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ORCIDLeon Wenliang Zhong
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2020 – today
- 2024
[j4]Feng Jiang
, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang:
GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Briefings Bioinform. 25(4) (2024)- [c29]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CVPR 2024: 12820-12829 - [c28]Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang:
Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks. ECCV (88) 2024: 473-489 - [c27]Jiayang Gu, Xovee Xu, Yulu Tian, Yurun Hu, Jiadong Huang, Wenliang Zhong, Fan Zhou, Lianli Gao:
RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay. ICME 2024: 1-6 - [c26]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. MICCAI (4) 2024: 373-383 - [c25]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, Chenliang Li, Fajie Yuan:
Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 2024: 1232-1241 - [c24]Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang:
MIVC: Multiple Instance Visual Component for Visual-Language Models. WACV 2024: 8102-8111 - [c23]Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM 2024: 228-237 - [i22]Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu:
Online Differentiable Clustering for Intent Learning in Recommendation. CoRR abs/2401.05975 (2024) - [i21]Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong:
Denoising Time Cycle Modeling for Recommendation. CoRR abs/2402.02718 (2024) - [i20]Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang:
Towards Efficient Replay in Federated Incremental Learning. CoRR abs/2403.05890 (2024) - [i19]Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang:
PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR abs/2403.08967 (2024) - [i18]Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR abs/2405.17132 (2024) - [i17]Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang:
Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. CoRR abs/2406.02987 (2024) - [i16]Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Liqiang Nie:
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. CoRR abs/2406.19827 (2024) - [i15]Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong:
Identify Then Recommend: Towards Unsupervised Group Recommendation. CoRR abs/2410.23757 (2024) - 2023
- [j3]Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu:
Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. 35(1): 647-657 (2023) - [c22]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) 2023: 515-520 - [c21]Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong:
Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD 2023: 5509-5519 - [c20]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR 2023: 1949-1953 - [c19]Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR 2023: 2516-2520 - [c18]Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR 2023: 3235-3239 - [i14]Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu:
Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR abs/2304.05871 (2023) - [i13]Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou:
COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR abs/2304.12549 (2023) - [i12]Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang:
ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR abs/2305.03513 (2023) - [i11]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:
AntM2C: A Large Scale Dataset For Multi-Scenario Multi-Modal CTR Prediction. CoRR abs/2308.16437 (2023) - [i10]Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi:
Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR abs/2311.13864 (2023) - [i9]Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong:
PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR abs/2312.01916 (2023) - [i8]Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang:
MIVC: Multiple Instance Visual Component for Visual-Language Models. CoRR abs/2312.17109 (2023) - 2022
- [c17]Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CIKM 2022: 4183-4187 - [c16]Xingyu Lu, Qintong Wu, Wenliang Zhong:
Multi-slots Online Matching with High Entropy. ICML 2022: 14412-14428 - [c15]Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu:
Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. KDD 2022: 1224-1232 - [c14]Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu:
On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. NeurIPS 2022 - [c13]Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong:
Denoising Time Cycle Modeling for Recommendation. SIGIR 2022: 1950-1955 - [c12]Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong:
Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. SIGIR 2022: 2029-2033 - [i7]Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong:
Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CoRR abs/2211.12893 (2022) - 2021
- [c11]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. AAAI 2021: 8438-8446 - 2020
- [i6]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR abs/2003.01515 (2020) - [i5]Qunwei Li, Shaofeng Zou, Wenliang Zhong:
Learning Graph Neural Networks with Approximate Gradient Descent. CoRR abs/2012.03429 (2020)
2010 – 2019
- 2019
- [c10]Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi:
Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM 2019: 2577-2584 - 2015
- [c9]Quanming Yao, James T. Kwok, Wenliang Zhong:
Fast Low-Rank Matrix Learning with Nonconvex Regularization. ICDM 2015: 539-548 - [c8]Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li:
Stock Constrained Recommendation in Tmall. KDD 2015: 2287-2296 - [i4]Quanming Yao, James Tin-Yau Kwok, Wenliang Zhong:
Fast Low-Rank Matrix Learning with Nonconvex Regularization. CoRR abs/1512.00984 (2015) - 2014
- [c7]Wenliang Zhong, James T. Kwok:
Gradient Descent with Proximal Average for Nonconvex and Composite Regularization. AAAI 2014: 2206-2212 - [c6]Wenliang Zhong, James Tin-Yau Kwok:
Accelerated Stochastic Gradient Method for Composite Regularization. AISTATS 2014: 1086-1094 - [c5]Wenliang Zhong, James Tin-Yau Kwok:
Fast Stochastic Alternating Direction Method of Multipliers. ICML 2014: 46-54 - [i3]Xu Guo, Weisheng Zhang, Wenliang Zhong:
Topology optimization based on moving deformable components: A new computational framework. CoRR abs/1404.4820 (2014) - 2013
- [c4]Leon Wenliang Zhong, James T. Kwok:
Efficient Learning for Models with DAG-Structured Parameter Constraints. ICDM 2013: 897-906 - [c3]Wenliang Zhong, James T. Kwok:
Accurate Probability Calibration for Multiple Classifiers. IJCAI 2013: 1939-1945 - [i2]Leon Wenliang Zhong, James T. Kwok:
Fast Stochastic Alternating Direction Method of Multipliers. CoRR abs/1308.3558 (2013) - 2012
- [j2]Leon Wenliang Zhong, James T. Kwok:
Efficient Sparse Modeling With Automatic Feature Grouping. IEEE Trans. Neural Networks Learn. Syst. 23(9): 1436-1447 (2012) - [c2]Wenliang Zhong, James Tin-Yau Kwok:
Convex Multitask Learning with Flexible Task Clusters. ICML 2012 - [i1]Wenliang Zhong, James Tin-Yau Kwok:
Convex Multitask Learning with Flexible Task Clusters. CoRR abs/1206.4601 (2012) - 2011
- [c1]Wenliang Zhong, James T. Kwok:
Efficient Sparse Modeling with Automatic Feature Grouping. ICML 2011: 9-16 - 2010
- [j1]Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang:
Incorporating the loss function into discriminative clustering of structured outputs. IEEE Trans. Neural Networks 21(10): 1564-1575 (2010)
Coauthor Index
aka: James Tin-Yau Kwok
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