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ORCIDYifei Zhou
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j11]Fuchao Li
, Jingen Wu, Sujie Liu, Jieqiang Gao, Bomin Lin, Jintao Mo, Jiacheng Qiao, Yiwei Xu, Yongjun Du, Xin He, Yifei Zhou, Lan Zeng, Zhongqiang Hu, Ming Liu:
Magnetoelectric Sensor Operating in d15 Thickness-Shear Mode for High-Frequency Current Detection. Sensors 24(8): 2396 (2024)- [j10]Chunyang Liu, Zhixin Zhao, Yifei Zhou, Lin Ma, Xin Sui, Yan Huang, Xiaokang Yang, Xiqiang Ma:
Object Detection and Information Perception by Fusing YOLO-SCG and Point Cloud Clustering. Sensors 24(16): 5357 (2024) - [j9]Yujie Zhang, Qi Yang, Yifei Zhou, Xiaozhong Xu, Le Yang, Yiling Xu:
TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment. IEEE Trans. Vis. Comput. Graph. 30(10): 6707-6724 (2024) - [c21]Yifei Zhou, Zijian Wang, Chao Wang:
E2E-Check: End to End GPU-Accelerated Design Rule Checking with Novel Mask Boolean Algorithms. ASPDAC 2024: 380-385 - [c20]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature- Resilient Compute-In-Memory Based on Subthreshold-FeFET. DATE 2024: 1-6 - [c19]Yifei Zhou, Sitong Liu:
Enhancing Representation Learning of EEG Data with Masked Autoencoders. HCI (12) 2024: 88-100 - [c18]Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun:
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. ICLR 2024 - [c17]Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar:
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. ICML 2024 - [i16]Yifei Zhou, Andrea Zanette, Jiayi Pan, Sergey Levine, Aviral Kumar:
ArCHer: Training Language Model Agents via Hierarchical Multi-Turn RL. CoRR abs/2402.19446 (2024) - [i15]Jiayi Pan, Yichi Zhang, Nicholas Tomlin, Yifei Zhou, Sergey Levine, Alane Suhr:
Autonomous Evaluation and Refinement of Digital Agents. CoRR abs/2404.06474 (2024) - [i14]Yuexiang Zhai, Hao Bai, Zipeng Lin, Jiayi Pan, Shengbang Tong, Yifei Zhou, Alane Suhr, Saining Xie, Yann LeCun, Yi Ma, Sergey Levine:
Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning. CoRR abs/2405.10292 (2024) - [i13]Lingkai Kong, Haorui Wang, Wenhao Mu, Yuanqi Du, Yuchen Zhuang, Yifei Zhou, Yue Song, Rongzhi Zhang, Kai Wang, Chao Zhang:
Aligning Large Language Models with Representation Editing: A Control Perspective. CoRR abs/2406.05954 (2024) - [i12]Hao Bai, Yifei Zhou, Mert Cemri, Jiayi Pan, Alane Suhr, Sergey Levine, Aviral Kumar:
DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning. CoRR abs/2406.11896 (2024) - [i11]Yifei Zhou, Sitong Liu:
Enhancing Representation Learning of EEG Data with Masked Autoencoders. CoRR abs/2408.05375 (2024) - [i10]Grace Tang, Swetha Rajkumar, Yifei Zhou, Homer Rich Walke, Sergey Levine, Kuan Fang:
KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data. CoRR abs/2409.14066 (2024) - 2023
- [c16]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. ICCV 2023: 11195-11204 - [c15]Yuda Song, Yifei Zhou, Ayush Sekhari, Drew Bagnell, Akshay Krishnamurthy, Wen Sun:
Hybrid RL: Using both offline and online data can make RL efficient. ICLR 2023 - [c14]Zhengyu Wang, Yujie Zhang, Qi Yang, Yiling Xu, Yifei Zhou, Jun Sun, Shan Liu:
Improving Point Cloud Quality Metrics with Noticeable Possibility Maps. ICME 2023: 360-365 - [c13]Long Chen, Wei Meng, Chang Zhu, Haojie Liu, Yifei Zhou, Quan Liu:
Multi-Objective Trajectory Planning Based on Integrated NSGA-III for Isokinetic Rehabilitation. M2VIP 2023: 1-6 - [c12]Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser Nam Lim:
Test-Time Distribution Normalization for Contrastively Learned Visual-language Models. NeurIPS 2023 - [i9]Yifei Zhou, Juntao Ren, Fengyu Li, Ramin Zabih, Ser-Nam Lim:
Distribution Normalization: An "Effortless" Test-Time Augmentation for Contrastively Learned Visual-language Models. CoRR abs/2302.11084 (2023) - [i8]Yifei Zhou, Ayush Sekhari, Yuda Song, Wen Sun:
Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees. CoRR abs/2311.08384 (2023) - [i7]Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin:
Low Power and Temperature-Resilient Compute-In-Memory Based on Subthreshold-FeFET. CoRR abs/2312.17442 (2023) - 2022
- [j8]Lina Liu, Fangshuo Li, Zhijiong Cheng, Yifei Zhou, Jie Shen, Ruichao Li, Siyu Xiong:
Non-Intrusive Load Monitoring Method Considering the Time-Segmented State Probability. IEEE Access 10: 39627-39637 (2022) - [c11]Yifei Zhou, Conor Hayes:
