| 2026 | AAAI | Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models. | Chenghao Xu, Jiexi Yan, Muli Yang, Fen Fang, Huilin Chen, Cheng Deng |
| 2026 | AAAI | Backtrace Mamba: Reviving Critical Temporal Contexts via Hierarchical Memory Compression for Online Action Detection. | Su Yan, Jiahua Li, Kun Wei, Cheng Deng |
| 2026 | ACL | Logical Structure as Knowledge: Enhancing LLM Reasoning via Structured Logical Knowledge Density Estimation. | Zhen Bi, Zhenlin Hu, Xueshu Chen, Mingyang Chen, Cheng Deng, Yida Xue, Zhen Wang, Qing Shen, Ningyu Zhang, Jungang Lou |
| 2026 | ACL | VisPCO: Visual Token Pruning Configuration Optimization via Budget-Aware Pareto-Frontier Learning for Vision-Language Models. | Huawei Ji, Yuanhao Sun, Yuan Jin, Cheng Deng, Jiaxin Ding, Luoyi Fu, Xinbing Wang |
| 2026 | ACL | Semantically Comprehensive Token Pruning in LVLMs via Maximizing Concept Coverage. | Xueting Li, Qi Liu, Chenghao Xu, Xu Yang, Guangtao Lyu, Jiahua Li, Cheng Deng |
| 2026 | ACL | Revealing and Enhancing Core Visual Regions: Harnessing Internal Attention Dynamics for Hallucination Mitigation in LVLMs. | Guangtao Lyu, Qi Liu, Chenghao Xu, Jiexi Yan, Muli Yang, Xueting Li, Fen Fang, Cheng Deng |
| 2026 | ACL | Dual Activation-Weight Sparsity: A Training-Free Framework for Efficient Large Language Model Compression. | Luoyang Sun, Guangyan Li, Cheng Deng, Haifeng Zhang, Jian Zhao, Yongqiang Tang, Wensheng Zhang, Jun Wang |
| 2026 | ACL | GR1: Reinforcement-Enhanced LLM for Geoscience Reasoning. | Yule Xie, Jiaxin Ding, Cheng Deng, Shiqing Gao, Junran Zhang, Sibo Zhang, Zeyuan Wang, Ke Wu, Xin Ding, Luoyi Fu, Meng Jin, Xinbing Wang |
| 2026 | ACL | Fisher-Driven Adaptive Locating for Knowledge Editing in Large Language Models. | Chenghao Xu, Jiexi Yan, Guangtao Lyu, Qi Liu, Muli Yang, Cheng Deng |
| 2026 | ACL | Rotation Control Unlearning: Quantifying and Controlling Continuous Unlearning for LLM with The Cognitive Rotation Space. | Xiang Zhang, Kun Wei, Xu Yang, Jiahua Li, Su Yan, Cheng Deng |
| 2026 | WWW | Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. | Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin |
| 2026 | WWW | E | Han Zhao, Xu Yang, Cheng Deng, Fan Liu |
| 2025 | AAAI | Energy vs. Noise: Towards Robust Temporal Action Localization in Open-World. | Chenyu Mu, Jiahua Li, Kun Wei, Cheng Deng |
| 2025 | AAAI | Compress to One Point: Neural Collapse for Pre-Trained Model-Based Class-Incremental Learning. | Kun Wei, Zhe Xu, Cheng Deng |
| 2025 | CVPR | Reasoning Mamba: Hypergraph-Guided Region Relation Calculating for Weakly Supervised Affordance Grounding. | Yuxuan Wang, Aming Wu, Muli Yang, Yukuan Min, Yihang Zhu, Cheng Deng |
| 2025 | CVPR | Percept, Memory, and Imagine: World Feature Simulating for Open-Domain Unknown Object Detection. | Aming Wu, Cheng Deng |
| 2025 | ICASSP | AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing. | Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2025 | ICASSP | Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection. | Hao Wang, Cheng Deng, Zhidong Zhao |
| 2025 | ICCV | Vision-Language Interactive Relation Mining for Open-Vocabulary Scene Graph Generation. | Yukuan Min, Muli Yang, Jinhao Zhang, Yuxuan Wang, Aming Wu, Cheng Deng |
| 2025 | ICCV | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels. | Chenyu Mu, Yijun Qu, Jiexi Yan, Erkun Yang, Cheng Deng |
