhuo Li, Shengtao Zhang, Hanjing Wang, Junjie Sheng, Jiaqian Wang, Junchi Yan, Weinan Zhang, Ying Wen, Bo Tang, Muning Wen
2025	—	`conf`	A MUSIC-Based Adaptive Beamforming Approach for Mobile Jamming Mitigation in 5G Networks. MILCOM Olivia Holguin, Rachel Donati, Seyed Bagher Hashemi Natanzi, Bo Tang
2025	J	`jnl`	A Nonparametric Data-Driven Classifier Based on the Cumulant Generating Function. IEEE Trans. Signal Process. Steven Kay, Kaushallya Adhikari, Bo Tang
2025	—	`conf`	Adversarial Preference Learning for Robust LLM Alignment. ACL (Findings) Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	J	`jnl`	Adversarial Preference Learning for Robust LLM Alignment. CoRR Yuanfu Wang, Pengyu Wang, Chenyang Xi, Bo Tang, Junyi Zhu, Wenqiang Wei, Chen Chen, Chao Yang, Jingfeng Zhang, Chaochao Lu, Yijun Niu, Keming Mao, Zhiyu Li, Feiyu Xiong, Jie Hu, Mingchuan Yang
2025	J	`jnl`	Attention heads of large language models. Patterns Zifan Zheng, Yezhaohui Wang, Yuxin Huang, Shichao Song, Mingchuan Yang, Bo Tang, Feiyu Xiong, Zhiyu Li
2025	—	`conf`	Effect of the Mollifying Factor on the Cumulant Generating Function Classifier. ICECET Kaan Icer, Steven Kay, Kaushallya Adhikari, Bo Tang
2025	J	`jnl`	G-Mix: A Generalized Mixup Learning Framework Toward Flat Minima. IEEE Trans. Artif. Intell. Xingyu Li, Bo Tang
2025	—	`conf`	GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning. ACL (1) Qingchen Yu, Zifan Zheng, Ding Chen, Simin Niu, Bo Tang, Feiyu Xiong, Zhiyu Li
2025	J	`jnl`	GuessArena: Guess Who I Am? A Self-Adaptive Framework for Evaluating LLMs in Domain-Specific Knowledge and Reasoning. CoRR Qingchen Yu, Zifan Zheng, Ding Chen, Simin Niu, Bo Tang, Feiyu Xiong, Zhiyu Li
2025	J	`jnl`	HaluMem: Evaluating Hallucinations in Memory Systems of Agents. CoRR Ding Chen, Simin Niu, Kehang Li, Peng Liu, Xiangping Zheng, Bo Tang, Xinchi Li, Feiyu Xiong, Zhiyu Li
2025	J	`jnl`	MemOS: A Memory OS for AI System. CoRR Zhiyu Li, Shichao Song, Chenyang Xi, Hanyu Wang, Chen Tang, Simin Niu, Ding Chen, Jiawei Yang, Chunyu Li, Qingchen Yu, Jihao Zhao, Yezhaohui Wang, Peng Liu, Zehao Lin, Pengyuan Wang, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhen Tao, Junpeng Ren, Huayi Lai, Hao Wu, Bo Tang, Zhenren Wang, Zhaoxin Fan, Ningyu Zhang, Linfeng Zhang, Junchi Yan, Mingchuan Yang, Tong Xu, Wei Xu, Huajun Chen, Haofeng Wang, Hongkang Yang, Wentao Zhang, Zhi-Qin John Xu, Siheng Chen, Feiyu Xiong
2025	J	`jnl`	MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models. CoRR Zhiyu Li, Shichao Song, Hanyu Wang, Simin Niu, Ding Chen, Jiawei Yang, Chenyang Xi, Huayi Lai, Jihao Zhao, Yezhaohui Wang, Junpeng Ren, Zehao Lin, Jiahao Huo, Tianyi Chen, Kai Chen, Kehang Li, Zhiqiang Yin, Qingchen Yu, Bo Tang, Hongkang Yang, Zhi-Qin John Xu, Feiyu Xiong
2025	J	`jnl`	Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach. CoRR Olivia Holguin, Rachel Donati, Seyed Bagher Hashemi Natanzi, Bo Tang
2025	J	`jnl`	O-RAN Performance Analyzer: Platform Design, Development, and Deployment. IEEE Commun. Mag. Mohammadreza Kouchaki, Seyed Bagher Hashemi Natanzi, Minglong Zhang, Bo Tang, Vuk Marojevic
2025	Misc	`conf`	Retrieval-Augmented Multilingual Citation Generation. ICASSP Xun Liang, Simin Niu, Sensen Zhang, Zhiyu Li, Xuan Zhang, Bo Wu, Feiyu Xiong, Bo Tang, Hanyu Wang, Shichao Song, Mengwei Wang, Jiawei Yang
2025	J	`jnl`	SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models. CoRR Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li
2025	—	`conf`	SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. ACL (1) Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Jihao Zhao, Jiawei Yang, Shichao Song, Mengwei Wang
2025	J	`jnl`	SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model. CoRR Xun Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Hanyu Wang, Feiyu Xiong, Jason Zhaoxin Fan, Bo Tang, Shichao Song, Mengwei Wang, Jiawei Yang
2025	J	`jnl`	SurveyX: Academic Survey Automation via Large Language Models. CoRR Xun Liang, Jiawei Yang, Yezhaohui Wang, Chen Tang, Zifan Zheng, Shichao Song, Zehao Lin, Yebin Yang, Simin Niu, Hanyu Wang, Bo Tang, Feiyu Xiong, Keming Mao, Zhiyu Li
2025	J	`jnl`	TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction. CoRR Jie Zhang, Bo Tang, Wanzi Shao, Wenqiang Wei, Jihao Zhao, Jianqing Zhu, Zhiyu Li, Wen Xi, Zehao Lin, Feiyu Xiong, Yanchao Tan
2025	A*	`conf`	xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation. ICLR Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong, Bo Tang, Ding Chen
2025	J	`jnl`	xVerify: Efficient Answer Verifier for Reasoning Model Evaluations. CoRR Ding Chen, Qingchen Yu, Pengyuan Wang, Wentao Zhang, Bo Tang, Feiyu Xiong, Xinchi Li, Minchuan Yang, Zhiyu Li
2024	J	`jnl`	AdaER: An adaptive experience replay approach for continual lifelong learning. Neurocomputing Xingyu Li, Bo Tang, Haifeng Li
2024	J	`jnl`	Attention Heads of Large Language Models: A Survey. CoRR Zifan Zheng, Yezhaohui Wang, Yuxin Huang, Shichao Song, Mingchuan Yang, Bo Tang, Feiyu Xiong, Zhiyu Li
2024	—	`conf`	Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. ACL (Findings) Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang
2024	J	`jnl`	Controlled Text Generation for Large Language Model with Dynamic Attribute Graphs. CoRR Xun Liang, Hanyu Wang, Shichao Song, Mengting Hu, Xunzhi Wang, Zhiyu Li, Feiyu Xiong, Bo Tang
2024	J	`jnl`	DiffPoGAN: Diffusion Policies with Generative Adversarial Networks for Offline Reinforcement Learning. CoRR Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen
2024	J	`jnl`	Empowering Large Language Models to Set up a Knowledge Retrieval Indexer via Self-Learning. CoRR Xiang Liang, Simin Niu, Zhiyu Li, Sensen Zhang, Shichao Song, Hanyu Wang, Jiawei Yang, Feiyu Xiong, Bo Tang, Chenyang Xi
2024	J	`jnl`	FedLGA: Toward System-Heterogeneity of Federated Learning via Local Gradient Approximation. IEEE Trans. Cybern. Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu
2024	J	`jnl`	Grimoire is All You Need for Enhancing Large Language Models. CoRR Ding Chen, Shichao Song, Qingchen Yu, Zhiyu Li, Wenjin Wang, Feiyu Xiong, Bo Tang
2024	J	`jnl`	How Simulation Helps Autonomous Driving: A Survey of Sim2real, Digital Twins, and Parallel Intelligence. IEEE Trans. Intell. Veh. Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Rouxing Huai, Long Chen
2024	J	`jnl`	Lifelong Learning With Cycle Memory Networks. IEEE Trans. Neural Networks Learn. Syst. Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li
2024	J	`jnl`	Long and Short-Term Constraints Driven Safe Reinforcement Learning for Autonomous Driving. CoRR Xuemin Hu, Pan Chen, Yijun Wen, Bo Tang, Long Chen
