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Kun He

63 papers · 2016–2025 · 14 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (9) 🐝 Cross-Pollinator (6) πŸ—ΊοΈ Taxonomy Completionist (84) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (10) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (14) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (24) πŸ”¬ Deep Specialist (16) πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (225) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ”₯ Unstoppable (10) πŸ’Ž Century Club (63)

Conferences

AAAI (10) CVPR (9) NIPS (6) EMNLP (5) ICLR (5) ICML (5) IJCAI (5) ICCV (4) ACL (3) ECCV (3) NAACL (3) UAI (3) IJCNLP (1) WACV (1)

Top co-authors

Xiaosen Wang (9) Chu-Min Li (7) Jiongzhi Zheng (7) Stan Sclaroff (7) John E. Hopcroft (7) Yichen Yang (5) Fatih Cakir (4) Zhenhua Chen (4) Jianrong Zhou (4) Liwei Wang (4)

Research topics

Core AI (1)

Keywords

adversarial attack (11) combinatorial optimization (9) adversarial example (9) text classification (6) black-box attack (5) metric learning (4) branch and bound (4) local search (4) adversarial transferability (4) reinforcement learning (4) synonym substitution (4) graph neural network (3) neural network (3) gradient-based attack (3) representation learning (3) graph matching (3) word substitution (3) vision transformer (2) gradient descent (2) adversarial training (2)

Papers

CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning ICML 2025
Targeted control of fast prototyping through domain-specific interface ICML 2025
Refining Adaptive Zeroth-Order Optimization at Ease ICML 2025
Neural Collapse Inspired Knowledge Distillation AAAI 2025
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs ICLR 2025
ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers ICCV 2025
Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks NAACL 2025
Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack NAACL 2025
VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models EMNLP 2025
Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem IJCAI 2025
Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects ECCV 2024
Long-range Meta-path Search on Large-scale Heterogeneous Graphs NIPS 2024
Leveraging Contrastive Learning for Enhanced Node Representations in Tokenized Graph Transformers NIPS 2024
Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks NAACL 2024
KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem AAAI 2024
Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers IJCAI 2024
You Only Need Less Attention at Each Stage in Vision Transformers CVPR 2024
Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem AAAI 2023
Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions ACL 2023
Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers AAAI 2023
Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem AAAI 2023
On the Complexity of Bayesian Generalization ICML 2023
Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023
NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs ICLR 2023
FABind: Fast and Accurate Protein-Ligand Binding NIPS 2023
Rethinking the Data Annotation Process for Multi-View 3D Pose Estimation With Active Learning and Self-Training WACV 2023
AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation CVPR 2023
Rethinking the Backward Propagation for Adversarial Transferability NIPS 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks AAAI 2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token ICCV 2023
Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities CVPR 2022
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability CVPR 2022
Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack ECCV 2022
Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs EMNLP 2022
TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack EMNLP 2022
BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit IJCAI 2022
A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem IJCAI 2022
Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract) IJCAI 2022
Detecting textual adversarial examples through randomized substitution and vote UAI 2022
Robust textual embedding against word-level adversarial attacks UAI 2022
TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting EMNLP 2021
Crafting Adversarial Examples for Neural Machine Translation ACL 2021
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning CVPR 2021
Natural language adversarial defense through synonym encoding UAI 2021
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem AAAI 2021
Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks AAAI 2021
Crafting Adversarial Examples for Neural Machine Translation IJCNLP 2021
Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021
Robust Local Features for Improving the Generalization of Adversarial Training ICLR 2020
Single Image Reflection Removal Through Cascaded Refinement CVPR 2020
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ICLR 2020
A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems AAAI 2020
Improving the Generalization of Adversarial Training with Domain Adaptation ICLR 2019
Generalized Majorization-Minimization ICML 2019
Deep Metric Learning to Rank CVPR 2019
Multilevel Language and Vision Integration for Text-to-Clip Retrieval AAAI 2019
Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency ACL 2019
Towards Understanding Learning Representations: To What Extent Do Different Neural Networks Learn the Same Representation NIPS 2018
Local Descriptors Optimized for Average Precision CVPR 2018
Hashing as Tie-Aware Learning to Rank CVPR 2018
Hashing with Binary Matrix Pursuit ECCV 2018
MIHash: Online Hashing With Mutual Information ICCV 2017
A Powerful Generative Model Using Random Weights for the Deep Image Representation NIPS 2016