120 citations · 171 across the 30 of their papers we have counts for
31 papers
MAppPrint: Robust and Real-time Mobile App Fingerprinting via Traffic Behavior Correlation Graphs
Tao Duan, Junzhou Zhao, Jianglong Li +5
Mobile apps have become ubiquitous in daily life. Despite communication encryption, app fingerprinting (AF) attacks can still enable adversaries to infer the apps in use by analyzi…
Extracting Training Dialogue Data from Large Language Model based Task Bots
Shuo Zhang, Junzhou Zhao, Junji Hou +3
Large Language Models (LLMs) have been widely adopted to enhance Task-Oriented Dialogue Systems (TODS) by modeling complex language patterns and delivering contextually appropriate…
A Theoretical Analysis of Detecting Large Model-Generated Time Series
Junji Hou, Junzhou Zhao, Shuo Zhang +1
Motivated by the increasing risks of data misuse and fabrication, we investigate the problem of identifying synthetic time series generated by Time-Series Large Models (TSLMs) in t…
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
Nuo Xu, Pinghui Wang, Zi Liang +2
Legal case retrieval (LCR) aims to automatically scour for comparable legal cases based on a given query, which is crucial for offering relevant precedents to support the judgment…
BSODiag: A Global Diagnosis Framework for Batch Servers Outage in Large-scale Cloud Infrastructure Systems
Tao Duan, Runqing Chen, Pinghui Wang +5
Cloud infrastructure is the collective term for all physical devices within cloud systems. Failures within the cloud infrastructure system can severely compromise the stability and…
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
Nuo Xu, Pinghui Wang, Junzhou Zhao +5
Legal Judgment Prediction (LJP) aims to automatically predict a law case's judgment results based on the text description of its facts. In practice, the confusing law articles (or…
Representation Learning of Tangled Key-Value Sequence Data for Early Classification
Tao Duan, Junzhou Zhao, Shuo Zhang +2
Key-value sequence data has become ubiquitous and naturally appears in a variety of real-world applications, ranging from the user-product purchasing sequences in e-commerce, to ne…
Robust Visual Question Answering: Datasets, Methods, and Future Challenges
Jie Ma, Pinghui Wang, Dechen Kong +4
Visual question answering requires a system to provide an accurate natural language answer given an image and a natural language question. However, it is widely recognized that pre…
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models
Shuo Zhang, Liangming Pan, Junzhou Zhao +1
Large language models often necessitate grounding on external knowledge to generate faithful and reliable answers. Yet even with the correct groundings in the reference, they can i…
Multi-Action Dialog Policy Learning from Logged User Feedback
Shuo Zhang, Junzhou Zhao, Pinghui Wang +5
Multi-action dialog policy, which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient sys…
Fast Gumbel-Max Sketch and its Applications
Yuanming Zhang, Pinghui Wang, Yiyan Qi +4
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a non-negative vector) and its variants have been widely used in areas such…
An Effective and Differentially Private Protocol for Secure Distributed Cardinality Estimation
Pinghui Wang, Chengjin Yang, Dongdong Xie +4
Counting the number of distinct elements distributed over multiple data holders is a fundamental problem with many real-world applications ranging from crowd counting to network mo…
Federated Learning over Coupled Graphs
Runze Lei, Pinghui Wang, Junzhou Zhao +6
Graphs are widely used to represent the relations among entities. When one owns the complete data, an entire graph can be easily built, therefore performing analysis on the graph i…
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Shuo Zhang, Junzhou Zhao, Pinghui Wang +3
Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and effici…
Fast Generating A Large Number of Gumbel-Max Variables
Yiyan Qi, Pinghui Wang, Yuanming Zhang +3
The well-known Gumbel-Max Trick for sampling elements from a categorical distribution (or more generally a nonnegative vector) and its variants have been widely used in areas such…
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions
Nuo Xu, Pinghui Wang, Long Chen +2
Predicting interactions between structured entities lies at the core of numerous tasks such as drug regimen and new material design. In recent years, graph neural networks have bec…
Submodular Optimization Over Streams with Inhomogeneous Decays
Junzhou Zhao, Shuo Shang, Pinghui Wang +2
Cardinality constrained submodular function maximization, which aims to select a subset of size at most to maximize a monotone submodular utility function, is the key in many d…
Tracking Influential Nodes in Time-Decaying Dynamic Interaction Networks
Junzhou Zhao, Shuo Shang, Pinghui Wang +2
Identifying influential nodes that can jointly trigger the maximum influence spread in networks is a fundamental problem in many applications such as viral marketing, online advert…
Tracking Triadic Cardinality Distributions for Burst Detection in High-Speed Multigraph Streams
Junzhou Zhao, Pinghui Wang, John C. S. Lui +2
In everyday life, we often observe unusually frequent interactions among people before or during important events, e.g., people send/receive more greetings to/from their friends on…
Sampling Online Social Networks by Random Walk with Indirect Jumps
Junzhou Zhao, Pinghui Wang, John C. S. Lui +2
Random walk-based sampling methods are gaining popularity and importance in characterizing large networks. While powerful, they suffer from the slow mixing problem when the graph i…
Optimizing Node Discovery on Networks: Problem Definitions, Fast Algorithms, and Observations
Junzhou Zhao, Pinghui Wang, John C. S. Lui
Many people dream to become famous, YouTube video makers also wish their videos to have a large audience, and product retailers always hope to expose their products to customers as…
A Fast Sampling Method of Exploring Graphlet Degrees of Large Directed and Undirected Graphs
Pinghui Wang, Xiangliang Zhang, Zhenguo Li +6
Exploring small connected and induced subgraph patterns (CIS patterns, or graphlets) has recently attracted considerable attention. Despite recent efforts on computing the number o…
Moss: A Scalable Tool for Efficiently Sampling and Counting 4- and 5-Node Graphlets
Pinghui Wang, Jing Tao, Junzhou Zhao +1
Counting the frequencies of 3-, 4-, and 5-node undirected motifs (also know as graphlets) is widely used for understanding complex networks such as social and biology networks. How…
Tracking Triadic Cardinality Distributions for Burst Detection in Social Activity Streams
Junzhou Zhao, John C. S. Lui, Don Towsley +2
In everyday life, we often observe unusually frequent interactions among people before or during important events, e.g., we receive/send more greetings from/to our friends on Chris…