Changwang Zhang

According to our database, Changwang Zhang authored at least 33 papers between 2009 and 2025.

Collaborative distances:

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

2025

SAGE: Strategy-Adaptive Generation Engine for Query Rewriting.

Teng Wang, Hailei Gong, Changwang Zhang, Jun Wang

CoRR, June, 2025

OAgents: An Empirical Study of Building Effective Agents.

He Zhu, Tianrui Qin, King Zhu, Heyuan Huang, Yeyi Guan, Jinxiang Xia, Yi Yao, Hanhao Li, Ningning Wang, Pai Liu, Tianhao Peng, Xin Gui, Xiaowan Li, Yuhui Liu, Yuchen Eleanor Jiang, Jun Wang, Changwang Zhang, Xiangru Tang, Ge Zhang, Jian Yang, Minghao Liu, Xitong Gao, Jiaheng Liu, Wangchunshu Zhou

CoRR, June, 2025

Scaling Test-time Compute for LLM Agents.

King Zhu, Hanhao Li, Siwei Wu, Tianshun Xing, Dehua Ma, Xiangru Tang, Minghao Liu, Jian Yang, Jiaheng Liu, Yuchen Eleanor Jiang, Changwang Zhang, Chenghua Lin, Jun Wang, Ge Zhang, Wangchunshu Zhou

CoRR, June, 2025

TaskCraft: Automated Generation of Agentic Tasks.

Dingfeng Shi, Jingyi Cao, Qianben Chen, Weichen Sun, Weizhen Li, Hongxuan Lu, Fangchen Dong, Tianrui Qin, King Zhu, Minghao Liu, Jian Yang, Ge Zhang, Jiaheng Liu, Changwang Zhang, Jun Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou

CoRR, June, 2025

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation.

Shengjia Zhang, Junjie Wu, Jiawei Chen, Changwang Zhang, Xingyu Lou, Wangchunshu Zhou, Sheng Zhou, Can Wang, Jun Wang

CoRR, June, 2025

Bridging the Gap: Self-Optimized Fine-Tuning for LLM-based Recommender Systems.

Heng Tang, Feng Liu, Xinbo Chen, Jiawei Chen, Bo Wang, Changwang Zhang, Jun Wang, Yuegang Sun, Bingde Hu, Can Wang

CoRR, May, 2025

Field Matters: A lightweight LLM-enhanced Method for CTR Prediction.

Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang

CoRR, May, 2025

OThink-MR1: Stimulating multimodal generalized reasoning capabilities via dynamic reinforcement learning.

Zhiyuan Liu, Yuting Zhang, Feng Liu, Changwang Zhang, Ying Sun, Jun Wang

CoRR, March, 2025

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.

Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Training-free Periodic Interest Augmentation in Incremental Recommendation.

Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MGIPF: Multi-Granularity Interest Prediction Framework for Personalized Recommendation.

Ruoxuan Feng, Zhen Tian, Qiushi Peng, Jiaxin Mao, Wayne Xin Zhao, Di Hu, Changwang Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

MASTER: A Multi-Agent System with LLM Specialized MCTS.

Bingzheng Gan, Yufan Zhao, Tianyi Zhang, Jing Huang, Yusu Li, Shu Xian Teo, Changwang Zhang, Wei Shi

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models.

Zihong He, Changwang Zhang

CoRR, 2024

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention.

Zhen Tian, Wayne Xin Zhao, Changwang Zhang, Xin Zhao, Zhongrui Ma, Ji-Rong Wen

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control.

Yong Zhong, Min Zhao, Zebin You, Xiaofeng Yu, Changwang Zhang, Chongxuan Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.

Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao

CoRR, 2023

Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search.

Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Let the Data Choose: Flexible and Diverse Anchor Graph Fusion for Scalable Multi-View Clustering.

Pei Zhang, Siwei Wang, Liang Li, Changwang Zhang, Xinwang Liu, En Zhu, Zhe Liu, Lu Zhou, Lei Luo

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

HIEN: Hierarchical Intention Embedding Network for Click-Through Rate Prediction.

Zuowu Zheng, Changwang Zhang, Xiaofeng Gao, Guihai Chen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Initializing Then Refining: A Simple Graph Attribute Imputation Network.

Wenxuan Tu, Sihang Zhou, Xinwang Liu, Yue Liu, Zhiping Cai, En Zhu, Changwang Zhang, Jieren Cheng

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

Fusion Multiple Kernel K-means.

Yi Zhang, Xinwang Liu, Jiyuan Liu, Sisi Dai, Changwang Zhang, Kai Xu, En Zhu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Efficient One-Pass Multi-View Subspace Clustering with Consensus Anchors.

Suyuan Liu, Siwei Wang, Pei Zhang, Kai Xu, Xinwang Liu, Changwang Zhang, Feng Gao

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Multi-view Clustering with Deep Matrix Factorization and Global Graph Refinement.

Chen Zhang, Siwei Wang, Wenxuan Tu, Pei Zhang, Xinwang Liu, Changwang Zhang, Bo Yuan

CoRR, 2021

Multi-view Clustering via Deep Matrix Factorization and Partition Alignment.

Chen Zhang, Siwei Wang, Jiyuan Liu, Sihang Zhou, Pei Zhang, Xinwang Liu, En Zhu, Changwang Zhang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020

Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.

Sihang Zhou, Xinwang Liu, Miaomiao Li, En Zhu, Li Liu, Changwang Zhang, Jianping Yin

IEEE Trans. Neural Networks Learn. Syst., 2020

2016

A TCP-friendly AQM algorithm to mitigate low-rate DDoS attacks.

Jiarun Lin, Changwang Zhang, Zhiping Cai, Qiang Liu, Jianping Yin

Int. J. Auton. Adapt. Commun. Syst., 2016

2015

Hybrid Spreading Mechanisms and T Cell Activation Shape the Dynamics of HIV-1 Infection.

Changwang Zhang, Shi Zhou, Elisabetta Groppelli, Pierre Pellegrino, Ian Williams, Persephone Borrow, Benjamin M. Chain, Clare Jolly

PLoS Comput. Biol., 2015

LeoTask: a fast, flexible and reliable framework for computational research.

Changwang Zhang, Shi Zhou, Benjamin M. Chain

CoRR, 2015

2014

Optimizing Hybrid Spreading in Metapopulations.

Changwang Zhang, Shi Zhou, Ingemar J. Cox, Benjamin M. Chain

CoRR, 2014

Hybrid spreading of the Internet worm Conficker.

Changwang Zhang, Shi Zhou, Benjamin M. Chain

CoRR, 2014

2012

Flow level detection and filtering of low-rate DDoS.

Changwang Zhang, Zhiping Cai, Weifeng Chen, Xiapu Luo, Jianping Yin

Comput. Networks, 2012

2010

RRED: robust RED algorithm to counter low-rate denial-of-service attacks.

Changwang Zhang, Jianping Yin, Zhiping Cai, Weifeng Chen

IEEE Commun. Lett., 2010

2009

A Max-Margin Learning Algorithm with Additional Features.

Xinwang Liu, Jianping Yin, En Zhu, Yubin Zhan, Miaomiao Li, Changwang Zhang

Proceedings of the Frontiers in Algorithmics, Third International Workshop, 2009