| 2026 | ACL | Mitigating Safety Context Amnesia in Multimodal Reasoning Models via Intent-Guided Safety Reasoning. | Xiyao Dong, Guangsheng Cheng, YiLong Chen, Xiaojin Zhang, Kun He |
| 2026 | ACL | Latent Attention Denoising: A Training-Free Energy-Based Framework for Mitigating Hallucinations in Vision-Language Models. | Zhiwen Luo, Siyu Jiang, Weilong Jiang, Kun He |
| 2026 | ACL | Federated LoRA Fine-Tuning with Pipelined Error-Mitigated Aggregation and Matrix-Wise Freezing. | Haoran Wang, Xiong Wang, Yuqing Li, Jing Chen, Junyi Zhang, Nan Yan, Kun He, Wei Wang |
| 2026 | INFOCOM | Less is More: Persistent Low-Frequency Backdoor Injection in Federated Learning. | Pei Ye, Yuqing Li, Kun He, Haoran Wang, Ruiying Du, Wei Wang |
| 2026 | KDD | Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates. | Kaiyuan Gao, Yusong Wang, Haoxiang Guan, Zun Wang, Qizhi Pei, John E. Hopcroft, Kun He, Lijun Wu |
| 2026 | NDSS | Formal Analysis of BLE Secure Connection Pairing and Revelation of the PE Confusion Attack. | Min Shi, Yongkang Xiao, Jing Chen, Kun He, Ruiying Du, Meng Jia |
| 2026 | SODA | Phase transition of the Sinkhorn-Knopp algorithm. | Kun He |
| 2026 | SAT | PALSAT: Deep Cooperation of Unit Propagation and Local Search in Incomplete SAT Solving. | Mingming Jin, Zhijie Kuang, Jiongzhi Zheng, Kun Mao, Kun He |
| 2025 | AAAI | Neural Collapse Inspired Knowledge Distillation. | Shuoxi Zhang, Zijian Song, Kun He |
| 2025 | ECAI | Attention-Preserving Feature Distortion Method for Highly Transferable Adversarial Attack on Vision Transformers. | Haobo Lu, Hanwen Cao, Kun He |
| 2025 | EMNLP | VisCRA: A Visual Chain Reasoning Attack for Jailbreaking Multimodal Large Language Models. | Bingrui Sima, Linhua Cong, Wenxuan Wang, Kun He |
| 2025 | ICASSP | Advancing SAR Image Robustness: Integrating Diffusion Models for Adversarial Purification and Speckle Noise Suppression. | Ganglin Xie, Haobo Lu, Xinze Zhang, Kun He |
| 2025 | ICASSP | Fading-Invariant Adversarial Attacks on Neural Modulation Recognition. | Xinze Zhang, Dengao Zhu, Xiyao Dong, Kun He |
| 2025 | ICCV | ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers. | Hanwen Cao, Haobo Lu, Xiaosen Wang, Kun He |
| 2025 | ICLR | Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. | Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang |
| 2025 | ICML | CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning. | Xuankun Rong, Jianshu Zhang, Kun He, Mang Ye |
| 2025 | ICML | Targeted control of fast prototyping through domain-specific interface. | Yu-Zhe Shi, Mingchen Liu, Hanlu Ma, Qiao Xu, Huamin Qu, Kun He, Lecheng Ruan, Qining Wang |
| 2025 | ICML | Refining Adaptive Zeroth-Order Optimization at Ease. | Yao Shu, Qixin Zhang, Kun He, Zhongxiang Dai |
| 2025 | ICPADS | HARE Attack: Inaudible Harmony in Voice Enrollment. | Xingcan Shang, Haolin Wu, Kun He, Jing Chen |
| 2025 | IJCAI | Exact Algorithms with New Upper Bounds for the Maximum k-plex Problem. | Jiongzhi Zheng, Mingming Jin, Kun He |
| 2025 | KDD | FABind+: Enhancing Molecular Docking through Improved Pocket Prediction and Pose Generation. | Kaiyuan Gao, Qizhi Pei, Gongbo Zhang, Jinhua Zhu, Kun He, Lijun Wu |
