Yixin Ren

According to our database, Yixin Ren authored at least 24 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Causal Discovery by Multi-Level Wavelet Mapping Correlation Based Statistical Dependence Measurement.

Yixin Ren, Hao Zhang, Yewei Xia, Feng Xie, Jihong Guan, Shuigeng Zhou

ACM Trans. Knowl. Discov. Data, May, 2026

$OneMillion-Bench: How Far are Language Agents from Human Experts?

Qianyu Yang, Yang Liu, Jiaqi Li, Jun Bai, Hao Chen, Kaiyuan Chen, Tiliang Duan, Jiayun Dong, Xiaobo Hu, Zixia Jia, Yang Liu, Tao Peng, Yixin Ren, Ran Tian, Zaiyuan Wang, Yanglihong Xiao, Gang Yao, Lingyue Yin, Ge Zhang, Chun Zhang, Jianpeng Jiao, Zilong Zheng, Yuan Gong

CoRR, March, 2026

AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios.

Kaiyuan Chen, Qimin Wu, Taiyu Hou, Tianhao Tang, Xueyu Hu, Yuchen Hou, Bikun Li, Chengming Qian, Guoyin Wang, Haolin Chen, Haotong Tian, Haoye Zhang, Haoyu Bian, Hongbing Pan, Hongkang Zhang, Hongyi Zhou, Jiaqi Cai, Jiewu Rao, Jiyuan Ren, Keduan Huang, Lucia Zhu Huang, Mingyu Yuan, Naixu Guo, Qicheng Tang, Qinyan Zhang, Shuai Chen, Siheng Chen, Ting Ting Li, Xiaoxing Guo, Yaocheng Zuo, Yaoqi Guo, Yinan Wang, Yinzhou Yu, Yize Wang, Yuan Jiang, Yuan Tian, Yuanshuo Zhang, Yuxuan Liu, Yvette Yan Zeng, Zenyu Shan, Zihan Yin, Xiaobo Hu, Yang Liu, Yixin Ren, Yuan Gong

CoRR, January, 2026

BabyVision: Visual Reasoning Beyond Language.

Liang Chen, Weichu Xie, Yiyan Liang, Hongfeng He, Hans Zhao, Zhibo Yang, Zhiqi Huang, Haoning Wu, Haoyu Lu, Y. Charles, Yiping Bao, Yuantao Fan, Guopeng Li, Haiyang Shen, Xuanzhong Chen, Wendong Xu, Shuzheng Si, Zefan Cai, Wenhao Chai, Ziqi Huang, Fangfu Liu, Tianyu Liu, Baobao Chang, Xiaobo Hu, Kaiyuan Chen, Yixin Ren, Yang Liu, Yuan Gong, Kuan Li

CoRR, January, 2026

Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation.

Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.

Kaiyuan Chen, Yixin Ren, Yang Liu, Xiaobo Hu, Haotong Tian, Tianbao Xie, Fangfu Liu, Haoye Zhang, Hongzhang Liu, Yuan Gong, Chen Sun, Han Hou, Hui Yang, James Pan, Jianan Lou, Jiayi Mao, Jizheng Liu, Jinpeng Li, Kangyi Liu, Kenkun Liu, Rui Wang, Run Li, Tong Niu, Wenlong Zhang, Wenqi Yan, Xuanzheng Wang, Yuchen Zhang, Yi-Hsin Hung, Yuan Jiang, Zexuan Liu, Zihan Yin, Zijian Ma, Zhiwen Mo

CoRR, June, 2025

Regression-based conditional independence test with adaptive kernels.

Yixin Ren, Juncai Zhang, Yewei Xia, Ruxin Wang, Feng Xie, Jihong Guan, Hao Zhang, Shuigeng Zhou

Artif. Intell., 2025

Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.

Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Score-based Generative Modeling for Conditional Independence Testing.

Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags.

Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise.

Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Knowledge Forgetting by Generative Knowledge Replay and Forgetting-aware Aggregation in Semi-Supervised Federated Learning.

Hongquan Liu, Yixin Ren, Jihong Guan, Shuigeng Zhou

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

A New Model for Prototype-based Continual Learning in Hyperspherical Space.

Yixin Ren, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Shuigeng Zhou

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

AdaMM: An Adaptive Multimodal Model with Learnable Weights for Protein-Ligand Affinity Prediction.

Juncai Zhang, Huazhen Huang, Jianbo Zhao, Yixin Ren, Yuzhong Peng, Ruxin Wang, Hao Zhang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2024

Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.

Hao Zhang, Yixin Ren, Yewei Xia, Shuigeng Zhou, Jihong Guan

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Balance, pattern distribution and linear complexity of M-ary sequences from Sidel'nikov sequences.

Huaning Liu, Yixin Ren

Appl. Algebra Eng. Commun. Comput., September, 2024

Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data.

Wenwei Xu, Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

IEEE ACM Trans. Comput. Biol. Bioinform., 2024

Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.

Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Adaptive Kernels for Statistical Independence Tests.

Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

On the pseudorandom properties of $ k $-ary Sidel'nikov sequences.

Huaning Liu, Yixin Ren

Adv. Math. Commun., 2023

Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.

Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou

Proceedings of the IEEE International Conference on Data Mining, 2023

Incremental Graph Classification by Class Prototype Construction and Augmentation.

Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.

Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Differentially Private Nonlinear Causal Discovery from Numerical Data.

Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023