| 2026 | AAAI | Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants. | Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2026 | AAAI | Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond. | Kaifeng Jin, Ignavier Ng, Kun Zhang, Biwei Huang |
| 2026 | AAAI | Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles. | Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li |
| 2026 | ACL | Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification. | Fengxiang Cheng, Chuan Zhou, Xiang Li, Haoxuan Li, Wen-li Wang, Jinkun Chen, Mingming Gong, Kun Zhang |
| 2026 | ACL | FactVerse: A Benchmark for Factual Consistency in Interleaved Image-Text Generation. | Yubo Shan, Kun Zhang, Qiming Xu, Liping Cao, Yingying Cao, Jian Zhang, Yu Wang, Jingyuan Li, Yuanzhuo Wang |
| 2026 | ACL | Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders. | Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang |
| 2026 | ACL | Advancing Reasoning in Diffusion Language Models with Denoising Process Rewards. | Shaoan Xie, Lingjing Kong, Xiangchen Song, Xinshuai Dong, Guangyi Chen, Eric P. Xing, Kun Zhang |
| 2025 | AAAI | Continual Unsupervised Generative Modelling via Online Optimal Transport. | Fei Ye, Adrian G. Bors, Kun Zhang |
| 2025 | AAAI | Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling. | Fei Ye, Adrian G. Bors, Kun Zhang |
| 2025 | ACL | Unmasking Style Sensitivity: A Causal Analysis of Bias Evaluation Instability in Large Language Models. | Jiaxu Zhao, Meng Fang, Kun Zhang, Mykola Pechenizkiy |
| 2025 | ACL | Structured Discourse Representation for Factual Consistency Verification. | Kun Zhang, Oana Balalau, Ioana Manolescu |
| 2025 | ACL | MoRE: A Mixture of Low-Rank Experts for Adaptive Multi-Task Learning. | Dacao Zhang, Kun Zhang, Shimao Chu, Le Wu, Xin Li, Si Wei |
| 2025 | ACL | A General Knowledge Injection Framework for ICD Coding. | Xu Zhang, Kun Zhang, Wenxin Ma, Rongsheng Wang, Chenxu Wu, Yingtai Li, S. Kevin Zhou |
| 2025 | AIED | Learning by Teaching: Enhancing Music Learning Through LLM-Based Teachable Agents. | Lingxi Jin, Baicheng Lin, Mengze Hong, Hyo-Jeong So, Kun Zhang |
| 2025 | AISTATS | Causal Representation Learning from General Environments under Nonparametric Mixing. | Ignavier Ng, Shaoan Xie, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | AISTATS | Type Information-Assisted Self-Supervised Knowledge Graph Denoising. | Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang |
| 2025 | AISTATS | Nonparametric Factor Analysis and Beyond. | Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang |
| 2025 | APWEB | SocialED: A Python Library for Social Event Detection. | Kun Zhang, Xiaoyan Yu, Pu Li, Hao Peng, Philip S. Yu |
| 2025 | CIKM | SUMMA: A Multimodal Large Language Model for Advertisement Summarization. | Weitao Jia, Shuo Yin, Zhoufutu Wen, Han Wang, Zehui Dai, Kun Zhang, Zhenyu Li, Tao Zeng, Xiaohui Lv |
| 2025 | CIKM | Selective Mixup for Debiasing Question Selection in Computerized Adaptive Testing. | Mi Tian, Kun Zhang, Fei Liu, Jinglong Li, Yuxin Liao, Chenxi Bai, Zhengtao Tan, Le Wu, Richang Hong |
| 2025 | CIKM | GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation. | Yu Wang, Yixuan Zhao, Renrui Duan, Jingyuan Li, Yuanzhuo Wang, Kun Zhang |
| 2025 | CogSci | Learning Hidden Causal Factors from Psychometrics Data Using Distributional Information. | Roberto Legaspi, Xinshuai Dong, Donghuo Zeng, Yuewen Sun, Kazushi Ikeda, Peter Spirtes, Kun Zhang |
| 2025 | CVPR | OCRT: Boosting Foundation Models in the Open World with Object-Concept-Relation Triad. | Luyao Tang, Yuxuan Yuan, Chaoqi Chen, Zeyu Zhang, Yue Huang, Kun Zhang |
| 2025 | CVPR | SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. | Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2025 | CVPR | DH-Set: Improving Vision-Language Alignment with Diverse and Hybrid Set-Embeddings Learning. | Kun Zhang, Jingyu Li, Zhe Li, S. Kevin Zhou |
| 2025 | DASFAA | MASS: Mitigating Aspect-Oriented Semantic Sparsity for Fine-Grained Sentiment Analysis. | Yanjiang Chen, Kai Zhang, Zhe Yang, Linan Yue, Xinjie Sun, Kun Zhang, Qi Liu |
| 2025 | EMNLP | TIU-Bench: A Benchmark for Evaluating Large Multimodal Models on Text-rich Image Understanding. | Kun Zhang, Liqiang Niu, Zhen Cao, Fandong Meng, Jie Zhou |
| 2025 | ICASSP | Infant Cry Detection Using Causal Temporal Representation. | Minghao Fu, Danning Li, Aryan Gadhiya, Benjamin Lambright, Mohamed Alowais, Mohab Bahnassy, Saad El Dine Elletter, Hawau Olamide Toyin, Haiyan Jiang, Kun Zhang, Hanan Aldarmaki |
| 2025 | ICCAD | HRAMTran: A Hybrid-RAM Transformer Accelerator With Dynamic Sparsity Floating-Point CIM and Written-Back Transpose Array. | Bojun Zhang, Jinkai Wang, Xianan Zhu, Ziyuan Guo, Zhengkun Gu, Kaili Zhang, Zhizhong Zhang, Kun Zhang, Weisheng Zhao, Yue Zhang |
| 2025 | ICCV | Hierarchy-Aware Pseudo Word Learning with Text Adaptation for Zero-Shot Composed Image Retrieval. | Zhe Li, Lei Zhang, Zheren Fu, Kun Zhang, Zhendong Mao |
| 2025 | ICICS | Full-Phase Distributed Quantum Impossible Differential Cryptanalysis. | Kun Zhang, Tao Shang, Yuanjing Zhang, Jianwei Liu |
| 2025 | ICLR | Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. | Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang |
| 2025 | ICLR | On the Identification of Temporal Causal Representation with Instantaneous Dependence. | Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Guangyi Chen, Kun Zhang |
| 2025 | ICLR | Analytic DAG Constraints for Differentiable DAG Learning. | Zhen Zhang, Ignavier Ng, Dong Gong, Yuhang Liu, Mingming Gong, Biwei Huang, Kun Zhang, Anton van den Hengel, Javen Qinfeng Shi |
| 2025 | ICLR | Noisy Test-Time Adaptation in Vision-Language Models. | Chentao Cao, Zhun Zhong, Zhanke Zhou, Tongliang Liu, Yang Liu, Kun Zhang, Bo Han |
| 2025 | ICLR | When Selection Meets Intervention: Additional Complexities in Causal Discovery. | Haoyue Dai, Ignavier Ng, Jianle Sun, Zeyu Tang, Gongxu Luo, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | ICLR | Identification of Intermittent Temporal Latent Process. | Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang |
| 2025 | ICLR | Prompting Fairness: Integrating Causality to Debias Large Language Models. | Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu |
| 2025 | ICLR | A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. | Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang |
| 2025 | ICLR | Flow: Modularized Agentic Workflow Automation. | Boye Niu, Yiliao Song, Kai Lian, Yifan Shen, Yu Yao, Kun Zhang, Tongliang Liu |
| 2025 | ICLR | Differentiable Causal Discovery for Latent Hierarchical Causal Models. | Parjanya Prajakta Prashant, Ignavier Ng, Kun Zhang, Biwei Huang |
| 2025 | ICLR | Causal Representation Learning from Multimodal Biomedical Observations. | Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang |
| 2025 | ICLR | A Conditional Independence Test in the Presence of Discretization. | Boyang Sun, Yu Yao, Guang-Yuan Hao, Yumou Qiu, Kun Zhang |
| 2025 | ICLR | Causal Graph Transformer for Treatment Effect Estimation Under Unknown Interference. | Anpeng Wu, Haiyi Qiu, Zhengming Chen, Zijian Li, Ruoxuan Xiong, Fei Wu, Kun Zhang |
| 2025 | ICLR | Learning Graph Invariance by Harnessing Spuriosity. | Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen |
| 2025 | ICLR | A Robust Method to Discover Causal or Anticausal Relation. | Yu Yao, Yang Zhou, Bo Han, Mingming Gong, Kun Zhang, Tongliang Liu |
| 2025 | ICLR | Bias Mitigation in Graph Diffusion Models. | Meng Yu, Kun Zhang |
| 2025 | ICML | Nonparametric Identification of Latent Concepts. | Yujia Zheng, Shaoan Xie, Kun Zhang |
| 2025 | ICML | Reflection-Window Decoding: Text Generation with Selective Refinement. | Zeyu Tang, Zhenhao Chen, Xiangchen Song, Loka Li, Yunlong Deng, Yifan Shen, Guangyi Chen, Peter Spirtes, Kun Zhang |
| 2025 | ICML | Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations. | Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang |
| 2025 | ICML | Latent Variable Causal Discovery under Selection Bias. | Haoyue Dai, Yiwen Qiu, Ignavier Ng, Xinshuai Dong, Peter Spirtes, Kun Zhang |
| 2025 | ICML | Permutation-based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data. | Xinshuai Dong, Ignavier Ng, Boyang Sun, Haoyue Dai, Guang-Yuan Hao, Shunxing Fan, Peter Spirtes, Yumou Qiu, Kun Zhang |
| 2025 | ICML | Fairness on Principal Stratum: A New Perspective on Counterfactual Fairness. | Haoxuan Li, Zeyu Tang, Zhichao Jiang, Zhuangyan Fang, Yue Liu, Zhi Geng, Kun Zhang |
| 2025 | ICML | Extracting Rare Dependence Patterns via Adaptive Sample Reweighting. | Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang |
| 2025 | ICML | A General Representation-Based Approach to Multi-Source Domain Adaptation. | Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang |
| 2025 | ICML | A Sample Efficient Conditional Independence Test in the Presence of Discretization. | Boyang Sun, Yu Yao, Xinshuai Dong, Zongfang Liu, Tongliang Liu, Yumou Qiu, Kun Zhang |
| 2025 | ICML | Learning Vision and Language Concepts for Controllable Image Generation. | Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2025 | IJCAI | Empowering LLMs with Logical Reasoning: A Comprehensive Survey. | Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang, Zhouchen Lin |
| 2025 | IJCAI | MVP-CBM: Multi-layer Visual Preference-enhanced Concept Bottleneck Model for Explainable Medical Image Classification. | Chunjiang Wang, Kun Zhang, Yandong Liu, Zhiyang He, Xiaodong Tao, S. Kevin Zhou |
| 2025 | IROS | Transformer-Based Multi-Agent Reinforcement Learning Method With Credit-Oriented Strategy Differentiation. | Kaixuan Huang, Bo Jin, Kun Zhang, Haiyin Piao, Ziqi Wei |
| 2025 | KDD | Exploring Heterogeneity and Uncertainty for Graph-based Cognitive Diagnosis Models in Intelligent Education. | Pengyang Shao, Yonghui Yang, Chen Gao, Lei Chen, Kun Zhang, Chenyi Zhuang, Le Wu, Yong Li, Meng Wang |
| 2025 | KDD | Classifying Treatment Responders: Bounds and Algorithms. | Anpeng Wu, Haoxuan Li, Chunyuan Zheng, Kun Kuang, Kun Zhang |
| 2024 | AAAI | Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. | Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang |
| 2024 | AAAI | ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation. | Yuewen Sun, Erli Wang, Biwei Huang, Chaochao Lu, Lu Feng, Changyin Sun, Kun Zhang |
| 2024 | AAAI | S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. | Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan |
| 2024 | AAAI | Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models. | Kun Zhang, Jiali Zeng, Fandong Meng, Yuanzhuo Wang, Shiqi Sun, Long Bai, Huawei Shen, Jie Zhou |
| 2024 | AAAI | Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching. | Huatian Zhang, Lei Zhang, Kun Zhang, Zhendong Mao |
| 2024 | AISTATS | Local Causal Discovery with Linear non-Gaussian Cyclic Models. | Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang |
| 2024 | COLING | Visual-Linguistic Dependency Encoding for Image-Text Retrieval. | Wenxin Guo, Lei Zhang, Kun Zhang, Yi Liu, Zhendong Mao |
| 2024 | CSCWD | EI-XIDS: An explainable intrusion detection system based on integration framework. | Yang Xu, Chen Li, Kun Zhang, Haojun Xia, Bibo Tu |
| 2024 | CSCWD | CloudFusion: Multi-Source Intrusion Detection in Cloud Environments. | Yang Xu, Kun Zhang, Haojun Xia, Bibo Tu, Chen Li |
| 2024 | ICARCV | A Kalman Filter-Based Submersible Position Prediction Model and a Multi-Target Dynamic Search and Rescue Scheme. | Yujie Tian, Yuxi Luo, Sitong Zhou, Kun Zhang, Yan Wang |
