Hande Dong

According to our database, Hande Dong authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

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

CoRR, August, 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

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