Bo Chen

The Boolean Algebra Logic: The Soundness and Completeness Theorem

2017

A sound and complete Gentzen-typed deduction system is given for a Boolean algebra logic, where the logical connective - is missed and an assignment is a function from the propositional variables to a Boolean algebra. …

From Paraphrasing to Semantic Parsing: Unsupervised Semantic Parsing via Synchronous Semantic Decoding

2021

Shan Wu, Bo Chen, Chunlei Xin, Xianpei Han, Le Sun, Weipeng Zhang, Jiansong Chen, Fan Yang, Xunliang Cai. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint …

Enhancing Explicit and Implicit Feature Interactions via Information Sharing for Parallel Deep CTR Models

2021

Effectively modeling feature interactions is crucial for CTR prediction in industrial recommender systems. The state-of-the-art deep CTR models with parallel structure (e.g., DCN) learn explicit and implicit feature interactions through independent parallel networks. However, these …

Unbiased Sequential Recommendation with Latent Confounders

2022 · Proceedings of the ACM Web Conference 2022

Sequential recommendation holds the promise of understanding user preference by capturing successive behavior correlations. Existing research focus on designing different models for better fitting the offline datasets. However, the observational data may have been contaminated …

Sequential Recommendation with Decomposed Item Feature Routing

2022 · Proceedings of the ACM Web Conference 2022

Sequential recommendation basically aims to capture user evolving preference. Intuitively, a user interacts with an item usually because of some specific feature, and user evolving preference is essentially determined by a series of important features …

Generating Persuasive Responses to Customer Reviews with Multi-Source Prior Knowledge in E-commerce

2022 · arXiv (Cornell University)

Customer reviews usually contain much information about one's online shopping experience. While positive reviews are beneficial to the stores, negative ones will largely influence consumers' decision and may lead to a decline in sales. Therefore, …

Edge Differential Privacy for Algebraic Connectivity of Graphs

2021 · arXiv (Cornell University)

Graphs are the dominant formalism for modeling multi-agent systems. The algebraic connectivity of a graph is particularly important because it provides the convergence rates of consensus algorithms that underlie many multi-agent control and optimization techniques. …

Node and Edge Differential Privacy for Graph Laplacian Spectra: Mechanisms and Scaling Laws

2022 · arXiv (Cornell University)

This paper develops a framework for privatizing the spectrum of the graph Laplacian of an undirected graph using differential privacy. We consider two privacy formulations. The first obfuscates the presence of edges in the graph …

Optimal Linear Multilateration Combined With the Kalman Filter for Range-Only Tracking

2023 · IEEE Sensors Journal

This article presents the optimal estimation for the extensively concerned linear multilateral positioning issues and further improves the accuracy of range-only tracking significantly. The traditional linear multilateration method has been used to achieve target positioning …

Cross-modality representation learning from transformer for hashtag prediction

2023 · Journal Of Big Data

Abstract Hashtags are the keywords that describe the theme of social media content and have become very popular in influence marketing and trending topics. In recent years, hashtag prediction has become a hot topic in …

PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification

2023

Multi-label image classification is a prediction task that aims to identify more than one label from a given image. This paper considers the semantic consistency of the latent space between the visual patch and linguistic …

Differential Privacy for Stochastic Matrices Using the Matrix Dirichlet Mechanism

2023

Stochastic matrices are commonly used to analyze Markov chains, but revealing them can leak sensitive information. Therefore, in this paper we introduce a technique to privatize stochastic matrices in a way that (i) conceals the …

Treating Brain-inspired Memories as Priors for Diffusion Model to Forecast Multivariate Time Series

2024 · arXiv (Cornell University)

Forecasting Multivariate Time Series (MTS) involves significant challenges in various application domains. One immediate challenge is modeling temporal patterns with the finite length of the input. These temporal patterns usually involve periodic and sudden events …

Fluid inclusion and H–O–S isotope constraints on the genesis of the Ashawayi gold deposit, Southern Tianshan, Xinjiang, NW China

2025 · Frontiers in Earth Science

The Ashawayi gold deposit is situated in the eastern part of the Southern Tianshan Sb–Hg–Au metallogenic belt, a significant source of gold in China. This deposit exhibits typical disseminated mineralization controlled by faults or fractures. …

An Improved Spatial Clustering Method for Automatic Detection of Active Geohazards in Lanzhou

2025 · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Spaceborne interferometric synthetic aperture radar (InSAR) has been extensively employed to detect surface displacements. However, the automatic extraction of locations and boundaries of active geohazards from surface displacement data remains a significant research challenge. In …

Context-Dependent Anomaly Action Recognition

2025

We explore the problem of unsupervised anomaly action recognition, focusing on identifying abnormal human behavior that takes into account the surrounding context. Unlike conventional approaches that rely solely on observing the human action, we recognize …

Mechanism-Aware Neural Machine for Dialogue Response Generation

2017 · Proceedings of the AAAI Conference on Artificial Intelligence

To the same utterance, people's responses in everyday dialogue may be diverse largely in terms of content semantics, speaking styles, communication intentions and so on. Previous generative conversational models ignore these 1-to-n relationships between a …