Jianghao Lin - researchr alias

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Viewing Publication 1 - 30 from 30

2025

Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized RecommendationsJunjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang 0001, Yong Yu 0001. WWW 2025: 483-494 [doi]

Large language models make sample-efficient recommender systemsJianghao Lin, Xinyi Dai, Rong Shan, Bo Chen 0023, Ruiming Tang, Yong Yu 0001, Weinan Zhang 0001. fcsc, 19(4):194328, April 2025. [doi]

How Can Recommender Systems Benefit from Large Language Models: A SurveyJianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen 0023, Hao Zhang 0048, Yong Liu 0020, Chuhan Wu, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu 0001, Ruiming Tang, Weinan Zhang 0001. tois, 43(2), March 2025. [doi]

DomainDiff: Unified Two-Stage Optimization for Text-Video RetrievalChenxu Wang, Dong Zhou 0001, Jianghao Lin, Yongmei Zhou, Aimin Yang 0002. mir 2025: 1432-1441 [doi]

Towards efficient and effective unlearning of large language models for recommendationHangyu Wang, Jianghao Lin, Bo Chen 0023, Yang Yang, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. fcsc, 19(3):193327, March 2025. [doi]

MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning NetworksPeijian Zeng, Nankai Lin, Shun Li, Liheng Hou, Jianghao Lin, Aimin Yang 0002. jcise, 25(3), 2025. [doi]

Sample-Efficient Deep Reinforcement Learning of Mobile Manipulation for 6-DOF Trajectory FollowingYifan Zhou, Qiyu Feng, Yixuan Zhou 0003, Jianghao Lin, Zhe Liu 0022, Hesheng Wang 0001. tase, 22:11381-11391, 2025. [doi]

2024

ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for RecommendationJizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. CIKM 2024: 259-269 [doi]

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for RecommendationKounianhua Du, Jizheng Chen, Jianghao Lin, Yunjia Xi, Hangyu Wang, Xinyi Dai, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001. kdd 2024: 666-676 [doi]

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language ModelLingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia 0001, Weinan Zhang 0001, Ruiming Tang, Yasheng Wang, Yong Yu 0001. CIKM 2024: 632-642 [doi]

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR PredictionJianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang 0001. WWW 2024: 3319-3330 [doi]

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationJianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang 0001. WWW 2024: 3497-3508 [doi]

Behavior-Dependent Linear Recurrent Units for Efficient Sequential RecommendationChengkai Liu, Jianghao Lin, Hanzhou Liu, Jianling Wang, James Caverlee. CIKM 2024: 1430-1440 [doi]

Retrieval-Oriented Knowledge for Click-Through Rate PredictionHuanshuo Liu, Bo Chen 0023, Menghui Zhu, Jianghao Lin, Jiarui Qin, Hao Zhang 0048, Yang Yang, Ruiming Tang. CIKM 2024: 1441-1451 [doi]

Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender SystemsZhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang 0001, Yong Yu 0001. icann 2024: 143-158 [doi]

FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR PredictionHangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen 0023, Chenxu Zhu, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. recsys 2024: 94-104 [doi]

Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language ModelsYunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. ccir 2025: 1-13 [doi]

Towards Open-World Recommendation with Knowledge Augmentation from Large Language ModelsYunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu 0003, Jieming Zhu, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. recsys 2024: 12-22 [doi]

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language ModelsYunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen 0023, Ruiming Tang, Weinan Zhang 0001, Yong Yu 0001. CIKM 2024: 2585-2595 [doi]

Fault Diagnosis of Rotating Equipment Unbalance Problem Based on Denoising Stacked AutoencodersPeijian Zeng, Nankai Lin, Jianghao Lin, Aimin Yang, Liheng Hou, Maohua Lu. icic 2024: 54-65 [doi]

M-scan: A Multi-Scenario Causal-driven Adaptive Network for RecommendationJiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang 0001, Yong Yu. WWW 2024: 3844-3853 [doi]

2023

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. jsjkx, 44(10):296-301, 2017. [doi]

2016

Analysis of Topic Evolution on News Comments Based on Word VectorsJianghao Lin, Yongmei Zhou, Aimin Yang, Jin Chen. icccsec 2016: 464-475 [doi]

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