Junwu Xiong

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 16

Top Topics

Probabilistic Topic Models

Gradient Method

Reinforcement Learning

Latent Dirichlet Allocation

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

Publications

Xiaoyu Tan, Chao Qu, Junwu Xiong, James Y. Zhang, Xihe Qiu, Yaochu Jin
Model-Based Off-Policy Deep Reinforcement Learning With Model-Embedding. IEEE Trans. Emerg. Top. Comput. Intell. 8 (4) (2024)
Li Jiang, Yusen Wu, Junwu Xiong, Jingqing Ruan, Yichuan Ding, Qingpei Guo, Zujie Wen, Jun Zhou, Xiaotie Deng
Hummer: Towards Limited Competitive Preference Dataset. CoRR (2024)
Tianyu Cui, Yanling Wang, Chuanpu Fu, Yong Xiao, Sijia Li, Xinhao Deng, Yunpeng Liu, Qinglin Zhang, Ziyi Qiu, Peiyang Li, Zhixing Tan, Junwu Xiong, Xinyu Kong, Zujie Wen, Ke Xu, Qi Li
Risk Taxonomy, Mitigation, and Assessment Benchmarks of Large Language Model Systems. CoRR (2024)
Zehang Deng, Yongjian Guo, Changzhou Han, Wanlun Ma, Junwu Xiong, Sheng Wen, Yang Xiang
AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways. CoRR (2024)
Junwu Xiong, Xiaoyun Feng, YunZhou Shi, James Zhang, Zhongzhou Zhao, Wei Zhou
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning. CoRR (2022)
Huiru Xiao, Caigao Jiang, Yangqiu Song, James Zhang, Junwu Xiong
Unit Ball Model for Hierarchical Embeddings in Complex Hyperbolic Space. CoRR (2021)
Xiaoyu Tan, Chao Qu, Junwu Xiong, James Zhang
Model Embedding Model-Based Reinforcement Learning. CoRR (2020)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI (2020)
Chao Qu, Hui Li, Chang Liu, Junwu Xiong, James Zhang, Wei Chu, Yuan Qi, Le Song
Intention Propagation for Multi-agent Reinforcement Learning. CoRR (2020)
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. CoRR (2019)
Romain Lopez, Chenchen Li, Xiang Yan, Junwu Xiong, Michael I. Jordan, Yuan Qi, Le Song
Cost-Effective Incentive Allocation via Structured Counterfactual Inference. CoRR (2019)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Latent Dirichlet Allocation for Internet Price War. AAAI (2019)
Chao Qu, Shie Mannor, Huan Xu, Yuan Qi, Le Song, Junwu Xiong
Value Propagation for Decentralized Networked Deep Multi-agent Reinforcement Learning. NeurIPS (2019)
Tong Yin, Xiaotie Deng, Yuan Qi, Wei Chu, Jing Pan, Xiang Yan, Junwu Xiong
Personalized Behavior Prediction with Encoder-to-Decoder Structure. NAS (2018)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
Latent Dirichlet Allocation for Internet Price War. CoRR (2018)
Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong
A Policy Gradient Method with Variance Reduction for Uplift Modeling. CoRR (2018)
Huan Li, Yanlei Liu, Weifeng Chen, Weijia Jia, Bing Li, Junwu Xiong
COCA: Constructing optimal clustering architecture to maximize sensor network lifetime. Comput. Commun. 36 (3) (2013)
Huan Li, Jierui Cao, Junwu Xiong
Constructing Optimal Clustering Architecture for Maximizing Lifetime in Large Scale Wireless Sensor Networks. ICPADS (2009)