Publications

Conference Papers:

• Thanh Vinh Vo, Pengfei Wei, Wicher Bergsma, Tze Yun Leong. “Causal Modeling with Stochastic Confounders”. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021, Online. (PDF)
• Pengfei Wei, Yiping Ke, Zhiqiang Xu, and Tze Yun Leong. “Succinct Adaptive Manifold Transfer”. International Confe rence on Information and Knowledge Management (CIKM), 2020, Ireland, Online. (PDF)
• Zhining Liu, Pengfei Wei, Jing Jiang, Wei Cao, Jiang Bian, and Yi Chang. “MESA: Effective Ensemble Imbalanced Learning with MEta SAmpler”. Neural Information Processing Systems (NeurIPS), 2020, Online. (PDF)
• Han Zheng, Pengfei Wei, Jing Jiang, Guodong Long, Qinghua Lu, and Chengqi Zhang. “Cooperative Heterogeneous Deep Reinforcement Learning”. Neural Information Processing Systems (NeurIPS), 2020, Online. (PDF)
• Pengfei Wei, Tze Yun Leong. “Randomized Transferable Machine”. International Conference on Pattern Recognition (ICPR), 2020, Online. (PDF)
• Pengfei Wei, Xinhua Qu, Yiping Ke, Tze Yun Leong, and Yew Soon Ong. “Adaptive Knowledge Transfer based on Transfer Neural Kernel Network”. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020, 1485-1493. (PDF)
• Han Zheng, Jing Jiang, Pengfei Wei, Guodong Long, Chengqi Zhang. “Competitive and Cooperative Heterogeneous Deep Reinforcement Learning”. International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020, 1656-1664. (PDF)
• Pengfei Wei, Yiping Ke. “Knowledge Transfer based on Multiple Manifolds Assumption”. International Conference on Information and Knowledge Management (CIKM), 2019, Beijing, China, 279-287. (PDF)
• Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao. “Learning Disentangled Semantic Representation for Domain Adaptation”, International Joint Conference on Artificial Intelligence (IJCAI), 2019, 2060–2066. (PDF)
• Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew Soon Ong. “Uncluttered Domain Sub-similarity for Transfer Regression”, International Conference on Data Mining (ICDM), 2018, 1314-1319. (PDF)
• Tianbo Li, Pengfei Wei, and Yiping Ke. “Transfer Hawkes Processes with Content Information”, International Conference on Data Mining (ICDM), 2018, 1116-1121. (PDF)
• Pengfei Wei, Ramon Sagarna, Yiping Ke, Yew Soon Ong, Chi Keong Goh. “Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression”, International Conference on Machine Learning (ICML), 2017, 3722-3731. (PDF)
• Pengfei Wei, Yiping Ke, Chi Keong Goh. “Domain Specific Feature Transfer for Hybrid Domain Adaptation”, International Conference on Data Mining (ICDM), 2017, 1027-1032. (PDF)
• Pengfei Wei, Yiping Ke, Chi Keong Goh. “Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation”, International Joint Conference on Artificial Intelligence (IJCAI), 2016, 2189-2195. (PDF)

Journal Papers:

• Pengfei Wei, Yiping Ke, Xinghua Qu, Tze Yun Leong. “Subdomain Adaptation with Manifolds Discrepancy Alignment”, IEEE Transactions on Cybernetics, 2021. (PDF)
• Pengfei Wei, Ramon Sargana, Yiping Ke, Yew Soon Ong. “Easy-but-effective Domain Sub-similarity Learning for Transfer Regression”, IEEE Transactions on Knowledge and Data Engineering, 2020. (PDF)
• Pengfei Wei, Ramon Sargana, Yiping, Ke, Yew Soon Ong. “Practical Multisource Transfer Regression with Source–Target Similarity Captures”, IEEE Transactions on Neural Networks and Learning systems, 2020. (PDF)
• Zhiqiang Xu, Yiping Ke, Xin Cao, Chunlai Zhou, Pengfei Wei, Xin Gao. “A unified linear convergence analysis of k-SVD”, Memetic Computing, 2020. (PDF)
• Xinghua Qu, Zhu Sun, Yew Soon Ong, Abhishek Gupta and Pengfei Wei. “Minimalistic Attacks: How Little it Takes to Fool Deep Reinforcement Learning Policies”. IEEE Transactions on Cognitive and Developmental Systems, 2020. (PDF)
• Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, and Hong Qu. “Multi-source sequential knowledge regression by using transfer RNN units”, Neural Networks 119 (2019): 151-161. (PDF)
• Pengfei Wei, Yiping Ke, Chi Keong Goh. “Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation”, IEEE transactions on neural networks and learning systems 30.5 (2018): 1321-1334. (PDF)
• Pengfei Wei, Yiping Ke, Chi Keong Goh. “A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation”, IEEE Transactions on Knowledge and Data Engineering 31.8 (2018): 1440-1451. (PDF)
• Lijiang Chen, Xia Mao, Pengfei Wei, Yuli Xue, Mitsuru Ishizuka. “Mandarin Emotion Recognition Combining Acoustic and Emotional Point Information”, Applied Intelligence 37.4 (2012): 602-612. (PDF)
• Lijiang Chen, Xia Mao, Pengfei Wei, Angelo Compare. “Speech Emotional Features Extraction Based on Electroglottograph”, Neural computation 25.12 (2013): 3294-3317. (PDF)