2024	J	`jnl`	MGSER-SAM: Memory-Guided Soft Experience Replay with Sharpness-Aware Optimization for Enhanced Continual Learning. CoRR Xingyu Li, Bo Tang
2024	J	`jnl`	Memory CoRR Hongkang Yang, Zehao Lin, Wenjin Wang, Hao Wu, Zhiyu Li, Bo Tang, Wenqiang Wei, Jinbo Wang, Zeyun Tang, Shichao Song, Chenyang Xi, Yu Yu, Kai Chen, Feiyu Xiong, Linpeng Tang, Weinan E
2024	—	`conf`	NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism. ACL (1) Miao Li, Ming-Bin Chen, Bo Tang, ShengbinHou ShengbinHou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Cheng Peng, Yi Luo
2024	J	`jnl`	NewsBench: Systematic Evaluation of LLMs for Writing Proficiency and Safety Adherence in Chinese Journalistic Editorial Applications. CoRR Miao Li, Ming-Bin Chen, Bo Tang, Shengbin Hou, Pengyu Wang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Keming Mao, Peng Cheng, Yi Luo
2024	—	`conf`	RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN. VTC Fall Seyed Bagher Hashemi Natanzi, Bo Tang
2024	J	`jnl`	RANFusion: A Comprehensive Tool for Simulating Handover In Next-G RAN. CoRR Seyed Bagher Hashemi Natanzi, Bo Tang
2024	—	`conf`	UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. ACL (1) Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Yezhaohui Wang, Dawei He, Cheng Peng, Zhonghao Wang, Haiying Deng
2024	J	`jnl`	xFinder: Robust and Pinpoint Answer Extraction for Large Language Models. CoRR Qingchen Yu, Zifan Zheng, Shichao Song, Zhiyu Li, Feiyu Xiong, Bo Tang, Ding Chen
2023	J	`jnl`	AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. IEEE Wirel. Commun. Bo Tang, Vijay K. Shah, Vuk Marojevic, Jeffrey H. Reed
2023	J	`jnl`	AdaER: An Adaptive Experience Replay Approach for Continual Lifelong Learning. CoRR Xingyu Li, Bo Tang, Haifeng Li
2023	J	`jnl`	G-Mix: A Generalized Mixup Learning Framework Towards Flat Minima. CoRR Xingyu Li, Bo Tang
2023	J	`jnl`	Learning Dynamic Graph for Overtaking Strategy in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Xuemin Hu, Yanfang Liu, Bo Tang, Junchi Yan, Long Chen
2023	J	`jnl`	LoMar: A Local Defense Against Poisoning Attack on Federated Learning. IEEE Trans. Dependable Secur. Comput. Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, Yao Liu
2023	J	`jnl`	Modeling multi-scale sub-group context for group activity recognition. Appl. Intell. Keming Mao, Peiyang Jin, Yi Ping, Bo Tang
2023	J	`jnl`	On the Convergence of Multi-Server Federated Learning With Overlapping Area. IEEE Trans. Mob. Comput. Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu
2023	J	`jnl`	Sim2real and Digital Twins in Autonomous Driving: A Survey. CoRR Xuemin Hu, Shen Li, Tingyu Huang, Bo Tang, Long Chen
2023	J	`jnl`	UHGEval: Benchmarking the Hallucination of Chinese Large Language Models via Unconstrained Generation. CoRR Xun Liang, Shichao Song, Simin Niu, Zhiyu Li, Feiyu Xiong, Bo Tang, Zhaohui Wy, Dawei He, Peng Cheng, Zhonghao Wang, Haiying Deng
2022	J	`jnl`	AI Testing Framework for Next-G O-RAN Networks: Requirements, Design, and Research Opportunities. CoRR Bo Tang, Vijay K. Shah, Vuk Marojevic, Jeffrey H. Reed
2022	J	`jnl`	CaT: CAVS Traversability Dataset for Off-Road Autonomous Driving. IEEE Access 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
2022	J	`jnl`	Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Long Chen, Xuemin Hu, Bo Tang, Yu Cheng
2022	A*	`conf`	Generalized Federated Learning via Sharpness Aware Minimization. ICML Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu
