| 2026 | AAAI | Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization. | Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian |
| 2026 | DATE | Timing-driven Detailed Placement via TimingMask-guided Path-level Optimization. | Ruo-Tong Chen, Chengrui Gao, Siyuan Xu, Ke Xue, Yunqi Shi, Xi Lin, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2026 | DATE | Dynamic Algorithm Configuration for Global Placement. | Chen Lu, Ke Xue, Ruo-Tong Chen, Yunqi Shi, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2026 | DATE | Reinforcement Learning for Hybrid Bonding Terminal Legalization in 3D ICs. | Wanqi Ren, Chengrui Gao, Yunqi Shi, Mingzhou Fan, Siyuan Xu, Ke Xue, Chenjian Ding, Mingxuan Yuan, Chao Qian |
| 2026 | GECCO | Hot off the Press: Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. | Chao Bian, Yawen Zhou, Miqing Li, Chao Qian |
| 2026 | GECCO | Budget-aware Algorithm Selection for Black-box Optimization. | Xiao He, Haopu Shang, Bin Zhang, Weiyong Yang, Chao Qian |
| 2026 | GECCO | Hot off the Press: Migrant Resettlement by Evolutionary Multi-objective Optimization. | Dan-Xuan Liu, Yu-Ran Gu, Chao Qian, Xin Mu, Ke Tang |
| 2026 | GECCO | Hot off the Press: Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint. | Dan-Xuan Liu, Chao Qian |
| 2026 | GECCO | Hot off the Press: Sequential Multi-Agent Dynamic Algorithm Configuration. | Chen Lu, Ke Xue, Lei Yuan, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2026 | GECCO | Hot off the Press: A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization. | Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian |
| 2026 | GECCO | Hot off the Press: Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. | Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2026 | GECCO | Pareto Optimization with Robust Evaluation for Noisy Subset Selection. | Yiheng Xu, Danxuan Liu, Bin Zhang, Weiyong Yang, Chao Qian |
| 2025 | AAAI | Pareto Set Learning for Multi-Objective Reinforcement Learning. | Erlong Liu, Yu-Chang Wu, Xiaobin Huang, Chengrui Gao, Ren-Jian Wang, Ke Xue, Chao Qian |
| 2025 | DAC | ReMaP: Macro Placement by Recursively Prototyping and Periphery-Guided Relocating. | Yunqi Shi, Xi Lin, Siyuan Xu, Shixiong Kai, Ke Xue, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou |
| 2025 | DATE | Timing-Driven Global Placement by Efficient Critical Path Extraction. | Yunqi Shi, Siyuan Xu, Shixiong Kai, Xi Lin, Ke Xue, Mingxuan Yuan, Chao Qian |
| 2025 | GECCO | Hot off the Press: Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. | Chao Qian, Ke Xue, Ren-Jian Wang |
| 2025 | GECCO | Hot off the Press: Can Evolutionary Clustering Have Theoretical Guarantees? | Chao Qian |
| 2025 | GECCO | Pareto Optimization for Subset Selection: Theories and Practical Algorithms. | Chao Qian |
| 2025 | GECCO | An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. | Chao Bian, Shengjie Ren, Miqing Li, Chao Qian |
| 2025 | GECCO | How to Train Algorithm Selection Models: Insights from Black-box Continuous Optimization. | Xiao He, Haopu Shang, Chao Qian |
| 2025 | GECCO | Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms. | Tianhao Lu, Chao Bian, Chao Qian |
| 2025 | GECCO | Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. | Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian |
| 2025 | GECCO | MGDA/D: A Multiple Gradient Descent Algorithm Based on Decomposition. | Yawen Zhou, Ke Xue, Chao Qian |
| 2025 | ICLR | Offline Model-Based Optimization by Learning to Rank. | Rong-Xi Tan, Ke Xue, Shen-Huan Lyu, Haopu Shang, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2025 | ICML | Neural Solver Selection for Combinatorial Optimization. | Chengrui Gao, Haopu Shang, Ke Xue, Chao Qian |
