Hande Dong - RankMe

25 papers A* 4C 1Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code. AAAI Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao
2026	J	`jnl`	ReCreate: Reasoning and Creating Domain Agents Driven by Experience. CoRR Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen
2025	J	`jnl`	AP2O: Correcting LLM-Generated Code Errors Type by Type Like Humans via Adaptive Progressive Preference Optimization. CoRR Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao
2025	J	`jnl`	Accelerating IC Thermal Simulation Data Generation via Block Krylov and Operator Action. CoRR Hong Wang, Wenkai Yang, Jie Wang, Huanshuo Dong, Zijie Geng, Zhen Huang, Depeng Xie, Zhezheng Hao, Hande Dong
2025	—	`conf`	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse. Euro-Par (2) Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang
2025	J	`jnl`	EFIM: Efficient Serving of LLMs for Infilling Tasks with Improved KV Cache Reuse. CoRR Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang
2025	J	`jnl`	GAPO: Group Adaptive Policy Optimization for Real-World Code Edit. CoRR Jianqing Zhang, Zhezheng Hao, Wei Xia, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao
2025	J	`jnl`	ReDit: Reward Dithering for Improved LLM Policy Optimization. CoRR Chenxing Wei, Jiarui Yu, Ying Tiffany He, Hande Dong, Yao Shu, Fei Yu
2025	J	`jnl`	Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective. CoRR Zhezheng Hao, Hong Wang, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen
2025	J	`jnl`	Scheduling Your LLM Reinforcement Learning with Reasoning Trees. CoRR Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen
2025	A*	`conf`	UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models. ACM Multimedia Jinke Li, Jiarui Yu, Chenxing Wei, Hande Dong, Qiang Lin, Liangjing Yang, Zhicai Wang, Yanbin Hao
2025	J	`jnl`	UniSVG: A Unified Dataset for Vector Graphic Understanding and Generation with Multimodal Large Language Models. CoRR Jinke Li, Jiarui Yu, Chenxing Wei, Hande Dong, Qiang Lin, Liangjing Yang, Zhicai Wang, Yanbin Hao
2025	J	`jnl`	Unleashing the True Potential of LLMs: A Feedback-Triggered Self-Correction with Long-Term Multipath Decoding. CoRR Jipeng Li, Zeyu Gao, Yubin Qi, Hande Dong, Weijian Chen, Qiang Lin
2024	C	`conf`	Improving Code Search with Hard Negative Sampling Based on Fine-tuning. APSEC Hande Dong, Jiayi Lin, Yanlin Wang, Yichong Leng, Jiawei Chen, Yutao Xie
2024	J	`jnl`	Scaling Laws Behind Code Understanding Model. CoRR Jiayi Lin, Hande Dong, Yutao Xie, Lei Zhang
2024	J	`jnl`	Survey of Code Search Based on Deep Learning. ACM Trans. Softw. Eng. Methodol. Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu
2023	J	`jnl`	A Survey of Deep Code Search. CoRR Yutao Xie, Jiayi Lin, Hande Dong, Lei Zhang, Zhonghai Wu
2023	J	`jnl`	Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
2023	J	`jnl`	Retriever and Ranker Framework with Probabilistic Hard Negative Sampling for Code Search. CoRR Hande Dong, Jiayi Lin, Yichong Leng, Jiawei Chen, Yutao Xie
2021	A*	`conf`	AutoDebias: Learning to Debias for Recommendation. SIGIR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	J	`jnl`	AutoDebias: Learning to Debias for Recommendation. CoRR Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021	A*	`conf`	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2020	J	`jnl`	Bias and Debias in Recommender System: A Survey and Future Directions. CoRR Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He
2020	J	`jnl`	Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. CoRR Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi
2020	J	`jnl`	On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. CoRR Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui