Jun Ma

Finger printing on the web

2017

Nowadays, companies such as Google [1] and Facebook [2] are present on most websites either through advertising services or through social plugins. They follow users around the web collecting information to create unique user profiles. …

RefNet: A Reference-aware Network for Background Based Conversation

2019 · arXiv (Cornell University)

Existing conversational systems tend to generate generic responses. Recently, Background Based Conversations (BBCs) have been introduced to address this issue. Here, the generated responses are grounded in some background information. The proposed methods for BBCs …

Seeing the wood for the trees: Insights into the complexity of developing pre-service teachers’ digital competencies for future teaching

2019 · ASCILITE Publications

Developing digital competencies is a critical component in pre-service teacher training for future practice. However, this is a complex process which includes a range of strategies, and little is known about how they should be …

Multi-modal Navigation Interaction Recommendation with a Driver Demand-Based Knowledge Graph

2021

The personalized human-vehicle interaction system provides the driver with a way of interacting that suits them, allowing them to interact with the car system without interfering with normal driving activities, which is essential for driving …

Incremental Few-Shot Object Detection for Robotics

2022 · 2022 International Conference on Robotics and Automation (ICRA)

Incremental few-shot learning is highly expected for practical robotics applications. On one hand, robot is desired to learn new tasks quickly and flexibly using only few annotated training samples; on the other hand, such new …

Towards an Efficient and Robust Adversarial Attack Against Neural Text Classifier

2022 · International Journal of Pattern Recognition and Artificial Intelligence

Adversarial attack is a serious threat to neural network-based natural language processing applications. Adversarial attack uses tiny well-crafted perturbations to mislead neural networks. While existing adversarial text attacks can achieve good attack effects, they still …

Span-based joint entity and relation extraction augmented with sequence tagging mechanism

2022 · arXiv (Cornell University)

Span-based joint extraction simultaneously conducts named entity recognition (NER) and relation extraction (RE) in text span form. However, since previous span-based models rely on span-level classifications, they cannot benefit from token-level label information, which has …

Reinforcement Learning for Robot Navigation with Adaptive Forward Simulation Time (AFST) in a Semi-Markov Model

2023

Deep reinforcement learning (DRL) algorithms have proven effective in robot navigation, especially in unknown environments, by directly mapping perception inputs into robot control commands. However, most existing methods ignore the local minimum problem in navigation …

SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce

2023

Hierarchies are common structures used to organize data, such as e-commerce hierarchies associated with product data. With these product hierarchies, we aim to learn hierarchy-aware product text embeddings to improve fine-tuning performance on a variety …

Generative Retrieval as Multi-Vector Dense Retrieval

2024 · arXiv (Cornell University)

Generative retrieval generates identifiers of relevant documents in an end-to-end manner using a sequence-to-sequence architecture for a given query. The relation between generative retrieval and other retrieval methods, especially those based on matching within dense …

Assessment of Large-Scale Solar Photovoltaic Potential on Building Roofs and Facades Using Geo-Aware Graph Attention Networks

2024

Assessing building photovoltaic (PV) potential is crucial for urban energy planning and achieving net-zero energy building goals. However, it still faces numerous limitations and challenges at the urban scale. Traditional solar irradiation simulation methods are …

Class Incremental Learning via Feature Knowledge Prompts

2025

Incremental learning uses previous knowledge and experience to deal with new problems. Traditional class incremental Learning methods usually need to ensure the current model's sensitivity to old tasks by storing, retrieving and using a large …

Learning to Recommend Accurate and Diverse Items

2017

In this study, we investigate diversified recommendation problem by supervised learning, seeking significant improvement in diversity while maintaining accuracy. In particular, we regard each user as a training instance, and heuristically choose a subset of …

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules

2019

Session-based recommendation is the task of predicting the next item to recommend when the only available information consists of anonymous behavior sequences. Previous methods for session-based recommendation focus mostly on the current session, ignoring collaborative …

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

Recurrent neural networks for session-based recommendation have attracted a lot of attention recently because of their promising performance. repeat consumption is a common phenomenon in many recommendation scenarios (e.g., e-commerce, music, and TV program recommendations), …

Neural Attentive Session-based Recommendation

2017

Given e-commerce scenarios that user profiles are invisible, session-based recommendation is proposed to generate recommendation results from short sessions. Previous work only considers the user's sequential behavior in the current session, whereas the user's main …

Mixed Information Flow for Cross-Domain Sequential Recommendations

2022 · ACM Transactions on Knowledge Discovery from Data

Cross-domain sequential recommendation is the task of predict the next item that the user is most likely to interact with based on past sequential behavior from multiple domains. One of the key challenges in cross-domain …