Changxin Tian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design. | Junzhuo Li, Peijie Jiang, Changxin Tian, Jia Liu, Zhiqiang Zhang, Xuming Hu |
| 2025 | ACL | BOSE: A Systematic Evaluation Method Optimized for Base Models. | Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou |
| 2025 | CIKM | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. | Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2024 | RecSys | ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. | Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen |
| 2024 | WWW | Can Small Language Models be Good Reasoners for Sequential Recommendation? | Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang |
| 2023 | CIKM | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |
| 2022 | CIKM | Multimodal Meta-Learning for Cold-Start Sequential Recommendation. | Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao |
| 2022 | CIKM | Temporal Contrastive Pre-Training for Sequential Recommendation. | Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao |
| 2022 | CIKM | RecBole 2.0: Towards a More Up-to-Date Recommendation Library. | Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen |
| 2022 | WWW | Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. | Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao |
| 2022 | SIGIR | Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. | Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao |
| 2021 | CIKM | RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. | Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Yushuo Chen, Xingyu Pan, Kaiyuan Li, Yujie Lu, Hui Wang, Changxin Tian, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen |
| 2021 | KDD | Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. | Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao |