Cai, Deng

115 publications

TMLR 2025 A Survey on the Honesty of Large Language Models Siheng Li, Cheng Yang, Taiqiang Wu, Chufan Shi, Yuji Zhang, Xinyu Zhu, Zesen Cheng, Deng Cai, Mo Yu, Lemao Liu, Jie Zhou, Yujiu Yang, Ngai Wong, Xixin Wu, Wai Lam

ICLR 2025 ChartMimic: Evaluating LMM's Cross-Modal Reasoning Capability via Chart-to-Code Generation Cheng Yang, Chufan Shi, Yaxin Liu, Bo Shui, Junjie Wang, Mohan Jing, Linran Xu, Xinyu Zhu, Siheng Li, Yuxiang Zhang, Gongye Liu, Xiaomei Nie, Deng Cai, Yujiu Yang

NeurIPS 2025 Controlling Thinking Speed in Reasoning Models Zhengkai Lin, Zhihang Fu, Ze Chen, Chao Chen, Liang Xie, Wenxiao Wang, Deng Cai, Zheng Wang, Jieping Ye

AAAI 2025 Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst Shijue Huang, Wanjun Zhong, Deng Cai, Fanqi Wan, Chengyi Wang, Mingxuan Wang, Mu Qiao, Ruifeng Xu

ICLR 2025 FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-Tuned Large Language Models Zhanwei Zhang, Shizhao Sun, Wenxiao Wang, Deng Cai, Jiang Bian

NeurIPS 2025 GeoCAD: Local Geometry-Controllable CAD Generation with Large Language Models Zhanwei Zhang, Kaiyuan Liu, Junjie Liu, Wenxiao Wang, Binbin Lin, Liang Xie, Chen Shen, Deng Cai

ICCV 2025 MagicID: Hybrid Preference Optimization for ID-Consistent and Dynamic-Preserved Video Customization Hengjia Li, Lifan Jiang, Xi Xiao, Tianyang Wang, Hongwei Yi, Boxi Wu, Deng Cai

ICCV 2025 PersonalVideo: High ID-Fidelity Video Customization Without Dynamic and Semantic Degradation Hengjia Li, Haonan Qiu, Shiwei Zhang, Xiang Wang, Yujie Wei, Zekun Li, Yingya Zhang, Boxi Wu, Deng Cai

AAAI 2025 STraj: Self-Training for Bridging the Cross-Geography Gap in Trajectory Prediction Zhanwei Zhang, Minghao Chen, Zhihong Gu, Xinkui Zhao, Zheng Yang, Binbin Lin, Deng Cai, Wenxiao Wang

ICLRW 2025 Self-Reasoning Language Models: Unfold Hidden Reasoning Chains with Few Reasoning Catalyst Hongru Wang, Deng Cai, Wanjun Zhong, Shijue Huang, Jeff Z. Pan, Zeming Liu, Kam-Fai Wong

NeurIPS 2025 TokenSqueeze: Performance-Preserving Compression for Reasoning LLMs Yuxiang Zhang, Zhengxu Yu, Weihang Pan, Zhongming Jin, Qiang Fu, Deng Cai, Binbin Lin, Jieping Ye

NeurIPS 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? Zhengkai Lin, Zhihang Fu, Kai Liu, Liang Xie, Binbin Lin, Wenxiao Wang, Deng Cai, Yue Wu, Jieping Ye

ICML 2024 From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye

IJCAI 2024 G2LTraj: A Global-to-Local Generation Approach for Trajectory Prediction Zhanwei Zhang, Zishuo Hua, Minghao Chen, Wei Lu, Binbin Lin, Deng Cai, Wenxiao Wang

NeurIPS 2024 GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li, Peisong Wang, Xiao Zhu, Aochuan Chen, Haiyun Jiang, Deng Cai, Victor Wai Kin Chan, Jia Li

ICLR 2024 Knowledge Fusion of Large Language Models Fanqi Wan, Xinting Huang, Deng Cai, Xiaojun Quan, Wei Bi, Shuming Shi

CVPR 2024 Learning Occupancy for Monocular 3D Object Detection Liang Peng, Junkai Xu, Haoran Cheng, Zheng Yang, Xiaopei Wu, Wei Qian, Wenxiao Wang, Boxi Wu, Deng Cai

NeurIPS 2024 On the Worst Prompt Performance of Large Language Models Bowen Cao, Deng Cai, Zhisong Zhang, Yuexian Zou, Wai Lam

CVPR 2024 Pseudo Label Refinery for Unsupervised Domain Adaptation on Cross-Dataset 3D Object Detection Zhanwei Zhang, Minghao Chen, Shuai Xiao, Liang Peng, Hengjia Li, Binbin Lin, Ping Li, Wenxiao Wang, Boxi Wu, Deng Cai

AAAI 2024 Regulating Intermediate 3D Features for Vision-Centric Autonomous Driving Junkai Xu, Liang Peng, Haoran Cheng, Linxuan Xia, Qi Zhou, Dan Deng, Wei Qian, Wenxiao Wang, Deng Cai

ICLR 2024 Retrieval Is Accurate Generation Bowen Cao, Deng Cai, Leyang Cui, Xuxin Cheng, Wei Bi, Yuexian Zou, Shuming Shi

AAAI 2024 Semi-Supervised 3D Object Detection with PatchTeacher and PillarMix Xiaopei Wu, Liang Peng, Liang Xie, Yuenan Hou, Binbin Lin, Xiaoshui Huang, Haifeng Liu, Deng Cai, Wanli Ouyang

NeurIPS 2024 StrategyLLM: Large Language Models as Strategy Generators, Executors, Optimizers, and Evaluators for Problem Solving Chang Gao, Haiyun Jiang, Deng Cai, Shuming Shi, Wai Lam

CVPR 2024 TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation Xiaopei Wu, Yuenan Hou, Xiaoshui Huang, Binbin Lin, Tong He, Xinge Zhu, Yuexin Ma, Boxi Wu, Haifeng Liu, Deng Cai, Wanli Ouyang

AAAI 2024 TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training Yuqi Lin, Minghao Chen, Kaipeng Zhang, Hengjia Li, Mingming Li, Zheng Yang, Dongqin Lv, Binbin Lin, Haifeng Liu, Deng Cai

ICLR 2024 The Reasonableness Behind Unreasonable Translation Capability of Large Language Model Tingchen Fu, Lemao Liu, Deng Cai, Guoping Huang, Shuming Shi, Rui Yan

AAAI 2024 Towards Fine-Grained HBOE with Rendered Orientation Set and Laplace Smoothing Ruisi Zhao, Mingming Li, Zheng Yang, Binbin Lin, Xiaohui Zhong, Xiaobo Ren, Deng Cai, Boxi Wu

NeurIPS 2024 Unchosen Experts Can Contribute Too: Unleashing MoE Models’ Power by Self-Contrast Chufan Shi, Cheng Yang, Xinyu Zhu, Jiahao Wang, Taiqiang Wu, Siheng Li, Deng Cai, Yujiu Yang, Yu Meng

ICLRW 2024 WatME: Towards Lossless Watermarking Through Lexical Redundancy Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong

ICLR 2023 Copy Is All You Need Tian Lan, Deng Cai, Yan Wang, Heyan Huang, Xian-Ling Mao

ICCV 2023 MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection Junkai Xu, Liang Peng, Haoran Cheng, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai

ICCV 2023 One-Shot Implicit Animatable Avatars with Model-Based Priors Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai

NeurIPS 2023 Repetition in Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su

AAAI 2023 Towards In-Distribution Compatible Out-of-Distribution Detection Boxi Wu, Jie Jiang, Haidong Ren, Zifan Du, Wenxiao Wang, Zhifeng Li, Deng Cai, Xiaofei He, Binbin Lin, Wei Liu

CVPR 2022 CLRNet: Cross Layer Refinement Network for Lane Detection Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He

ICLR 2022 CrossFormer: A Versatile Vision Transformer Hinging on Cross-Scale Attention Wenxiao Wang, Lu Yao, Long Chen, Binbin Lin, Deng Cai, Xiaofei He, Wei Liu

