Dawei Feng

According to our database, Dawei Feng authored at least 76 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.

Zijian Gao, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

IEEE Trans. Artif. Intell., November, 2024

Bidirectional Influence and Interaction for Multiagent Reinforcement Learning.

Shaoqi Sun, Kele Xu, Dawei Feng, Bo Ding

IEEE Trans. Artif. Intell., October, 2024

Transformer in reinforcement learning for decision-making: a survey.

Weilin Yuan, Jiaxing Chen, Shaofei Chen, Dawei Feng, Zhenzhen Hu, Peng Li, Weiwei Zhao

Frontiers Inf. Technol. Electron. Eng., June, 2024

Nuclear Norm Maximization-Based Curiosity-Driven Reinforcement Learning.

Chao Chen, Yuanzhao Zhai, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

IEEE Trans. Artif. Intell., May, 2024

Dynamic Memory-Based Curiosity: A Bootstrap Approach for Exploration in Reinforcement Learning.

Zijian Gao, Yiying Li, Kele Xu, Yuanzhao Zhai, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Enhanced Cross-Modal Transformer Model for Video Semantic Similarity Measurement.

Da Li, Boqing Zhu, Kele Xu, Sen Yang, Dawei Feng, Bo Liu, Huaimin Wang

IEEE Trans. Circuits Syst. II Express Briefs, January, 2024

Exploring the Knowledge of an Outstanding Protein to Protein Interaction Transformer.

Sen Yang, Peng Cheng, Yang Liu, Dawei Feng, Shengqi Wang

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Less confidence, less forgetting: Learning with a humbler teacher in exemplar-free Class-Incremental learning.

Zijian Gao, Kele Xu, Huiping Zhuang, Li Liu, Xinjun Mao, Bo Ding, Dawei Feng, Huaimin Wang

Neural Networks, 2024

Learning incremental audio-visual representation for continual multimodal understanding.

Boqing Zhu, Changjian Wang, Kele Xu, Dawei Feng, Zemin Zhou, Xiaoqian Zhu

Knowl. Based Syst., 2024

Exploring structure diversity in atomic resolution microscopy with graph neural networks.

Zheng Luo, Ming Feng, Zijian Gao, Jinyang Yu, Liang Hu, Tao Wang, Shenao Xue, Shen Zhou, Fangping Ouyang, Dawei Feng, Kele Xu, Shanshan Wang

CoRR, 2024

AutoFeedback: An LLM-based Framework for Efficient and Accurate API Request Generation.

Huanxi Liu, Jiaqi Liao, Dawei Feng, Kele Xu, Huaimin Wang

CoRR, 2024

Enhancing Decision-Making for LLM Agents via Step-Level Q-Value Models.

Yuanzhao Zhai, Tingkai Yang, Kele Xu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

CoRR, 2024

Online Self-Preferring Language Models.

Yuanzhao Zhai, Zhuo Zhang, Kele Xu, Hanyang Peng, Yue Yu, Dawei Feng, Cheng Yang, Bo Ding, Huaimin Wang

CoRR, 2024

IGOT: Information Gain Optimized Tokenizer on Domain Adaptive Pretraining.

Dawei Feng, Yihai Zhang, Zhixuan Xu

CoRR, 2024

Uncertainty-Penalized Reinforcement Learning from Human Feedback with Diverse Reward LoRA Ensembles.

Yuanzhao Zhai, Han Zhang, Yu Lei, Yue Yu, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

CoRR, 2024

Tracing Training Progress: Dynamic Influence Based Selection for Active Learning.

Tianjiao Wan, Kele Xu, Long Lan, Zijian Gao, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Iterative Regularized Policy Optimization with Imperfect Demonstrations.

Xudong Gong, Dawei Feng, Kele Xu, Yuanzhao Zhai, Chengkang Yao, Weijia Wang, Bo Ding, Huaimin Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transformer-Inspired Lightweight Model for Efficient Time Series Forecasting.

