Li, Yuchen

25 publications

ICLR 2026 SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs Siting Wang, Minnan Pei, Luoyang Sun, Cheng Deng, Yuchen Li, Kun Shao, Zheng Tian, Haifeng Zhang, Jun Wang

ICLR 2026 Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking Dhruv Rohatgi, Abhishek Shetty, Donya Saless, Yuchen Li, Ankur Moitra, Andrej Risteski, Dylan J Foster

NeurIPS 2025 GS2E: Gaussian Splatting Is an Effective Data Generator for Event Stream Generation Yuchen Li, Chaoran Feng, Zhenyu Tang, Kaiyuan Deng, Wangbo Yu, Yonghong Tian, Li Yuan

ICML 2025 HPS: Hard Preference Sampling for Human Preference Alignment Xiandong Zou, Wanyu Lin, Yuchen Li, Pan Zhou

AAAI 2025 MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse Zijian Tao, Shao-Yuan Li, Wenhai Wan, Jinpeng Zheng, Jia-Yao Chen, Yuchen Li, Sheng-Jun Huang, Songcan Chen

ICML 2025 On the Query Complexity of Verifier-Assisted Language Generation Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski

ICLRW 2025 On the Query Complexity of Verifier-Assisted Language Generation Edoardo Botta, Yuchen Li, Aashay Mehta, Jordan T. Ash, Cyril Zhang, Andrej Risteski

AAAI 2025 SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning Tianhao Peng, Xuhong Li, Haitao Yuan, Yuchen Li, Haoyi Xiong

ICML 2024 Convergence and Complexity Guarantee for Inexact First-Order Riemannian Optimization Algorithms Yuchen Li, Laura Balzano, Deanna Needell, Hanbaek Lyu

MLJ 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

IJCAI 2024 GS2P: A Generative Pre-Trained Learning to Rank Model with Over-Parameterization for Web-Scale Search (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

NeurIPS 2024 HyperPrism: An Adaptive Non-Linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-Varying Communication Links Haizhou Du, Yijian Chen, Ryan Yang, Yuchen Li, Linghe Kong

IJCAI 2024 MPGraf: A Modular and Pre-Trained Graphformer for Learning to Rank at Web-Scale (Extended Abstract) Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

ICML 2024 Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore Papineni, Sanjiv Kumar, Andrej Risteski

ICLRW 2024 Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore A Papineni, Sanjiv Kumar, Andrej Risteski

ICMLW 2023 (Un)interpretability of Transformers: A Case Study with Dyck Grammars Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski

ICML 2023 How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding Yuchen Li, Yuanzhi Li, Andrej Risteski

ECML-PKDD 2023 LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin

NeurIPS 2023 Transformers Are Uninterpretable with Myopic Methods: A Case Study with Bounded Dyck Grammars Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski

AISTATS 2022 Contrasting the Landscape of Contrastive and Non-Contrastive Learning Ashwini Pokle, Jinjin Tian, Yuchen Li, Andrej Risteski

ECCV 2022 3D CoMPaT: Composition of Materials on Parts of 3D Things Yuchen Li, Ujjwal Upadhyay, Habib Slim, Tezuesh Varshney, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny

CVPR 2022 AutoMine: An Unmanned Mine Dataset Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen

ECML-PKDD 2022 Meta Hierarchical Reinforced Learning to Rank for Recommendation: A Comprehensive Study in MOOCs Yuchen Li, Haoyi Xiong, Linghe Kong, Rui Zhang, Dejing Dou, Guihai Chen

NeurIPS 2022 PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem

AAAI 2020 Social Influence Does Matter: User Action Prediction for In-Feed Advertising Hongyang Wang, Qingfei Meng, Ju Fan, Yuchen Li, Laizhong Cui, Xiaoman Zhao, Chong Peng, Gong Chen, Xiaoyong Du