Dawei Feng

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 63

Top Venues

CoRR

ICASSP

Frontiers Inf. Technol. Electron. Eng.

IEEE Access

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang
Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning. IEEE Trans. Artif. Intell. 5 (5) (2024)
Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang
Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning. IEEE Trans. Emerg. Top. Comput. Intell. 8 (2) (2024)
Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang
Temporal Inconsistency-Based Active Learning. ICASSP (2024)
Dawei Feng, Yihai Zhang, Zhixuan Xu
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining. CoRR (2024)
Da Li, Boqing Zhu, Kele Xu, Sen Yang, Dawei Feng, Bo Liu, Huaimin Wang
Enhanced Cross-Modal Transformer Model for Video Semantic Similarity Measurement. IEEE Trans. Circuits Syst. II Express Briefs 71 (1) (2024)
Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang
Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning. Neural Networks 179 (2024)
Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang
Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles. CoRR (2024)
Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang
Online Self-Preferring Language Models. CoRR (2024)
Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng
Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting. ICASSP (2024)
Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. CoRR (2024)
Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li
Nuclear-Norm Maximization for Low-Rank Updates. ICASSP (2024)
Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization. AAAI (2024)
Weilin Yuan, Jiaxing Chen, Shaofei Chen, Dawei Feng, Zhenzhen Hu, Peng Li, Weiwei Zhao
Transformer in reinforcement learning for decision-making: a survey. Frontiers Inf. Technol. Electron. Eng. 25 (6) (2024)
Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang
Complementary Learning System Based Intrinsic Reward in Reinforcement Learning. ICASSP (2023)
Yanqiang Zhang, Dawei Feng, Bo Ding
Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. ICONIP (2) (2023)
Yulian Peng, Jianqing Zhou, Miaoxin Lin, Dawei Feng
The Impact of IT Capability on Corporate Green Technological Innovation: Evidence from Manufacturing Companies in China. J. Inf. Knowl. Manag. 22 (1) (2023)
Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding
Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. ICASSP (2023)
Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang
Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization. ICASSP (2023)
Luodie Xie, Hong Shen, Dawei Feng
Structural-Temporal embedding of large-scale dynamic networks with parallel implementation. Comput. Electr. Eng. 100 (2022)
Kang You, Kele Xu, Boqing Zhu, Ming Feng, Dawei Feng, Bo Liu, Tian Gao, Bo Ding
Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE. ACM Multimedia (2022)
Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang
Nuclear Norm Maximization Based Curiosity-Driven Learning. CoRR (2022)
Xiaochen Cai, Hengxing Cai, Boqing Zhu, Kele Xu, Weiwei Tu, Dawei Feng
Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization. ACM Multimedia (2022)
Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu
Exploring Policy Diversity in Parallel Actor-Critic Learning. ICTAI (2022)
Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang
Diversifying Message Aggregation in Multi-Agent Communication via Normalized Tensor Nuclear Norm Regularization. CoRR (2022)
Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang
Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning. CoRR (2022)
Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu
FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction. ICASSP (2022)
Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li
Distant context aware text generation from abstract meaning representation. Appl. Intell. 52 (2) (2022)
Hao Wang, Dawei Feng, Bo Ding, Wei Li
Offline Imitation Learning Using Reward-free Exploratory Data. ACAI (2022)
Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration. CoRR (2022)
Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo
Pseudo Reward and Action Importance Classification for Sparse Reward Problem. ICMLC (2022)
Sen Yang, Yang Liu, Dawei Feng, Dongsheng Li
Text Generation From Data With Dynamic Planning. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Sen Yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation. EMNLP (Findings) (2021)
Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu
FINT: Field-aware INTeraction Neural Network For CTR Prediction. CoRR (2021)
Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li
Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision. HPCC/DSS/SmartCity/DependSys (2021)
Dehong Ma, Bo Ding, Dawei Feng, Hui Liu
EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. ICTAI (2021)
Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu
Improving Policy Generalization for Teacher-Student Reinforcement Learning. KSEM (2) (2020)
Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan
Collaborative deep learning across multiple data centers. Sci. China Inf. Sci. 63 (8) (2020)
Haonan Wang, Yiyun Zhang, Dawei Feng, Dongsheng Li, Feng Huang
BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration. SCC (2020)
Dingjie He, Dawei Feng, Hongda Jia, Hui Liu
Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning. ICPADS (2020)
Haonan Wang, Ning Liu, Yiyun Zhang, Dawei Feng, Feng Huang, Dong Sheng Li, Yiming Zhang
Deep reinforcement learning: a survey. Frontiers Inf. Technol. Electron. Eng. 21 (12) (2020)
Zhenzhen Li, Dawei Feng, Dongsheng Li, Xicheng Lu
Learning to select pseudo labels: a semi-supervised method for named entity recognition. Frontiers Inf. Technol. Electron. Eng. 21 (6) (2020)
Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng
Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning. HPCC/DSS/SmartCity (2020)
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li
Exploring Pre-trained Language Models for Event Extraction and Generation. ACL (1) (2019)
Menglong Lu, Lin-Bo Qiao, Dawei Feng, Dongsheng Li, Xicheng Lu
Mini-batch cutting plane method for regularized risk minimization. Frontiers Inf. Technol. Electron. Eng. 20 (11) (2019)
Liang Gao, Haibo Mi, Boqing Zhu, Dawei Feng, Yicong Li, Yuxing Peng
An Adversarial Feature Distillation Method for Audio Classification. IEEE Access 7 (2019)
Xudong Gong, Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Dawei Feng
Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory. SOSE (2019)
Xin Chen, Jian Hao, Ruijin Liao, Jian Li, Lijun Yang, Dawei Feng
AC Surface Flashover and Gas Generation Difference of the Cellulose Insulation Pressboard Immersed in Novel 3-Element Mixed Oil and Mineral Oil. IEEE Access 7 (2019)
Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li
A Distributed Topic Model for Large-Scale Streaming Text. KSEM (2) (2019)
Bo Ding, Jie Xu, Huaimin Wang, Huaxi Zhang, Hui Liu, Dawei Feng
Invited Paper: Distributed Computing in Cyber-Physical Intelligence: Robotic Perception as an Example. SOSE (2019)
Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu
Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction. ICASSP (2019)
Liang Gao, Xu Lan, Haibo Mi, Dawei Feng, Kele Xu, Yuxing Peng
Multistructure-Based Collaborative Online Distillation. Entropy 21 (4) (2019)
Dawei Feng, Lijun Yang, Luowei Zhou, Ruijin Liao
Influential Factors and Correction Method of Furfural Content in Transformer Oil. IEEE Access 7 (2019)
Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun
A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model. IJCAI (2019)
Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li
Correction to: A Distributed Topic Model for Large-Scale Streaming Text. KSEM (2) (2019)
Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan
Collaborative Deep Learning Across Multiple Data Centers. CoRR (2018)
Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu
Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network. PCM (3) (2018)
Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu
Mixup-Based Acoustic Scene Classification Using Multi-Channel Convolutional Neural Network. CoRR (2018)
Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. IJCNN (2018)
Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou
Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network. PKAW (2018)
Qun Zhang, Zhenzhen Li, Dawei Feng, Dongsheng Li, Zhen Huang, Yuxing Peng
Multitask Learning for Chinese Named Entity Recognition. PCM (2) (2018)
Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou
Sample Dropout for Audio Scene Classification Using Multi-Scale Dense Connected Convolutional Neural Network. CoRR (2018)
Zhenzhen Li, Qun Zhang, Ting Li, Jun Xu, Dawei Feng
A Hybrid Model for Trilingual Entity Detection and Linking Tasks at TAC KBP 2017. TAC (2017)
Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu
A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees. IJCNN (2016)
Dawei Feng, Cécile Germain
Fault Monitoring with Sequential Matrix Factorization. ACM Trans. Auton. Adapt. Syst. 10 (3) (2015)
Lin Gui, Rui Shen, Yue Yu, Dawei Feng, Yuxing Peng, Wei Liu
DLG-Hypertree: A Low-Diameter, Server-centric Datacenter Network Architecture. CLOUD (2015)
Dawei Feng, Cécile Germain, Julien Nauroy
Sequential Fault Monitoring. ICCAC (2014)
Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhen Han, Xiangliang Zhang
Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection. IEEE Trans. Inf. Forensics Secur. 9 (11) (2014)
Xiaoling Li, Huaimin Wang, Bo Ding, Xiaoyong Li, Dawei Feng
Resource allocation with multi-factor node ranking in data center networks. Future Gener. Comput. Syst. 32 (2014)
Dawei Feng, Cécile Germain, Tristan Glatard
Efficient distributed monitoring with active Collaborative Prediction. Future Gener. Comput. Syst. 29 (8) (2013)
Dawei Feng, Cécile Germain-Renaud, Tristan Glatard
Distributed Monitoring with Collaborative Prediction. CCGRID (2012)

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Publication Activity (10 Years)

Top Topics

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Dawei Feng