Pengfei Wei

According to our database, Pengfei Wei authored at least 57 papers between 2012 and 2024.

Collaborative distances:

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

2024

Graph Domain Adaptation: A Generative View.

Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang

ACM Trans. Knowl. Discov. Data, April, 2024

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis.

Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Zhenhui Ye, Shengpeng Ji, Qian Yang, Chen Zhang, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring.

Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser

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

2023

Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression.

Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression.

Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model.

Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin

CoRR, 2023

SR-R²KAC: Improving Single Image Defocus Deblurring.

Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser

CoRR, 2023

Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts.

Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Chen Zhang, Zhenhui Ye, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao

CoRR, 2023

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion.

Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

AudioQR: Deep Neural Audio Watermarks For QR Code.

Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Dynamic Job Shop Scheduling via Deep Reinforcement Learning.

Xinjie Liang, Wen Song, Pengfei Wei

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Virtual Try-On with Pose-Garment Keypoints Guided Inpainting.

Zhi Li, Pengfei Wei, Xiang Yin, Zejun Ma, Alex C. Kot

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.

Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression.

Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong

IEEE Trans. Knowl. Data Eng., 2022

Subdomain Adaptation With Manifolds Discrepancy Alignment.

Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong

IEEE Trans. Cybern., 2022

Modality and Event Adversarial Networks for Multi-Modal Fake News Detection.

Pengfei Wei, Fei Wu, Ying Sun, Hong Zhou, Xiao-Yuan Jing

IEEE Signal Process. Lett., 2022

Dual-aligned unsupervised domain adaptation with graph convolutional networks.

Fei Wu, Pengfei Wei, Guangwei Gao, Chang-Hui Hu, Qi Ge, Xiao-Yuan Jing

Multim. Tools Appl., 2022

Semi-supervised multi-view graph convolutional networks with application to webpage classification.

Fei Wu, Xiao-Yuan Jing, Pengfei Wei, Chao Lan, Yimu Ji, Guo-Ping Jiang, Qinghua Huang

Inf. Sci., 2022

A novel concavity based method for automatic segmentation of touching cells in microfluidic chips.

Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo

Expert Syst. Appl., 2022

Unsupervised Video Domain Adaptation: A Disentanglement Perspective.

Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma

CoRR, 2022

Taxi demand forecasting based on the temporal multimodal information fusion graph neural network.

Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng

Appl. Intell., 2022

Synthesising Audio Adversarial Examples for Automatic Speech Recognition.

Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Importance Prioritized Policy Distillation.

Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks.

Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma

Proceedings of the IEEE International Conference on Acoustics, 2022

Dynamic Transfer Gaussian Process Regression.

Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Adaptive Multi-Source Causal Inference from Observational Data.

Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Practical Multisource Transfer Regression With Source-Target Similarity Captures.

Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong

IEEE Trans. Neural Networks Learn. Syst., 2021

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies.

Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei

IEEE Trans. Cogn. Dev. Syst., 2021

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning.

Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

CoRR, 2021

IMBENS: Ensemble Class-imbalanced Learning in Python.

Zhining Liu, Zhepei Wei, Erxin Yu, Qiang Huang, Kai Guo, Boyang Yu, Zhaonian Cai, Hangting Ye, Wei Cao, Jiang Bian, Pengfei Wei, Jing Jiang, Yi Chang

CoRR, 2021

Multi-level graph neural network for text sentiment analysis.

Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng, Weiwen Zhang

Comput. Electr. Eng., 2021

Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing.

Fei Wu, Xiaokai Luo, Qinghua Huang, Pengfei Wei, Ying Sun, Xiwei Dong, Zhiyong Wu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Causal Modeling with Stochastic Confounders.

Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

A unified linear convergence analysis of k-SVD.

Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao

Memetic Comput., 2020

Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection.

Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong

CoRR, 2020

Cooperative Heterogeneous Deep Reinforcement Learning.

Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler.

Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Randomized Transferable Machine.

Pengfei Wei, Tze-Yun Leong

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Succinct Adaptive Manifold Transfer.

Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning.

Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network.

Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

IEEE Trans. Neural Networks Learn. Syst., 2019

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

IEEE Trans. Knowl. Data Eng., 2019

Multi-source sequential knowledge regression by using transfer RNN units.

Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu

Neural Networks, 2019

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy.

Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta

CoRR, 2019

Learning Disentangled Semantic Representation for Domain Adaptation.

Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao

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

Knowledge Transfer based on Multiple Manifolds Assumption.

Pengfei Wei, Yiping Ke

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018

Domain adaptation: methods and applications

Pengfei Wei

PhD thesis, 2018

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression.

Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong

Proceedings of the IEEE International Conference on Data Mining, 2018

Transfer Hawkes Processes with Content Information.

Tianbo Li, Pengfei Wei, Yiping Ke

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.

Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh

Proceedings of the 34th International Conference on Machine Learning, 2017

Domain Specific Feature Transfer for Hybrid Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi-Keong Goh

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.

Pengfei Wei, Yiping Ke, Chi Keong Goh

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2013

Speech Emotional Features Extraction Based on Electroglottograph.

Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare

Neural Comput., 2013

Speech Synthesis Research Based on EGG.

Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare

Proceedings of the 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings) and IEEE Cyber, 2013

2012

Mandarin emotion recognition combining acoustic and emotional point information.

Lijiang Chen, Xia Mao, Pengfei Wei, Yu-Li Xue, Mitsuru Ishizuka

Appl. Intell., 2012