Publications (58)
Introducing the Adaptive Convex Enveloping
Sheng Yu, Enrique Campos-Nanez
Convexity, though extremely important in mathematical programming, has not drawn enough attention in the field of dynamic programming. This paper gives conditions for verifying con…
Transition Complexity of Incomplete DFAs
Yuan Gao, Kai Salomaa, Sheng Yu
In this paper, we consider the transition complexity of regular languages based on the incomplete deterministic finite automata. A number of results on Boolean operations have been…
Black-Box Segmentation of Electronic Medical Records
Hongyi Yuan, Sheng Yu
Electronic medical records (EMRs) contain the majority of patients' healthcare details. It is an abundant resource for developing an automatic healthcare system. Most of the natura…
CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment
Zhengyun Zhao, Hongyi Yuan, Jingjing Liu +5
Electronic Health Record (EHR) retrieval plays a pivotal role in various clinical tasks, but its development has been severely impeded by the lack of publicly available benchmarks.…
State complexity of union and intersection combined with star and reversal
Yuan Gao, Sheng Yu
In this paper, we study the state complexities of union and intersection combined with star and reversal, respectively. We obtain the state complexities of these combined operation…
GENIE: Generative Note Information Extraction model for structuring EHR data
Huaiyuan Ying, Hongyi Yuan, Jinsen Lu +6
Electronic Health Records (EHRs) hold immense potential for advancing healthcare, offering rich, longitudinal data that combines structured information with valuable insights from…
A Computationally Efficient Robust Model Predictive Control Framework for Ecological Adaptive Cruise Control Strategy of Electric Vehicles
Sheng Yu, Xiao Pan, Anastasis Georgiou +3
The recent advancement in vehicular networking technology provides novel solutions for designing intelligent and sustainable vehicle motion controllers. This work addresses a car-f…
DR.EHR: Dense Retrieval for Electronic Health Record with Knowledge Injection and Synthetic Data
Zhengyun Zhao, Huaiyuan Ying, Yue Zhong +1
Electronic Health Records (EHRs) are pivotal in clinical practices, yet their retrieval remains a challenge mainly due to semantic gap issues. Recent advancements in dense retrieva…
Multimodal Learning on Graphs for Disease Relation Extraction
Yucong Lin, Keming Lu, Sheng Yu +2
Objective: Disease knowledge graphs are a way to connect, organize, and access disparate information about diseases with numerous benefits for artificial intelligence (AI). To crea…
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification
Hongyi Yuan, Sheng Yu
Medical automatic diagnosis aims to imitate human doctors in real-world diagnostic processes and to achieve accurate diagnoses by interacting with the patients. The task is formula…
RCGNet: RGB-based Category-Level 6D Object Pose Estimation with Geometric Guidance
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
While most current RGB-D-based category-level object pose estimation methods achieve strong performance, they face significant challenges in scenes lacking depth information. In th…
A Game-Theoretic Predictive Control Framework with Statistical Collision Avoidance Constraints for Autonomous Vehicle Overtaking
Sheng Yu, Boli Chen, Imad M. Jaimoukha +1
This work develops a control framework for the autonomous overtaking of connected and automated vehicles (CAVs) in a mixed traffic environment, where the overtaken vehicle is an un…
CoRTEx: Contrastive Learning for Representing Terms via Explanations with Applications on Constructing Biomedical Knowledge Graphs
Huaiyuan Ying, Zhengyun Zhao, Yang Zhao +2
Objective: Biomedical Knowledge Graphs play a pivotal role in various biomedical research domains. Concurrently, term clustering emerges as a crucial step in constructing these kno…
First principle study on the transition of electronic, mechanic and piezoelectric property of hexagonal Boron Nitride nanotube
Sheng Yu, Quinton Rice, Tikaram Neupane +3
One-dimensional nanostructures such as nanowires and nanotubes are stimulating tremendous interest due to their structural, electronic and magnetic properties. In this study, the f…
SpinQ Gemini: a desktop quantum computer for education and research
