Wenhao Huang

Orcid: 0000-0002-0036-6278

According to our database1, Wenhao Huang authored at least 127 papers between 2006 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
PMSNet: Parallel Multi-Scale Network for Accurate Low-Light Light-Field Image Enhancement.
IEEE Trans. Multim., 2024

ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.
Trans. Mach. Learn. Res., 2024

TIGERScore: Towards Building Explainable Metric for All Text Generation Tasks.
Trans. Mach. Learn. Res., 2024

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness.
CoRR, 2024

ING-VP: MLLMs cannot Play Easy Vision-based Games Yet.
CoRR, 2024

KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks.
CoRR, 2024

OmniBench: Towards The Future of Universal Omni-Language Models.
CoRR, 2024

LIME: Less Is More for MLLM Evaluation.
CoRR, 2024

Foundation Models for Music: A Survey.
CoRR, 2024

I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.
CoRR, 2024

MMRA: A Benchmark for Multi-granularity Multi-image Relational Association.
CoRR, 2024

DreamStory: Open-Domain Story Visualization by LLM-Guided Multi-Subject Consistent Diffusion.
CoRR, 2024

LongIns: A Challenging Long-context Instruction-based Exam for LLMs.
CoRR, 2024

GIEBench: Towards Holistic Evaluation of Group Identity-based Empathy for Large Language Models.
CoRR, 2024

PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents.
CoRR, 2024

Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction.
CoRR, 2024

II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models.
CoRR, 2024

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series.
CoRR, 2024

AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation.
CoRR, 2024

COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning.
CoRR, 2024

Yi: Open Foundation Models by 01.AI.
CoRR, 2024

m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers.
CoRR, 2024

ChatMusician: Understanding and Generating Music Intrinsically with LLM.
CoRR, 2024

LLM Agents for Psychology: A Study on Gamified Assessments.
CoRR, 2024

GenDec: A robust generative Question-decomposition method for Multi-hop reasoning.
CoRR, 2024

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark.
CoRR, 2024

Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation.
CoRR, 2024

A New Centralized License Management Framework based on Internet of Things (IoT-CLMF).
Proceedings of the 2024 7th International Conference on Signal Processing and Machine Learning, 2024

Ph.D. Forum: A Study on Real-time Crowdedness Sensing and Pedestrian Tracking in Multi-environment.
Proceedings of the 22nd ACM Conference on Embedded Networked Sensor Systems, 2024

AdaLine: Adaptive Optimizing Counting Lines in Object-Detection-Tracking Systems.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024

MusiLingo: Bridging Music and Text with Pre-trained Language Models for Music Captioning and Query Response.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Poster: Stochastic Scheduling on Object-sparse Video Data.
Proceedings of the 22nd Annual International Conference on Mobile Systems, 2024

Intensity Confusion Matters: An Intensity-Distance Guided Loss For Bronchus Segmentation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Is There a One-Model-Fits-All Approach to Information Extraction? Revisiting Task Definition Biases.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

AutoScraper: A Progressive Understanding Web Agent for Web Scraper Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

DetectBench: Can Large Language Model Detect and Piece Together Implicit Evidence?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

MMMU: A Massive Multi-Discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MORE-3S: Multimodal-based Offline Reinforcement Learning with Shared Semantic Spaces.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024


PsychoGAT: A Novel Psychological Measurement Paradigm through Interactive Fiction Games with LLM Agents.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Can Large Language Models Understand Real-World Complex Instructions?
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Feature-guided dynamic graph convolutional network for wetland hyperspectral image classification.
Int. J. Appl. Earth Obs. Geoinformation, September, 2023

Boosting Light Field Image Super Resolution Learnt From Single-Image Prior.
IEEE Trans. Computational Imaging, 2023

Can Large Language Models Understand Real-World Complex Instructions?
CoRR, 2023

LLaSM: Large Language and Speech Model.
CoRR, 2023

Beyond the Obvious: Evaluating the Reasoning Ability In Real-life Scenarios of Language Models on Life Scapes Reasoning Benchmark~(LSR-Benchmark).
CoRR, 2023

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation.
CoRR, 2023

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training.
CoRR, 2023

Chinese Open Instruction Generalist: A Preliminary Release.
CoRR, 2023

Sem4SAP: Synonymous Expression Mining From Open Knowledge Graph For Language Model Synonym-Aware Pretraining.
CoRR, 2023

3D Spatial Sensing and Analysis Model of Closed Space CO2 Concentration.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Forecasting Household Waste Generation with Deep Learning and Long-term Granular Database.
Proceedings of the 13th International Conference on the Internet of Things, 2023

Real-Time Image-Based Automotive Sensing: A Practice on Fine-Grained Garbage Disposal.
Proceedings of the 13th International Conference on the Internet of Things, 2023

Running Serverless Function on Resource Fragments in Data Center.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

Adaptive Ordered Information Extraction with Deep Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
A Bus Crowdedness Sensing System Using Deep-Learning Based Object Detection.
IEICE Trans. Inf. Syst., October, 2022

SMS-Net: Sparse multi-scale voxel feature aggregation network for LiDAR-based 3D object detection.
Neurocomputing, 2022

BronchusNet: Region and Structure Prior Embedded Representation Learning for Bronchus Segmentation and Classification.
CoRR, 2022

Bus Crowdedness Sensing System Based on Carbon Dioxide Concentration.
Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, 2022

Maxwell's Demon in Tail-tolerant, Resource-efficient Serverless Computing.
Proceedings of the 28th IEEE International Conference on Parallel and Distributed Systems, 2022

PEMP: Leveraging Physics Properties to Enhance Molecular Property Prediction.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Evaluation of indoor air quality in gyms based on grey relational analysis model.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022

2021
SimpleSync: A parallel delta synchronization method based on Flink.
Concurr. Comput. Pract. Exp., 2021

MRAC-Net: Multi-resolution Anisotropic Convolutional Network for 3D Point Cloud Completion.
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021

WebKE: Knowledge Extraction from Semi-structured Web with Pre-trained Markup Language Model.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Revisiting the Negative Data of Distantly Supervised Relation Extraction.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Real-time Transportation Prediction Correction using Reconstruction Error in Deep Learning.
ACM Trans. Knowl. Discov. Data, 2020

Cross-Correlation Algorithm-Based Optimization of Aliasing Signals for Inductive Debris Sensors.
Sensors, 2020

Shadow Data: A Method to Optimize Incremental Synchronization in Data Center.
Proceedings of the Network and Parallel Computing, 2020

2019
A Distributed System for Large-scale n-gram Language Models at Tencent.
Proc. VLDB Endow., 2019

MII: A Novel Content Defined Chunking Algorithm for Finding Incremental Data in Data Synchronization.
IEEE Access, 2019

Text Assisted Insight Ranking Using Context-Aware Memory Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Learning Personalized End-to-End Goal-Oriented Dialog.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Neural representations of the multidimensional self in the cortical midline structures.
NeuroImage, 2018

Neural substrates of the emotion-word and emotional counting Stroop tasks in healthy and clinical populations: A meta-analysis of functional brain imaging studies.
NeuroImage, 2018

Initial Development of an Amphibious Robot with Flexible Straight Flipper-Legs.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018

2017
Improved Knowledge Base Completion by the Path-Augmented TransR Model.
Proceedings of the Knowledge Science, Engineering and Management, 2017

Brain Effective Connectivity Analysis from EEG for Positive and Negative Emotion.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Recognition of Voluntary Blink and Bite Base on Single Forehead EMG.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Application of Data Augmentation Methods to Unmanned Aerial Vehicle Monitoring System for Facial Camouflage Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2015
Mining Dependencies Considering Time Lag in Spatio-Temporal Traffic Data.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

Traffic Flow Decomposition and Prediction Based on Robust Principal Component Analysis.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Hybrid Multi-metric K-Nearest Neighbor Regression for Traffic Flow Prediction.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

Probabilistic dynamic causal model for temporal data.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Improving deep neural network ensembles using reconstruction error.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Incorporating temporal smoothness and group structure in learning with incomplete data.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Short-term traffic flow forecasting: Multi-metric KNN with related station discovery.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

2014
Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning.
IEEE Trans. Intell. Transp. Syst., 2014

A Spatial-temporal Topic Segmentation Model for Human Mobile Behavior.
Proceedings of the Web-Age Information Management - 15th International Conference, 2014

Metric-Based Multi-Task Grouping Neural Network for Traffic Flow Forecasting.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014

Group testing with prior statistics.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Dynamic boosting in deep learning using reconstruction error.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Deep process neural network for temporal deep learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Traffic zone division using mobile billing data.
Proceedings of the 11th International Conference on Fuzzy Systems and Knowledge Discovery, 2014

2013
Three dimensional micro-mechanical and micro-optical devices fabricated by holographic two-photon lithography.
Proceedings of the 8th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2013

Adaptive Weight Optimization for Classification of Imbalanced Data.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

Cost sensitive GPS-based activity recognition.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Hierarchical destination prediction based on GPS history.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Automated urban location annotation on mobile records.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

Deep Architecture for Traffic Flow Prediction.
Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012
The roles of intrinsic motivators and extrinsic motivators in promoting e-learning in the workplace: A case from South Korea.
Comput. Hum. Behav., 2012

2011
Relationship between the size of SiO2 nano spheres and the structure color.
Proceedings of the 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2011

Effect of tunable structural color caused by colloidal crystal.
Proceedings of the 6th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2011

Discrete Trajectory Prediction on Mobile Data.
Proceedings of the Web Technologies and Applications - 13th Asia-Pacific Web Conference, 2011

2010
Mechanical Characterization of Human Red Blood Cells Under Different Osmotic Conditions by Robotic Manipulation With Optical Tweezers.
IEEE Trans. Biomed. Eng., 2010

Mechanism and analysis of structural color in two typical butterfly scales.
Proceedings of the 5th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2010

Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers.
Proceedings of the Learning and Intelligent Optimization, 4th International Conference, 2010

Robotic manipulation of human red blood cells with optical tweezers for cell property characterization.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Force analysis and path planning of the trapped cell in robotic manipulation with optical tweezers.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Anchor Points Seeking of Large Urban Crowd Based on the Mobile Billing Data.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Mechanical characterization of human red blood cells by robotic manipulation with optical tweezers.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2009

Mechanical modeling characterization of biological cells using microrobotics cell injection test bed.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Magnetic Field Analysis of a New 3-Axis Optical Pickup Actuator Based on ANSYS.
Proceedings of the Fifth International Conference on Natural Computation, 2009

2008
A mechanical model of biological cells in microinjection.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008

2006
A preliminary validation of Attention, Relevance, Confidence and Satisfaction model-based Instructional Material Motivational Survey in a computer-based tutorial setting.
Br. J. Educ. Technol., 2006

An Algorithm to Generate Cutting Path for Micro-Fabrication.
Proceedings of the 2006 International Conference on Image Processing, 2006


  Loading...