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2020 – today
- 2024
[j24]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): 763-790 (2024)- [j23]Boqing Zhu, Changjian Wang, Kele Xu, Dawei Feng, Zemin Zhou, Xiaoqian Zhu:
Learning incremental audio-visual representation for continual multimodal understanding. Knowl. Based Syst. 304: 112513 (2024) - [j22]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: 106513 (2024) - [j21]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): 2410-2421 (2024) - [j20]Shaoqi Sun, Kele Xu, Dawei Feng, Bo Ding:
Bidirectional Influence and Interaction for Multiagent Reinforcement Learning. IEEE Trans. Artif. Intell. 5(10): 4984-4995 (2024) - [j19]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): 475-479 (2024) - [j18]Sen Yang, Peng Cheng, Yang Liu, Dawei Feng, Shengqi Wang:
Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer. IEEE ACM Trans. Comput. Biol. Bioinform. 21(5): 1287-1298 (2024) - [j17]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): 1181-1193 (2024) - [c38]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: 16678-16686 - [c37]Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng:
Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting. ICASSP 2024: 6655-6659 - [c36]Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang:
Temporal Inconsistency-Based Active Learning. ICASSP 2024: 6690-6694 - [c35]Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li:
Nuclear-Norm Maximization for Low-Rank Updates. ICASSP 2024: 11101-11105 - [c34]Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang:
Iterative Regularized Policy Optimization with Imperfect Demonstrations. ICML 2024 - [c33]Tianjiao Wan, Kele Xu, Long Lan, Zijian Gao, Dawei Feng, Bo Ding, Huaimin Wang:
Tracing Training Progress: Dynamic Influence Based Selection for Active Learning. ACM Multimedia 2024: 9417-9425 - [i15]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 abs/2401.00243 (2024) - [i14]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 abs/2401.05899 (2024) - [i13]Dawei Feng, Yihai Zhang, Zhixuan Xu:
IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining. CoRR abs/2405.09857 (2024) - [i12]Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang:
Online Self-Preferring Language Models. CoRR abs/2405.14103 (2024) - [i11]Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang:
Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models. CoRR abs/2409.09345 (2024) - [i10]Huanxi Liu, Jiaqi Liao, Dawei Feng, Kele Xu, Huaimin Wang:
AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation. CoRR abs/2410.06943 (2024) - 2023
- [j16]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): 2250068:1-2250068:24 (2023) - [c32]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: 1-5 - [c31]Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding:
Progressive Diversifying Policy for Multi-Agent Reinforcement Learning. ICASSP 2023: 1-5 - [c30]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: 1-5 - [c29]Yanqiang Zhang, Dawei Feng, Bo Ding:
Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning. ICONIP (2) 2023: 358-372 - 2022
- [j15]Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li:
Distant context aware text generation from abstract meaning representation. Appl. Intell. 52(2): 1672-1685 (2022) - [j14]Luodie Xie, Hong Shen, Dawei Feng:
Structural-Temporal embedding of large-scale dynamic networks with parallel implementation. Comput. Electr. Eng. 100: 107835 (2022) - [j13]Sen Yang, Yang Liu, Dawei Feng, Dongsheng Li:
Text Generation From Data With Dynamic Planning. IEEE ACM Trans. Audio Speech Lang. Process. 30: 26-34 (2022) - [c28]Hao Wang, Dawei Feng, Bo Ding, Wei Li:
Offline Imitation Learning Using Reward-free Exploratory Data. ACAI 2022: 94:1-94:9 - [c27]Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu:
FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction. ICASSP 2022: 3913-3917 - [c26]Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo:
Pseudo Reward and Action Importance Classification for Sparse Reward Problem. ICMLC 2022: 51-58 - [c25]Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu:
Exploring Policy Diversity in Parallel Actor-Critic Learning. ICTAI 2022: 1196-1203 - [c24]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: 7060-7064 - [c23]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: 7089-7093 - [i9]Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang:
Nuclear Norm Maximization Based Curiosity-Driven Learning. CoRR abs/2205.10484 (2022) - [i8]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 abs/2208.05414 (2022) - [i7]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 abs/2208.11349 (2022) - [i6]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 abs/2208.11361 (2022) - 2021
- [c22]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: 1053-1066 - [c21]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: 423-430 - [c20]Dehong Ma, Bo Ding, Dawei Feng, Hui Liu:
EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series. ICTAI 2021: 609-613 - [i5]Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu:
FINT: Field-aware INTeraction Neural Network For CTR Prediction. CoRR abs/2107.01999 (2021) - 2020
- [j12]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): 1-11 (2020) - [j11]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): 903-916 (2020) - [j10]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): 1726-1744 (2020) - [c19]Haonan Wang, Yiyun Zhang, Dawei Feng, Dongsheng Li, Feng Huang:
BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration. SCC 2020: 60-67 - [c18]Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng:
Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning. HPCC/DSS/SmartCity 2020: 312-319 - [c17]Dingjie He, Dawei Feng, Hongda Jia, Hui Liu:
Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning. ICPADS 2020: 172-179 - [c16]Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu:
Improving Policy Generalization for Teacher-Student Reinforcement Learning. KSEM (2) 2020: 39-47
2010 – 2019
- 2019
- [j9]Dawei Feng, Lijun Yang, Luowei Zhou, Ruijin Liao:
Influential Factors and Correction Method of Furfural Content in Transformer Oil. IEEE Access 7: 53487-53495 (2019) - [j8]Liang Gao, Haibo Mi, Boqing Zhu, Dawei Feng, Yicong Li, Yuxing Peng:
An Adversarial Feature Distillation Method for Audio Classification. IEEE Access 7: 105319-105330 (2019) - [j7]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: 147048-147059 (2019) - [j6]Liang Gao, Xu Lan, Haibo Mi, Dawei Feng, Kele Xu, Yuxing Peng:
Multistructure-Based Collaborative Online Distillation. Entropy 21(4): 357 (2019) - [j5]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): 1551-1563 (2019) - [c15]Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li:
Exploring Pre-trained Language Models for Event Extraction and Generation. ACL (1) 2019: 5284-5294 - [c14]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: 7130-7134 - [c13]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: 6554-6556 - [c12]Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li:
A Distributed Topic Model for Large-Scale Streaming Text. KSEM (2) 2019: 37-48 - [c11]Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li:
Correction to: A Distributed Topic Model for Large-Scale Streaming Text. KSEM (2) 2019 - [c10]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 - [c9]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 - 2018
- [c8]Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li:
Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization. IJCNN 2018: 1-8 - [c7]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: 14-23 - [c6]Qun Zhang, Zhenzhen Li, Dawei Feng, Dongsheng Li, Zhen Huang, Yuxing Peng:
Multitask Learning for Chinese Named Entity Recognition. PCM (2) 2018: 653-662 - [c5]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: 114-123 - [i4]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 abs/1805.07319 (2018) - [i3]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 abs/1806.04422 (2018) - [i2]Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan:
Collaborative Deep Learning Across Multiple Data Centers. CoRR abs/1810.06877 (2018) - 2017
- [i1]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 - 2016
- [c4]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: 1896-1902 - 2015
- [j4]Dawei Feng, Cécile Germain:
Fault Monitoring with Sequential Matrix Factorization. ACM Trans. Auton. Adapt. Syst. 10(3): 20:1-20:25 (2015) - [c3]Lin Gui, Rui Shen, Yue Yu, Dawei Feng, Yuxing Peng, Wei Liu:
DLG-Hypertree: A Low-Diameter, Server-centric Datacenter Network Architecture. CLOUD 2015: 1077-1080 - 2014
- [b1]Dawei Feng:
Efficient end-to-end monitoring for fault management in distributed systems. (La surveillance efficace de bout-à-bout pour la gestion des pannes dans les systèmes distribués). University of Paris-Sud, Orsay, France, 2014 - [j3]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: 1-12 (2014) - [j2]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): 1869-1882 (2014) - [c2]Dawei Feng, Cécile Germain, Julien Nauroy:
Sequential Fault Monitoring. ICCAC 2014: 25-34 - 2013
- [j1]Dawei Feng, Cécile Germain, Tristan Glatard:
Efficient distributed monitoring with active Collaborative Prediction. Future Gener. Comput. Syst. 29(8): 2272-2283 (2013) - 2012
- [c1]Dawei Feng, Cécile Germain-Renaud, Tristan Glatard:
Distributed Monitoring with Collaborative Prediction. CCGRID 2012: 376-383
Coauthor Index
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last updated on 2024-11-20 21:55 CET by the dblp team
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