Shi-Yao Hou, Guanru Feng, Zipeng Wu +13
SpinQ Gemini is a commercial desktop quantum computer designed and manufactured by SpinQ Technology. It is an integrated hardware-software system. The first generation product with…
Piezoelectric conversion in TMDCs Heterostructure Atomic Layers
Sheng Yu, Tikaram Neupane, Dulitha Jayakodige +1
Two-dimensional heterostructure of WSe2/MoS2 atomic layers has unique piezoelectric characteristics which depends on the number of atomic layer, stacking type, and interlayer inter…
ReST: A Plug-and-Play Spatially-Constrained Representation Enhancement Framework for Local-Life Recommendation
Hao Jiang, Long Zhang, Guoquan Wang +6
Local-life recommendation have witnessed rapid growth, providing users with convenient access to daily essentials. However, this domain faces two key challenges: (1) spatial constr…
Generative Biomedical Entity Linking via Knowledge Base-Guided Pre-training and Synonyms-Aware Fine-tuning
Hongyi Yuan, Zheng Yuan, Sheng Yu
Entities lie in the heart of biomedical natural language understanding, and the biomedical entity linking (EL) task remains challenging due to the fine-grained and diversiform conc…
Semi-constraint Optimal Transport for Entity Alignment with Dangling Cases
Shengxuan Luo, Pengyu Cheng, Sheng Yu
Entity alignment (EA) merges knowledge graphs (KGs) by identifying the equivalent entities in different graphs, which can effectively enrich knowledge representations of KGs. Howev…
Enhanced piezoelectricity and electronic band structure transition assisted by atomic shift in MoS2 monolayer
Sheng Yu, Quinton Rice, Tikaram Neupane +2
Piezoelectricity appears in the inversion asymmetric crystal that converts mechanical deformational force to electricity. Two-dimensional transition metal dichalcolgenide (TMDC) mo…
A Real-Time Robust Ecological-Adaptive Cruise Control Strategy for Battery Electric Vehicles
Sheng Yu, Xiao Pan, Anastasis Georgiou +3
This work addresses the ecological-adaptive cruise control problem for connected electric vehicles by a computationally efficient robust control strategy. The problem is formulated…
Efficient k-step Weighted Reachability Query Processing Algorithms
Congquan Mei, Lian Chen, Junfeng Zhou +4
Given a data graph G, a source vertex u and a target vertex v of a reachability query, the reachability query is used to answer whether there exists a path from u to v in G. Reacha…
EHRDiff: Exploring Realistic EHR Synthesis with Diffusion Models
Hongyi Yuan, Songchi Zhou, Sheng Yu
Electronic health records (EHR) contain a wealth of biomedical information, serving as valuable resources for the development of precision medicine systems. However, privacy concer…
WhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
Hao Jiang, Peiru Du, Pengfei Yao +10
The paper presents WhisperRec, a framework that compresses teacher-generated chain‑of‑thought explanations into learnable latent tokens, allowing recommendation models to reason in…
NILE: Fast Natural Language Processing for Electronic Health Records
Sheng Yu, Tianrun Cai, Tianxi Cai
Objective: Narrative text in Electronic health records (EHR) contain rich information for medical and data science studies. This paper introduces the design and performance of Narr…
The Internet of Responsibilities-Connecting Human Responsibilities using Big Data and Blockchain
Xuejiao Tang, Jiong Qiu, Wenbin Zhang +6
Accountability in the workplace is critically important and remains a challenging problem, especially with respect to workplace safety management. In this paper, we introduce a nov…
State Complexity of Two Combined Operations: Reversal-Catenation and Star-Catenation
Bo Cui, Yuan Gao, Lila Kari +1
In this paper, we show that, due to the structural properties of the resulting automaton obtained from a prior operation, the state complexity of a combined operation may not be eq…
Automatic Biomedical Term Clustering by Learning Fine-grained Term Representations
Sihang Zeng, Zheng Yuan, Sheng Yu
Term clustering is important in biomedical knowledge graph construction. Using similarities between terms embedding is helpful for term clustering. State-of-the-art term embeddings…
A Question Answering Based Pipeline for Comprehensive Chinese EHR Information Extraction
Huaiyuan Ying, Sheng Yu
Electronic health records (EHRs) hold significant value for research and applications. As a new way of information extraction, question answering (QA) can extract more flexible inf…
Biomedical Question Answering: A Survey of Approaches and Challenges
Qiao Jin, Zheng Yuan, Guangzhi Xiong +7
Automatic Question Answering (QA) has been successfully applied in various domains such as search engines and chatbots. Biomedical QA (BQA), as an emerging QA task, enables innovat…
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine Translation
Shengxuan Luo, Huaiyuan Ying, Jiao Li +1
Objective: Today's neural machine translation (NMT) can achieve near human-level translation quality and greatly facilitates international communications, but the lack of parallel…
Strain effect engineered in α-Al2O3/monolayer MoS2 interface by first principle calculations
Sheng Yu, Shunjie Ran, Hao Zhu +4
With the advances in low dimensional transition metal dichalcolgenides (TMDCs) based metal oxide semiconductor field effect transistor (MOSFET), the interface between semiconductor…
Spin-resolved Visible Optical Spectra and Electronic Characteristics of Defect-mediated Hexagonal Boron Nitride Monolayer
Sheng Yu, Bagher Tabibi, Qiliang Li +1
The defect-mediated hexagonal boron nitride (hBN) supercell display the visible optical spectra and electronic characteristics. The defects in the hBN supercell include the atomic…
DREAM: A Benchmark Study for Deepfake photoREalism AssessMent
Bo Peng, Zichuan Wang, Sheng Yu +3
Deep learning based face-swap videos, widely known as deepfakes, have drawn wide attention due to their threat to information credibility. Recent works mainly focus on the problem…
Computing Supply Function Equilibria via Spline Approximations
Sheng Yu, Enrique Campos-Nanez
The supply function equilibrium (SFE) is a model for competition in markets where each firm offers a schedule of prices and quantities to face demand uncertainty, and has been succ…
Word Segmentation as Graph Partition
Yuanhao Liu, Sheng Yu
We propose a new approach to the Chinese word segmentation problem that considers the sentence as an undirected graph, whose nodes are the characters. One can use various technique…
High-throughput Biomedical Relation Extraction for Semi-Structured Web Articles Empowered by Large Language Models
Songchi Zhou, Sheng Yu
Objective: To develop a high-throughput biomedical relation extraction system that takes advantage of the large language models'(LLMs) reading comprehension ability and biomedical…
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Health
Sheng Yu, Narjes Nourzad, Randye J. Semple +3
The COVID-19 pandemic has intensified the urgency for effective and accessible mental health interventions in people's daily lives. Mobile Health (mHealth) solutions, such as AI Ch…
LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation
Hao Jiang, Guoquan Wang, Donglin Zhou +5
Recent advances in Large Language Models (LLMs) have enhanced text-based recommendation by enriching traditional ID-based methods with semantic generalization capabilities. Text-ba…
Generation of Synthetic Electronic Medical Record Text
Jiaqi Guan, Runzhe Li, Sheng Yu +1
Machine learning (ML) and Natural Language Processing (NLP) have achieved remarkable success in many fields and have brought new opportunities and high expectation in the analyses…
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
Hongyi Yuan, Zheng Yuan, Ruyi Gan +3
Pretrained language models have served as important backbones for natural language processing. Recently, in-domain pretraining has been shown to benefit various domain-specific dow…
A Transition of Saturable and Reverse Saturable Absorption between Monolayer and Bilayer/Multilayer of TMDCs
Tikaram Neupane, Dulitha Jayakodige, Sheng Yu
The nonlinear absorption of two-dimensional molybdenum disulfide was analyzed using the Z-scan technique. Sample size corresponding to a number of layer determines the band gap in…
State Complexity Approximation
Yuan Gao, Sheng Yu
In this paper, we introduce the new concept of state complexity approximation, which is a further development of state complexity estimation. We show that this new concept is usefu…
PMC-Patients: A Large-scale Dataset of Patient Summaries and Relations for Benchmarking Retrieval-based Clinical Decision Support Systems
Zhengyun Zhao, Qiao Jin, Fangyuan Chen +2
Objective: Retrieval-based Clinical Decision Support (ReCDS) can aid clinical workflow by providing relevant literature and similar patients for a given patient. However, the devel…
SpinQ Triangulum: a commercial three-qubit desktop quantum computer
Guanru Feng, Shi-Yao Hou, Hongyang Zou +10
SpinQ Triangulum is the second generation of the desktop quantum computers designed and manufactured by SpinQ Technology. SpinQ's desktop quantum computer series, based on room tem…
An Empirical Study of How Users Adopt Famous Entities
Sheng Yu, Subhash Kak
Users of social networking services construct their personal social networks by creating asymmetric and symmetric social links. Users usually follow friends and selected famous ent…
Hierarchy and equivalence of multi-letter quantum finite automata
Daowen Qiu, Sheng Yu
Multi-letter {\it quantum finite automata} (QFAs) were a new one-way QFA model proposed recently by Belovs, Rosmanis, and Smotrovs (LNCS, Vol. 4588, Springer, Berlin, 2007, pp. 60-…
Dirac Fermions induced in strained zigzag phosphorus nanotubes and the applications in field effect transistors
Sheng Yu, Hao Zhu, Kwesi Eshun +4
In this work, Dirac fermions have been obtained and engineered in one-dimensional (1D) zigzag phosphorus nanotubes (ZPNTs). We have performed a comprehensive first-principle comput…
Interpretable Representation via LLM-Driven Generative Disentanglement for Local-Life Service Recommendation
Long Zhang, Hao Jiang, Sheng Yu +3
While large language models (LLMs) have advanced ID-based recommendation through Semantic ID (SID) modeling, existing SID generation frameworks largely follow a single-representati…
A Survey of Prediction Using Social Media
Sheng Yu, Subhash Kak
Social media comprises interactive applications and platforms for creating, sharing and exchange of user-generated contents. The past ten years have brought huge growth in social m…
A Survey on Operational State Complexity
Yuan Gao, Nelma Moreira, Rogério Reis +1
Descriptional complexity is the study of the conciseness of the various models representing formal languages. The state complexity of a regular language is the size, measured by th…
BIOS: An Algorithmically Generated Biomedical Knowledge Graph
Sheng Yu, Zheng Yuan, Jun Xia +11
Biomedical knowledge graphs (BioMedKGs) are essential infrastructures for biomedical and healthcare big data and artificial intelligence (AI), facilitating natural language process…
An Accurate Unsupervised Method for Joint Entity Alignment and Dangling Entity Detection
Shengxuan Luo, Sheng Yu
Knowledge graph integration typically suffers from the widely existing dangling entities that cannot find alignment cross knowledge graphs (KGs). The dangling entity set is unavail…
High-throughput relation extraction algorithm development associating knowledge articles and electronic health records
Yucong Lin, Keming Lu, Yulin Chen +2
Objective: Medical relations are the core components of medical knowledge graphs that are needed for healthcare artificial intelligence. However, the requirement of expert annotati…
CODER: Knowledge infused cross-lingual medical term embedding for term normalization
Zheng Yuan, Zhengyun Zhao, Haixia Sun +3
This paper proposes CODER: contrastive learning on knowledge graphs for cross-lingual medical term representation. CODER is designed for medical term normalization by providing clo…
A specialized reasoning large language model for accelerating rare disease diagnosis: a randomized AI physician assistance trial
Haichao Chen, Songchi Zhou, Zhengyun Zhao +28
Rare diseases affect millions of individuals worldwide, yet timely diagnosis remains a major public health challenge due to scarcity of specialized clinical expertise. While large…
OneReason Technical Report
OneRec Team, Biao Yang, Boyang Ding +81
Generative recommendation models in the OneRec family have been widely deployed in many real-world services, such as short-video, live-streaming, advertising, and e-commerce. Howev…
State Complexity of Catenation Combined with Star and Reversal
Bo Cui, Yuan Gao, Lila Kari +1
This paper is a continuation of our research work on state complexity of combined operations. Motivated by applications, we study the state complexities of two particular combined…