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ORCIDPengfei Wei 0001
Person information
- affiliation: ByteDance AI Lab, Singapore
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Pengfei Wei (aka: Peng-Fei Wei) — disambiguation page
- Pengfei Wei 0002
![[0000-0002-1155-6085]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1155-6085")
— Northwestern Polytechnical University, School of Mechanics, Civil Engineering and Architecture, Xi'an, PR China (and 1 more)
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2020 – today
- 2024
[j19]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. ACM Trans. Knowl. Discov. Data 18(3): 60:1-60:24 (2024)- [c29]Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser:
Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. AAAI 2024: 5145-5153 - [c28]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:
Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis. ICLR 2024 - 2023
- [j18]Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma:
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3862-3876 (2023) - [j17]Pengfei Wei, Yiping Ke, Yew-Soon Ong, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7142-7156 (2023) - [c27]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. AAAI 2023: 11372-11380 - [c26]Zhi Li, Pengfei Wei, Xiang Yin, Zejun Ma, Alex C. Kot:
Virtual Try-On with Pose-Garment Keypoints Guided Inpainting. ICCV 2023: 22731-22740 - [c25]Xinjie Liang, Wen Song, Pengfei Wei:
Dynamic Job Shop Scheduling via Deep Reinforcement Learning. ICTAI 2023: 369-376 - [c24]Xinghua Qu, Xiang Yin, Pengfei Wei, Lu Lu, Zejun Ma:
AudioQR: Deep Neural Audio Watermarks For QR Code. IJCAI 2023: 6192-6200 - [c23]Pengfei Wei, Xiang Yin, Chunfeng Wang, Zhonghao Li, Xinghua Qu, Zhiqiang Xu, Zejun Ma:
S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. INTERSPEECH 2023: 2288-2292 - [c22]Pengfei Wei, Lingdong Kong, Xinghua Qu, Yi Ren, Zhiqiang Xu, Jing Jiang, Xiang Yin:
Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. NeurIPS 2023 - [i16]Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang:
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. CoRR abs/2303.07693 (2023) - [i15]Ziyue Jiang, Jinglin Liu, Yi Ren, Jinzheng He, Chen Zhang, Zhenhui Ye, Pengfei Wei, Chunfeng Wang, Xiang Yin, Zejun Ma, Zhou Zhao:
Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts. CoRR abs/2307.07218 (2023) - [i14]Peng Tang, Zhiqiang Xu, Pengfei Wei, Xiaobin Hu, Peilin Zhao, Xin Cao, Chunlai Zhou, Tobias Lasser:
SR-R2KAC: Improving Single Image Defocus Deblurring. CoRR abs/2307.16242 (2023) - [i13]Longbin Ji, Pengfei Wei, Yi Ren, Jinglin Liu, Chen Zhang, Xiang Yin:
C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model. CoRR abs/2308.15016 (2023) - 2022
- [j16]Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng:
Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. Appl. Intell. 52(10): 12077-12090 (2022) - [j15]Zhonghao Zhang, Qiqiang Li, Wen Song, Pengfei Wei, Jing Guo:
A novel concavity based method for automatic segmentation of touching cells in microfluidic chips. Expert Syst. Appl. 202: 117432 (2022) - [j14]Fei Wu, Xiao-Yuan Jing, Pengfei Wei, Chao Lan, Yimu Ji, Guo-Ping Jiang, Qinghua Huang:
Semi-supervised multi-view graph convolutional networks with application to webpage classification. Inf. Sci. 591: 142-154 (2022) - [j13]Fei Wu, Pengfei Wei, Guangwei Gao, Chang-Hui Hu, Qi Ge, Xiao-Yuan Jing:
Dual-aligned unsupervised domain adaptation with graph convolutional networks. Multim. Tools Appl. 81(11): 14979-14997 (2022) - [j12]Pengfei Wei, Fei Wu, Ying Sun, Hong Zhou, Xiao-Yuan Jing:
Modality and Event Adversarial Networks for Multi-Modal Fake News Detection. IEEE Signal Process. Lett. 29: 1382-1386 (2022) - [j11]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation With Manifolds Discrepancy Alignment. IEEE Trans. Cybern. 52(11): 11698-11708 (2022) - [j10]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34(9): 4161-4171 (2022) - [c21]Thanh Vinh Vo, Pengfei Wei, Trong Nghia Hoang, Tze-Yun Leong:
Adaptive Multi-Source Causal Inference from Observational Data. CIKM 2022: 1975-1985 - [c20]Pengfei Wei, Xinghua Qu, Wen Song, Zejun Ma:
Dynamic Transfer Gaussian Process Regression. CIKM 2022: 2118-2127 - [c19]Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma:
Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. ICASSP 2022: 6882-6886 - [c18]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c17]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [i12]Yizhou Lu, Mingkun Huang, Xinghua Qu, Pengfei Wei, Zejun Ma:
Language Adaptive Cross-lingual Speech Representation Learning with Sparse Sharing Sub-networks. CoRR abs/2203.04583 (2022) - [i11]Pengfei Wei, Lingdong Kong, Xinghua Qu, Xiang Yin, Zhiqiang Xu, Jing Jiang, Zejun Ma:
Unsupervised Video Domain Adaptation: A Disentanglement Perspective. CoRR abs/2208.07365 (2022) - 2021
- [j9]Wenxiong Liao, Bi Zeng, Jianqi Liu, Pengfei Wei, Xiaochun Cheng, Weiwen Zhang:
Multi-level graph neural network for text sentiment analysis. Comput. Electr. Eng. 92: 107096 (2021) - [j8]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j7]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [c16]Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze-Yun Leong:
Causal Modeling with Stochastic Confounders. AISTATS 2021: 3025-3033 - [c15]Fei Wu, Xiaokai Luo, Qinghua Huang, Pengfei Wei, Ying Sun, Xiwei Dong, Zhiyong Wu:
Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing. ICIP 2021: 2743-2747 - [i10]Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang:
Graph Domain Adaptation: A Generative View. CoRR abs/2106.07482 (2021) - [i9]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:
IMBENS: Ensemble Class-imbalanced Learning in Python. CoRR abs/2111.12776 (2021) - [i8]Zhining Liu, Pengfei Wei, Zhepei Wei, Boyang Yu, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. CoRR abs/2111.12791 (2021) - 2020
- [j6]Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao:
A unified linear convergence analysis of k-SVD. Memetic Comput. 12(4): 343-353 (2020) - [c14]Pengfei Wei, Xinghua Qu, Yiping Ke, Tze-Yun Leong, Yew-Soon Ong:
Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. AAMAS 2020: 1485-1493 - [c13]Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang:
Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. AAMAS 2020: 1656-1664 - [c12]Pengfei Wei, Yiping Ke, Zhiqiang Xu, Tze-Yun Leong:
Succinct Adaptive Manifold Transfer. CIKM 2020: 1615-1624 - [c11]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. ICPR 2020: 8711-8718 - [c10]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. NeurIPS 2020 - [c9]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. NeurIPS 2020 - [i7]Pengfei Wei, Yiping Ke, Xinghua Qu, Tze-Yun Leong:
Subdomain Adaptation with Manifolds Discrepancy Alignment. CoRR abs/2005.03229 (2020) - [i6]Xinyi Xu, Tiancheng Huang, Pengfei Wei, Akshay Narayan, Tze-Yun Leong:
Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. CoRR abs/2008.03444 (2020) - [i5]Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, Yi Chang:
MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. CoRR abs/2010.08830 (2020) - [i4]Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, Chengqi Zhang:
Cooperative Heterogeneous Deep Reinforcement Learning. CoRR abs/2011.00791 (2020) - [i3]Pengfei Wei, Tze-Yun Leong:
Randomized Transferable Machine. CoRR abs/2011.13629 (2020) - [i2]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. CoRR abs/2012.11807 (2020)
2010 – 2019
- 2019
- [j5]Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu:
Multi-source sequential knowledge regression by using transfer RNN units. Neural Networks 119: 151-161 (2019) - [j4]Pengfei Wei, Yiping Ke, Chi Keong Goh:
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31(8): 1440-1451 (2019) - [j3]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1321-1334 (2019) - [c8]Pengfei Wei, Yiping Ke:
Knowledge Transfer based on Multiple Manifolds Assumption. CIKM 2019: 279-287 - [c7]Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao:
Learning Disentangled Semantic Representation for Domain Adaptation. IJCAI 2019: 2060-2066 - [i1]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Pengfei Wei, Abhishek Gupta:
Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. CoRR abs/1911.03849 (2019) - 2018
- [b1]Pengfei Wei:
Domain adaptation: methods and applications. Nanyang Technological University, Singapore, 2018 - [c6]Tianbo Li, Pengfei Wei, Yiping Ke:
Transfer Hawkes Processes with Content Information. ICDM 2018: 1116-1121 - [c5]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. ICDM 2018: 1314-1319 - 2017
- [c4]Pengfei Wei, Yiping Ke, Chi-Keong Goh:
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM 2017: 1027-1032 - [c3]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh:
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML 2017: 3722-3731 - 2016
- [c2]Pengfei Wei, Yiping Ke, Chi Keong Goh:
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI 2016: 2189-2195 - 2013
- [j2]Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare:
Speech Emotional Features Extraction Based on Electroglottograph. Neural Comput. 25(12): 3294-3317 (2013) - [c1]Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare:
Speech Synthesis Research Based on EGG. GreenCom/iThings/CPScom 2013: 1799-1803 - 2012
- [j1]Lijiang Chen, Xia Mao, Pengfei Wei, Yu-Li Xue, Mitsuru Ishizuka:
Mandarin emotion recognition combining acoustic and emotional point information. Appl. Intell. 37(4): 602-612 (2012)
Coauthor Index
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