Wenliang Zhong

73 papers A* 26A 6Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks. AAAI Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang
2026	A*	`conf`	M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. AAAI Chuan He, Yongchao Liu, Qiang Li, Chuntao Hong, Wenliang Zhong, Xin-Wei Yao
2026	J	`jnl`	Optimizing Few-Step Generation with Adaptive Matching Distillation. CoRR Lichen Bai, Zikai Zhou, Shitong Shao, Wenliang Zhong, Shuo Yang, Shuo Chen, Bojun Chen, Zeke Xie
2026	J	`jnl`	PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers. CoRR Haopeng Li, Shitong Shao, Wenliang Zhong, Zikai Zhou, Lichen Bai, Hui Xiong, Zeke Xie
2025	—	`conf`	Contrastive Pretraining for Computational Pathology with Visual-Language Models. ISBI Qifeng Zhou, Thao M. Dang, Yuzhi Guo, Hehuan Ma, Wenliang Zhong, Saiyang Na, Jean Gao, Junzhou Huang
2025	J	`jnl`	Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay. Trans. Recomm. Syst. Youru Li, Zhenfeng Zhu, Shaohu Chen, Kaiming Shen, Xingxing Zhang, Wenliang Zhong, Yao Zhao
2025	J	`jnl`	EmbedAgent: Benchmarking Large Language Models in Embedded System Development. CoRR Ruiyang Xu, Jialun Cao, Mingyuan Wu, Wenliang Zhong, Yaojie Lu, Ben He, Xianpei Han, Shing-Chi Cheung, Le Sun
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. CoRR Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	FedBiF: Communication-Efficient Federated Learning via Bits Freezing. IEEE Trans. Parallel Distributed Syst. Shiwei Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	LiveMCPBench: Can Agents Navigate an Ocean of MCP Tools? CoRR Guozhao Mo, Wenliang Zhong, Jiawei Chen, Xuanang Chen, Yaojie Lu, Hongyu Lin, Ben He, Xianpei Han, Le Sun
2025	J	`jnl`	MLLM4PUE: Toward Universal Embeddings in Computational Pathology through Multimodal LLMs. CoRR Qifeng Zhou, Thao M. Dang, Wenliang Zhong, Yuzhi Guo, Hehuan Ma, Saiyang Na, Junzhou Huang
2025	J	`jnl`	M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. CoRR Chuan He, Yongchao Liu, Qiang Li, Wenliang Zhong, Chuntao Hong, Xin Yao
2025	—	`conf`	Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework. KDD (2) Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao
2025	J	`jnl`	Put Teacher in Student's Shoes: Cross-Distillation for Ultra-compact Model Compression Framework. CoRR Maolin Wang, Jun Chu, Sicong Xie, Xiaoling Zang, Yao Zhao, Wenliang Zhong, Xiangyu Zhao
2025	A*	`conf`	SaP-Bot: A Multimodal Large-Language Model for End-to-End Same-Product Identification. ACM Multimedia Yixuan Zhou, Yulu Tian, Wenliang Zhong, Xingbin Yu, Heng Tao Shen, Xing Xu
2025	A*	`conf`	Towards Principled Learning for Re-ranking in Recommender Systems. SIGIR Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
2025	J	`jnl`	Towards Principled Learning for Re-ranking in Recommender Systems. CoRR Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong
2025	A*	`conf`	Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. CVPR Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Weili Guan
2024	—	`conf`	Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks. ECCV (88) Weizhi An, Wenliang Zhong, Feng Jiang, Hehuan Ma, Junzhou Huang
2024	J	`jnl`	Compositional Image Retrieval via Instruction-Aware Contrastive Learning. CoRR Wenliang Zhong, Weizhi An, Feng Jiang, Hehuan Ma, Yuzhi Guo, Junzhou Huang
2024	J	`jnl`	Denoising Time Cycle Modeling for Recommendation. CoRR Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong
2024	A*	`conf`	End-to-end Learnable Clustering for Intent Learning in Recommendation. NeurIPS Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Xinwang Liu, Shengju Yu, Kejun Zhang, Wenliang Zhong
2024	J	`jnl`	Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation Enrichment. CoRR Wenliang Zhong, Wenyi Wu, Qi Li, Robert A. Barton, Boxin Du, Shioulin Sam, Karim Bouyarmane, Ismail B. Tutar, Junzhou Huang
2024	A*	`conf`	Exploring Multi-Scenario Multi-Modal CTR Prediction with a Large Scale Dataset. SIGIR 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
2024	J	`jnl`	GTE: a graph learning framework for prediction of T-cell receptors and epitopes binding specificity. Briefings Bioinform. Feng Jiang, Yuzhi Guo, Hehuan Ma, Saiyang Na, Wenliang Zhong, Yi Han, Tao Wang, Junzhou Huang
2024	A*	`conf`	Identify Then Recommend: Towards Unsupervised Group Recommendation. NeurIPS Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong
2024	J	`jnl`	Identify Then Recommend: Towards Unsupervised Group Recommendation. CoRR Yue Liu, Shihao Zhu, Tianyuan Yang, Jian Ma, Wenliang Zhong
2024	A	`conf`	MIVC: Multiple Instance Visual Component for Visual-Language Models. WACV Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
2024	J	`jnl`	Online Differentiable Clustering for Intent Learning in Recommendation. CoRR Yue Liu, Shihao Zhu, Jun Xia, Yingwei Ma, Jian Ma, Wenliang Zhong, Guannan Zhang, Kejun Zhang, Xinwang Liu
2024	A	`conf`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024	J	`jnl`	PathM3: A Multimodal Multi-Task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. CoRR Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024	—	`conf`	PathM3: A Multimodal Multi-task Multiple Instance Learning Framework for Whole Slide Image Classification and Captioning. MICCAI (4) Qifeng Zhou, Wenliang Zhong, Yuzhi Guo, Michael Xiao, Hehuan Ma, Junzhou Huang
2024	A	`conf`	RRE: A Relevance Relation Extraction Framework for Cross-domain Recommender System at Alipay. ICME Jiayang Gu, Xovee Xu, Yulu Tian, Yurun Hu, Jiadong Huang, Wenliang Zhong, Fan Zhou, Lianli Gao
2024	A*	`conf`	Towards Efficient Replay in Federated Incremental Learning. CVPR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Towards Efficient Replay in Federated Incremental Learning. CoRR Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024	J	`jnl`	Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory. CoRR Wenliang Zhong, Haoyu Tang, Qinghai Zheng, Mingzhu Xu, Yupeng Hu, Liqiang Nie
2024	J	`jnl`	Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	J	`jnl`	AntM CoRR 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
2023	A*	`conf`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	J	`jnl`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	—	`conf`	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. ICDM (Workshops) Yucheng Shi, Hehuan Ma, Wenliang Zhong, Qiaoyu Tan, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023	J	`jnl`	ChatGraph: Interpretable Text Classification by Converting ChatGPT Knowledge to Graphs. CoRR Yucheng Shi, Hehuan Ma, Wenliang Zhong, Gengchen Mai, Xiang Li, Tianming Liu, Junzhou Huang
2023	A*	`conf`	Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
2023	A*	`conf`	Edge-cloud Collaborative Learning with Federated and Centralized Features. SIGIR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Edge-cloud Collaborative Learning with Federated and Centralized Features. CoRR Zexi Li, Qunwei Li, Yi Zhou, Wenliang Zhong, Guannan Zhang, Chao Wu