Xu Wang, Kele Xu, Ting Yu, Bo Ding, Dawei Feng

Proceedings of the IEEE International Conference on Acoustics, 2024

Temporal Inconsistency-Based Active Learning.

Tianjiao Wan, Yutao Dou, Kele Xu, Zijian Gao, Bo Ding, Dawei Feng, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2024

Nuclear-Norm Maximization for Low-Rank Updates.

Huanxi Liu, Yuanzhao Zhai, Kele Xu, Dawei Feng, Yiying Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization.

Yuanzhao Zhai, Yiying Li, Zijian Gao, Xudong Gong, Kele Xu, Dawei Feng, Bo Ding, Huaimin Wang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

The Impact of IT Capability on Corporate Green Technological Innovation: Evidence from Manufacturing Companies in China.

Yulian Peng, Jianqing Zhou, Miaoxin Lin, Dawei Feng

J. Inf. Knowl. Manag., February, 2023

Action Prediction for Cooperative Exploration in Multi-agent Reinforcement Learning.

Yanqiang Zhang, Dawei Feng, Bo Ding

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Diversifying Message Aggregation in Multi-Agent Communication Via Normalized Tensor Nuclear Norm Regularization.

Yuanzhao Zhai, Kele Xu, Bo Ding, Dawei Feng, Zijian Gao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

Progressive Diversifying Policy for Multi-Agent Reinforcement Learning.

Shaoqi Sun, Yuanzhao Zhai, Kele Xu, Dawei Feng, Bo Ding

Proceedings of the IEEE International Conference on Acoustics, 2023

Complementary Learning System Based Intrinsic Reward in Reinforcement Learning.

Zijian Gao, Kele Xu, Hongda Jia, Tianjiao Wan, Bo Ding, Dawei Feng, Xinjun Mao, Huaimin Wang

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Text Generation From Data With Dynamic Planning.

Sen Yang, Yang Liu, Dawei Feng, Dongsheng Li

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Self-Supervised Exploration via Temporal Inconsistency in Reinforcement Learning.

Zijian Gao, Kele Xu, Hengxing Cai, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

CoRR, 2022

Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration.

Zijian Gao, Kele Xu, Yiying Li, Yuanzhao Zhai, Dawei Feng, Bo Ding, XinJun Mao, Huaimin Wang

CoRR, 2022

Nuclear Norm Maximization Based Curiosity-Driven Learning.

Chao Chen, Zijian Gao, Kele Xu, Sen Yang, Yiying Li, Bo Ding, Dawei Feng, Huaimin Wang

CoRR, 2022

Structural-Temporal embedding of large-scale dynamic networks with parallel implementation.

Luodie Xie, Hong Shen, Dawei Feng

Comput. Electr. Eng., 2022

Distant context aware text generation from abstract meaning representation.

Sen Yang, Dawei Feng, Yang Liu, Dongsheng Li

Appl. Intell., 2022

Masked Modeling-based Audio Representation for ACM Multimedia 2022 Computational Paralinguistics ChallengE.

Kang You, Kele Xu, Boqing Zhu, Ming Feng, Dawei Feng, Bo Liu, Tian Gao, Bo Ding

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multiple Temporal Fusion based Weakly-supervised Pre-training Techniques for Video Categorization.

Xiaochen Cai, Hengxing Cai, Boqing Zhu, Kele Xu, Weiwei Tu, Dawei Feng

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Exploring Policy Diversity in Parallel Actor-Critic Learning.

Yanqiang Zhang, Yuanzhao Zhai, Gongqian Zhou, Bo Ding, Dawei Feng, Songwang Liu

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Pseudo Reward and Action Importance Classification for Sparse Reward Problem.

Qingtong Wu, Dawei Feng, Yuanzhao Zhai, Bo Ding, Jie Luo

Proceedings of the ICMLC 2022: 14th International Conference on Machine Learning and Computing, Guangzhou, China, February 18, 2022

FINT: Field-Aware Interaction Neural Network for Click-Through Rate Prediction.

Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu

Proceedings of the IEEE International Conference on Acoustics, 2022

Offline Imitation Learning Using Reward-free Exploratory Data.

Hao Wang, Dawei Feng, Bo Ding, Wei Li

Proceedings of the 5th International Conference on Algorithms, 2022

2021

FINT: Field-aware INTeraction Neural Network For CTR Prediction.

Zhishan Zhao, Sen Yang, Guohui Liu, Dawei Feng, Kele Xu

CoRR, 2021

EAD: An Efficient Anomaly Detection Algorithm for Multivariate Time Series.

Dehong Ma, Bo Ding, Dawei Feng, Hui Liu

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Accelerating Robot Reinforcement Learning with Samples of Different Simulation Precision.

Yong Zhao, Yuanzhao Zhai, Jie Luo, Dawei Feng, Bo Ding, Zhen Li

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

Diversity and Consistency: Exploring Visual Question-Answer Pair Generation.

Sen Yang, Qingyu Zhou, Dawei Feng, Yang Liu, Chao Li, Yunbo Cao, Dongsheng Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Deep reinforcement learning: a survey.

Haonan Wang, Ning Liu, Yiyun Zhang, Dawei Feng, Feng Huang, Dong Sheng Li, Yiming Zhang

Frontiers Inf. Technol. Electron. Eng., 2020

Learning to select pseudo labels: a semi-supervised method for named entity recognition.

Zhenzhen Li, Dawei Feng, Dongsheng Li, Xicheng Lu

Frontiers Inf. Technol. Electron. Eng., 2020

Collaborative deep learning across multiple data centers.

Haibo Mi, Kele Xu, Dawei Feng, Huaimin Wang, Yiming Zhang, Zibin Zheng, Chuan Chen, Xu Lan

Sci. China Inf. Sci., 2020

Improving Policy Generalization for Teacher-Student Reinforcement Learning.

Xudong Gong, Hongda Jia, Xing Zhou, Dawei Feng, Bo Ding, Jie Xu

Proceedings of the Knowledge Science, Engineering and Management, 2020

Decentralized Exploration of a Structured Environment Based on Multi-agent Deep Reinforcement Learning.

Dingjie He, Dawei Feng, Hongda Jia, Hui Liu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Ranked Communication Channel Confidence for Multi-Agent Reinforcement Learning.

Dongzi Wang, Mingyang Geng, Bo Ding, Dawei Feng

Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

BSE-MAML: Model Agnostic Meta-Reinforcement Learning via Bayesian Structured Exploration.

Haonan Wang, Yiyun Zhang, Dawei Feng, Dongsheng Li, Feng Huang

Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019

Mini-batch cutting plane method for regularized risk minimization.

Menglong Lu, Lin-Bo Qiao, Dawei Feng, Dongsheng Li, Xicheng Lu

Frontiers Inf. Technol. Electron. Eng., 2019

Multistructure-Based Collaborative Online Distillation.

Liang Gao, Xu Lan, Haibo Mi, Dawei Feng, Kele Xu, Yuxing Peng

Entropy, 2019

An Adversarial Feature Distillation Method for Audio Classification.

Liang Gao, Haibo Mi, Boqing Zhu, Dawei Feng, Yicong Li, Yuxing Peng

IEEE Access, 2019

Influential Factors and Correction Method of Furfural Content in Transformer Oil.

Dawei Feng, Lijun Yang, Luowei Zhou, Ruijin Liao

IEEE Access, 2019

AC Surface Flashover and Gas Generation Difference of the Cellulose Insulation Pressboard Immersed in Novel 3-Element Mixed Oil and Mineral Oil.

Xin Chen, Jian Hao, Ruijin Liao, Jian Li, Lijun Yang, Dawei Feng

IEEE Access, 2019

Parallelized Synchronous Multi-agent Deep Reinforcement Learning with Experience Replay Memory.

Xudong Gong, Bo Ding, Jie Xu, Huaimin Wang, Xing Zhou, Dawei Feng

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Invited Paper: Distributed Computing in Cyber-Physical Intelligence: Robotic Perception as an Example.

