Yang, Ke

15 publications

ICLR 2025 AgentOccam: A Simple yet Strong Baseline for LLM-Based Web Agents Ke Yang, Yao Liu, Sapana Chaudhary, Rasool Fakoor, Pratik Chaudhari, George Karypis, Huzefa Rangwala

NeurIPS 2025 FRBNet: Revisiting Low-Light Vision Through Frequency-Domain Radial Basis Network Fangtong Sun, Congyu Li, Ke Yang, Yuchen Pan, Hanwen Yu, Xichuan Zhang, Yiying Li

NeurIPS 2024 Bias and Volatility: A Statistical Framework for Evaluating Large Language Model's Stereotypes and the Associated Generation Inconsistency Yiran Liu, Ke Yang, Zehan Qi, Xiao Liu, Yang Yu, ChengXiang Zhai

ICLRW 2024 If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Heng Ji, ChengXiang Zhai

AAAI 2023 ADEPT: A DEbiasing PrompT Framework Ke Yang, Charles Yu, Yi Ren Fung, Manling Li, Heng Ji

ICCVW 2023 Lightweight Vision Transformer with Spatial and Channel Enhanced Self-Attention Jiahao Zheng, Longqi Yang, Yiying Li, Ke Yang, Zhiyuan Wang, Jun Zhou

CVPRW 2020 Rethinking Segmentation Guidance for Weakly Supervised Object Detection Ke Yang, Peng Zhang, Peng Qiao, Zhiyuan Wang, Huadong Dai, Tianlong Shen, Dongsheng Li, Yong Dou

CVPRW 2020 Toronto-3D: A Large-Scale Mobile LiDAR Dataset for Semantic Segmentation of Urban Roadways Weikai Tan, Nannan Qin, Lingfei Ma, Ying Li, Jing Du, Guorong Cai, Ke Yang, Jonathan Li

IJCAI 2019 Balanced Ranking with Diversity Constraints Ke Yang, Vasilis Gkatzelis, Julia Stoyanovich

AAAI 2018 Exploring Temporal Preservation Networks for Precise Temporal Action Localization Ke Yang, Peng Qiao, Dongsheng Li, Shaohe Lv, Yong Dou

NeurIPS 2012 Large Scale Distributed Deep Networks Jeffrey Dean, Greg Corrado, Rajat Monga, Kai Chen, Matthieu Devin, Mark Mao, Marc'aurelio Ranzato, Andrew Senior, Paul Tucker, Ke Yang, Quoc V. Le, Andrew Y. Ng

NeurIPS 2004 An Investigation of Practical Approximate Nearest Neighbor Algorithms Ting Liu, Andrew W. Moore, Ke Yang, Alexander G. Gray

NeurIPS 2004 Co-Training and Expansion: Towards Bridging Theory and Practice Maria-florina Balcan, Avrim Blum, Ke Yang

COLT 2002 New Lower Bounds for Statistical Query Learning Ke Yang

ALT 2001 On Learning Correlated Boolean Functions Using Statistical Queries Ke Yang