Changwang Zhang

According to our database, Changwang Zhang authored at least 53 papers between 2009 and 2026.

Collaborative distances:

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

2026

Discrete Preference Learning for Personalized Multimodal Generation.

Yuting Zhang, Ying Sun, Dazhong Shen, Ziwei Xie, Feng Liu, Changwang Zhang, Xiang Liu, Jun Wang, Hui Xiong

CoRR, April, 2026

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models.

Haijian Liang, Zenghao Niu, Junjie Wu, Changwang Zhang, Wangchunshu Zhou, Jun Wang

CoRR, April, 2026

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering.

Chenyu Zhou, Huacan Chai, Wenteng Chen, Zihan Guo, Rong Shan, Yuanyi Song, Tianyi Xu, Yingxuan Yang, Aofan Yu, Weiming Zhang, Congming Zheng, Jiachen Zhu, Zeyu Zheng, Zhuosheng Zhang, Xingyu Lou, Changwang Zhang, Zhihui Fu, Jun Wang, Weiwen Liu, Jianghao Lin, Weinan Zhang

CoRR, April, 2026

Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.

Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen

CoRR, March, 2026

Towards Motion Turing Test: Evaluating Human-Likeness in Humanoid Robots.

Mingzhe Li, Mengyin Liu, Zekai Wu, Xincheng Lin, Junsheng Zhang, Ming Yan, Zengye Xie, Changwang Zhang, Chenglu Wen, Lan Xu, Siqi Shen, Cheng Wang

CoRR, March, 2026

TSEmbed: Unlocking Task Scaling in Universal Multimodal Embeddings.

Yebo Wu, Feng Liu, Ziwei Xie, Zhiyuan Liu, Changwang Zhang, Jun Wang, Li Li

CoRR, March, 2026

PhotoBench: Beyond Visual Matching Towards Personalized Intent-Driven Photo Retrieval.

Tianyi Xu, Rong Shan, Junjie Wu, Jiadeng Huang, Teng Wang, Jiachen Zhu, Wenteng Chen, Minxin Tu, Quantao Dou, Zhaoxiang Wang, Changwang Zhang, Weinan Zhang, Jun Wang, Jianghao Lin

CoRR, March, 2026

DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories.

Chenlong Deng, Mengjie Deng, Junjie Wu, Dun Zeng, Teng Wang, Qingsong Xie, Jiadeng Huang, Shengjie Ma, Changwang Zhang, Zhaoxiang Wang, Jun Wang, Yutao Zhu, Zhicheng Dou

CoRR, February, 2026

OSCAR: Optimization-Steered Agentic Planning for Composed Image Retrieval.

Teng Wang, Rong Shan, Jianghao Lin, Junjie Wu, Tianyi Xu, Jianping Zhang, Wenteng Chen, Changwang Zhang, Zhaoxiang Wang, Weinan Zhang, Jun Wang

CoRR, February, 2026

LLM4DSR: Leveraging Large Language Model for Denoising Sequential Recommendation.

Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang

ACM Trans. Inf. Syst., January, 2026

SpecTran: Spectral-Aware Transformer-based Adapter for LLM-Enhanced Sequential Recommendation.

Yu Cui, Feng Liu, Zhaoxiang Wang, Changwang Zhang, Jun Wang, Can Wang, Jiawei Chen

CoRR, January, 2026

Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation.

Fengyuan Yu, Xiaohua Feng, Yuyuan Li, Changwang Zhang, Jun Wang, Chaochao Chen

Proceedings of the ACM Web Conference 2026, 2026

Does LLM Focus on the Right Words? Mitigating Context Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

Proceedings of the ACM Web Conference 2026, 2026

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

Proceedings of the ACM Web Conference 2026, 2026

Walking Further: Semantic-Aware Multimodal Gait Recognition Under Long-Range Conditions.

Zhiyang Lu, Wen Jiang, Tianren Wu, Zhichao Wang, Changwang Zhang, Siqi Shen, Ming Cheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Does LLM Focus on the Right Words? Diagnosing Language Bias in LLM-based Recommenders.

Bohao Wang, Jiawei Chen, Feng Liu, Changwang Zhang, Jun Wang, Canghong Jin, Chun Chen, Can Wang

CoRR, October, 2025

HatLLM: Hierarchical Attention Masking for Enhanced Collaborative Modeling in LLM-based Recommendation.

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

CoRR, October, 2025

PoU: Proof-of-Use to Counter Tool-Call Hacking in DeepResearch Agents.

Shengjie Ma, Chenlong Deng, Jiaxin Mao, Jiadeng Huang, Teng Wang, Junjie Wu, Changwang Zhang, Jun Wang

CoRR, October, 2025

Efficient Agents: Building Effective Agents While Reducing Cost.

Ningning Wang, Xavier Hu, Pai Liu, He Zhu, Yue Hou, Heyuan Huang, Shengyu Zhang, Jian Yang, Jiaheng Liu, Ge Zhang, Changwang Zhang, Jun Wang, Yuchen Eleanor Jiang, Wangchunshu Zhou

CoRR, August, 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

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

OAgents: An Empirical Study of Building Effective Agents.

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

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

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

Proceedings of the Database Systems for Advanced Applications, 2025

Personalized Federated Recommendation with Multi-Faceted User Representation and Global Consistent Prototype.

Jiaming Qian, Xinting Liao, Xiangmou Qu, Zhihui Fu, Xingyu Lou, Changwang Zhang, Pengyang Zhou, Zijun Zhou, Jun Wang, Chaochao Chen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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

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