Zhen Wang - RankMe

44 papers A* 20A 3B 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BindCLIP: A Unified Contrastive-Generative Representation Learning Framework for Virtual Screening. CoRR Anjie Qiao, Zhen Wang, Yaliang Li, Jiahua Rao, Yuedong Yang
2025	J	`jnl`	A 3D pocket-aware and affinity-guided diffusion model for lead optimization. CoRR Anjie Qiao, Junjie Xie, Weifeng Huang, Hao Zhang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang, Zhen Wang, Guo-Bo Li, Jinping Lei
2025	A*	`conf`	Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. AAAI Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei
2025	A*	`conf`	Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective. ICLR Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng
2025	—	`conf`	Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Molecular Graph Learning. KDD (2) Jiahua Rao, Hanjing Lin, Jiancong Xie, Zhen Wang, Shuangjia Zheng, Yuedong Yang
2025	J	`jnl`	ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. CoRR Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	B	`conf`	SAMAG: Structure-Aware Multi-Agent Graph Generation with Large Language Models. IEEE Big Data Jingcheng Cen, Jiarui Ji, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025	J	`jnl`	VeriSciQA: An Auto-Verified Dataset for Scientific Visual Question Answering. CoRR Yuyi Li, Daoyuan Chen, Zhen Wang, Yutong Lu, Yaliang Li
2024	A*	`conf`	A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. NeurIPS Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen
2024	A*	`conf`	Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. WWW Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei
2024	A	`conf`	Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. CIKM Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu
2024	J	`jnl`	Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. CoRR Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang
2024	J	`jnl`	Is Sharing Neighbor Generator in Federated Graph Learning Safe? IEEE Trans. Knowl. Data Eng. Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding
2024	A*	`conf`	Learning Superconductivity from Ordered and Disordered Material Structures. NeurIPS Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu
2024	J	`jnl`	When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. IEEE Trans. Knowl. Data Eng. Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2023	J	`jnl`	BASE: Bridging the Gap between Cost and Latency for Query Optimization. Proc. VLDB Endow. Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng
2023	A*	`conf`	FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. ICML Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2023	J	`jnl`	FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. Proc. VLDB Endow. Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2023	J	`jnl`	HPN: Personalized Federated Hyperparameter Optimization. CoRR Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng
2023	J	`jnl`	LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. CoRR Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	A*	`conf`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. NeurIPS Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	J	`jnl`	EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. CoRR Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei
2022	A*	`conf`	Explainable Neural Rule Learning. WWW Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang
2022	J	`jnl`	FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. CoRR Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li
2022	A*	`conf`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. KDD Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. CoRR Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou
2022	J	`jnl`	FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. CoRR Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou
2022	A*	`conf`	Finding Meta Winning Ticket to Train Your MAML. KDD Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding
2022	A*	`conf`	Graph Neural Networks with Node-wise Architecture. KDD Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding
2022	A*	`conf`	KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. WWW Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han
2022	A	`conf`	MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. CIKM Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu
2022	A*	`conf`	iFlood: A Stable and Effective Regularizer. ICLR Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding
2021	A*	`conf`	AutoML: A Perspective where Industry Meets Academy. KDD Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang
2021	A	`conf`	AutoML: From Methodology to Application. CIKM Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang
2021	A*	`conf`	FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2020	A*	`conf`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. IJCAI Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. CoRR Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou
2020	J	`jnl`	Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou
2019	A*	`conf`	AliISA: Creating an Interactive Search Experience in E-commerce Platforms. SIGIR Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong
2019	J	`jnl`	Artificial Intelligence for Prosthetics - challenge solutions. CoRR Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaskowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy D. Watson, Marcel Salathé, Sergey Levine, Scott L. Delp
2015	A*	`conf`	Aligning Knowledge and Text Embeddings by Entity Descriptions. EMNLP Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen
2014	A*	`conf`	Knowledge Graph Embedding by Translating on Hyperplanes. AAAI Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen
2014	A*	`conf`	Knowledge Graph and Text Jointly Embedding. EMNLP Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen