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      <title>Phosformer: An explainable Transformer model for protein kinase-specific phosphorylation predictions</title>
      <link>https://riseai.github.io/publication/phosformer-an-explainable-transformer-model-for-protein-kinase-specific-phosphorylation-predictions/</link>
      <pubDate>Tue, 31 Jan 2023 21:09:38 +0000</pubDate>
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    <item>
      <title>Fair Attribute Completion on Graph with Missing Attributes</title>
      <link>https://riseai.github.io/publication/fair-attribute-completion-on-graph-with-missing-attributes/</link>
      <pubDate>Mon, 23 Jan 2023 21:08:27 +0000</pubDate>
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    <item>
      <title>Better Generative Replay for Continual Federated Learning</title>
      <link>https://riseai.github.io/publication/better-generative-replay-for-continual-federated-learning/</link>
      <pubDate>Mon, 23 Jan 2023 21:07:52 +0000</pubDate>
      <guid>https://riseai.github.io/publication/better-generative-replay-for-continual-federated-learning/</guid>
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    <item>
      <title>Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer</title>
      <link>https://riseai.github.io/publication/progressive-mix-up-for-few-shot-supervised-multi-source-domain-transfer/</link>
      <pubDate>Mon, 23 Jan 2023 21:06:44 +0000</pubDate>
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    <item>
      <title>Estimating Propensity Scores with Deep Adaptive Variable Selection</title>
      <link>https://riseai.github.io/publication/estimating-propensity-scores-with-deep-adaptive-variable-selection/</link>
      <pubDate>Thu, 29 Dec 2022 08:25:09 +0000</pubDate>
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      <title>XDC: Adaptive Cross Domain Short Text Clustering</title>
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      <pubDate>Thu, 29 Dec 2022 08:24:59 +0000</pubDate>
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      <title>Continual Causal Inference with Incremental Observational Data</title>
      <link>https://riseai.github.io/publication/continual-causal-inference-with-incremental-observational-data/</link>
      <pubDate>Mon, 19 Dec 2022 21:20:31 +0000</pubDate>
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    <item>
      <title>Tree Visualizations of Protein Sequence Embedding Space Enable Improved Functional Clustering of Diverse Protein Superfamilies</title>
      <link>https://riseai.github.io/publication/tree-visualizations-of-protein-sequence-embedding-space-enable-improved-functional-clustering-of-diverse-protein-superfamilies/</link>
      <pubDate>Thu, 08 Dec 2022 21:19:52 +0000</pubDate>
      <guid>https://riseai.github.io/publication/tree-visualizations-of-protein-sequence-embedding-space-enable-improved-functional-clustering-of-diverse-protein-superfamilies/</guid>
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    <item>
      <title> Alignment-Free Estimation of Sequence Conservation for Identifying Functional Sites Using Protein Sequence Embeddings</title>
      <link>https://riseai.github.io/publication/alignment-free-estimation-of-sequence-conservation-for-identifying-functional-sites-using-protein-sequence-embeddings/</link>
      <pubDate>Tue, 06 Dec 2022 21:14:00 +0000</pubDate>
      <guid>https://riseai.github.io/publication/alignment-free-estimation-of-sequence-conservation-for-identifying-functional-sites-using-protein-sequence-embeddings/</guid>
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    <item>
      <title>Continual Causal Inference: Challenges and Opportunities</title>
      <link>https://riseai.github.io/publication/continual-causal-inference-challenges-and-opportunities/</link>
      <pubDate>Tue, 29 Nov 2022 21:13:20 +0000</pubDate>
      <guid>https://riseai.github.io/publication/continual-causal-inference-challenges-and-opportunities/</guid>
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    <item>
      <title>Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification</title>
      <link>https://riseai.github.io/publication/pigmentation-based-visual-learning-for-salvelinus-fontinalis-individual-re-identification/</link>
      <pubDate>Tue, 15 Nov 2022 21:10:49 +0000</pubDate>
      <guid>https://riseai.github.io/publication/pigmentation-based-visual-learning-for-salvelinus-fontinalis-individual-re-identification/</guid>
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    <item>
      <title>Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training</title>
      <link>https://riseai.github.io/publication/improving-robustness-of-vision-transformers-via-data-augmented-virtual-adversarial-training/</link>
      <pubDate>Mon, 07 Nov 2022 21:09:40 +0000</pubDate>
      <guid>https://riseai.github.io/publication/improving-robustness-of-vision-transformers-via-data-augmented-virtual-adversarial-training/</guid>
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    <item>
      <title> Unbiasing Scene Graph Generation with Explicit Ontological Adjustment</title>
      <link>https://riseai.github.io/publication/unbiasing-scene-graph-generation-with-explicit-ontological-adjustment/</link>
      <pubDate>Mon, 10 Oct 2022 20:08:08 +0000</pubDate>
      <guid>https://riseai.github.io/publication/unbiasing-scene-graph-generation-with-explicit-ontological-adjustment/</guid>
      <description></description>
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    <item>
      <title> Concept-Level Model Interpretation from the Causal Aspect</title>
      <link>https://riseai.github.io/publication/concept-level-model-interpretation-from-the-causal-aspect/</link>
      <pubDate>Tue, 20 Sep 2022 23:18:55 +0000</pubDate>
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    <item>
      <title>Hierarchical Capsule Prediction Network for Marketing Campaigns Effect</title>
      <link>https://riseai.github.io/publication/hierarchical-capsule-prediction-network-for-marketing-campaigns-effect/</link>
      <pubDate>Wed, 10 Aug 2022 23:10:49 +0000</pubDate>
      <guid>https://riseai.github.io/publication/hierarchical-capsule-prediction-network-for-marketing-campaigns-effect/</guid>
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    <item>
      <title>ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition</title>
      <link>https://riseai.github.io/publication/clinicalradiobert-knowledge-infused-few-shot-learning-for-clinical-notes-named-entity-recognition/</link>
      <pubDate>Mon, 01 Aug 2022 23:07:05 +0000</pubDate>
      <guid>https://riseai.github.io/publication/clinicalradiobert-knowledge-infused-few-shot-learning-for-clinical-notes-named-entity-recognition/</guid>
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    <item>
      <title> Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation</title>
      <link>https://riseai.github.io/publication/pairwise-adversarial-training-for-unsupervised-class-imbalanced-domain-adaptation/</link>
      <pubDate>Tue, 14 Jun 2022 23:18:00 +0000</pubDate>
      <guid>https://riseai.github.io/publication/pairwise-adversarial-training-for-unsupervised-class-imbalanced-domain-adaptation/</guid>
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    <item>
      <title>Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation</title>
      <link>https://riseai.github.io/publication/self-supervision-based-semantic-alignment-for-unsupervised-domain-adaptation/</link>
      <pubDate>Wed, 18 May 2022 23:15:34 +0000</pubDate>
      <guid>https://riseai.github.io/publication/self-supervision-based-semantic-alignment-for-unsupervised-domain-adaptation/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Observational Data</title>
      <link>https://riseai.github.io/publication/learning-infomax-and-domain-independent-representations-for-causal-effect-inference-with-observational-data/</link>
      <pubDate>Wed, 18 May 2022 23:14:36 +0000</pubDate>
      <guid>https://riseai.github.io/publication/learning-infomax-and-domain-independent-representations-for-causal-effect-inference-with-observational-data/</guid>
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    <item>
      <title>Collaborative Attention Mechanism for Multi-Modal Time Series Classification</title>
      <link>https://riseai.github.io/publication/collaborative-attention-mechanism-for-multi-modal-time-series-classification/</link>
      <pubDate>Wed, 18 May 2022 23:14:17 +0000</pubDate>
      <guid>https://riseai.github.io/publication/collaborative-attention-mechanism-for-multi-modal-time-series-classification/</guid>
      <description></description>
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    <item>
      <title>AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition</title>
      <link>https://riseai.github.io/publication/agribert-knowledge-infused-agricultural-language-models-for-matching-food-and-nutrition/</link>
      <pubDate>Mon, 11 Apr 2022 23:16:12 +0000</pubDate>
      <guid>https://riseai.github.io/publication/agribert-knowledge-infused-agricultural-language-models-for-matching-food-and-nutrition/</guid>
      <description></description>
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    <item>
      <title>Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials</title>
      <link>https://riseai.github.io/publication/multi-task-adversarial-learning-for-treatment-effect-estimation-in-basket-trials/</link>
      <pubDate>Wed, 09 Mar 2022 00:12:01 +0000</pubDate>
      <guid>https://riseai.github.io/publication/multi-task-adversarial-learning-for-treatment-effect-estimation-in-basket-trials/</guid>
      <description></description>
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    <item>
      <title>Adversarial Adaptive Cross Domain Face Clustering</title>
      <link>https://riseai.github.io/publication/paper_1/</link>
      <pubDate>Wed, 02 Feb 2022 01:21:21 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_1/</guid>
