Che Liu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding.
CoRR, August, 2025

Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
CoRR, August, 2025

Step-Audio 2 Technical Report.
CoRR, July, 2025

Dual form Complementary Masking for Domain-Adaptive Image Segmentation.
CoRR, July, 2025

How Far Have Medical Vision-Language Models Come? A Comprehensive Benchmarking Study.
CoRR, July, 2025

PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis.
CoRR, June, 2025

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning.
CoRR, June, 2025

BOTM: Echocardiography Segmentation via Bi-directional Optimal Token Matching.
CoRR, May, 2025

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.
CoRR, May, 2025

NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI.
CoRR, May, 2025

Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement.
CoRR, May, 2025

Enhancing Abnormality Grounding for Vision Language Models with Knowledge Descriptions.
CoRR, March, 2025

Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision.
CoRR, March, 2025

SuPreME: A Supervised Pre-training Framework for Multimodal ECG Representation Learning.
CoRR, February, 2025

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning.
CoRR, February, 2025

Knowledge-enhanced Multimodal ECG Representation Learning with Arbitrary-Lead Inputs.
CoRR, February, 2025

Spectral Cross-Domain Neural Network With Soft-Adaptive Threshold Spectral Enhancement.
IEEE Trans. Neural Networks Learn. Syst., January, 2025

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training.
IEEE Trans. Medical Imaging, January, 2025

Towards cardiac MRI foundation models: Comprehensive visual-tabular representations for whole-heart assessment and beyond.
Medical Image Anal., 2025

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm.
J. Comput. Sci., 2025

Machine learning for modelling unstructured grid data in computational physics: A review.
Inf. Fusion, 2025

TorchDA: A Python package for performing data assimilation with deep learning forward and transformation functions.
Comput. Phys. Commun., 2025

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MLLM-I2W: Harnessing Multimodal Large Language Model for Zero-Shot Composed Image Retrieval.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Argus: Benchmarking and Enhancing Vision-Language Models for 3D Radiology Report Generation.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Efficient deep data assimilation with sparse observations and time-varying sensors.
J. Comput. Phys., January, 2024

Efficient Large Language Models: A Survey.
Trans. Mach. Learn. Res., 2024

Improved Few-Shot SAR Image Generation by Enhancing Diversity.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
CoRR, 2024

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.
CoRR, 2024

An Electrocardiogram Foundation Model Built on over 10 Million Recordings with External Evaluation across Multiple Domains.
CoRR, 2024

FMBench: Benchmarking Fairness in Multimodal Large Language Models on Medical Tasks.
CoRR, 2024

ERABAL: Enhancing Role-Playing Agents through Boundary-Aware Learning.
CoRR, 2024

How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?
CoRR, 2024

PointEMRay: A Novel Efficient SBR Framework on Point Based Geometry.
CoRR, 2024

Benchmarking and Boosting Radiology Report Generation for 3D High-Resolution Medical Images.
CoRR, 2024

Reverse the auditory processing pathway: Coarse-to-fine audio reconstruction from fMRI.
CoRR, 2024

Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM.
CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.
CoRR, 2024

ARKS: Active Retrieval in Knowledge Soup for Code Generation.
CoRR, 2024

G2D: From Global to Dense Radiography Representation Learning via Vision-Language Pre-training.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Bridging Gaps in Content and Knowledge for Multimodal Entity Linking.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

BIMCV-R: A Landmark Dataset for 3D CT Text-Image Retrieval.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

ETP: Learning Transferable ECG Representations via ECG-Text Pre-Training.
Proceedings of the IEEE International Conference on Acoustics, 2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

EvoR: Evolving Retrieval for Code Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Inductive-Deductive Strategy Reuse for Multi-Turn Instructional Dialogues.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Parrot: Enhancing Multi-Turn Instruction Following for Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Unifying Convolution and Transformer for Efficient Concealed Object Detection in Passive Millimeter-Wave Images.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review.
IEEE CAA J. Autom. Sinica, June, 2023

Source-Free Domain Adaptive Detection of Concealed Objects in Passive Millimeter-Wave Images.
IEEE Trans. Instrum. Meas., 2023

T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training.
CoRR, 2023

Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination.
CoRR, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
CoRR, 2023

OpenAgents: An Open Platform for Language Agents in the Wild.
CoRR, 2023

Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions.
CoRR, 2023

Utilizing Synthetic Data for Medical Vision-Language Pre-training: Bypassing the Need for Real Images.
CoRR, 2023

Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation.
CoRR, 2023

Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Programmable Metasurface-Based Beam Forming by Physics-Driven Deep Learning Network.
Proceedings of the 12th International Conference on Modern Circuits and Systems Technologies, 2023

Bidomain Modeling Paradigm for Pansharpening.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Frozen Language Model Helps ECG Zero-Shot Learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

RoBrain: Towards Robust Brain-to-Image Reconstruction via Cross-Domain Contrastive Learning.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
Transformer-Based Anchor-Free Detection of Concealed Objects in Passive Millimeter Wave Images.
IEEE Trans. Instrum. Meas., 2022

Flat-Top Line-Shaped Beam Shaping and System Design.
Sensors, 2022

Directly wireless communication of human minds via non-invasive brain-computer-metasurface platform.
CoRR, 2022

Analysis of UV Multiple Scattering Based on Improved MCI-PIS Model.
IEEE Access, 2022

Optimizing the Light Source Layout of the Indoor Visible Light Communication System.
IEEE Access, 2022

Dial2vec: Self-Guided Contrastive Learning of Unsupervised Dialogue Embeddings.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Programmable Amplitude-Coding Metasurface with Multifrequency Modulations.
Adv. Intell. Syst., 2021

Model Predictive Control for Cooperative Hunting in Obstacle Rich and Dynamic Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

DialogueCSE: Dialogue-based Contrastive Learning of Sentence Embeddings.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots.
CoRR, 2020

Deep Learning Designs of Anisotropic Metasurfaces in Ultrawideband Based on Generative Adversarial Networks.
Adv. Intell. Syst., 2020

Work in Progress: Intelligent Metasurface Holograms.
Proceedings of the NanoCoCoA@SenSys '20: Proceedings of the 1st ACM International Workshop on Nanoscale Computing, 2020

Towards Building an Intelligent Chatbot for Customer Service: Learning to Respond at the Appropriate Time.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019
New Rigid-Soft Coupling Structure and Its Stiffness Adjusting Device.
Proceedings of the Intelligent Robotics and Applications - 12th International Conference, 2019

A Study of Disparity Map Based on Improved Dynamic Programming Algorithm.
Proceedings of the 2019 IEEE/CIC International Conference on Communications in China, 2019

2018
DeepNIS: Deep Neural Network for Nonlinear Electromagnetic Inverse Scattering.
CoRR, 2018

2017
Modeling and Positioning of a PZT Precision Drive System.
Sensors, 2017

Deadlock Control Based on Capacity Restrictions for FMS.
IMA J. Math. Control. Inf., 2017

2016
Two citation-based indicators to measure latent referential value of papers.
Scientometrics, 2016

Bi-directional interactions between users and cognitive buildings by means of smartphone app.
Proceedings of the IEEE International Smart Cities Conference, 2016

2011
S-TaLiRo: A Tool for Temporal Logic Falsification for Hybrid Systems.
Proceedings of the Tools and Algorithms for the Construction and Analysis of Systems, 2011


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