Yan, Yuchen

19 publications

ICLR 2026 InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Mengdi Zhang, Jian Shao, Yueting Zhuang

ICLR 2026 MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps Through Fill-in-the-Middle Task Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Xin Xu, Mengdi Zhang, Jian Shao, Yueting Zhuang

ICLR 2026 PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong

TMLR 2026 Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Wenxuan Bao, Tianxin Wei, Xiao Lin, Yuchen Yan, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

ICLR 2026 SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models Hongxing Li, Dingming Li, Zixuan Wang, Yuchen Yan, Hang Wu, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang

ICLR 2026 VerifyBench: Benchmarking Reference-Based Reward Systems for Large Language Models Yuchen Yan, Jin Jiang, Zhenbang Ren, Yijun Li, Xudong Cai, Yang Liu, Xin Xu, Mengdi Zhang, Jian Shao, Yongliang Shen, Jun Xiao, Yueting Zhuang

NeurIPS 2025 Let LRMs Break Free from Overthinking via Self-Braking Tuning Haoran Zhao, Yuchen Yan, Yongliang Shen, Haolei Xu, Wenqi Zhang, Kaitao Song, Jian Shao, Weiming Lu, Jun Xiao, Yueting Zhuang

NeurIPS 2025 Mind the Gap: Bridging Thought Leap for Improved Chain-of-Thought Tuning Haolei Xu, Yuchen Yan, Yongliang Shen, Wenqi Zhang, Guiyang Hou, Shengpei Jiang, Kaitao Song, Weiming Lu, Jun Xiao, Yueting Zhuang

AAAI 2025 S3cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Mengdi Zhang, Xunliang Cai, Jian Shao

ICML 2025 UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Xin Xu, Qiyun Xu, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

ICML 2024 Graph Mixup on Approximate Gromov–Wasserstein Geodesics Zhichen Zeng, Ruizhong Qiu, Zhe Xu, Zhining Liu, Yuchen Yan, Tianxin Wei, Lei Ying, Jingrui He, Hanghang Tong

NeurIPS 2024 Rethinking Human Evaluation Protocol for Text-to-Video Models: Enhancing Reliability, Reproducibility, and Practicality Tianle Zhang, Langtian Ma, Yuchen Yan, Yuchen Zhang, Kai Wang, Yue Yang, Ziyao Guo, Wenqi Shao, Yang You, Yu Qiao, Ping Luo, Kaipeng Zhang

ICML 2024 SLOG: An Inductive Spectral Graph Neural Network Beyond Polynomial Filter Haobo Xu, Yuchen Yan, Dingsu Wang, Zhe Xu, Zhichen Zeng, Tarek F. Abdelzaher, Jiawei Han, Hanghang Tong

AAAI 2024 Sterling: Synergistic Representation Learning on Bipartite Graphs Baoyu Jing, Yuchen Yan, Kaize Ding, Chanyoung Park, Yada Zhu, Huan Liu, Hanghang Tong

NeurIPS 2023 From Trainable Negative Depth to Edge Heterophily in Graphs Yuchen Yan, Yuzhong Chen, Huiyuan Chen, Minghua Xu, Mahashweta Das, Hao Yang, Hanghang Tong

NeurIPS 2023 Reconciling Competing Sampling Strategies of Network Embedding Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang Tong

NeurIPSW 2022 COIN: Co-Cluster Infomax for Bipartite Graphs Baoyu Jing, Yuchen Yan, Yada Zhu, Hanghang Tong

ICLR 2022 EE-Net: Exploitation-Exploration Neural Networks in Contextual Bandits Yikun Ban, Yuchen Yan, Arindam Banerjee, Jingrui He

AAAI 2021 Dynamic Knowledge Graph Alignment Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong