Yiming Peng - RankMe

47 papers A 3B 10C 3Journal 21Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LiteFT-PR: Lightweight and Fault-Tolerant LiDAR-Camera Fusion Network for Robust Place Recognition via Model Distillation. IEEE Robotics Autom. Lett. Zihang Wang, Xu Li, Guanyu Zong, Xieyuanli Chen, Dong Kong, Yiming Peng, Wenkai Zhu, Kaiyi Wang
2026	J	`jnl`	Wild-Drive: Off-Road Scene Captioning and Path Planning via Robust Multi-modal Routing and Efficient Large Language Model. CoRR Zihang Wang, Xu Li, Benwu Wang, Wenkai Zhu, Xieyuanli Chen, Dong Kong, Kailin Lyu, Yinan Du, Yiming Peng, Haoyang Che
2025	A	`conf`	Advancing Large Language Models in Code Generation: Usaco Benchmark and Bug Mitigation Insights. ICPC Jacob Trentini, Victor Liu, Yiming Peng, Ziliang Zong
2025	J	`jnl`	Compact network alignment with mitigated sensitive information exposing in P2P networks: a community partition-based approach. Peer Peer Netw. Appl. Rui Tang, Yiming Peng, Jingxi Li, Xingshu Chen, Yi Zhang, Xian Mo
2025	J	`jnl`	LVD-GS: Gaussian Splatting SLAM for Dynamic Scenes via Hierarchical Explicit-Implicit Representation Collaboration Rendering. CoRR Wenkai Zhu, Xu Li, Qimin Xu, Benwu Wang, Kun Wei, Yiming Peng, Zihang Wang
2025	J	`jnl`	Regularizing classifier for few-shot object detection via feature augmentation and random labeling. Neurocomputing Yiming Peng, Shuxiao Li
2024	J	`jnl`	Partially egalitarian portfolio selection. Oper. Res. Lett. Yiming Peng, Vadim Linetsky
2024	J	`jnl`	Proximal evolutionary strategy: improving deep reinforcement learning through evolutionary policy optimization. Memetic Comput. Yiming Peng, Gang Chen, Mengjie Zhang, Bing Xue
2024	C	`conf`	Towards Equitable Diagnosis: Bias Evaluation and Mitigation in Skin Cancer Classification. CIBCB Eliana Raizman, Yiming Peng, Austin Deng
2023	J	`jnl`	Road Traffic Sign Detection Method Based on RTS R-CNN Instance Segmentation Network. Sensors Guirong Zhang, Yiming Peng, Hai Wang
2023	—	`conf`	Taper Residual Dense Network for Audio Super-Resolution. ICANN (10) Junmei Yang, Haosen Lin, Yiming Peng
2022	J	`jnl`	A Diversity-Enhanced Subset Selection Framework for Multimodal Multiobjective Optimization. IEEE Trans. Evol. Comput. Yiming Peng, Hisao Ishibuchi
2022	—	`conf`	Dynamic Multi-modal Multi-objective Optimization: A Preliminary Study. PPSN (2) Yiming Peng, Hisao Ishibuchi
2022	B	`conf`	Multi-Modal Multi-Objective Test Problems with an Infinite Number of Equivalent Pareto Sets. CEC Hisao Ishibuchi, Yiming Peng, Lie Meng Pang
2022	—	`conf`	Portfolio Selection: A Statistical Learning Approach. ICAIF Yiming Peng, Vadim Linetsky
2021	B	`conf`	A Decomposition-based Hybrid Evolutionary Algorithm for Multi-modal Multi-objective Optimization. SMC Yiming Peng, Hisao Ishibuchi
2021	A	`conf`	Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. GECCO Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng
2021	C	`conf`	Niching Diversity Estimation for Multi-modal Multi-objective Optimization. EMO Yiming Peng, Hisao Ishibuchi
2021	J	`jnl`	Niching Diversity Estimation for Multi-modal Multi-objective Optimization. CoRR Yiming Peng, Hisao Ishibuchi
2021	J	`jnl`	Resource Allocation for MIMO Full-Duplex Backscatter Assisted Wireless-Powered Communication Network With Finite Alphabet Inputs. IEEE Trans. Commun. Feng Ke, Yiming Peng, Yingru Peng, Derrick Wing Kwan Ng
2021	J	`jnl`	XGBoost energy consumption prediction based on multi-system data HVAC. CoRR Yunlong Li, Yiming Peng, Dengzheng Zhang, Yingan Mai, Zhengrong Ruan
2020	J	`jnl`	A Decomposition-based Large-scale Multi-modal Multi-objective Optimization Algorithm. CoRR Yiming Peng, Hisao Ishibuchi
2020	B	`conf`	A Decomposition-based Large-scale Multi-modal Multi-objective optimization Algorithm. CEC Yiming Peng, Hisao Ishibuchi
2020	B	`conf`	Effective Linear Policy Gradient Search through Primal-Dual Approximation. IJCNN Yiming Peng, Gang Chen, Mengjie Zhang
2019	B	`conf`	A Scalable Multimodal Multiobjective Test Problem. CEC Hisao Ishibuchi, Yiming Peng, Ke Shang
2019	—	`conf`	Multi-modal Multi-objective Optimization: Problem Analysis and Case Studies. SSCI Yiming Peng, Hisao Ishibuchi, Ke Shang
2019	J	`jnl`	Off-Policy Actor-Critic in an Ensemble: Achieving Maximum General Entropy and Effective Environment Exploration in Deep Reinforcement Learning. CoRR Gang Chen, Yiming Peng
2019	—	`—`	Policy Direct Search for Effective Reinforcement Learning. Yiming Peng
2018	J	`jnl`	An Adaptive Clipping Approach for Proximal Policy Optimization. CoRR Gang Chen, Yiming Peng, Mengjie Zhang
2018	B	`conf`	Constrained Expectation-Maximization Methods for Effective Reinforcement Learning. IJCNN Gang Chen, Yiming Peng, Mengjie Zhang
2018	J	`jnl`	Effective Exploration for Deep Reinforcement Learning via Bootstrapped Q-Ensembles under Tsallis Entropy Regularization. CoRR Gang Chen, Yiming Peng, Mengjie Zhang
2018	A	`conf`	NEAT for large-scale reinforcement learning through evolutionary feature learning and policy gradient search. GECCO Yiming Peng, Gang Chen, Harman Singh, Mengjie Zhang
2018	B	`conf`	User Access and Resource Allocation in Full-Duplex User-Centric Ultra-Dense Heterogeneous Networks. GLOBECOM Guobin Zhang, Feng Ke, Yiming Peng, Chong Zhang, Haijun Zhang
2018	C	`conf`	Verifying Stochastic Behaviors of Decentralized Self-Adaptive Systems: A Formal Modeling and Simulation Based Approach. QRS Nianyu Li, Di Bai, Yiming Peng, Zhuoqun Yang, Wenpin Jiao
2017	J	`jnl`	A GLR control chart for monitoring a multinomial process. Qual. Reliab. Eng. Int. Jaeheon Lee, Yiming Peng, Ning Wang, Marion R. Reynolds Jr.
2017	B	`conf`	A sandpile model for reliable actor-critic reinforcement learning. IJCNN Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
2017	—	`conf`	Automated state feature learning for actor-critic reinforcement learning through NEAT. GECCO (Companion) Yiming Peng, Gang Chen, Scott Holdaway, Yi Mei, Mengjie Zhang
2017	—	`conf`	Effective Policy Gradient Search for Reinforcement Learning Through NEAT Based Feature Extraction. SEAL Yiming Peng, Gang Chen, Mengjie Zhang, Yi Mei
2017	—	`conf`	Evolving Transferable Artificial Neural Networks for Gameplay Tasks via NEAT with Phased Searching. Australasian Conference on Artificial Intelligence Will Hardwick-Smith, Yiming Peng, Gang Chen, Yi Mei, Mengjie Zhang
2017	J	`jnl`	基于多节点社团意识系统的属性图聚类算法 (Attributed Graph Clustering Algorithm Based on Cluster-aware Multiagent System). 计算机科学 Kai Shi, Luokun Ren, Yiming Peng, Huijia Li
2016	—	`conf`	Generalized Compatible Function Approximation for Policy Gradient Search. ICONIP (1) Yiming Peng, Gang Chen, Mengjie Zhang, Shaoning Pang
2015	B	`conf`	A federated network online network traffics analysis engine for cybersecurity. IJCNN Shaoning Pang, Yiming Peng, Tao Ban, Daisuke Inoue, Abdolhossein Sarrafzadeh
2015	J	`jnl`	An Individuals Generalized Likelihood Ratio Control Chart for Monitoring Linear Profiles. Qual. Reliab. Eng. Int. Liaosa Xu, Yiming Peng, Marion R. Reynolds Jr.
2015	J	`jnl`	The Design of the Variable Sampling Interval Generalized Likelihood Ratio Chart for Monitoring the Process Mean. Qual. Reliab. Eng. Int. Yiming Peng, Liaosa Xu, Marion R. Reynolds Jr.
2013	B	`conf`	Chunk incremental IDR/QR LDA learning. IJCNN Yiming Peng, Shaoning Pang, Gang Chen, Abdolhossein Sarrafzadeh, Tao Ban, Daisuke Inoue
2013	J	`jnl`	Geometric Charts with Estimated Control Limits. Qual. Reliab. Eng. Int. Min Zhang, Yiming Peng, Anna Schuh, Fadel M. Megahed, William H. Woodall
2012	—	`conf`	Exploring Crude Oil Impacts to Oil Stocks through Graphical Computational Correlation Analysis. ICONIP (5) Anthony Lai, Lei Song, Yiming Peng, Peter Zhang, Qili Wang, Shaoning Pang