| 2025 | ICCV | VGMamba: Attribute-to-Location Clue Reasoning for Quantity-Agnostic 3D Visual Grounding. | Yihang Zhu, Jinhao Zhang, Yuxuan Wang, Aming Wu, Cheng Deng |
| 2025 | ICDM | High-Quality Label Learning in Generalized Category Discovery. | Yu Duan, Junzhi He, Feiping Nie, Quanxue Gao, Cheng Deng |
| 2025 | ICDM | Orthogonal Semi-Nonnegative Tensor Factorization Based Tensorized Label Learning. | Yuxuan Liu, Quanxue Gao, Jingjing Xue, Jing Li, Cheng Deng |
| 2025 | ICIG | Exploring Implicit Relations for Fine-Grained Generalized Category Discovery. | Jiexi Yan, Xinyi Cheng, Chenghao Xu, Cheng Deng |
| 2025 | ICLR | Towards Unified Human Motion-Language Understanding via Sparse Interpretable Characterization. | Guangtao Lyu, Chenghao Xu, Jiexi Yan, Muli Yang, Cheng Deng |
| 2025 | ICLR | NovelQA: Benchmarking Question Answering on Documents Exceeding 200K Tokens. | Cunxiang Wang, Ruoxi Ning, Boqi Pan, Tonghui Wu, Qipeng Guo, Cheng Deng, Guangsheng Bao, Xiangkun Hu, Zheng Zhang, Qian Wang, Yue Zhang |
| 2025 | ICLR | CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement. | Aming Wu, Cheng Deng |
| 2025 | IJCAI | Tackling Long-Tailed Data Challenges in Spiking Neural Networks via Heterogeneous Knowledge Distillation. | Moqi Li, Xu Yang, Cheng Deng |
| 2025 | IJCAI | Outstanding Orthodontist: No More Artifactual Teeth in Talking Face. | Zibo Su, Ziqi Zhang, Kun Wei, Xu Yang, Cheng Deng |
| 2025 | IJCAI | In-context Learning Demonstration Generation with Text Distillation. | Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng |
| 2025 | SIGIR | Meta-Guided Adaptive Weight Learner for Noisy Correspondence. | Chenyu Mu, Erkun Yang, Cheng Deng |
| 2025 | WACV | Dynamic Adapter Tuning for Long-Tailed Class-Incremental Learning. | Yanan Gu, Muli Yang, Xu Yang, Kun Wei, Hongyuan Zhu, Gabriel James Goenawan, Cheng Deng |
| 2024 | AAAI | Asymmetric Mutual Alignment for Unsupervised Zero-Shot Sketch-Based Image Retrieval. | Zhihui Yin, Jiexi Yan, Chenghao Xu, Cheng Deng |
| 2024 | AAAI | Dynamic Reactive Spiking Graph Neural Network. | Han Zhao, Xu Yang, Cheng Deng, Junchi Yan |
| 2024 | ACL | LLM Knows Body Language, Too: Translating Speech Voices into Human Gestures. | Chenghao Xu, Guangtao Lyu, Jiexi Yan, Muli Yang, Cheng Deng |
| 2024 | ACL | Exploiting Intrinsic Multilateral Logical Rules for Weakly Supervised Natural Language Video Localization. | Zhe Xu, Kun Wei, Xu Yang, Cheng Deng |
| 2024 | CVPR | Long-Tail Class Incremental Learning via Independent SUb-Prototype Construction. | Xi Wang, Xu Yang, Jie Yin, Kun Wei, Cheng Deng |
| 2024 | CVPR | Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation. | Fuli Wan, Han Zhao, Xu Yang, Cheng Deng |
| 2024 | CVPR | A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability. | Xu Yang, Xuan Chen, Moqi Li, Kun Wei, Cheng Deng |
| 2024 | CVPR | Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. | Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng |
| 2024 | ECAI | A Language Model as a Design Assistant for UI Design Recommendation and Evaluation. | Lin Sheng, Cheng Deng, Junjie Zhang, Fangyuan Chang, Qinghua Sun, Hongyu Liu, Zhenyu Gu |
| 2024 | ICLR | Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects. | Aming Wu, Cheng Deng |
| 2024 | ICML | DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based Reasoning. | Siyuan Guo, Cheng Deng, Ying Wen, Hechang Chen, Yi Chang, Jun Wang |
| 2024 | ICML | Retrieval Across Any Domains via Large-scale Pre-trained Model. | Jiexi Yan, Zhihui Yin, Chenghao Xu, Cheng Deng, Heng Huang |
| 2024 | IJCAI | Navigating Continual Test-time Adaptation with Symbiosis Knowledge. | Xu Yang, Moqi Li, Jie Yin, Kun Wei, Cheng Deng |
| 2024 | KDD | Label Learning Method Based on Tensor Projection. | Jing Li, Quanxue Gao, Qianqian Wang, Cheng Deng, De-Yan Xie |
| 2024 | WSDM | K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization. | Cheng Deng, Tianhang Zhang, Zhongmou He, Qiyuan Chen, Yuanyuan Shi, Yi Xu, Luoyi Fu, Weinan Zhang, Xinbing Wang, Chenghu Zhou, Zhouhan Lin, Junxian He |
| 2024 | SDM | 3D Molecular Geometry Analysis with 2D Graphs. | Zhao Xu, Yaochen Xie, Youzhi Luo, Xuan Zhang, Xinyi Xu, Meng Liu, Kaleb Dickerson, Cheng Deng, Maho Nakata, Shuiwang Ji |
| 2023 | AAAI | Similarity Distribution Based Membership Inference Attack on Person Re-identification. | Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao |
| 2023 | CVPR | Discriminating Known from Unknown Objects via Structure-Enhanced Recurrent Variational AutoEncoder. | Aming Wu, Cheng Deng |
| 2023 | CVPR | Bootstrap Your Own Prior: Towards Distribution-Agnostic Novel Class Discovery. | Muli Yang, Liancheng Wang, Cheng Deng, Hanwang Zhang |
| 2023 | EMNLP | Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus. | Tianhang Zhang, Lin Qiu, Qipeng Guo, Cheng Deng, Yue Zhang, Zheng Zhang, Chenghu Zhou, Xinbing Wang, Luoyi Fu |
| 2023 | ICCV | Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. | Yukuan Min, Aming Wu, Cheng Deng |
| 2023 | ICCV | Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects. | Aming Wu, Da Chen, Cheng Deng |
| 2023 | IJCAI | Exploring Safety Supervision for Continual Test-time Domain Adaptation. | Xu Yang, Yanan Gu, Kun Wei, Cheng Deng |
| 2023 | IJCAI | Hierarchical Prompt Learning for Compositional Zero-Shot Recognition. | Henan Wang, Muli Yang, Kun Wei, Cheng Deng |
| 2022 | CVPR | Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency. | Yanan Gu, Xu Yang, Kun Wei, Cheng Deng |
| 2022 | CVPR | Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. | Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang |
| 2022 | CVPR | Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. | Aming Wu, Cheng Deng |
| 2022 | CVPR | Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. | Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang |
| 2022 | CVPR | Mutual Quantization for Cross-Modal Search with Noisy Labels. | Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng |
| 2022 | CVPR | Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. | Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu, Cheng Deng |
| 2022 | IJCAI | Attention-guided Contrastive Hashing for Long-tailed Image Retrieval. | Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng |
| 2021 | AAAI | Class-Incremental Instance Segmentation via Multi-Teacher Networks. | Yanan Gu, Cheng Deng, Kun Wei |
| 2021 | AAAI | Generalized Zero-Shot Learning via Disentangled Representation. | Xiangyu Li, Zhe Xu, Kun Wei, Cheng Deng |
| 2021 | AAAI | Incremental Embedding Learning via Zero-Shot Translation. | Kun Wei, Cheng Deng, Xu Yang, Maosen Li |
| 2021 | AAAI | Secure Bilevel Asynchronous Vertical Federated Learning with Backward Updating. | Qingsong Zhang, Bin Gu, Cheng Deng, Heng Huang |
