Jianghao Lin

According to our database, Jianghao Lin authored at least 66 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges.

Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang

CoRR, August, 2025

CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models.

Congmin Zheng, Jiachen Zhu, Jianghao Lin, Xinyi Dai, Yong Yu, Weinan Zhang, Mengyue Yang

CoRR, July, 2025

MassTool: A Multi-Task Search-Based Tool Retrieval Framework for Large Language Models.

Jianghao Lin, Xinyuan Wang, Xinyi Dai, Menghui Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, July, 2025

Generative Representational Learning of Foundation Models for Recommendation.

Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, June, 2025

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey.

Jiachen Zhu, Menghui Zhu, Renting Rui, Rong Shan, Congmin Zheng, Bo Chen, Yunjia Xi, Jianghao Lin, Weiwen Liu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, June, 2025

Superplatforms Have to Attack AI Agents.

Jianghao Lin, Jiachen Zhu, Zheli Zhou, Yunjia Xi, Weiwen Liu, Yong Yu, Weinan Zhang

CoRR, May, 2025

The Real Barrier to LLM Agent Usability is Agentic ROI.

Weiwen Liu, Jiarui Qin, Xu Huang, Xingshan Zeng, Yunjia Xi, Jianghao Lin, Chuhan Wu, Yasheng Wang, Lifeng Shang, Ruiming Tang, Defu Lian, Yong Yu, Weinan Zhang

CoRR, May, 2025

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation.

Yunjia Xi, Jianghao Lin, Menghui Zhu, Yongzhao Xiao, Zhuoying Ou, Jiaqi Liu, Tong Wan, Bo Chen, Weiwen Liu, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, May, 2025

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

CoRR, May, 2025

Large language models make sample-efficient recommender systems.

Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

Frontiers Comput. Sci., April, 2025

A Survey of AI Agent Protocols.

Yingxuan Yang, Huacan Chai, Yuanyi Song, Siyuan Qi, Muning Wen, Ning Li, Junwei Liao, Haoyi Hu, Jianghao Lin, Gaowei Chang, Weiwen Liu, Ying Wen, Yong Yu, Weinan Zhang

CoRR, April, 2025

AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing.

Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu

CoRR, April, 2025

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Hao Zhang, Yong Liu, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

ACM Trans. Inf. Syst., March, 2025

Towards efficient and effective unlearning of large language models for recommendation.

Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu

Frontiers Comput. Sci., March, 2025

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

CoRR, March, 2025

Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation.

Rong Shan, Jiachen Zhu, Jianghao Lin, Chenxu Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, January, 2025

Sample-Efficient Deep Reinforcement Learning of Mobile Manipulation for 6-DOF Trajectory Following.

Yifan Zhou, Qiyu Feng, Yixuan Zhou, Jianghao Lin, Zhe Liu, Hesheng Wang

IEEE Trans Autom. Sci. Eng., 2025

MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks.

Peijian Zeng, Nankai Lin, Shun Li, Liheng Hou, Jianghao Lin, Aimin Yang

J. Comput. Inf. Sci. Eng., 2025

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations.

Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

DomainDiff: Unified Two-Stage Optimization for Text-Video Retrieval.

Chenxu Wang, Dong Zhou, Jianghao Lin, Yongmei Zhou, Aimin Yang

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

An Efficient Approximation Framework for LLM-Enhanced Recommendation.

Huacan Chai, Menghui Zhu, Jianghao Lin, Yunjia Xi, Weinan Zhang, Yong Yu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2025

Global Graph Attention for Contrastive Sequential Recommendation.

Zhijin Chen, Dong Zhou, Jianghao Lin, Wentao Huang, Xingran Zhou, Aimin Yang

Proceedings of the 28th International Conference on Computer Supported Cooperative Work in Design, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

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

CoRR, 2024

LIBER: Lifelong User Behavior Modeling Based on Large Language Models.

Chenxu Zhu, Shigang Quan, Bo Chen, Jianghao Lin, Xiaoling Cai, Hong Zhu, Xiangyang Li, Yunjia Xi, Weinan Zhang, Ruiming Tang

CoRR, 2024

Beyond Positive History: Re-ranking with List-level Hybrid Feedback.

Muyan Weng, Yunjia Xi, Weiwen Liu, Bo Chen, Jianghao Lin, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Learning ID-free Item Representation with Token Crossing for Multimodal Recommendation.

Kangning Zhang, Jiarui Jin, Yingjie Qin, Ruilong Su, Jianghao Lin, Yong Yu, Weinan Zhang

CoRR, 2024

A Survey on Diffusion Models for Recommender Systems.

Jianghao Lin, Jiaqi Liu, Jiachen Zhu, Yunjia Xi, Chengkai Liu, Yangtian Zhang, Yong Yu, Weinan Zhang

CoRR, 2024

Efficient and Deployable Knowledge Infusion for Open-World Recommendations via Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Muyan Weng, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

A Decoding Acceleration Framework for Industrial Deployable LLM-based Recommender Systems.

Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2024

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation.

Jiachen Zhu, Jianghao Lin, Xinyi Dai, Bo Chen, Rong Shan, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

A Comprehensive Survey on Retrieval Methods in Recommender Systems.

Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu

CoRR, 2024

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

CoRR, 2024

Extracting Essential and Disentangled Knowledge for Recommendation Enhancement.

Kounianhua Du, Jizheng Chen, Jianghao Lin, Menghui Zhu, Bo Chen, Shuai Li, Ruiming Tang

CoRR, 2024

Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models.

Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee

CoRR, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the ACM on Web Conference 2024, 2024

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

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

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

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

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked Autoencoders.

Peijian Zeng, Nankai Lin, Jianghao Lin, Aimin Yang, Liheng Hou, Maohua Lu

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

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

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Behavior-Dependent Linear Recurrent Units for Efficient Sequential Recommendation.

Chengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Retrieval-Oriented Knowledge for Click-Through Rate Prediction.

Huanshuo Liu, Bo Chen, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang, Yang Yang, Ruiming Tang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu

Proceedings of the Information Retrieval - 30th China Conference, 2024

2023

ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction.

Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu

CoRR, 2023

CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models.

Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu

CoRR, 2023

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models.

Yunjia Xi, Weiwen Liu, Jianghao Lin, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu

CoRR, 2023

How Can Recommender Systems Benefit from Large Language Models: A Survey.

Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang

CoRR, 2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval.

Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

2022

Learning Ball-balancing Robot Through Deep Reinforcement Learning.

Yifan Zhou, Jianghao Lin, Shuai Wang, Chong Zhang

CoRR, 2022

2021

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

Proceedings of the WWW '21: The Web Conference 2021, 2021

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

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Research on Adaptive Cognitive Diagnostic Test Model based on Multilayer Bi-GRUs.

Jin Chen, Jianghao Lin, Weilie Lu, Xinguang Li

Proceedings of the ICEMT 2021: 5th International Conference on Education and Multimedia Technology, Kyoto, Japan, July 23, 2021

2017

基于语义相似度的情感特征向量提取方法 (Extraction Method of Sentimental Feature Vector Based on Semantic Similarity).

Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Cheng

计算机科学, 2017

2016

Analysis of Topic Evolution on News Comments Based on Word Vectors.

Jianghao Lin, Yongmei Zhou, Aimin Yang, Jin Chen

Proceedings of the Cloud Computing and Security - Second International Conference, 2016