Chang Xu - RankMe

480 papers A* 175A 3B 4Misc 4Journal 269Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ChatAD: Reasoning-Enhanced Time-Series Anomaly Detection with Multi-Turn Instruction Evolution. CoRR Hui Sun, Chang Xu, Haonan Xie, Hao Li, Yuhao Huang, Chuheng Zhang, Ming Jin, Xiaoguang Liu, Gang Wang, Jiang Bian
2026	J	`jnl`	Confidence Calibration under Ambiguous Ground Truth. CoRR Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2026	A*	`conf`	Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization. AAAI Zijian Wang, Yanxiang Ma, Chang Xu
2026	J	`jnl`	MMFormer: Multi-Modality semi-Supervised vision transformer in remote sensing imagery classification. Neural Networks Daixun Li, Weiying Xie, Leyuan Fang, Yunke Wang, Zirui Li, Mingxiang Cao, Jitao Ma, Yunsong Li, Chang Xu
2026	J	`jnl`	MobileManiBench: Simplifying Model Verification for Mobile Manipulation. CoRR Wenbo Wang, Fangyun Wei, Qixiu Li, Xi Chen, Yaobo Liang, Chang Xu, Jiaolong Yang, Baining Guo
2026	J	`jnl`	OATS: Online Data Augmentation for Time Series Foundation Models. CoRR Junwei Deng, Chang Xu, Jiaqi W. Ma, Ming Jin, Chenghao Liu, Jiang Bian
2026	J	`jnl`	PA-Attack: Guiding Gray-Box Attacks on LVLM Vision Encoders with Prototypes and Attention. CoRR Hefei Mei, Zirui Wang, Chang Xu, Jianyuan Guo, Minjing Dong
2026	J	`jnl`	Toward Effective Knowledge Distillation: Navigating Beyond Small-Data Pitfall. IEEE Trans. Pattern Anal. Mach. Intell. Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2025	J	`jnl`	AI Scaling: From Up to Down and Out. CoRR Yunke Wang, Yanxi Li, Chang Xu
2025	A	`conf`	Adaptive Training Meets Progressive Scaling: Elevating Efficiency in Diffusion Models. ICME Wenhao Li, Xiu Su, Yu Han, Shan You, Tao Huang, Chang Xu
2025	A*	`conf`	Adversarial Robustness via Deformable Convolution with Stochasticity. ICML Yanxiang Ma, Zixuan Huang, Minjing Dong, Shan You, Chang Xu
2025	J	`jnl`	Adversarially Robust Neural Architectures. IEEE Trans. Pattern Anal. Mach. Intell. Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
2025	J	`jnl`	Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation. CoRR Siyu Xu, Zijian Wang, Yunke Wang, Chenghao Xia, Tao Huang, Chang Xu
2025	A*	`conf`	Anti-Exposure Bias in Diffusion Models. ICLR Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2025	A*	`conf`	Beyond One-Hot Labels: Semantic Mixing for Model Calibration. ICML Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Beyond One-Hot Labels: Semantic Mixing for Model Calibration. CoRR Haoyang Luo, Linwei Tao, Minjing Dong, Chang Xu
2025	A*	`conf`	CaDGS: Modeling Inter-Gaussian Mutual Information for Dynamic Novel View Synthesis. ACM Multimedia Yunlong Zhao, Xiaoheng Deng, Zhuohua Qiu, Feng Yang, Chang Xu, Xiangjian He, Shan You, Xiu Su
2025	J	`jnl`	Calibrating Graph Neural Networks with Wavelet-Aware Temperature Scaling. CoRR Xiaoyang Li, Linwei Tao, Haohui Lu, Minjing Dong, Junbin Gao, Chang Xu
2025	J	`jnl`	Can Large Language Models Express Uncertainty Like Human? CoRR Linwei Tao, Yi-Fan Yeh, Bo Kai, Minjing Dong, Tao Huang, Tom A. Lamb, Jialin Yu, Philip H. S. Torr, Chang Xu
2025	J	`jnl`	Catching the Details: Self-Distilled RoI Predictors for Fine-Grained MLLM Perception. CoRR Yuheng Shi, Xiaohuan Pei, Minjing Dong, Chang Xu
2025	—	`conf`	CollagePrompt: A Benchmark for Budget-Friendly Visual Recognition with GPT-4V. NAACL (Findings) Siyu Xu, Yunke Wang, Daochang Liu, Bo Du, Chang Xu
2025	J	`jnl`	ConCM: Consistency-Driven Calibration and Matching for Few-Shot Class-Incremental Learning. CoRR Qinzhe Wang, Zixuan Chen, Keke Huang, Xiu Su, Chunhua Yang, Chang Xu
2025	J	`jnl`	DIST+: Knowledge Distillation From a Stronger Adaptive Teacher. IEEE Trans. Pattern Anal. Mach. Intell. Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
2025	J	`jnl`	DeCoP: Enhancing Self-Supervised Time Series Representation with Dependency Controlled Pre-training. CoRR Yuemin Wu, Zhongze Wu, Xiu Su, Feng Yang, Hongyan Xu, Xi Lin, Wenti Huang, Shan You, Chang Xu
2025	—	`conf`	DentEval: Fine-tuning-Free Expert-Aligned Assessment in Dental Education via LLM Agents. MICCAI (5) Xinyu Deng, Vesna Miletic, Elvis Trinh, Jinlong Gao, Chang Xu, Daochang Liu
2025	J	`jnl`	DiffAct++: Diffusion Action Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2025	A*	`conf`	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Models. ICLR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Do You Have Freestyle? Expressive Humanoid Locomotion via Audio Control. CoRR Zhe Li, Cheng Chi, Yangyang Wei, Boan Zhu, Tao Huang, Zhenguo Sun, Yibo Peng, Pengwei Wang, Zhongyuan Wang, Fangzhou Liu, Chang Xu, Shanghang Zhang
2025	A*	`conf`	Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. AAAI Hefei Mei, Minjing Dong, Chang Xu
2025	A*	`conf`	EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. AAAI Xiaohuan Pei, Tao Huang, Chang Xu
2025	J	`jnl`	Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization. CoRR Zijian Wang, Yanxiang Ma, Chang Xu
2025	J	`jnl`	Embodied Robot Manipulation in the Era of Foundation Models: Planning and Learning Perspectives. CoRR Shuanghao Bai, Wenxuan Song, Jiayi Chen, Yuheng Ji, Zhide Zhong, Jin Yang, Han Zhao, Wanqi Zhou, Zhe Li, Pengxiang Ding, Cheng Chi, Chang Xu, Xiaolong Zheng, Donglin Wang, Haoang Li, Shanghang Zhang, Badong Chen
2025	A*	`conf`	Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. CVPR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	J	`jnl`	Enhancing Privacy-Utility Trade-offs to Mitigate Memorization in Diffusion Models. CoRR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	J	`jnl`	EventTSF: Event-Aware Non-Stationary Time Series Forecasting. CoRR Yunfeng Ge, Ming Jin, Yiji Zhao, Hongyan Li, Bo Du, Chang Xu, Shirui Pan
2025	A*	`conf`	Exploring Local Memorization in Diffusion Models via Bright Ending Attention. ICLR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2025	—	`conf`	FairMoE: Decoupled Expert Learning for Unbiased Customized Face Generation. PRCV (6) Yu Han, Wenhao Li, Feng Yang, Shan You, Yi Chen, Chang Xu, Xiu Su
2025	A*	`conf`	Feature Clipping for Uncertainty Calibration. AAAI Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	FinMultiTime: A Four-Modal Bilingual Dataset for Financial Time-Series Analysis. CoRR Wenyan Xu, Dawei Xiang, Yue Liu, Xiyu Wang, Yanxiang Ma, Liang Zhang, Chang Xu, Jiaheng Zhang
