Zenan Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Linear Classification

Error Reduction

Top Venues

ESEC/SIGSOFT FSE

Publications

Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü
Learning with Logical Constraints but without Shortcut Satisfaction. CoRR (2024)
Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü
Softened Symbol Grounding for Neuro-symbolic Systems. CoRR (2024)
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. ICRA (2024)
Zhaoyu Li, Jialiang Sun, Logan Murphy, Qidong Su, Zenan Li, Xian Zhang, Kaiyu Yang, Xujie Si
A Survey on Deep Learning for Theorem Proving. CoRR (2024)
Zenan Li, Zehua Liu, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lü
Learning with Logical Constraints but without Shortcut Satisfaction. ICLR (2023)
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
Uncertainty-Aware Decision Transformer for Stochastic Driving Environments. CoRR (2023)
Zenan Li, Yunpeng Huang, Zhaoyu Li, Yuan Yao, Jingwei Xu, Taolue Chen, Xiaoxing Ma, Jian Lu
Neuro-symbolic Learning Yielding Logical Constraints. NeurIPS (2023)
Zenan Li, Yuan Yao, Taolue Chen, Jingwei Xu, Chun Cao, Xiaoxing Ma, Jian Lü
Softened Symbol Grounding for Neuro-symbolic Systems. ICLR (2023)
Senrong Xu, Liangyue Li, Zenan Li, Yuan Yao, Feng Xu, Zulong Chen, Quan Lu, Hanghang Tong
On the Vulnerability of Graph Learning-based Collaborative Filtering. ACM Trans. Inf. Syst. 41 (4) (2023)
Zenan Li, Maorun Zhang, Jingwei Xu, Yuan Yao, Chun Cao, Taolue Chen, Xiaoxing Ma, Jian Lu
Lightweight Approaches to DNN Regression Error Reduction: An Uncertainty Alignment Perspective. ICSE (2023)
Yunpeng Huang, Jingwei Xu, Zixu Jiang, Junyu Lai, Zenan Li, Yuan Yao, Taolue Chen, Lijuan Yang, Zhou Xin, Xiaoxing Ma
Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey. CoRR (2023)
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
OriWheelBot: An origami-wheeled robot. CoRR (2023)
Qitian Wu, Wentao Zhao, Zenan Li, David Wipf, Junchi Yan
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. CoRR (2023)
Zenan Li, Fan Nie, Qiao Sun, Fang Da, Hang Zhao
Boosting Offline Reinforcement Learning for Autonomous Driving with Hierarchical Latent Skills. CoRR (2023)
Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Xijun Li, Mingxuan Yuan, Jia Zeng, Xiaokang Yang, Junchi Yan
ROCO: A General Framework for Evaluating Robustness of Combinatorial Optimization Solvers on Graphs. ICLR (2023)
Jian Xie, Jingwei Xu, Guochang Wang, Yuan Yao, Zenan Li, Chun Cao, Hanghang Tong
A Deep Learning Dataloader with Shared Data Preparation. NeurIPS (2022)
Zenan Li, Qitian Wu, Fan Nie, Junchi Yan
GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs. NeurIPS (2022)
Han Lu, Zenan Li, Runzhong Wang, Qibing Ren, Junchi Yan, Xiaokang Yang
Mind Your Solver! On Adversarial Attack and Defense for Combinatorial Optimization. CoRR (2022)
Qitian Wu, Wentao Zhao, Zenan Li, David P. Wipf, Junchi Yan
NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification. NeurIPS (2022)
Ruoxin Chen, Zenan Li, Jie Li, Chentao Wu, Junchi Yan
On Collective Robustness of Bagging Against Data Poisoning. CoRR (2022)
Ji Liu, Zenan Li, Yuan Yao, Feng Xu, Xiaoxing Ma, Miao Xu, Hanghang Tong
Fair Representation Learning: An Alternative to Mutual Information. KDD (2022)
Ruoxin Chen, Zenan Li, Jie Li, Junchi Yan, Chentao Wu
On Collective Robustness of Bagging Against Data Poisoning. ICML (2022)
Jingwei Xu, Siyuan Zhu, Zenan Li, Chang Xu
Joint Distribution across Representation Space for Out-of-Distribution Detection. CoRR (2021)
Jun Cai, Zeting Yu, Zenan Li, Han Han, Bo Zhang, Xiaodong Yi
A Network Topology Awareness Based Probabilistic Broadcast Protocol for Data Transmission in Mobile Ad Hoc Networks. ICCCS (2021)
Yingzhuo Yang, Zenan Li, Huiyan Wang, Chang Xu, Xiaoxing Ma
Towards effective metamorphic testing by algorithm stability for linear classification programs. J. Syst. Softw. 180 (2021)
Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Taolue Chen, Xiaoxing Ma
Predicted Robustness as QoS for Deep Neural Network Models. J. Comput. Sci. Technol. 35 (5) (2020)
Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lu
Operational calibration: debugging confidence errors for DNNs in the field. ESEC/SIGSOFT FSE (2020)
Zenan Li, Xiaoxing Ma, Chang Xu, Jingwei Xu, Chun Cao, Jian Lü
Operational Calibration: Debugging Confidence Errors for DNNs in the Field. CoRR (2019)
Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lü
Boosting operational DNN testing efficiency through conditioning. ESEC/SIGSOFT FSE (2019)
Yue-Huan Wang, Zenan Li, Jingwei Xu, Ping Yu, Xiaoxing Ma
Fast Robustness Prediction for Deep Neural Network. Internetware (2019)
Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao, Jingwei Xu, Jian Lu
Boosting Operational DNN Testing Efficiency through Conditioning. CoRR (2019)
Zenan Li, Xiaoxing Ma, Chang Xu, Chun Cao
Structural coverage criteria for neural networks could be misleading. ICSE (NIER) (2019)