Qian Chen

Simulating Spark Cluster for Deployment Planning, Evaluation and Optimization

2016

As the most active project in the Hadoop ecosystem these days (Zaharia, 2014), Spark is a fast and general purpose engine for large-scale data processing. Thanks to its advanced Directed Acyclic Graph (DAG) execution engine …

Authenticating Aggregate Queries over Set-Valued Data with Confidentiality (Extended Abstract)

2018

With recent advances in data-as-a-service (DaaS) and cloud computing, aggregate query services over set-valued data are becoming widely available for business intelligence that drives decision making. However, as the service provider is often a third-party …

Transfer Learning for Context-Aware Spoken Language Understanding

2019 · 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

Spoken language understanding (SLU) is a key component of task-oriented dialogue systems. SLU parses natural language user utterances into semantic frames. Previous work has shown that incorporating context information significantly improves SLU performance for multi-turn …

T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack

2019 · arXiv (Cornell University)

Adversarial attacks against natural language processing systems, which perform seemingly innocuous modifications to inputs, can induce arbitrary mistakes to the target models. Though raised great concerns, such adversarial attacks can be leveraged to estimate the …

Efficient and Reliable Overlay Networks for Decentralized Federated Learning

2021 · arXiv (Cornell University)

We propose near-optimal overlay networks based on $d$-regular expander graphs to accelerate decentralized federated learning (DFL) and improve its generalization. In DFL a massive number of clients are connected by an overlay network, and they …

Information-Enhanced Hierarchical Self-Attention Network for Multiturn Dialog Generation

2022 · IEEE Transactions on Computational Social Systems

Transformer structure has shown promising results in multiturn dialog generation. The self-attention mechanism can learn global dependencies but ignores local information, limiting the model’s ability to model context information. In this article, we propose an …

DECRL: A Deep Evolutionary Clustering Jointed Temporal Knowledge Graph Representation Learning Approach

2024 · arXiv (Cornell University)

Temporal Knowledge Graph (TKG) representation learning aims to map temporal evolving entities and relations to embedded representations in a continuous low-dimensional vector space. However, existing approaches cannot capture the temporal evolution of high-order correlations in …

The Tug of War Within: Mitigating the Fairness-Privacy Conflicts in Large Language Models

2025

Ensuring awareness of fairness and privacy in Large Language Models (LLMs) is critical.Interestingly, we discover a counterintuitive trade-off phenomenon that enhancing an LLM's privacy awareness through Supervised Fine-Tuning (SFT) methods significantly decreases its fairness awareness …

Enhanced LSTM for Natural Language Inference

2017

Reasoning and inference are central to human and artificial intelligence. Modeling inference in human language is very challenging. With the availability of large annotated data In this paper, we present a new state-of-the-art result, achieving …