News

01/2024, One paper on explainable machine learning is accepted by Bioinformatics.
12/2023, Three papers (Open-Set Learning, Causal Inference, and LLM for Recommendation) and one student abstract (BadSAM) are accepted at AAAI 2024; One paper on video anomaly detection is accepted at SDM 2024.
11/2023, Our new book on Machine Learning for Causal Inference has been published by Springer. Many thanks to the contributors of this book!
11/2023, I accepted the invitation to serve as Associate Editor of IEEE Trans. Cognitive and Developmental Systems (T-CDS), as Area Chair for IJCAI 2024 and ICML 2024, and as SPC for PAKDD 2024.
10/2023, One paper on semi-supervised single domain generalization is accepted by TMLR.
09/2023, One paper on fish identification is accepted at AJCAI 2023. More information about our project can be found in this news article.
08/2023, Received an NSF Grant to support our research on physics-guided graph neural networks.
08/2023, One paper on the calibration of graph neural networks is accepted at ACM CIKM 2023.
07/2023, One paper is accepted by Medical Physics; One paper is accepted by ACS Nano.
06/2023, I am promoted to Associate Professor with Tenure (effective 08/2023). Many thanks to my students, collaborators, colleagues, and mentors!
06/2023, We gave a tutorial on Recent Advances in Visual Domain Adaptation and Generalization at CVPR 2023.
06/2023, One paper is accepted to The 2023 ICML Workshop on Computational Biology.
05/2023, One paper is accepted by IEEE Transactions on Cognitive and Developmental Systems (TCDS).
04/2023, I am selected to participate in DARPA AI Forward.
04/2023, Two papers on graph-based local clustering and time series forecasting are accepted at IJCAI 2023.
04/2023, We will organize The 11th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG) at ICCV 2023.
04/2023, I accepted the invitation to serve as Area Chair for NeurIPS 2023.
03/2023, One paper on trustworthy representation learning is accepted to the Blue Sky Idea Track of SDM 2023.
02/2023, One paper on video recognition is accepted at CVPR 2023.
01/2023, Three papers on fair graph learning, continual federated learning, and few-shot transfer learning are accepted at ICLR 2023.
01/2023, One paper is accepted by Bioinformatics; One paper is accepted by JMIR AI.
12/2022, Seven papers are accepted at ICDE 2023, SDM 2023, Briefings in Bioinformatics, AAAI-23 Bridge Program, and ICAART 2023.
12/2022, I accepted the invitation to serve as Area Chair for ICML 2023.
11/2022, I accepted the invitation to serve as Area Chair for IJCAI 2023.
10/2022, One paper on scene graph generation is accepted at WACV 2023; Two papers on visual learning are accepted at IEEE BigData 2022.
09/2022, I will co-organize a tutorial (Machine Learning for Causal Inference) and a workshop (AI for Web Ads) at AAAI 2023.
09/2022, Received the Adobe Data Science Research Award.
09/2022, One paper on causality guided model interpretation is accepted by IEEE Trans. Knowledge and Data Engineering (TKDE).
08/2022, Received a HHS R01 Grant (as Co-I; PI: Prof. Andrea Sikora) to develop AI based health IT tools to assist critical care pharmacists.
08/2022, I accepted the invitations to serve as Tutorial Co-Chair and Senior PC member for SDM 2023, and Area Chair for ICLR 2023.
08/2022, Two papers are accepted at ACM CIKM 2022; One paper is accepted at MICCAI-MLMI 2022.
07/2022, Received an NIH U01 Grant (as Co-I; PI: Prof. Natarajan Kannan) to annotate dark ion-channel functions by language modeling.
06/2022, Received an NIH R01 Supplement Grant (as Co-I; PI: Prof. Donglan Zhang) to examine disparities in ADRD using machine learning.
05/2022, One paper on class-imbalanced domain adaptation is accepted at KDD 2022.
05/2022, My PhD student Zhongliang Zhou received the Outstanding Graduate Student Award from CS department.
04/2022, One paper on knowledge-infused agricultural language models is accepted at IJCAI 2022 (AI for Good Track).
03/2022, I accepted the invitation to serve as Area Chair for NeurIPS 2022.
03/2022, Received a Home Depot Gift Grant (PI) to support our research on deep learning and knowledge graph.
03/2022, Received a DoD Grant (PI) through KRI to support our research on visual intelligence.
03/2022, One paper on multi-task adversarial learning and causal inference is accepted at CHIL 2022.
03/2022, Received an USGS Grant (Sole PI) to support our research on individual fish identification.
02/2022, I accepted the invitation to serve as Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (T-NNLS).
02/2022, I received the Best Associate Editor Award from IEEE Transactions on Circuits and Systems for Video Technology.
01/2022, One paper on open-set single domain generalization is accepted at ICLR 2022.
12/2021, I receive the Fred C. Davidson Early Career Scholar Award.
12/2021, Three papers on causal inference, unsupervised domain adaptation, and multi-modal learning are accepted at SDM 2022.
10/2021, Three paper are accepted to IEEE T-NNLS, IEEE BigData 2021, and AAAI 2022 (Student Poster).
08/2021, One paper is accepted by Nature Communications; Three papers are accepted at IEEE ICDM 2021 and ACM CIKM 2021.
08/2021, I gave a keynote talk at the 3rd Workshop on Continual and Multimodal Learning for Internet of Things (Co-located with IJCAI 2021).
05/2021, Two papers are accepted at ACM SIGKDD 2021 and IEEE T-NNLS.
05/2021, My PhD students Saed Rezayi and Ronghang Zhu received the Excellent Graduate Students Research Awards from CS department.
05/2021, I received the Faculty Teaching Excellence Award from the Department of Computer Science.
04/2021, Two papers on self-tuning GCN and pose image generation are accepted at ACM SIGIR 2021 and ACM ICMR 2021.
03/2021, I will co-organize The 10th IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG), at CVPR 2021.
03/2021, Three papers are accepted at NAACL 2021, IEEE ICME 2021, and IEEE MIPR 2021.
02/2021, Received a Cisco Gift Grant (Sole PI) to support our research on fair machine learning.
02/2021, Received an ARO Grant (Sole PI) to support our research on graph reasoning and visual understanding.
12/2020, Our survey paper on causal inference is accepted by ACM TKDD; One paper on multi-view learning is accepted at AAAI 2021.
12/2020, I accepted the invitation to serve as Associate Editor for IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).
12/2020, Received a DoD Grant (Sole PI) to support our research on representation learning and visual understanding.
10/2020, One paper on protein kinase inhibitor response prediction is accepted by BMC Bioinformatics.
09/2020, One paper on co-embedding of nodes and edges with graph neural networks is accepted by IEEE Trans. PAMI.
08/2020, One paper on graph embedding for session-based news recommendation is accepted at ACM RecSys 2020.
08/2020, I accepted the invitations to serve as Senior Program Committee member of IJCAI 2021 and AAAI 2021.
07/2020, Two papers on causal inference and virtual sequence learning are accepted at CIKM 2020.
07/2020, I gave a keynote talk at the International Conference on Neural Computing for Advanced Applications (NCAA 2020).
06/2020, Received a Pilot Grant (Co-PI) from Georgia CTSA to support our research on AI for mobile health.
05/2020, I received the Aharon Katzir Young Investigator Award from the International Neural Network Society (INNS).
05/2020, I received the Faculty Research Excellence Award from the Department of Computer Science.
04/2020, One survey paper on representation learning for user modeling is accepted at IJCAI 2020.
03/2020, One paper that develops machine learning classifiers to predict donor specificity is accepted by eLife.
03/2020, I will co-organize the Second International Workshop on Bringing Semantic Knowledge into Vision and Text Understanding, at IJCAI 2020.
03/2020, I accepted the invitation to serve as Program Committee member of NeurIPS 2020, ECCV 2020, UAI 2020, and EMNLP 2020.
02/2020, I accepted the invitation to serve as Area Chair of ICPR 2020.
12/2019, I received the M. G. Michael Award for Sciences from the Franklin College of Arts and Sciences, UGA.
11/2019, I accepted the invitation to serve as Senior Program Committee member of IJCAI 2020 and PC member of ICML 2020 and KDD 2020.
10/2019, I accepted the invitation to serve as Program Committee member of CVPR 2020, ECAI 2020, PAKDD 2020, and IEEE MIPR 2020.
09/2019, I will co-organize a tutorial on representation learning for causal inference at AAAI 2020.
09/2019, Three journal papers are accepted by IEEE Trans. KDE, IEEE Systems Journal, and Multimedia Tools and Applications.
08/08/2019, Two papers on low-rank coding and causal inference are accepted at ICDM 2019 (Acceptance Rate: 18.5%).
07/25/2019, I gave an invited talk on graph neural networks at the Adobe Data Science Symposium Webinar.
07/17/2019, I accepted the invitation to serve as Program Committee member of ICLR 2020.
07/17/2019, One paper on analysis–synthesis dictionary learning is accepted at Neural Networks.
07/02/2019, One paper on robust subspace discovery is accepted at ACM MM 2019.
06/21/2019, I accepted the invitation to serve as Senior Program Committee member of AAAI 2020.
05/10/2019, Three papers on graph neural networks, causal inference, and dictionary learning are accepted at IJCAI 2019 (Acceptance Rate: 17.9%).
04/29/2019, Two papers on sequence modeling and adversarial training are accepted at KDD 2019 (Acceptance Rate: 14%).
04/14/2019, One short paper on factorization machines is accepted at SIGIR 2019 (Acceptance Rate: 24.4%).
04/01/2019, I gave an invited talk on machine learning and deep learning at the College of Education, The University of Iowa, IA.
03/16/2019, I accepted the invitation to serve as Program Committee member of IEEE BigData 2019.
03/11/2019, One paper on multi-view ensemble clustering is accepted by IEEE Trans. NNLS.
03/06/2019, I received the Adobe Data Science Research Award.
03/06/2019, I accepted the invitation to serve as Program Committee member of UAI 2019.
03/05/2019, I am elevated to be Senior Member of IEEE.
02/24/2019, One paper on scene graph generation is accepted at CVPR 2019 (Acceptance Rate: 25.2%).
02/22/2019, I accepted the invitation to serve as Program Committee member of BMVC 2019.
02/20/2019, I will co-organize the First International Workshop on Bringing Semantic Knowledge into Vision and Text Understanding, at IJCAI 2019.
02/02/2019, I accepted the invitation to serve as Program Committee member of NeurIPS 2019.
02/01/2019, One paper is accepted to ICASSP 2019.
02/01/2019, I accepted the invitation to serve as Program Committee member of ICCV 2019.
01/15/2019, I gave an invited talk on deep learning at the Kennesaw State University, Marietta, GA.
01/13/2019, I accepted the invitation to serve as Program Committee member of KDD 2019.
12/21/2018, One paper on spatial-temporal deep networks is accepted at SDM 2019 (Acceptance Rate: 22.7%).
12/19/2018, I accepted the invitation to serve as Program Committee member of IJCAI 2019.
12/16/2018, One survey paper on image and video captioning is accepted by IEEE Trans. ETCI.
12/15/2018, I will co-organize the CVPR 2019 Workshop on Analysis and Modeling of Faces and Gestures (AMFG).
10/31/2018, One paper on fast discrete hashing is accepted at AAAI 2019 (Acceptance Rate: 16.2%).
10/25/2018, I accepted the invitation to serve as Program Committee member of ICML 2019.
10/22/2018, One paper on multi-domain user behavior modeling is accepted at WSDM 2019 (Acceptance Rate: 16.4%).
10/16/2018, One paper on unsupervised feature extraction is accepted by IEEE Trans. KDE.
10/08/2018, One paper on transfer learning and question answering is accepted at ICMLA 2018.
09/28/2018, Received Google Cloud Platform Education Grant.