| 2024 | ICDM | Learning Invariant Features on Graphs by Disentangling Spurious Features. | Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang |
| 2024 | ICLR | LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer. | Guangyi Chen, Yuke Li, Xiao Liu, Zijian Li, Eman Al Suradi, Donglai Wei, Kun Zhang |
| 2024 | ICLR | Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View. | Haoyue Dai, Ignavier Ng, Gongxu Luo, Peter Spirtes, Petar Stojanov, Kun Zhang |
| 2024 | ICLR | A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. | Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang |
| 2024 | ICLR | Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability. | Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang |
| 2024 | ICLR | Federated Causal Discovery from Heterogeneous Data. | Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang |
| 2024 | ICLR | Identifiable Latent Polynomial Causal Models through the Lens of Change. | Yuhang Liu, Zhen Zhang, Dong Gong, Mingming Gong, Biwei Huang, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi |
| 2024 | ICLR | Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions. | Xiu-Chuan Li, Kun Zhang, Tongliang Liu |
| 2024 | ICLR | Procedural Fairness Through Decoupling Objectionable Data Generating Components. | Zeyu Tang, Jialu Wang, Yang Liu, Peter Spirtes, Kun Zhang |
| 2024 | ICML | Causal Representation Learning from Multiple Distributions: A General Setting. | Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng |
| 2024 | ICML | CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process. | Guangyi Chen, Yifan Shen, Zhenhao Chen, Xiangchen Song, Yuewen Sun, Weiran Yao, Xiao Liu, Kun Zhang |
| 2024 | ICML | On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data. | Shunxing Fan, Mingming Gong, Kun Zhang |
| 2024 | ICML | Score-Based Causal Discovery of Latent Variable Causal Models. | Ignavier Ng, Xinshuai Dong, Haoyue Dai, Biwei Huang, Peter Spirtes, Kun Zhang |
| 2024 | ICML | Optimal Kernel Choice for Score Function-based Causal Discovery. | Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong |
| 2024 | ICML | Empowering Graph Invariance Learning with Deep Spurious Infomax. | Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang |
| 2024 | ICML | Detecting and Identifying Selection Structure in Sequential Data. | Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schlkopf, Kun Zhang |
| 2024 | IGARSS | Spaceborne GNSS-R Sea Surface Rainfall Intensity Retrieval Considering the Effects of Wind and Wave. | Nianfu Xu, Kegen Yu, Changyang Wang, Kun Zhang, Nanshan Zheng |
| 2024 | IGARSS | Performance Analysis of Resolving Left/Right Ambiguity in Multichannel Forward-Looking SAR Imaging. | Kun Zhang, Rui Chen, Ziwen Wang, Wenchao Li, Jianyu Yang |
| 2024 | IGARSS | Multiple Snapshot Forward-Looking Superresolution Imaging of Coprime Array Radar. | Rui Chen, Wenchao Li, Kun Zhang, Kefeng Li, Ziwen Wang, Jianyu Yang |
| 2024 | IGARSS | An Improved Fusion Scheme for Multichannel Radar Forward-Looking Imaging. | Rui Chen, Wenchao Li, Kun Zhang, Kefeng Li, Ziwen Wang, Jianyu Yang |
| 2024 | IGARSS | Modified Sparse Bayesian Learning-Based Multichannel Radar Forward Looking Imaging. | Kefeng Li, Wenchao Li, Rui Chen, Kun Zhang, Deqing Mao, Jianyu Yang |
| 2024 | ISCAS | Self-aware Cross-component Prediction Model Based on Template for Screen Content Coding. | Kun Zhang, Hongxin Qiu, Zhikai Liu, Fan Liang, Wei Sun |
| 2024 | ISM | A Power-Law Transformation Approach for Template-Based Cross-Component Prediction. | Zhikai Liu, Kun Zhang, Xin-Yi Cui, Wei Sun, Fan Liang |
| 2024 | ISPA | Using KVM Events to Detect VM Memory-Sharing Lateral Movement Attacks in a Virtualized Environment. | Kun Zhang, Junchao Ma, Chen Li |
| 2024 | KDD | Path-Specific Causal Reasoning for Fairness-aware Cognitive Diagnosis. | Dacao Zhang, Kun Zhang, Le Wu, Mi Tian, Richang Hong, Meng Wang |
| 2024 | MMM | A Custom GAN-Based Robust Algorithm for Medical Image Watermarking. | Kun Zhang, Chunling Gao, Shuangyuan Yang |
| 2023 | AAAI | Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). | Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng |
| 2023 | AAAI | Fair Representation Learning for Recommendation: A Mutual Information Perspective. | Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong, Meng Wang |
| 2023 | ACL | Uncertainty Guided Label Denoising for Document-level Distant Relation Extraction. | Qi Sun, Kun Huang, Xiaocui Yang, Pengfei Hong, Kun Zhang, Soujanya Poria |
| 2023 | CIKM | Masked Multi-Domain Network: Multi-Type and Multi-Scenario Conversion Rate Prediction with a Single Model. | Wentao Ouyang, Xiuwu Zhang, Chaofeng Guo, Shukui Ren, Yupei Sui, Kun Zhang, Jinmei Luo, Yunfeng Chen, Dongbo Xu, Xiangzheng Liu, Yanlong Du |
| 2023 | CIKM | Simplex2vec Backward: From Vectors Back to Simplicial Complex. | Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | CVPR | Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction. | Guangyi Chen, Zhenhao Chen, Shunxing Fan, Kun Zhang |
| 2023 | CVPR | Understanding Masked Autoencoders via Hierarchical Latent Variable Models. | Lingjing Kong, Martin Q. Ma, Guangyi Chen, Eric P. Xing, Yuejie Chi, Louis-Philippe Morency, Kun Zhang |
| 2023 | CVPR | Unpaired Image-to-Image Translation with Shortest Path Regularization. | Shaoan Xie, Yanwu Xu, Mingming Gong, Kun Zhang |
| 2023 | CVPR | SmartBrush: Text and Shape Guided Object Inpainting with Diffusion Model. | Shaoan Xie, Zhifei Zhang, Zhe Lin, Tobias Hinz, Kun Zhang |
| 2023 | DSAA | Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. | Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | EMNLP | FactSpotter: Evaluating the Factual Faithfulness of Graph-to-Text Generation. | Kun Zhang, Oana Balalau, Ioana Manolescu |
| 2023 | EMNLP | ReFSQL: A Retrieval-Augmentation Framework for Text-to-SQL Generation. | Kun Zhang, Xiexiong Lin, Yuanzhuo Wang, Xin Zhang, Fei Sun, Jianhe Cen, Hexiang Tan, Xuhui Jiang, Huawei Shen |
| 2023 | GLOBECOM | FedADP: Communication-Efficient by Model Pruning for Federated Learning. | Haiyang Liu, Yuliang Shi, Zhiyuan Su, Kun Zhang, Xinjun Wang, Zhongmin Yan, Fanyu Kong |
| 2023 | ICASSP | Keyword-Specific Acoustic Model Pruning for Open-Vocabulary Keyword Spotting. | Yujie Yang, Kun Zhang, Zhiyong Wu, Helen Meng |
| 2023 | ICCV | Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. | Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang |
| 2023 | ICDE | HiNet: Novel Multi-Scenario & Multi-Task Learning with Hierarchical Information Extraction. | Jie Zhou, Xianshuai Cao, Wenhao Li, Lin Bo, Kun Zhang, Chuan Luo, Qian Yu |
| 2023 | ICIP | Transformation Consistency for Remote Sensing Image Super-Resolution. | Kai Deng, Ping Yao, Siyuan Cheng, Junyu Bi, Kun Zhang |
| 2023 | ICLR | PLOT: Prompt Learning with Optimal Transport for Vision-Language Models. | Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang |
| 2023 | ICLR | Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems. | Yewen Fan, Nian Si, Kun Zhang |
| 2023 | ICLR | GAIN: On the Generalization of Instructional Action Understanding. | Junlong Li, Guangyi Chen, Yansong Tang, Jinan Bao, Kun Zhang, Jie Zhou, Jiwen Lu |
| 2023 | ICLR | Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors. | Zeyu Tang, Yatong Chen, Yang Liu, Kun Zhang |
| 2023 | ICLR | Causal Balancing for Domain Generalization. | Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang |
| 2023 | ICLR | Multi-domain image generation and translation with identifiability guarantees. | Shaoan Xie, Lingjing Kong, Mingming Gong, Kun Zhang |
| 2023 | ICLR | Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. | Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang |
| 2023 | ICML | Evolving Semantic Prototype Improves Generative Zero-Shot Learning. | Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang |
| 2023 | ICML | Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. | Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang |
| 2023 | ICML | Model Transferability with Responsive Decision Subjects. | Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu |
| 2023 | ICML | Identifiability of Label Noise Transition Matrix. | Yang Liu, Hao Cheng, Kun Zhang |
| 2023 | ICML | Feature Expansion for Graph Neural Networks. | Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang |
| 2023 | ICML | Which is Better for Learning with Noisy Labels: The Semi-supervised Method or Modeling Label Noise? | Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu |
| 2023 | ICONIP | Membership Inference Attacks Against Medical Databases. | Tianxiang Xu, Chang Liu, Kun Zhang, Jianlin Zhang |
| 2023 | IROS | POMDP-Guided Active Force-Based Search for Robotic Insertion. | Chen Wang, Haoxiang Luo, Kun Zhang, Hua Chen, Jia Pan, Wei Zhang |
| 2023 | ICRA | Vision-based Six-Dimensional Peg-in-Hole for Practical Connector Insertion. | Kun Zhang, Chen Wang, Hua Chen, Jia Pan, Michael Yu Wang, Wei Zhang |
| 2023 | KDD | Improving the Expressiveness of K-hop Message-Passing GNNs by Injecting Contextualized Substructure Information. | Tianjun Yao, Yingxu Wang, Kun Zhang, Shangsong Liang |
| 2023 | KDD | CFGL-LCR: A Counterfactual Graph Learning Framework for Legal Case Retrieval. | Kun Zhang, Chong Chen, Yuanzhuo Wang, Qi Tian, Long Bai |
| 2023 | KSEM | Deep Reinforcement Learning for Group-Aware Robot Navigation in Crowds. | Xianwei Zhou, Xin Ye, Kun Zhang, Songsen Yu |
| 2022 | AAAI | Residual Similarity Based Conditional Independence Test and Its Application in Causal Discovery. | Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2022 | AAAI | Identification of Linear Latent Variable Model with Arbitrary Distribution. | Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai |
| 2022 | AAAI | Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching. | Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang |
| 2022 | AAAI | Invariant Action Effect Model for Reinforcement Learning. | Zheng-Mao Zhu, Shengyi Jiang, Yu-Ren Liu, Yang Yu, Kun Zhang |
| 2022 | ACL | Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. | Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen |
| 2022 | AISTATS | Towards Federated Bayesian Network Structure Learning with Continuous Optimization. | Ignavier Ng, Kun Zhang |
| 2022 | AISTATS | On the Convergence of Continuous Constrained Optimization for Structure Learning. | Ignavier Ng, Sbastien Lachapelle, Nan Rosemary Ke, Simon Lacoste-Julien, Kun Zhang |
| 2022 | CGI | WEmap: Weakness-Enhancement Mapping for 3D Reconstruction with Sparse Image Sequences. | Kun Zhang, Chunying Song, Jingzhao Wang, Kai Wang, Nan Yun |
| 2022 | COLING | Meta-CQG: A Meta-Learning Framework for Complex Question Generation over Knowledge Bases. | Kun Zhang, Yunqi Qiu, Yuanzhuo Wang, Long Bai, Wei Li, Xuhui Jiang, Huawei Shen, Xueqi Cheng |
| 2022 | CSCWD | Evaluation and Optimization on Virtualization Performance Cost under Semantic Gap. | Qi Wang, Haojun Xia, Kun Zhang, Bibo Tu |
| 2022 | CVPR | Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. | Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich |
| 2022 | CVPR | Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. | Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao |
| 2022 | CVPR | Negative-Aware Attention Framework for Image-Text Matching. | Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang |
| 2022 | EMNLP | CausalNLP Tutorial: An Introduction to Causality for Natural Language Processing. | Zhijing Jin, Amir Feder, Kun Zhang |
| 2022 | ICDM | Projection Dual Averaging Based Second-order Online Learning. | Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang |
| 2022 | ICLR | AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning. | Biwei Huang, Fan Feng, Chaochao Lu, Sara Magliacane, Kun Zhang |
| 2022 | ICLR | Conditional Contrastive Learning with Kernel. | Yao-Hung Hubert Tsai, Tianqin Li, Martin Q. Ma, Han Zhao, Kun Zhang, Louis-Philippe Morency, Ruslan Salakhutdinov |
| 2022 | ICLR | Optimal Transport for Causal Discovery. | Ruibo Tu, Kun Zhang, Hedvig Kjellstrm, Cheng Zhang |
| 2022 | ICLR | Learning Temporally Causal Latent Processes from General Temporal Data. | Weiran Yao, Yuewen Sun, Alex Ho, Changyin Sun, Kun Zhang |
| 2022 | ICLR | Adversarial Robustness Through the Lens of Causality. | Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | GLaM: Efficient Scaling of Language Models with Mixture-of-Experts. | Nan Du, Yanping Huang, Andrew M. Dai, Simon Tong, Dmitry Lepikhin, Yuanzhong Xu, Maxim Krikun, Yanqi Zhou, Adams Wei Yu, Orhan Firat, Barret Zoph, Liam Fedus, Maarten P. Bosma, Zongwei Zhou, Tao Wang, Yu Emma Wang, Kellie Webster, Marie Pellat, Kevin Robinson, Kathleen S. Meier-Hellstern, Toju Duke, Lucas Dixon, Kun Zhang, Quoc V. Le, Yonghui Wu, Zhifeng Chen, Claire Cui |
| 2022 | ICML | Action-Sufficient State Representation Learning for Control with Structural Constraints. | Biwei Huang, Chaochao Lu, Liu Leqi, Jos Miguel Hernndez-Lobato, Clark Glymour, Bernhard Schlkopf, Kun Zhang |
| 2022 | ICML | Partial disentanglement for domain adaptation. | Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang |
| 2022 | ICML | Identification of Linear Non-Gaussian Latent Hierarchical Structure. | Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang |
| 2022 | IGARSS | Test Of An Intermediate Frequency Module For Hyperspectral Microwave Radiometers. | Xun Gong, Ling Tong, Bo Gao, Peicheng Wang, Xinyi Gao, Kun Zhang, Junxiang Feng |
| 2021 | AAAI | Improving Causal Discovery By Optimal Bayesian Network Learning. | Ni Y. Lu, Kun Zhang, Changhe Yuan |
| 2021 | AAAI | Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou |
| 2021 | AAAI | DeepTrader: A Deep Reinforcement Learning Approach for Risk-Return Balanced Portfolio Management with Market Conditions Embedding. | Zhicheng Wang, Biwei Huang, Shikui Tu, Kun Zhang, Lei Xu |
| 2021 | AAAI | Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. | Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan |
| 2021 | AAAI | Testing Independence Between Linear Combinations for Causal Discovery. | Hao Zhang, Kun Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang |
| 2021 | ACML | K | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | CIKM | Multi-objective Privacy-preserving Text Representation Learning. | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | FedCSIS | Design and application of facial expression analysis system in empathy ability of children with autism spectrum disorder. | Chen Guo, Kun Zhang, Jingying Chen, Ruyi Xu, Lei Gao |
| 2021 | GLOBECOM | HyperKRP: A Kernel Runtime Security Architecture with A Tiny Hypervisor on Commodity Hardware. | Kunli Lin, Wenqing Liu, Kun Zhang, Haojun Xia, Bibo Tu |
| 2021 | ICASSP | Skip Attention GAN for Remote Sensing Image Synthesis. | Kai Deng, Kun Zhang, Ping Yao, Siyuan Cheng, Peng He |
| 2021 | ICCV | DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. | Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen |
| 2021 | ICCV | Unaligned Image-to-Image Translation by Learning to Reweight. | Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang |
| 2021 | IGARSS | Design and Experiment of a Hollow Structure Microwave Humidity Sensor. | Kun Zhang, Bo Gao, Jiangwu Wen, Xun Gong, Peicheng Wang, Ling Tong |
| 2021 | IJCAI | Progressive Open-Domain Response Generation with Multiple Controllable Attributes. | Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang |
| 2021 | IPEC | Individual and Institutional Investor: Who is More Rational. | Kun Zhang, Deyan Long |
| 2021 | ICRA | State Estimation for Hybrid Wheeled-Legged Robots Performing Mobile Manipulation Tasks. | Yangwei You, Samuel Cheong, Tai Pang Chen, Yuda Chen, Kun Zhang, Cihan Acar, Fon Lin Lai, Albertus Hendrawan Adiwahono, Keng Peng Tee |
| 2021 | IGARSS | Multi-Label Hyperspectral Classification with Discriminative Features. | Shuai Fang, Kun Zhang, YiBin Wang, Jing Zhang, Yang Cao, Weikai Shi |
| 2021 | IGARSS | Design of Intermediate Frequency Module of Microwave Radiometer Based on Polyphase Filter Bank. | Shijian Fu, Ling Tong, Xun Gong, Xinyi Gao, Peicheng Wang, Bo Gao, Yukai Liu, Kun Zhang, Hao Li, Weilai Zhou, Yinan Li, Jiakun Wang |
| 2021 | ISPA | AddrArmor: An Address-based Runtime Code-reuse Attack Mitigation for Shared Objects at the Binary-level. | Kunli Lin, Haojun Xia, Kun Zhang, Bibo Tu |
| 2020 | AAAI | Compressed Self-Attention for Deep Metric Learning. | Ziye Chen, Mingming Gong, Yanwu Xu, Chaohui Wang, Kun Zhang, Bo Du |
| 2020 | AAAI | Revisiting Graph Based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach. | Lei Chen, Le Wu, Richang Hong, Kun Zhang, Meng Wang |
| 2020 | AAAI | Causal Discovery from Multiple Data Sets with Non-Identical Variable Sets. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2020 | AAAI | Generative-Discriminative Complementary Learning. | Yanwu Xu, Mingming Gong, Junxiang Chen, Tongliang Liu, Kun Zhang, Kayhan Batmanghelich |
| 2020 | AAAI | Gated Convolutional Networks with Hybrid Connectivity for Image Classification. | Chuanguang Yang, Zhulin An, Hui Zhu, Xiaolong Hu, Kun Zhang, Kaiqiang Xu, Chao Li, Yongjun Xu |
| 2020 | AAAI | PIDS: An Intelligent Electric Power Management Platform. | Yongqing Zheng, Han Yu, Yuliang Shi, Kun Zhang, Shuai Zhen, Lizhen Cui, Cyril Leung, Chunyan Miao |
| 2020 | CIKM | Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph. | Yunqi Qiu, Kun Zhang, Yuanzhuo Wang, Xiaolong Jin, Long Bai, Saiping Guan, Xueqi Cheng |
| 2020 | ECCV | Adaptive Task Sampling for Meta-learning. | Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi |
| 2020 | ICIP | Learning Enhanced Resolution-Wise Features For Human Pose Estimation. | Kun Zhang, Peng He, Ping Yao, Ge Chen, Rui Wu, Min Du, Huimin Li, Li Fu, Tianyao Zheng |
| 2020 | ICML | Characterizing Distribution Equivalence and Structure Learning for Cyclic and Acyclic Directed Graphs. | AmirEmad Ghassami, Alan Yang, Negar Kiyavash, Kun Zhang |
| 2020 | ICML | LTF: A Label Transformation Framework for Correcting Label Shift. | Jiaxian Guo, Mingming Gong, Tongliang Liu, Kun Zhang, Dacheng Tao |
| 2020 | ICML | Label-Noise Robust Domain Adaptation. | Xiyu Yu, Tongliang Liu, Mingming Gong, Kun Zhang, Kayhan Batmanghelich, Dacheng Tao |
| 2020 | Interspeech | Re-Weighted Interval Loss for Handling Data Imbalance Problem of End-to-End Keyword Spotting. | Kun Zhang, Zhiyong Wu, Daode Yuan, Jian Luan, Jia Jia, Helen Meng, Binheng Song |
| 2020 | ICWS | A Co-Attention Model with Sequential Behaviors and Side Information for Session- based Recommendation. | Lin Li, Yuliang Shi, Kun Zhang, Yongjian Ren |
| 2020 | IGARSS | Progress Toward Evaluating Prelaunch Thermal Vacuum Tests of the JPSS-2 CRIS Instrument. | Peter J. Beierle, Flavio Iturbide-Sanchez, Yong Chen, Denis Tremblay, Kun Zhang, Erin Lynch, David Johnson, Lawrence Suwinski |
| 2020 | ISCAS | Efficient Time-Domain In-Memory Computing Based on TST-MRAM. | Jinkai Wang, Yue Zhang, Chenyu Lian, Yining Bai, Zhe Huang, Guanda Wang, Kun Zhang, Youguang Zhang, Weisheng Zhao |
| 2020 | KDD | Preface: The 2020 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Lin Liu, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2020 | KDD | Deep State-Space Generative Model For Correlated Time-to-Event Predictions. | Yuan Xue, Denny Zhou, Nan Du, Andrew M. Dai, Zhen Xu, Kun Zhang, Claire Cui |
| 2019 | AAAI | Counting and Sampling from Markov Equivalent DAGs Using Clique Trees. | AmirEmad Ghassami, Saber Salehkaleybar, Negar Kiyavash, Kun Zhang |
| 2019 | AAAI | DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. | Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie |
| 2019 | ACL | Neural News Recommendation with Long- and Short-term User Representations. | Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, Xing Xie |
| 2019 | AISTATS | Low-Dimensional Density Ratio Estimation for Covariate Shift Correction. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | AISTATS | Data-Driven Approach to Multiple-Source Domain Adaptation. | Petar Stojanov, Mingming Gong, Jaime G. Carbonell, Kun Zhang |
| 2019 | AISTATS | Causal Discovery in the Presence of Missing Data. | Ruibo Tu, Cheng Zhang, Paul Ackermann, Karthika Mohan, Hedvig Kjellstrm, Kun Zhang |
| 2019 | APWEB | Medical Treatment Migration Prediction in Healthcare via Attention-Based Bidirectional GRU. | Lin Cheng, Yongjian Ren, Kun Zhang, Yuliang Shi |
| 2019 | APWEB | WRL: A Combined Model for Short-Term Load Forecasting. | Yuecan Liu, Kun Zhang, Shuai Zhen, Yongming Guan, Yuliang Shi |
| 2019 | APWEB | A Survival Certification Model Based on Active Learning over Medical Insurance Data. | Yongjian Ren, Kun Zhang, Yuliang Shi |
| 2019 | CIKM | PRNet: Outdoor Position Recovery for Heterogenous Telco Data by Deep Neural Network. | Yige Zhang, Weixiong Rao, Kun Zhang, Mingxuan Yuan, Jia Zeng |
| 2019 | CVPR | Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. | Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao |
| 2019 | DASFAA | Hospitalization Behavior Prediction Based on Attention and Time Adjustment Factors in Bidirectional LSTM. | Lin Cheng, Yongjian Ren, Kun Zhang, Li Pan, Yuliang Shi |
| 2019 | DASFAA | Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. | Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang |
| 2019 | HCI | Research on the Information Layout of HMDs Based on Flight Missions and Visual Cognition. | Jiang Shao, Jun Yao, Kun Zhang, Ketong Yan |
| 2019 | HPCC | HyperPS: A Hypervisor Monitoring Approach Based on Privilege Separation. | Wenqing Liu, Kun Zhang, Bibo Tu, Kunli Lin |
| 2019 | ICDM | Deep Technology Tracing for High-Tech Companies. | Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma |
| 2019 | ICML | On Learning Invariant Representations for Domain Adaptation. | Han Zhao, Remi Tachet des Combes, Kun Zhang, Geoffrey J. Gordon |
| 2019 | ICML | Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models. | Biwei Huang, Kun Zhang, Mingming Gong, Clark Glymour |
| 2019 | IJCAI | Learning Disentangled Semantic Representation for Domain Adaptation. | Ruichu Cai, Zijian Li, Pengfei Wei, Jie Qiao, Kun Zhang, Zhifeng Hao |
| 2019 | IJCAI | Causal Discovery with Cascade Nonlinear Additive Noise Model. | Ruichu Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang, Zhifeng Hao |
| 2019 | IJCAI | Intelligent Decision Support for Improving Power Management. | Yongqing Zheng, Han Yu, Kun Zhang, Yuliang Shi, Cyril Leung, Chunyan Miao |
| 2019 | IROS | Sparse-3D Lidar Outdoor Map-Based Autonomous Vehicle Localization. | Syed Zeeshan Ahmed, Vincensius Billy Saputra, Saurab Verma, Kun Zhang, Albertus Hendrawan Adiwahono |
| 2019 | KDD | Preface: The 2019 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Jiuyong Li, Kun Zhang, Emre Kiciman, Peng Cui, Aapo Hyvrinen |
| 2019 | PAKDD | Context-Aware Dual-Attention Network for Natural Language Inference. | Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen |
| 2018 | AAAI | Learning Vector Autoregressive Models With Latent Processes. | Saber Salehkaleybar, Jalal Etesami, Negar Kiyavash, Kun Zhang |
| 2018 | AAAI | Collaborative Filtering With Social Exposure: A Modular Approach to Social Recommendation. | Menghan Wang, Xiaolin Zheng, Yang Yang, Kun Zhang |
| 2018 | BMVC | Deep Learning intra-image and inter-images features for Co-saliency detection. | Min Li, Shizhong Dong, Kun Zhang, Zhifan Gao, Xi Wu, Heye Zhang, Guang Yang, Shuo Li |
| 2018 | BMVC | A Novel Method For Unsupervised Scanner-Invariance Using A Dual-Channel Auto-Encoder Model. | Andrew D. Moyes, Kun Zhang, Liping Wang, Ming Ji, Danny Crookes, Huiyu Zhou |
| 2018 | ECCV | Deep Domain Generalization via Conditional Invariant Adversarial Networks. | Ya Li, Xinmei Tian, Mingming Gong, Yajing Liu, Tongliang Liu, Kun Zhang, Dacheng Tao |
| 2018 | ICA3PP | Adaptive Data Sampling Mechanism for Process Object. | Yongzheng Lin, Hong Liu, Zhenxiang Chen, Kun Zhang, Kun Ma |
| 2018 | ICARCV | Optimized Vehicle Localization Based on Surveyed-Maps in Urban Environment. | Syed Zeeshan Ahmed, Kun Zhang, Vincensius Billy Saputra, C. H. Pang, Y. Chen |
| 2018 | ICARCV | Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth. | Xiaowei Fu, Jing Pan, Xiaoguang Gao, Bin Li, Jun Chen, Kun Zhang |
| 2018 | ICDM | Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. | Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu |
| 2018 | ICICS | PCA: Page Correlation Aggregation for Memory Deduplication in Virtualized Environments. | Min Zhu, Kun Zhang, Bibo Tu |
| 2018 | IGARSS | Development of 3-D Analytic Radiative Transfer Model Based on the Umrt Model and Horizontal Perturbation Series. | Kun Zhang, Albin J. Gasiewski |
| 2018 | IGARSS | End to End Simulation Study of Geostaionary Passive Microwave Atmospheric Sounding. | Ke Chen, Albin J. Gasiewski, Kun Zhang, Liang Lang, Liangqi Gui, Qingxia Li, Ye He |
| 2018 | KDD | Generalized Score Functions for Causal Discovery. | Biwei Huang, Kun Zhang, Yizhu Lin, Bernhard Schlkopf, Clark Glymour |
| 2018 | KDD | Preface: The 2018 ACM SIGKDD Workshop on Causal Discovery. | Thuc Duy Le, Kun Zhang, Emre Kiciman, Aapo Hyvrinen, Lin Liu |
| 2018 | KDD | XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. | Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen |
| 2018 | MICCAI | Multi-scale Masked 3-D U-Net for Brain Tumor Segmentation. | Yanwu Xu, Mingming Gong, Huan Fu, Dacheng Tao, Kun Zhang, Kayhan Batmanghelich |
| 2017 | AAAI | A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. | Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv |
| 2017 | AAAI | Causal Discovery Using Regression-Based Conditional Independence Tests. | Hao Zhang, Shuigeng Zhou, Kun Zhang, Jihong Guan |
| 2017 | FedCSIS | Design and Implementation of Fire Safety Education System on Campus based on Virtual Reality Technology. | Kun Zhang, Jintao Suo, Jingying Chen, Xiaodi Liu, Lei Gao |
| 2017 | ICDM | Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows. | Biwei Huang, Kun Zhang, Jiji Zhang, Ruben Sanchez-Romero, Clark Glymour, Bernhard Schlkopf |
| 2017 | IGARSS | Symmetry analysis of DDSCAT-based phase matrix for 3-D microwave RT model development. | Kun Zhang, Albin J. Gasiewski |
| 2017 | IJCAI | Causal Discovery from Nonstationary/Heterogeneous Data: Skeleton Estimation and Orientation Determination. | Kun Zhang, Biwei Huang, Jiji Zhang, Clark Glymour, Bernhard Schlkopf |
| 2017 | ICPRAM | An Action Unit based Hierarchical Random Forest Model to Facial Expression Recognition. | Jingying Chen, Mulan Zhang, Xianglong Xue, Ruyi Xu, Kun Zhang |
| 2017 | IECON | A research on the large-power rectifier real-time loss testing. | Zhihao Ning, Can Wang, Yuyao Luo, Xiao Luo, Keren Zhang, Kun Zhang |
| 2017 | IGARSS | Simulation analysis of geostionary passive microwave observation for tropical cyclone. | Ke Chen, Albin J. Gasiewski, Kun Zhang, Gongwei Li, Wei Guo, Liang Lang, Anjie Cao |
| 2016 | BMVC | Multi-scale Colorectal Tumour Segmentation Using a Novel Coarse to Fine Strategy. | Kun Zhang, Danny Crookes, Jim Diamond, Minrui Fei, Jianguo Wu, Peijian Zhang, Huiyu Zhou |
| 2016 | CEC | On the use of immune clone optimization for unconstrained multi-objective resource allocation in the cognitive OFDMA networks. | Ronghua Shang, Weitong Zhang, Ailing Wen, Kun Zhang, Licheng Jiao |
| 2016 | ICA3PP | Deciding the Deadlock and Livelock in a Petri Net with a Target Marking Based on Its Basic Unfolding. | Guanjun Liu, Kun Zhang, Changjun Jiang |
| 2016 | ICML | Domain Adaptation with Conditional Transferable Components. | Mingming Gong, Kun Zhang, Tongliang Liu, Dacheng Tao, Clark Glymour, Bernhard Schlkopf |
| 2016 | IGARSS | Microwave CubeSat fleet simulation for hydrometric tracking in severe weather. | Kun Zhang, Albin J. Gasiewski |
| 2016 | ICPRAM | Multi-person Visual Focus of Attention from Head Pose on a Natural Classroom. | Yuanyuan Liu, Leyuan Liu, Jingying Chen, Chunyan Su, Kun Zhang |
| 2016 | IGARSS | Perormance evaluation of radiative transfer models of satellite atmospheric microwave sounding for data assimilation. | Gongwei Li, Ke Chen, Albin J. Gasiewski, Kun Zhang, Qingxia Li, Li Zhang, Ye He, Anjie Cao |
| 2015 | AAAI | Multi-Source Domain Adaptation: A Causal View. | Kun Zhang, Mingming Gong, Bernhard Schlkopf |
| 2015 | CAIP | Plane-Fitting Robust Registration for Complex 3D Models. | Yuan Cheng, Shudong Xie, Wee Kheng Leow, Kun Zhang |
| 2015 | CAIP | Performance Analysis of Active Shape Reconstruction of Fractured, Incomplete Skulls. | Kun Zhang, Wee Kheng Leow, Yuan Cheng |
| 2015 | ICML | Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components. | Philipp Geiger, Kun Zhang, Bernhard Schlkopf, Mingming Gong, Dominik Janzing |
| 2015 | ICML | Discovering Temporal Causal Relations from Subsampled Data. | Mingming Gong, Kun Zhang, Bernhard Schlkopf, Dacheng Tao, Philipp Geiger |
| 2015 | IJCAI | Identification of Time-Dependent Causal Model: A Gaussian Process Treatment. | Biwei Huang, Kun Zhang, Bernhard Schlkopf |
| 2015 | IGARSS | Simulation of imaging technology for geostationary passive microwave observation. | Ke Chen, Albin J. Gasiewski, Kun Zhang, Wei Guo, Qingxia Li |
| 2014 | AAAI | Cross-Lingual Knowledge Validation Based Taxonomy Derivation from Heterogeneous Online Wikis. | Zhigang Wang, Juanzi Li, Shuangjie Li, Mingyang Li, Jie Tang, Kuo Zhang, Kun Zhang |
| 2014 | CEC | A novel algorithm for many-objective dimension reductions: Pareto-PCA-NSGA-II. | Ronghua Shang, Kun Zhang, Licheng Jiao, Wei Fang, Xiangrong Zhang, Xiaolin Tian |
| 2014 | ICDM | RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection. | Ke Wu, Kun Zhang, Wei Fan, Andrea Edwards, Philip S. Yu |
| 2014 | ICMLC | Comparative study of adaptive filter channel estimation technique in MIMO-OFDM system based on STBC. | Mei Li, Xiang Wang, Kun Zhang |
| 2013 | CAIP | Dense Correspondence of Skull Models by Automatic Detection of Anatomical Landmarks. | Kun Zhang, Yuan Cheng, Wee Kheng Leow |
| 2013 | GPC | Policy-Based Customized Privacy Preserving Mechanism for SaaS Applications. | Yuliang Shi, Zhen Jiang, Kun Zhang |
| 2013 | ICDM | Nonlinear Causal Discovery for High Dimensional Data: A Kernelized Trace Method. | Zhitang Chen, Kun Zhang, Laiwan Chan |
| 2013 | ICDM | On Estimation of Functional Causal Models: Post-Nonlinear Causal Model as an Example. | Kun Zhang, Zhikun Wang, Bernhard Schlkopf |
| 2013 | ICML | Domain Adaptation under Target and Conditional Shift. | Kun Zhang, Bernhard Schlkopf, Krikamol Muandet, Zhikun Wang |
| 2012 | ICML | On causal and anticausal learning. | Bernhard Schlkopf, Dominik Janzing, Jonas Peters, Eleni Sgouritsa, Kun Zhang, Joris M. Mooij |
| 2012 | ISNN | MRKDSBC: A Distributed Background Modeling Algorithm Based on MapReduce. | Cong Wang, Cuirong Wang, Kun Zhang |
| 2012 | ISNN | A Multi-object Segmentation Algorithm Based on Background Modeling and Region Growing. | Kun Zhang, Cuirong Wang, Baoyan Wang |
| 2011 | GLOBECOM | The Transmission Strategy for Energy Harvesting Wireless Transmitters. | Kun Zhang, Husheng Li |
| 2011 | IM | Enhancing cooperation with multiple stage auctions in opportunistic routing for wireless mesh networks. | Kun Zhang, Rui Wang, Depei Qian, Zhongzhi Luan |
| 2011 | ICWS | A New QoS Prediction Approach Based on User Clustering and Regression Algorithms. | Yuliang Shi, Kun Zhang, Bing Liu, Li-zhen Cui |
| 2010 | ICNC | Practical travel time prediction algorithms based on neural network and data fusion for urban expressway. | Dewang Chen, Kun Zhang, Tao Liao |
| 2010 | KDD | Multi-label learning by exploiting label dependency. | Min-Ling Zhang, Kun Zhang |
| 2009 | ICPADS | A Parallel SystemC Environment: ArchSC. | Zi-Yu Hao, Lei Qian, Hong-Liang Li, Xianghui Xie, Kun Zhang |
| 2009 | IDA | ICA with Sparse Connections: Revisited. | Kun Zhang, Heng Peng, Laiwan Chan, Aapo Hyvrinen |
| 2009 | KDD | Cross domain distribution adaptation via kernel mapping. | Erheng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure |
| 2008 | ICDM | Graph-Based Iterative Hybrid Feature Selection. | ErHeng Zhong, Sihong Xie, Wei Fan, Jiangtao Ren, Jing Peng, Kun Zhang |
| 2008 | KDD | Direct mining of discriminative and essential frequent patterns via model-based search tree. | Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure |
| 2007 | CSCWD | An Improvement of Matrix-based Clustering Method for Grouping Learners in E-Learning. | Kun Zhang, Li-zhen Cui, Haiyang Wang, Qi Sui |
| 2007 | EuroPar | Accelerate Data Sharing in a Wide-Area Networked File Storage System. | Kun Zhang, Hongliang Yu, Jing Zhao, Weimin Zheng |
| 2007 | ICML | Nonlinear independent component analysis with minimal nonlinear distortion. | Kun Zhang, Laiwan Chan |
| 2007 | ICPP | Achieving Reliability through Replication in a Wide-Area Network DHT Storage System. | Jing Zhao, Hongliang Yu, Kun Zhang, Weimin Zheng, Jie Wu, Jinfeng Hu |
| 2007 | IDEAL | Independent Factor Reinforcement Learning for Portfolio Management. | Jian Li, Kun Zhang, Laiwan Chan |
| 2007 | ISNN | A Fast New Small Target Detection Algorithm Based on Regularizing Partial Differential Equation in IR Clutter. | Biyin Zhang, Tianxu Zhang, Kun Zhang |
| 2006 | ETFA | Advance in Multiply Sectioned Bayesian Networks: Sensor Network Practitioners' Perspective. | Yang Xiang, Kun Zhang |
| 2006 | ICDM | Discovering Unrevealed Properties of Probability Estimation Trees: On Algorithm Selection and Performance Explanation. | Kun Zhang, Wei Fan, Bill P. Buckles, Xiaojing Yuan, Zujia Xu |
| 2006 | ICDM | Forecasting Skewed Biased Stochastic Ozone Days: Analyses and Solutions. | Kun Zhang, Wei Fan, Xiaojing Yuan, Ian Davidson, Xiangshang Li |
| 2006 | ICONIP | Extensions of ICA for Causality Discovery in the Hong Kong Stock Market. | Kun Zhang, Lai-Wan Chan |
| 2006 | IDEAL | ICA with Sparse Connections. | Kun Zhang, Lai-Wan Chan |
| 2006 | MICRO | Memory Protection through Dynamic Access Control. | Kun Zhang, Tao Zhang, Santosh Pande |
| 2005 | AINA | An Efficient Algorithm Based on Simulated Annealing for Multicast Routing with Delay and Delay Variation Constraints. | Kun Zhang, Heng Wang, Feng-Yu Liu |
| 2005 | ESANN | To apply score function difference based ICA algorithms to high-dimensional data. | Kun Zhang, Lai-Wan Chan |
| 2005 | ICDM | Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees. | Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles |
| 2005 | IRI | Boosting in classifier fusion vs. fusing boosted classifiers. | Costin Barbu, Kun Zhang, Jing Peng, Bill P. Buckles |
| 2004 | EMSOFT | Binary translation to improve energy efficiency through post-pass register re-allocation. | Kun Zhang, Tao Zhang, Santosh Pande |
| 2004 | IJCNN | Practical method for blind inversion of Wiener systems. | Kun Zhang, Lai-Wan Chan |
| 2003 | ICANN | Dimension Reduction Based on Orthogonality - A Decorrelation Method in ICA. | Kun Zhang, Lai-Wan Chan |