Lang Feng

According to our database, Lang Feng authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

PrismFlow: Residual Dynamics for Flow Matching in Time-Series Generation.

Junru Zhang, Lang Feng, Jinbo Wang, Xu Guo, Yucheng Wang, Han Yu, Min Wu, Yabo Dong, Duanqing Xu

CoRR, May, 2026

Beyond Trajectory-Level Attribution: Graph-Based Credit Assignment for Agentic Reinforcement Learning.

Xin Cheng, Shuo He, Lang Feng, Haiyang Xu, Ming Yan, Lei Feng, Bo An

CoRR, May, 2026

Hierarchy-of-Groups Policy Optimization for Long-Horizon Agentic Tasks.

Shuo He, Lang Feng, Qi Wei, Xin Cheng, Lei Feng, Bo An

CoRR, February, 2026

Online Causal Kalman Filtering for Stable and Effective Policy Optimization.

Shuo He, Lang Feng, Xin Cheng, Lei Feng, Bo An

CoRR, February, 2026

AnomSeer: Reinforcing Multimodal LLMs to Reason for Time-Series Anomaly Detection.

Junru Zhang, Lang Feng, Haoran Shi, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu

CoRR, February, 2026

Dr. MAS: Stable Reinforcement Learning for Multi-Agent LLM Systems.

Lang Feng, Longtao Zheng, Shuo He, Fuxiang Zhang, Bo An

CoRR, February, 2026

CaveAgent: Transforming LLMs into Stateful Runtime Operators.

Maohao Ran, Zhenglin Wan, Cooper Lin, Yanting Zhang, Hongyu Xin, Hongwei Fan, Yibo Xu, Beier Luo, Yaxin Zhou, Wangbo Zhao, Lijie Yang, Lang Feng, Fuchao Yang, Jingxuan Wu, Yiqiao Huang, Chendong Ma, Dailing Jiang, Jianbo Deng, Sihui Han, Bo An, Yike Guo, Jun Song

CoRR, January, 2026

AgentOCR: Reimagining Agent History via Optical Self-Compression.

Lang Feng, Fuchao Yang, Feng Chen, Xin Cheng, Haiyang Xu, Zhenglin Wan, Ming Yan, Bo An

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

DI2SDiff++: Activity Style Decomposition and Diffusion-Based Fusion for Cross-Person Generalization in Activity Recognition.

Junru Zhang, Cheng Peng, Zhidan Liu, Lang Feng, Yuhan Wu, Yabo Dong, Duanqing Xu

IEEE Trans. Mob. Comput., October, 2025

TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning.

Junru Zhang, Lang Feng, Xu Guo, Yuhan Wu, Yabo Dong, Duanqing Xu

CoRR, June, 2025

Group-in-Group Policy Optimization for LLM Agent Training.

Lang Feng, Zhenghai Xue, Tingcong Liu, Bo An

CoRR, May, 2025

Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification.

Junru Zhang, Lang Feng, Xu Guo, Han Yu, Yabo Dong, Duanqing Xu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Bidirectional Distillation: A Mixed-Play Framework for Multi-Agent Generalizable Behaviors.

Lang Feng, Jiahao Lin, Dong Xing, Li Zhang, De Ma, Gang Pan

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Policy Regularization on Globally Accessible States in Cross-Dynamics Reinforcement Learning.

Zhenghai Xue, Lang Feng, Jiacheng Xu, Kang Kang, Xiang Wen, Bo An, Shuicheng Yan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Towards Efficient Online Tuning of VLM Agents via Counterfactual Soft Reinforcement Learning.

Lang Feng, Weihao Tan, Zhiyi Lyu, Longtao Zheng, Haiyang Xu, Ming Yan, Fei Huang, Bo An

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Efficient spiking neural network design via neural architecture search.

Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan

Neural Networks, 2024

Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition.

Junru Zhang, Lang Feng, Zhidan Liu, Yuhan Wu, Yang He, Yabo Dong, Duanqing Xu

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

Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree.

Lang Feng, Pengjie Gu, Bo An, Gang Pan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

FP3O: Enabling Proximal Policy Optimization in Multi-Agent Cooperation with Parameter-Sharing Versatility.

Lang Feng, Dong Xing, Junru Zhang, Gang Pan

CoRR, 2023

Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification.

Junru Zhang, Lang Feng, Haowen Zhang, Yuhan Wu, Yabo Dong

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Temporal Convolutional Explorer Helps Understand 1D-CNN's Learning Behavior in Time Series Classification from Frequency Domain.

Junru Zhang, Lang Feng, Yang He, Yuhan Wu, Yabo Dong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks.

Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Event-Based Multimodal Spiking Neural Network with Attention Mechanism.

Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Joint optimization based satellite handover strategy for low earth orbit satellite networks.

Yifei Liu, Lang Feng, Liang Wu, Zaichen Zhang, Jian Dang, Bingcheng Zhu, Lei Wang

IET Commun., 2021

2020

A Satellite Handover Strategy Based on MIMO Technology in LEO Satellite Networks.

Lang Feng, Yifei Liu, Liang Wu, Zaichen Zhang, Jian Dang

IEEE Commun. Lett., 2020