Publications (36)
Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect
Hao Liu, Yong Ge
Employee turnover refers to an individual's termination of employment from the current organization. It is one of the most persistent challenges for firms, especially those ones in…
Spinful topological phases in acoustic crystals with projective PT symmetry
Yan Meng, Shuxin Lin, Bin-jie Shi +14
For the classification of topological phases of matter, an important consideration is whether a system is spinless or spinful, as these two classes have distinct symmetry algebra t…
Observation of roton-like dispersion relations in acoustic metamaterials
Zhenxiao Zhu, Zhen Gao, Gui-Geng Liu +8
Roton dispersion relations, displaying a pronounced "roton" minimum at finite momentum, were firstly predicted by Landau and have been extensively explored in correlated quantum sy…
Acoustic non-Hermitian skin effect from twisted winding topology
Li Zhang, Yihao Yang, Yong Ge +11
The recently discovered non-Hermitian skin effect (NHSE) manifests the breakdown of current classification of topological phases in energy-nonconservative systems, and necessitates…
Flatbands from Bound States in the Continuum for Orbital Angular Momentum Localization
Weiwei Zhu, Hongyu Zou, Yong Ge +7
A flatband material is a system characterized by energy bands with zero dispersion, allowing for the compact localization of wavefunctions in real space. This compact localization…
TTT4Rec: A Test-Time Training Approach for Rapid Adaption in Sequential Recommendation
Zhaoqi Yang, Yanan Wang, Yong Ge
Sequential recommendation tasks, which aim to predict the next item a user will interact with, typically rely on models trained solely on historical data. However, in real-world sc…
Observation of vortex-string chiral modes in metamaterials
Jingwen Ma, Ding Jia, Li Zhang +7
As a hypothetical topological defect in the geometry of spacetime, vortex strings play a crucial role in shaping the clusters of galaxies that exist today, and their distinct featu…
Explainable Recommender Systems via Resolving Learning Representations
Ninghao Liu, Yong Ge, Li Li +3
Recommender systems play a fundamental role in web applications in filtering massive information and matching user interests. While many efforts have been devoted to developing mor…
Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation
Yanan Wang, Yong Ge, Li Li +2
Reinforcement learning (RL) has shown great promise in optimizing long-term user interest in recommender systems. However, existing RL-based recommendation methods need a large num…
Interactive Reinforcement Learning for Feature Selection with Decision Tree in the Loop
Wei Fan, Kunpeng Liu, Hao Liu +3
We study the problem of balancing effectiveness and efficiency in automated feature selection. After exploring many feature selection methods, we observe a computational dilemma: 1…
Heterogeneous Metric Learning with Content-based Regularization for Software Artifact Retrieval
Liang Wu, Hui Xiong, Liang Du +6
The problem of software artifact retrieval has the goal to effectively locate software artifacts, such as a piece of source code, in a large code repository. This problem has been…
Observation of Embedded Topology in a Trivial Bulk via Projective Crystal Symmetry
Hau Tian Teo, Yang Long, Hong-yu Zou +6
Bulk-boundary correspondence is the foundational principle of topological physics, first established in the quantum Hall effect, where a -dimensional topologically nontrivial bu…
Observation of Dirac hierarchy in three-dimensional acoustic topological insulators
Linyun Yang, Yin Wang, Yan Meng +12
Dirac cones (DCs) play a pivotal role in various unique phenomena ranging from massless electrons in graphene to robust surface states in topological insulators (TIs). Recent studi…
Demonstration of negative refraction induced by synthetic gauge fields
Yihao Yang, Yong Ge, Rujiang Li +7
The phenomenon of negative refraction generally requires negative refractive indices or phase discontinuities, which can be realized using metamaterials or metasurfaces. Recent the…
Binarized Collaborative Filtering with Distilling Graph Convolutional Networks
Haoyu Wang, Defu Lian, Yong Ge
The efficiency of top-K item recommendation based on implicit feedback are vital to recommender systems in real world, but it is very challenging due to the lack of negative sample…
A Context-aware Attention Network for Interactive Question Answering
Huayu Li, Martin Renqiang Min, Yong Ge +1
Neural network based sequence-to-sequence models in an encoder-decoder framework have been successfully applied to solve Question Answering (QA) problems, predicting answers from s…
Interpretable Probability Estimation with LLMs via Shapley Reconstruction
Yang Nan, Qihao Wen, Jiahao Wang +4
Large Language Models (LLMs) demonstrate potential to estimate the probability of uncertain events, by leveraging their extensive knowledge and reasoning capabilities. This ability…
Observation of dislocation-induced topological modes in a three-dimensional acoustic topological insulator
Haoran Xue, Ding Jia, Yong Ge +6
