Performance optimization of continuous-time Markov control processes based on performance potentials. - Tang Hao; Hongsheng Xi; Baoqun Yin (Int. J. Syst. Sci., 2003)

Simulation-Based Optimization of Singularly Perturbed Markov Reward Processes with States Aggregation. - Dali Zhang; Hongsheng Xi; Baoqun Yin (ICIC (2), 2005)

The optimal robust control policy for uncertain semi-Markov control processes. - Tang Hao; Hongsheng Xi; Baoqun Yin (Int. J. Syst. Sci., 2005)

Adaptive Optimization of Time-out Policy for Dynamic Power Management Based on SMCP. - Qi Jiang; Hongsheng Xi; Baoqun Yin (CCA, 2007)

Estimation of System Power Consumption on Mobile Computing Devices. - Niu Limin; Xiaobin Tan; Baoqun Yin (CIS, 2007)

Error bounds of optimization algorithms for semi-Markov decision processes. - Tang Hao; Baoqun Yin; Hongsheng Xi (Int. J. Syst. Sci., 2007)

Sensitivity analysis and estimates of the performance for M/G/1 queueing systems. - Baoqun Yin; Guiping Dai; Yanjie Li; Hongsheng Xi (Perform. Evaluation, 2007)

Event-related optimization for a class of resource location with admission control. - Chenfeng Xu; Jian Yang 014; Hongsheng Xi; Qi Jiang; Baoqun Yin (IJCNN, 2008)

Performance Optimization of Semi-Markov Decision Processes with Discounted-cost Criteria. - Baoqun Yin; Yanjie Li; Yaping Zhou; Hongsheng Xi (Eur. J. Control, 2008)

Partially Observable Markov Decision Processes and Performance Sensitivity Analysis. - Yanjie Li; Baoqun Yin; Hongsheng Xi (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Finding optimal memoryless policies of POMDPs under the expected average reward criterion. - Yanjie Li; Baoqun Yin; Hongsheng Xi (Eur. J. Oper. Res., 2011)

Admission control with elastic QoS for video on demand systems. - Fu-Shou Lin; Baoqun Yin; Jing Huang; Xu-Min Wu (Int. J. Autom. Comput., 2012)

Modeling and analysis for the P2P-based media delivery network. - Baoqun Yin; Dong Guo; Jing Huang; Xu-Min Wu (Math. Comput. Model., 2012)

Switching-POMDP based admission control policies for service systems with distributed architecture. - Xiaonong Lu; Baoqun Yin; Haipeng Zhang (ICNSC, 2014)

Modeling and Analysis for Streaming Service Systems. - Haipeng Zhang; Baoqun Yin; Xiaonong Lu (Int. J. Autom. Comput., 2014)

A landmark selection method for L-Isomap based on greedy algorithm and its application. - Hao Shi; Baoqun Yin; Xiaofeng Zhang; Yu Kang 001; Yingke Lei (CDC, 2015)

Sampled-data feedback control of Han canonical form. - Huiyu Jin; Lili Liu; Weiyao Lan; Jianping Zeng 004; Baoqun Yin (ICCA, 2016)

A novel landmark point selection method for L-ISOMAP. - Hao Shi; Baoqun Yin; Yizhao Bao; Yingke Lei (ICCA, 2016)

A novel joint adaptive forwarding and resource allocation strategy for named data networking based on SMDP. - Jinfa Yao; Baoqun Yin; Xiaonong Lu (ICCA, 2016)

Analysis of topology dynamics for unstructured P2P networks. - Baoqun Yin; Xiaonong Lu; Jing Huang; Yu Kang 001 (Comput. Commun., 2016)

A reinforcement-learning approach for admission control in distributed network service systems. - Xiaonong Lu; Baoqun Yin; Haipeng Zhang (J. Comb. Optim., 2016)

Event-based optimization for admission control in distributed service system. - Xiaonong Lu; Baoqun Yin; Xiaofeng Zhang; Jie Cao; Yu Kang 001 (Telecommun. Syst., 2016)

A POMDP framework for forwarding mechanism in named data networking. - Jinfa Yao; Baoqun Yin; Xiaobin Tan; Xiaofeng Jiang (Comput. Networks, 2017)

A Game Theoretic Framework for Congestion Control in Named Data Networking. - Jinfa Yao; Baoqun Yin; Xiaobin Tan; Yizhao Bao (Inf. Technol. Control., 2017)

A modified artificial bee colony approach for the 0-1 knapsack problem. - Jie Cao; Baoqun Yin; Xiaonong Lu; Yu Kang 001; Xin Chen (Appl. Intell., 2018)

Skip-connection convolutional neural network for still image crowd counting. - Luyang Wang; Baoqun Yin; Aixin Guo; Hao Ma; Jie Cao (Appl. Intell., 2018)

A SMDP-based forwarding scheme in named data networking. - Jinfa Yao; Baoqun Yin; Xiaobin Tan (Neurocomputing, 2018)

A novel POMDP-based server RAM caching algorithm for VoD systems. - Baoqun Yin; Jie Cao; Yu Kang 001; Xiaonong Lu; Xiaofeng Jiang (Multim. Tools Appl., 2018)

Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks. - Yun Li; Luyang Wang; Sifan Peng; Aakash Kumar; Baoqun Yin (ICANN (2), 2019)

Removing background interference for crowd counting via de-background detail convolutional network. - Luyang Wang; Baoqun Yin; Xiao Tang; Yun Li (Neurocomputing, 2019)

Weight-Dependent Gates for Differentiable Neural Network Pruning. - Yun Li; Weiqun Wu; Zechun Liu; Chi Zhang 026; Xiangyu Zhang 005; Haotian Yao; Baoqun Yin (ECCV Workshops (5), 2020)

Feature Reaggregation Network for Crowd Counting. - Xiaoliang Hao; Qianqian Yang; Yinfeng Xia; Baoqun Yin; Sifan Peng (ICAIP, 2020)

Context-based Feature Fusion Network for Object Detection. - Yinfeng Xia; Yuqiang He; Xiaoliang Hao; Baoqun Yin (ICAIP, 2020)

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results. - Zhihao Liu; Zhijian He; Lujia Wang 001; Wenguan Wang; Yixuan Yuan; Dingwen Zhang; Jinglin Zhang; Pengfei Zhu 001; Luc Van Gool; Junwei Han 001; Steven C. H. Hoi; Qinghua Hu; et al. (ICCVW, 2021)

Mix-groups Attention Network for Object Detection. - Yuqiang He; Yinfeng Xia; Yizhen Wang; Baoqun Yin (ICMLSC, 2021)

Scale-aware and Anti-interference Convolutional Network for Crowd Counting. - Qianqian Yang; Xiaoliang Hao; Yinfeng Xia; Sifan Peng; Baoqun Yin (IJCNN, 2021)

Boosting Mobile CNN Inference through Semantic Memory. - Yun Li; Chen Zhang 001; Shihao Han; Li Lyna Zhang; Baoqun Yin; Yunxin Liu 001; Mengwei Xu (ACM Multimedia, 2021)

ARNet: Accurate and Real-Time Network for Crowd Counting. - Yinfeng Xia; Qing He; Wenyue Wei; Baoqun Yin (PRICAI (2), 2021)

Pruning filters with L1-norm and capped L1-norm for CNN compression. - Aakash Kumar; Ali Muhammad Shaikh; Yun Li; Hazrat Bilal; Baoqun Yin (Appl. Intell., 2021)

Multi-level feature fusion network for crowd counting. - Luyang Wang; Yun Li; Sifan Peng; Xiao Tang; Baoqun Yin (IET Comput. Vis., 2021)

EDENet: Elaborate density estimation network for crowd counting. - Yinfeng Xia; Yuqiang He; Sifan Peng; Xiaoliang Hao; Qianqian Yang; Baoqun Yin (Neurocomputing, 2021)

CFFNet: Coordinated feature fusion network for crowd counting. - Yinfeng Xia; Yuqiang He; Sifan Peng; Qianqian Yang; Baoqun Yin (Image Vis. Comput., 2021)

Adaptive weighted crowd receptive field network for crowd counting. - Sifan Peng; Luyang Wang; Baoqun Yin; Yun Li; Yinfeng Xia; Xiaoliang Hao (Pattern Anal. Appl., 2021)

Depth and edge auxiliary learning for still image crowd density estimation. - Sifan Peng; Baoqun Yin; Xiaoliang Hao; Qianqian Yang; Aakash Kumar; Luyang Wang (Pattern Anal. Appl., 2021)

Semi-supervised Crowd Counting based on Patch Crowds Statistics. - Sifan Peng; Baoqun Yin; Yinfeng Xia; Qianqian Yang; Luyang Wang (CACML, 2022)

Ghost Attention Efficient Network for Crowd Counting. - Yuqiang He; Xuan Zu; Yinfeng Xia; Yizhen Wang; Baoqun Yin (ICCCS, 2022)

LDP: A Large Diffuse Filter Pruning to Slim the CNN. - Wenyue Wei; Yizhen Wang; Yun Li; Yinfeng Xia; Baoqun Yin (ICMLSC, 2022)

Jointly attention network for crowd counting. - Yuqiang He; Yinfeng Xia; Yizhen Wang; Baoqun Yin (Neurocomputing, 2022)

CorrNet: pearson correlation based pruning for efficient convolutional neural networks. - Aakash Kumar; Baoqun Yin; Ali Muhammad Shaikh; Munawar Ali; Wenyue Wei (Int. J. Mach. Learn. Cybern., 2022)

Weight-Dependent Gates for Network Pruning. - Yun Li; Zechun Liu; Weiqun Wu; Haotian Yao; Xiangyu Zhang 005; Chi Zhang 026; Baoqun Yin (IEEE Trans. Circuits Syst. Video Technol., 2022)

HTNet: A Hybrid Model Boosted by Triple Self-attention for Crowd Counting. - Yang Li; Baoqun Yin (PRCV (12), 2023)

Consecutive layer collaborative filter similarity for differentiable neural network pruning. - Xuan Zu; Yun Li; Baoqun Yin (Neurocomputing, 2023)

A practical study of active disturbance rejection control for rotary flexible joint robot manipulator. - Hazrat Bilal; Baoqun Yin; Muhammad Shamrooz Aslam; Zeeshan Anjum; Avinash Rohra; Yizhen Wang (Soft Comput., 2023)

Exploring density rectification and domain adaption method for crowd counting. - Sifan Peng; Baoqun Yin; Qianqian Yang; Qing He; Luyang Wang (Neural Comput. Appl., 2023)

Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. - Hazrat Bilal; Baoqun Yin; Aakash Kumar; Munawar Ali; Jing Zhang 015; Jinfa Yao (Soft Comput., 2023)

Cross-Level Feature Relocation: Mitigating Information Loss in Cross-Layer Feature Fusion for Crowd Counting. - Yuanyang Yin; Baoqun Yin (ACML, 2024)

PQ-SAM: Post-training Quantization for Segment Anything Model. - Xiaoyu Liu; Xin Ding; Lei Yu; Yuanyuan Xi; Wei Li 002; Zhijun Tu; Jie Hu 021; Hanting Chen; Baoqun Yin; Zhiwei Xiong (ECCV (10), 2024)

SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMs. - Yuanyang Yin; Yaqi Zhao; Yajie Zhang; Ke Lin; Jiahao Wang; Xin Tao 001; Pengfei Wan 001; Di Zhang; Baoqun Yin; Wentao Zhang (CoRR, 2024)

Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. - Munawar Ali; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Ali Muhammad Shaikh; Avinash Rohra (Multim. Tools Appl., 2024)

Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach. - Hazrat Bilal; Mohammad S. Obaidat; Muhammad Shamrooz Aslam; Jing Zhang 015; Baoqun Yin; Khalid Mahmood 002 (IEEE Internet Things J., 2024)

A Semi-supervised crowd counting method based on patch crowds statistics. - Sifan Peng; Baoqun Yin; Yinfeng Xia; Qianqian Yang; Luyang Wang (Pattern Anal. Appl., 2024)

Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment. - Zhixin Cheng; Jiacheng Deng 002; Xinjun Li; Baoqun Yin; Tianzhu Zhang 001 (AAAI, 2025)

Towards Precise Scaling Laws for Video Diffusion Transformers. - Yuanyang Yin; Yaqi Zhao; Mingwu Zheng; Ke Lin; Jiarong Ou; Rui Chen; Victor Shea-Jay Huang; Jiahao Wang; Xin Tao 001; Pengfei Wan 001; Di Zhang; Baoqun Yin; et al. (CVPR, 2025)

Beyond Sight: Towards Cognitive Alignment in LVLM via Enriched Visual Knowledge. - Yaqi Zhao; Yuanyang Yin; Lin Li; Mingan Lin; Victor Shea-Jay Huang; Siwei Chen; Weipeng Chen; Baoqun Yin; Zenan Zhou; Wentao Zhang (CVPR, 2025)

CBQ: Cross-Block Quantization for Large Language Models. - Xin Ding; Xiaoyu Liu; Zhijun Tu; Yun Zhang; Wei Li 002; Jie Hu 021; Hanting Chen; Yehui Tang; Zhiwei Xiong; Baoqun Yin; Yunhe Wang 001 (ICLR, 2025)

DCFT: Dependency-aware continual learning fine-tuning for sparse LLMs. - Yanzhe Wang; Yizhen Wang; Baoqun Yin (Neurocomputing, 2025)

ACEBench: Who Wins the Match Point in Tool Learning? - Chen Chen 017; Xinlong Hao; Weiwen Liu; Xu Huang 008; Xingshan Zeng; Shuai Yu; Dexun Li; Shuai Wang 020; Weinan Gan; Yuefeng Huang; Wulong Liu; Xinzhi Wang; et al. (CoRR, 2025)

MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting. - Avinash Rohra; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Munawar Ali; Yang Li (Pattern Anal. Appl., 2025)

CA-I2P: Channel-Adaptive Registration Network with Global Optimal Selection. - Zhixin Cheng; Jiacheng Deng 002; Xinjun Li; Xiaotian Yin; Bohao Liao; Baoqun Yin; Wenfei Yang; Tianzhu Zhang 001 (CoRR, 2025)

End-to-end model compression via pruning and knowledge distillation for lightweight image super resolution. - Yanzhe Wang; Yizhen Wang; Avinash Rohra; Baoqun Yin (Pattern Anal. Appl., 2025)