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papers

Publications (112)

cs.LG2026

On the Learnability of Offline Model-Based Optimization: A Ranking Perspective

Shen-Huan Lyu, Rong-Xi Tan, Ke Xue +4

cs.LG2025

Automating Versatile Time-Series Analysis with Tiny Transformers on Embedded FPGAs

Tianheng Ling, Chao Qian, Lukas Johannes Haßler +1

cs.NE2024

A First Running Time Analysis of the Strength Pareto Evolutionary Algorithm 2 (SPEA2)

Shengjie Ren, Chao Bian, Miqing Li +1

cs.LG2026

Automated Energy-Aware Time-Series Model Deployment on Embedded FPGAs for Resilient Combined Sewer Overflow Management

Tianheng Ling, Vipin Singh, Chao Qian +2

cs.LG2025

Diversity from Human Feedback

Ren-Jian Wang, Ke Xue, Yutong Wang +4

cs.LG2025

Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models

Ren-Jian Wang, Ke Xue, Zeyu Qin +7

cs.AR2023

Enhancing Energy-efficiency by Solving the Throughput Bottleneck of LSTM Cells for Embedded FPGAs

Chao Qian, Tianheng Ling, Gregor Schiele

cs.NE2026

Pareto Optimization with Robust Evaluation for Noisy Subset Selection

Yiheng Xu, Danxuan Liu, Bin Zhang +2

cs.LG2025

Pareto Set Learning for Multi-Objective Reinforcement Learning

Erlong Liu, Yu-Chang Wu, Xiaobin Huang +4

cs.LG2024

Offline Multi-Objective Optimization

Ke Xue, Rong-Xi Tan, Xiaobin Huang +1

stat.ML2023

Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method

Jinming Fan, Chao Qian, Shaodong Zhou

cs.NE2022

Running Time Analysis of the Non-dominated Sorting Genetic Algorithm II (NSGA-II) using Binary or Stochastic Tournament Selection

Chao Bian, Chao Qian

cs.CL2023

Effective and Imperceptible Adversarial Textual Attack via Multi-objectivization

Shengcai Liu, Ning Lu, Wenjing Hong +2

math.DG2014

Isoparametric functions on exotic spheres

Chao Qian, Zizhou Tang

cs.LG2024

Detection-Rate-Emphasized Multi-objective Evolutionary Feature Selection for Network Intrusion Detection

Zi-Hang Cheng, Haopu Shang, Chao Qian

cs.NE2022

On the Robustness of Median Sampling in Noisy Evolutionary Optimization

Chao Bian, Chao Qian, Yang Yu +1

cs.AR2026

Open3DBench: Open-Source Benchmark for 3D-IC Backend Implementation and PPA Evaluation

Yunqi Shi, Chengrui Gao, Wanqi Ren +6

math.DG2014

Recent progress in isoparametric functions and isoparametric hypersurfaces

Chao Qian, Zizhou Tang

cs.LG2025

ReLAM: Learning Anticipation Model for Rewarding Visual Robotic Manipulation

Nan Tang, Jing-Cheng Pang, Guanlin Li +2

cs.LG2022

Multi-agent Dynamic Algorithm Configuration

Ke Xue, Jiacheng Xu, Lei Yuan +4

cs.LG2025

BBOPlace-Bench: Benchmarking Black-Box Optimization for Chip Placement

Ke Xue, Ruo-Tong Chen, Rong-Xi Tan +5

math.DG2023

Symmetry of hypersurfaces with symmetric boundary

Hui Ma, Chao Qian, Jing Wu +1

cs.NE2022

Neural Network Pruning by Cooperative Coevolution

Haopu Shang, Jia-Liang Wu, Wenjing Hong +1

cs.NE2025

A Theoretical Perspective on Why Stochastic Population Update Needs an Archive in Evolutionary Multi-objective Optimization

Shengjie Ren, Zimin Liang, Miqing Li +1

eess.SP2026

StrikeWatch: Wrist-worn Gait Recognition with Compact Time-series Models on Low-power FPGAs

Tianheng Ling, Chao Qian, Peter Zdankin +2

physics.app-ph2025

Parallel nonlinear neuromorphic computing with temporal encoding

Guangfeng You, Chao Qian, Hongsheng Chen

cs.LG2024

Monte Carlo Tree Search based Space Transfer for Black-box Optimization

Shukuan Wang, Ke Xue, Lei Song +2

math.DG2012

Finiteness theorems for equifocal hypersurfaces

Jianquan Ge, Chao Qian, Zizhou Tang

cs.LG2026

Robust Length Prediction: A Perspective from Heavy-Tailed Prompt-Conditioned Distributions

Jing Wang, Yu-Yang Qian, Ke Xue +3

physics.optics2026

Revealing the long-range coupling for multi-dimensional metasurface multiplexer

Ouling Wu, Chao Qian, Guangfeng You +1

math.DG2016

Ricci curvature of double manifolds via isoparametric foliations

ChiaKuei Peng, Chao Qian

cs.LG2024

An Automated Approach to Collecting and Labeling Time Series Data for Event Detection Using Elastic Node Hardware

