Shixuan Liu

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

Bibliography

2026
HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning.
CoRR, March, 2026

Revealing Behavioral Plasticity in Large Language Models: A Token-Conditional Perspective.
CoRR, March, 2026

Study on an Improved Current Ripple Suppression Algorithm for IPOS SAB DC-DC Converter System.
IEEE Trans. Ind. Electron., February, 2026

Outcome Accuracy is Not Enough: Aligning the Reasoning Process of Reward Models.
CoRR, February, 2026

Robust Interacting Multiple Model Kalman Filter Based on Generalized Gaussian-Cauchy Mixture Correntropy for Non-Gaussian Noises.
IEEE Trans. Aerosp. Electron. Syst., 2026

Efficient Table Embeddings via Self-Supervised Structural-Semantic Graph Autoencoder.
Inf. Process. Manag., 2026

DLME: A distillation mechanism from language models for knowledge graph embedding.
Neurocomputing, 2026

A unified modeling framework for automated penetration testing.
Comput. Secur., 2026

Invariant Learning on Heterogeneous Graphs via Subgraph Environment Inference.
Proceedings of the ACM Web Conference 2026, 2026

CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Detecting Unobserved Confounders: A Kernelized Regression Approach.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Learning complete and explainable visual representations from itemized text supervision.
CoRR, December, 2025

Soft Adaptive Policy Optimization.
CoRR, November, 2025

RoME: Domain-Robust Mixture-of-Experts for MILP Solution Prediction across Domains.
CoRR, November, 2025

Environment Inference for Learning Generalizable Dynamical System.
CoRR, October, 2025

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window.
CoRR, October, 2025

GRACE: Generative Representation Learning via Contrastive Policy Optimization.
CoRR, October, 2025

Learning neuroimaging models from health system-scale data.
CoRR, September, 2025

Group Sequence Policy Optimization.
CoRR, July, 2025

Rule Learning for Knowledge Graph Reasoning under Agnostic Distribution Shift.
CoRR, July, 2025

Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning.
CoRR, June, 2025

Stable Reinforcement Learning for Efficient Reasoning.
CoRR, May, 2025

The Expressive Power of Graph Neural Networks: A Survey.
IEEE Trans. Knowl. Data Eng., March, 2025

Downlink-Uplink Collaborative Channel Estimation for TDD Massive MIMO Communications.
IEEE Trans. Signal Process., 2025

Coherence mode: Characterizing local graph structural information for temporal knowledge graph.
Inf. Sci., 2025

EvoPath: Evolutionary meta-path discovery with large language models for complex heterogeneous information networks.
Inf. Process. Manag., 2025

Identifying nonlinear roll damping and restoring parameters via physics-informed neural network.
Eng. Appl. Artif. Intell., 2025

Deep unfolding network with Adaptive Sequential Recovery for MRI reconstruction.
Biomed. Signal Process. Control., 2025

From Captions to Rewards (CaReVL): Leveraging Large Language Model Experts for Enhanced Reward Modeling in Large Vision-Language Models.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

MapExplorer: New Content Generation from Low-Dimensional Visualizations.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024
Inductive Meta-Path Learning for Schema-Complex Heterogeneous Information Networks.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

ORAD: a new framework of offline Reinforcement Learning with Q-value regularization.
Evol. Intell., 2024

Map2Text: New Content Generation from Low-Dimensional Visualizations.
CoRR, 2024

TeleChat Technical Report.
CoRR, 2024

dattri: A Library for Efficient Data Attribution.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PentraFormer: Learning Agents for Automated Penetration Testing via Sequence Modeling.
Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph-CoRe: Graph Representation Learning with Contrastive Subgraph Replacement.
Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

LLM4HIN: Discovering Meta-path with Large Language Model for Reasoning on Complex Heterogeneous Information Networks.
Proceedings of the 2024 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2024

Graph Pre-training for Reconnaissance Perception in Automated Penetration Testing.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

Solving Combinatorial Optimization Problem Over Graph Through QUBO Transformation and Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Data Mining, 2024

icsPLMs: Exploring Pre-trained Language Models in Intelligent Customer Service (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Graph-Attention-Based Casual Discovery With Trust Region-Navigated Clipping Policy Optimization.
IEEE Trans. Cybern., April, 2023

Towards Intelligent Training Systems for Customer Service.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Data Augmented Knowledge Graph Completion via Pre-trained Language Models.
Proceedings of the ISWC 2023 Posters, 2023

icsBERTs: Optimizing Pre-trained Language Models in Intelligent Customer Service.
Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022
Distilling Causal Metaknowledge from Knowledge Graphs.
IEEE Data Eng. Bull., 2022

2021
Development of Capacitive Rain Gauge for Marine Environment.
J. Sensors, 2021

A Continuous Space Location Model and a Particle Swarm Optimization-Based Heuristic Algorithm for Maximizing the Allocation of Ocean-Moored Buoys.
IEEE Access, 2021

2014
A dynamic relearning neural network model for time series analysis of online marine data.
Comput. Geosci., 2014


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