Publications (63)
Position reconstruction and surface background model for the PandaX-4T detector
Zhicheng Qian, Linhui Gu, Chen Cheng +100
We report the position reconstruction methods and surface background model for the PandaX-4T dark matter direct search experiment. This work develops two position reconstruction al…
Training and Simulation of Quadrupedal Robot in Adaptive Stair Climbing and Descending for Indoor Firefighting: An End-to-End Reinforcement Learning Approach
Baixiao Huang, Baiyu Huang, Yu Hou
Quadruped robots are used for primary searches during the early stages of indoor fires. A typical primary search involves quickly and thoroughly looking for victims under hazardous…
STPLS3D: A Large-Scale Synthetic and Real Aerial Photogrammetry 3D Point Cloud Dataset
Meida Chen, Qingyong Hu, Zifan Yu +6
Although various 3D datasets with different functions and scales have been proposed recently, it remains challenging for individuals to complete the whole pipeline of large-scale d…
Exploring New Physics with PandaX-4T Low Energy Electronic Recoil Data
PandaX Collaboration, Xinning Zeng, Zihao Bo +98
New particles beyond the standard model of particle physics, such as axions, can be effectively searched through their interactions with electrons. We use the large liquid xenon de…
Search for Solar Boosted Dark Matter Particles at the PandaX-4T Experiment
Guofang Shen, Zihao Bo, Wei Chen +100
We present a novel constraint on light dark matter utilizing tonneyear of data acquired from the PandaX-4T dual-phase xenon time projection chamber. This constraint i…
Are Akpans Trick or Treat: Unveiling Helpful Biases in Assistant Systems
Jiao Sun, Yu Hou, Jiin Kim +1
Information-seeking AI assistant systems aim to answer users' queries about knowledge in a timely manner. However, both the human-perceived helpfulness of information-seeking assis…
Quantized Large Language Models in Biomedical Natural Language Processing: Evaluation and Recommendation
Zaifu Zhan, Shuang Zhou, Min Zeng +6
Large language models have demonstrated remarkable capabilities in biomedical natural language processing, yet their rapid growth in size and computational requirements present a m…
To Reason or Not to: Selective Chain-of-Thought in Medical Question Answering
Zaifu Zhan, Min Zeng, Shuang Zhou +6
Objective: To improve the efficiency of medical question answering (MedQA) with large language models (LLMs) by avoiding unnecessary reasoning while maintaining accuracy. Methods:…
Phase Transitions and Superconductivity in Ternary Hydride LiSiH at High Pressures
Sixuan Wu, Bin Li, Zhi Chen +7
We predicted a new ternary hydride LiSiH at high pressures. A systematic structure search in LiSiH compound reveals novel stable phases with intriguing electronic a…
DoGMaTiQ: Automated Generation of Question-and-Answer Nuggets for Report Evaluation
Bryan Li, William Walden, Yu Hou +6
Evaluation of long-form, citation-backed reports has lately received significant attention due to the wide-scale adoption of retrieval-augmented generation (RAG) systems. Core to m…
Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms
Dayeon Ki, Yu Hou, Rachel Rudinger +3
Neologisms and emerging slang are central to daily conversation, yet challenging for non-native speakers (NNS) to interpret and use appropriately in cross-cultural communication wi…
Algebro-geometric solutions and their reductions for the Fokas-Lenells hierarchy
Peng Zhao, Engui Fan, Yu Hou
This paper is dedicated to provide theta function representations of algebro-geometric solutions for the Fokas-Lenells (FL) hierarchy through studying an algebro-geometric initial…
A Unified Framework for Exploratory Learning-Aided Community Detection Under Topological Uncertainty
Yu Hou, Cong Tran, Ming Li +1
In social networks, the discovery of community structures has received considerable attention as a fundamental problem in various network analysis tasks. However, due to privacy co…
The algebro-geometric solutions for the modified Camassa-Holm hierarchy
Yu Hou, Engui Fan, Zhijun Qiao
This paper is dedicated to provide theta function representation of algebro-geometric solutions and related crucial quantities for the modified Camassa-Holm (MCH) hierarchy through…
TRACE: Tourism Recommendation with Accountable Citation Evidence
Zixu Zhao, Sijin Wang, Yu Hou +6
Tourism is a high-stakes setting for conversational recommender systems (CRS): a plausible-sounding suggestion can waste real money and trip time once a traveler acts on it. Existi…
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Yu Hou, Jin-Duk Park, Won-Yong Shin
