I graduated and no longer maintain this page. Please go to https://phamanhosu.github.io/ for my update on research.

04/June/2018: I have successfully defended my PhD dissertation.

17/April/2018: I received the best paper award at ICASSP, a flagship conference in signal processing.

03/July/2017: I enjoyed a research intern at SRI, on security and AI, fortunately work with Shalini Ghosh and Vinod Yegneswaran.

[11]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Discriminative clustering with cardinality constraints. ICASSP, Calgary-2018. (Oral session) Pdf, Best paper award, BibText

[10]. Anh The Pham, Raviv Raich, Xiaoli Z. Fern, Weng-Keen Wong, and Xinze Guan, Discriminative probabilistic framework for generalized multi-instance learning. ICASSP, Calgary-2018. (Oral session) Pdf, BibText

[9]. Anh The Pham and Raviv Raich, Differential privacy for positive and unlabeled learning with known class priors. SSP, Freiburg-2018. Pdf.

[8]. Anh The Pham, Shalini Ghosh, and Vinod Yegneswaran, Data masking for privacy-sensitive learning. NIPS-TIML, Long Beach-2018. Pdf.

[7]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Dynamic programming for instance annotation in multi-instance multi-label learning. IEEE Trans. on PAMI, 2017. Pdf, Code, BibText

[6]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Semi-supervised learning in the presence of novel class instances. ICASSP, Shanghai-2016. Pdf, Code, BibText

[5]. Anh The Pham, Raviv Raich, Xiaoli Z. Fern, and Jesús Pérez Arriaga, Multi-instance multi-label learning in the presence of novel class instances. ICML, Lille-2015. Pdf, Talk, Code, Supp. material, BibText

[4]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Simultaneous instance annotation and clustering in multi-instance multi-label learning. MLSP, Boston-2015. Pdf, Best paper award, BibText

[3]. Anh The Pham, and Raviv Raich, Kernel-based instance annotation in multi-instance multi-label learning. MLSP, Reims-2014. Pdf, BibText

[2]. Anh The Pham, Raviv Raich, and Xiaoli Z. Fern, Efficient instance annotation in multi-instance learning. SSP, Melbourne-2014. Pdf, BibText

[1]. Anh The Pham, Nguyen Duc Thang, La The Vinh, Young-Koo Lee, and Sungyoung Lee, Deflation-based power iteration clustering. Applied Intelligence, 2013. Pdf, BibText

[12]. Teresa V. Tjahja, Xiaoli Z. Fern, Raviv Raich, and Anh The Pham, Supervised hierarchical segmentation for bird song recording. ICASSP, Queensland-2015. Pdf, BibText

[13]. Tam Nguyen, Raviv Raich, Xiaoli Z. Fern, and Anh The Pham, MIML-AI: Mixed-supervision multi-instance multi-label learning with auxiliary information. MLSP, Tokyo-2017. Pdf, BibText

[14]. Phung Lai, Raviv Raich, Xiaoli Z. Fern, and Anh The Pham, A cool paper submitted to somewhere. a ML conf., 2018. Pdf (Submitted)

1. ICASSP 2018 IBM best student paper award
2. MLSP 2015 Intel best paper award
3. Vietnam Physics Olympiad 2004, 2005, 2006 (4th, 2nd, 2nd prizes respectively)
4. Invited talk at OSU-EECS-Colloquium

1. SRI International, Menlo Park, Summer 2017: on Machine Learning for Privacy.
2. Saltlux, Seoul, Summer 2011: on Distributed Machine Learning (Hadoop and Mahout).

* You are welcome to use our code. Please cite the relevant paper using BibText link next to the code.

1. ORLR-Instance annotation for MIML data, published in SSP'14 and T-PAMI'17, BibText
2. MIMLNC-Instance annotation for MIML data with novel class instances, published in ICML'15, BibText
3. LRSSS-Logistic regression in semi-supervised setting, published in ICASSP'16, BibText

Most of the datasets used in our work can be found in this link

T-PAMI, ICML, AAAI, ICASSP, MLSP, CIKM.