Bo Ding, Jie Xu, Huaimin Wang, Huaxi Zhang, Hui Liu, Dawei Feng

Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019

Correction to: A Distributed Topic Model for Large-Scale Streaming Text.

Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li

Proceedings of the Knowledge Science, Engineering and Management, 2019

A Distributed Topic Model for Large-Scale Streaming Text.

Yicong Li, Dawei Feng, Menglong Lu, Dongsheng Li

Proceedings of the Knowledge Science, Engineering and Management, 2019

A Quantitative Analysis Platform for PD-L1 Immunohistochemistry based on Point-level Supervision Model.

Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Denoising Convolutional Autoencoder Based B-mode Ultrasound Tongue Image Feature Extraction.

Bo Li, Kele Xu, Dawei Feng, Haibo Mi, Huaimin Wang, Jian Zhu

Proceedings of the IEEE International Conference on Acoustics, 2019

Exploring Pre-trained Language Models for Event Extraction and Generation.

Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, Dongsheng Li

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Collaborative Deep Learning Across Multiple Data Centers.

Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang, Chuan Chen, Zibin Zheng, Xu Lan

CoRR, 2018

Sample Dropout for Audio Scene Classification Using Multi-scale Dense Connected Convolutional Neural Network.

Dawei Feng, Kele Xu, Haibo Mi, Feifan Liao, Yan Zhou

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018

Multitask Learning for Chinese Named Entity Recognition.

Qun Zhang, Zhenzhen Li, Dawei Feng, Dongsheng Li, Zhen Huang, Yuxing Peng

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Mixup-Based Acoustic Scene Classification Using Multi-channel Convolutional Neural Network.

Kele Xu, Dawei Feng, Haibo Mi, Boqing Zhu, Dezhi Wang, Lilun Zhang, Hengxing Cai, Shuwen Liu

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Asynchronous Bundle Method for Large-Scale Regularized Risk Minimization.

Menglong Lu, Dawei Feng, Linbo Qiao, Dawen Ding, Dongsheng Li

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

A Hybrid Model for Trilingual Entity Detection and Linking Tasks at TAC KBP 2017.

Zhenzhen Li, Qun Zhang, Ting Li, Jun Xu, Dawei Feng

Proceedings of the 2017 Text Analysis Conference, 2017

2016

A mobile recommendation system based on logistic regression and Gradient Boosting Decision Trees.

Yaozheng Wang, Dawei Feng, Dongsheng Li, Xinyuan Chen, Yunxiang Zhao, Xin Niu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Fault Monitoring with Sequential Matrix Factorization.

Dawei Feng, Cécile Germain

ACM Trans. Auton. Adapt. Syst., 2015

DLG-Hypertree: A Low-Diameter, Server-centric Datacenter Network Architecture.

Lin Gui, Rui Shen, Yue Yu, Dawei Feng, Yuxing Peng, Wei Liu

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2014

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).

Dawei Feng

PhD thesis, 2014

Exploring Permission-Induced Risk in Android Applications for Malicious Application Detection.

Wei Wang, Xing Wang, Dawei Feng, Jiqiang Liu, Zhen Han, Xiangliang Zhang

IEEE Trans. Inf. Forensics Secur., 2014

Resource allocation with multi-factor node ranking in data center networks.

Xiaoling Li, Huaimin Wang, Bo Ding, Xiaoyong Li, Dawei Feng

Future Gener. Comput. Syst., 2014

Sequential Fault Monitoring.

Dawei Feng, Cécile Germain, Julien Nauroy

Proceedings of the 2014 International Conference on Cloud and Autonomic Computing, 2014

2013

Efficient distributed monitoring with active Collaborative Prediction.

Dawei Feng, Cécile Germain, Tristan Glatard

Future Gener. Comput. Syst., 2013

2012

Distributed Monitoring with Collaborative Prediction.

Dawei Feng, Cécile Germain-Renaud, Tristan Glatard

Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012