Knowledge Graph Embedding by Translating on Hyperplanes. - Zhen Wang 036; Jianwen Zhang; Jianlin Feng; Zheng Chen 001 (AAAI, 2014)

Knowledge Graph and Text Jointly Embedding. - Zhen Wang 036; Jianwen Zhang; Jianlin Feng; Zheng Chen 001 (EMNLP, 2014)

Aligning Knowledge and Text Embeddings by Entity Descriptions. - Huaping Zhong; Jianwen Zhang; Zhen Wang 036; Hai Wan; Zheng Chen 001 (EMNLP, 2015)

AliISA: Creating an Interactive Search Experience in E-commerce Platforms. - Fei Xiao; Zhen Wang 036; Haikuan Huang; Jun Huang 007; Xi Chen; Hongbo Deng; Minghui Qiu; Xiaoli Gong (SIGIR, 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 021; Rongzhong Lian; Hao Tian 005; Wojciech Jaskowski; Garrett Andersen; et al. (CoRR, 2019)

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search. - Daoyuan Chen; Yaliang Li; Minghui Qiu; Zhen Wang 036; Bofang Li; Bolin Ding; Hongbo Deng; Jun Huang 007; Wei Lin 016; Jingren Zhou 001 (IJCAI, 2020)

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (CoRR, 2020)

AutoML: From Methodology to Application. - Yaliang Li; Zhen Wang 036; Yuexiang Xie; Bolin Ding; Kai Zeng 002; Ce Zhang 001 (CIKM, 2021)

AutoML: A Perspective where Industry Meets Academy. - Yaliang Li; Zhen Wang 036; Bolin Ding; Ce Zhang 001 (KDD, 2021)

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Bolin Ding; Nezihe Merve Gürel; Ce Zhang 001; Minlie Huang; Wei Lin 016; Jingren Zhou 001 (KDD, 2021)

MGMAE: Molecular Representation Learning by Reconstructing Heterogeneous Graphs with A High Mask Ratio. - Jinjia Feng; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei; Hongteng Xu (CIKM, 2022)

iFlood: A Stable and Effective Regularizer. - Yuexiang Xie; Zhen Wang 036; Yaliang Li; Ce Zhang 001; Jingren Zhou 001; Bolin Ding (ICLR, 2022)

Finding Meta Winning Ticket to Train Your MAML. - Dawei Gao; Yuexiang Xie; Zimu Zhou; Zhen Wang 036; Yaliang Li; Bolin Ding (KDD, 2022)

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning. - Zhen Wang 036; Weirui Kuang; Yuexiang Xie; Liuyi Yao; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2022)

Graph Neural Networks with Node-wise Architecture. - Zhen Wang 036; Zhewei Wei; Yaliang Li; Weirui Kuang; Bolin Ding (KDD, 2022)

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks. - Runlin Lei; Zhen Wang 036; Yaliang Li; Bolin Ding; Zhewei Wei (NeurIPS, 2022)

Explainable Neural Rule Learning. - Shaoyun Shi; Yuexiang Xie; Zhen Wang 036; Bolin Ding; Yaliang Li; Min Zhang 006 (WWW, 2022)

KoMen: Domain Knowledge Guided Interaction Recommendation for Emerging Scenarios. - Yiqing Xie; Zhen Wang 036; Carl Yang 001; Yaliang Li; Bolin Ding; Hongbo Deng; Jiawei Han 001 (WWW, 2022)

FederatedScope: A Comprehensive and Flexible Federated Learning Platform via Message Passing. - Yuexiang Xie; Zhen Wang 036; Daoyuan Chen; Dawei Gao; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2022)

A Benchmark for Federated Hetero-Task Learning. - Liuyi Yao; Dawei Gao; Zhen Wang 036; Yuexiang Xie; Weirui Kuang; Daoyuan Chen; Haohui Wang; Chenhe Dong; Bolin Ding; Yaliang Li (CoRR, 2022)

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (CoRR, 2022)

FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization. - Zhen Wang 036; Weirui Kuang; Ce Zhang 001; Bolin Ding; Yaliang Li (ICML, 2023)

LON-GNN: Spectral GNNs with Learnable Orthonormal Basis. - Qian Tao; Zhen Wang 036; Wenyuan Yu; Yaliang Li; Zhewei Wei (CoRR, 2023)

HPN: Personalized Federated Hyperparameter Optimization. - Anda Cheng; Zhen Wang 036; Yaliang Li; Jian Cheng 001 (CoRR, 2023)

BASE: Bridging the Gap between Cost and Latency for Query Optimization. - Xu Chen 023; Zhen Wang 036; Shuncheng Liu 001; Yaliang Li; Kai Zeng 002; Bolin Ding; Jingren Zhou 001; Han Su 001; Kai Zheng 001 (Proc. VLDB Endow., 2023)

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity. - Yuexiang Xie; Zhen Wang 036; Dawei Gao; Daoyuan Chen; Liuyi Yao; Weirui Kuang; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

Federated Heterogeneous Contrastive Distillation for Molecular Representation Learning. - Jinjia Feng; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding; Hongteng Xu (CIKM, 2024)

Learning Superconductivity from Ordered and Disordered Material Structures. - Pin Chen; Luoxuan Peng; Rui Jiao; Qing Mo; Zhen Wang 036; Wenbing Huang 001; Yang Liu 005; Yutong Lu (NeurIPS, 2024)

A Swiss Army Knife for Heterogeneous Federated Learning: Flexible Coupling via Trace Norm. - Tianchi Liao; Lele Fu; Jialong Chen; Zhen Wang 036; Zibin Zheng; Chuan Chen 001 (NeurIPS, 2024)

Exploring Neural Scaling Law and Data Pruning Methods For Node Classification on Large-scale Graphs. - Zhen Wang 036; Yaliang Li; Bolin Ding; Yule Li; Zhewei Wei (WWW, 2024)

Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networks. - Jiahua Rao; Jiancong Xie; Hanjing Lin; Shuangjia Zheng; Zhen Wang 036; Yuedong Yang (CoRR, 2024)

When Transformer Meets Large Graphs: An Expressive and Efficient Two-View Architecture. - Weirui Kuang; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Is Sharing Neighbor Generator in Federated Graph Learning Safe? - Liuyi Yao; Zhen Wang 036; Yuexiang Xie; Yaliang Li; Weirui Kuang; Daoyuan Chen; Bolin Ding (IEEE Trans. Knowl. Data Eng., 2024)

Advancing Retrosynthesis with Retrieval-Augmented Graph Generation. - Anjie Qiao; Zhen Wang 036; Jiahua Rao; Yuedong Yang; Zhewei Wei (AAAI, 2025)

Graph Neural Ricci Flow: Evolving Feature from a Curvature Perspective. - Jialong Chen; Bowen Deng; Zhen Wang 036; Chuan Chen 001; Zibin Zheng (ICLR, 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 036; Guo-Bo Li; Jinping Lei (CoRR, 2025)

ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions. - Yule Li; Yifeng Lu; Zhen Wang 036; Zhewei Wei; Yaliang Li; Bolin Ding (CoRR, 2025)