I am a PhD student at Shanghai Jiao Tong University, China. I am now pursuing PhD Degree at APEX lab, advised by Prof. Weinan Zhang and Prof. Yong Yu. I am also the member of Zhiyuan Honors Program during my stage of undergraduate.
My research interests include machine learning and data mining, especially, deep learning, reinforcement learning and their applications in real-world data mining scenarios including recommender system and information retrieval.
Email: chiangel [DOT] ljh [AT] gmail [DOT] com
Recent News
- Jan., 2024. Three papers were accepted by WWW 2024 (Accept Rate: 20.2%)
- Sep., 2023. Our paper wins the best paper award at DLP-RecSys 2023.
- Jun., 2023. We release our survey paper and awesome GitHub repo for LLM-enhanced RS.
- May, 2023. One paper was accepted by KDD 2023 (Accept Rate: 22.1%).
Education
| Year | Education |
|---|
| 09.2021-present | PhD student, Computer Science and Technology, Shanghai Jiao Tong University, China. |
| 09.2017-06.2021 | B.S., Software Engineering, Shanghai Jiao Tong University, China. |
Selected Publications
LLM-enhanced Recommendation
| 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. |
| Arxiv Preprint. Paper. Repo. |
| 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. |
| Arxiv Preprint. Co-first Author. Paper. Code. |
| 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. |
| WWW 2024 (Full, Oral). Paper Code v1 Code v2. |
| 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. |
| WWW 2024 (Full, Oral). Paper. Code. |
| FLIP: Towards 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. |
| Arxiv Preprint. Co-first Author. Paper. |
| 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. |
| DLP-RecSys 2023 (Best Paper Award). Paper. Repo. |
General Personalized Recommendation
| Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models |
|---|
| Chengkai Liu, Jianghao Lin, Jianling Wang, Hanzhou Liu, James Caverlee. |
| Arxiv Preprint. Paper. Code. |
| 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. |
| WWW 2024 (Full, Poster). |
| 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. |
| KDD 2023 (Full, Oral). Paper. Code. |
| 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. |
| WSDM 2023 (Full, Poster). Co-first Author. Paper. Code. |
User Click Models
| 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. |
| DAI 2023 (Full, Oral). Paper. |
| 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. |
| WSDM 2023 (Full, Poster). Co-first Author. Paper. Code. |
| A Graph-Enhanced Click Model for Web Search |
|---|
| Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu. |
| SIGIR 2021 (Full, Oral). Paper. Code. |
| 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. |
| WWW 2021 (Full, Oral). Paper. Code. |
Academic Services
- Conference Review: KDD, WWW, WSDM, CIKM
- Journal Review: TKDE, TOIS, TORS, Frontier of Computer Science (FCS), Nature Science Report, Journal of Intelligent & Fuzzy Systems
Internships
- Huawei Noah’s Ark Lab
- Research Intern, Search & Recommendation Group, supervised by Ruiming Tang.
- Shenzhen, China. Jul. 2020 - Jan. 2021
- Focus on user modeling and click models. Two paper accepted by WWW 2021 and SIGIR 2021.
Competition
- [2020.] Outstanding Winner (Top 0.14%), MCM/ICM 2020 (certificate).
- [2019.] National Second Prize, CUMCM 2019 (certificate).
Honor and Awards
- [2022.] Best Paper Award at DLP-RecSys 2023
- [2021.] National Scholarship for Graduate Student
- [2021.] Shanghai Outstanding Undergraduate
- [2020.] Tang Lixin Scholarship (certificate).
- [2020.] National Scholarship for Undergraduate Student
- [2018.] National Scholarship for Undergraduate Student (certificate).
More
My hobbies mainly focus on animation and online games.