| 2025 | ICML | Improved Theoretically-Grounded Evolutionary Algorithms for Subset Selection with a Linear Cost Constraint. | Dan-Xuan Liu, Chao Qian |
| 2025 | ICML | Runtime Analysis of Evolutionary NAS for Multiclass Classification. | Zeqiong Lv, Chao Qian, Yun Liu, Jiahao Fan, Yanan Sun |
| 2025 | ICML | Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings. | Rong-Xi Tan, Ming Chen, Ke Xue, Yao Wang, Yaoyuan Wang, Sheng Fu, Chao Qian |
| 2025 | IJCAI | A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization. | Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian |
| 2025 | IJCAI | Reinforced In-Context Black-Box Optimization. | Lei Song, Chen-Xiao Gao, Ke Xue, Chenyang Wu, Dong Li, Jianye Hao, Zongzhang Zhang, Chao Qian |
| 2025 | IROS | Development of a Novel Miniaturized Dexterous Manipulator with Variable Stiffness for NOTES. | Rong Cong, Xipeng Wu, Chao Qian, Kaijie Zhang, Xingguang Duan, Changsheng Li |
| 2025 | IROS | Fast Real-Time Neural Network-Based Kinematics Solving of the Cosserat Rod Model for a Parallel Continuum Surgical Manipulator. | Xipeng Wu, Chao Qian, Jinpeng Diao, Xingguang Duan, Changsheng Li |
| 2024 | AAAI | Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation. | Xiaobin Huang, Lei Song, Ke Xue, Chao Qian |
| 2024 | AAAI | Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms. | Tianhao Lu, Chao Bian, Chao Qian |
| 2024 | GECCO | Runtime Analysis of Population-based Evolutionary Neural Architecture Search for a Binary Classification Problem. | Zeqiong Lv, Chao Bian, Chao Qian, Yanan Sun |
| 2024 | GECCO | Instance-Label Based Multi-Label Active Learning by Evolutionary Multi-Objective Optimization. | Yuheng Zhou, Haopu Shang, Yu-Chang Wu, Chao Qian |
| 2024 | ICLR | Sample-Efficient Quality-Diversity by Cooperative Coevolution. | Ke Xue, Ren-Jian Wang, Pengyi Li, Dong Li, Jianye Hao, Chao Qian |
| 2024 | ICML | Offline Multi-Objective Optimization. | Ke Xue, Rong-Xi Tan, Xiaobin Huang, Chao Qian |
| 2024 | ICML | Quality-Diversity with Limited Resources. | Ren-Jian Wang, Ke Xue, Cong Guan, Chao Qian |
| 2024 | ICML | Confidence-aware Contrastive Learning for Selective Classification. | Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang, Xiangyu Wang, Chao Qian |
| 2024 | IJCAI | Quality-Diversity Algorithms Can Provably Be Helpful for Optimization. | Chao Qian, Ke Xue, Ren-Jian Wang |
| 2024 | IJCAI | An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms. | Chao Bian, Shengjie Ren, Miqing Li, Chao Qian |
| 2024 | IJCAI | Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy. | Chengrui Gao, Haopu Shang, Ke Xue, Dong Li, Chao Qian |
| 2024 | IJCAI | Peptide Vaccine Design by Evolutionary Multi-Objective Optimization. | Dan-Xuan Liu, Yi-Heng Xu, Chao Qian |
| 2024 | IJCAI | Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization. | Shengjie Ren, Zhijia Qiu, Chao Bian, Miqing Li, Chao Qian |
| 2024 | Mobiquitous | Resource-Aware Mixed-Precision Quantization for Enhancing Deployability of Transformers for Time-Series Forecasting on Embedded FPGAs. | Tianheng Ling, Chao Qian, Gregor Schiele |
| 2024 | PERCOM | FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization. | Tianheng Ling, Julian Hoever, Chao Qian, Gregor Schiele |
| 2024 | PPSN | Biased Pareto Optimization for Subset Selection with Dynamic Cost Constraints. | Dan-Xuan Liu, Chao Qian |
| 2024 | PPSN | A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2). | Shengjie Ren, Chao Bian, Miqing Li, Chao Qian |
| 2023 | AAAI | Submodular Maximization under the Intersection of Matroid and Knapsack Constraints. | Yu-Ran Gu, Chao Bian, Chao Qian |
| 2023 | AAAI | Human Assisted Learning by Evolutionary Multi-Objective Optimization. | Dan-Xuan Liu, Xin Mu, Chao Qian |
| 2023 | AAAI | Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. | Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu |
| 2023 | CEC | Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler. | Frank Neumann, Aneta Neumann, Chao Qian, Anh Viet Do, Jacob de Nobel, Diederick Vermetten, Saba Sadeghi Ahouei, Furong Ye, Hao Wang, Thomas Bck |
| 2023 | ICLR | Quality-Similar Diversity via Population Based Reinforcement Learning. | Shuang Wu, Jian Yao, Haobo Fu, Ye Tian, Chao Qian, Yaodong Yang, Qiang Fu, Wei Yang |
| 2023 | IJCAI | Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms. | Chao Bian, Yawen Zhou, Miqing Li, Chao Qian |
| 2023 | IJCAI | Multi-objective Optimization-based Selection for Quality-Diversity by Non-surrounded-dominated Sorting. | Ren-Jian Wang, Ke Xue, Haopu Shang, Chao Qian, Haobo Fu, Qiang Fu |
| 2023 | Mobiquitous | On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data. | Tianheng Ling, Chao Qian, Gregor Schiele |
| 2023 | PERCOM | ElasticAI: Creating and Deploying Energy-Efficient Deep Learning Accelerator for Pervasive Computing. | Chao Qian, Tianheng Ling, Gregor Schiele |
| 2023 | UAI | Fast Teammate Adaptation in the Presence of Sudden Policy Change. | Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu |
| 2022 | GECCO | Evolutionary submodular optimisation: tutorial. | Aneta Neumann, Frank Neumann, Chao Qian |
| 2022 | ICLR | Evolutionary Diversity Optimization with Clustering-based Selection for Reinforcement Learning. | Yutong Wang, Ke Xue, Chao Qian |
| 2022 | IJCAI | Robust Subset Selection by Greedy and Evolutionary Pareto Optimization. | Chao Bian, Yawen Zhou, Chao Qian |
| 2022 | IJCAI | Towards Theoretically Grounded Evolutionary Learning. | Chao Qian |
| 2022 | IJCAI | Neural Network Pruning by Cooperative Coevolution. | Haopu Shang, Jia-Liang Wu, Wenjing Hong, Chao Qian |
| 2022 | IWQoS | Harmonizing Energy Efficiency and QoE for Brightness Scaling-based Mobile Video Streaming. | Chao Qian, Daibo Liu, Hongbo Jiang |
| 2022 | PPSN | Better Running Time of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) by Using Stochastic Tournament Selection. | Chao Bian, Chao Qian |
| 2022 | PPSN | Multi-objective Evolutionary Ensemble Pruning Guided by Margin Distribution. | Yu-Chang Wu, Yi-Xiao He, Chao Qian, Zhi-Hua Zhou |
| 2022 | PPSN | Robust Neural Network Pruning by Cooperative Coevolution. | Jia-Liang Wu, Haopu Shang, Wenjing Hong, Chao Qian |
| 2022 | PPSN | Running Time Analysis of the (1+1)-EA Using Surrogate Models on OneMax and LeadingOnes. | Zi-An Zhang, Chao Bian, Chao Qian |
| 2022 | PRICAI | Multi-objective Evolutionary Instance Selection for Multi-label Classification. | Dingming Liu, Haopu Shang, Wenjing Hong, Chao Qian |
| 2022 | SENSYS | ElasticAI-Creator: Optimizing Neural Networks for Time-Series-Analysis for on-Device Machine Learning in IoT Systems. | Chao Qian, Lukas Einhaus, Gregor Schiele |
| 2021 | AAAI | Multi-Objective Submodular Maximization by Regret Ratio Minimization with Theoretical Guarantee. | Chao Feng, Chao Qian |
| 2021 | CEC | Prediction Guided Meta-Learning for Multi-Objective Reinforcement Learning. | Fei-Yu Liu, Chao Qian |
| 2021 | GECCO | Evolutionary submodular optimisation. | Aneta Neumann, Frank Neumann, Chao Qian |
| 2021 | IJCAI | Fast Pareto Optimization for Subset Selection with Dynamic Cost Constraints. | Chao Bian, Chao Qian, Frank Neumann, Yang Yu |
| 2021 | IJCAI | Evolutionary Gradient Descent for Non-convex Optimization. | Ke Xue, Chao Qian, Ling Xu, Xudong Fei |
| 2020 | AAAI | Subset Selection by Pareto Optimization with Recombination. | Chao Qian, Chao Bian, Chao Feng |
| 2020 | AAAI | An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints. | Chao Bian, Chao Feng, Chao Qian, Yang Yu |
| 2020 | IJCAI | Bayesian Optimization using Pseudo-Points. | Chao Qian, Hang Xiong, Ke Xue |
| 2020 | IJCAI | Self-Guided Evolution Strategies with Historical Estimated Gradients. | Fei-Yu Liu, Zi-Niu Li, Chao Qian |
| 2020 | PERCOM | An Embedded CNN Implementation for On-Device ECG Analysis. | Alwyn Burger, Chao Qian, Gregor Schiele, Domenik Helms |
| 2019 | AAAI | Unsupervised Feature Selection by Pareto Optimization. | Chao Feng, Chao Qian, Ke Tang |
| 2018 | AAAI | On Multiset Selection With Size Constraints. | Chao Qian, Yibo Zhang, Ke Tang, Xin Yao |
| 2018 | GECCO | Analysis of noisy evolutionary optimization when sampling fails. | Chao Qian, Chao Bian, Yang Yu, Ke Tang, Xin Yao |
| 2018 | IJCAI | A General Approach to Running Time Analysis of Multi-objective Evolutionary Algorithms. | Chao Bian, Chao Qian, Ke Tang |
| 2018 | IJCAI | Efficient DNN Neuron Pruning by Minimizing Layer-wise Nonlinear Reconstruction Error. | Chunhui Jiang, Guiying Li, Chao Qian, Ke Tang |
| 2018 | IJCAI | Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. | Guiying Li, Chao Qian, Chunhui Jiang, Xiaofen Lu, Ke Tang |
| 2018 | IJCAI | Approximation Guarantees of Stochastic Greedy Algorithms for Subset Selection. | Chao Qian, Yang Yu, Ke Tang |
| 2018 | IJCAI | Sequence Selection by Pareto Optimization. | Chao Qian, Chao Feng, Ke Tang |
| 2018 | IJCAI | Distributed Pareto Optimization for Subset Selection. | Chao Qian, Guiying Li, Chao Feng, Ke Tang |
| 2018 | PPSN | Towards a Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes Under General Bit-Wise Noise. | Chao Bian, Chao Qian, Ke Tang |
| 2017 | CEC | Evolutionary multi-objective optimization made faster by sequential decomposition. | Jing-Cheng Shi, Chao Qian, Yang Yu |
| 2017 | GECCO | Running time analysis of the (1+1)-EA for onemax and leadingones under bit-wise noise. | Chao Qian, Chao Bian, Wu Jiang, Ke Tang |
| 2017 | IJCAI | On Subset Selection with General Cost Constraints. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang |
| 2017 | IJCAI | Optimizing Ratio of Monotone Set Functions. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2016 | CEC | Search based recommender system using many-objective evolutionary algorithm. | Bingdong Li, Chao Qian, Jinlong Li, Ke Tang, Xin Yao |
| 2016 | IJCAI | Parallel Pareto Optimization for Subset Selection. | Chao Qian, Jing-Cheng Shi, Yang Yu, Ke Tang, Zhi-Hua Zhou |
| 2016 | IDEAL | A Lower Bound Analysis of Population-Based Evolutionary Algorithms for Pseudo-Boolean Functions. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2016 | PPSN | Selection Hyper-heuristics Can Provably Be Helpful in Evolutionary Multi-objective Optimization. | Chao Qian, Ke Tang, Zhi-Hua Zhou |
| 2015 | AAAI | Pareto Ensemble Pruning. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2015 | CEC | Running time analysis: Convergence-based analysis reduces to switch analysis. | Yang Yu, Chao Qian |
| 2015 | IJCAI | On Constrained Boolean Pareto Optimization. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2014 | ISM | Mobile App Connecting People Based on Personality Detection and Image Perception Analysis. | Ruichi Yu, Shuguan Yang, Guifan Li, Chao Qian, Sambit Sahu, Ching-Yung Lin |
| 2014 | PPSN | On the Effectiveness of Sampling for Evolutionary Optimization in Noisy Environments. | Chao Qian, Yang Yu, Yaochu Jin, Zhi-Hua Zhou |
| 2012 | PPSN | On Algorithm-Dependent Boundary Case Identification for Problem Classes. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2011 | GECCO | An analysis on recombination in multi-objective evolutionary optimization. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2011 | GECCO | Collisions are helpful for computing unique input-output sequences. | Chao Qian, Yang Yu, Zhi-Hua Zhou |
| 2010 | PPSN | Towards Analyzing Recombination Operators in Evolutionary Search. | Yang Yu, Chao Qian, Zhi-Hua Zhou |