Chen Xu

Product design based teaching reform

2016

Purpose product base design should focus on teaching students observation skills, analytical skills and ability to think through the training system, so that students master the basic modeling capabilities and a variety of expression methods …

Toward Secure, Privacy-Preserving, and Interoperable Medical Data Sharing via Blockchain

2019

In the era of cloud computing and big data analysis, how to efficiently share and utilize medical information scattered across various care providers has become a critical problem. This paper proposes a new framework for …

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective

2021

Exception handling is an effective mechanism to guarantee software reliability in modern programming languages. An exception interrupts the program execution and propagates backwards along the call chain until the exception is caught by an exception …

Counterfactual Review-based Recommendation

2021

Incorporating review information into the recommender system has been demonstrated to be an effective method for boosting the recommendation performance. Previous research mainly focus on designing advanced architectures to better profile the users and items. …

Progression Cognition Reinforcement Learning With Prioritized Experience for Multi-Vehicle Pursuit

2024 · IEEE Transactions on Intelligent Transportation Systems

Multi-vehicle pursuit (MVP) such as autonomous police vehicles pursuing suspects is important but very challenging due to its mission and safety-critical nature. While multi-agent reinforcement learning (MARL) algorithms have been proposed for MVP in structured …

Hybrid Evaluation for Occlusion-based Explanations on CNN Inference Queries

2024

Deep CNNs are increasingly prevalent in various application domains such as image processing. To explain a CNN prediction, it is popular to employ occlusion-based explanations (OBE). OBE helps users understand which parts of an image …

Act in Collusion: Distributed Multi-Target Backdoor Attacks in Federated Learning

2024 · arXiv (Cornell University)

Federated learning (FL) is widely used in Internet-of-Things (IoT) systems, but its distributed training process also exposes it to backdoor attacks. Existing studies mainly consider single-target or centralized multi-target settings, while coordinated distributed multi-target attacks …

Scheduling Data Processing Pipelines for Incremental Training on MLP-based Recommendation Models

2025

Multi-layer Perceptron (MLP)-based models have been widely exploited by modern recommendation applications. In practice, industrial recommendation scenarios frequently launch continuous incremental training jobs with only one epoch to capture real-time user features. This kind of …

Beyond Single-Point Judgment: Distribution Alignment for LLM-as-a-Judge

2025 · arXiv (Cornell University)

LLMs have emerged as powerful evaluators in the LLM-as-a-Judge paradigm, offering significant efficiency and flexibility compared to human judgments. However, previous methods primarily rely on single-point evaluations, overlooking the inherent diversity and uncertainty in human …