203 citations · 1.1k across the 46 of their papers we have counts for
48 papers
Dual Contrastive Transformer for Hierarchical Preference Modeling in Sequential Recommendation
Chengkai Huang, Shoujin Wang, Xianzhi Wang +1
Sequential recommender systems (SRSs) aim to predict the subsequent items which may interest users via comprehensively modeling users' complex preference embedded in the sequence o…
Modeling Temporal Positive and Negative Excitation for Sequential Recommendation
Chengkai Huang, Shoujin Wang, Xianzhi Wang +1
Sequential recommendation aims to predict the next item which interests users via modeling their interest in items over time. Most of the existing works on sequential recommendatio…
Situated Visualization in Motion for Swimming
Lijie Yao, Anastasia Bezerianos, Romain Vuillemot +1
Competitive sports coverage increasingly includes information on athlete or team statistics and records. Sports video coverage has traditionally embedded representations of this da…
Situated Visualization in Motion for Video Games
Federica Bucchieri, Lijie Yao, Petra Isenberg
We contribute a systematic review of situated visualizations in motion in the context of video games. Video games produce rich dynamic datasets during gameplay that are often visua…
Envisioning Situated Visualizations of Environmental Footprints in an Urban Environment
Yvonne Jansen, Federica Bucchieri, Pierre Dragicevic +7
We present the results of a brainstorming exercise focused on how situated visualizations could be used to better understand the state of the environment and our personal behaviora…
Situated Visualization in Motion
Lijie Yao, Anastasia Bezerianos, Petra Isenberg
We contribute a first design space on visualizations in motion and the design of a pilot study we plan to run in the fall. Visualizations can be useful in contexts where either the…
Reflections on Visualization in Motion for Fitness Trackers
Alaul Islam, Lijie Yao, Anastasia Bezerianos +5
In this paper, we reflect on our past work towards understanding how to design visualizations for fitness trackers that are used in motion. We have coined the term "visualization i…
Distributional Domain-Invariant Preference Matching for Cross-Domain Recommendation
Jing Du, Zesheng Ye, Bin Guo +2
Learning accurate cross-domain preference mappings in the absence of overlapped users/items has presented a persistent challenge in Non-overlapping Cross-domain Recommendation (NOC…
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition
Yao Liu, Gangfeng Cui, Jiahui Luo +2
As a fundamental aspect of human life, two-person interactions contain meaningful information about people's activities, relationships, and social settings. Human action recognitio…
SAM-DA: UAV Tracks Anything at Night with SAM-Powered Domain Adaptation
Changhong Fu, Liangliang Yao, Haobo Zuo +2
Domain adaptation (DA) has demonstrated significant promise for real-time nighttime unmanned aerial vehicle (UAV) tracking. However, the state-of-the-art (SOTA) DA still lacks the…
Distilled Mid-Fusion Transformer Networks for Multi-Modal Human Activity Recognition
Jingcheng Li, Lina Yao, Binghao Li +1
Human Activity Recognition is an important task in many human-computer collaborative scenarios, whilst having various practical applications. Although uni-modal approaches have bee…
Adversarially Contrastive Estimation of Conditional Neural Processes
Zesheng Ye, Jing Du, Lina Yao
Conditional Neural Processes~(CNPs) formulate distributions over functions and generate function observations with exact conditional likelihoods. CNPs, however, have limited expres…
SGDViT: Saliency-Guided Dynamic Vision Transformer for UAV Tracking
Liangliang Yao, Changhong Fu, Sihang Li +2
Vision-based object tracking has boosted extensive autonomous applications for unmanned aerial vehicles (UAVs). However, the dynamic changes in flight maneuver and viewpoint encoun…
Uncertainty-Aware Pedestrian Trajectory Prediction via Distributional Diffusion
Yao Liu, Zesheng Ye, Rui Wang +3
Tremendous efforts have been put forth on predicting pedestrian trajectory with generative models to accommodate uncertainty and multi-modality in human behaviors. An individual's…
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning
Yun Li, Zhe Liu, Saurav Jha +2
Open-World Compositional Zero-Shot Learning (OW-CZSL) aims to recognize new compositions of seen attributes and objects. In OW-CZSL, methods built on the conventional closed-world…
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner, Humphrey Yang, Lining Yao +2
AI-based design tools are proliferating in professional software to assist engineering and industrial designers in complex manufacturing and design tasks. These tools take on more…
Designing Covalent Organic Framework-based Light-driven Microswimmers towards Intraocular Theranostic Applications
Varun Sridhar, Erdost Yildiz, Andrés Rodríguez-Camargo +8
Even micromachines with tailored functionalities enable targeted therapeutic applications in biological environments, their controlled motion in biological media and drug delivery…
The Neural Process Family: Survey, Applications and Perspectives
Saurav Jha, Dong Gong, Xuesong Wang +2
The standard approaches to neural network implementation yield powerful function approximation capabilities but are limited in their abilities to learn meta representations and rea…
Towards Explanation for Unsupervised Graph-Level Representation Learning
Qinghua Zheng, Jihong Wang, Minnan Luo +4
Due to the superior performance of Graph Neural Networks (GNNs) in various domains, there is an increasing interest in the GNN explanation problem "\emph{which fraction of the inpu…
Disentangled and Side-aware Unsupervised Domain Adaptation for Cross-dataset Subjective Tinnitus Diagnosis
Yun Li, Zhe Liu, Lina Yao +2
EEG-based tinnitus classification is a valuable tool for tinnitus diagnosis, research, and treatments. Most current works are limited to a single dataset where data patterns are si…
Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition
Mingfei Han, David Junhao Zhang, Yali Wang +4
Learning spatial-temporal relation among multiple actors is crucial for group activity recognition. Different group activities often show the diversified interactions between actor…
Blue Ceramics: Co-designing Morphing Ceramics for Seagrass Meadow Restoration
Rachel Arredondo, Ofri Dar, Kylon Chiang +2
Seagrass meadows are twice as efficient as forests at capturing and storing carbon, but over the last two decades they have been disappearing due to human activities. We take a nat…
Diversity-boosted Generalization-Specialization Balancing for Zero-shot Learning
Yun Li, Zhe Liu, Xiaojun Chang +2
Zero-Shot Learning (ZSL) aims to transfer classification capability from seen to unseen classes. Recent methods have proved that generalization and specialization are two essential…
Adversarial Robustness of Deep Reinforcement Learning based Dynamic Recommender Systems
Siyu Wang, Yuanjiang Cao, Xiaocong Chen +3
Adversarial attacks, e.g., adversarial perturbations of the input and adversarial samples, pose significant challenges to machine learning and deep learning techniques, including i…