Publications (24)
Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
Jiakai Tang, Sunhao Dai, Zexu Sun +6
In recent years, graph contrastive learning (GCL) has received increasing attention in recommender systems due to its effectiveness in reducing bias caused by data sparsity. Howeve…
DUET: Dual Model Co-Training for Entire Space CTR Prediction
Yutian Xiao, Meng Yuan, Fuzhen Zhuang +9
The pre-ranking stage plays a pivotal role in large-scale recommender systems but faces an intrinsic trade-off between model expressiveness and computational efficiency. Owing to t…
Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
Xiaoxiao Xu, Hao Wu, Wenhui Yu +3
We propose a general model-agnostic Contrastive learning framework with Counterfactual Samples Synthesizing (CCSS) for modeling the monotonicity between the neural network output a…
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu, Zheng Qin
\textbf{G}raph \textbf{C}onvolutional \textbf{N}etwork (\textbf{GCN}) is widely used in graph data learning tasks such as recommendation. However, when facing a large graph, the gr…
Aesthetic-based Clothing Recommendation
Wenhui Yu, Huidi Zhang, Xiangnan He +3
Recently, product images have gained increasing attention in clothing recommendation since the visual appearance of clothing products has a significant impact on consumers' decisio…
Emission and Absorption Lines in Photospheric Radius Expansion Bursts of 4U 182030
Wenhui Yu, Zhaosheng Li, Yuanyue Pan +4
We analyze the emission and absorption lines during photospheric radius expansion (PRE) X-ray bursts from the ultracompact binary 4U 1820--30, observed with the Neutron Star Interi…
NICER views moderate, strong, and extreme photospheric expansion bursts from the ultracompact X-ray binary 4U 182030
Wenhui Yu, Zhaosheng Li, Yongqi Lu +5
Type I X-ray bursts in the ultracompact X-ray binary 4U 182030 are powered by the unstable thermonuclear burning of hydrogen-deficient material. We report the detection of 15 ty…
Spectrum-enhanced Pairwise Learning to Rank
Wenhui Yu, Zheng Qin
To enhance the performance of the recommender system, side information is extensively explored with various features (e.g., visual features and textual features). However, there ar…
IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling
Wenhui Yu, Chao Feng, Yanze Zhang +3
The lifelong user behavior sequence provides abundant information of user preference and gains impressive improvement in the recommendation task, however increases computational co…
Efficient Contour Computation of Group-based Skyline
Wenhui Yu, Jinfei Liu, Jian Pei +3
Skyline, aiming at finding a Pareto optimal subset of points in a multi-dimensional dataset, has gained great interest due to its extensive use for multi-criteria analysis and deci…
Higher Satisfaction, Lower Cost: A Technical Report on How LLMs Revolutionize Meituan's Intelligent Interaction Systems
Xuxin Cheng, Ke Zeng, Zhiquan Cao +65
Enhancing customer experience is essential for business success, particularly as service demands grow in scale and complexity. Generative artificial intelligence and Large Language…
Type I X-ray bursts' spectra and fuel composition from the atoll and transient source 4U 173022
Yongqi Lu, Zhaosheng Li, Yuanyue Pan +8
NICER observed two outbursts from the neutron star low-mass X-ray binary 4U~173022 in 2021 and 2022, which showed a similar spectral evolution in the hardness-intensity diagram.…
Sampler Design for Implicit Feedback Data by Noisy-label Robust Learning
Wenhui Yu, Zheng Qin
Implicit feedback data is extensively explored in recommendation as it is easy to collect and generally applicable. However, predicting users' preference on implicit feedback data…
SOLAR: SVD-Optimized Lifelong Attention for Recommendation
Chenghao Zhang, Chao Feng, Yuanhao Pu +8
Attention mechanism remains the defining operator in Transformers since it provides expressive global credit assignment, yet its time and memory cost in sequence length…
X-ray and radio observations of the AMXP MAXI J1957+032 covering the 2022-2025 outbursts
Zhaosheng Li, Lucien Kuiper, Yuanyue Pan +12
We presented a comprehensive multi-epoch timing and multiwavelength analysis of the accreting millisecond X-ray pulsar MAXI J1957+032, covering two major outbursts in 2022 and 2025…
Twisted-pair unilateral reconnection: A unifying driver for magnetically powered astrophysical bursts
Shu-Ping Yan, Wenhui Yu, Jing Ye +11
Magnetic reconnection in twisted loops has long been invoked as an engine powering energetic transients from black hole accretion to neutron star mergers, yet never directly observ…
A transition from mixed-fuel to pure-helium thermonuclear bursts in Terzan 5 X-3/Swift J174805.3-244637
Lei Zhang, Zhaosheng Li, Yuanyue Pan +5
We presented a detailed analysis of seven thermonuclear X-ray bursts from Terzan 5 X-3/Swift J174805.3-244637, detected by NICER during the source's 2023 outburst. Our analysis rev…
Quenching and recovery of persistent X-ray emission during a superburst in 4U 182030
Zhijiao Peng, Zhaosheng Li, Yuanyue Pan +6
We report the superburst from 4U 1820--30 in 2021 observed by the Monitor of All-sky X-ray Image and Neutron star Interior Composition Explorer (NICER). During the tail of the supe…
Visually-aware Recommendation with Aesthetic Features
Wenhui Yu, Xiangnan He, Jian Pei +4
Visual information plays a critical role in human decision-making process. While recent developments on visually-aware recommender systems have taken the product image into account…
Discovery of a long thermonuclear X-ray burst from the ultra-compact binary 4U 1850087
Yongqi Lu, Zhaosheng Li, Wenhui Yu +2
We report the detection of a long X-ray burst triggered on MJD 60171.65 from the ultra-compact binary 4U 1850087 by the Monitor of All-sky X-ray Image and Neutron Star Interior…
Semi-supervised Collaborative Filtering by Text-enhanced Domain Adaptation
Wenhui Yu, Xiao Lin, Junfeng Ge +2
Data sparsity is an inherent challenge in the recommender systems, where most of the data is collected from the implicit feedbacks of users. This causes two difficulties in designi…
Discovery of a 584.65 Hz Burst Oscillation in the Low Mass X-Ray Binary 4U 1730--22
Zhaosheng Li, Wenhui Yu, Yongqi Lu +2
Type-I X-ray burst oscillations are powered by thermonuclear released on the neutron star (NS) surface in low mass X-ray binaries (LMXBs), where the burst oscillation frequencies a…
Long thermonuclear burst driven thermal-viscous instability of accretion disk: triggering an outburst-like X-ray flare
Wenhui Yu, Zhaosheng Li, Yuanyue Pan +2
We report on NICER and MAXI observations of a long-duration thermonuclear X-ray burst and a subsequent outburst-like X-ray flare from the neutron star low-mass X-ray binary MAXI J0…
RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
Yabin Zhang, Wenhui Yu, Erhan Zhang +4
ChatGPT has achieved remarkable success in natural language understanding. Considering that recommendation is indeed a conversation between users and the system with items as words…