Wang, Di

127 publications

ICLRW 2025 "Short-Length" Adversarial Training Helps LLMs Defend "Long-Length" Jailbreak Attacks: Theoretical and Empirical Evidence Shaopeng Fu, Liang Ding, Di Wang

ICLR 2025 A Benchmark for Semantic Sensitive Information in LLMs Outputs Qingjie Zhang, Han Qiu, Di Wang, Yiming Li, Tianwei Zhang, Wenyu Zhu, Haiqin Weng, Liu Yan, Chao Zhang

ICLR 2025 A Solvable Attention for Neural Scaling Laws Bochen Lyu, Di Wang, Zhanxing Zhu

IJCAI 2025 ABNet: Mitigating Sample Imbalance in Anomaly Detection Within Dynamic Graphs Yifan Hong, Muhammad Asif Ali, Huan Wang, Junyang Chen, Di Wang

JMLR 2025 Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos Shao-Bo Lin, Xiaotong Liu, Di Wang, Hai Zhang, Ding-Xuan Zhou

ICML 2025 Autonomy-of-Experts Models Ang Lv, Ruobing Xie, Yining Qian, Songhao Wu, Xingwu Sun, Zhanhui Kang, Di Wang, Rui Yan

TMLR 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

ICLRW 2025 Beyond Ordinary Lipschitz Constraints: Differentially Private Optimization with TNC Difei Xu, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

AAAI 2025 CognitionCapturer: Decoding Visual Stimuli from Human EEG Signal with Multimodal Information Kaifan Zhang, Lihuo He, Xin Jiang, Wen Lu, Di Wang, Xinbo Gao

IJCAI 2025 DGL: Dynamic Global-Local Information Aggregation for Scalable VRP Generalization with Self-Improvement Learning Yubin Xiao, Yuesong Wu, Rui Cao, Di Wang, Zhiguang Cao, Xuan Wu, Peng Zhao, Yuanshu Li, You Zhou, Yuan Jiang

NeurIPS 2025 DGSolver: Diffusion Generalist Solver with Universal Posterior Sampling for Image Restoration Hebaixu Wang, Jing Zhang, Haonan Guo, Di Wang, Jiayi Ma, Bo Du

ECML-PKDD 2025 Differentially Private Sparse Linear Regression with Heavy-Tailed Responses Xizhi Tian, Meng Ding, Touming Tao, Zihang Xiang, Di Wang

CVPR 2025 DynPose: Largely Improving the Efficiency of Human Pose Estimation by a Simple Dynamic Framework Yalong Xu, Lin Zhao, Chen Gong, Guangyu Li, Di Wang, Nannan Wang

NeurIPS 2025 EAP-GP: Mitigating Saturation Effect in Gradient-Based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

ICML 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

ICLRW 2025 Editable Concept Bottleneck Models Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang

AAAI 2025 FD2-Net: Frequency-Driven Feature Decomposition Network for Infrared-Visible Object Detection Ke Li, Di Wang, Zhangyuan Hu, Shaofeng Li, Weiping Ni, Lin Zhao, Quan Wang

AAAI 2025 Fair Text-to-Image Diffusion via Fair Mapping Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang

TMLR 2025 Faithful Interpretation for Graph Neural Networks Lijie Hu, Tianhao Huang, Lu Yu, Wanyu Lin, Tianhang Zheng, Di Wang

NeurIPS 2025 GeoLLaVA-8k: Scaling Remote-Sensing Multimodal Large Language Models to 8k Resolution Fengxiang Wang, Mingshuo Chen, Yueying Li, Di Wang, Haotian Wang, Zonghao Guo, Zefan Wang, Shan Boqi, Long Lan, Yulin Wang, Hongzhen Wang, Wenjing Yang, Bo Du, Jing Zhang

ICCV 2025 Harnessing Massive Satellite Imagery with Efficient Masked Image Modeling Fengxiang Wang, Hongzhen Wang, Di Wang, Zonghao Guo, Zhenyu Zhong, Long Lan, Wenjing Yang, Jing Zhang

CVPR 2025 HumanRig: Learning Automatic Rigging for Humanoid Character in a Large Scale Dataset Zedong Chu, Feng Xiong, Meiduo Liu, Jinzhi Zhang, Mingqi Shao, Zhaoxu Sun, Di Wang, Mu Xu

AAAI 2025 Improved Rates of Differentially Private Nonconvex-Strongly-Concave Minimax Optimization Ruijia Zhang, Mingxi Lei, Meng Ding, Zihang Xiang, Jinhui Xu, Di Wang

ICML 2025 Locate-Then-Edit for Multi-Hop Factual Recall Under Knowledge Editing Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang

UAI 2025 Nearly Optimal Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Shaowei Wang, Tianhang Zheng, Di Wang, Jinhui Xu

IJCAI 2025 Object-Level Backdoor Attacks in RGB-T Semantic Segmentation with Cross-Modality Trigger Optimization Xianghao Jiao, Di Wang, Jiawei Liang, Jianjie Huang, Wei Wang, Xiaochun Cao

AAAI 2025 Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang

NeurIPS 2025 Private Training Large-Scale Models with Efficient DP-SGD Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David E. Keyes, Di Wang

AAAI 2025 ReMask-Animate: Refined Character Image Animation Using Mask-Guided Adapters Xunzhi Xiang, Haiwei Xue, Zonghong Dai, Di Wang, Minglei Li, Ye Yue, Fei Ma, Weijiang Yu, Heng Chang, Fei Richard Yu

NeurIPS 2025 RoMA: Scaling up Mamba-Based Foundation Models for Remote Sensing Fengxiang Wang, Yulin Wang, Mingshuo Chen, Haotian Wang, Hongzhen Wang, Haiyan Zhao, Yangang Sun, Shuo Wang, Di Wang, Long Lan, Wenjing Yang, Jing Zhang

ICCV 2025 Robust and Efficient 3D Gaussian Splatting for Urban Scene Reconstruction Zhensheng Yuan, Haozhi Huang, Zhen Xiong, Di Wang, Guanghua Yang

ICML 2025 Scaling Laws for Floating–Point Quantization Training Xingwu Sun, Shuaipeng Li, Ruobing Xie, Weidong Han, Kan Wu, Zhen Yang, Yixing Li, An Wang, Shuai Li, Jinbao Xue, Yu Cheng, Yangyu Tao, Zhanhui Kang, Cheng-Zhong Xu, Di Wang, Jie Jiang

NeurIPS 2025 Second-Order Convergence in Private Stochastic Non-Convex Optimization Youming Tao, Zuyuan Zhang, Dongxiao Yu, Xiuzhen Cheng, Falko Dressler, Di Wang

ICCV 2025 Semi-Supervised Concept Bottleneck Models Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang

NeurIPS 2025 Short-Length Adversarial Training Helps LLMs Defend Long-Length Jailbreak Attacks: Theoretical and Empirical Evidence Shaopeng Fu, Liang Ding, Jingfeng Zhang, Di Wang

ECML-PKDD 2025 Stable Vision Concept Transformers for Medical Diagnosis Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

ICLRW 2025 TASKD-LLM: Task-Aware Selective Knowledge Distillation for LLMs Khouloud Saadi, Di Wang

NeurIPS 2025 TEMPO: Temporal Multi-Scale Autoregressive Generation of Protein Conformational Ensembles Yaoyao Xu, Di Wang, Zihan Zhou, Tianshu Yu, Mingchen Chen

IJCAI 2025 TextMEF: Text-Guided Prompt Learning for Multi-Exposure Image Fusion Jinyuan Liu, Qianjun Huang, Guanyao Wu, Di Wang, Zhiying Jiang, Long Ma, Risheng Liu, Xin Fan

NeurIPS 2025 Topology-Aware Learning of Tubular Manifolds via SE(3)-Equivariant Network on Ball B-Spline Curve Jingxuan Wang, Zhongke Wu, Wang Xing-Ce, Zhang Zeyao, Chunhao Zheng, Di Wang

NeurIPS 2025 TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang

ICCV 2025 Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Xiao Liang, Di Wang, Zhicheng Jiao, Ronghan Li, Pengfei Yang, Quan Wang, Tat-Seng Chua

ICLRW 2025 Understanding Private Learning from Feature Perspective Meng Ding, Mingxi Lei, Shaopeng Fu, Di Wang, Jinhui Xu

CVPR 2025 XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery? Fengxiang Wang, Hongzhen Wang, Zonghao Guo, Di Wang, Yulin Wang, Mingshuo Chen, Qiang Ma, Long Lan, Wenjing Yang, Jing Zhang, Zhiyuan Liu, Maosong Sun

