Leon Wenliang Zhong

According to our database, Leon Wenliang Zhong authored at least 33 papers between 2010 and 2024.

Collaborative distances:

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

2024

PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning.

Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang

CoRR, 2024

Towards Efficient Replay in Federated Incremental Learning.

Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang

CoRR, 2024

Online Differentiable Clustering for Intent Learning in Recommendation.

Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu

CoRR, 2024

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.

Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

MIVC: Multiple Instance Visual Component for Visual-Language Models.

Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction.

Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu

IEEE Trans. Knowl. Data Eng., 2023

PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation.

Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong

CoRR, 2023

AntM²C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction.

Zhaoxin Huan, Ke Ding, Ang Li, Xiaolu Zhang, Xu Min, Yong He, Liang Zhang, Jun Zhou, Linjian Mo, Jinjie Gu, Zhongyi Liu, Wenliang Zhong, Guannan Zhang

CoRR, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

CoRR, 2023

COUPA: An Industrial Recommender System for Online to Offline Service Platforms.

Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Edge-cloud Collaborative Learning with Federated and Centralized Features.

Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework.

Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay.

Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs.

Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation.

Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong

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

Denoising Time Cycle Modeling for Recommendation.

Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong

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

On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond.

Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction.

Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-slots Online Matching with High Entropy.

Xingyu Lu, Qintong Wu, Wenliang Zhong

Proceedings of the International Conference on Machine Learning, 2022

Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations.

Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Learning Graph Neural Networks with Approximate Gradient Descent.

Qunwei Li, Shaofeng Zou, Wenliang Zhong

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing.

Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2015

Stock Constrained Recommendation in Tmall.

Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Fast Low-Rank Matrix Learning with Nonconvex Regularization.

Quanming Yao, James T. Kwok, Wenliang Zhong

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

2014

Topology optimization based on moving deformable components: A new computational framework.

Xu Guo, Weisheng Zhang, Wenliang Zhong

CoRR, 2014

Fast Stochastic Alternating Direction Method of Multipliers.

Wenliang Zhong, James Tin-Yau Kwok

Proceedings of the 31th International Conference on Machine Learning, 2014

Accelerated Stochastic Gradient Method for Composite Regularization.

Wenliang Zhong, James Tin-Yau Kwok

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

Gradient Descent with Proximal Average for Nonconvex and Composite Regularization.

Wenliang Zhong, James T. Kwok

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Accurate Probability Calibration for Multiple Classifiers.

Wenliang Zhong, James T. Kwok

Proceedings of the IJCAI 2013, 2013

Efficient Learning for Models with DAG-Structured Parameter Constraints.

Leon Wenliang Zhong, James T. Kwok

Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012

Efficient Sparse Modeling With Automatic Feature Grouping.

Leon Wenliang Zhong, James T. Kwok

IEEE Trans. Neural Networks Learn. Syst., 2012

Convex Multitask Learning with Flexible Task Clusters.

Wenliang Zhong, James Tin-Yau Kwok

Proceedings of the 29th International Conference on Machine Learning, 2012

2010

Incorporating the loss function into discriminative clustering of structured outputs.

Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang

IEEE Trans. Neural Networks, 2010