Mandarin emotion recognition combining acoustic and emotional point information. - Lijiang Chen; Xia Mao; Pengfei Wei 001; Yu-Li Xue; Mitsuru Ishizuka (Appl. Intell., 2012)

Speech Synthesis Research Based on EGG. - Lijiang Chen; Xia Mao; Pengfei Wei 001; Angelo Compare (GreenCom/iThings/CPScom, 2013)

Speech Emotional Features Extraction Based on Electroglottograph. - Lijiang Chen; Xia Mao; Pengfei Wei 001; Angelo Compare (Neural Comput., 2013)

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IJCAI, 2016)

Domain Specific Feature Transfer for Hybrid Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi-Keong Goh (ICDM, 2017)

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong; Chi-Keong Goh (ICML, 2017)

Transfer Hawkes Processes with Content Information. - Tianbo Li; Pengfei Wei 001; Yiping Ke (ICDM, 2018)

Uncluttered Domain Sub-Similarity Modeling for Transfer Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (ICDM, 2018)

Domain adaptation: methods and applications - Pengfei Wei 001 (2018)

Knowledge Transfer based on Multiple Manifolds Assumption. - Pengfei Wei 001; Yiping Ke (CIKM, 2019)

Learning Disentangled Semantic Representation for Domain Adaptation. - Ruichu Cai; Zijian Li 001; Pengfei Wei 001; Jie Qiao; Kun Zhang 001; Zhifeng Hao (IJCAI, 2019)

Minimalistic Attacks: How Little it Takes to Fool a Deep Reinforcement Learning Policy. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Pengfei Wei 001; Abhishek Gupta 001 (CoRR, 2019)

Multi-source sequential knowledge regression by using transfer RNN units. - Xiurui Xie; Guisong Liu; Qing Cai; Pengfei Wei 001; Hong Qu (Neural Networks, 2019)

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IEEE Trans. Knowl. Data Eng., 2019)

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. - Pengfei Wei 001; Yiping Ke; Chi Keong Goh (IEEE Trans. Neural Networks Learn. Syst., 2019)

Adaptive Knowledge Transfer based on Transfer Neural Kernel Network. - Pengfei Wei 001; Xinghua Qu; Yiping Ke; Tze-Yun Leong; Yew-Soon Ong (AAMAS, 2020)

Competitive and Cooperative Heterogeneous Deep Reinforcement Learning. - Han Zheng; Jing Jiang 002; Pengfei Wei 001; Guodong Long; Chengqi Zhang (AAMAS, 2020)

Succinct Adaptive Manifold Transfer. - Pengfei Wei 001; Yiping Ke; Zhiqiang Xu 003; Tze-Yun Leong (CIKM, 2020)

Randomized Transferable Machine. - Pengfei Wei 001; Tze-Yun Leong (ICPR, 2020)

MESA: Boost Ensemble Imbalanced Learning with MEta-SAmpler. - Zhining Liu 002; Pengfei Wei 001; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (NeurIPS, 2020)

Cooperative Heterogeneous Deep Reinforcement Learning. - Han Zheng; Pengfei Wei 001; Jing Jiang 002; Guodong Long; Qinghua Lu 001; Chengqi Zhang (NeurIPS, 2020)

Hierarchial Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection. - Xinyi Xu; Tiancheng Huang; Pengfei Wei 001; Akshay Narayan 002; Tze-Yun Leong (CoRR, 2020)

A unified linear convergence analysis of k-SVD. - Zhiqiang Xu 003; Yiping Ke; Xin Cao 001; Chunlai Zhou; Pengfei Wei 001; Xin Gao 001 (Memetic Comput., 2020)

Causal Modeling with Stochastic Confounders. - Thanh Vinh Vo; Pengfei Wei 001; Wicher Bergsma; Tze-Yun Leong (AISTATS, 2021)

Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing. - Fei Wu 004; Xiaokai Luo; Qinghua Huang; Pengfei Wei 001; Ying Sun; Xiwei Dong; Zhiyong Wu 006 (ICIP, 2021)

Multi-level graph neural network for text sentiment analysis. - Wenxiong Liao; Bi Zeng; Jianqi Liu; Pengfei Wei 001; Xiaochun Cheng; Weiwen Zhang (Comput. Electr. Eng., 2021)

IMBENS: Ensemble Class-imbalanced Learning in Python. - Zhining Liu 002; Zhepei Wei; Erxin Yu; Qiang Huang; Kai Guo 003; Boyang Yu; Zhaonian Cai; Hangting Ye; Wei Cao 007; Jiang Bian 002; Pengfei Wei 001; Jing Jiang 002; et al. (CoRR, 2021)

Towards Inter-class and Intra-class Imbalance in Class-imbalanced Learning. - Zhining Liu 002; Pengfei Wei 001; Zhepei Wei; Boyang Yu; Jing Jiang 002; Wei Cao 007; Jiang Bian 002; Yi Chang 001 (CoRR, 2021)

Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. - Xinghua Qu; Zhu Sun 001; Yew-Soon Ong; Abhishek Gupta 001; Pengfei Wei 001 (IEEE Trans. Cogn. Dev. Syst., 2021)

Practical Multisource Transfer Regression With Source-Target Similarity Captures. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (IEEE Trans. Neural Networks Learn. Syst., 2021)

Adaptive Multi-Source Causal Inference from Observational Data. - Thanh Vinh Vo; Pengfei Wei 001; Trong Nghia Hoang; Tze-Yun Leong (CIKM, 2022)

Dynamic Transfer Gaussian Process Regression. - Pengfei Wei 001; Xinghua Qu; Wen Song; Zejun Ma (CIKM, 2022)

Language Adaptive Cross-Lingual Speech Representation Learning with Sparse Sharing Sub-Networks. - Yizhou Lu; Mingkun Huang; Xinghua Qu; Pengfei Wei 001; Zejun Ma (ICASSP, 2022)

Importance Prioritized Policy Distillation. - Xinghua Qu; Yew Soon Ong; Abhishek Gupta 001; Pengfei Wei 001; Zhu Sun 001; Zejun Ma (KDD, 2022)

Synthesising Audio Adversarial Examples for Automatic Speech Recognition. - Xinghua Qu; Pengfei Wei 001; Mingyong Gao; Zhu Sun 001; Yew Soon Ong; Zejun Ma (KDD, 2022)

Taxi demand forecasting based on the temporal multimodal information fusion graph neural network. - Wenxiong Liao; Bi Zeng; Jianqi Liu; Pengfei Wei 001; Xiaochun Cheng (Appl. Intell., 2022)

Unsupervised Video Domain Adaptation: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Xiang Yin 006; Zhiqiang Xu 003; Jing Jiang 002; Zejun Ma (CoRR, 2022)

A novel concavity based method for automatic segmentation of touching cells in microfluidic chips. - Zhonghao Zhang; Qiqiang Li; Wen Song; Pengfei Wei 001; Jing Guo (Expert Syst. Appl., 2022)

Semi-supervised multi-view graph convolutional networks with application to webpage classification. - Fei Wu 004; Xiao-Yuan Jing; Pengfei Wei 001; Chao Lan; Yimu Ji 001; Guo-Ping Jiang; Qinghua Huang (Inf. Sci., 2022)

Dual-aligned unsupervised domain adaptation with graph convolutional networks. - Fei Wu 004; Pengfei Wei 001; Guangwei Gao; Chang-Hui Hu 001; Qi Ge; Xiao-Yuan Jing (Multim. Tools Appl., 2022)

Modality and Event Adversarial Networks for Multi-Modal Fake News Detection. - Pengfei Wei 001; Fei Wu 004; Ying Sun; Hong Zhou; Xiao-Yuan Jing (IEEE Signal Process. Lett., 2022)

Subdomain Adaptation With Manifolds Discrepancy Alignment. - Pengfei Wei 001; Yiping Ke; Xinghua Qu; Tze-Yun Leong (IEEE Trans. Cybern., 2022)

Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. - Pengfei Wei 001; Ramón Sagarna; Yiping Ke; Yew-Soon Ong (IEEE Trans. Knowl. Data Eng., 2022)

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning. - Han Zheng; Xufang Luo; Pengfei Wei 001; Xuan Song 001; Dongsheng Li 002; Jing Jiang 002 (AAAI, 2023)

Virtual Try-On with Pose-Garment Keypoints Guided Inpainting. - Zhi Li; Pengfei Wei 001; Xiang Yin 006; Zejun Ma; Alex C. Kot (ICCV, 2023)

Dynamic Job Shop Scheduling via Deep Reinforcement Learning. - Xinjie Liang; Wen Song; Pengfei Wei 001 (ICTAI, 2023)

AudioQR: Deep Neural Audio Watermarks For QR Code. - Xinghua Qu; Xiang Yin 006; Pengfei Wei 001; Lu Lu 015; Zejun Ma (IJCAI, 2023)

S2CD: Self-heuristic Speaker Content Disentanglement for Any-to-Any Voice Conversion. - Pengfei Wei 001; Xiang Yin 006; Chunfeng Wang; Zhonghao Li; Xinghua Qu; Zhiqiang Xu 003; Zejun Ma (INTERSPEECH, 2023)

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective. - Pengfei Wei 001; Lingdong Kong; Xinghua Qu; Yi Ren 006; Zhiqiang Xu 003; Jing Jiang 002; Xiang Yin 006 (NeurIPS, 2023)

Mega-TTS 2: Zero-Shot Text-to-Speech with Arbitrary Length Speech Prompts. - Ziyue Jiang 001; Jinglin Liu; Yi Ren 006; Jinzheng He; Chen Zhang 020; Zhenhui Ye; Pengfei Wei 001; Chunfeng Wang; Xiang Yin 006; Zejun Ma; Zhou Zhao 001 (CoRR, 2023)

SR-R2KAC: Improving Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Pengfei Wei 001; Xiaobin Hu; Peilin Zhao; Xin Cao 001; Chunlai Zhou; Tobias Lasser (CoRR, 2023)

C2G2: Controllable Co-speech Gesture Generation with Latent Diffusion Model. - Longbin Ji; Pengfei Wei 001; Yi Ren 006; Jinglin Liu; Chen Zhang 020; Xiang Yin 006 (CoRR, 2023)

Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. - Pengfei Wei 001; Thanh Vinh Vo; Xinghua Qu; Yew Soon Ong; Zejun Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. - Pengfei Wei 001; Yiping Ke; Yew-Soon Ong; Zejun Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring. - Peng Tang; Zhiqiang Xu 003; Chunlai Zhou; Pengfei Wei 001; Peng Han 005; Xin Cao 001; Tobias Lasser (AAAI, 2024)

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis. - Ziyue Jiang 001; Jinglin Liu; Yi Ren 006; Jinzheng He; Zhenhui Ye; Shengpeng Ji; Qian Yang 006; Chen Zhang 020; Pengfei Wei 001; Chunfeng Wang; Xiang Yin 006; Zejun Ma; et al. (ICLR, 2024)

Graph Domain Adaptation: A Generative View. - Ruichu Cai; Fengzhu Wu; Zijian Li 001; Pengfei Wei 001; Lingling Yi; Kun Zhang 001 (ACM Trans. Knowl. Discov. Data, 2024)