2022	J	`jnl`	Generalized Federated Learning via Sharpness Aware Minimization. CoRR Zhe Qu, Xingyu Li, Rui Duan, Yao Liu, Bo Tang, Zhuo Lu
2022	J	`jnl`	LoMar: A Local Defense Against Poisoning Attack on Federated Learning. CoRR Xingyu Li, Zhe Qu, Shangqing Zhao, Bo Tang, Zhuo Lu, Yao Liu
2022	J	`jnl`	On the Convergence of Multi-Server Federated Learning with Overlapping Area. CoRR Zhe Qu, Xingyu Li, Jie Xu, Bo Tang, Zhuo Lu, Yao Liu
2022	J	`jnl`	Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. IEEE Trans. Neural Networks Learn. Syst. Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li
2022	C	`conf`	Soil Moisture Estimation Using Hyperspectral Imagery Based on Metric Learning. ICMLA Bo Tang, Weiwei Xie, Qingmin Meng, Robert J. Moorhead, Gary Feng
2022	C	`conf`	Stragglers Are Not Disasters: A Hybrid Federated Learning Framework with Delayed Gradients. ICMLA Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu
2021	J	`jnl`	CSLM: Convertible Short-Term and Long-Term Memory in Differential Neural Computers. IEEE Trans. Neural Networks Learn. Syst. Shiming Xiang, Bo Tang
2021	J	`jnl`	FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation. CoRR Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu
2021	J	`jnl`	Learning a Deep Cascaded Neural Network for Multiple Motion Commands Prediction in Autonomous Driving. IEEE Trans. Intell. Transp. Syst. Xuemin Hu, Bo Tang, Long Chen, Sheng Song, Xiuchi Tong
2021	J	`jnl`	Learning by Active Forgetting for Neural Networks. CoRR Jian Peng, Xian Sun, Min Deng, Chao Tao, Bo Tang, Wenbo Li, Guohua Wu, Qing Zhu, Yu Liu, Tao Lin, Haifeng Li
2021	J	`jnl`	Model-Driven Architecture of Extreme Learning Machine to Extract Power Flow Features. IEEE Trans. Neural Networks Learn. Syst. Qian Gao, Zhifang Yang, Juan Yu, Wei Dai, Xingyu Lei, Bo Tang, Kaigui Xie, Wenyuan Li
2021	J	`jnl`	Overcome Anterograde Forgetting with Cycled Memory Networks. CoRR Jian Peng, Dingqi Ye, Bo Tang, Yinjie Lei, Yu Liu, Haifeng Li
2021	J	`jnl`	Parallel and Distributed Computing for Anomaly Detection From Hyperspectral Remote Sensing Imagery. Proc. IEEE Qian Du, Bo Tang, Weiying Xie, Wei Li
2021	J	`jnl`	Reviewing continual learning from the perspective of human-level intelligence. CoRR Yifan Chang, Wenbo Li, Jian Peng, Bo Tang, Yu Kang, Yinjie Lei, Yuanmiao Gui, Qing Zhu, Yu Liu, Haifeng Li
2021	A	`conf`	Shape Estimation of Negative Obstacles for Autonomous Navigation. IROS Viswadeep Lebakula, Bo Tang, Christopher Goodin, Cindy L. Bethel
2021	J	`jnl`	Stragglers Are Not Disaster: A Hybrid Federated Learning Algorithm with Delayed Gradients. CoRR Xingyu Li, Zhe Qu, Bo Tang, Zhuo Lu
2020	J	`jnl`	Attention-Based Domain Adaptation Using Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Robiulhossain Mdrafi, Qian Du, Ali Cafer Gürbüz, Bo Tang, Li Ma, Nicolas H. Younan
2020	—	`conf`	Data-Enabled Correlation Analysis between Wildfire and Climate using GIS. ICICT Weiwei Xie, Mingyan He, Bo Tang
2020	J	`jnl`	Kernel-Based Edge-Preserving Methods for Abrupt Change Detection. IEEE Signal Process. Lett. Shiming Xiang, Bo Tang
2020	J	`jnl`	MCENN: A variant of extended nearest neighbor method for pattern recognition. Pattern Recognit. Lett. Bo Tang, Haibo He, Song Zhang