The interplay between real-space topological lattice defects and the reciprocal-space topology of energy bands can give rise to novel phenomena, such as one-dimensional topological…
Observation of disorder-induced boundary localization
Bing-bing Wang, Zheyu Cheng, Hong-yu Zou +7
Bloch wavefunctions in crystals experience localization within the bulk when disorder is introduced, a phenomenon commonly known as Anderson localization. This effect is considered…
Information Coverage Maximization in Social Networks
Zhefeng Wang, Enhong Chen, Qi Liu +3
Social networks, due to their popularity, have been studied extensively these years. A rich body of these studies is related to influence maximization, which aims to select a set o…
Fairness Attacks on Recommender Systems
Yanan Wang, Yong Ge
The unfairness of recommender systems has become a topic of concern due to its significant social and ethical implications. Although existing works have shown the effectiveness of…
A Semi-Supervised and Inductive Embedding Model for Churn Prediction of Large-Scale Mobile Games
Xi Liu, Muhe Xie, Xidao Wen +4
Mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have been developed around the world. One critical cha…
Observation of an acoustic octupole topological insulator
Haoran Xue, Yong Ge, Hong-Xiang Sun +6
The Berry phase associated with energy bands in crystals can lead to quantized quantities, such as the quantization of electric dipole polarization in an insulator, known as a one-…
AutoFS: Automated Feature Selection via Diversity-aware Interactive Reinforcement Learning
Wei Fan, Kunpeng Liu, Hao Liu +3
In this paper, we study the problem of balancing effectiveness and efficiency in automated feature selection. Feature selection is a fundamental intelligence for machine learning a…
Three-dimensional flat Landau levels in an inhomogeneous acoustic crystal
Zheyu Cheng, Yi-jun Guan, Haoran Xue +7
When electrons moving in two-dimensions (2D) are subjected to a strong uniform magnetic field, they form flat bands called Landau levels, which are the basis for the quantum Hall e…
Micro- and Macro-Level Churn Analysis of Large-Scale Mobile Games
Xi Liu, Muhe Xie, Xidao Wen +4
As mobile devices become more and more popular, mobile gaming has emerged as a promising market with billion-dollar revenues. A variety of mobile game platforms and services have b…
DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation
Le Wu, Junwei Li, Peijie Sun +3
Social recommendation has emerged to leverage social connections among users for predicting users' unknown preferences, which could alleviate the data sparsity issue in collaborati…
Vortex states in an acoustic Weyl crystal with a topological lattice defect
Qiang Wang, Yong Ge, Hong-xiang Sun +6
We design and implement a three dimensional acoustic Weyl metamaterial hosting robust modes bound to a one-dimensional topological lattice defect. The modes are related to topologi…
Three-dimensional valley-contrasting sound
Haoran Xue, Yong Ge, Zheyu Cheng +8
Spin and valley are two fundamental properties of electrons in crystals. The similarity between them is well understood in valley-contrasting physics established decades ago in two…
Non-Hermitian edge burst of sound
Hong-Yu Zou, Bing-Bing Wang, Yong Ge +6
Non-Hermitian band topology can give rise to phenomena with no counterparts in Hermitian systems. A well-known example is the non-Hermitian skin effect (NHSE), where Bloch eigensta…
Align Generative Artificial Intelligence with Human Preferences: A Novel Large Language Model Fine-Tuning Method for Online Review Management
Yanan Wang, Yong Ge
Online reviews have played a pivotal role in consumers' decision-making processes. Existing research has highlighted the significant impact of managerial review responses on custom…
Personalized Multimedia Item and Key Frame Recommendation
Le Wu, Lei Chen, Yonghui Yang +4
When recommending or advertising items to users, an emerging trend is to present each multimedia item with a key frame image (e.g., the poster of a movie). As each multimedia item…
Fairness in Survival Analysis: A Novel Conditional Mutual Information Augmentation Approach
Tianyang Xie, Yong Ge
Survival analysis, a vital tool for predicting the time to event, has been used in many domains such as healthcare, criminal justice, and finance. Like classification tasks, surviv…
Topological triply-degenerate point with double Fermi arcs
Yihao Yang, Hong-xiang Sun, Jian-ping Xia +6
Unconventional chiral particles have recently been predicted to appear in certain three dimensional (3D) crystal structures containing three- or more-fold linear band degeneracy po…
Boosting Factorization Machines via Saliency-Guided Mixup
Chenwang Wu, Defu Lian, Yong Ge +3
Factorization machines (FMs) are widely used in recommender systems due to their adaptability and ability to learn from sparse data. However, for the ubiquitous non-interactive fea…
Developing Multi-Task Recommendations with Long-Term Rewards via Policy Distilled Reinforcement Learning
Xi Liu, Li Li, Ping-Chun Hsieh +3
With the explosive growth of online products and content, recommendation techniques have been considered as an effective tool to overcome information overload, improve user experie…