Cell segmentation based on spatial information improved intuitionistic fcm combined with FOPSO. - Chuxiong Sun; Xiangzhi Bai (ICIP, 2017)

Efficient and Scalable Exploration via Estimation-Error. - Chuxiong Sun; Rui Wang 079; Ruiying Li; Jiao Wu; Xiaohui Hu (IJCNN, 2019)

Cell Segmentation Based on FOPSO Combined With Shape Information Improved Intuitionistic FCM. - Xiangzhi Bai; Chuxiong Sun; Changming Sun (IEEE J. Biomed. Health Informatics, 2019)

Learning Effective Value Function Factorization via Attentional Communication. - Bo Wu; Xiaoya Yang; Chuxiong Sun; Rui Wang 079; Xiaohui Hu; Yan Hu (SMC, 2020)

Adaptive Graph Diffusion Networks with Hop-wise Attention. - Chuxiong Sun; Guoshi Wu (CoRR, 2020)

Intrinsic Motivated Multi-Agent Communication. - Chuxiong Sun; Bo Wu; Rui Wang 079; Xiaohui Hu; Xiaoya Yang; Cong Cong 004 (AAMAS, 2021)

LFMAC: Low-Frequency Multi-Agent Communication. - Cong Cong 004; Chuxiong Sun; Ruiping Liu; Rui Wang 079; Xiaohui Hu (ICONIP (5), 2021)

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training. - Chuxiong Sun; Guoshi Wu (CoRR, 2021)

Exploiting Path Information for Anchor Based Graph Neural Network. - Yuheng Lu; Chuxiong Sun; Jie Hu (CoRR, 2021)

Reward Space Noise for Exploration in Deep Reinforcement Learning. - Chuxiong Sun; Rui Wang 079; Qian Li 003; Xiaohui Hu (Int. J. Pattern Recognit. Artif. Intell., 2021)

Key Phrase Extraction based on Pre-trained Language Models. - Shunyu Yao 001; Jie Hu 025; Chuxiong Sun; Zhiqiao Gao; Ning Liu (EITCE, 2022)

Heterogeneous Graph Neural Network for Chinese Financial Event Extraction. - Shunyu Yao 001; Jie Hu 025; Chuxiong Sun; Zhiqiao Gao; Ning Liu (EITCE, 2022)

T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration. - Chuxiong Sun; Zehua Zang; Jiabao Li; Jiangmeng Li; Xiao Xu; Rui Wang 079; Changwen Zheng (AAAI, 2024)

Demo:SCDRL: Scalable and Customized Distributed Reinforcement Learning System. - Chuxiong Sun; Wenwen Qiang; Jiangmeng Li (ICDCS, 2024)

CMIX: Causal Value Decomposition for Cooperative Multi-Agent Reinforcement Learning. - Dunqi Yao; Chuxiong Sun; Kai Li 047; Kaijie Zhou; Hanyu Li; Rui Wang 079; Lixiang Liu (SMC, 2024)

Proxy-RLHF: Decoupling Generation and Alignment in Large Language Model with Proxy. - Yu Zhu; Chuxiong Sun; Wenfei Yang; Wenqiang Wei; Bo Tang; Tianzhu Zhang 001; Zhiyu Li; Shifeng Zhang; Feiyu Xiong; Jie Hu; Mingchuan Yang (CoRR, 2024)

Training Language Model to Critique for Better Refinement. - Tianshu Yu 004; Chao Xiang; Mingchuan Yang; Pei Ke; Bosi Wen; Cunxiang Wang; Jiale Cheng; Li Zhang; Xinyu Mu; Chuxiong Sun; Minlie Huang (ACL (Findings), 2025)

TFS: Revisiting Temporal Language Grounding from Frequency Spiking Perspective. - Yifan Lyu; Hongzhou Wu; Lixiang Liu; Chuxiong Sun (ICASSP, 2025)

Revisiting Communication Efficiency in Multi-Agent Reinforcement Learning from the Dimensional Analysis Perspective. - Chuxiong Sun; Peng He; Rui Wang 079; Changwen Zheng (AAMAS, 2025)

Loss of Plasticity: A New Perspective on Solving Multi-Agent Exploration for Sparse Reward Tasks. - Zehua Zang; Chuxiong Sun; Lixiang Liu; Fuchun Sun 001; Changwen Zheng (AAMAS, 2025)

Token-Level Accept or Reject: A Micro Alignment Approach for Large Language Models. - Yang Zhang; Yu Yu; Bo Tang; Yu Zhu; Chuxiong Sun; Wenqiang Wei; Jie Hu; Zipeng Xie; Zhiyu Li; Feiyu Xiong; Edward Chung 001 (IJCAI, 2025)

Supporting vision-language model few-shot inference with confounder-pruned knowledge prompt. - Jiangmeng Li; Wenyi Mo; Fei Song; Chuxiong Sun; Wenwen Qiang; Bing Su 001; Changwen Zheng (Neural Networks, 2025)

Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced Training. - Chuxiong Sun; Jie Hu; Hongming Gu; Jinpeng Chen 001; Wei Liang; Mingchuan Yang (Pattern Recognit., 2025)

M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference. - Chuxiong Sun; Peng He; Qirui Ji; Zehua Zang; Jiangmeng Li; Rui Wang 079; Wei Wang (CoRR, 2025)

Adaptive graph diffusion networks: compact and expressive GNNs with large receptive fields. - Chuxiong Sun; Muhan Zhang; Jie Hu; Hongming Gu; Jinpeng Chen 001; Mingchuan Yang (Artif. Intell. Rev., 2025)

CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting. - Xingyu Zhang; Wenwen Qiang; Siyu Zhao; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng (CoRR, 2025)

Multi-Modal Learning with Bayesian-Oriented Gradient Calibration. - Peizheng Guo; Jingyao Wang; Huijie Guo; Jiangmeng Li; Chuxiong Sun; Changwen Zheng; Wenwen Qiang (CoRR, 2025)

Rethinking Generalizability and Discriminability of Self-Supervised Learning from Evolutionary Game Theory Perspective. - Jiangmeng Li; Zehua Zang; Qirui Ji; Chuxiong Sun; Wenwen Qiang; Junge Zhang; Changwen Zheng; Fuchun Sun 001; Hui Xiong 001 (Int. J. Comput. Vis., 2025)

Group Causal Policy Optimization for Post-Training Large Language Models. - Ziyin Gu; Jingyao Wang; Ran Zuo; Chuxiong Sun; Zeen Song; Changwen Zheng; Wenwen Qiang (CoRR, 2025)

Visual reinforcement learning via sequential consistency preserved policy contrast from optimal transport view. - Zehua Zang; Jiangmeng Li; Chuxiong Sun; Rui Wang 079; Lixiang Liu; Fuchun Sun 001 (Neural Networks, 2026)