Chenhe Dong - RankMe

22 papers A* 1B 2Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance. WWW Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
2025	J	`jnl`	DyKnow-RAG: Dynamic Knowledge Utilization Reinforcement Framework for Noisy Retrieval-Augmented Generation in E-commerce Search Relevance. CoRR Tingqiao Xu, Shaowei Yao, Chenhe Dong, Yiming Jin, Zerui Huang, Dan Ou, Haihong Tang
2025	B	`conf`	Enhancing Factual Consistency in Text Summarization via Counterfactual Debiasing. COLING Zhenqing Ling, Yuexiang Xie, Chenhe Dong, Ying Shen
2025	J	`jnl`	TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance. CoRR Jianhui Yang, Yiming Jin, Pengkun Jiao, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
2025	J	`jnl`	TaoSR-SHE: Stepwise Hybrid Examination Reinforcement Learning Framework for E-commerce Search Relevance. CoRR Pengkun Jiao, Yiming Jin, Jianhui Yang, Chenhe Dong, Zerui Huang, Shaowei Yao, Xiaojiang Zhou, Dan Ou, Haihong Tang
2025	J	`jnl`	TaoSR1: The Thinking Model for E-commerce Relevance Search. CoRR Chenhe Dong, Shaowei Yao, Pengkun Jiao, Jianhui Yang, Yiming Jin, Zerui Huang, Xiaojiang Zhou, Dan Ou, Haihong Tang
2024	J	`jnl`	A Unified Framework for Contextual and Factoid Question Generation. IEEE Trans. Knowl. Data Eng. Chenhe Dong, Ying Shen, Shiyang Lin, Zhenzhou Lin, Yang Deng
2023	J	`jnl`	A Survey of Natural Language Generation. ACM Comput. Surv. Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang
2023	J	`jnl`	Counterfactual Debiasing for Generating Factually Consistent Text Summaries. CoRR Chenhe Dong, Yuexiang Xie, Yaliang Li, Ying Shen
2023	—	`conf`	Tunable Soft Prompts are Messengers in Federated Learning. EMNLP (Findings) Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2023	J	`jnl`	Tunable Soft Prompts are Messengers in Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2023	J	`jnl`	Unbiased curriculum learning enhanced global-local graph neural network for protein thermodynamic stability prediction. Bioinform. Haifan Gong, Yumeng Zhang, Chenhe Dong, Yue Wang, Guanqi Chen, Bilin Liang, Haofeng Li, Lanxuan Liu, Jie Xu, Guanbin Li
2022	J	`jnl`	A Benchmark for Federated Hetero-Task Learning. CoRR Liuyi Yao, Dawei Gao, Zhen Wang, Yuexiang Xie, Weirui Kuang, Daoyuan Chen, Haohui Wang, Chenhe Dong, Bolin Ding, Yaliang Li
2022	J	`jnl`	Collaborating Heterogeneous Natural Language Processing Tasks via Federated Learning. CoRR Chenhe Dong, Yuexiang Xie, Bolin Ding, Ying Shen, Yaliang Li
2022	—	`conf`	Cross-perspective Graph Contrastive Learning. KSEM (1) Shiyang Lin, Chenhe Dong, Ying Shen
2021	J	`jnl`	A Survey of Natural Language Generation. CoRR Chenhe Dong, Yinghui Li, Haifan Gong, Miaoxin Chen, Junxin Li, Ying Shen, Min Yang
2021	—	`conf`	EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
2021	J	`jnl`	EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
2021	—	`conf`	HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. EMNLP (1) Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
2021	J	`jnl`	HRKD: Hierarchical Relational Knowledge Distillation for Cross-domain Language Model Compression. CoRR Chenhe Dong, Yaliang Li, Ying Shen, Minghui Qiu
2021	J	`jnl`	Wasserstein Distance-Based Auto-Encoder Tracking. Neural Process. Lett. Long Xu, Ying Wei, Chenhe Dong, Chuaqiao Xu, Zhaofu Diao
2019	B	`conf`	Combination of Appearance and License Plate Features for Vehicle Re-Identification. ICIP Yanguang He, Chenhe Dong, Ying Wei