Zhang, Yikai

28 publications

NeurIPS 2025 ARIA: Training Language Agents with Intention-Driven Reward Aggregation Ruihan Yang, Yikai Zhang, Aili Chen, Xintao Wang, Jiangjie Chen, Siyu Yuan, Deqing Yang, Yanghua Xiao

NeurIPS 2025 ARM: Adaptive Reasoning Model Siye Wu, Jian Xie, Yikai Zhang, Aili Chen, Kai Zhang, Yu Su, Yanghua Xiao

TMLR 2025 Covariate-Dependent Graphical Model Estimation via Neural Networks with Statistical Guarantees Jiahe Lin, Yikai Zhang, George Michailidis

NeurIPS 2025 Multi-Agent KTO: Enhancing Strategic Interactions of Large Language Model in Language Game Rong Ye, Yongxin Zhang, Yikai Zhang, Haoyu Kuang, Peng Sun, Zhongyu Wei

WACV 2025 PivotAlign: Improve Semi-Supervised Learning by Learning Intra-Class Heterogeneity and Aligning with Pivots Lingjie Yi, Tao Sun, Yikai Zhang, Songzhu Zheng, Weimin Lyu, Haibin Ling, Chao Chen

NeurIPS 2025 R-KV: Redundancy-Aware KV Cache Compression for Reasoning Models Zefan Cai, Wen Xiao, Hanshi Sun, Cheng Luo, Yikai Zhang, Ke Wan, Yucheng Li, Yeyang Zhou, Li-Wen Chang, Jiuxiang Gu, Zhen Dong, Anima Anandkumar, Abedelkadir Asi, Junjie Hu

TMLR 2025 Reweighting Improves Conditional Risk Bounds Yikai Zhang, Jiahe Lin, Fengpei Li, Songzhu Zheng, Anant Raj, Anderson Schneider, Yuriy Nevmyvaka

NeurIPS 2025 The Lighthouse of Language: Enhancing LLM Agents via Critique-Guided Improvement Ruihan Yang, Fanghua Ye, Jian Li, Siyu Yuan, Yikai Zhang, Zhaopeng Tu, Xiaolong Li, Deqing Yang

ICML 2024 Finite Smoothing Algorithm for High-Dimensional Support Vector Machines and Quantile Regression Qian Tang, Yikai Zhang, Boxiang Wang

TMLR 2024 From Persona to Personalization: A Survey on Role-Playing Language Agents Jiangjie Chen, Xintao Wang, Rui Xu, Siyu Yuan, Yikai Zhang, Wei Shi, Jian Xie, Shuang Li, Ruihan Yang, Tinghui Zhu, Aili Chen, Nianqi Li, Lida Chen, Caiyu Hu, Siye Wu, Scott Ren, Ziquan Fu, Yanghua Xiao

TMLR 2024 Learning to Abstain from Uninformative Data Yikai Zhang, Songzhu Zheng, Mina Dalirrooyfard, Pengxiang Wu, Anderson Schneider, Anant Raj, Yuriy Nevmyvaka, Chao Chen

NeurIPS 2024 OlympicArena: Benchmarking Multi-Discipline Cognitive Reasoning for Superintelligent AI Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, Pengfei Liu

MLOSS 2024 Pygmtools: A Python Graph Matching Toolkit Runzhong Wang, Ziao Guo, Wenzheng Pan, Jiale Ma, Yikai Zhang, Nan Yang, Qi Liu, Longxuan Wei, Hanxue Zhang, Chang Liu, Zetian Jiang, Xiaokang Yang, Junchi Yan

NeurIPSW 2024 SELFGOAL: Your Language Agents Already Know How to Achieve High-Level Goals Ruihan Yang, Jiangjie Chen, Yikai Zhang, Siyu Yuan, Aili Chen, Kyle Richardson, Yanghua Xiao, Deqing Yang

NeurIPS 2023 C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, Jiayi Lei, Yao Fu, Maosong Sun, Junxian He

ICLR 2023 Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiachen Yao, Yikai Zhang, Songzhu Zheng, Mayank Goswami, Prateek Prasanna, Chao Chen

ICLRW 2023 On the Existence of a Trojaned Twin Model Songzhu Zheng, Yikai Zhang, Lu Pang, Weimin Lyu, Mayank Goswami, Anderson Schneider, Yuriy Nevmyvaka, Haibin Ling, Chao Chen

ICML 2023 Provably Convergent Schrödinger Bridge with Applications to Probabilistic Time Series Imputation Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka

AISTATS 2023 Risk Bounds on Aleatoric Uncertainty Recovery Yikai Zhang, Jiahe Lin, Fengpei Li, Yeshaya Adler, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka

NeurIPS 2023 Topology-Aware Uncertainty for Image Segmentation Saumya Gupta, Yikai Zhang, Xiaoling Hu, Prateek Prasanna, Chao Chen

AISTATS 2022 A Manifold View of Adversarial Risk Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas

UAI 2022 Stability of SGD: Tightness Analysis and Improved Bounds Yikai Zhang, Wenjia Zhang, Sammy Bald, Vamsi Pingali, Chao Chen, Mayank Goswami

ICLR 2021 Learning with Feature-Dependent Label Noise: A Progressive Approach Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, Chao Chen

NeurIPS 2021 Topological Detection of Trojaned Neural Networks Songzhu Zheng, Yikai Zhang, Hubert Wagner, Mayank Goswami, Chao Chen

ECCV 2020 Learn Distributed GAN with Temporary Discriminators Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris Metaxas

AAAI 2020 Local Regularizer Improves Generalization Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen

IJCAI 2019 Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas

AISTATS 2018 Robust Vertex Enumeration for Convex Hulls in High Dimensions Pranjal Awasthi, Bahman Kalantari, Yikai Zhang