Hande Dong

According to our database, Hande Dong authored at least 23 papers between 2020 and 2026.

Collaborative distances:

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

2026

LEPO: Latent Reasoning Policy Optimization for Large Language Models.

Yuyan Zhou, Jiarui Yu, Hande Dong, Zhezheng Hao, Hong Wang, Jianqing Zhang, Qiang Lin

CoRR, April, 2026

Scaling Human-AI Coding Collaboration Requires a Governable Consensus Layer.

Tianfu Wang, Zhezheng Hao, Yin Wu, Wei Wu, Qiang Lin, Hande Dong, Nicholas Jing Yuan, Hui Xiong

CoRR, April, 2026

ReCreate: Reasoning and Creating Domain Agents Driven by Experience.

Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen

CoRR, January, 2026

AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code.

Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Scheduling Your LLM Reinforcement Learning with Reasoning Trees.

Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen

CoRR, October, 2025

Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action.

Hong Wang, Wenkai Yang, Jie Wang, Huanshuo Dong, Zijie Geng, Zhen Huang, Depeng Xie, Zhezheng Hao, Hande Dong

CoRR, October, 2025

GAPO: Group Adaptive Policy Optimization for Real-World Code Edit.

Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao

CoRR, October, 2025

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective.

Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen

CoRR, October, 2025

AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization.

Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao

CoRR, October, 2025

Unleashing the True Potential of LLMs: A Feedback-Triggered Self-Correction with Long-Term Multipath Decoding.

Jipeng Li, Zeyu Gao, Yubin Qi, Hande Dong, Weijian Chen, Qiang Lin

CoRR, September, 2025

ReDit: Reward Dithering for Improved LLM Policy Optimization.

Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu

CoRR, June, 2025

EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse.

Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang

Dataset, June, 2025

UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models.

Jinke Li, Jiarui Yu, Chenxing Wei, Hande Dong, Qiang Lin, Liangjing Yang, Zhicai Wang, Yanbin Hao

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse.

Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang

Proceedings of the Euro-Par 2025: Parallel Processing, 2025

2024

Survey of Code Search Based on Deep Learning.

Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu

ACM Trans. Softw. Eng. Methodol., February, 2024

Scaling Laws Behind Code Understanding Model.

Jiayi Lin, Hande Dong, Yutao Xie, Lei Zhang

CoRR, 2024

Improving Code Search with Hard Negative Sampling Based on Fine-tuning.

Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie

Proceedings of the 31st Asia-Pacific Software Engineering Conference, 2024

2023

Bias and Debias in Recommender System: A Survey and Future Directions.

Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He

ACM Trans. Inf. Syst., 2023

A Survey of Deep Code Search.

Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu

CoRR, 2023

Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search.

Hande Dong, Jiayi Lin, Yichong Leng, Jiawei Chen, Yutao Xie

CoRR, 2023

2021

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation.

Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoDebias: Learning to Debias for Recommendation.

Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning.

Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi

CoRR, 2020