Graph-Based Diffusion Method for Top-N Recommendation. AICS 2022: 292-304 - [c10]Yifei Zhou, Rashel Fam, Yves Lepage:
Extraction of analogies between sentences on the level of syntax using parse trees. ICCBR Workshops 2022: 30-42 - [c9]Yifei Zhou, Yansong Feng:
Improve Discourse Dependency Parsing with Contextualized Representations. NAACL-HLT (Findings) 2022: 2250-2261 - [c8]Yifei Zhou, Renyu Li, Hayden Housen, Ser Nam Lim:
GAPX: Generalized Autoregressive Paraphrase-Identification X. NeurIPS 2022 - [c7]Hsuan-Wei Lo, Yifei Zhou, Rashel Fam, Yves Lepage:
A Study of Re-generating Sentences Given Similar Sentences that Cover Them on the Level of Form and Meaning. PACLIC 2022: 369-378 - [i6]Shrenik Zinage, Suyash Jadhav, Yifei Zhou, Ilias Bilionis, Peter H. Meckl:
Data Driven Modeling of Turbocharger Turbine using Koopman Operator. CoRR abs/2204.10421 (2022) - [i5]Yifei Zhou, Yansong Feng:
Improve Discourse Dependency Parsing with Contextualized Representations. CoRR abs/2205.02090 (2022) - [i4]Yifei Zhou, Renyu Li, Hayden Housen, Ser-Nam Lim:
GAPX: Generalized Autoregressive Paraphrase-Identification X. CoRR abs/2210.01979 (2022) - [i3]Yujie Zhang, Qi Yang, Yifei Zhou, Xiaozhong Xu, Le Yang, Yiling Xu:
Evaluating Point Cloud Quality via Transformational Complexity. CoRR abs/2210.04671 (2022) - [i2]Yuda Song, Yifei Zhou, Ayush Sekhari, J. Andrew Bagnell, Akshay Krishnamurthy, Wen Sun:
Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient. CoRR abs/2210.06718 (2022) - [i1]Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim:
BT2: Backward-compatible Training with Basis Transformation. CoRR abs/2211.03989 (2022) - 2021
- [j7]Jie Xu, Rui Song, Haoliang Wei, Jinhong Guo, Yifei Zhou, Xiwei Huang:
A fast human action recognition network based on spatio-temporal features. Neurocomputing 441: 350-358 (2021) - [j6]Yifei Zhou, Jing Li, Bo Du, Jun Chang, Zhiquan Ding, Tianqi Qin:
Learning adaptive updating siamese network for visual tracking. Multim. Tools Appl. 80(19): 29849-29873 (2021) - [j5]Jie Xu, Hanyuan Wang, Mingzhu Xu, Fan Yang, Yifei Zhou, Xiaolong Yang:
Feature-Enhanced Occlusion Perception Object Detection for Smart Cities. Wirel. Commun. Mob. Comput. 2021: 5544194:1-5544194:14 (2021) - [c6]Yifei Zhou, Jing Li, Jun Chang, Yafu Xiao, Jun Wan, Hang Sun:
Siamese Guided Anchoring Network for Visual Tracking. IJCNN 2021: 1-8 - 2020
- [j4]Yifei Zhou, Shaoyong Li, Yaping Liu:
Graph-based Method for App Usage Prediction with Attributed Heterogeneous Network Embedding. Future Internet 12(3): 58 (2020) - [j3]Yifei Zhou, Jing Li, Bo Du, Jun Chang, Yafu Xiao:
A target response adaptive correlation filter tracker with spatial attention. Multim. Tools Appl. 79(29-30): 20521-20543 (2020) - [c5]Lina Liu, Ruichao Li, Yifei Zhou, Zhongbing Wan, Jiaju Wang, Tao Wang, Yuhang Zhang, Jie Xu:
ETI-ECF: Edge Computing Framework for Distribution Network Electrical Topology Identification. CSAE 2020: 66:1-66:6 - [c4]Yifei Zhou, Lina Liu, Ruichao Li, Jie Shen, Linhuan Li, Yinkang Luo, Shuang Zhou, Jie Xu:
Distribution Network Electrical Topology Identification Based on Edge Computing and Improved KNN. EITCE 2020: 806-813
2010 – 2019
- 2019
- [j2]Yafu Xiao, Jing Li, Bo Du, Jia Wu, Xuefei Li, Jun Chang, Yifei Zhou:
Robust correlation filter tracking with multi-scale spatial view. Neurocomputing 358: 119-140 (2019) - 2018
- [j1]Rong Gao, Jing Li, Xuefei Li, Chengfang Song, Yifei Zhou:
A personalized point-of-interest recommendation model via fusion of geo-social information. Neurocomputing 273: 159-170 (2018) - [c3]Yafu Xiao, Jing Li, Jun Chang, Yifei Zhou, Wenfan Zhang:
Correlation Filter Tracking with Multiscale Spatial View. IJCNN 2018: 1-6 - 2011
- [c2]Hongbo Zou, Dakai Liang, Jie Zeng, Kun Li, Yifei Zhou:
A Fiber Bragg Grating Vibration Interrogation System Based on a Cascaded Long-Period Fiber Grating. ICAIC (4) 2011: 211-219
2000 – 2009
- 2009
- [c1]Jinpeng Tian, Huichang Shi, Yifei Zhou, WenLiang Guo:
Routing Design of Wireless Sensor Networks in Mine Monitoring System. CSIE (1) 2009: 32-37
Coauthor Index
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last updated on 2024-10-16 20:32 CEST by the dblp team
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