Wang, Ke

70 publications

IJCAI 2025 Accelerating Adversarial Training on Under-Utilized GPU Zhuoxin Zhan, Ke Wang, Pulei Xiong

CVPR 2025 Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding Han Xiao, Yina Xie, Guanxin Tan, Yinghao Chen, Rui Hu, Ke Wang, Aojun Zhou, Hao Li, Hao Shao, Xudong Lu, Peng Gao, Yafei Wen, Xiaoxin Chen, Shuai Ren, Hongsheng Li

AAAI 2025 Beyond Spatial Domain: Cross-Domain Promoted Fourier Convolution Helps Single Image Dehazing Xiaozhe Zhang, Haidong Ding, Fengying Xie, Linpeng Pan, Yue Zi, Ke Wang, Haopeng Zhang

NeurIPS 2025 COME: Adding Scene-Centric Forecasting Control to Occupancy World Model Yining Shi, Kun Jiang, Qiang Meng, Ke Wang, Jiabao Wang, Wenchao Sun, Tuopu Wen, Mengmeng Yang, Diange Yang

ICLR 2025 DEPfold: RNA Secondary Structure Prediction as Dependency Parsing. Ke Wang, Shay B Cohen

NeurIPS 2025 Each Complexity Deserves a Pruning Policy Hanshi Wang, Yuhao Xu, Zekun Xu, Jin Gao, Yufan Liu, Weiming Hu, Ke Wang, Zhipeng Zhang

ICML 2025 Improving Parallel Program Performance with LLM Optimizers via Agent-System Interfaces Anjiang Wei, Allen Nie, Thiago S. F. X. Teixeira, Rohan Yadav, Wonchan Lee, Ke Wang, Alex Aiken

ICLR 2025 LiNeS: Post-Training Layer Scaling Prevents Forgetting and Enhances Model Merging Ke Wang, Nikolaos Dimitriadis, Alessandro Favero, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

NeurIPS 2025 MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs Ke Wang, Yiming Qin, Nikolaos Dimitriadis, Alessandro Favero, Pascal Frossard

ICLR 2025 MathCoder2: Better Math Reasoning from Continued Pretraining on Model-Translated Mathematical Code Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Junting Pan, Mingjie Zhan, Hongsheng Li

ICCV 2025 NegRefine: Refining Negative Label-Based Zero-Shot OOD Detection Amirhossein Ansari, Ke Wang, Pulei Xiong

NeurIPS 2025 Online Segment Any 3D Thing as Instance Tracking Hanshi Wang, Caizijian, Jin Gao, Yiwei Zhang, Weiming Hu, Ke Wang, Zhipeng Zhang

ICCV 2025 Scaling and Taming Adversarial Training with Synthetic Data Juntao Wu, Xianting Huang, Yu Chen, Shuai Pang, Ke Wang

TMLR 2025 Step-Controlled DPO: Leveraging Stepwise Errors for Enhancing Mathematical Reasoning of Language Models Zimu Lu, Aojun Zhou, Ke Wang, Houxing Ren, Weikang Shi, Yunqiao Yang, Junting Pan, Mingjie Zhan, Hongsheng Li

AAAI 2025 Vision Transformers Beat WideResNets on Small Scale Datasets Adversarial Robustness Juntao Wu, Ziyu Song, Xiaoyu Zhang, Shujun Xie, Longxin Lin, Ke Wang

NeurIPS 2025 WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch Zimu Lu, Yunqiao Yang, Houxing Ren, Haotian Hou, Han Xiao, Ke Wang, Weikang Shi, Aojun Zhou, Mingjie Zhan, Hongsheng Li

CVPR 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li

AAAI 2024 Learning from Failure: Improving Meeting Summarization Without Good Samples Ke Wang, Xiutian Zhao, Wei Peng

ICML 2024 Localizing Task Information for Improved Model Merging and Compression Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez, François Fleuret, Pascal Frossard

ICLR 2024 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning Ke Wang, Houxing Ren, Aojun Zhou, Zimu Lu, Sichun Luo, Weikang Shi, Renrui Zhang, Linqi Song, Mingjie Zhan, Hongsheng Li

NeurIPS 2024 Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset Ke Wang, Junting Pan, Weikang Shi, Zimu Lu, Houxing Ren, Aojun Zhou, Mingjie Zhan, Hongsheng Li

NeurIPS 2024 OPUS: Occupancy Prediction Using a Sparse Set Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang, Jie Yang, Wei Liu, Qibin Hou, Ming-Ming Cheng

ICML 2024 Pi-DUAL: Using Privileged Information to Distinguish Clean from Noisy Labels Ke Wang, Guillermo Ortiz-Jimenez, Rodolphe Jenatton, Mark Collier, Efi Kokiopoulou, Pascal Frossard

AAAI 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing

CVPR 2024 Semantically-Shifted Incremental Adapter-Tuning Is a Continual ViTransformer Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li

MIDL 2024 Skin Malignancy Classification Using Patients’ Skin Images and Meta-Data: Multimodal Fusion for Improving Fairness Ke Wang, Ningyuan Shan, Henry Gouk, Iris Szu-Szu Ho

ICLR 2024 Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-Based Self-Verification Aojun Zhou, Ke Wang, Zimu Lu, Weikang Shi, Sichun Luo, Zipeng Qin, Shaoqing Lu, Anya Jia, Linqi Song, Mingjie Zhan, Hongsheng Li

CVPR 2024 StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-Modal Data Streams via Neural Ordinary Differential Equation Yining Shi, Kun Jiang, Ke Wang, Jiusi Li, Yunlong Wang, Mengmeng Yang, Diange Yang

ECCV 2024 Towards Stable 3D Object Detection Jiabao Wang, Qiang Meng, Guochao Liu, Liujiang Yan, Ke Wang, Ming-Ming Cheng, Qibin Hou

ICCV 2023 CO-Net: Learning Multiple Point Cloud Tasks at Once with a Cohesive Network Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li

CVPR 2023 Curricular Object Manipulation in LiDAR-Based Object Detection Ziyue Zhu, Qiang Meng, Xiao Wang, Ke Wang, Liujiang Yan, Jian Yang

AAAI 2023 Disentangled Representation for Causal Mediation Analysis Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang

ICCV 2023 OFVL-MS: Once for Visual Localization Across Multiple Indoor Scenes Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li

CVPR 2023 Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once Tao Xie, Shiguang Wang, Ke Wang, Linqi Yang, Zhiqiang Jiang, Xingcheng Zhang, Kun Dai, Ruifeng Li, Jian Cheng

NeurIPS 2023 ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction Alfredo De Goyeneche Macaya, Shreya Ramachandran, Ke Wang, Ekin Karasan, Joseph Y. Cheng, Stella X. Yu, Michael Lustig

CVPR 2023 Semi-Supervised Parametric Real-World Image Harmonization Ke Wang, Michaël Gharbi, He Zhang, Zhihao Xia, Eli Shechtman

AAAI 2022 Incorporating Item Frequency for Differentially Private Set Union Ricardo Silva Carvalho, Ke Wang, Lovedeep Singh Gondara

NeurIPS 2022 Robust Learning Against Relational Adversaries Yizhen Wang, Mohannad Alhanahnah, Xiaozhu Meng, Ke Wang, Mihai Christodorescu, Somesh Jha

CVPR 2022 XYLayoutLM: Towards Layout-Aware Multimodal Networks for Visually-Rich Document Understanding Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang

NeurIPS 2021 Benign Overfitting in Multiclass Classification: All Roads Lead to Interpolation Ke Wang, Vidya Muthukumar, Christos Thrampoulidis

AAAI 2021 Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation Ke Wang, Guandan Chen, Zhongqiang Huang, Xiaojun Wan, Fei Huang

IJCAI 2020 Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding Ke Wang, Xuyan Chen, Ning Chen, Ting Chen

UAI 2020 Differentially Private Small Dataset Release Using Random Projections Lovedeep Gondara, Ke Wang

MLHC 2020 Differentially Private Survival Function Estimation Lovedeep Gondara, Ke Wang

UAI 2020 Differentially Private Top-K Selection via Stability on Unknown Domain Ricardo Silva Carvalho, Ke Wang, Lovedeep Gondara, Chunyan Miao

ICLR 2020 Hoppity: Learning Graph Transformations to Detect and Fix Bugs in Programs Elizabeth Dinella, Hanjun Dai, Ziyang Li, Mayur Naik, Le Song, Ke Wang

ICLR 2020 SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski

ICCVW 2019 AI Benchmark: All About Deep Learning on Smartphones in 2019 Andrey Ignatov, Radu Timofte, Andrei Kulik, Seungsoo Yang, Ke Wang, Felix Baum, Max Wu, Lirong Xu, Luc Van Gool

NeurIPS 2019 Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation Ke Wang, Hang Hua, Xiaojun Wan

AAAI 2019 Cost-Sensitive Learning to Rank Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li

IJCAI 2019 Discrete Binary Coding Based Label Distribution Learning Ke Wang, Xin Geng

NeurIPS 2019 Exact Gaussian Processes on a Million Data Points Ke Wang, Geoff Pleiss, Jacob Gardner, Stephen Tyree, Kilian Q. Weinberger, Andrew Gordon Wilson

ECCVW 2018 AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey Ignatov, Radu Timofte, William Chou, Ke Wang, Max Wu, Tim Hartley, Luc Van Gool

IJCAI 2018 Binary Coding Based Label Distribution Learning Ke Wang, Xin Geng

ICLR 2018 Dynamic Neural Program Embeddings for Program Repair Ke Wang, Rishabh Singh, Zhendong Su

WACV 2018 Retweet Wars: Tweet Popularity Prediction via Dynamic Multimodal Regression Ke Wang, Mohit Bansal, Jan-Michael Frahm

IJCAI 2018 SentiGAN: Generating Sentimental Texts via Mixture Adversarial Networks Ke Wang, Xiaojun Wan

ECCVW 2018 VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Haotian Wu, Lianjie Wang, Arne Schumann, Chase Brown, Qian Chen, Chengzheng Li, Dongdong Li, Emmanouil Michail, Fan Zhang, Feng Ni, Feng Zhu, Guanghui Wang, Haipeng Zhang, Han Deng, Hao Liu, Haoran Wang, Heqian Qiu, Honggang Qi, Honghui Shi, Hongliang Li, Hongyu Xu, Hu Lin, Ioannis Kompatsiaris, Jian Cheng, Jianqiang Wang, Jianxiu Yang, Jingkai Zhou, Juanping Zhao, K. J. Joseph, Kaiwen Duan, Karthik Suresh, Bo Ke, Ke Wang, Konstantinos Avgerinakis, Lars Wilko Sommer, Lei Zhang, Li Yang, Lin Cheng, Lin Ma, Liyu Lu, Lu Ding, Minyu Huang, Naveen Kumar Vedurupaka, Nehal Mamgain, Nitin Bansal, Oliver Acatay, Panagiotis Giannakeris, Qian Wang, Qijie Zhao, Qingming Huang, Qiong Liu, Qishang Cheng, Qiuchen Sun, Robert Laganière, Sheng Jiang, Shengjin Wang, Shubo Wei, Siwei Wang, Stefanos Vrochidis, Sujuan Wang, Tiaojio Lee, Usman Sajid, Vineeth N. Balasubramanian, Wei Li, Wei Zhang, Weikun Wu, Wenchi Ma, Wenrui He, Wenzhe Yang, Xiaoyu Chen, Xin Sun, Xinbin Luo, Xintao Lian, Xiufang Li, Yangliu Kuai, Yali Li, Yi Luo, Yifan Zhang, Yiling Liu, Ying Li, Yong Wang, Yongtao Wang, Yuanwei Wu, Yue Fan, Yunchao Wei, Yuqin Zhang, Zexin Wang, Zhangyang Wang, Zhaoyue Xia, Zhen Cui, Zhenwei He, Zhipeng Deng, Zhiyao Guo, Zichen Song

IJCAI 2016 Dimensionally Guided Synthesis of Mathematical Word Problems Ke Wang, Zhendong Su

WACV 2016 Efficient Joint Stereo Estimation and Land Usage Classification for Multiview Satellite Data Ke Wang, Craig Stutts, Enrique Dunn, Jan-Michael Frahm

AAAI 2015 Are Features Equally Representative? a Feature-Centric Recommendation Chenyi Zhang, Ke Wang, Ee-Peng Lim, Qinneng Xu, Jianling Sun, Hongkun Yu

IJCAI 2015 Automated Geometry Theorem Proving for Human-Readable Proofs Ke Wang, Zhendong Su

IJCAI 2015 Automatic Generation of Raven's Progressive Matrices Ke Wang, Zhendong Su

ICCV 2015 Minimal Solvers for 3D Geometry from Satellite Imagery Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm

WACV 2014 Combining Semantic Scene Priors and Haze Removal for Single Image Depth Estimation Ke Wang, Enrique Dunn, Joseph Tighe, Jan-Michael Frahm

ECCV 2014 Joint Object Class Sequencing and Trajectory Triangulation (JOST) Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm

CVPR 2014 Stereo Under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction Yilin Wang, Ke Wang, Enrique Dunn, Jan-Michael Frahm

AAAI 2011 CCRank: Parallel Learning to Rank with Cooperative Coevolution Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw

AAAI 2006 Classification Spanning Private Databases Ke Wang, Yabo Xu, Rong She, Philip S. Yu

IJCAI 1997 Minimum Splits Based Discretization for Continuous Features Ke Wang, Han Chong Goh