ECCV 2022 DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection Liang Peng, Xiaopei Wu, Zheng Yang, Haifeng Liu, Deng Cai

AAAI 2022 DMN4: Few-Shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu, Tu Zheng, Jie Song, Deng Cai, Xiaofei He

CVPR 2022 Frame-Wise Action Representations for Long Videos via Sequence Contrastive Learning Minghao Chen, Fangyun Wei, Chong Li, Deng Cai

ECCV 2022 Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph Honghui Yang, Zili Liu, Xiaopei Wu, Wenxiao Wang, Wei Qian, Xiaofei He, Deng Cai

CVPR 2022 Learning to Affiliate: Mutual Centralized Learning for Few-Shot Classification Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He

NeurIPS 2022 Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation Jin Xu, Xiaojiang Liu, Jianhao Yan, Deng Cai, Huayang Li, Jian Li

ECCV 2022 LiDAR Point Cloud Guided Monocular 3D Object Detection Liang Peng, Fei Liu, Zhengxu Yu, Senbo Yan, Dan Deng, Zheng Yang, Haifeng Liu, Deng Cai

NeurIPS 2022 Measuring and Reducing Model Update Regression in Structured Prediction for NLP Deng Cai, Elman Mansimov, Yi-An Lai, Yixuan Su, Lei Shu, Yi Zhang

AAAI 2022 SCALoss: Side and Corner Aligned Loss for Bounding Box Regression Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

CVPR 2022 Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai

ECCV 2022 Towards Efficient Adversarial Training on Vision Transformers Boxi Wu, Jindong Gu, Zhifeng Li, Deng Cai, Xiaofei He, Wei Liu

ICLR 2022 WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection Liang Peng, Senbo Yan, Boxi Wu, Zheng Yang, Xiaofei He, Deng Cai

ICML 2021 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework Wenxiao Wang, Minghao Chen, Shuai Zhao, Long Chen, Jinming Hu, Haifeng Liu, Deng Cai, Xiaofei He, Wei Liu

NeurIPS 2021 Do Wider Neural Networks Really Help Adversarial Robustness? Boxi Wu, Jinghui Chen, Deng Cai, Xiaofei He, Quanquan Gu

AAAI 2021 RESA: Recurrent Feature-Shift Aggregator for Lane Detection Tu Zheng, Hao Fang, Yi Zhang, Wenjian Tang, Zheng Yang, Haifeng Liu, Deng Cai

ICCV 2021 Salient Object Ranking with Position-Preserved Attention Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He

ICML 2020 Adversarial Mutual Information for Text Generation Boyuan Pan, Yazheng Yang, Kaizhao Liang, Bhavya Kailkhura, Zhongming Jin, Xian-Sheng Hua, Deng Cai, Bo Li

AAAI 2020 Adversarial-Learned Loss for Domain Adaptation Minghao Chen, Shuai Zhao, Haifeng Liu, Deng Cai

AAAI 2020 Graph Transformer for Graph-to-Sequence Learning Deng Cai, Wai Lam

IJCAI 2020 MaCAR: Urban Traffic Light Control via Active Multi-Agent Communication and Action Rectification Zhengxu Yu, Shuxian Liang, Long Wei, Zhongming Jin, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

AAAI 2020 PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module Liang Xie, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai, Xiaofei He

AAAI 2020 Question-Driven Purchasing Propensity Analysis for Recommendation Long Chen, Ziyu Guan, Qibin Xu, Qiong Zhang, Huan Sun, Guangyue Lu, Deng Cai

AAAI 2020 Training-Time-Friendly Network for Real-Time Object Detection Zili Liu, Tu Zheng, Guodong Xu, Zheng Yang, Haifeng Liu, Deng Cai

IJCAI 2019 COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning Wenxiao Wang, Cong Fu, Jishun Guo, Deng Cai, Xiaofei He

IJCAI 2019 Localizing Unseen Activities in Video via Image Query Zhu Zhang, Zhou Zhao, Zhijie Lin, Jingkuan Song, Deng Cai

IJCAI 2019 Progressive Transfer Learning for Person Re-Identification Zhengxu Yu, Zhongming Jin, Long Wei, Jishun Guo, Jianqiang Huang, Deng Cai, Xiaofei He, Xian-Sheng Hua

NeurIPS 2019 Region Mutual Information Loss for Semantic Segmentation Shuai Zhao, Yang Wang, Zheng Yang, Deng Cai

JMLR 2019 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Bin Hong, Weizhong Zhang, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

AAAI 2019 Unsupervised Learning Helps Supervised Neural Word Segmentation Xiaobin Wang, Deng Cai, Linlin Li, Guangwei Xu, Hai Zhao, Luo Si

IJCAI 2018 A Brand-Level Ranking System with the Customized Attention-GRU Model Yu Zhu, Junxiong Zhu, Jie Hou, Yongliang Li, Beidou Wang, Ziyu Guan, Deng Cai

IJCAI 2018 Attentional Image Retweet Modeling via Multi-Faceted Ranking Network Learning Zhou Zhao, Lingtao Meng, Jun Xiao, Min Yang, Fei Wu, Deng Cai, Xiaofei He, Yueting Zhuang

NeurIPS 2018 MacNet: Transferring Knowledge from Machine Comprehension to Sequence-to-Sequence Models Boyuan Pan, Yazheng Yang, Hao Li, Zhou Zhao, Yueting Zhuang, Deng Cai, Xiaofei He

IJCAI 2018 Multi-Turn Video Question Answering via Multi-Stream Hierarchical Attention Context Network Zhou Zhao, Xinghua Jiang, Deng Cai, Jun Xiao, Xiaofei He, Shiliang Pu

IJCAI 2018 Open-Ended Long-Form Video Question Answering via Adaptive Hierarchical Reinforced Networks Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, Yueting Zhuang

AAAI 2018 PixelLink: Detecting Scene Text via Instance Segmentation Dan Deng, Haifeng Liu, Xuelong Li, Deng Cai

IJCAI 2018 Translating Embeddings for Knowledge Graph Completion with Relation Attention Mechanism Wei Qian, Cong Fu, Yu Zhu, Deng Cai, Xiaofei He

AAAI 2017 Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning Zhou Zhao, Hanqing Lu, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Link Prediction via Ranking Metric Dual-Level Attention Network Learning Zhou Zhao, Ben Gao, Vincent W. Zheng, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Microblog Sentiment Classification via Recurrent Random Walk Network Learning Zhou Zhao, Hanqing Lu, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 Robust Asymmetric Bayesian Adaptive Matrix Factorization Xin Guo, Boyuan Pan, Deng Cai, Xiaofei He

ICML 2017 Scaling up Sparse Support Vector Machines by Simultaneous Feature and Sample Reduction Weizhong Zhang, Bin Hong, Wei Liu, Jieping Ye, Deng Cai, Xiaofei He, Jie Wang

IJCAI 2017 Stacked Similarity-Aware Autoencoders Wenqing Chu, Deng Cai

IJCAI 2017 Video Question Answering via Hierarchical Spatio-Temporal Attention Networks Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2017 What to Do Next: Modeling User Behaviors by Time-LSTM Yu Zhu, Hao Li, Yikang Liao, Beidou Wang, Ziyu Guan, Haifeng Liu, Deng Cai

AAAI 2016 Accelerated Sparse Linear Regression via Random Projection Weizhong Zhang, Lijun Zhang, Rong Jin, Deng Cai, Xiaofei He

IJCAI 2016 Expert Finding for Community-Based Question Answering via Ranking Metric Network Learning Zhou Zhao, Qifan Yang, Deng Cai, Xiaofei He, Yueting Zhuang

IJCAI 2016 Non-Negative Matrix Factorization with Sinkhorn Distance Wei Qian, Bin Hong, Deng Cai, Xiaofei He, Xuelong Li

IJCAI 2016 Weakly-Supervised Deep Learning for Customer Review Sentiment Classification Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai

IJCAI 2015 Compressed Spectral Regression for Efficient Nonlinear Dimensionality Reduction Deng Cai

AAAI 2014 Mapping Users Across Networks by Manifold Alignment on Hypergraph Shulong Tan, Ziyu Guan, Deng Cai, Xuzhen Qin, Jiajun Bu, Chun Chen

AAAI 2014 Sparse Learning for Stochastic Composite Optimization Weizhong Zhang, Lijun Zhang, Yao Hu, Rong Jin, Deng Cai, Xiaofei He

AAAI 2014 Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai

IJCAI 2013 A Unified Approximate Nearest Neighbor Search Scheme by Combining Data Structure and Hashing Debing Zhang, Genmao Yang, Yao Hu, Zhongming Jin, Deng Cai, Xiaofei He

IJCAI 2013 Active Learning Based on Local Representation Yao Hu, Debing Zhang, Zhongming Jin, Deng Cai, Xiaofei He

IJCAI 2013 Bilevel Visual Words Coding for Image Classification Jiemi Zhang, Chenxia Wu, Deng Cai, Jianke Zhu

ICCV 2013 Complementary Projection Hashing Zhongming Jin, Yao Hu, Yue Lin, Debing Zhang, Shiding Lin, Deng Cai, Xuelong Li

CVPR 2013 Compressed Hashing Yue Lin, Rong Jin, Deng Cai, Shuicheng Yan, Xuelong Li

IJCAI 2013 Harmonious Hashing Bin Xu, Jiajun Bu, Yue Lin, Chun Chen, Xiaofei He, Deng Cai

AAAI 2012 A Bregman Divergence Optimization Framework for Ranking on Data Manifold and Its New Extensions Bin Xu, Jiajun Bu, Chun Chen, Deng Cai

ECCV 2012 A Convolutional Treelets Binary Feature Approach to Fast Keypoint Recognition Chenxia Wu, Jianke Zhu, Jiemi Zhang, Chun Chen, Deng Cai

AAAI 2012 Document Summarization Based on Data Reconstruction Zhanying He, Chun Chen, Jiajun Bu, Can Wang, Lijun Zhang, Deng Cai, Xiaofei He

CVPR 2012 Metric Learning with Two-Dimensional Smoothness for Visual Analysis Xinlei Chen, Zifei Tong, Haifeng Liu, Deng Cai

AAAI 2012 Random Projection with Filtering for Nearly Duplicate Search Yue Lin, Rong Jin, Deng Cai, Xiaofei He

AAAI 2011 Large Scale Spectral Clustering with Landmark-Based Representation Xinlei Chen, Deng Cai

CVPR 2011 Sparse Concept Coding for Visual Analysis Deng Cai, Hujun Bao, Xiaofei He

AAAI 2010 Gaussian Mixture Model with Local Consistency Jialu Liu, Deng Cai, Xiaofei He

ICCV 2009 Active Subspace Learning Xiaofei He, Deng Cai

IJCAI 2009 Locality Preserving Nonnegative Matrix Factorization Deng Cai, Xiaofei He, Xuanhui Wang, Hujun Bao, Jiawei Han

ICML 2009 Probabilistic Dyadic Data Analysis with Local and Global Consistency Deng Cai, Xuanhui Wang, Xiaofei He

AAAI 2008 Sparse Projections over Graph Deng Cai, Xiaofei He, Jiawei Han

AAAI 2007 Isometric Projection Deng Cai, Xiaofei He, Jiawei Han

CVPR 2007 Learning a Spatially Smooth Subspace for Face Recognition Deng Cai, Xiaofei He, Yuxiao Hu, Jiawei Han, Thomas S. Huang

IJCAI 2007 Locality Sensitive Discriminant Analysis Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun Bao

ICCV 2007 Semi-Supervised Discriminant Analysis Deng Cai, Xiaofei He, Jiawei Han

ICCV 2007 Spectral Regression for Efficient Regularized Subspace Learning Deng Cai, Xiaofei He, Jiawei Han

NeurIPS 2005 Laplacian Score for Feature Selection Xiaofei He, Deng Cai, Partha Niyogi

ICCV 2005 Neighborhood Preserving Embedding Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zhang

ICML 2005 Statistical and Computational Analysis of Locality Preserving Projection Xiaofei He, Deng Cai, Wanli Min

NeurIPS 2005 Tensor Subspace Analysis Xiaofei He, Deng Cai, Partha Niyogi