Zhaoyang Liu

According to our database, Zhaoyang Liu authored at least 21 papers between 2018 and 2026.

Collaborative distances:

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

2026

E2E-REME: Towards End-to-End Microservices Auto-Remediation via Experience-Simulation Reinforcement Fine-Tuning.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Minghua He, Chiming Duan, Zhaoyang Liu, Bolin Ding, Ying Li

CoRR, April, 2026

SeeUPO: Sequence-Level Agentic-RL with Convergence Guarantees.

Tianyi Hu, Qingxu Fu, Yanxi Chen, Zhaoyang Liu, Bolin Ding

CoRR, February, 2026

d-TreeRPO: Towards More Reliable Policy Optimization for Diffusion Language Models.

Leyi Pan, Shuchang Tao, Yunpeng Zhai, Zheyu Fu, Liancheng Fang, Minghua He, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Aiwei Liu, Lijie Wen

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

2025

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution.

Zouying Cao, Jiaji Deng, Li Yu, Weikang Zhou, Zhaoyang Liu, Bolin Ding, Hai Zhao

CoRR, December, 2025

CuES: A Curiosity-driven and Environment-grounded Synthesis Framework for Agentic RL.

Shinji Mai, Yunpeng Zhai, Ziqian Chen, Cheng Chen, Anni Zou, Shuchang Tao, Zhaoyang Liu, Bolin Ding

CoRR, December, 2025

AgentEvolver: Towards Efficient Self-Evolving Agent System.

Yunpeng Zhai, Shuchang Tao, Cheng Chen, Anni Zou, Ziqian Chen, Qingxu Fu, Shinji Mai, Li Yu, Jiaji Deng, Zouying Cao, Zhaoyang Liu, Bolin Ding, Jingren Zhou

CoRR, November, 2025

MicroRemed: Benchmarking LLMs in Microservices Remediation.

Lingzhe Zhang, Yunpeng Zhai, Tong Jia, Chiming Duan, Minghua He, Leyi Pan, Zhaoyang Liu, Bolin Ding, Ying Li

CoRR, November, 2025

Auto-Rubric: Learning to Extract Generalizable Criteria for Reward Modeling.

Lipeng Xie, Sen Huang, Zhuo Zhang, Anni Zou, Yunpeng Zhai, Dingchao Ren, Kezun Zhang, Haoyuan Hu, Boyin Liu, Haoran Chen, Zhaoyang Liu, Bolin Ding

CoRR, October, 2025

Taming the Judge: Deconflicting AI Feedback for Stable Reinforcement Learning.

Boyin Liu, Zhuo Zhang, Sen Huang, Lipeng Xie, Qingxu Fu, Haoran Chen, Li Yu, Tianyi Hu, Zhaoyang Liu, Bolin Ding, Dongbin Zhao

CoRR, October, 2025

Omni-SafetyBench: A Benchmark for Safety Evaluation of Audio-Visual Large Language Models.

Leyi Pan, Zheyu Fu, Yunpeng Zhai, Shuchang Tao, Sheng Guan, Shiyu Huang, Lingzhe Zhang, Zhaoyang Liu, Bolin Ding, Felix Henry, Lijie Wen, Aiwei Liu

CoRR, August, 2025

What is Wrong with Perplexity for Long-context Language Modeling?

Lizhe Fang, Yifei Wang, Zhaoyang Liu, Chenheng Zhang, Stefanie Jegelka, Jinyang Gao, Bolin Ding, Yisen Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Data-Juicer: A One-Stop Data Processing System for Large Language Models.

Daoyuan Chen, Yilun Huang, Zhijian Ma, Hesen Chen, Xuchen Pan, Ce Ge, Dawei Gao, Yuexiang Xie, Zhaoyang Liu, Jinyang Gao, Yaliang Li, Bolin Ding, Jingren Zhou

Proceedings of the Companion of the 2024 International Conference on Management of Data, 2024

MASTER: Market-Guided Stock Transformer for Stock Price Forecasting.

Tong Li, Zhaoyang Liu, Yanyan Shen, Xue Wang, Haokun Chen, Sen Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

Contrastive Learning for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Shiwen Wu, Jinyang Gao, Jiandong Zhang, Bolin Ding, Bin Cui

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

CoRR, 2021

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation.

Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Contrastive Pre-training for Sequential Recommendation.

Xu Xie, Fei Sun, Zhaoyang Liu, Jinyang Gao, Bolin Ding, Bin Cui

CoRR, 2020

Sequential Recommendation with Self-Attentive Multi-Adversarial Network.

Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Intent Preference Decoupling for User Representation on Online Recommender System.

Zhaoyang Liu, Haokun Chen, Fei Sun, Xu Xie, Jinyang Gao, Bolin Ding, Yanyan Shen

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2018

Inferring Dockless Shared Bike Distribution in New Cities.

Zhaoyang Liu, Yanyan Shen, Yanmin Zhu

Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Where Will Dockless Shared Bikes be Stacked?: - Parking Hotspots Detection in a New City.

Zhaoyang Liu, Yanyan Shen, Yanmin Zhu

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018