2020	J	`jnl`	Quantitative model of irrigation effect on maize yield by deep neural network. Neural Comput. Appl. Babak Saravi, A. Pouyan Nejadhashemi, Bo Tang
2020	J	`jnl`	Recursive Multi-Scale Image Deraining With Sub-Pixel Convolution Based Feature Fusion and Context Aggregation. IEEE Access Suvash Sharma, Bo Tang, John E. Ball, Daniel W. Carruth, Lalitha Dabbiru
2019	J	`jnl`	A Refined Bilateral Filtering Algorithm Based on Adaptively-Trimmed-Statistics for Speckle Reduction in SAR Imagery. IEEE Access Jiaqiu Ai, Ruiming Liu, Bo Tang, Lu Jia, Jinling Zhao, Fang Zhou
2019	C	`conf`	Attention-based Domain Adaptation for Hyperspectral Image Classification. IGARSS Robiul Hossain Md. Rafi, Bo Tang, Qian Du, Nicolas H. Younan
2019	B	`conf`	Linear Order Statistic Neuron. FUZZ-IEEE 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
2019	J	`jnl`	Multi-Scale Rotation-Invariant Haar-Like Feature Integrated CNN-Based Ship Detection Algorithm of Multiple-Target Environment in SAR Imagery. IEEE Trans. Geosci. Remote. Sens. Jiaqiu Ai, Ruitian Tian, Qiwu Luo, Jing Jin, Bo Tang
2019	J	`jnl`	Overcoming Long-term Catastrophic Forgetting through Adversarial Neural Pruning and Synaptic Consolidation. CoRR Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li
2019	J	`jnl`	Parallel Motion Planning: Learning a Deep Planning Model against Emergencies. IEEE Intell. Transp. Syst. Mag. Long Chen, Xuemin Hu, Bo Tang, Dongpu Cao
2019	J	`jnl`	Semantic Segmentation with Transfer Learning for Off-Road Autonomous Driving. Sensors Suvash Sharma, John E. Ball, Bo Tang, Daniel W. Carruth, Matthew Doude, Muhammad Aminul Islam
2018	J	`jnl`	A Generative Model for Sparse Hyperparameter Determination. IEEE Trans. Big Data Zhiqiang Wan, Haibo He, Bo Tang
2018	—	`conf`	A learning-based cost management system for cloud computing. CCWC Quan Ding, Bo Tang, Prakash Manden, Jin Ren
2018	J	`jnl`	BULDP: Biomimetic Uncorrelated Locality Discriminant Projection for Feature Extraction in Face Recognition. IEEE Trans. Image Process. Xin Ning, Weijun Li, Bo Tang, Haibo He
2018	—	`conf`	MILE: A minimally interactive learning framework for visual data analysis. CCWC Bo Tang, Haibo He
2018	—	`conf`	Multi-layer Embedding Neural Architecture with External Memory for Large-Scale Text Categorization. IEEE BigData Robiul Hossain Md. Rafi, Bo Tang, Suvash Sharma
2018	J	`jnl`	Slim and Efficient Neural Network Design for Resource-Constrained SAR Target Recognition. Remote. Sens. Hongyi Chen, Fan Zhang, Bo Tang, Qiang Yin, Xian Sun
2017	J	`jnl`	A local density-based approach for outlier detection. Neurocomputing Bo Tang, Haibo He
2017	B	`conf`	ADL: Active dictionary learning for sparse representation. IJCNN Bo Tang, Jin Xu, Haibo He, Hong Man
2017	J	`jnl`	GIR-based ensemble sampling approaches for imbalanced learning. Pattern Recognit. Bo Tang, Haibo He
2017	J	`jnl`	Incorporating Intelligence in Fog Computing for Big Data Analysis in Smart Cities. IEEE Trans. Ind. Informatics Bo Tang, Zhen Chen, Gerald Hefferman, Shuyi Pei, Tao Wei, Haibo He, Qing Yang
2017	—	`conf`	Kernel-based generative learning in distortion feature space. SSCI Bo Tang, Paul M. Baggenstoss, Haibo He
2017	J	`jnl`	Semisupervised Feature Selection Based on Relevance and Redundancy Criteria. IEEE Trans. Neural Networks Learn. Syst. Jin Xu, Bo Tang, Haibo He, Hong Man
2016	J	`jnl`	A Bayesian Classification Approach Using Class-Specific Features for Text Categorization. IEEE Trans. Knowl. Data Eng. Bo Tang, Haibo He, Paul M. Baggenstoss, Steven Kay
2016	J	`jnl`	A Local Density-Based Approach for Local Outlier Detection. CoRR Bo Tang, Haibo He
2016	J	`jnl`	Adaptive Signal Detection and Parameter Estimation in Unknown Colored Gaussian Noise. CoRR Bo Tang, Haibo He, Steven Kay
2016	J	`jnl`	An Imbalanced Learning based MDR-TB Early Warning System. J. Medical Syst. Sheng Li, Bo Tang, Haibo He
2016	J	`jnl`	Detection of False Data Injection Attacks in Smart Grid under Colored Gaussian Noise. CoRR Bo Tang, Jun Yan, Steven Kay, Haibo He
2016	B	`conf`	Detection of false data attacks in smart grid with supervised learning. IJCNN Jun Yan, Bo Tang, Haibo He
2016	—	`conf`	Detection of false data injection attacks in smart grid under colored Gaussian noise. CNS Bo Tang, Jun Yan, Steven Kay, Haibo He
2016	J	`jnl`	EEF: Exponentially Embedded Families With Class-Specific Features for Classification. IEEE Signal Process. Lett. Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
2016	J	`jnl`	EEF: Exponentially Embedded Families with Class-Specific Features for Classification. CoRR Bo Tang, Steven Kay, Haibo He, Paul M. Baggenstoss
2016	J	`jnl`	FSMJ: Feature Selection with Maximum Jensen-Shannon Divergence for Text Categorization. CoRR Bo Tang, Haibo He
2016	J	`jnl`	Human Mobility Modeling for Robot-Assisted Evacuation in Complex Indoor Environments. IEEE Trans. Hum. Mach. Syst. Bo Tang, Chao Jiang, Haibo He, Yi Guo
2016	J	`jnl`	Kernel-based Generative Learning in Distortion Feature Space. CoRR Bo Tang, Paul M. Baggenstoss, Haibo He
2016	J	`jnl`	Probabilistic Human Mobility Model in Indoor Environment. CoRR Bo Tang, Chao Jiang, Haibo He, Yi Guo
2016	B	`conf`	Probabilistic human mobility model in indoor environment. IJCNN Bo Tang, Chao Jiang, Haibo He, Yi Guo
2016	J	`jnl`	Probability Density Function Estimation Using the EEF With Application to Subset/Feature Selection. IEEE Trans. Signal Process. Steven Kay, Quan Ding, Bo Tang, Haibo He
2016	J	`jnl`	Toward Optimal Feature Selection in Naive Bayes for Text Categorization. CoRR Bo Tang, Steven Kay, Haibo He
2016	J	`jnl`	Toward Optimal Feature Selection in Naive Bayes for Text Categorization. IEEE Trans. Knowl. Data Eng. Bo Tang, Steven Kay, Haibo He
2015	—	`conf`	A Hierarchical Distributed Fog Computing Architecture for Big Data Analysis in Smart Cities. ASE BD&SI Bo Tang, Zhen Chen, Gerald Hefferman, Tao Wei, Haibo He, Qing Yang
2015	J	`jnl`	A Parametric Classification Rule Based on the Exponentially Embedded Family. IEEE Trans. Neural Networks Learn. Syst. Bo Tang, Haibo He, Quan Ding, Steven Kay
2015	J	`jnl`	ENN: Extended Nearest Neighbor Method for Pattern Recognition [Research Frontier]. IEEE Comput. Intell. Mag. Bo Tang, Haibo He
2015	B	`conf`	KernelADASYN: Kernel based adaptive synthetic data generation for imbalanced learning. CEC Bo Tang, Haibo He
2015	B	`conf`	Reflex-Tree: A Biologically Inspired Parallel Architecture for Future Smart Cities. ICPP Jason Kane, Bo Tang, Zhen Chen, Jun Yan, Tao Wei, Haibo He, Qing Yang
2014	C	`conf`	Experimental studies on indoor sign recognition and classification. CIDM Zhen Ni, Siyao Fu, Bo Tang, Haibo He, Xinming Huang
2014	B	`conf`	Hybrid classification with partial models. IJCNN Bo Tang, Quan Ding, Haibo He, Steven Kay