Zhi Jin

Lightweight semantic service modelling for IoT: an environment-based approach

2016 · International Journal of Embedded Systems

Combining service-oriented architecture (SOA) with internet of things (IoT) has been paid more and more attentions for encapsulating the functionalities of heterogeneous devices as IoT services and enabling things to interact and communicate with each …

Integrating Goal Model into Rule-Based Adaptation

2016

Goal-oriented adaptation provides a powerful mechanism to develop self-adaptive systems, enabling systems to keep satisfying user goals in a dynamically changing environment. The goal-oriented approach normally reduces the adaptation planning as a global optimization process …

Deep code comment generation

2018

During software maintenance, code comments help developers comprehend programs and reduce additional time spent on reading and navigating source code. Unfortunately, these comments are often mismatched, missing or outdated in the software projects. Developers have …

Towards Neural Speaker Modeling in Multi-Party Conversation: The Task, Dataset, and Models

2018

Neural network-based dialog systems are attracting increasing attention in both academia and industry.Recently, researchers have begun to realize the importance of speaker modeling in neural dialog systems, but there lacks established tasks and datasets.In this …

NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming

2019

Employing deep learning algorithms in real-world applications becomes a trend. However, a bottleneck that impedes their further adoption in safety-critical systems is the reliability issue. It is challenging to develop reliable neural network models as …

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding

2025 · arXiv (Cornell University)

Current advanced long-context language models offer great potential for real-world software engineering applications. However, progress in this critical domain remains hampered by a fundamental limitation: the absence of a rigorous evaluation framework for long code …

Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization

2025 · arXiv (Cornell University)

Commenting code is a crucial activity in software development, as it aids in facilitating future maintenance and updates. To enhance the efficiency of writing comments and reduce developers' workload, researchers has proposed various automated code …

Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Path

2015 · arXiv (Cornell University)

Relation classification is an important research arena in the field of natural language processing (NLP). In this paper, we present SDP-LSTM, a novel neural network to classify the relation of two entities in a sentence. …

Natural Language Inference by Tree-Based Convolution and Heuristic Matching

2016

In this paper, we propose the TBCNNpair model to recognize entailment and contradiction between two sentences. In our model, a tree-based convolutional neural network (TBCNN) captures sentencelevel semantics; then heuristic matching layers like concatenation, element-wise …

Sequence to Backward and Forward Sequences: A Content-Introducing\n Approach to Generative Short-Text Conversation

2016 · arXiv (Cornell University)

Using neural networks to generate replies in human-computer dialogue systems\nis attracting increasing attention over the past few years. However, the\nperformance is not satisfactory: the neural network tends to generate safe,\nuniversally relevant replies which carry little …