A recent study has shown that diffusion models are well-suited for modeling the generative process of user-item interactions in recommender systems due to their denoising nature. H…
The Algebro-Geometric Solutions for the Ruijsenaars-Toda Hierarchy
Peng Zhao, Engui Fan, Yu Hou
We provide a detailed treatment of Ruijsenaars-Toda (RT) hierarchy with special emphasis on its the theta function representation of all algebro-geometric solutions. The basic tool…
The coupled Schodinger hierarchy associated with third-order algebraic curves and algebro-geometric solutions
Yu Hou, Engui Fan
By introducing Lenard recursion equations, we derive a general coupled nonlinear Schdinger (CNLS) hierarchy associated with well-known Manakov system and Sasa-Sa…
Superconductivity in CeBeH and CeBH at moderate pressures
Yu Hou, Bin Li, Yan Bai +6
High-pressure structural searches of superhydrides CeBeH and CeBH were performed under ambient pressure up to 300 GPa. We identify -CeBeH with a superc…
Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation
Yu Hou, Won-Yong Shin
Large language model (LLM)-based recommender systems have achieved high-quality performance by bridging the discrepancy between the item space and the language space through item t…
Algebro-geometric solutions for the two-component Hunter-Saxton hierarchy
Yu Hou, Engui Fan
This paper is dedicated to provide theta function representations of algebro-geometric solutions and related crucial quantities for the two-component Hunter-Saxton (HS2) hierarchy…
ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos
Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu +5
Multimodal counterfactual reasoning is a vital yet challenging ability for AI systems. It involves predicting the outcomes of hypothetical circumstances based on vision and languag…
Measurement of two-neutrino double electron capture half-life of Xe with PandaX-4T
PandaX Collaboration, Zihao Bo, Wei Chen +99
Detailed studies of two-neutrino double electron capture (2DEC) is a crucial step towards searching for the neutrino-less mode to explore the Majorana nature of neutrinos. We h…
The Algebro-Geometric Initial Value Problem for the Relativistic Lotka-Volterra Hierarchy and Quasi-Periodic Solutions
Peng Zhao, Engui Fan, Yu Hou
We provide a detailed treatment of relativistic Lotka-Volterra hierarchy and a kind of initial value problem with special emphasis on its the theta function representation of all a…
An evaluation of DeepSeek Models in Biomedical Natural Language Processing
Zaifu Zhan, Shuang Zhou, Huixue Zhou +4
The advancement of Large Language Models (LLMs) has significantly impacted biomedical Natural Language Processing (NLP), enhancing tasks such as named entity recognition, relation…
Detecting Neutrinos from Supernova Bursts in PandaX-4T
Binyu Pang, Abdusalam Abdukerim, Zihao Bo +93
Neutrinos from core-collapse supernovae are essential for the understanding of neutrino physics and stellar evolution. The dual-phase xenon dark matter detectors can provide a way…
Analysis of Drone-Assisted Building Inspection Training in VR vs 2D Monitor Display: an EEG Study
Pengkun Liu, Jackson Greene, Jiali Huang +2
Researchers have been using simulation-based methods for drone-assisted inspection training. Multiple brain regions are associated with information processes and decision-making, a…
Natural Language Inference Improves Compositionality in Vision-Language Models
Paola Cascante-Bonilla, Yu Hou, Yang Trista Cao +2
Compositional reasoning in Vision-Language Models (VLMs) remains challenging as these models often struggle to relate objects, attributes, and spatial relationships. Recent methods…
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare
Ying Liu, Haozhu Wang, Huixue Zhou +6
Reinforcement learning (RL) has emerged as a powerful approach for tackling complex medical decision-making problems such as treatment planning, personalized medicine, and optimizi…
PhysEditBench: A Protocol-Conditioned Benchmark for Dense Physical-Map Prediction with Image Editors
Jiaxin Yang, Yu Hou, Muxin Liu +5
Can general-purpose image editors predict physical maps from a single RGB image? General-purpose image editors differ from standard task-specific dense-prediction models: they do n…
Capture Timing-Attention of Events in Clinical Time Series
Jia Li, Yu Hou, Rui Zhang
The contemporary paradigm of trajectory learning operates fundamentally at the level of group dynamics, systematically reducing individual-level complexity to fit group-level model…
Single Bitmap Block Truncation Coding of Color Images Using Hill Climbing Algorithm
Lige Zhang, Xiaolin Qin, Qing Li +2
Recently, the use of digital images in various fields is increasing rapidly. To increase the number of images stored and get faster transmission of them, it is necessary to reduce…
Retrieval-augmented in-context learning for multimodal large language models in disease classification
Zaifu Zhan, Shuang Zhou, Xiaoshan Zhou +6
Objectives: We aim to dynamically retrieve informative demonstrations, enhancing in-context learning in multimodal large language models (MLLMs) for disease classification. Methods…
The algebro-geometric solutions for Degasperis-Procesi hierarchy
Yu Hou, Peng Zhao, Engui Fan +1
Though completely integrable Camassa-Holm (CH) equation and Degasperis-Procesi (DP) equation are cast in the same peakon family, they possess the second- and third-order Lax operat…
Searching for Two-Neutrino and Neutrinoless Double Beta Decay of Xe with the PandaX-4T Experiment
PandaX Collaboration, Xiyu Yan, Zhaokan Cheng +94
Xe is a candidate isotope for neutrinoless double beta decay~() search. In addition, the two-neutrino case () allowed by the Standard Model of particle ph…
Fine-Tuning Diffusion-Based Recommender Systems via Reinforcement Learning with Reward Function Optimization
Yu Hou, Hua Li, Ha Young Kim +1
Diffusion models recently emerged as a powerful paradigm for recommender systems, offering state-of-the-art performance by modeling the generative process of user-item interactions…
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis
Shuang Zhou, Jiashuo Wang, Zidu Xu +11
Explainable disease diagnosis, which leverages patient information (e.g., signs and symptoms) and computational models to generate probable diagnoses and reasonings, offers clear c…
Search for Double Beta Decay of Xe to the Excited State of Ba with PandaX-4T
PandaX Collaboration, Lingyin Luo, Zihao Bo +98
We perform a search of double beta decay of Xe to the excited state, , of Ba (2-0), using the dual-phase xenon detector of PandaX-4T with the f…
On Measures of Biases and Harms in NLP
Sunipa Dev, Emily Sheng, Jieyu Zhao +8
Recent studies show that Natural Language Processing (NLP) technologies propagate societal biases about demographic groups associated with attributes such as gender, race, and nati…
Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training
Pengkun Liu, Pingbo Tang, Jiepeng Liu +1
Reliable building energy audits are crucial for efficiency through heat loss detection. While drones assist inspections, they overlook the interplay between personality traits, str…
KNOWNET: Guided Health Information Seeking from LLMs via Knowledge Graph Integration
Youfu Yan, Yu Hou, Yongkang Xiao +2
The increasing reliance on Large Language Models (LLMs) for health information seeking can pose severe risks due to the potential for misinformation and the complexity of these top…
Measurement of Solar Neutrino Flux using Electron Recoil Data from PandaX-4T Commissioning Run
PandaX Collaboration, Xiaoying Lu, Abdusalam Abdukerim +89
The proton-proton () fusion chain dominates the neutrino production from the Sun. The uncertainty of the predicted neutrino flux is at the sub-percent level, whereas that…
Dark Matter Search Results from 1.54 TonneYear Exposure of PandaX-4T
PandaX Collaboration, Zihao Bo, Wei Chen +99
In this letter, we report the dark matter search results from the commissioning run and the first science run of the PandaX-4T experiment. A blind analysis is carried out on the en…
Ground material classification for UAV-based photogrammetric 3D data A 2D-3D Hybrid Approach
Meida Chen, Andrew Feng, Yu Hou +3
In recent years, photogrammetry has been widely used in many areas to create photorealistic 3D virtual data representing the physical environment. The innovation of small unmanned…
Language Models Predict Empathy Gaps Between Social In-groups and Out-groups
Yu Hou, Hal Daumé, Rachel Rudinger
Studies of human psychology have demonstrated that people are more motivated to extend empathy to in-group members than out-group members (Cikara et al., 2011). In this study, we i…
First Indication of Solar B Neutrino Flux through Coherent Elastic Neutrino-Nucleus Scattering in PandaX-4T
PandaX Collaboration, Zihao Bo, Wei Chen +99
The PandaX-4T liquid xenon detector at the China Jinping Underground Laboratory is used to measure the solar B neutrino flux by detecting neutrinos through coherent scattering…
Searching for Neutrinoless Double-Beta Decay of Xe with PandaX-4T
PandaX Collaboration, Shu Zhang, Zihao Bo +99
We report the search for neutrinoless double-beta decay of Xe from the PandaX-4T experiment with a 3.7-tonne natural xenon target. The data reconstruction and the backgroun…
The algebro-geometric solutions for Hunter-Saxton hierarchy
Yu Hou, Engui Fan, Peng Zhao
This paper is dedicated to provide theta function representation of algebro-geometric solutions and related crucial quantities for the Hunter-Saxton (HS) hierarchy through studying…
Search for MeV-Scale Axionlike Particles and Dark Photons with PandaX-4T
PandaX Collaboration, Tao Li, Zihao Bo +98
Axionlike particles (ALPs) and dark photons (DPs) are viable dark matter particle candidates. We have searched for possible ALP/DP signals in the PandaX-4T liquid xenon detector us…
Auto-ARGUE: LLM-Based Report Generation Evaluation
William Walden, Marc Mason, Orion Weller +10
Generation of citation-backed reports is a primary use case for retrieval-augmented generation (RAG) systems. While open-source evaluation tools exist for various RAG tasks, tools…
GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration
Yoo Yeon Sung, Eve Fleisig, Yu Hou +2
Language models are often miscalibrated, leading to confidently incorrect answers. We introduce GRACE, a benchmark for language model calibration that incorporates comparison with…
Highly birefringent polymer terahertz fiber with honeycomb cladding
Yu Hou, Fei Fan, Zi-Wei Jiang +2
Two highly birefringent polymer terahertz (THz) fibers were proposed in this paper, which were formed with honeycomb cladding and some elliptical air holes in the fiber core. The l…
Algebro-geometric solutions for the two-component Camassa-Holm Dym hierarchy
Yu Hou, Engui Fan
This paper is dedicated to provide theta function representations of algebro-geometric solutions and related crucial quantities for the two-component Camassa-Holm Dym (CHD2) hierar…
AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?
Maharshi Gor, Yoo Yeon Sung, Yu Hou +4
AI systems are fallible, and humans can make mistakes in deciding whether to trust AI over their own judgment. Thus, improving human-AI collaboration requires understanding when, w…
An Underexplored Frontier: Large Language Models for Rare Disease Patient Education and Communication -- A scoping review
Zaifu Zhan, Yu Hou, Kai Yu +4
Rare diseases affect over 300 million people worldwide and are characterized by complex care pathways, limited clinical expertise, and substantial unmet communication needs through…
A New Method of Pixel-level In-situ U-value Measurement for Building Envelopes Based on Infrared Thermography
Zihao Wang, Yu Hou, Lucio Soibelman
The potential energy loss of aging buildings traps building owners in a cycle of underfunding operations and overpaying maintenance costs. Energy auditors intending to generate an…
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao +448
Language models demonstrate both quantitative improvement and new qualitative capabilities with increasing scale. Despite their potentially transformative impact, these new capabil…
Benchmarking GPT-5 for biomedical natural language processing
Yu Hou, Zaifu Zhan, Min Zeng +3
Biomedical literature and clinical narratives pose multifaceted challenges for natural language understanding, from precise entity extraction and document synthesis to multi-step d…
PandaX-xT: a Multi-ten-tonne Liquid Xenon Observatory at the China Jinping Underground Laboratory
PandaX Collaboration, Abdusalam Abdukerim, Zihao Bo +90
We propose a major upgrade to the existing PandaX-4T experiment in the China Jinping Underground Laboratory. The new experiment, PandaX-xT, will be a multi-ten-tonne liquid xenon,…
Learning Transferability: A Two-Stage Reinforcement Learning Approach for Enhancing Quadruped Robots' Performance in U-Shaped Stair Climbing
Baixiao Huang, Baiyu Huang, Yu Hou
Quadruped robots are employed in various scenarios in building construction. However, autonomous stair climbing across different indoor staircases remains a major challenge for rob…
META-CODE: Community Detection via Exploratory Learning in Topologically Unknown Networks
Yu Hou, Cong Tran, Won-Yong Shin
The discovery of community structures in social networks has gained considerable attention as a fundamental problem for various network analysis tasks. However, due to privacy conc…
COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences
Shikhar Singh, Nuan Wen, Yu Hou +4
Commonsense reasoning is intuitive for humans but has been a long-term challenge for artificial intelligence (AI). Recent advancements in pretrained language models have shown prom…
Search for Cosmic-ray Boosted Sub-MeV Dark-Matter-Electron Scattering in PandaX-4T
Xiaofeng Shang, Abdusalam Abdukerim, Zihao Bo +89
We report the first search for the elastic scatterings between cosmic-ray boosted sub-MeV dark matter and electrons in the PandaX-4T liquid xenon experiment. Sub-MeV dark matter pa…