Changxin Tian - RankMe

25 papers A* 4A 7Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2026	J	`jnl`	Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design. CoRR Junzhuo Li, Peijie Jiang, Changxin Tian, Jia Liu, Zhiqiang Zhang, Xuming Hu
2025	A	`conf`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CIKM Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CoRR Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	BOSE: A Systematic Evaluation Method Optimized for Base Models. ACL (Findings) Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Every FLOP Counts: Scaling a 300B Mixture-of-Experts LING LLM without Premium GPUs. CoRR Ling Team, Binwei Zeng, Chao Huang, Chao Zhang, Changxin Tian, Cong Chen, Dingnan Jin, Feng Yu, Feng Zhu, Feng Yuan, Fakang Wang, Gangshan Wang, Guangyao Zhai, Haitao Zhang, Huizhong Li, Jun Zhou, Jia Liu, Junpeng Fang, Junjie Ou, Jun Hu, Ji Luo, Ji Zhang, Jian Liu, Jian Sha, Jianxue Qian, Jiewei Wu, Junping Zhao, Jianguo Li, Jubao Feng, Jingchao Di, Junming Xu, Jinghua Yao, Kuan Xu, Kewei Du, Longfei Li, Lei Liang, Lu Yu, Li Tang, Lin Ju, Peng Xu, Qing Cui, Song Liu, Shicheng Li, Shun Song, Song Yan, Tengwei Cai, Tianyi Chen, Ting Guo, Ting Huang, Tao Feng, Tao Wu, Wei Wu, Xiaolu Zhang, Xueming Yang, Xin Zhao, Xiaobo Hu, Xin Lin, Yao Zhao, Yilong Wang, Yongzhen Guo, Yuanyuan Wang, Yue Yang, Yang Cao, Yuhao Fu, Yi Xiong, Yanzhe Li, Zhe Li, Zhiqiang Zhang, Ziqi Liu, Zhaoxin Huan, Zujie Wen, Zhenhang Sun, Zhuoxuan Du, Zhengyu He
2025	J	`jnl`	MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation. CoRR Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models. CoRR Changxin Tian, Kunlong Chen, Jia Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training. CoRR Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2024	A*	`conf`	Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Privacy-preserving Cross-domain Recommendation with Federated Graph Learning. ACM Trans. Inf. Syst. Changxin Tian, Yuexiang Xie, Xu Chen, Yaliang Li, Xin Zhao
2024	A	`conf`	ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. RecSys Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen
2023	A	`conf`	Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2022	A*	`conf`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	J	`jnl`	Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao
2022	A*	`conf`	Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao
2022	A	`conf`	Multimodal Meta-Learning for Cold-Start Sequential Recommendation. CIKM Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao
2022	A	`conf`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 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	J	`jnl`	RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CoRR 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	A	`conf`	Temporal Contrastive Pre-Training for Sequential Recommendation. CIKM Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao
2021	A*	`conf`	Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao
2021	A	`conf`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CIKM 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
2020	J	`jnl`	RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms. CoRR Wayne Xin Zhao, Shanlei Mu, Yupeng Hou, Zihan Lin, Kaiyuan Li, Yushuo Chen, Yujie Lu, Hui Wang, Changxin Tian, Xingyu Pan, Yingqian Min, Zhichao Feng, Xinyan Fan, Xu Chen, Pengfei Wang, Wendi Ji, Yaliang Li, Xiaoling Wang, Ji-Rong Wen