Tianheng Ling, Islam Mansour, Chao Qian +1

cs.NE2024

Maintaining Diversity Provably Helps in Evolutionary Multimodal Optimization

Shengjie Ren, Zhijia Qiu, Chao Bian +2

cs.AR2025

Timing-Driven Global Placement by Efficient Critical Path Extraction

Yunqi Shi, Siyuan Xu, Shixiong Kai +4

cs.AR2026

FlowPlace: Flow Matching for Chip Placement

Peng Xie, Ke Xue, Yunqi Shi +6

cs.NE2024

Peptide Vaccine Design by Evolutionary Multi-Objective Optimization

Dan-Xuan Liu, Yi-Heng Xu, Chao Qian

cs.NE2023

Can Evolutionary Clustering Have Theoretical Guarantees?

Chao Qian

cs.AR2026

How Can Reinforcement Learning Achieve Expert-level Placement?

Ruo-Tong Chen, Ke Xue, Chengrui Gao +7

cs.LG2023

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue +1

cs.NE2022

Multi-objective Evolutionary Algorithms are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions

Chao Qian

cs.DS2023

Submodular Maximization under the Intersection of Matroid and Knapsack Constraints

Yu-Ran Gu, Chao Bian, Chao Qian

physics.optics2018

Multifrequency superscattering from subwavelength hyperbolic structures

Chao Qian, Xiao Lin, Yi Yang +8

cs.LG2026

Resource-aware Mixed-precision Quantization for Enhancing Deployability of Transformers for Time-series Forecasting on Embedded FPGAs

Tianheng Ling, Chao Qian, Gregor Schiele

cs.NE2024

Quality-Diversity Algorithms Can Provably Be Helpful for Optimization

Chao Qian, Ke Xue, Ren-Jian Wang

cs.LG2025

FlowPrecision: Advancing FPGA-Based Real-Time Fluid Flow Estimation with Linear Quantization

Tianheng Ling, Julian Hoever, Chao Qian +1

eess.SP2026

Towards Auto-Building of Embedded FPGA-based Soft Sensors for Wastewater Flow Estimation

Tianheng Ling, Chao Qian, Gregor Schiele

cs.AR2026

Idle is the New Sleep: Configuration-Aware Alternative to Powering Off FPGA-Based DL Accelerators During Inactivity

Chao Qian, Christopher Cichiwskyj, Tianheng Ling +1

cs.NE2025

Stochastic Population Update Can Provably Be Helpful in Multi-Objective Evolutionary Algorithms

Chao Bian, Yawen Zhou, Miqing Li +1

cs.LG2024

Confidence-aware Contrastive Learning for Selective Classification

Yu-Chang Wu, Shen-Huan Lyu, Haopu Shang +2

math.DG2012

New examples of Willmore submanifolds in the unit sphere via isoparametric functions,II

Chao Qian, Zizhou Tang, Wenjiao Yan

math.DG2015

Differential topology interacts with isoparametric foliations

Jianquan Ge, Chao Qian

cs.NE2022

Maximizing Submodular or Monotone Approximately Submodular Functions by Multi-objective Evolutionary Algorithms

Chao Qian, Yang Yu, Ke Tang +2

cs.NE2022

Robust Subset Selection by Greedy and Evolutionary Pareto Optimization

Chao Bian, Yawen Zhou, Chao Qian

cs.NE2024

An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms

Chao Bian, Shengjie Ren, Miqing Li +1

physics.chem-ph2026

ChemFlow:A Hierarchical Neural Network for Multiscale Representation Learning in Chemical Mixtures

Jinming Fan, Chao Qian, Wilhelm T. S. Huck +2

cs.LG2025

Sequential Multi-Agent Dynamic Algorithm Configuration

Chen Lu, Ke Xue, Lei Yuan +4

math.OC2025

Neural Solver Selection for Combinatorial Optimization

Chengrui Gao, Haopu Shang, Ke Xue +1

cs.LG2024

Reinforced In-Context Black-Box Optimization

Lei Song, Chenxiao Gao, Ke Xue +5

cs.LG2024

Towards Generalizable Neural Solvers for Vehicle Routing Problems via Ensemble with Transferrable Local Policy

Chengrui Gao, Haopu Shang, Ke Xue +2

cs.MA2023

Fast Teammate Adaptation in the Presence of Sudden Policy Change

Ziqian Zhang, Lei Yuan, Lihe Li +5

stat.ML2020

Bayesian Optimization using Pseudo-Points

Chao Qian, Hang Xiong, Ke Xue

cs.AR2026

Energy Efficient LSTM Accelerators for Embedded FPGAs through Parameterised Architecture Design

Chao Qian, Tianheng Ling, Gregor Schiele

cs.LG2022

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization

Lei Song, Ke Xue, Xiaobin Huang +1

cs.CC2022

Running Time Analysis of the (1+1)-EA for Robust Linear Optimization

Chao Bian, Chao Qian, Ke Tang +1

cs.LG2026

Enabling Vibration-Based Gesture Recognition on Everyday Furniture via Energy-Efficient FPGA Implementation of 1D Convolutional Networks

