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Author

Hande Dong

Observed names: Dong, Hande, Gong, Linxiao
ORCID: 0000-0003-0074-2664
Observed ORCID: 0000-0003-0074-2664
OpenAlex ID: A5007017628
Bias and Debias in Recommender System: A Survey and Future Directions
2022 · Jiawei Chen, Hande Dong, et al. · ACM Transactions on Information Systems · 740
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On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
2021 · Hande Dong, Jiawei Chen, et al. · International World Wide Web Conference (WWW) · 86
Survey of Code Search Based on Deep Learning
2023 · Yutao Xie, Jiayi Lin, et al. · ACM Transactions on Software Engineering and Methodology · 24
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Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning
2020 · Dong, Hande, Ding, Zhaolin, et al. · arXiv (Cornell University) · 4
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Improving Code Search with Hard Negative Sampling Based on Fine-tuning
2024 · Hande Dong, Jiayi Lin, et al. · Asia-Pacific Software Engineering Conference (APSEC) · 2
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GAPO: Robust Advantage Estimation for Real-World Code LLMs
2026 · Jianqing Zhang, Zhezheng Hao, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models
2025 · Jinke Li, Jiarui Yu, et al. · ACM International Conference on Multimedia (ACM MM) · 1
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Learning from Interaction Experience via Localized Context Distillation
2026 · Hao, Zhezheng, Yang, Yongkang, et al. · arXiv (Cornell University)
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XRepoSkill: Learning Transferable Skills for Software Engineering Agents
2026 · Guo, Yaoqi, Zhou, Haoyang, et al. · arXiv (Cornell University)
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Matching Supervision to the Student's Learning Capacity: A Unified Framework for On-Policy Self-Distillation
2026 · Yang, Yongkang, Hao, Zhezheng, et al. · arXiv (Cornell University)
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Benchmarking the Residual: What Long-Horizon Evaluations Add Beyond Matched Short-Task Performance
2026 · Peng, Chao, Lyu, Zhiheng, et al. · arXiv (Cornell University)
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Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction
2026 · Tencent WorkBuddy Bench Team, Cai, Siqi, et al. · arXiv (Cornell University)
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ReCreate: Reasoning and Creating Domain Agents Driven by Experience
2026 · Association for Computational Linguistics 2026, ., Cheaterlin, et al. · Underline Science Inc.
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
2026 · Association for Computational Linguistics 2026, ., Cheaterlin, et al. · Underline Science Inc.
Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
2026 · Hao, Zhezheng, Wang, Tianfu, et al. · arXiv (Cornell University)
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Echo: Learning from Experience Data via User-Driven Refinement
2026 · Dong, Hande, Liang, Xiaoyun, et al. · arXiv (Cornell University)
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PDEAgent-Bench: A Multi-Metric, Multi-Library Benchmark for PDE Solver Generation
2026 · Hang, Zhen, Yashengjiang, Yushan, et al. · arXiv (Cornell University)
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Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer
2026 · Wang, Tianfu, Hao, Zhezheng, et al. · arXiv (Cornell University)
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LEPO: Latent Reasoning Policy Optimization for Large Language Models
2026 · Zhou, Yuyan, Yu, Jiarui, et al. · arXiv (Cornell University)
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AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
2026 · Jianqing Zhang, Wei Xia, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
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ReCreate: Reasoning and Creating Domain Agents Driven by Experience
2026 · Hao, Zhezheng, Wang, Hong, et al. · arXiv (Cornell University)
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AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code
2026 · Association for Artificial Intelligence 2026, ., Cheaterlin, et al. · Underline Science Inc.
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
2026 · Zhezheng Hao, Hong Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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LEPO: Latent Reasoning Policy Optimization for Large Language Models
2026 · Yuyan Zhou, Jiarui Yu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
2026 · Zhezheng Hao, Hong Wang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 37
Citation count: 859
H-index: 4
I10-index: 3
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