Bo Tang

According to our database, Bo Tang authored at least 15 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments.

Shuochen Liu, Junyi Zhu, Long Shu, Junda Lin, Yuhao Chen, Haotian Zhang, Chao Zhang, Derong Xu, Jia Li, Bo Tang, Zhiyu Li, Feiyu Xiong, Enhong Chen, Tong Xu

CoRR, March, 2026

SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models.

Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Xinyu AI Search: Enhanced Relevance and Comprehensive Results with Rich Answer Presentations.

Bo Tang, Junyi Zhu, Chenyang Xi, Yunhang Ge, Jiahao Wu, Yuchen Feng, Yijun Niu, Wenqiang Wei, Yu Yu, Chunyu Li, Zehao Lin, Hao Wu, Ning Liao, Yebin Yang, Jiajia Wang, Zhiyu Li, Feiyu Xiong, Jingrun Chen

CoRR, May, 2025

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models.

Yuanjie Lyu, Zhiyu Li, Simin Niu, Feiyu Xiong, Bo Tang, Wenjin Wang, Hao Wu, Huanyong Liu, Tong Xu, Enhong Chen

ACM Trans. Inf. Syst., March, 2025

Hierarchical Multi-Agent Meta-Reinforcement Learning for Cross-Channel Bidding.

Shenghong He, Chao Yu, Qian Lin, Shangqin Mao, Bo Tang, Qianlong Xie, Xingxing Wang

IEEE Trans. Knowl. Data Eng., March, 2025

Jigsaw-R1: A Study of Rule-based Visual Reinforcement Learning with Jigsaw Puzzles.

Zifu Wang, Junyi Zhu, Bo Tang, Zhiyu Li, Feiyu Xiong, Jiaqian Yu, Matthew B. Blaschko

Trans. Mach. Learn. Res., 2025

CARE-STaR: Constraint-aware Self-taught Reasoner.

Zhiliang Li, Bo Tang, Yijun Niu, Beihong Jin, Qiwen Shi, Yuchen Feng, Zhiyu Li, Jie Hu, Mingchuan Yang, Feiyu Xiong

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

HiBid: A Cross-Channel Constrained Bidding System With Budget Allocation by Hierarchical Offline Deep Reinforcement Learning.

Hao Wang, Bo Tang, Chi Harold Liu, Shangqin Mao, Jiahong Zhou, Zipeng Dai, Yaqi Sun, Qianlong Xie, Xingxing Wang, Dong Wang

IEEE Trans. Computers, March, 2024

Xinyu: An Efficient LLM-based System for Commentary Generation.

Yiquan Wu, Bo Tang, Chenyang Xi, Yu Yu, Pengyu Wang, Yifei Liu, Kun Kuang, Haiying Deng, Zhiyu Li, Feiyu Xiong, Jie Hu, Peng Cheng, Zhonghao Wang, Yi Wang, Yi Luo, Mingchuan Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Off-Policy Primal-Dual Safe Reinforcement Learning.

Zifan Wu, Bo Tang, Qian Lin, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

FastMem: Fast Memorization of Prompt Improves Context Awareness of Large Language Models.

Junyi Zhu, Shuochen Liu, Yu Yu, Bo Tang, Yibo Yan, Zhiyu Li, Feiyu Xiong, Tong Xu, Matthew B. Blaschko

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

RL-MPCA: A Reinforcement Learning Based Multi-Phase Computation Allocation Approach for Recommender Systems.

Jiahong Zhou, Shunhui Mao, Guoliang Yang, Bo Tang, Qianlong Xie, Lebin Lin, Xingxing Wang, Dong Wang

Proceedings of the ACM Web Conference 2023, 2023

Safe Offline Reinforcement Learning with Real-Time Budget Constraints.

Qian Lin, Bo Tang, Zifan Wu, Chao Yu, Shangqin Mao, Qianlong Xie, Xingxing Wang, Dong Wang

Proceedings of the International Conference on Machine Learning, 2023

2018

On Real-Time Monitoring on Data Stream for Traffic Flow Anomalies.

Xinzhou Dong, Beihong Jin, Bo Tang, Hongyin Tang

Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

On Real-time Detecting Passenger Flow Anomalies.

Bo Tang, Hongyin Tang, Xinzhou Dong, Beihong Jin, Tingjian Ge

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018