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2020 – today
- 2026
[c6]Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Zhuoran Zhuang:
APPNet: Automatic Feature Partitioning-Based Parameter Personalized Network for Conversion Prediction in E-commerce. WSDM 2026: 416-425- [c5]Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li:
CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning. WSDM 2026: 436-446 - [i6]Zhuoran Zhuang, Ye Chen, Chao Luo, Tian-Hao Zhang, Xuewei Zhang, Jian Ma, Jiatong Shi, Wei Zhang:
IKFST: IOO and KOO Algorithms for Accelerated and Precise WFST-based End-to-End Automatic Speech Recognition. CoRR abs/2601.00160 (2026) - 2025
- [c4]Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv:
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness. IJCAI 2025: 7056-7064 - [c3]Maolei Huang, Detao Lv, Yao Yu
, Shuhan Song, Dong Li, Zhuoran Zhuang:
A Context based Personalized Deep Network for Nearby Flight Recommendation. KDD (2) 2025: 4533-4542 - [c2]Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang:
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. SIGIR 2025: 2587-2591 - [c1]Xianyang Tian, Xiang Xu, Chao Wang, Tong Ruan, Baohua Wu, Maofei Que, Shenghua Ni, Zhuoran Zhuang, Jingping Liu:
Towards Explainable Search Results in E-commerce. WWW (Companion Volume) 2025: 476-484 - [i5]Yingwei Zhang, Ke Bu, Zhuoran Zhuang, Tao Xie, Yao Yu, Dong Li, Yang Guo, Detao Lv:
CRAFT: Time Series Forecasting with Cross-Future Behavior Awareness. CoRR abs/2505.13896 (2025) - [i4]Shui Liu, Mingyuan Tao, Maofei Que, Pan Li, Dong Li, Shenghua Ni, Zhuoran Zhuang:
NAM: A Normalization Attention Model for Personalized Product Search In Fliggy. CoRR abs/2506.08382 (2025) - [i3]Zhuoran Zhuang, Ye Chen, Xia Zeng, Chao Luo, Luhui Liu, Yihan Chen:
Teaching LLM to be Persuasive: Reward-Enhanced Policy Optimization for Alignment frm Heterogeneous Rewards. CoRR abs/2510.04214 (2025) - [i2]Zhuoran Zhuang, Ye Chen, Jianghao Su, Chao Luo, Luhui Liu, Xia Zeng:
Enhancing Agentic RL with Progressive Reward Shaping and Value-based Sampling Policy Optimization. CoRR abs/2512.07478 (2025) - [i1]Xuanzhang Liu, Jianglun Feng, Zhuoran Zhuang, Junzhe Zhao, Maofei Que, Jieting Li, Dianlei Wang, Hao Tong, Ye Chen, Pan Li:
CoDA: A Context-Decoupled Hierarchical Agent with Reinforcement Learning. CoRR abs/2512.12716 (2025)
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