ICML 2024 A Field Guide for Pacing Budget and ROS Constraints Santiago R. Balseiro, Kshipra Bhawalkar, Zhe Feng, Haihao Lu, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

ICLR 2024 An LLM Can Fool Itself: A Prompt-Based Adversarial Attack Xilie Xu, Keyi Kong, Ning Liu, Lizhen Cui, Di Wang, Jingfeng Zhang, Mohan Kankanhalli

AAAI 2024 Anchoring Path for Inductive Relation Prediction in Knowledge Graphs Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

ICML 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic Under Markovian Sampling with Neural Network Parametrization Mudit Gaur, Amrit Bedi, Di Wang, Vaneet Aggarwal

AAAI 2024 Distilling Autoregressive Models to Obtain High-Performance Non-Autoregressive Solvers for Vehicle Routing Problems with Faster Inference Speed Yubin Xiao, Di Wang, Boyang Li, Mingzhao Wang, Xuan Wu, Changliang Zhou, You Zhou

ICLR 2024 Faithful Vision-Language Interpretation via Concept Bottleneck Models Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Equille, Di Wang

JMLR 2024 Faster Rates of Differentially Private Stochastic Convex Optimization Jinyan Su, Lijie Hu, Di Wang

NeurIPSW 2024 FlashDP: Memory-Efficient and High-Throughput DP-SGD Training for Large Language Models Liangyu Wang, Junxiao Wang, Jie Ren, Zihang Xiang, David E. Keyes, Di Wang

AAAI 2024 Image Content Generation with Causal Reasoning Xiaochuan Li, Baoyu Fan, Runze Zhang, Liang Jin, Di Wang, Zhenhua Guo, Yaqian Zhao, Rengang Li

ICLR 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model Liyang Zhu, Meng Ding, Vaneet Aggarwal, Jinhui Xu, Di Wang

ICML 2024 Improving Interpretation Faithfulness for Vision Transformers Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

AAAI 2024 LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

IJCAI 2024 LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation Wentao Jiang, Jing Zhang, Di Wang, Qiming Zhang, Zengmao Wang, Bo Du

AAAI 2024 Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

NeurIPS 2024 Perplexity-Aware Correction for Robust Alignment with Noisy Preferences Keyi Kong, Xilie Xu, Di Wang, Jingfeng Zhang, Mohan Kankanhalli

TMLR 2024 Persistent Local Homology in Graph Learning Minghua Wang, Yan Hu, Ziyun Huang, Di Wang, Jinhui Xu

AAAI 2024 Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang, Zhiyang Teng, Lijuan Sun, Qimei Cui, Xiaofeng Tao

NeurIPS 2024 Revisiting Differentially Private ReLU Regression Meng Ding, Mingxi Lei, Liyang Zhu, Shaowei Wang, Di Wang, Jinhui Xu

AAAI 2024 SHaRPose: Sparse High-Resolution Representation for Human Pose Estimation Xiaoqi An, Lin Zhao, Chen Gong, Nannan Wang, Di Wang, Jian Yang

NeurIPS 2024 Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling Shuaipeng Li, Penghao Zhao, Hailin Zhang, Xingwu Sun, Hao Wu, Dian Jiao, Weiyan Wang, Chengjun Liu, Zheng Fang, Jinbao Xue, Yangyu Tao, Bin Cui, Di Wang

ICLR 2024 Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach Shaopeng Fu, Di Wang

NeurIPS 2024 Towards Multi-Dimensional Explanation Alignment for Medical Classification Lijie Hu, Songning Lai, Wenshuo Chen, Hongru Xiao, Hongbin Lin, Lu Yu, Jingfeng Zhang, Di Wang

ICLRW 2024 Towards Personalized AI: Early-Stopping Low-Rank Adaptation of Foundation Models Zihao Luo, Di Wang, Yun Sing Koh, Jingfeng Zhang

AAAI 2024 Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models Through Intervention Without Tuning Zhongzhi Chen, Xingwu Sun, Xianfeng Jiao, Fengzong Lian, Zhanhui Kang, Di Wang, Chengzhong Xu

NeurIPS 2024 Truthful High Dimensional Sparse Linear Regression Liyang Zhu, Amina Manseur, Meng Ding, Jinyan Liu, Jinhui Xu, Di Wang

ICML 2024 Understanding Forgetting in Continual Learning with Linear Regression Meng Ding, Kaiyi Ji, Di Wang, Jinhui Xu

CVPR 2024 Unleashing Channel Potential: Space-Frequency Selection Convolution for SAR Object Detection Ke Li, Di Wang, Zhangyuan Hu, Wenxuan Zhu, Shaofeng Li, Quan Wang

NeurIPSW 2024 What Makes Your Model a Low-Empathy or Warmth Person: Exploring the Oringins of Personality in LLMs Shu Yang, Shenzhe Zhu, Liang Liu, Mengdi Li, Lijie Hu, Di Wang

NeurIPSW 2024 ZO-Offloading: Fine-Tuning LLMs with 100 Billion Parameters on a Single GPU Liangyu Wang, Jie Ren, Hang Xu, Junxiao Wang, David E. Keyes, Di Wang

ICML 2023 Differentially Private Episodic Reinforcement Learning with Heavy-Tailed Rewards Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang

UAI 2023 Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited Jinyan Su, Changhong Zhao, Di Wang

JMLR 2023 Generalized Linear Models in Non-Interactive Local Differential Privacy with Public Data Di Wang, Lijie Hu, Huanyu Zhang, Marco Gaboardi, Jinhui Xu

AAAI 2023 Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

NeurIPS 2023 On Private and Robust Bandits Yulian Wu, Xingyu Zhou, Youming Tao, Di Wang

AISTATS 2023 Privacy-Preserving Sparse Generalized Eigenvalue Problem Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang

ICML 2023 Robust Budget Pacing with a Single Sample Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang

NeurIPS 2023 SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model Di Wang, Jing Zhang, Bo Du, Minqiang Xu, Lin Liu, Dacheng Tao, Liangpei Zhang

AAAI 2023 SEAT: Stable and Explainable Attention Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang

AISTATS 2022 On Facility Location Problem in the Local Differential Privacy Model Vincent Cohen-Addad, Yunus Esencayi, Chenglin Fan, Marco Gaboradi, Shi Li, Di Wang

AISTATS 2022 Optimal Rates of (Locally) Differentially Private Heavy-Tailed Multi-Armed Bandits Youming Tao, Yulian Wu, Peng Zhao, Di Wang

ALT 2022 Faster Rates of Private Stochastic Convex Optimization Jinyan Su, Lijie Hu, Di Wang

ICLRW 2022 Learning Robust Algorithms for Online Allocation Problems Using Adversarial Training Goran Zuzic, Di Wang, Aranyak Mehta, D. Sivakumar

ACML 2022 On PAC Learning Halfspaces in Non-Interactive Local Privacy Model with Public Unlabeled Data Jinyan Su, Jinhui Xu, Di Wang

IJCAI 2022 Private Stochastic Convex Optimization and Sparse Learning with Heavy-Tailed Data Revisited Youming Tao, Yulian Wu, Xiuzhen Cheng, Di Wang

WACV 2022 SC-UDA: Style and Content Gaps Aware Unsupervised Domain Adaptation for Object Detection Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen

IJCAI 2022 Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration Di Wang, Jinyuan Liu, Xin Fan, Risheng Liu

AAAI 2021 CARE: Commonsense-Aware Emotional Response Generation with Latent Concepts Peixiang Zhong, Di Wang, Pengfei Li, Chen Zhang, Hao Wang, Chunyan Miao

IJCAI 2021 Differentially Private Pairwise Learning Revisited Zhiyu Xue, Shaoyang Yang, Mengdi Huai, Di Wang

ALT 2021 Estimating Smooth GLM in Non-Interactive Local Differential Privacy Model with Public Unlabeled Data Di Wang, Huangyu Zhang, Marco Gaboardi, Jinhui Xu

AAAI 2020 Compact Autoregressive Network Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian

JMLR 2020 Distributed Kernel Ridge Regression with Communications Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

JMLR 2020 Empirical Risk Minimization in the Non-Interactive Local Model of Differential Privacy Di Wang, Marco Gaboardi, Adam Smith, Jinhui Xu

ECML-PKDD 2020 Escaping Saddle Points of Empirical Risk Privately and Scalably via DP-Trust Region Method Di Wang, Jinhui Xu

AAAI 2020 Estimating Stochastic Linear Combination of Non-Linear Regressions Di Wang, Xiangyu Guo, Chaowen Guan, Shi Li, Jinhui Xu

ICML 2020 On Differentially Private Stochastic Convex Optimization with Heavy-Tailed Data Di Wang, Hanshen Xiao, Srinivas Devadas, Jinhui Xu

ICML 2020 P-Norm Flow Diffusion for Local Graph Clustering Kimon Fountoulakis, Di Wang, Shenghao Yang

AAAI 2020 Pairwise Learning with Differential Privacy Guarantees Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

MLJ 2020 Robust High Dimensional Expectation Maximization Algorithm via Trimmed Hard Thresholding Di Wang, Xiangyu Guo, Shi Li, Jinhui Xu

AAAI 2020 Towards Interpretation of Pairwise Learning Mengdi Huai, Di Wang, Chenglin Miao, Aidong Zhang

AAAI 2019 An Affect-Rich Neural Conversational Model with Biased Attention and Weighted Cross-Entropy Loss Peixiang Zhong, Di Wang, Chunyan Miao

ICML 2019 Differentially Private Empirical Risk Minimization with Non-Convex Loss Functions Di Wang, Changyou Chen, Jinhui Xu

AAAI 2019 Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View Di Wang, Jinhui Xu

NeurIPS 2019 Facility Location Problem in Differential Privacy Model Revisited Yunus Esencayi, Marco Gaboardi, Shi Li, Di Wang

NeurIPS 2019 Faster Width-Dependent Algorithm for Mixed Packing and Covering LPs Digvijay Boob, Saurabh Sawlani, Di Wang

IJCAI 2019 Lower Bound of Locally Differentially Private Sparse Covariance Matrix Estimation Di Wang, Jinhui Xu

AAAI 2019 Modelling Autobiographical Memory Loss Across Life Span Di Wang, Ah-Hwee Tan, Chunyan Miao, Ahmed A. Moustafa

ALT 2019 Noninteractive Locally Private Learning of Linear Models via Polynomial Approximations Di Wang, Adam Smith, Jinhui Xu

ICML 2019 On Sparse Linear Regression in the Local Differential Privacy Model Di Wang, Jinhui Xu

IJCAI 2019 Principal Component Analysis in the Local Differential Privacy Model Di Wang, Jinhui Xu

IJCAI 2019 Privacy-Aware Synthesizing for Crowdsourced Data Mengdi Huai, Di Wang, Chenglin Miao, Jinhui Xu, Aidong Zhang

ECML-PKDD 2019 Single-Path NAS: Designing Hardware-Efficient ConvNets in Less than 4 Hours Dimitrios Stamoulis, Ruizhou Ding, Di Wang, Dimitrios Lymberopoulos, Bodhi Priyantha, Jie Liu, Diana Marculescu

NeurIPS 2018 Empirical Risk Minimization in Non-Interactive Local Differential Privacy Revisited Di Wang, Marco Gaboardi, Jinhui Xu

AAAI 2018 Large Scale Constrained Linear Regression Revisited: Faster Algorithms via Preconditioning Di Wang, Jinhui Xu

IJCAI 2018 Neural Machine Translation with Key-Value Memory-Augmented Attention Fandong Meng, Zhaopeng Tu, Yong Cheng, Haiyang Wu, Junjie Zhai, Yuekui Yang, Di Wang

ICML 2017 Capacity Releasing Diffusion for Speed and Locality Di Wang, Kimon Fountoulakis, Monika Henzinger, Michael W. Mahoney, Satish Rao

NeurIPS 2017 Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang, Minwei Ye, Jinhui Xu

IJCAI 2017 Top-K Supervise Feature Selection via ADMM for Integer Programming Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du

AAAI 2016 Semi-Supervised Dictionary Learning via Structural Sparse Preserving Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

IJCAI 2015 An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

IJCAI 2015 Multi-Modality Tracker Aggregation: From Generative to Discriminative Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye

IJCAI 2015 Semantic Topic Multimodal Hashing for Cross-Media Retrieval Di Wang, Xinbo Gao, Xiumei Wang, Lihuo He

AAAI 2014 Hybrid Singular Value Thresholding for Tensor Completion Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma

NeurIPS 2013 Simultaneous Rectification and Alignment via Robust Recovery of Low-Rank Tensors Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma