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09/09/2023
RecAD: Towards A Unified Library for Recommender Attack and Defense
In recent years, recommender systems have become a ubiquitous part of ou...
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07/20/2023
General Debiasing for Multimodal Sentiment Analysis
Existing work on Multimodal Sentiment Analysis (MSA) utilizes multimodal...
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07/16/2023
STAR-RIS Enhanced Joint Physical Layer Security and Covert Communications for Multi-antenna mmWave Systems
This paper investigates the utilization of simultaneously transmitting a...
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05/23/2023
Robust Instruction Optimization for Large Language Models with Distribution Shifts
Large Language Models have demonstrated significant ability in accomplis...
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05/06/2023
Simultaneously Transmitting and Reflecting RIS (STAR-RIS) Assisted Multi-Antenna Covert Communications: Analysis and Optimization
This paper investigates the multi-antenna covert communications assisted...
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05/06/2023
STAR-RIS Aided Covert Communication
This paper investigates the multi-antenna covert communications assisted...
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04/11/2023
Diffusion Recommender Model
Generative models such as Generative Adversarial Networks (GANs) and Var...
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04/07/2023
Generative Recommendation: Towards Next-generation Recommender Paradigm
Recommender systems typically retrieve items from an item corpus for per...
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03/28/2023
Causal Disentangled Recommendation Against User Preference Shifts
Recommender systems easily face the issue of user preference shifts. Use...
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03/22/2023
Wasserstein Adversarial Examples on Univariant Time Series Data
Adversarial examples are crafted by adding indistinguishable perturbatio...
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01/08/2023
AutoAC: Towards Automated Attribute Completion for Heterogeneous Graph Neural Network
Many real-world data can be modeled as heterogeneous graphs that contain...
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09/10/2022
Causal Intervention for Fairness in Multi-behavior Recommendation
Recommender systems usually learn user interests from various user behav...
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08/26/2022
Causal Inference in Recommender Systems: A Survey and Future Directions
Existing recommender systems extract the user preference based on learni...
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07/24/2022
Counterfactual Reasoning for Out-of-distribution Multimodal Sentiment Analysis
Existing studies on multimodal sentiment analysis heavily rely on textua...
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04/29/2022
User-controllable Recommendation Against Filter Bubbles
Recommender systems usually face the issue of filter bubbles: overrecomm...
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03/08/2022
An Efficient Two-Stage SPARC Decoder for Massive MIMO Unsourced Random Access
In this paper, we study a concatenate coding scheme based on sparse regr...
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12/02/2021
Learning Robust Recommender from Noisy Implicit Feedback
The ubiquity of implicit feedback makes it indispensable for building re...
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07/29/2021
FREE: Feature Refinement for Generalized Zero-Shot Learning
Generalized zero-shot learning (GZSL) has achieved significant progress,...
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05/22/2021
Deconfounded Recommendation for Alleviating Bias Amplification
Recommender systems usually amplify the biases in the data. The model le...
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12/11/2020
Market2Dish: Health-aware Food Recommendation
With the rising incidence of some diseases, such as obesity and diabetes...
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09/21/2020
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue
Recommendation is a prevalent and critical service in information system...
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09/05/2020
Suicide Risk Modeling with Uncertain Diagnostic Records
Motivated by the pressing need for suicide prevention through improving ...
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08/21/2020
CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network
Generative adversarial networks (GANs) have been a popular deep generati...
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06/07/2020