2023	J	`jnl`	Learning Dynamic User Interest Sequence in Knowledge Graphs for Click-Through Rate Prediction. IEEE Trans. Knowl. Data Eng. Youru Li, Xiaobo Guo, Wenfang Lin, Mingjie Zhong, Qunwei Li, Zhongyi Liu, Wenliang Zhong, Zhenfeng Zhu
2023	J	`jnl`	MIVC: Multiple Instance Visual Component for Visual-Language Models. CoRR Wenyi Wu, Qi Li, Wenliang Zhong, Junzhou Huang
2023	J	`jnl`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2023	A*	`conf`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023	J	`jnl`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2022	A*	`conf`	Denoising Time Cycle Modeling for Recommendation. SIGIR Sicong Xie, Qunwei Li, Weidi Xu, Kaiming Shen, Shaohu Chen, Wenliang Zhong
2022	A*	`conf`	Multi-slots Online Matching with High Entropy. ICML Xingyu Lu, Qintong Wu, Wenliang Zhong
2022	A*	`conf`	Non-stationary Time-aware Kernelized Attention for Temporal Event Prediction. KDD Yu Ma, Zhining Liu, Chenyi Zhuang, Yize Tan, Yi Dong, Wenliang Zhong, Jinjie Gu
2022	A*	`conf`	On the Convergence of Stochastic Multi-Objective Gradient Manipulation and Beyond. NeurIPS Shiji Zhou, Wenpeng Zhang, Jiyan Jiang, Wenliang Zhong, Jinjie Gu, Wenwu Zhu
2022	A*	`conf`	Progressive Self-Attention Network with Unsymmetrical Positional Encoding for Sequential Recommendation. SIGIR Yuehua Zhu, Bo Huang, Shaohua Jiang, Muli Yang, Yanhua Yang, Wenliang Zhong
2022	A	`conf`	Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CIKM Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong
2022	J	`jnl`	Prototypical Contrastive Learning and Adaptive Interest Selection for Candidate Generation in Recommendations. CoRR Ningning Li, Qunwei Li, Xichen Ding, Shaohu Chen, Wenliang Zhong
2021	A*	`conf`	Learning Graph Neural Networks with Approximate Gradient Descent. AAAI Qunwei Li, Shaofeng Zou, Wenliang Zhong
2020	J	`jnl`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	Learning Graph Neural Networks with Approximate Gradient Descent. CoRR Qunwei Li, Shaofeng Zou, Wenliang Zhong
2019	A	`conf`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2015	A*	`conf`	Fast Low-Rank Matrix Learning with Nonconvex Regularization. ICDM Quanming Yao, James T. Kwok, Wenliang Zhong
2015	J	`jnl`	Fast Low-Rank Matrix Learning with Nonconvex Regularization. CoRR Quanming Yao, James Tin-Yau Kwok, Wenliang Zhong
2015	A*	`conf`	Stock Constrained Recommendation in Tmall. KDD Wenliang Zhong, Rong Jin, Cheng Yang, Xiaowei Yan, Qi Zhang, Qiang Li
2014	A	`conf`	Accelerated Stochastic Gradient Method for Composite Regularization. AISTATS Wenliang Zhong, James Tin-Yau Kwok
2014	A*	`conf`	Fast Stochastic Alternating Direction Method of Multipliers. ICML Wenliang Zhong, James Tin-Yau Kwok
2014	A*	`conf`	Gradient Descent with Proximal Average for Nonconvex and Composite Regularization. AAAI Wenliang Zhong, James T. Kwok
2014	J	`jnl`	Topology optimization based on moving deformable components: A new computational framework. CoRR Xu Guo, Weisheng Zhang, Wenliang Zhong
2013	A*	`conf`	Accurate Probability Calibration for Multiple Classifiers. IJCAI Wenliang Zhong, James T. Kwok
2012	J	`jnl`	Convex Multitask Learning with Flexible Task Clusters CoRR Wenliang Zhong, James Tin-Yau Kwok
2012	A*	`conf`	Convex Multitask Learning with Flexible Task Clusters. ICML Wenliang Zhong, James Tin-Yau Kwok
2011	A*	`conf`	Efficient Sparse Modeling with Automatic Feature Grouping. ICML Wenliang Zhong, James T. Kwok
2010	J	`jnl`	Incorporating the loss function into discriminative clustering of structured outputs. IEEE Trans. Neural Networks Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang