Jianghao Lin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
34
Venues
11
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
34 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Progra: Progress-Aware Reinforcement Learning for Multi-Turn Function Calling. | Huacan Chai, Zijie Cao, Maolin Ran, Yingxuan Yang, Jianghao Lin, Xin Peng, Hairui Wang, Renjie Ding, Ziyu Wan, Muning Wen, Weiwen Liu, Weinan Zhang, Fei Huang, Ying Wen |
| 2026 | ACL | ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling. | Jianghao Lin, Yuanyuan Shi, Xin Peng, Renjie Ding, Hairui Wang, Yuxuan Peng, Bizhe Bai, Weixi Song, Fengshuo Bai, Huacan Chai, Weinan Zhang, Fei Huang, Ying Wen |
| 2026 | ACL | A Survey of Large Language Model-Based Search Agents. | Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang |
| 2026 | ACL | A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage. | Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang |
| 2026 | DASFAA | Generative Representational Learning of Foundation Models for Recommendation. | Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2026 | KDD | Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. | Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao |
| 2026 | SIGIR | Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation. | Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | ACL | Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. | Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | APWEB | A Retrieval-Enhanced Click Model for Web Search. | Yao Li, Jianghao Lin, Weiwen Liu, Weinan Zhang |
| 2025 | CIKM | LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. | Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2025 | CSCWD | Global Graph Attention for Contrastive Sequential Recommendation. | Zhijin Chen, Dong Zhou, Jianghao Lin, Wentao Huang, Xingran Zhou, Aimin Yang |
| 2025 | KDD | Diffusion Models for Recommender Systems: From Content Distribution To Content Creation. | Jianghao Lin, Yang Cao, Yong Yu, Weinan Zhang |
| 2025 | KDD | An Automatic Graph Construction Framework based on Large Language Models for Recommendation. | Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | WWW | Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. | Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. | Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. | Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen |
| 2025 | SIGIR | Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. | Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu |
| 2024 | CIKM | ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. | Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | CIKM | SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. | Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu |
| 2024 | CIKM | Retrieval-Oriented Knowledge for Click-Through Rate Prediction. | Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang |
| 2024 | CIKM | Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation. | Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee |
| 2024 | CIKM | MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | ICANN | Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. | Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu |
| 2024 | KDD | DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation. | Kounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen, Ruiming Tang, Weinan Zhang |
| 2024 | RecSys | FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. | Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | RecSys | Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | WWW | ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. | Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. | Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. | Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2023 | KDD | MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. | Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2023 | WSDM | An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. | Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2023 | WSDM | A Bird's-eye View of Reranking: From List Level to Page Level. | Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu |
| 2021 | WWW | An Adversarial Imitation Click Model for Information Retrieval. | Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu |
| 2021 | SIGIR | A Graph-Enhanced Click Model for Web Search. | Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |