82 citations · 303 across the 17 of their papers we have counts for
17 papers
Joint Visual Grounding and Tracking with Natural Language Specification
Li Zhou, Zikun Zhou, Kaige Mao +1
Tracking by natural language specification aims to locate the referred target in a sequence based on the natural language description. Existing algorithms solve this issue in two s…
An Improved Christofides Mechanism for Local Differential Privacy Framework
She Sun, Li Zhou, Xiaoran Yan
The development of Internet technology enables an analysis on the whole population rather than a certain number of samples, and leads to increasing requirement for privacy protecti…
Large discrepancy between observations and simulations: Implications for urban air quality in China
Xiaokang Chen, Min Wang, Zhe Jiang +10
Chemical transport models (CTMs) have been widely used to provide instructions for the control of ozone (O3) pollution. However, we find large discrepancies between observation- an…
CoqQ: Foundational Verification of Quantum Programs
Li Zhou, Gilles Barthe, Pierre-Yves Strub +2
CoqQ is a framework for reasoning about quantum programs in the Coq proof assistant. Its main components are: a deeply embedded quantum programming language, in which classic quant…
Using Twitter Data to Understand Public Perceptions of Approved versus Off-label Use for COVID-19-related Medications
Yining Hua, Hang Jiang, Shixu Lin +4
Understanding public discourse on emergency use of unproven therapeutics is crucial for monitoring safe use and combating misinformation. We developed a natural language processing…
GraphEye: A Novel Solution for Detecting Vulnerable Functions Based on Graph Attention Network
Li Zhou, Minhuan Huang, Yujun Li +3
With the continuous extension of the Industrial Internet, cyber incidents caused by software vulnerabilities have been increasing in recent years. However, software vulnerabilities…
Collision Detection: An Improved Deep Learning Approach Using SENet and ResNext
Aloukik Aditya, Liudu Zhou, Hrishika Vachhani +2
In recent days, with increased population and traffic on roadways, vehicle collision is one of the leading causes of death worldwide. The automotive industry is motivated on develo…
DPGNN: Dual-Perception Graph Neural Network for Representation Learning
Li Zhou, Wenyu Chen, Dingyi Zeng +4
Graph neural networks (GNNs) have drawn increasing attention in recent years and achieved remarkable performance in many graph-based tasks, especially in semi-supervised learning o…
Generating Self-Contained and Summary-Centric Question Answer Pairs via Differentiable Reward Imitation Learning
Li Zhou, Kevin Small, Yong Zhang +1
Motivated by suggested question generation in conversational news recommendation systems, we propose a model for generating question-answer pairs (QA pairs) with self-contained, su…
Summary-Oriented Question Generation for Informational Queries
Xusen Yin, Li Zhou, Kevin Small +1
Users frequently ask simple factoid questions for question answering (QA) systems, attenuating the impact of myriad recent works that support more complex questions. Prompting user…
Inverse Reinforcement Learning with Natural Language Goals
Li Zhou, Kevin Small
Humans generally use natural language to communicate task requirements to each other. Ideally, natural language should also be usable for communicating goals to autonomous machines…
Quantum Weakest Preconditions for Reasoning about Expected Runtimes of Quantum Programs (Extended Version)
Junyi Liu, Li Zhou, Gilles Barthe +1
We study expected runtimes for quantum programs. Inspired by recent work on probabilistic programs, we first define expected runtime as a generalisation of quantum weakest precondi…
Multi-domain Dialogue State Tracking as Dynamic Knowledge Graph Enhanced Question Answering
Li Zhou, Kevin Small
Multi-domain dialogue state tracking (DST) is a critical component for conversational AI systems. The domain ontology (i.e., specification of domains, slots, and values) of a conve…
Quantum Earth mover's distance, No-go Quantum Kantorovich-Rubinstein theorem, and Quantum Marginal Problem
Nengkun Yu, Li Zhou, Shenggang Ying +1
The earth mover's distance is a measure of the distance between two probabilistic measures. It plays a fundamental role in mathematics and computer science. The Kantorovich-Rubinst…
End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient
Li Zhou, Kevin Small, Oleg Rokhlenko +1
Learning a goal-oriented dialog policy is generally performed offline with supervised learning algorithms or online with reinforcement learning (RL). Additionally, as companies acc…
Latent Contextual Bandits and their Application to Personalized Recommendations for New Users
Li Zhou, Emma Brunskill
Personalized recommendations for new users, also known as the cold-start problem, can be formulated as a contextual bandit problem. Existing contextual bandit algorithms generally…
A Survey on Contextual Multi-armed Bandits
Li Zhou
In this survey we cover a few stochastic and adversarial contextual bandit algorithms. We analyze each algorithm's assumption and regret bound.