| 2021 | CIKM | GAKG: A Multimodal Geoscience Academic Knowledge Graph. | Cheng Deng, Yuting Jia, Hui Xu, Chong Zhang, Jingyao Tang, Luoyi Fu, Weinan Zhang, Haisong Zhang, Xinbing Wang, Chenghu Zhou |
| 2021 | CIKM | Desirable Companion for Vertical Federated Learning: New Zeroth-Order Gradient Based Algorithm. | Qingsong Zhang, Bin Gu, Zhiyuan Dang, Cheng Deng, Heng Huang |
| 2021 | CVPR | SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. | Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan |
| 2021 | CVPR | Nearest Neighbor Matching for Deep Clustering. | Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang |
| 2021 | CVPR | Unsupervised Hyperbolic Metric Learning. | Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang |
| 2021 | ICCV | Adversarial Attack on Deep Cross-Modal Hamming Retrieval. | Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang |
| 2021 | IJCAI | Domain-Smoothing Network for Zero-Shot Sketch-Based Image Retrieval. | Zhipeng Wang, Hao Wang, Jiexi Yan, Aming Wu, Cheng Deng |
| 2021 | IJCAI | Graph Debiased Contrastive Learning with Joint Representation Clustering. | Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng |
| 2021 | KDD | AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization. | Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang |
| 2020 | AAAI | Context Modulated Dynamic Networks for Actor and Action Video Segmentation with Language Queries. | Hao Wang, Cheng Deng, Fan Ma, Yi Yang |
| 2020 | CVPR | Multi-Scale Fusion Subspace Clustering Using Similarity Constraint. | Zhiyuan Dang, Cheng Deng, Xu Yang, Heng Huang |
| 2020 | CVPR | Towards Transferable Targeted Attack. | Maosen Li, Cheng Deng, Tengjiao Li, Junchi Yan, Xinbo Gao, Heng Huang |
| 2020 | CVPR | Projection & Probability-Driven Black-Box Attack. | Jie Li, Rongrong Ji, Hong Liu, Jianzhuang Liu, Bineng Zhong, Cheng Deng, Qi Tian |
| 2020 | CVPR | Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation. | Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu, Cheng Deng, Rongrong Ji |
| 2020 | CVPR | Learning Unseen Concepts via Hierarchical Decomposition and Composition. | Muli Yang, Cheng Deng, Junchi Yan, Xianglong Liu, Dacheng Tao |
| 2020 | IJCAI | Lifelong Zero-Shot Learning. | Kun Wei, Cheng Deng, Xu Yang |
| 2020 | KDD | Vulnerability vs. Reliability: Disentangled Adversarial Examples for Cross-Modal Learning. | Chao Li, Haoteng Tang, Cheng Deng, Liang Zhan, Wei Liu |
| 2019 | AAAI | Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval. | Chao Li, Cheng Deng, Lei Wang, De Xie, Xianglong Liu |
| 2019 | AAAI | Orthogonality-Promoting Dictionary Learning via Bayesian Inference. | Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | AAAI | Robust Metric Learning on Grassmann Manifolds with Generalization Guarantees. | Lei Luo, Jie Xu, Cheng Deng, Heng Huang |
| 2019 | AAAI | Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification. | De Xie, Cheng Deng, Hao Wang, Chao Li, Dapeng Tao |
| 2019 | CVPR | Cross Domain Model Compression by Structurally Weight Sharing. | Shangqian Gao, Cheng Deng, Heng Huang |
| 2019 | CVPR | Balanced Self-Paced Learning for Generative Adversarial Clustering Network. | Kamran Ghasedi, Xiaoqian Wang, Cheng Deng, Heng Huang |
| 2019 | CVPR | Towards Visual Feature Translation. | Jie Hu, Rongrong Ji, Hong Liu, Shengchuan Zhang, Cheng Deng, Qi Tian |
