Publications

(2022). Adversarial Adaptive Cross Domain Face Clustering. The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI).

(2021). Self-supervised Universal Domain Adaptation with Adaptive Memory Separation. IEEE International Conference on Data Mining (IEEE ICDM).

(2021). A Framework for Knowledge-Derived Query Suggestions. IEEE International Conference on Big Data (IEEE BigData).

(2021). Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data. The 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

(2021). Automated Graph Learning via Population Based Self-Tuning GCN. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR).

(2021). 2.5D Pose Guided Human Image Generation. ACM International Conference on Multimedia Retrieval (ACM ICMR).

(2021). Enriching Knowledge Graph Embeddings with External Text. The Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL).

(2021). Correlative Channel-Aware Fusion for Multi-View Time Series Classification. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI).

(2021). Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. The 30th ACM International Conference on Information and Knowledge Management (ACM CIKM).

(2021). Transferable Feature Learning on Graphs Across Visual Domains. IEEE International Conference on Multimedia and Expo (IEEE ICME).

(2021). Socially Aware Multimodal Deep Neural Networks for Fake News Classification. IEEE 4th International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR).

(2020). A Survey on Causal Inference. ACM Trans. Knowledge Discovery from Data (TKDD).

(2020). Learning Discriminative Virtual Sequences for Time Series Classification. The 29th ACM International Conference on Information and Knowledge Management (ACM CIKM).

(2020). Matching in Selective and Balanced Representation Space for Treatment Effects Estimation. The 29th ACM International Conference on Information and Knowledge Management (ACM CIKM).

(2020). Context-aware Graph Embedding for Session-based News Recommendation. The 14th ACM Conference on Recommender Systems (ACM RecSys).

(2020). Co-embedding of Nodes and Edges with Graph Neural Networks. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI).

(2020). Causal Inference Meets Machine Learning. The 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

(2020). A Survey on Representation Learning for User Modeling. The 29th International Joint Conference on Artificial Intelligence (IJCAI).

(2019). Training Streaming Factorization Machines with Alternating Least Squares. The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR).

(2019). SADIH: Semantic-Aware DIscrete Hashing. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI).

(2019). Robust Unsupervised Flexible Auto-weighted Local-Coordinate Concept Factorization for Image Clustering. IEEE International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP).

(2019). Convolution with Edge-Node Switching in Graph Neural Networks. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

(2019). On the Estimation of Treatment Effect with Text Covariates. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

(2019). Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning. The 28th International Joint Conference on Artificial Intelligence (IJCAI).

(2019). Towards Interpretable User Modeling via Recurrent Semantics Memory Unit. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

(2019). Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?. The 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD).

(2019). Marginalized Multi-View Ensemble Clustering. IEEE Trans. Neural Networks and Learning Systems (TNNLS).

(2019). Scene Graph Generation with External Knowledge and Image Reconstruction. IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

(2019). Survey of Image and Video Captioning. IEEE Trans. Emerging Topics in Computational Intelligence (T-ETCI).

(2018). Supervised Transfer Learning for Product Information Question Answering. IEEE 17th International Conference on Machine Learning and Applications (ICMLA).

(2018). Representation Learning for Treatment Effect Estimation from Observational Data. The Thirty-second Annual Conference on Neural Information Processing Systems (NeurIPS).

(2018). A Review on Deep Learning Techniques Applied to Answer Selection. The 27th International Conference on Computational Linguistics (COLING).

(2018). Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation. The 15th Pacific Rim International Conference on Artificial Intelligence (PRICAI).

(2018). A Simple End-to-End Question Answering Model for Product Information. ACL Workshop on Economics and Natural Language Processing (ECONLP).

(2018). Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

(2018). Latent Discriminant Subspace Representations for Multi-view Outlier Detection. The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI).

(2018). Early Recognition of 3D Human Actions. ACM Trans. Multimedia Computing Communications and Applications.

(2018). Multi-View Low-Rank Analysis with Applications to Outlier Detection. ACM Trans. Knowledge Discovery from Data (TKDD).

(2017). Robust Multi-Label Semi-Supervised Classification. IEEE International Conference on Big Data (IEEE BigData).

(2017). Multi-View Graph Learning with Adaptive Label Propagation. IEEE International Conference on Big Data (IEEE BigData).

(2017). Matching on Balanced Nonlinear Representations for Treatment Effects Estimation. The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS).

(2017). Person Re-identification by Cross-View Multi-Level Dictionary Learning. IEEE Trans. Pattern Analysis and Machine Intelligence (T-PAMI).

(2017). From Ensemble Clustering to Multi-View Clustering. The 26th International Joint Conference on Artificial Intelligence (IJCAI).

(2017). Infinite Ensemble Clustering. Data Mining and Knowledge Discovery (DMKD).

(2017). SLMOML: Online Metric Learning with Global Convergence. IEEE Trans. Circuits and Systems for Video Technology (T-CSVT).

(2017). Videography-Based Unconstrained Video Analysis. IEEE Trans. Image Processing (T-IP).

(2017). Self-Taught Low-Rank Coding for Visual Learning. IEEE Trans. Neural Networks and Learning Systems (T-NNLS).

(2016). Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach. The 25th ACM International Conference on Information and Knowledge Management (ACM CIKM).

(2016). Robust Spectral Ensemble Clustering. The 25th ACM International Conference on Information and Knowledge Management (ACM CIKM).

(2016). Infinite Ensemble for Image Clustering. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).

(2016). Learning Robust Representations for Data Analytics. The 25th International Joint Conference on Artificial Intelligence (IJCAI).

(2015). Learning Robust and Discriminative Subspace with Low-Rank Constraints. IEEE Trans. Neural Networks and Learning Systems (T-NNLS).