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2020 – today
- 2025
[c4]Tianyu Guo
, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang:
EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse. Euro-Par (2) 2025: 335-348- [d1]Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang:
EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse. Zenodo, 2025
- [i16]Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang:
EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse. CoRR abs/2505.21889 (2025) - [i15]Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu:
ReDit: Reward Dithering for Improved LLM Policy Optimization. CoRR abs/2506.18631 (2025) - [i14]Jinke Li, Jiarui Yu, Chenxing Wei, Hande Dong, Qiang Lin, Liangjing Yang, Zhicai Wang, Yanbin Hao:
UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models. CoRR abs/2508.07766 (2025) - [i13]Jipeng Li, Zeyu Gao, Yubin Qi, Hande Dong, Weijian Chen, Qiang Lin:
Unleashing the True Potential of LLMs: A Feedback-Triggered Self-Correction with Long-Term Multipath Decoding. CoRR abs/2509.07676 (2025) - [i12]Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao:
AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization. CoRR abs/2510.02393 (2025) - [i11]Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen:
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective. CoRR abs/2510.10150 (2025) - [i10]Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao:
GAPO: Group Adaptive Policy Optimization for Real-World Code Edit. CoRR abs/2510.21830 (2025) - [i9]Hong Wang, Wenkai Yang, Jie Wang, Huanshuo Dong, Zijie Geng, Zhen Huang, Depeng Xie, Zhezheng Hao, Hande Dong:
Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action. CoRR abs/2510.23221 (2025) - [i8]Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen:
Scheduling Your LLM Reinforcement Learning with Reasoning Trees. CoRR abs/2510.24832 (2025) - 2024
- [j2]Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu:
Survey of Code Search Based on Deep Learning. ACM Trans. Softw. Eng. Methodol. 33(2): 54:1-54:42 (2024) - [c3]Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie:
Improving Code Search with Hard Negative Sampling Based on Fine-tuning. APSEC 2024: 221-230 - [i7]Jiayi Lin, Hande Dong, Yutao Xie, Lei Zhang:
Scaling Laws Behind Code Understanding Model. CoRR abs/2402.12813 (2024) - 2023
- [j1]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41(3): 67:1-67:39 (2023) - [i6]Hande Dong, Jiayi Lin, Yichong Leng, Jiawei Chen, Yutao Xie:
Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search. CoRR abs/2305.04508 (2023) - [i5]Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu:
A Survey of Deep Code Search. CoRR abs/2305.05959 (2023) - 2021
- [c2]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021: 21-30 - [c1]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW 2021: 3651-3662 - [i4]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. CoRR abs/2105.04170 (2021) - 2020
- [i3]Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi:
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. CoRR abs/2006.13090 (2020) - [i2]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. CoRR abs/2010.03240 (2020) - [i1]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. CoRR abs/2010.12408 (2020)
Coauthor Index
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