Koki Shibata, Tianheng Ling, Chao Qian +4

cs.LG2025

Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning

Ming Chen, Sheng Tang, Rong-Xi Tan +4

cs.LG2024

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

Ke Xue, Ruo-Tong Chen, Xi Lin +4

cs.AI2020

Accelerating gradient-based topology optimization design with dual-model neural networks

Chao Qian, Wenjing Ye

cs.NE2025

Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization

Shengjie Ren, Zimin Liang, Miqing Li +1

math.DG2020

Extrinsic geometry of the Gromoll-Meyer sphere

Chao Qian, Zizhou Tang, Wenjiao Yan

cs.NE2025

Runtime Analysis of Evolutionary NAS for Multiclass Classification

Zeqiong Lv, Chao Qian, Yun Liu +2

cs.AR2025

Re$^{\text{2}}$MaP: Macro Placement by Recursively Prototyping and Packing Tree-based Relocating

Yunqi Shi, Xi Lin, Zhiang Wang +8

cs.NE2023

Towards Running Time Analysis of Interactive Multi-objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

physics.chem-ph2025

MesoNet: A Fundamental Principle for Multi-Representation Learning in Complex Chemical Systems

Jinming Fan, Chao Qian, Shaodong Zhou

cs.NE2016

A Lower Bound Analysis of Population-based Evolutionary Algorithms for Pseudo-Boolean Functions

Chao Qian, Yang Yu, Zhi-Hua Zhou

physics.chem-ph2026

DeepHartree: A Poisson-Coupled Neural Field for One-Shot Density Functional Theory

Jiankun Wu, Jinming Fan, Chao Qian +1

cs.NE2012

Towards Analyzing Crossover Operators in Evolutionary Search via General Markov Chain Switching Theorem

Yang Yu, Chao Qian, Zhi-Hua Zhou

cs.LG2023

A Study of Quantisation-aware Training on Time Series Transformer Models for Resource-constrained FPGAs

Tianheng Ling, Chao Qian, Lukas Einhaus +1

math.DG2022

Topology and curvature of isoparametric families in spheres

Chao Qian, Zizhou Tang, Wenjiao Yan

cs.LG2026

Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT

Tianheng Ling, Chao Qian, Gregor Schiele

cs.AI2013

Analyzing Evolutionary Optimization in Noisy Environments

Chao Qian, Yang Yu, Zhi-Hua Zhou

cs.LG2024

Escaping Local Optima in Global Placement

Ke Xue, Xi Lin, Yunqi Shi +3

math.DG2025

Isoparametric foliations and complex structures

Chao Qian, Zizhou Tang, Wenjiao Yan

cs.LG2024

On-Device Soft Sensors: Real-Time Fluid Flow Estimation from Level Sensor Data

Tianheng Ling, Chao Qian, Gregor Schiele

math.DG2018

Clifford algebra, isoparametric foliation and related geometric constructions

Chao Qian, Zizhou Tang

cs.NE2024

A First Step Towards Runtime Analysis of Evolutionary Neural Architecture Search

Zeqiong Lv, Chao Qian, Yanan Sun

math.DG2016

Isoparametric foliations, a problem of Eells-Lemaire and conjectures of Leung

Chao Qian, Zizhou Tang

cs.NE2024

Migrant Resettlement by Evolutionary Multi-objective Optimization

Dan-Xuan Liu, Yu-Ran Gu, Chao Qian +2

cs.AI2023

Benchmarking Algorithms for Submodular Optimization Problems Using IOHProfiler

Frank Neumann, Aneta Neumann, Chao Qian +7

cs.NE2022

Running Time Analysis of the (1+1)-EA for OneMax and LeadingOnes under Bit-wise Noise

Chao Qian, Chao Bian, Wu Jiang +1

physics.class-ph2018

Experimental observation of superscattering

Chao Qian, Xiao Lin, Yi Yang +6

cs.LG2023

Macro Placement by Wire-Mask-Guided Black-Box Optimization

Yunqi Shi, Ke Xue, Lei Song +1

cs.LG2019

Maximizing Monotone DR-submodular Continuous Functions by Derivative-free Optimization

Yibo Zhang, Chao Qian, Ke Tang

cs.LG2022

ZOOpt: Toolbox for Derivative-Free Optimization

Yu-Ren Liu, Yi-Qi Hu, Hong Qian +2

cs.LG2022

An Adaptive and Scalable ANN-based Model-Order-Reduction Method for Large-Scale TO Designs

Ren Kai Tan, Chao Qian, Dan Xu +1

cs.LG2025

Towards Universal Offline Black-Box Optimization via Learning Language Model Embeddings

Rong-Xi Tan, Ming Chen, Ke Xue +4

cs.NE2024

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution

Ke Xue, Yutong Wang, Cong Guan +5

math.DG2022

On two questions of James

Chao Qian, Zizhou Tang, Wenjiao Yan

physics.optics2026

Programmable Electromagnetic Space via Metasurface Clusters

Min Li, Lixiang Meng, Gongxu Dong +7

cs.MA2023

Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers

Lei Yuan, Zi-Qian Zhang, Ke Xue +6