Shixuan Li
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Known people with the same name:
Bibliography
2026
COEVO: Co-Evolutionary Framework for Joint Functional Correctness and PPA Optimization in LLM-Based RTL Generation.
CoRR, April, 2026
CoRR, March, 2026
CoRR, February, 2026
A Dual-TransUNet Deep Learning Framework for Multi-Source Precipitation Merging and Improving Seasonal and Extreme Estimates.
CoRR, February, 2026
FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.
CoRR, January, 2026
"Privacy across the boundary": Examining Perceived Privacy Risk Across Data Transmission and Sharing Ranges of Smart Home Personal Assistants.
CoRR, January, 2026
Forecasting secondary risks in emergencies: A transferable early warning framework using event logic graphs from social media.
Inf. Process. Manag., 2026
A Multimodel Ensemble Framework for High-Frequency Noisy Electrical Fire Risk Prediction Considering Topology Structure.
IEEE Access, 2026
Collab: Fostering Critical Identification of Deepfake Videos on Social Media via Synergistic Annotation.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
"Privacy across the boundary": Examining Perceived Privacy Risk Across Data Transmission and Sharing Ranges of Smart Home Personal Assistants.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
SoK: Synthesizing Smart Home Privacy Protection Mechanisms Across Academic Proposals and Commercial Documentations.
CoRR, November, 2025
"Power of Words": Stealthy and Adaptive Private Information Elicitation via LLM Communication Strategies.
CoRR, November, 2025
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization.
CoRR, November, 2025
Maestro: Learning to Collaborate via Conditional Listwise Policy Optimization for Multi-Agent LLMs.
CoRR, November, 2025
CoRR, October, 2025
The Manipulative Power of Voice Characteristics: Investigating Deceptive Patterns in Mandarin Chinese Female Synthetic Speech.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2025
CoRR, August, 2025
H<sup>2</sup>GFM: Towards unifying Homogeneity and Heterogeneity on Text-Attributed Graphs.
CoRR, June, 2025
Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network.
J. Intell. Manuf., April, 2025
HDLCoRe: A Training-Free Framework for Mitigating Hallucinations in LLM-Generated HDL.
CoRR, March, 2025
MaskAttn-UNet: A Mask Attention-Driven Framework for Universal Low-Resolution Image Segmentation.
CoRR, March, 2025
CoRR, February, 2025
Signal Image Video Process., January, 2025
Carbon emissions prediction based on ensemble models: An empirical analysis from China.
Environ. Model. Softw., 2025
FITMM: Adaptive Frequency-Aware Multimodal Recommendation via Information-Theoretic Representation Learning.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Forty-second International Conference on Machine Learning, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025
PrivCAPTCHA: Interactive CAPTCHA to Facilitate Effective Comprehension of APP Privacy Policy.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
2024
Predictable by publication: discovery of early highly cited academic papers based on their own features.
Libr. Hi Tech, 2024
"Confrontation or Acceptance": Understanding Novice Visual Artists' Perception towards AI-assisted Art Creation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CogniDot: Vasoactivity-based Cognitive Load Monitoring with a Miniature On-skin Sensor.
CoRR, 2024
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective.
CoRR, 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Incorporating Multiple Textual Factors into Unbalanced Financial Distress Prediction: A Feature Selection Methods and Ensemble Classifiers Combined Approach.
Int. J. Comput. Intell. Syst., December, 2023
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning, 2023
2022
Multi-stage Internet public opinion risk grading analysis of public health emergencies: An empirical study on Microblog in COVID-19.
Inf. Process. Manag., 2022
IEEE Internet Things J., 2022
A Personalized Federated Tensor Factorization Framework for Distributed IoT Services QoS Prediction From Heterogeneous Data.
IEEE Internet Things J., 2022
Proceedings of the 11th International Conference on Networks, Communication and Computing, 2022
2021
A Deep Learning-Based Approach to Constructing a Domain Sentiment Lexicon: a Case Study in Financial Distress Prediction.
Inf. Process. Manag., 2021
Personalized news recommendation based on an improved conditional restricted Boltzmann machine.
Electron. Libr., 2021
2020
EAI Endorsed Trans. Collab. Comput., 2020
2019
Exploring repost features of police-generated microblogs through topic and sentiment analysis.
Electron. Libr., 2019
Proceedings of the 18th IEEE International Conference On Trust, 2019