| 2025 | KDD | CovDocker: Benchmarking Covalent Drug Design with Tasks, Datasets, and Solutions. | Yangzhe Peng, Kaiyuan Gao, Liang He, Yuheng Cong, Haiguang Liu, Kun He, Lijun Wu |
| 2025 | NAACL | Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack. | Xin Liu, Aoyang Zhou, Kun He |
| 2025 | NAACL | Synonym-unaware Fast Adversarial Training against Textual Adversarial Attacks. | Yichen Yang, Xin Liu, Kun He |
| 2025 | SODA | FPTAS for Holant Problems with Log-Concave Signatures. | Kun He, Zhidan Li, Guoliang Qiu, Chihao Zhang |
| 2025 | TrustCom | TrustMFA: A Privacy-Preserving Multi-Factor Authentication Scheme with Anonymous Credential. | Wenjun Zhu, Jianan Hong, Shiyao Wang, Kunling Li, Kun He |
| 2025 | SP | Lombard-VLD: Voice Liveness Detection Based on Human Auditory Feedback. | Hongcheng Zhu, Zongkun Sun, Yanzhen Ren, Kun He, Yongpeng Yan, Zixuan Wang, Wuyang Liu, Yuhong Yang, Weiping Tu |
| 2024 | AAAI | KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum k-Defective Clique Problem. | Mingming Jin, Jiongzhi Zheng, Kun He |
| 2024 | CCS | TokenScout: Early Detection of Ethereum Scam Tokens via Temporal Graph Learning. | Cong Wu, Jing Chen, Ziming Zhao, Kun He, Guowen Xu, Yueming Wu, Haijun Wang, Hongwei Li, Yang Liu, Yang Xiang |
| 2024 | CogSci | CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay. | Jianshu Zhang, Yankai Fu, Ziheng Peng, Dongyu Yao, Kun He |
| 2024 | CVPR | You Only Need Less Attention at Each Stage in Vision Transformers. | Shuoxi Zhang, Hanpeng Liu, Stephen Lin, Kun He |
| 2024 | ECAI | Semantic Similarity Driven Multi-Modal Model for Rumor Detection. | Chenyang Li, Bo Xu, Meng Wang, Kun He |
| 2024 | ECAI | DiverTEAM: An Effective Evolutionary Algorithm for Diversified Top-k (Weight) Clique Search Problems. | Jinghui Xue, Jiongzhi Zheng, Kun He, Chu-Min Li, Yanli Liu |
| 2024 | ECAI | Grouped Logit Distillation Enhanced with Superclass Awareness for Efficient Knowledge Transfer. | Shuoxi Zhang, Hanpeng Liu, Yuyi Wang, Kun He |
| 2024 | ECAI | Sampling-Based Teacher Guided Method to Boost Transferable Attack on SAR Image Classification. | Aoyang Zhou, Yasmeen M. Khedr, Xin Liu, Kun He |
| 2024 | ECCV | Benchmarks and Challenges in Pose Estimation for Egocentric Hand Interactions with Objects. | Zicong Fan, Takehiko Ohkawa, Linlin Yang, Nie Lin, Zhishan Zhou, Shihao Zhou, Jiajun Liang, Zhong Gao, Xuanyang Zhang, Xue Zhang, Fei Li, Zheng Liu, Feng Lu, Karim Abou Zeid, Bastian Leibe, Jeongwan On, Seungryul Baek, Aditya Prakash, Saurabh Gupta, Kun He, Yoichi Sato, Otmar Hilliges, Hyung Jin Chang, Angela Yao |
| 2024 | ICASSP | Image Mixing and Gradient Smoothing to Enhance the SAR Image Attack Transferability. | Yue Xu, Xin Liu, Kun He, Shao Huang, Yaodong Zhao, Jie Gu |
| 2024 | IJCAI | Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers. | Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He |
| 2024 | IJCNN | Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification. | Zhenhua Chen, Xinze Zhang, Kun He |
| 2024 | INFOCOM | Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning. | Nan Yan, Yuqing Li, Jing Chen, Xiong Wang, Jianan Hong, Kun He, Wei Wang |
| 2024 | ICSE | PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG). | Ruichao Liang, Jing Chen, Kun He, Yueming Wu, Gelei Deng, Ruiying Du, Cong Wu |
| 2024 | NAACL | Query-Efficient Textual Adversarial Example Generation for Black-Box Attacks. | Zhen Yu, Zhenhua Chen, Kun He |
| 2023 | AAAI | Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem. | Yanli Liu, Jiming Zhao, Chu-Min Li, Hua Jiang, Kun He |
| 2023 | AAAI | Pointerformer: Deep Reinforced Multi-Pointer Transformer for the Traveling Salesman Problem. | Yan Jin, Yuandong Ding, Xuanhao Pan, Kun He, Li Zhao, Tao Qin, Lei Song, Jiang Bian |
| 2023 | AAAI | Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks. | Chao Li, Hao Xu, Kun He |
| 2023 | AAAI | Farsighted Probabilistic Sampling: A General Strategy for Boosting Local Search MaxSAT Solvers. | Jiongzhi Zheng, Kun He, Jianrong Zhou |
| 2023 | ACL | Robustness-Aware Word Embedding Improves Certified Robustness to Adversarial Word Substitutions. | Yibin Wang, Yichen Yang, Di He, Kun He |
| 2023 | BMVC | Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning. | Guodong Liu, Tongling Wang, Shuoxi Zhang, Kun He |
| 2023 | CVPR | AssemblyHands: Towards Egocentric Activity Understanding via 3D Hand Pose Estimation. | Takehiko Ohkawa, Kun He, Fadime Sener, Tomas Hodan, Luan Tran, Cem Keskin |
| 2023 | EMNLP | Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation. | Zhen Yu, Zhou Qin, Zhenhua Chen, Meihui Lian, Haojun Fu, Weigao Wen, Hui Xue, Kun He |
| 2023 | ICASSP | Capturing Cross-Scale Disparity for Stereo Image Super-Resolution. | Kun He, Changyu Li, Dongyang Zhang, Jie Shao |
| 2023 | ICCV | All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. | Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu |
| 2023 | ICLR | NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs. | Jinsong Chen, Kaiyuan Gao, Gaichao Li, Kun He |
| 2023 | ICML | On the Complexity of Bayesian Generalization. | Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu |
| 2023 | ICONIP | Knowledge-Distillation-Warm-Start Training Strategy for Lightweight Super-Resolution Networks. | Min Lei, Kun He, Hui Xu, Yunfeng Yang, Jie Shao |
| 2023 | KDD | Pre-training Antibody Language Models for Antigen-Specific Computational Antibody Design. | Kaiyuan Gao, Lijun Wu, Jinhua Zhu, Tianbo Peng, Yingce Xia, Liang He, Shufang Xie, Tao Qin, Haiguang Liu, Kun He, Tie-Yan Liu |
| 2023 | WACV | Rethinking the Data Annotation Process for Multiview 3D Pose Estimation with Active Learning and Self-Training. | Qi Feng, Kun He, He Wen, Cem Keskin, Yuting Ye |
| 2023 | SODA | Moser-Tardos Algorithm: Beyond Shearer's Bound. | Kun He, Qian Li, Xiaoming Sun |
| 2023 | SODA | Improved Bounds for Sampling Solutions of Random CNF Formulas. | Kun He, Kewen Wu, Kuan Yang |
| 2023 | SODA | Deterministic counting Lovsz local lemma beyond linear programming. | Kun He, Chunyang Wang, Yitong Yin |
| 2023 | WISE | Noise-Augmented Contrastive Learning for Sequential Recommendation. | Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang |
| 2022 | BMVC | Wide Feature Projection with Fast and Memory-Economic Attention for Efficient Image Super-Resolution. | Minghao Fu, Dongyang Zhang, Min Lei, Kun He, Changyu Li, Jie Shao |
| 2022 | CCS | EchoHand: High Accuracy and Presentation Attack Resistant Hand Authentication on Commodity Mobile Devices. | Cong Wu, Jing Chen, Kun He, Ziming Zhao, Ruiying Du, Chen Zhang |
| 2022 | COCOON | A 4-Space Bounded Approximation Algorithm for Online Bin Packing Problem. | Sizhe Li, Jinghui Xue, Mingming Jin, Kai Wang, Kun He |
| 2022 | CVPR | Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities. | Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov, Kun He, Dipika Singhania, Robert Wang, Angela Yao |
| 2022 | CVPR | Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. | Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He |
| 2022 | ECCV | Triangle Attack: A Query-Efficient Decision-Based Adversarial Attack. | Xiaosen Wang, Zeliang Zhang, Kangheng Tong, Dihong Gong, Kun He, Zhifeng Li, Wei Liu |
| 2022 | EMNLP | Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs. | Haohai Sun, Shangyi Geng, Jialun Zhong, Han Hu, Kun He |
| 2022 | EMNLP | TextHacker: Learning based Hybrid Local Search Algorithm for Text Hard-label Adversarial Attack. | Zhen Yu, Xiaosen Wang, Wanxiang Che, Kun He |
| 2022 | FOCS | Sampling Lovsz local lemma for general constraint satisfaction solutions in near-linear time. | Kun He, Chunyang Wang, Yitong Yin |
| 2022 | ICASSP | Position-Invariant Adversarial Attacks on Neural Modulation Recognition. | Zhen Yu, Yifeng Xiong, Kun He, Shao Huang, Yaodong Zhao, Jie Gu |
| 2022 | ICDM | Structural Robust Label Propagation on Homogeneous Graphs. | Qiuting He, Jinsong Chen, Hao Xu, Kun He |
| 2022 | IJCAI | Combining Clause Learning and Branch and Bound for MaxSAT (Extended Abstract). | Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Many, Djamal Habet, Kun He |
| 2022 | IJCAI | BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit. | Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li, Felip Many |
| 2022 | IJCAI | A Strengthened Branch and Bound Algorithm for the Maximum Common (Connected) Subgraph Problem. | Jianrong Zhou, Kun He, Jiongzhi Zheng, Chu-Min Li, Yanli Liu |
| 2022 | MOBIHOC | Online incentive mechanism for task offloading with privacy-preserving in UAV-assisted mobile edge computing. | Ruiting Zhou, Renli Zhang, Yufeng Wang, Haisheng Tan, Kun He |
| 2022 | UAI | Robust textual embedding against word-level adversarial attacks. | Yichen Yang, Xiaosen Wang, Kun He |
| 2022 | UAI | Detecting textual adversarial examples through randomized substitution and vote. | Xiaosen Wang, Yifeng Xiong, Kun He |
| 2022 | UIC | Long- and Short- Term Sequential Recommendation with Temporal Interval. | Kun He, Qiyan Liu, Qianmu Li, Shunmei Meng |
| 2021 | AAAI | Adversarial Training with Fast Gradient Projection Method against Synonym Substitution Based Text Attacks. | Xiaosen Wang, Yichen Yang, Yihe Deng, Kun He |
| 2021 | AAAI | Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem. | Jiongzhi Zheng, Kun He, Jianrong Zhou, Yan Jin, Chu-Min Li |
| 2021 | ACL | Crafting Adversarial Examples for Neural Machine Translation. | Xinze Zhang, Junzhe Zhang, Zhenhua Chen, Kun He |
| 2021 | BMVC | Boosting Adversarial Transferability through Enhanced Momentum. | Xiaosen Wang, Jiadong Lin, Han Hu, Jingdong Wang, Kun He |
| 2021 | CCS | Biometrics-Authenticated Key Exchange for Secure Messaging. | Mei Wang, Kun He, Jing Chen, Zengpeng Li, Wei Zhao, Ruiying Du |
| 2021 | CP | Combining Clause Learning and Branch and Bound for MaxSAT. | Chu-Min Li, Zhenxing Xu, Jordi Coll, Felip Many, Djamal Habet, Kun He |
| 2021 | CVPR | Enhancing the Transferability of Adversarial Attacks Through Variance Tuning. | Xiaosen Wang, Kun He |
| 2021 | EMNLP | TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting. | Haohai Sun, Jialun Zhong, Yunpu Ma, Zhen Han, Kun He |
| 2021 | ICCV | Admix: Enhancing the Transferability of Adversarial Attacks. | Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He |
| 2021 | ICICS | HIAWare: Speculate Handwriting on Mobile Devices with Built-In Sensors. | Jing Chen, Peidong Jiang, Kun He, Cheng Zeng, Ruiying Du |
| 2021 | INFOCOM | PROCESS: Privacy-Preserving On-Chain Certificate Status Service. | Meng Jia, Kun He, Jing Chen, Ruiying Du, Weihang Chen, Zhihong Tian, Shouling Ji |
| 2021 | KDD | A Multi-Graph Attributed Reinforcement Learning based Optimization Algorithm for Large-scale Hybrid Flow Shop Scheduling Problem. | Fei Ni, Jianye Hao, Jiawen Lu, Xialiang Tong, Mingxuan Yuan, Jiahui Duan, Yi Ma, Kun He |
| 2021 | STOC | Sampling constraint satisfaction solutions in the local lemma regime. | Weiming Feng, Kun He, Yitong Yin |
| 2021 | UAI | Natural language adversarial defense through synonym encoding. | Xiaosen Wang, Jin Hao, Yichen Yang, Kun He |
| 2020 | AAAI | A Learning Based Branch and Bound for Maximum Common Subgraph Related Problems. | Yanli Liu, Chu-Min Li, Hua Jiang, Kun He |
| 2020 | ASPDAC | Exploring Graphical Models with Bayesian Learning and MCMC for Failure Diagnosis. | Hongfei Wang, Wenjie Cai, Jianwen Li, Kun He |
| 2020 | CVPR | Single Image Reflection Removal Through Cascaded Refinement. | Chao Li, Yixiao Yang, Kun He, Stephen Lin, John E. Hopcroft |
| 2020 | ICLR | Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks. | Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft |
| 2020 | ICLR | Robust Local Features for Improving the Generalization of Adversarial Training. | Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang, John E. Hopcroft |
| 2020 | TAMC | Hidden Community Detection on Two-Layer Stochastic Models: A Theoretical Perspective. | Jialu Bao, Kun He, Xiaodong Xin, Bart Selman, John E. Hopcroft |
| 2019 | AAAI | Multilevel Language and Vision Integration for Text-to-Clip Retrieval. | Huijuan Xu, Kun He, Bryan A. Plummer, Leonid Sigal, Stan Sclaroff, Kate Saenko |
| 2019 | ACL | Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency. | Shuhuai Ren, Yihe Deng, Kun He, Wanxiang Che |
| 2019 | CVPR | Deep Metric Learning to Rank. | Fatih akir, Kun He, Xide Xia, Brian Kulis, Stan Sclaroff |
| 2019 | ICDE | Adaptive Wavelet Clustering for Highly Noisy Data. | Zengjian Chen, Jiayi Liu, Yihe Deng, Kun He, John E. Hopcroft |
| 2019 | ICLR | Improving the Generalization of Adversarial Training with Domain Adaptation. | Chuanbiao Song, Kun He, Liwei Wang, John E. Hopcroft |
| 2019 | ICML | Generalized Majorization-Minimization. | Sobhan Naderi Parizi, Kun He, Reza Aghajani, Stan Sclaroff, Pedro F. Felzenszwalb |
| 2019 | IJCNN | Regularization and Iterative Initialization of Softmax for Fast Training of Convolutional Neural Networks. | Qiang Rao, Bing Yu, Kun He, Bailan Feng |
| 2019 | STOC | Quantum Lovsz local lemma: Shearer's bound is tight. | Kun He, Qian Li, Xiaoming Sun, Jiapeng Zhang |
| 2018 | CVPR | Hashing as Tie-Aware Learning to Rank. | Kun He, Fatih akir, Sarah Adel Bargal, Stan Sclaroff |
| 2018 | CVPR | Local Descriptors Optimized for Average Precision. | Kun He, Yan Lu, Stan Sclaroff |
| 2018 | ECCV | Hashing with Binary Matrix Pursuit. | Fatih akir, Kun He, Stan Sclaroff |
| 2018 | INFOCOM | CertChain: Public and Efficient Certificate Audit Based on Blockchain for TLS Connections. | Jing Chen, Shixiong Yao, Quan Yuan, Kun He, Shouling Ji, Ruiying Du |
| 2018 | MMSys | Watermarked video delivery: traffic reduction and CDN management. | Kun He, Patrick Maill, Gwendal Simon |
| 2017 | COCOON | A Tighter Relation Between Sensitivity Complexity and Certificate Complexity. | Kun He, Qian Li, Xiaoming Sun |
| 2017 | FOCS | Variable-Version Lovsz Local Lemma: Beyond Shearer's Bound. | Kun He, Liang Li, Xingwu Liu, Yuyi Wang, Mingji Xia |
| 2017 | ICCV | MIHash: Online Hashing with Mutual Information. | Fatih akir, Kun He, Sarah Adel Bargal, Stan Sclaroff |
| 2017 | ICPADS | Charge-Depleting of the Batteries Makes Smartphones Recognizable. | Jing Chen, Yingying Fang, Kun He, Ruiying Du |
| 2017 | NOSSDAV | Delivery of Live Watermarked Video in CDN: Fast and Scalable Algorithms. | Kun He, Patrick Maill, Gwendal Simon |
| 2016 | FAW | Breaking Cycle Structure to Improve Lower Bound for Max-SAT. | Yanli Liu, Chumin Li, Kun He, Yi Fan |
| 2016 | FAW | Nonlinear Dimension Reduction by Local Multidimensional Scaling. | Yuzhe Ma, Kun He, John E. Hopcroft, Pan Shi |
| 2016 | ICFHR | Document Image Binarization Using Structural Symmetry of Strokes. | Fuxi Jia, Cunzhao Shi, Kun He, Chunheng Wang, Baihua Xiao |
| 2016 | SIN | Experimentation of Privacy Protection for JPEG Contents on Image-Sharing Platforms. | Kun He, Christophe Bidan, Gatan Le Guelvouit |
| 2015 | ICDM | Detecting Overlapping Communities from Local Spectral Subspaces. | Kun He, Yiwei Sun, David Bindel, John E. Hopcroft, Yixuan Li |
| 2015 | ICNC | Online evolution of image filters based on dynamic partial reconfiguration of FPGA. | Rui Yao, Yanmei Sun, Kun He, Yuzhong Yang |
| 2015 | WWW | Uncovering the Small Community Structure in Large Networks: A Local Spectral Approach. | Yixuan Li, Kun He, David Bindel, John E. Hopcroft |
| 2014 | ECCV | Parameterizing Object Detectors in the Continuous Pose Space. | Kun He, Leonid Sigal, Stan Sclaroff |
| 2014 | ICONIP | Fuzzy Signature Neural Networks for Classification: Optimising the Structure. | Tom Gedeon, Xuanying Zhu, Kun He, Leana Copeland |
| 2014 | TrustCom | Proofs of Ownership and Retrievability in Cloud Storage. | Ruiying Du, Lan Deng, Jing Chen, Kun He, Minghui Zheng |
| 2012 | CVPR | Scale resilient, rotation invariant articulated object matching. | Hao Jiang, Tai-Peng Tian, Kun He, Stan Sclaroff |
| 2011 | ACIIDS | Discriminant Orthogonal Rank-One Tensor Projections for Face Recognition. | Chang Liu, Kun He, Jiliu Zhou, Chaobang Gao |
| 2008 | ISKE | A novel approach of emotion recognition based on selective ensemble. | Zhenguo Zhu, Kun He |
| 2005 | ICASSP | Radar high range resolution profiles recognition based on wavelet packet and subband fusion. | Hongwei Liu, Zhe Yang, Kun He, Zheng Bao |