Bin Li

Orcid: 0000-0002-2332-3959

Affiliations:
  • University of Science and Technology of China, School of Information Science and Technology, Hefei, China
  • University of Science and Technology of China, USTC-Birmingham Joint Research Institute in Intelligent Computation and Its Applications (UBRI) / CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System, Heifei, China
  • University of Science and Technology of China, Nature Inspired Computation and Applications Laboratory (NICAL), Heifei, China
  • University of Science and Technology of China, Hefei, China (PhD 2001)


According to our database1, Bin Li authored at least 164 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multi-modal interaction with transformers: bridging robots and human with natural language.
Robotica, February, 2024

GSC: A Graph and Spatio-Temporal Continuity Based Framework for Accident Anticipation.
IEEE Trans. Intell. Veh., January, 2024

A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.
IEEE Trans. Inf. Forensics Secur., 2024

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions.
CoRR, 2024

MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.
CoRR, 2024

One-shot Generative Domain Adaptation in 3D GANs.
CoRR, 2024

Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks.
CoRR, 2024

Benchmarking End-To-End Performance of AI-Based Chip Placement Algorithms.
CoRR, 2024

Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning.
CoRR, 2024

Real is not True: Backdoor Attacks Against Deepfake Detection.
CoRR, 2024

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rethinking Branching on Exact Combinatorial Optimization Solver: The First Deep Symbolic Discovery Framework.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Tightening the Approximation Error of Adversarial Risk with Auto Loss Function Search.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Deep Symbolic Optimization for Combinatorial Optimization: Accelerating Node Selection by Discovering Potential Heuristics.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

Infinite-ID: Identity-Preserved Personalization via ID-Semantics Decoupling Paradigm.
Proceedings of the Computer Vision - ECCV 2024, 2024

Idling Neurons, Appropriately Lenient Workload During Fine-Tuning Leads to Better Generalization.
Proceedings of the Computer Vision - ECCV 2024, 2024

Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Systematic Survey of Regularization and Normalization in GANs.
ACM Comput. Surv., November, 2023

Model-Free Neural Counterfactual Regret Minimization With Bootstrap Learning.
IEEE Trans. Games, September, 2023

Structural Parameter Space Exploration for Reinforcement Learning via a Matrix Variate Distribution.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023

New Reliability-Driven Bounds for Architecture-Based Multi-Objective Testing Resource Allocation.
IEEE Trans. Software Eng., April, 2023

A New Perspective on Stabilizing GANs Training: Direct Adversarial Training.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

Exploring the Effect of High-frequency Components in GANs Training.
ACM Trans. Multim. Comput. Commun. Appl., 2023

Enhancing Backdoor Attacks With Multi-Level MMD Regularization.
IEEE Trans. Dependable Secur. Comput., 2023

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.
CoRR, 2023

Efficient Trigger Word Insertion.
CoRR, 2023

Peer is Your Pillar: A Data-unbalanced Conditional GANs for Few-shot Image Generation.
CoRR, 2023

Explore the Effect of Data Selection on Poison Efficiency in Backdoor Attacks.
CoRR, 2023

A Proxy-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks.
CoRR, 2023

Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory.
CoRR, 2023

Frequency Decomposition to Tap the Potential of Single Domain for Generalization.
CoRR, 2023

Provably Convergent Subgraph-wise Sampling for Fast GNN Training.
CoRR, 2023

Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution.
CoRR, 2023

Domain Re-Modulation for Few-Shot Generative Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TODE-Trans: Transparent Object Depth Estimation with Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Double Actors and Uncertainty-Weighted Critics for Offline Reinforcement Learning.
Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

What You See is what You Grasp: User-Friendly Grasping Guided by Near-eye-tracking.
Proceedings of the IEEE International Conference on Development and Learning, 2023

GAN Inversion Based Point Clouds Denoising in Foggy Scenarios for Autonomous Driving.
Proceedings of the IEEE International Conference on Development and Learning, 2023

Siamese Image Modeling for Self-Supervised Vision Representation Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Towards All-in-One Pre-Training via Maximizing Multi-Modal Mutual Information.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Neural Future-Dependent Online Mirror Descent.
Proceedings of the 6th International Conference on Algorithms, 2023

2022
Slippage-robust Gaze Tracking for Near-eye Display.
CoRR, 2022

Domain-Unified Prompt Representations for Source-Free Domain Generalization.
CoRR, 2022

A Comprehensive Survey on Data-Efficient GANs in Image Generation.
CoRR, 2022

IMIIN: An inter-modality information interaction network for 3D multi-modal breast tumor segmentation.
Comput. Medical Imaging Graph., 2022

Faster Optimistic Online Mirror Descent for Extensive-Form Games.
Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Roadblocks for Temporarily Disabling Shortcuts and Learning New Knowledge.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Orientation-aware People Detection and Counting Method based on Overhead Fisheye Camera.
Proceedings of the IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2022

Learning Task-relevant Representations for Generalization via Characteristic Functions of Reward Sequence Distributions.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2022

Data-Efficient Backdoor Attacks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent.
Proceedings of the International Conference on Machine Learning, 2022

Dynamic Feature Pyramid Networks for Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-paced Learning for Pedestrian Trajectory Prediction.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

Cut-in Prediction in Egocentric Videos using Extended Environment Perception with Status Descriptors.
Proceedings of the International Conference on Advanced Robotics and Mechatronics , 2022

FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

Sample-Efficient Reinforcement Learning via Conservative Model-Based Actor-Critic.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Learning Robust Policy against Disturbance in Transition Dynamics via State-Conservative Policy Optimization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Enhanced Constraint Handling for Reliability-Constrained Multiobjective Testing Resource Allocation.
IEEE Trans. Evol. Comput., 2021

Interpreting the Latent Space of GANs via Measuring Decoupling.
IEEE Trans. Artif. Intell., 2021

On the receptive field misalignment in CAM-based visual explanations.
Pattern Recognit. Lett., 2021

Improving resistance to adversarial deformations by regularizing gradients.
Neurocomputing, 2021

A Statistical Difference Reduction Method for Escaping Backdoor Detection.
CoRR, 2021

DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19.
CoRR, 2021

Context-Based Soft Actor Critic for Environments with Non-stationary Dynamics.
CoRR, 2021

Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2021

Are High-Frequency Components Beneficial for Training of Generative Adversarial Networks.
CoRR, 2021

Understanding the Error in Evaluating Adversarial Robustness.
CoRR, 2021

Deformable DETR: Deformable Transformers for End-to-End Object Detection.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts.
IEEE Trans. Medical Imaging, 2020

Finding the Largest Successful Coalition under the Strict Goal Preferences of Agents.
ACM Trans. Auton. Adapt. Syst., 2020

Multi-objective redundancy hardening with optimal task mapping for independent tasks on multi-cores.
Soft Comput., 2020

Direct Adversarial Training for GANs.
CoRR, 2020

Regularization And Normalization For Generative Adversarial Networks: A Review.
CoRR, 2020

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation.
CoRR, 2020

W-net: Simultaneous segmentation of multi-anatomical retinal structures using a multi-task deep neural network.
CoRR, 2020

Special Issue on Benchmarking of Computational Intelligence Algorithms in the Applied Soft Computing Journal.
Appl. Soft Comput., 2020

Latent Context Based Soft Actor-Critic.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Efficient Evolution for Neural Architecture Search.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

DA-RefineNet: Dual-inputs Attention RefineNet for Whole Slide Image Segmentation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Interpreting the Latent Space of GANs via Correlation Analysis for Controllable Concept Manipulation.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Boltzmann Exploration for Deterministic Policy Optimization.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Implicit Posterior Sampling Reinforcement Learning for Continuous Control.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

VL-BERT: Pre-training of Generic Visual-Linguistic Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

InvUnet: Inverse the Unet for Nuclear Segmentation in H&E Stained Images.
Proceedings of the 12th International Conference on Advanced Computational Intelligence, 2020

2019
Model complex control CMA-ES.
Swarm Evol. Comput., 2019

Multiple complementary inverted indexing based on multiple metrics.
Multim. Tools Appl., 2019

DA-RefineNet:A Dual Input Whole Slide Image Segmentation Algorithm Based on Attention.
CoRR, 2019

