Zenan Li

According to our database, Zenan Li authored at least 26 papers between 2019 and 2024.

Collaborative distances:

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

2024

Learning with Logical Constraints but without Shortcut Satisfaction.

Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü

CoRR, 2024

Softened Symbol Grounding for Neuro-symbolic Systems.

Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü

CoRR, 2024

2023

On the Vulnerability of Graph Learning-based Collaborative Filtering.

Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong

ACM Trans. Inf. Syst., October, 2023

Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.

Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma

CoRR, 2023

OriWheelBot: An origami-wheeled robot.

Jie Liu, Zufeng Pang, Zhiyong Li, Guilin Wen, Zhoucheng Su, Junfeng He, Kaiyue Liu, Dezheng Jiang, Zenan Li, Shouyan Chen, Yang Tian, Yi Min Xie, Zhenpei Wang, Zhuangjian Liu

CoRR, 2023

Uncertainty-Aware Decision Transformer for Stochastic Driving Environments.

Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao

CoRR, 2023

Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills.

Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao

CoRR, 2023

Neuro-symbolic Learning Yielding Logical Constraints.

Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective.

Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs.

Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning with Logical Constraints but without Shortcut Satisfaction.

Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Softened Symbol Grounding for Neuro-symbolic Systems.

Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization.

Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang

CoRR, 2022

A Deep Learning Dataloader with Shared Data Preparation.

Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong

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

NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification.

Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan

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

GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs.

Zenan Li, Qitian Wu, Fan Nie, Junchi Yan

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

Fair Representation Learning: An Alternative to Mutual Information.

Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong

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

On Collective Robustness of Bagging Against Data Poisoning.

Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu

Proceedings of the International Conference on Machine Learning, 2022

2021

Towards effective metamorphic testing by algorithm stability for linear classification programs.

Yingzhuo Yang, Zenan Li, Huiyan Wang, Chang Xu, Xiaoxing Ma

J. Syst. Softw., 2021

Joint Distribution across Representation Space for Out-of-Distribution Detection.

Jingwei Xu, Siyuan Zhu, Zenan Li, Chang Xu

CoRR, 2021

A Network Topology Awareness Based Probabilistic Broadcast Protocol for Data Transmission in Mobile Ad Hoc Networks.

Jun Cai, Zeting Yu, Zenan Li, Han Han, Bo Zhang, Xiaodong Yi

Proceedings of the 6th IEEE International Conference on Computer and Communication Systems, 2021

2020

Predicted Robustness as QoS for Deep Neural Network Models.

Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Taolue Chen, Xiaoxing Ma

J. Comput. Sci. Technol., 2020

Operational calibration: debugging confidence errors for DNNs in the field.

Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lu

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019

Boosting operational DNN testing efficiency through conditioning.

Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lü

Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Fast Robustness Prediction for Deep Neural Network.

Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma

Proceedings of the Internetware '19: The 11th Asia-Pacific Symposium on Internetware, 2019

Structural coverage criteria for neural networks could be misleading.

Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao

Proceedings of the 41st International Conference on Software Engineering: New Ideas and Emerging Results, 2019