Chuxiong Sun

Orcid: 0000-0002-4956-6924

According to our database1, Chuxiong Sun authored at least 29 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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On csauthors.net:

Bibliography

2025
Group Causal Policy Optimization for Post-Training Large Language Models.
CoRR, August, 2025

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective.
Int. J. Comput. Vis., June, 2025

Multi-Modal Learning with Bayesian-Oriented Gradient Calibration.
CoRR, May, 2025

Token-level Accept or Reject: A Micro Alignment Approach for Large Language Models.
CoRR, May, 2025

CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting.
CoRR, May, 2025

Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields.
Artif. Intell. Rev., April, 2025

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference.
CoRR, January, 2025

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training.
Pattern Recognit., 2025

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt.
Neural Networks, 2025

Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

TFS: Revisiting Temporal Language Grounding from Frequency Spiking Perspective.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Training Language Model to Critique for Better Refinement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy.
CoRR, 2024

CMIX: Causal Value Decomposition for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022
Heterogeneous Graph Neural Network for Chinese Financial Event Extraction.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

Key Phrase Extraction based on Pre-trained Language Models.
Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering, 2022

2021
Reward Space Noise for Exploration in Deep Reinforcement Learning.
Int. J. Pattern Recognit. Artif. Intell., 2021

Exploiting Path Information for Anchor Based Graph Neural Network.
CoRR, 2021

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training.
CoRR, 2021

LFMAC: Low-Frequency Multi-Agent Communication.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Intrinsic Motivated Multi-Agent Communication.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Adaptive Graph Diffusion Networks with Hop-wise Attention.
CoRR, 2020

Learning Effective Value Function Factorization via Attentional Communication.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

2019
Cell Segmentation Based on FOPSO Combined With Shape Information Improved Intuitionistic FCM.
IEEE J. Biomed. Health Informatics, 2019

Efficient and Scalable Exploration via Estimation-Error.
Proceedings of the International Joint Conference on Neural Networks, 2019

2017
Cell segmentation based on spatial information improved intuitionistic fcm combined with FOPSO.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017


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