Learn a Prior for RHEA for Better Online Planning.
CoRR, 2019

ResAttr-GAN: Unpaired Deep Residual Attributes Learning for Multi-Domain Face Image Translation.
IEEE Access, 2019

CapSurv: Capsule Network for Survival Analysis With Whole Slide Pathological Images.
IEEE Access, 2019

β-Dropout: A Unified Dropout.
IEEE Access, 2019

Two-stage population based training method for deep reinforcement learning.
Proceedings of the 3rd International Conference on High Performance Compilation, 2019

Efficient Online Hyperparameter Adaptation for Deep Reinforcement Learning.
Proceedings of the Applications of Evolutionary Computation, 2019

A Two-Stage Evolutionary Algorithm for Many-Objective Optimization.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2019

Enhancing Rolling Horizon Evolution with Policy and Value Networks.
Proceedings of the IEEE Conference on Games, 2019

Cooperative Co-evolution with Soft Grouping for Large Scale Global Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
Population Evolvability: Dynamic Fitness Landscape Analysis for Population-Based Metaheuristic Algorithms.
IEEE Trans. Evol. Comput., 2018

Automatically discovering clusters of algorithm and problem instance behaviors as well as their causes from experimental data, algorithm setups, and instance features.
Appl. Soft Comput., 2018

Evolutionary Structure Optimization of Convolutional Neural Networks for Deployment on Resource Limited Systems.
Proceedings of the Intelligent Computing Theories and Application, 2018

A Grouping Genetic Algorithm Based on the GES Local Search for Pickup and Delivery Problem with Time Windows and LIFO Loading.
Proceedings of the Intelligent Computing Theories and Application, 2018

A MOEA/D approach to exploit the crucial structure of convolution kernels.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

SAR image retrieval based-on fly algorithm.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

A variable selection method for step cost facility location and network design problem.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

Optimization algorithm behavior modeling: A study on the traveling salesman problem.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
KW-Race and Fast KW-Race: Racing-Based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-Box Optimization Problems.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space.
Proceedings of the Simulated Evolution and Learning - 11th International Conference, 2017

Modeling optimization algorithm runtime behavior and its applications.
Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Developer Teams on Bug Resolution: An Empirical Study on Mozilla Firefox and Eclipse JDT Projects.
Proceedings of the 24th Asia-Pacific Software Engineering Conference Workshops, 2017

2016
Defect- and Variation-Tolerant Logic Mapping in Nanocrossbar Using Bipartite Matching and Memetic Algorithm.
IEEE Trans. Very Large Scale Integr. Syst., 2016

A hybrid evolutionary algorithm for multiobjective variation tolerant logic mapping on nanoscale crossbar architectures.
Appl. Soft Comput., 2016

Combining the ant system algorithm and simulated annealing for 3D/2D fixed-outline floorplanning.
Appl. Soft Comput., 2016

Circuit tolerance design by differential evolution with hybrid analysis method.
Proceedings of the Eighth International Conference on Advanced Computational Intelligence, 2016

Learning Features for Discriminative Behavior Analysis of Evolutionary Algorithms via Slow Feature Analysis.
Proceedings of the Genetic and Evolutionary Computation Conference, 2016

Evolutionary Computation and Big Data: Key Challenges and Future Directions.
Proceedings of the Data Mining and Big Data, First International Conference, 2016

2015
A New Evolutionary Algorithm with Structure Mutation for the Maximum Balanced Biclique Problem.
IEEE Trans. Cybern., 2015

2014
A New Memetic Algorithm With Fitness Approximation for the Defect-Tolerant Logic Mapping in Crossbar-Based Nanoarchitectures.
IEEE Trans. Evol. Comput., 2014

A Fast Extraction Algorithm for Defect-Free Subcrossbar in Nanoelectronic Crossbar.
ACM J. Emerg. Technol. Comput. Syst., 2014

Hybridization of NSGA-II with greedy re-assignment for variation tolerant logic mapping on nano-scale crossbar architectures.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

Memetic algorithm with adaptive local search depth for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Two-stage ensemble memetic algorithm: Function optimization and digital IIR filter design.
Inf. Sci., 2013

Fixed-point digital IIR filter design using two-stage ensemble evolutionary algorithm.
Appl. Soft Comput., 2013

Optimal Testing Resource Allocation for modular software systems based-on multi-objective evolutionary algorithms with effective local search strategy.
Proceedings of the 2013 IEEE Workshop on Memetic Computing, 2013

Velocity Divergence of CCPSO in Large Scale Global Optimization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2013, 2013

An evolution strategy assisted by an ensemble of local Gaussian process models.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Coverage Optimization for Defect-Tolerance Logic Mapping on Nanoelectronic Crossbar Architectures.
J. Comput. Sci. Technol., 2012

Empirical study of the effect of variable correlation on grouping in Cooperative Coevolutionary Evolutionary Algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Cooperative Coevolution with global search for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Self-adaptive learning based particle swarm optimization.
Inf. Sci., 2011

Digital IIR filter design using multi-objective optimization evolutionary algorithm.
Appl. Soft Comput., 2011

Evaluation of Two-Stage Ensemble Evolutionary Algorithm for Numerical Optimization.
Proceedings of the Advances in Swarm Intelligence - Second International Conference, 2011

A novel PRO-CAM based interactive display surface.
Proceedings of the 2011 international ACM workshop on Interactive multimedia on mobile and portable devices, 2011

Estimation of distribution and differential evolution cooperation for real-world numerical optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

Enhancing differential evolution with effective evolutionary local search in memetic framework.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
Multi-strategy ensemble evolutionary algorithm for dynamic multi-objective optimization.
Memetic Comput., 2010

Estimation of distribution and differential evolution cooperation for large scale economic load dispatch optimization of power systems.
Inf. Sci., 2010

Hybrid of comprehensive learning particle swarm optimization and SQP algorithm for large scale economic load dispatch optimization of power system.
Sci. China Inf. Sci., 2010

Optical flow based finger stroke detection.
Proceedings of the Visual Communications and Image Processing 2010, 2010

Research of constraint handling techniques for Economic Load Dispatch of power system.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Two-stage based ensemble optimization for large-scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
A Self-adaptive Mixed Distribution Based Uni-variate Estimation of Distribution Algorithm for Large Scale Global Optimization.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

A Robust Iris Localization Algorithm via Radial Symmetry for Nonideal Capturing Condition.
Int. J. Pattern Recognit. Artif. Intell., 2009

Variance priority based cooperative co-evolution differential evolution for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

Investigation of memory-based multi-objective optimization evolutionary algorithm in dynamic environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
A Multi-Objective Hw-sw Co-Synthesis Algorithm Based on Quantum-Inspired Evolutionary Algorithm.
Int. J. Comput. Intell. Appl., 2008

A hardware/software partitioning algorithm based on artificial immune principles.
Appl. Soft Comput., 2008

A set theoretical method for video synopsis.
Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, 2008

A restart univariate estimation of distribution algorithm: sampling under mixed Gaussian and Lévy probability distribution.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Understand behavior and performance of Real Coded Optimization Algorithms via NK-linkage model.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
An Approach for Dynamic Hardware /Software Partitioning Based on DPBIL.
Proceedings of the Third International Conference on Natural Computation, 2007

Hybrid quantum probabilistic coding genetic algorithm for large scale hardware-software co-synthesis of embedded systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2006
Multi-objective Q-bit Coding Genetic Algorithm for Hardware-Software Co-synthesis of Embedded Systems.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

Iris Recognition Algorithm Using Modified Log-Gabor Filters.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Analysis and Improvement of An Iris Identification Algorithm.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Palmprint Identification using Boosting Local Binary Pattern.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Continuous Optimization based-on Boosting Gaussian Mixture Model.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Precise Eye Localization with AdaBoost and Fast Radial Symmetry.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

Full-Space LDA With Evolutionary Selection for Face Recognition.
Proceedings of the Computational Intelligence and Security, International Conference, 2006

2004
Quantum secure circuit evaluation.
Sci. China Ser. F Inf. Sci., 2004

2002
Genetic Algorithm Based-On the Quantum Probability Representation.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2002

2001
Coarse-to-fine texture images retrieval method.
Proceedings of the Storage and Retrieval for Media Databases 2001, 2001


  Loading...