Zheng Xie

Orcid: 0000-0001-6457-0887

Affiliations:
  • Nanjing University, LAMDA Group, China


According to our database1, Zheng Xie authored at least 14 papers between 2017 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Mitigating Negative Transfer via Reducing Environmental Disagreement.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2026

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation.
CoRR, April, 2026

2025
Probabilistic instance dependent label refinement for noisy label learning.
Mach. Learn., 2025

2024
Weakly Supervised AUC Optimization: A Unified Partial AUC Approach.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space.
Proceedings of the 18th ACM Conference on Recommender Systems, 2024

Ambiguity-Aware Abductive Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

AUC Optimization from Multiple Unlabeled Datasets.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Think Outside the Code: Brainstorming Boosts Large Language Models in Code Generation.
CoRR, 2023

Beyond Lexical Consistency: Preserving Semantic Consistency for Program Translation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Semi-supervised Learning with Support Isolation by Small-Paced Self-Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Cooperative and Adversarial Learning: Co-enhancing Discriminability and Transferability in Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2018
Cutting the Software Building Efforts in Continuous Integration by Semi-Supervised Online AUC Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Semi-Supervised AUC Optimization Without Guessing Labels of Unlabeled Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Music Style Analysis among Haydn, Mozart, and Beethoven: an Unsupervised Machine Learning Approach.
Proceedings of the 2017 International Computer Music Conference, 2017


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