612 citations · 691 across the 18 of their papers we have counts for
18 papers
Self-Referential -SAT and the Finite Analogue of Gödel's Incompleteness Theorem
Wen Fang, Xianxian Li, Jun Liu +3
Self-reference and solution independence are central to hard combinatorial instances. We ask whether Boolean \(K\)-SAT can exhibit both, giving a finite propositional analogue of G…
Approximate Nearest Neighbor Search with Graph Range Filters
Qian Tao, Yuntao Jiang, Yongxin Tong +1
Vector databases have become a fundamental component for high-dimensional vector retrieval in artificial intelligence applications. Recent research has focused on filtered approxim…
Can Machines Really See Objects in Images? A Study Based on Syntactic Distance and Visual Self-Referential Instances
Xingyu Peng, Junran Wu, Yue Hou +9
Can a vision model truly see an object, or does it only fit surface-level visual cues? Following Wittgenstein's view that the limits of language are the limits of the world, we vie…
FGIM: a Fast Graph-based Indexes Merging Framework for Approximate Nearest Neighbor Search
Zekai Wu, Jiabao Jin, Peng Cheng +7
As the state-of-the-art methods for high-dimensional data retrieval, Approximate Nearest Neighbor Search (ANNS) approaches with graph-based indexes have attracted increasing attent…
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning
Ziyao Ren, Yan Kang, Lixin Fan +3
SecureBoost is a tree-boosting algorithm leveraging homomorphic encryption to protect data privacy in vertical federated learning setting. It is widely used in fields such as finan…
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
Wei Yuan, Liang Qu, Lizhen Cui +3
Owing to the nature of privacy protection, federated recommender systems (FedRecs) have garnered increasing interest in the realm of on-device recommender systems. However, most ex…
A Data-driven Region Generation Framework for Spatiotemporal Transportation Service Management
Liyue Chen, Jiangyi Fang, Zhe Yu +3
MAUP (modifiable areal unit problem) is a fundamental problem for spatial data management and analysis. As an instantiation of MAUP in online transportation platforms, region gener…
Towards Capacity-Aware Broker Matching: From Recommendation to Assignment
Shuyue Wei, Yongxin Tong, Zimu Zhou +4
Online real estate platforms are gaining increasing popularity, where a central issue is to match brokers with clients for potential housing transactions. Mainstream platforms matc…
p-Meta: Towards On-device Deep Model Adaptation
Zhongnan Qu, Zimu Zhou, Yongxin Tong +1
Data collected by IoT devices are often private and have a large diversity across users. Therefore, learning requires pre-training a model with available representative data sample…
Adaptive Task Planning for Large-Scale Robotized Warehouses
Dingyuan Shi, Yongxin Tong, Zimu Zhou +3
Robotized warehouses are deployed to automatically distribute millions of items brought by the massive logistic orders from e-commerce. A key to automated item distribution is to p…
Transferring Knowledge Distillation for Multilingual Social Event Detection
Jiaqian Ren, Hao Peng, Lei Jiang +6
Recently published graph neural networks (GNNs) show promising performance at social event detection tasks. However, most studies are oriented toward monolingual data in languages…
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms
Xiaocheng Tang, Fan Zhang, Zhiwei Qin +6
Large ride-hailing platforms, such as DiDi, Uber and Lyft, connect tens of thousands of vehicles in a city to millions of ride demands throughout the day, providing great promises…
Pruning-Aware Merging for Efficient Multitask Inference
Xiaoxi He, Dawei Gao, Zimu Zhou +2
Many mobile applications demand selective execution of multiple correlated deep learning inference tasks on resource-constrained platforms. Given a set of deep neural networks, eac…
Federated Machine Learning: Concept and Applications
Qiang Yang, Yang Liu, Tianjian Chen +1
Today's AI still faces two major challenges. One is that in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and securit…
Reducing Uncertainty of Schema Matching via Crowdsourcing with Accuracy Rates
Chen Jason Zhang, Lei Chen, H. V. Jagadish +2
Schema matching is a central challenge for data integration systems. Inspired by the popularity and the success of crowdsourcing platforms, we explore the use of crowdsourcing to r…
Mining Frequent Itemsets over Uncertain Databases
Yongxin Tong, Lei Chen, Yurong Cheng +1
In recent years, due to the wide applications of uncertain data, mining frequent itemsets over uncertain databases has attracted much attention. In uncertain databases, the support…
Whom to Ask? Jury Selection for Decision Making Tasks on Micro-blog Services
Caleb Chen Cao, Jieying She, Yongxin Tong +1
It is universal to see people obtain knowledge on micro-blog services by asking others decision making questions. In this paper, we study the Jury Selection Problem(JSP) by utilizi…
Mining Compressed Repetitive Gapped Sequential Patterns Efficiently
Yongxin Tong, Li Zhao, Dan Yu +2
Mining frequent sequential patterns from sequence databases has been a central research topic in data mining and various efficient mining sequential patterns algorithms have been p…