      <description></description>
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    <item>
      <title>CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization</title>
      <link>https://riseai.github.io/publication/crossmatch-cross-classifier-consistency-regularization-for-open-set-single-domain-generalization/</link>
      <pubDate>Sun, 16 Jan 2022 00:17:08 +0000</pubDate>
      <guid>https://riseai.github.io/publication/crossmatch-cross-classifier-consistency-regularization-for-open-set-single-domain-generalization/</guid>
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    <item>
      <title>Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation</title>
      <link>https://riseai.github.io/publication/paper_4/</link>
      <pubDate>Wed, 27 Oct 2021 10:25:49 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_4/</guid>
      <description></description>
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    <item>
      <title>Self-supervised Universal Domain Adaptation with Adaptive Memory Separation</title>
      <link>https://riseai.github.io/publication/paper_11/</link>
      <pubDate>Tue, 05 Oct 2021 10:25:34 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_11/</guid>
      <description></description>
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    <item>
      <title>An Application in Modeling Lake and River Systems</title>
      <link>https://riseai.github.io/publication/paper_12/</link>
      <pubDate>Tue, 05 Oct 2021 10:25:31 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_12/</guid>
      <description></description>
    </item>
    
    <item>
      <title>A Framework for Knowledge-Derived Query Suggestions</title>
      <link>https://riseai.github.io/publication/paper_15/</link>
      <pubDate>Tue, 05 Oct 2021 10:25:25 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_15/</guid>
      <description></description>
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    <item>
      <title>Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data</title>
      <link>https://riseai.github.io/publication/paper_6/</link>
      <pubDate>Sat, 14 Aug 2021 10:25:45 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_6/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Mapping the glycosyltransferase fold landscape using interpretable deep learning</title>
      <link>https://riseai.github.io/publication/paper_2/</link>
      <pubDate>Tue, 10 Aug 2021 10:25:54 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_2/</guid>
      <description></description>
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    <item>
      <title>Automated Graph Learning via Population Based Self-Tuning GCN</title>
      <link>https://riseai.github.io/publication/paper_9/</link>
      <pubDate>Sun, 11 Jul 2021 10:25:38 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_9/</guid>
      <description></description>
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    <item>
      <title>2.5D Pose Guided Human Image Generation</title>
      <link>https://riseai.github.io/publication/paper_14/</link>
      <pubDate>Tue, 15 Jun 2021 10:25:27 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_14/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Exploiting Auxiliary Data for Offensive Language Detection with Bidirectional Transformers</title>
      <link>https://riseai.github.io/publication/paper_17/</link>
      <pubDate>Tue, 08 Jun 2021 10:25:20 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_17/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Enriching Knowledge Graph Embeddings with External Text</title>
      <link>https://riseai.github.io/publication/paper_7/</link>
      <pubDate>Tue, 01 Jun 2021 10:25:43 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_7/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Correlative Channel-Aware Fusion for Multi-View Time Series Classification</title>
      <link>https://riseai.github.io/publication/paper_8/</link>
      <pubDate>Tue, 18 May 2021 10:25:40 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_8/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation</title>
      <link>https://riseai.github.io/publication/paper_10/</link>
      <pubDate>Wed, 12 May 2021 10:25:36 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_10/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Transferable Feature Learning on Graphs Across Visual Domains</title>
      <link>https://riseai.github.io/publication/paper_13/</link>
      <pubDate>Tue, 09 Mar 2021 11:25:29 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_13/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Socially Aware Multimodal Deep Neural Networks for Fake News Classification</title>
      <link>https://riseai.github.io/publication/paper_16/</link>
      <pubDate>Mon, 08 Mar 2021 11:25:23 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_16/</guid>
      <description></description>
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    <item>
      <title>Knowledge-Guided Article Embedding Refinement for Session-based News Recommendation</title>
      <link>https://riseai.github.io/publication/paper_3/</link>
      <pubDate>Sat, 09 Jan 2021 11:25:51 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_3/</guid>
      <description></description>
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    <item>
      <title>A Survey on Causal Inference</title>
      <link>https://riseai.github.io/publication/paper_5/</link>
      <pubDate>Wed, 02 Dec 2020 11:25:47 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_5/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Quantitative Structure–Mutation–Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction</title>
      <link>https://riseai.github.io/publication/paper_21/</link>
      <pubDate>Thu, 12 Nov 2020 11:25:11 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_21/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Learning Discriminative Virtual Sequences for Time Series Classification</title>
      <link>https://riseai.github.io/publication/paper_26/</link>
      <pubDate>Mon, 19 Oct 2020 10:25:00 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_26/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Matching in Selective and Balanced Representation Space for Treatment Effects Estimation</title>
      <link>https://riseai.github.io/publication/paper_25/</link>
      <pubDate>Fri, 09 Oct 2020 10:25:02 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_25/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Context-aware Graph Embedding for Session-based News Recommendation</title>
      <link>https://riseai.github.io/publication/paper_27/</link>
      <pubDate>Tue, 22 Sep 2020 10:24:58 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_27/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Deep evolutionary analysis reveals the design principles of fold A glycosyltransferases</title>
      <link>https://riseai.github.io/publication/paper_19/</link>
      <pubDate>Tue, 08 Sep 2020 10:25:16 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_19/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Co-embedding of Nodes and Edges with Graph Neural Networks</title>
      <link>https://riseai.github.io/publication/paper_18/</link>
      <pubDate>Tue, 01 Sep 2020 10:25:18 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_18/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Causal Inference Meets Machine Learning</title>
      <link>https://riseai.github.io/publication/paper_24/</link>
      <pubDate>Sun, 23 Aug 2020 10:25:05 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_24/</guid>
      <description></description>
    </item>
    
    <item>
      <title>A Survey on Representation Learning for User Modeling</title>
      <link>https://riseai.github.io/publication/paper_23/</link>
      <pubDate>Wed, 01 Apr 2020 10:25:07 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_23/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Adaptively Similarity-preserved Representation Learning for Individual Treatment Effect Estimation</title>
      <link>https://riseai.github.io/publication/paper_44/</link>
      <pubDate>Thu, 30 Jan 2020 11:24:21 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_44/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery</title>
      <link>https://riseai.github.io/publication/paper_45/</link>
      <pubDate>Thu, 30 Jan 2020 11:24:18 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_45/</guid>
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    <item>
      <title>Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space</title>
      <link>https://riseai.github.io/publication/paper_20/</link>
      <pubDate>Wed, 15 Jan 2020 11:25:14 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_20/</guid>
      <description></description>
    </item>
    
    <item>
      <title>Low-Rank Analysis–Synthesis Dictionary Learning with Adaptively Ordinal Locality</title>
      <link>https://riseai.github.io/publication/paper_31/</link>
      <pubDate>Mon, 04 Nov 2019 11:24:49 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_31/</guid>
      <description></description>
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    <item>
      <title>Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation</title>
      <link>https://riseai.github.io/publication/paper_43/</link>
      <pubDate>Tue, 15 Oct 2019 10:24:23 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_43/</guid>
      <description></description>
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    <item>
      <title>Witness Detection in Multi-Instance Regression and Its Application for Age Estimation</title>
      <link>https://riseai.github.io/publication/paper_32/</link>
      <pubDate>Mon, 07 Oct 2019 10:24:47 +0000</pubDate>
      <guid>https://riseai.github.io/publication/paper_32/</guid>
      <description></description>
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