Zhen Wang

According to our database, Zhen Wang authored at least 37 papers between 2014 and 2025.

Collaborative distances:

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

2025

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions.

Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding

CoRR, July, 2025

A 3D pocket-aware and affinity-guided diffusion model for lead optimization.

Anjie Qiao, Junjie Xie, Weifeng Huang, Hao Zhang, Jiahua Rao, Shuangjia Zheng, Yuedong Yang, Zhen Wang, Guo-Bo Li, Jinping Lei

CoRR, April, 2025

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective.

Jialong Chen, Bowen Deng, Zhen Wang, Chuan Chen, Zibin Zheng

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Advancing Retrosynthesis with Retrieval-Augmented Graph Generation.

Anjie Qiao, Zhen Wang, Jiahua Rao, Yuedong Yang, Zhewei Wei

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Is Sharing Neighbor Generator in Federated Graph Learning Safe?

Liuyi Yao, Zhen Wang, Yuexiang Xie, Yaliang Li, Weirui Kuang, Daoyuan Chen, Bolin Ding

IEEE Trans. Knowl. Data Eng., December, 2024

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture.

Weirui Kuang, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding

IEEE Trans. Knowl. Data Eng., October, 2024

Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks.

Jiahua Rao, Jiancong Xie, Hanjing Lin, Shuangjia Zheng, Zhen Wang, Yuedong Yang

CoRR, 2024

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs.

Zhen Wang, Yaliang Li, Bolin Ding, Yule Li, Zhewei Wei

Proceedings of the ACM on Web Conference 2024, 2024

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm.

Tianchi Liao, Lele Fu, Jialong Chen, Zhen Wang, Zibin Zheng, Chuan Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Superconductivity from Ordered and Disordered Material Structures.

Pin Chen, Luoxuan Peng, Rui Jiao, Qing Mo, Zhen Wang, Wenbing Huang, Yang Liu, Yutong Lu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning.

Jinjia Feng, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding, Hongteng Xu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity.

Yuexiang Xie, Zhen Wang, Dawei Gao, Daoyuan Chen, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

Proc. VLDB Endow., 2023

BASE: Bridging the Gap between Cost and Latency for Query Optimization.

Xu Chen, Zhen Wang, Shuncheng Liu, Yaliang Li, Kai Zeng, Bolin Ding, Jingren Zhou, Han Su, Kai Zheng

Proc. VLDB Endow., 2023

HPN: Personalized Federated Hyperparameter Optimization.

Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng

CoRR, 2023

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis.

Qian Tao, Zhen Wang, Wenyuan Yu, Yaliang Li, Zhewei Wei

CoRR, 2023

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

Proceedings of the International Conference on Machine Learning, 2023

2022

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization.

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li

CoRR, 2022

A Benchmark for Federated Hetero-Task Learning.

Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li

CoRR, 2022

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing.

Yuexiang Xie, Zhen Wang, Daoyuan Chen, Dawei Gao, Liuyi Yao, Weirui Kuang, Yaliang Li, Bolin Ding, Jingren Zhou

CoRR, 2022

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios.

Yiqing Xie, Zhen Wang, Carl Yang, Yaliang Li, Bolin Ding, Hongbo Deng, Jiawei Han

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Explainable Neural Rule Learning.

Shaoyun Shi, Yuexiang Xie, Zhen Wang, Bolin Ding, Yaliang Li, Min Zhang

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks.

Runlin Lei, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei

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

Graph Neural Networks with Node-wise Architecture.

Zhen Wang, Zhewei Wei, Yaliang Li, Weirui Kuang, Bolin Ding

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

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning.

Zhen Wang, Weirui Kuang, Yuexiang Xie, Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou

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

Finding Meta Winning Ticket to Train Your MAML.

Dawei Gao, Yuexiang Xie, Zimu Zhou, Zhen Wang, Yaliang Li, Bolin Ding

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

iFlood: A Stable and Effective Regularizer.

Yuexiang Xie, Zhen Wang, Yaliang Li, Ce Zhang, Jingren Zhou, Bolin Ding

Proceedings of the Tenth International Conference on Learning Representations, 2022

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio.

Jinjia Feng, Zhen Wang, Yaliang Li, Bolin Ding, Zhewei Wei, Hongteng Xu

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

2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoML: A Perspective where Industry Meets Academy.

Yaliang Li, Zhen Wang, Bolin Ding, Ce Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

AutoML: From Methodology to Application.

Yaliang Li, Zhen Wang, Yuexiang Xie, Bolin Ding, Kai Zeng, Ce Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Artificial Intelligence for Prosthetics - challenge solutions.

Lukasz Kidzinski, Carmichael F. Ong, Sharada Prasanna Mohanty, Jennifer L. Hicks, Sean F. Carroll, Bo Zhou, Hong-cheng 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

CoRR, 2019

AliISA: Creating an Interactive Search Experience in E-commerce Platforms.

Fei Xiao, Zhen Wang, Haikuan Huang, Jun Huang, Xi Chen, Hongbo Deng, Minghui Qiu, Xiaoli Gong

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

2015

Aligning Knowledge and Text Embeddings by Entity Descriptions.

Huaping Zhong, Jianwen Zhang, Zhen Wang, Hai Wan, Zheng Chen

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Knowledge Graph and Text Jointly Embedding.

Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Knowledge Graph Embedding by Translating on Hyperplanes.

Zhen Wang, Jianwen Zhang, Jianlin Feng, Zheng Chen

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