Fei Wen - RankMe

56 papers A* 3A 3B 2C 2Misc 3Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Distribution network design problem considering warehouse types: framework, model, and algorithm. Int. J. Prod. Res. Sixiang Zhao, Dali Zhang, Jinye Wang, Weihong Liu, Fei Wen, Xinyan Zeng
2026	J	`jnl`	On the neighbor full sum distinguishing total coloring of graphs. Discret. Appl. Math. Fei Wen, Zhongzheng Yue, Zepeng Li, Hong-Jian Lai
2026	J	`jnl`	TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI. CoRR Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani
2025	Misc	`conf`	A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. FCCM Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani
2025	J	`jnl`	A Priori Estimates for Deep Residual Network in Continuous-Time Reinforcement Learning. SIAM J. Math. Data Sci. Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
2025	J	`jnl`	Accurate recognition and segmentation of northern corn leaf blight in drone RGB Images: A CycleGAN-augmented YOLOv5-Mobile-Seg lightweight network approach. Comput. Electron. Agric. Fei Wen, Hua Wu, Xingxing Zhang, Yanmin Shuai, Jiapeng Huang, Xin Li, Junyao Huang
2025	J	`jnl`	Adjacent vertex strongly distinguishing total coloring of graphs with lower average degree. Discuss. Math. Graph Theory Fei Wen, Li Zhou, Zepeng Li
2025	Misc	`conf`	Explicit Mutual Information Maximization for Self-Supervised Learning. ICASSP Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen
2025	—	`conf`	KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning. NeuS Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Alvaro Velasquez, Mohsen Imani
2025	A*	`conf`	MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models. EMNLP Yuezhang Peng, Yuxin Liu, Fei Wen, Xie Chen
2025	J	`jnl`	Neighbor full sum distinguishing total coloring of planar graphs. J. Supercomput. Zhongzheng Yue, Fei Wen, Zhijun Li
2025	B	`conf`	Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Non-equilibrium Loss Landscapes via the Fokker-Planck Equation. IJCNN Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo
2025	A	`conf`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. WACV Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2025	A	`conf`	Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning. ISLPED Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani
2025	J	`jnl`	Self-ensemble for test time adaptation. Neurocomputing Dongyang Li, Liujia Ma, Mingyue Qin, Peilin Liu, Fei Wen
2025	A*	`conf`	Self-supervised End-to-end ToF Imaging Based on RGB-D Cross-modal Dependency. IJCAI Weihang Wang, Jun Wang, Fei Wen
2025	A	`conf`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. WACV Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2025	C	`conf`	ZO-ASR: Zeroth-Order Fine-Tuning of Speech Foundation Models without Back-Propagation. ASRU Yuezhang Peng, Yuxin Liu, Yao Li, Sheng Wang, Fei Wen, Xie Chen
2025	J	`jnl`	ZO-ASR: Zeroth-Order Fine-Tuning of Speech Foundation Models without Back-Propagation. CoRR Yuezhang Peng, Yuxin Liu, Yao Li, Sheng Wang, Fei Wen, Xie Chen
2024	J	`jnl`	A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning. CoRR Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
2024	J	`jnl`	Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning. CoRR Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo
2024	J	`jnl`	Brain-Inspired Online Adaptation for Remote Sensing with Spiking Neural Network. CoRR Dexin Duan, Peilin Liu, Fei Wen
2024	J	`jnl`	Explicit Mutual Information Maximization for Self-Supervised Learning. CoRR Lele Chang, Peilin Liu, Qinghai Guo, Fei Wen
2024	J	`jnl`	HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani
2024	Misc	`conf`	High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Effective Loss Landscapes via the Fokker-Planck Equation. CoRR Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo
2024	J	`jnl`	Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
2024	—	`conf`	TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. ECCV Workshops (20) Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani
2024	J	`jnl`	VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel D. Bastian, Hugo Latapie, Mohsen Imani
2023	B	`conf`	HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani
2023	J	`jnl`	Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning. CoRR Fei Wen, Wei Wang, Wenxian Yu
2022	J	`jnl`	Cross-modal Graph Matching Network for Image-text Retrieval. ACM Trans. Multim. Comput. Commun. Appl. Yuhao Cheng, Xiaoguang Zhu, Jiuchao Qian, Fei Wen, Peilin Liu
2022	A*	`conf`	Optimally Controllable Perceptual Lossy Compression. ICML Zeyu Yan, Fei Wen, Peilin Liu
2022	J	`jnl`	Optimally Controllable Perceptual Lossy Compression. CoRR Zeyu Yan, Fei Wen, Peilin Liu
2022	J	`jnl`	Study of the Impact of the Rise and Fall of the Coal Industry on the Regional Economy. J. Glob. Inf. Manag. Wensheng Wang, Fei Wen, Yejun Yang, Yuting Jia
2021	J	`jnl`	A Study of Deep Learning Combined with Phonetic Models in Foreign Language Teaching. Wirel. Pers. Commun. Fei Wen, Yanfeng Yue
2021	J	`jnl`	Deep Learning-Based Instance Segmentation Method of Litchi Canopy from UAV-Acquired Images. Remote. Sens. Jiawei Mo, Yubin Lan, Dongzi Yang, Fei Wen, Hongbin Qiu, Xin Chen, Xiaoling Deng
2021	J	`jnl`	Simple and Robust Loss Design for Multi-Label Learning with Missing Labels. CoRR Youcai Zhang, Yuhao Cheng, Xinyu Huang, Fei Wen, Rui Feng, Yaqian Li, Yandong Guo
2019	—	`conf`	CD-ABM: Curriculum Design with Attention Branch Model for Person Re-identification. PRICAI (3) Junhong Chen, Jiuchao Qian, Xiaoguang Zhu, Fei Wen, Yan Hong, Peilin Liu
2018	—	`conf`	Efficient design and implementation of channelized reconnaissance receiver. ICCIP Xinxing Zhou, Quanwang Cai, Zheng Wang, Fei Wen, Yaoming Qiu
2017	—	`conf`	A Novel Accurate Source Number Estimation Method Based on GBSA-MDL Algorithm. ChinaCom (2) Taha Bouras, Di He, Fei Wen, Peilin Liu, Wenxian Yu
2017	J	`jnl`	Efficient estimation of binding free energies between peptides and an MHC class II molecule using coarse-grained molecular dynamics simulations with a weighted histogram analysis method. J. Comput. Chem. Ming Huang, Wenjun Huang, Fei Wen, Ronald G. Larson
2016	—	`conf`	2D DOA estimation method based on channel state information for uniform circular array. UPINLBS Daulet Alibi, Umer Javed, Fei Wen, Di He, Peilin Liu, Yi Zhang, Ling-ge Jiang
2016	—	`conf`	Improved subspace direction-of-arrival estimation in unknown nonuniform noise fields. UPINLBS Fei Wen, Umer Javed, Yuan Yang, Di He, Yi Zhang
2015	—	`conf`	Cramer-Rao Bound of TDOA estimation for frequency-hopping signals in fading channels. ChinaSIP Xinxin Ouyang, Qun Wan, Jinyu Xiong, Fei Wen
2015	J	`jnl`	The algorithm for adjacent vertex distinguishing proper edge coloring of graphs. Discret. Math. Algorithms Appl. Jingwen Li, Tengyun Hu, Fei Wen
2014	J	`jnl`	The packing number and Laplacian spectrum of a graph. Int. J. Comput. Math. Fei Wen, Qiongxiang Huang, Zhenzhen Lou
2013	J	`jnl`	Maximum likelihood and signal-selective TDOA estimation for noncircular signals. J. Commun. Networks Fei Wen, Qun Wan
2013	J	`jnl`	On the Laplacian spectral characterization of the generalized T-shape trees. Ars Comb. Fei Wen, Qiongxiang Huang
2012	C	`conf`	Effectiveness of the Wideband Minimum Variance Direction Finding Method in Nonuniform Noise. CIT Fei Wen, Qun Wan, Jiyan Huang
2011	J	`jnl`	Robust time delay estimation for speech signals using information theory: A comparison study. EURASIP J. Audio Speech Music. Process. Fei Wen, Qun Wan
2011	J	`jnl`	The Smarandachely Adjacent Vertex Total Coloring of a kind of 3-regular Grapsh. Ars Comb. Zhiwen Wang, Jaeun Lee, Jingwen Li, Fei Wen
2010	J	`jnl`	A note on the vertex-distinguishing proper total coloring of graphs. Ars Comb. Jingwen Li, Zhiwen Wang, Zhongfu Zhang, Enqiang Zhu, Fei Wen, Hongjie Wang
2010	—	`conf`	Vertex Distinguishing Total Coloring of Ladder Graphs. ISIA Shitang Bao, Zhiwen Wang, Fei Wen
2009	—	`conf`	Adjacent Vertex Reducible Edge-Total Coloring of Graphs. BMEI Jingwen Li, Zhongfu Zhang, Enqiang Zhu, Wenhui Xu, Fei Wen, Lin Li, Ji Zhang