09/24/2018, One paper on person re-identification (with Kai Li, Prof. Allan Ding, Prof. Yun Fu) is accepted by IEEE Trans. NNLS.
09/21/2018, I accepted the invitation to serve as an Associate Editor of IEEE Computational Intelligence Magazine (IEEE CIM).
09/17/2018, Received a GPU donation from NVIDIA.
09/15/2018, One paper on ensemble clustering (with Zhiqiang Tao, Prof. Hongfu Liu, Prof. Allan Ding, Prof. Yun Fu) is accepted by ACM Trans. KDD.
09/04/2018, One paper on deep representation learning and treatment effect estimation (with Liuyi Yao, Dr. Yaliang Li, Mengdi Huai, Prof. Jing Gao, Prof. Aidong Zhang) is accepted at NIPS 2018. (Acceptance Rate: 20.8%)
08/29/2018, Received a gift funding from Adobe Research.
08/20/2018, One paper on multi-label classification (with Prof. Allan Ding, Prof. Ming Shao, Prof. Yun Fu) is accepted at ICBK 2018.
08/14/2018, I accepted the invitation to serve as Program Committee member of ICLR 2019.
07/29/2018, I accepted the invitation to serve as Program Committee member of IEEE MIPR 2019.
07/11/2018, I will be joining the Department of Computer Science at University of Georgia as a Tenure-Track Assistant Professor from Fall 2018.
07/03/2018, One paper on domain adaptation (with Prof. Allan Ding, Prof. Ming Shao, and Prof. Yun Fu) is accepted at ECCV 2018.
06/05/2018, I accepted the invitation to serve as Program Committee member of IEEE BigData 2018.
06/01/2018, One paper is accepted at PRICAI 2018.
05/23/2018, I accepted the invitation to serve as Senior Program Committee (SPC) member of AAAI 2019.
05/23/2018, One paper is accepted at ACL ECONLP 2018.
05/16/2018, One survey paper is accepted at COLING 2018.
05/04/2018, I accepted the invitation to serve as Program Committee member of NIPS 2018.
04/10/2018, Three papers are accepted at ICPR 2018.
03/29/2018, I accepted the invitation to serve as Program Committee member of ACM MM 2018.
03/26/2018, I accepted the invitation to serve as Program Committee member of IEEE ICTAI 2018.
12/27/2017, I accepted the invitation to serve as Program Committee member of KDD 2018.
12/25/2017, I accepted the invitation to serve as an Associate Editor of Journal of Electronic Imaging (JEI).
12/15/2017, I accepted the invitation to serve as an Editorial Board member of Neurocomputing.
11/25/2017, I accepted the invitation to serve as Program Committee member of IJCAI 2018.
11/23/2017, One paper on outlier detection is accepted by ACM Trans. Knowledge Discovery from Data (TKDD).
11/22/2017, One paper on action recognition is accepted by IEEE Trans. Image Processing (T-IP).
11/08/2017, Two papers (on multi-view outlier detection and person re-identification) and One poster (on student response prediction) are accepted at AAAI 2018.
10/12/2017, Two papers on multi-label classification and multi-view graph learning are accepted at IEEE BigData 2017.
10/04/2017, I accepted the invitation to serve as an Associate Editor of IET Image Processing.
09/28/2017, One paper on person re-identification is accepted by IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI).
09/20/2017, I accepted the invitation to serve as an Editorial Board member of Neural Computing and Applications.
09/04/2017, One paper on causal inference is accepted at NIPS 2017.
08/09/2017, One paper on action prediction is accepted by ACM Trans. Multimedia Computing Communications and Applications (TOMM).
08/07/2017, One paper on ensemble clustering is accepted by Data Mining and Knowledge Discovery (DMKD).
06/27/2017, One paper on metric learning is accepted by IEEE Trans. Circuits and Systems for Video Technology (T-CSVT).
06/05/2017, I joined the BigData Experience Lab at Adobe Research as a Data Scientist.
05/05/2017, I received my Ph.D. degree in Computer Engineering from the Northeastern University, Boston, MA.