| 2019 | CVPR | Deep Asymmetric Metric Learning via Rich Relationship Mining. | Xinyi Xu, Yanhua Yang, Cheng Deng, Feng Zheng |
| 2019 | CVPR | Deep Spectral Clustering Using Dual Autoencoder Network. | Xu Yang, Cheng Deng, Feng Zheng, Junchi Yan, Wei Liu |
| 2019 | CVPR | DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. | Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao |
| 2019 | CVPR | Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training. | Feng Zheng, Cheng Deng, Xing Sun, Xinyang Jiang, Xiaowei Guo, Zongqiao Yu, Feiyue Huang, Rongrong Ji |
| 2019 | ICCV | Asymmetric Cross-Guided Attention Network for Actor and Action Video Segmentation From Natural Language Query. | Hao Wang, Cheng Deng, Junchi Yan, Dacheng Tao |
| 2019 | ICCV | Adversarial Fine-Grained Composition Learning for Unseen Attribute-Object Recognition. | Kun Wei, Muli Yang, Hao Wang, Cheng Deng, Xianglong Liu |
| 2019 | IJCAI | Hypergraph Induced Convolutional Manifold Networks. | Taisong Jin, Liujuan Cao, Baochang Zhang, Xiaoshuai Sun, Cheng Deng, Rongrong Ji |
| 2019 | IJCAI | Zero-shot Metric Learning. | Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng |
| 2019 | IJCAI | Graph Convolutional Network Hashing for Cross-Modal Retrieval. | Ruiqing Xu, Chao Li, Junchi Yan, Cheng Deng, Xianglong Liu |
| 2019 | IJCAI | Binarized Neural Networks for Resource-Efficient Hashing with Minimizing Quantization Loss. | Feng Zheng, Cheng Deng, Heng Huang |
| 2018 | AAAI | Dictionary Learning in Optimal Metric Space. | Jiexi Yan, Cheng Deng, Xianglong Liu |
| 2018 | AAAI | New l | Xu Yang, Cheng Deng, Xianglong Liu, Feiping Nie |
| 2018 | CHI | The Effects of Adding Search Functionality to Interactive Visualizations on the Web. | Mi Feng, Cheng Deng, Evan M. Peck, Lane Harrison |
| 2018 | CVPR | Unsupervised Deep Generative Adversarial Hashing Network. | Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi, Yanhua Yang, Cheng Deng, Heng Huang |
| 2018 | CVPR | Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval. | Chao Li, Cheng Deng, Ning Li, Wei Liu, Xinbo Gao, Dacheng Tao |
| 2018 | CVPR | Direct Shape Regression Networks for End-to-End Face Alignment. | Xin Miao, Xiantong Zhen, Xianglong Liu, Cheng Deng, Vassilis Athitsos, Heng Huang |
| 2018 | ICML | Faster Derivative-Free Stochastic Algorithm for Shared Memory Machines. | Bin Gu, Zhouyuan Huo, Cheng Deng, Heng Huang |
| 2018 | IJCAI | Deep View-Aware Metric Learning for Person Re-Identification. | Pu Chen, Xinyi Xu, Cheng Deng |
| 2018 | IJCAI | Complementary Binary Quantization for Joint Multiple Indexing. | Qiang Fu, Xu Han, Xianglong Liu, Jingkuan Song, Cheng Deng |
| 2018 | IJCAI | Deep Joint Semantic-Embedding Hashing. | Ning Li, Chao Li, Cheng Deng, Xianglong Liu, Xinbo Gao |
| 2018 | IJCAI | Multi-Level Metric Learning via Smoothed Wasserstein Distance. | Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2018 | IJCAI | Semantic Structure-based Unsupervised Deep Hashing. | Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao |
| 2018 | KDD | New Robust Metric Learning Model Using Maximum Correntropy Criterion. | Jie Xu, Lei Luo, Cheng Deng, Heng Huang |
| 2017 | AAAI | Boosting Complementary Hash Tables for Fast Nearest Neighbor Search. | Xianglong Liu, Cheng Deng, Yadong Mu, Zhujin Li |
| 2017 | AAAI | Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. | Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
| 2017 | ICCV | Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. | Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang |
| 2017 | IJCAI | Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning. | Wenhao Jiang, Cheng Deng, Wei Liu, Feiping Nie, Fu-Lai Chung, Heng Huang |
| 2017 | IJCAI | How Unlabeled Web Videos Help Complex Event Detection? | Huan Liu, Qinghua Zheng, Minnan Luo, Dingwen Zhang, Xiaojun Chang, Cheng Deng |
| 2017 | IJCAI | Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model. | Jie Xu, Cheng Deng, Xinbo Gao, Dinggang Shen, Heng Huang |
| 2017 | IJCAI | Multi-Class Support Vector Machine via Maximizing Multi-Class Margins. | Jie Xu, Xianglong Liu, Zhouyuan Huo, Cheng Deng, Feiping Nie, Heng Huang |
| 2016 | AAAI | New l1-Norm Relaxations and Optimizations for Graph Clustering. | Feiping Nie, Hua Wang, Cheng Deng, Xinbo Gao, Xuelong Li, Heng Huang |
| 2016 | AAAI | Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning. | Hua Wang, Cheng Deng, Hao Zhang, Xinbo Gao, Heng Huang |
| 2016 | CVPR | Multilinear Hyperplane Hashing. | Xianglong Liu, Xinjie Fan, Cheng Deng, Zhujin Li, Hao Su, Dacheng Tao |
| 2016 | IJCAI | Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval. | Yadong Mu, Wei Liu, Cheng Deng, Zongting Lv, Xinbo Gao |
| 2016 | IGARSS | Hyperspectral image super-resolution using sparse spectral unmixing and low-rank constraints. | Zeyu Li, Chao Li, Cheng Deng, Jie Li |
| 2015 | AAAI | Optimizing Bag Features for Multiple-Instance Retrieval. | Zhouyu Fu, Feifei Pan, Cheng Deng, Wei Liu |
| 2015 | ICASSP | Coupled fisher discrimination dictionary learning for single image super-resolution. | Songhang Ye, Cheng Deng, Jie Xu, Xinbo Gao |
| 2015 | ICCV | Multi-View Complementary Hash Tables for Nearest Neighbor Search. | Xianglong Liu, Lei Huang, Cheng Deng, Jiwen Lu, Bo Lang |
| 2015 | IJCAI | Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information. | Cheng Deng, Zongting Lv, Wei Liu, Junzhou Huang, Dacheng Tao, Xinbo Gao |
| 2014 | CVPR | Collaborative Hashing. | Xianglong Liu, Junfeng He, Cheng Deng, Bo Lang |
| 2014 | ICASSP | Image super-resolution using multi-layer support vector regression. | Jie Xu, Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li |
| 2014 | IDEAL | Linear Regression Fisher Discrimination Dictionary Learning for Hyperspectral Image Classification. | Liang Chen, Ming Yang, Cheng Deng, Hujun Yin |
| 2013 | ICCV | Visual Reranking through Weakly Supervised Multi-graph Learning. | Cheng Deng, Rongrong Ji, Wei Liu, Dacheng Tao, Xinbo Gao |
| 2013 | ICIP | Learning to multimodal hash for robust video copy detection. | Haiyan Peng, Cheng Deng, Lingling An, Xinbo Gao, Dacheng Tao |
| 2013 | TASE | Towards Conformance Testing of Choreography Based on Scenario. | Hongli Yang, Kai Ma, Cheng Deng, Husheng Liao, Jun Yan, Jian Zhang |
| 2010 | ICNC | A study on feature extraction of parallel immune genetic clustering algorithm based on clustering center optimization. | Juan Zou, Jinhua Zheng, Jingye Zhou, Cheng Deng |
| 2010 | VCIP | Color image quality assessment with biologically inspired feature and machine learning. | Cheng Deng, Dacheng Tao |
| 2008 | CW | Invariant Image Watermarking Based on Local Feature Regions. | Cheng Deng, Xinbo Gao, Xuelong Li, Dacheng Tao |
| 2008 | ICIP | Geometrically invariant watermarking using affine covariant regions. | Cheng Deng, Xinbo Gao, Dacheng Tao, Xuelong Li |