Yixin Ren

25 papers A* 7A 3Misc 1Journal 11Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
$OneMillion-Bench: How Far are Language Agents from Human Experts?
CoRR
Qianyu Yang, Yang Liu, Jiaqi Li, Jun Bai, Hao Chen, Kaiyuan Chen, Tiliang Duan, Jiayun Dong, Xiaobo Hu, Zixia Jia, Tao Peng, Yixin Ren, Ran Tian, Zaiyuan Wang, Yanglihong Xiao, Gang Yao, Lingyue Yin, Ge Zhang, Chun Zhang, Jianpeng Jiao, Zilong Zheng, Yuan Gong
2026 J jnl
AgentIF-OneDay: A Task-level Instruction-Following Benchmark for General AI Agents in Daily Scenarios.
CoRR
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
2026 J jnl
BabyVision: Visual Reasoning Beyond Language.
CoRR
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
2026 A* conf
Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation.
AAAI
Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou
2025 Misc conf
A New Model for Prototype-based Continual Learning in Hyperspherical Space.
ICASSP
Yixin Ren, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Shuigeng Zhou
2025 — conf
AdaMM: An Adaptive Multimodal Model with Learnable Weights for Protein-Ligand Affinity Prediction.
BIBM
Juncai Zhang, Huazhen Huang, Jianbo Zhao, Yixin Ren, Yuzhong Peng, Ruxin Wang, Hao Zhang
2025 A* conf
Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags.
IJCAI
Yewei Xia, Yixin Ren, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou
2025 — conf
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
KDD (1)
Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 A* conf
Identifying Causal Mechanism Shifts Under Additive Models with Arbitrary Noise.
IJCAI
Yewei Xia, Xueliang Cui, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou
2025 A conf
Mitigating Knowledge Forgetting by Generative Knowledge Replay and Forgetting-aware Aggregation in Semi-Supervised Federated Learning.
ICME
Hongquan Liu, Yixin Ren, Jihong Guan, Shuigeng Zhou
2025 J jnl
Regression-based conditional independence test with adaptive kernels.
Artif. Intell.
Yixin Ren, Juncai Zhang, Yewei Xia, Ruxin Wang, Feng Xie, Jihong Guan, Hao Zhang, Shuigeng Zhou
2025 — conf
Score-based Generative Modeling for Conditional Independence Testing.
KDD (2)
Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 J jnl
Score-based Generative Modeling for Conditional Independence Testing.
CoRR
Yixin Ren, Chenghou Jin, Yewei Xia, Li Ke, Longtao Huang, Hui Xue, Hao Zhang, Jihong Guan, Shuigeng Zhou
2025 J jnl
xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations.
CoRR
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
2024 J jnl
Balance, pattern distribution and linear complexity of M-ary sequences from Sidel'nikov sequences.
Appl. Algebra Eng. Commun. Comput.
Huaning Liu, Yixin Ren
2024 A* conf
Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.
NeurIPS
Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Fast Causal Discovery by Approximate Kernel-based Generalized Score Functions with Linear Computational Complexity.
CoRR
Yixin Ren, Haocheng Zhang, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Hybrid Causal Feature Selection for Cancer Biomarker Identification From RNA-Seq Data.
IEEE ACM Trans. Comput. Biol. Bioinform.
Wenwei Xu, Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou
2024 A conf
Learning Adaptive Kernels for Statistical Independence Tests.
AISTATS
Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou
2024 J jnl
Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.
IEEE Trans. Pattern Anal. Mach. Intell.
Hao Zhang, Yixin Ren, Yewei Xia, Shuigeng Zhou, Jihong Guan
2023 A* conf
Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
ICDM
Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, Shuigeng Zhou
2023 A* conf
Differentially Private Nonlinear Causal Discovery from Numerical Data.
AAAI
Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou
2023 A conf
Incremental Graph Classification by Class Prototype Construction and Augmentation.
CIKM
Yixin Ren, Li Ke, Dong Li, Hui Xue, Zhao Li, Shuigeng Zhou
2023 A* conf
Multi-Level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
AAAI
Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou
2023 J jnl
On the pseudorandom properties of $ k $-ary Sidel'nikov sequences.
Adv. Math. Commun.
Huaning Liu, Yixin Ren