313 citations · 714 across the 53 of their papers we have counts for
54 papers
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning
Yongshuai Liu, Xin Liu
Recent developments in deep reinforcement learning have been very successful in learning complex, previously intractable problems. Sample efficiency and local optimality, however,…
Self-Consistent Narrative Prompts on Abductive Natural Language Inference
Chunkit Chan, Xin Liu, Tsz Ho Chan +4
Abduction has long been seen as crucial for narrative comprehension and reasoning about everyday situations. The abductive natural language inference (NLI) task has been propose…
Federated Linear Bandit Learning via Over-the-Air Computation
Jiali Wang, Yuning Jiang, Xin Liu +2
In this paper, we investigate federated contextual linear bandit learning within a wireless system that comprises a server and multiple devices. Each device interacts with the envi…
MSECNet: Accurate and Robust Normal Estimation for 3D Point Clouds by Multi-Scale Edge Conditioning
Haoyi Xiu, Xin Liu, Weimin Wang +2
Estimating surface normals from 3D point clouds is critical for various applications, including surface reconstruction and rendering. While existing methods for normal estimation p…
Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Xin Liu, Kaishen Yuan, Xuesong Niu +4
Facial Action Unit (AU) detection is a crucial task in affective computing and social robotics as it helps to identify emotions expressed through facial expressions. Anatomically,…
Exploring and Characterizing Large Language Models For Embedded System Development and Debugging
Zachary Englhardt, Richard Li, Dilini Nissanka +6
Large language models (LLMs) have shown remarkable abilities to generate code, however their ability to develop software for embedded systems, which requires cross-domain knowledge…
Rigorous justification of the hydrostatic approximation limit of viscous compressible flows
Xin Liu, Edriss S. Titi
This paper considers the asymptotic limit of small aspect ratio between vertical and horizontal spatial scales for viscous isothermal compressible flows. In particular, it is obser…
Walk4Me: Telehealth Community Mobility Assessment, An Automated System for Early Diagnosis and Disease Progression
Albara Ah Ramli, Xin Liu, Erik K. Henricson
We introduce Walk4Me, a telehealth community mobility assessment system designed to facilitate early diagnosis, severity, and progression identification. Our system achieves this b…
Complex Query Answering on Eventuality Knowledge Graph with Implicit Logical Constraints
Jiaxin Bai, Xin Liu, Weiqi Wang +2
Querying knowledge graphs (KGs) using deep learning approaches can naturally leverage the reasoning and generalization ability to learn to infer better answers. Traditional neural…
CAR: Conceptualization-Augmented Reasoner for Zero-Shot Commonsense Question Answering
Weiqi Wang, Tianqing Fang, Wenxuan Ding +4
The task of zero-shot commonsense question answering evaluates models on their capacity to reason about general scenarios beyond those presented in specific datasets. Existing appr…
Adam-family Methods for Nonsmooth Optimization with Convergence Guarantees
Nachuan Xiao, Xiaoyin Hu, Xin Liu +1
In this paper, we present a comprehensive study on the convergence properties of Adam-family methods for nonsmooth optimization, especially in the training of nonsmooth neural netw…
Derivation of a generalized quasi-geostrophic approximation for inviscid flows in a channel domain: The fast waves correction
Claude Bardos, Xin Liu, Edriss S. Titi
This paper is devoted to investigating the rotating Boussinesq equations of inviscid, incompressible flows with both fast Rossby waves and fast internal gravity waves. The main obj…
ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations
Chunkit Chan, Jiayang Cheng, Weiqi Wang +4
This paper aims to quantitatively evaluate the performance of ChatGPT, an interactive large language model, on inter-sentential relations such as temporal relations, causal relatio…
Smoothing Gradient Tracking for Decentralized Optimization over the Stiefel Manifold with Non-smooth Regularizers
Lei Wang, Xin Liu
Recently, decentralized optimization over the Stiefel manifold has attacked tremendous attentions due to its wide range of applications in various fields. Existing methods rely on…
Facial Affect Recognition based on Transformer Encoder and Audiovisual Fusion for the ABAW5 Challenge
Ziyang Zhang, Liuwei An, Zishun Cui +7
In this paper, we present our solutions for the 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW), which includes four sub-challenges of Valence-Arousa…
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints
Hengquan Guo, Qi Zhu, Xin Liu
This paper studies the problem of stochastic continuum-armed bandit with constraints (SCBwC), where we optimize a black-box reward function subject to a black-box constraint…
Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform
Huiru Xiao, Xin Liu, Yangqiu Song +2
The choice of geometric space for knowledge graph (KG) embeddings can have significant effects on the performance of KG completion tasks. The hyperbolic geometry has been shown to…
FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery
Changlong Yu, Weiqi Wang, Xin Liu +6
Understanding users' intentions in e-commerce platforms requires commonsense knowledge. In this paper, we present FolkScope, an intention knowledge graph construction framework to…
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Xuhai Xu, Han Zhang, Yasaman Sefidgar +13
Recent research has demonstrated the capability of behavior signals captured by smartphones and wearables for longitudinal behavior modeling. However, there is a lack of a comprehe…
ByteTransformer: A High-Performance Transformer Boosted for Variable-Length Inputs
Yujia Zhai, Chengquan Jiang, Leyuan Wang +5
Transformers have become keystone models in natural language processing over the past decade. They have achieved great popularity in deep learning applications, but the increasing…
A Variance-Reduced Stochastic Gradient Tracking Algorithm for Decentralized Optimization with Orthogonality Constraints
Lei Wang, Xin Liu
Decentralized optimization with orthogonality constraints is found widely in scientific computing and data science. Since the orthogonality constraints are nonconvex, it is quite c…
Incoporating Weighted Board Learning System for Accurate Occupational Pneumoconiosis Staging
Kaiguang Yang, Yeping Wang, Qianhao Luo +2
Occupational pneumoconiosis (OP) staging is a vital task concerning the lung healthy of a subject. The staging result of a patient is depended on the staging standard and his chest…
Single crystal synthesis and low-lying electronic structure of VS
Yu-Jie Hao, Ming-Yuan Zhu, Xiao-Ming Ma +17
We report successful growth of millimeter-sized high quality single crystals of VS, a candidate topological semimetal belonging to a low-symmetry space group and consisting…
Cross-Silo Federated Learning: Challenges and Opportunities
Chao Huang, Jianwei Huang, Xin Liu
Federated learning (FL) is an emerging technology that enables the training of machine learning models from multiple clients while keeping the data distributed and private. Based o…