Weilin Cong
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
6
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | WWW | Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation. | Xiao Lin, Zhicheng Tang, Weilin Cong, Mengyue Hang, Kai Wang, Yajuan Wang, Zhichen Zeng, Ting-Wei Li, Hyunsik Yoo, Zhining Liu, Xuying Ning, Ruizhong Qiu, Wen-Yen Chen, Shuo Chang, Rong Jin, Huayu Li, Hanghang Tong |
| 2025 | CIKM | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. | Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Jia Li, Sem Park, Bo Long |
| 2025 | ICLR | Learning Graph Quantized Tokenizers. | Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long |
| 2023 | AISTATS | Efficiently Forgetting What You Have Learned in Graph Representation Learning via Projection. | Weilin Cong, Mehrdad Mahdavi |
| 2023 | ICLR | Do We Really Need Complicated Model Architectures For Temporal Networks? | Weilin Cong, Si Zhang, Jian Kang, Baichuan Yuan, Hao Wu, Xin Zhou, Hanghang Tong, Mehrdad Mahdavi |
| 2023 | SDM | DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. | Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi |
| 2022 | ICLR | Learn Locally, Correct Globally: A Distributed Algorithm for Training Graph Neural Networks. | Morteza Ramezani, Weilin Cong, Mehrdad Mahdavi, Mahmut T. Kandemir, Anand Sivasubramaniam |
| 2020 | KDD | Minimal Variance Sampling with Provable Guarantees for Fast Training of Graph Neural Networks. | Weilin Cong, Rana Forsati, Mahmut T. Kandemir, Mehrdad Mahdavi |