Tang, Ke

36 publications

ICML 2025 Approximation to Smooth Functions by Low-Rank Swish Networks Zimeng Li, Hongjun Li, Jingyuan Wang, Ke Tang

CVPR 2025 Binarized Mamba-Transformer for Lightweight Quad Bayer HybridEVS Demosaicing Shiyang Zhou, Haijin Zeng, Yunfan Lu, Tong Shao, Ke Tang, Yongyong Chen, Jie Liu, Jingyong Su

AAAI 2025 Efficient Robustness Evaluation via Constraint Relaxation Chao Pan, Yu Wu, Ke Tang, Qing Li, Xin Yao

AAAI 2025 Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models Bingdong Li, Zixiang Di, Yongfan Lu, Hong Qian, Feng Wang, Peng Yang, Ke Tang, Aimin Zhou

ICCV 2025 Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination Chao Pan, Ke Tang, Qing Li, Xin Yao

ICLR 2025 SOO-Bench: Benchmarks for Evaluating the Stability of Offline Black-Box Optimization Hong Qian, Yiyi Zhu, Xiang Shu, Shuo Liu, Yaolin Wen, Xin An, Huakang Lu, Aimin Zhou, Ke Tang, Yang Yu

ICML 2025 Safe Delta: Consistently Preserving Safety When Fine-Tuning LLMs on Diverse Datasets Ning Lu, Shengcai Liu, Jiahao Wu, Weiyu Chen, Zhirui Zhang, Yew-Soon Ong, Qi Wang, Ke Tang

ICLRW 2024 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu

ICML 2024 DPN: Decoupling Partition and Navigation for Neural Solvers of Min-Max Vehicle Routing Problems Zhi Zheng, Shunyu Yao, Zhenkun Wang, Tong Xialiang, Mingxuan Yuan, Ke Tang

TMLR 2024 Large Language Models Can Be Guided to Evade AI-Generated Text Detection Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang

AAAI 2023 Reliable Robustness Evaluation via Automatically Constructed Attack Ensembles Shengcai Liu, Fu Peng, Ke Tang

NeurIPS 2022 Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

JMLR 2021 Generalization Performance of Multi-Pass Stochastic Gradient Descent with Convex Loss Functions Yunwen Lei, Ting Hu, Ke Tang

IJCAI 2021 Towards Robust Dynamic Network Embedding Chengbin Hou, Ke Tang

AAAI 2020 On Performance Estimation in Automatic Algorithm Configuration Shengcai Liu, Ke Tang, Yunwen Lei, Xin Yao

AAAI 2019 Automatic Construction of Parallel Portfolios via Explicit Instance Grouping Shengcai Liu, Ke Tang, Xin Yao

NeurIPS 2019 Explicit Planning for Efficient Exploration in Reinforcement Learning Liangpeng Zhang, Ke Tang, Xin Yao

NeurIPS 2019 Optimal Stochastic and Online Learning with Individual Iterates Yunwen Lei, Peng Yang, Ke Tang, Ding-Xuan Zhou

AAAI 2019 Unsupervised Feature Selection by Pareto Optimization Chao Feng, Chao Qian, Ke Tang

IJCAI 2018 A General Approach to Running Time Analysis of Multi-Objective Evolutionary Algorithms Chao Bian, Chao Qian, Ke Tang

IJCAI 2018 Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection Chao Qian, Yang Yu, Ke Tang

IJCAI 2018 Distributed Pareto Optimization for Subset Selection Chao Qian, Guiying Li, Chao Feng, Ke Tang

IJCAI 2018 Efficient DNN Neuron Pruning by Minimizing Layer-Wise Nonlinear Reconstruction Error Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang

IJCAI 2018 Generalization Bounds for Regularized Pairwise Learning Yunwen Lei, Shao-Bo Lin, Ke Tang

AAAI 2018 On Multiset Selection with Size Constraints Chao Qian, Yibo Zhang, Ke Tang, Xin Yao

IJCAI 2018 Optimization Based Layer-Wise Magnitude-Based Pruning for DNN Compression Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang

IJCAI 2018 Sequence Selection by Pareto Optimization Chao Qian, Chao Feng, Ke Tang

NeurIPS 2018 Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities Yunwen Lei, Ke Tang

NeurIPS 2017 Log-Normality and Skewness of Estimated State/Action Values in Reinforcement Learning Liangpeng Zhang, Ke Tang, Xin Yao

IJCAI 2017 On Subset Selection with General Cost Constraints Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang

IJCAI 2017 Optimizing Ratio of Monotone Set Functions Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

NeurIPS 2017 Subset Selection Under Noise Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

IJCAI 2016 Parallel Pareto Optimization for Subset Selection Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou

IJCAI 2015 Active Learning from Crowds with Unsure Option Jinhong Zhong, Ke Tang, Zhi-Hua Zhou

IJCAI 2015 Increasingly Cautious Optimism for Practical PAC-MDP Exploration Liangpeng Zhang, Ke Tang, Xin Yao

AAAI 2011 Towards Maximizing the Area Under the ROC Curve for Multi-Class Classification Problems Ke Tang, Rui Wang, Tianshi Chen