2025	J	`jnl`	From Language to Locomotion: Retargeting-free Humanoid Control via Motion Latent Guidance. CoRR Zhe Li, Cheng Chi, Yangyang Wei, Boan Zhu, Yibo Peng, Tao Huang, Pengwei Wang, Zhongyuan Wang, Shanghang Zhang, Chang Xu
2025	J	`jnl`	Functional Abstraction of Knowledge Recall in Large Language Models. CoRR Zijian Wang, Chang Xu
2025	—	`conf`	FusionSAM: Visual Multi-Modal Learning with Segment Anything Model. KDD (2) Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Yusi Zhang, Leyuan Fang, Yunsong Li, Chang Xu
2025	J	`jnl`	Generative Physical AI in Vision: A Survey. CoRR Daochang Liu, Junyu Zhang, Anh-Dung Dinh, Eunbyung Park, Shichao Zhang, Chang Xu
2025	A*	`conf`	Graph Unlearning Meets Influence-aware Negative Preference Optimization. ACM Multimedia Qiang Chen, Zhongze Wu, Ang He, Xi Lin, Shuo Jiang, Shan You, Chang Xu, Yi Chen, Xiu Su
2025	J	`jnl`	Graph Unlearning Meets Influence-aware Negative Preference Optimization. CoRR Qiang Chen, Zhongze Wu, Ang He, Xi Lin, Shuo Jiang, Shan You, Chang Xu, Yi Chen, Xiu Su
2025	A*	`conf`	Identify, Isolate, and Purge: Mitigating Hallucinations in LVLMs via Self-Evolving Distillation. ACM Multimedia Wenhao Li, Xiu Su, Jingyi Wu, Feng Yang, Yang Liu, Yi Chen, Shan You, Chang Xu
2025	J	`jnl`	Large language models driven neural architecture search for universal and lightweight disease diagnosis on histopathology slide images. npj Digit. Medicine Xiu Su, Qinghua Mao, Zhongze Wu, Xi Lin, Shan You, Yue Liao, Chang Xu
2025	A*	`conf`	Learning Mask Invariant Mutual Information for Masked Image Modeling. ICLR Tao Huang, Yanxiang Ma, Shan You, Chang Xu
2025	J	`jnl`	Learning Mask Invariant Mutual Information for Masked Image Modeling. CoRR Tao Huang, Yanxiang Ma, Shan You, Chang Xu
2025	J	`jnl`	Low-Shot Video Object Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Kun Yan, Fangyun Wei, Shuyu Dai, Minghui Wu, Ping Wang, Chang Xu
2025	J	`jnl`	Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation. CoRR Laibin Chang, Yunke Wang, Jiaxing Huang, Longxiang Deng, Bo Du, Chang Xu
2025	A*	`conf`	Minimizing Labeled, Maximizing Unlabeled: An Image-Driven Approach for Video Instance Segmentation. CVPR Fangyun Wei, Jinjing Zhao, Kun Yan, Chang Xu
2025	J	`jnl`	Mitigating Object Hallucinations in Large Vision-Language Models via Attention Calibration. CoRR Younan Zhu, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Model Synthesis for Zero-Shot Model Attribution. IEEE Trans. Multim. Tianyun Yang, Danding Wang, Juan Cao, Chang Xu
2025	J	`jnl`	Modeling Multi-modal Cross-interaction for Multi-label Few-shot Image Classification Based on Local Feature Selection. ACM Trans. Multim. Comput. Commun. Appl. Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert
2025	J	`jnl`	Not All Tokens are Guided Equal: Improving Guidance in Visual Autoregressive Models. CoRR Ky Dan Nguyen, Hoang Lam Tran, Anh-Dung Dinh, Daochang Liu, Weidong Cai, Xiuying Wang, Chang Xu
2025	J	`jnl`	On Positive-Unlabeled Classification From Corrupted Data in GANs. IEEE Trans. Pattern Anal. Mach. Intell. Yunke Wang, Chang Xu, Tianyu Guo, Bo Du, Dacheng Tao
2025	J	`jnl`	Open-Vocabulary 3D Scene Segmentation via Dual-Modal Interaction. IEEE CAA J. Autom. Sinica Wuyang Luan, Lei Pan, Junhui Li, Yuan Zheng, Chang Xu
2025	—	`conf`	Position: AI Scaling: From Up to Down and Out. ICML (Position Papers) Yunke Wang, Yanxi Li, Chang Xu
2025	J	`jnl`	Rectangling and enhancing underwater stitched image via content-aware warping and perception balancing. Neural Networks Laibin Chang, Yunke Wang, Bo Du, Chang Xu
2025	A*	`conf`	Representative Guidance: Diffusion Model Sampling with Coherence. ICLR Anh-Dung Dinh, Daochang Liu, Chang Xu
2025	J	`jnl`	Rest2Visual: Predicting Visually Evoked fMRI from Resting-State Scans. CoRR Chuyang Zhou, Ziao Ji, Daochang Liu, Dongang Wang, Chenyu Wang, Chang Xu
2025	J	`jnl`	Rethinking Causal Mask Attention for Vision-Language Inference. CoRR Xiaohuan Pei, Tao Huang, Yanxiang Ma, Chang Xu
2025	J	`jnl`	Revisiting Uncertainty Estimation and Calibration of Large Language Models. CoRR Linwei Tao, Yi-Fan Yeh, Minjing Dong, Tao Huang, Philip Torr, Chang Xu
2025	J	`jnl`	RoboMirror: Understand Before You Imitate for Video to Humanoid Locomotion. CoRR Zhe Li, Cheng Chi, Boan Zhu, Yangyang Wei, Shuanghao Bai, Yuheng Ji, Yibo Peng, Tao Huang, Pengwei Wang, Zhongyuan Wang, S.-H. Gary Chan, Chang Xu, Shanghang Zhang
2025	J	`jnl`	Sample Margin-Aware Recalibration of Temperature Scaling. CoRR Haolan Guo, Linwei Tao, Haoyang Luo, Minjing Dong, Chang Xu
2025	J	`jnl`	Spatia: Video Generation with Updatable Spatial Memory. CoRR Jinjing Zhao, Fangyun Wei, Zhening Liu, Hongyang Zhang, Chang Xu, Yan Lu
2025	A*	`conf`	Stable Fair Graph Representation Learning with Lipschitz Constraint. ICML Qiang Chen, Zhongze Wu, Xiu Su, Xi Lin, Zhe Qu, Shan You, Shuo Yang, Chang Xu
2025	A*	`conf`	ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations. EMNLP Zijian Wang, Chang Xu
2025	J	`jnl`	ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations. CoRR Zijian Wang, Chang Xu
2025	J	`jnl`	ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic Reasoning. CoRR Zijian Wang, Chang Xu
2025	J	`jnl`	Towards a Unified Understanding of Robot Manipulation: A Comprehensive Survey. CoRR Shuanghao Bai, Wenxuan Song, Jiayi Chen, Yuheng Ji, Zhide Zhong, Jin Yang, Han Zhao, Wanqi Zhou, Wei Zhao, Zhe Li, Pengxiang Ding, Cheng Chi, Haoang Li, Chang Xu, Xiaolong Zheng, Donglin Wang, Shanghang Zhang, Badong Chen
2025	A*	`conf`	Uncertainty Weighted Gradients for Model Calibration. CVPR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	J	`jnl`	Uncertainty Weighted Gradients for Model Calibration. CoRR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2025	A*	`conf`	Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention. ICLR Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu
2025	A*	`conf`	UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. CVPR Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo
2025	J	`jnl`	VEAttack: Downstream-agnostic Vision Encoder Attack against Large Vision Language Models. CoRR Hefei Mei, Zirui Wang, Shen You, Minjing Dong, Chang Xu
2025	J	`jnl`	VLA-Cache: Towards Efficient Vision-Language-Action Model via Adaptive Token Caching in Robotic Manipulation. CoRR Siyu Xu, Yunke Wang, Chenghao Xia, Dihao Zhu, Tao Huang, Chang Xu
2025	A*	`conf`	WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration. AAAI Laibin Chang, Yunke Wang, Longxiang Deng, Bo Du, Chang Xu
2025	—	`conf`	Workshop on Sustainable AI for the Future Web. WWW (Companion Volume) Chang Xu, Yunke Wang, Jianyuan Guo, Daochang Liu, Minjing Dong, Yasmeen M. George, Johan Barthelemy, Yan Liu, Ling Chen
2024	A*	`conf`	A Benchmark Study on Calibration. ICLR Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2024	J	`jnl`	A Credential Usage Study: Flow-Aware Leakage Detection in Open-Source Projects. IEEE Trans. Inf. Forensics Secur. Ruidong Han, Huihui Gong, Siqi Ma, Juanru Li, Chang Xu, Elisa Bertino, Surya Nepal, Zhuo Ma, Jianfeng Ma
2024	A*	`conf`	A Large-Scale Human-Centric Benchmark for Referring Expression Comprehension in the LMM Era. NeurIPS Fangyun Wei, Jinjing Zhao, Kun Yan, Hongyang Zhang, Chang Xu
2024	A*	`conf`	AMD: Autoregressive Motion Diffusion. AAAI Bo Han, Hao Peng, Minjing Dong, Yi Ren, Yixuan Shen, Chang Xu
2024	—	`conf`	Active Generation for Image Classification. ECCV (48) Tao Huang, Jiaqi Liu, Shan You, Chang Xu
2024	J	`jnl`	Active Generation for Image Classification. CoRR Tao Huang, Jiaqi Liu, Shan You, Chang Xu
2024	—	`conf`	Adapt Without Forgetting: Distill Proximity from Dual Teachers in Vision-Language Models. ECCV (54) Mengyu Zheng, Yehui Tang, Zhiwei Hao, Kai Han, Yunhe Wang, Chang Xu
2024	J	`jnl`	Anti-Compression Contrastive Facial Forgery Detection. IEEE Trans. Multim. Jiajun Huang, Chengbin Du, Xinqi Zhu, Siqi Ma, Surya Nepal, Chang Xu
2024	Misc	`conf`	Beyond the Limit of Weight-Sharing: Pioneering Space-Evolving NAS with Large Language Models. ICASSP Xiu Su, Shan You, Hongyan Xu, Xiuxing Li, Jun Long, Yi Chen, Chang Xu
2024	A*	`conf`	Boosting Diffusion Models with an Adaptive Momentum Sampler. IJCAI Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
2024	A*	`conf`	Bridging Data Gaps in Diffusion Models with Adversarial Noise-Based Transfer Learning. ICML Xiyu Wang, Baijiong Lin, Daochang Liu, Ying-Cong Chen, Chang Xu
2024	J	`jnl`	Collage Prompting: Budget-Friendly Visual Recognition with GPT-4V. CoRR Siyu Xu, Yunke Wang, Daochang Liu, Chang Xu
2024	J	`jnl`	Compress Guidance in Conditional Diffusion Sampling. CoRR Anh-Dung Dinh, Daochang Liu, Chang Xu
2024	J	`jnl`	Consistency Calibration: Improving Uncertainty Calibration via Consistency among Perturbed Neighbors. CoRR Linwei Tao, Haolan Guo, Minjing Dong, Chang Xu
2024	J	`jnl`	Cross-Self KV Cache Pruning for Efficient Vision-Language Inference. CoRR Xiaohuan Pei, Tao Huang, Chang Xu
2024	A*	`conf`	Data-efficient Large Vision Models through Sequential Autoregression. ICML Zhiwei Hao, Jianyuan Guo, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024	J	`jnl`	Data-efficient Large Vision Models through Sequential Autoregression. CoRR Jianyuan Guo, Zhiwei Hao, Chengcheng Wang, Yehui Tang, Han Wu, Han Hu, Kai Han, Chang Xu
2024	A*	`conf`	Detecting Any instruction-to-answer interaction relationship: Universal Instruction-to-Answer Navigator for Med-VQA. ICML Zhongze Wu, Hongyan Xu, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu
2024	J	`jnl`	Diffusion Attribution Score: Evaluating Training Data Influence in Diffusion Model. CoRR Jinxu Lin, Linwei Tao, Minjing Dong, Chang Xu
2024	J	`jnl`	Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness. CoRR Hefei Mei, Minjing Dong, Chang Xu
2024	J	`jnl`	EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba. CoRR Xiaohuan Pei, Tao Huang, Chang Xu
2024	A*	`conf`	Enhancing Large Language Models through Adaptive Tokenizers. NeurIPS Mengyu Zheng, Hanting Chen, Tianyu Guo, Chong Zhu, Binfan Zheng, Chang Xu, Yunhe Wang
2024	J	`jnl`	Exploring Local Memorization in Diffusion Models via Bright Ending Attention. CoRR Chen Chen, Daochang Liu, Mubarak Shah, Chang Xu
2024	J	`jnl`	Feature Clipping for Uncertainty Calibration. CoRR Linwei Tao, Minjing Dong, Chang Xu
2024	J	`jnl`	FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation. CoRR Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Jiaqing Zhang, Yunsong Li, Leyuan Fang, Chang Xu
2024	A*	`conf`	GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. ICML Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
2024	J	`jnl`	GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer. CoRR Ding Jia, Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Chang Xu, Xinghao Chen
2024	J	`jnl`	GraphFusion: Integrating multi-level semantic information with graph computing for enhanced 3D instance segmentation. Neurocomputing Lei Pan, Wuyang Luan, Yuan Zheng, Junhui Li, Linwei Tao, Chang Xu
2024	J	`jnl`	Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation. CoRR Yuheng Shi, Minjing Dong, Chang Xu
2024	A*	`conf`	Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective. CVPR Jinjing Zhao, Fangyun Wei, Chang Xu
2024	B	`conf`	Image Anomaly Detection Based on Controllable Self-Augmentation. IJCNN Liujie Hua, Yichao Cao, Yitian Long, Shan You, Xiu Su, Jun Long, Yueyi Luo, Chang Xu
2024	A*	`conf`	Imitation Learning from Purified Demonstrations. ICML Yunke Wang, Minjing Dong, Yukun Zhao, Bo Du, Chang Xu
2024	J	`jnl`	Investigating Memorization in Video Diffusion Models. CoRR Chen Chen, Enhuai Liu, Daochang Liu, Mubarak Shah, Chang Xu
2024	—	`conf`	LocalMamba: Visual State Space Model with Windowed Selective Scan. ECCV Workshops (11) Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
2024	J	`jnl`	LocalMamba: Visual State Space Model with Windowed Selective Scan. CoRR Tao Huang, Xiaohuan Pei, Shan You, Fei Wang, Chen Qian, Chang Xu
2024	—	`conf`	Locating and Extracting Relational Concepts in Large Language Models. ACL (Findings) Zijian Wang, Britney White, Chang Xu
2024	J	`jnl`	Locating and Extracting Relational Concepts in Large Language Models. CoRR Zijian Wang, Britney White, Chang Xu
2024	J	`jnl`	Modelling Multi-modal Cross-interaction for ML-FSIC Based on Local Feature Selection. CoRR Kun Yan, Zied Bouraoui, Fangyun Wei, Chang Xu, Ping Wang, Shoaib Jameel, Steven Schockaert
2024	A*	`conf`	Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. NeurIPS Yuheng Shi, Minjing Dong, Chang Xu
2024	J	`jnl`	Multi-Scale VMamba: Hierarchy in Hierarchy Visual State Space Model. CoRR Yuheng Shi, Minjing Dong, Chang Xu
2024	J	`jnl`	Multi-tailed vision transformer for efficient inference. Neural Networks Yunke Wang, Bo Du, Wenyuan Wang, Chang Xu
2024	J	`jnl`	NeRF2Points: Large-Scale Point Cloud Generation From Street Views' Radiance Field Optimization. CoRR Peng Tu, Xun Zhou, Mingming Wang, Xiaojun Yang, Bo Peng, Ping Chen, Xiu Su, Yawen Huang, Yefeng Zheng, Chang Xu
2024	A*	`conf`	Neural Architecture Retrieval. ICLR Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
2024	J	`jnl`	Pruning for Robust Concept Erasing in Diffusion Models. CoRR Tianyun Yang, Juan Cao, Chang Xu
2024	J	`jnl`	RUN: Rethinking the UNet Architecture for Efficient Image Restoration. IEEE Trans. Multim. Zhijian Wu, Jun Li, Chang Xu, Dingjiang Huang, Steven C. H. Hoi
2024	A*	`conf`	Random Entangled Tokens for Adversarially Robust Vision Transformer. CVPR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2024	A*	`conf`	Residual Learning in Diffusion Models. CVPR Junyu Zhang, Daochang Liu, Eunbyung Park, Shichao Zhang, Chang Xu
2024	J	`jnl`	Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. IEEE Trans. Multim. Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2024	J	`jnl`	Surgical Triplet Recognition via Diffusion Model. CoRR Daochang Liu, Axel Hu, Mubarak Shah, Chang Xu
2024	Misc	`conf`	TCNAS: Transformer Architecture Evolving in Code Clone Detection. ICASSP Hongyan Xu, Xiaohuan Pei, Xiu Su, Shan You, Chang Xu
2024	A*	`conf`	Towards Memorization-Free Diffusion Models. CVPR Chen Chen, Daochang Liu, Chang Xu
2024	J	`jnl`	Towards Memorization-Free Diffusion Models. CoRR Chen Chen, Daochang Liu, Chang Xu
2024	—	`conf`	Training-Free Composite Scene Generation for Layout-to-Image Synthesis. ECCV (68) Jiaqi Liu, Tao Huang, Chang Xu
2024	J	`jnl`	Training-free Long Video Generation with Chain of Diffusion Model Experts. CoRR Wenhao Li, Yichao Cao, Xiu Su, Xi Lin, Shan You, Mingkai Zheng, Yi Chen, Chang Xu
2024	J	`jnl`	UniGraspTransformer: Simplified Policy Distillation for Scalable Dexterous Robotic Grasping. CoRR Wenbo Wang, Fangyun Wei, Lei Zhou, Xi Chen, Lin Luo, Xiaohan Yi, Yizhong Zhang, Yaobo Liang, Chang Xu, Yan Lu, Jiaolong Yang, Baining Guo
2024	J	`jnl`	VSSD: Vision Mamba with Non-Casual State Space Duality. CoRR Yuheng Shi, Minjing Dong, Mingjia Li, Chang Xu
2024	J	`jnl`	Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models. CoRR Jianyuan Guo, Hanting Chen, Chengcheng Wang, Kai Han, Chang Xu, Yunhe Wang
2024	J	`jnl`	Visual Imitation Learning with Calibrated Contrastive Representation. CoRR Yunke Wang, Linwei Tao, Bo Du, Yutian Lin, Chang Xu
2024	—	`conf`	Visual Prompting via Partial Optimal Transport. ECCV (35) Mengyu Zheng, Zhiwei Hao, Yehui Tang, Chang Xu
2024	J	`jnl`	Weak Augmentation Guided Relational Self-Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2023	J	`jnl`	A Benchmark Study on Calibration. CoRR Linwei Tao, Younan Zhu, Haolan Guo, Minjing Dong, Chang Xu
2023	J	`jnl`	AMD: Autoregressive Motion Diffusion. CoRR Bo Han, Hao Peng, Minjing Dong, Chang Xu, Yi Ren, Yixuan Shen, Yuheng Li
2023	J	`jnl`	Adversarial Recurrent Time Series Imputation. IEEE Trans. Neural Networks Learn. Syst. Shuo Yang, Minjing Dong, Yunhe Wang, Chang Xu
2023	A*	`conf`	Adversarial Robustness through Random Weight Sampling. NeurIPS Yanxiang Ma, Minjing Dong, Chang Xu
2023	A*	`conf`	Adversarial Robustness via Random Projection Filters. CVPR Minjing Dong, Chang Xu
2023	J	`jnl`	Anti-Compression Contrastive Facial Forgery Detection. CoRR Jiajun Huang, Xinqi Zhu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu
2023	A*	`conf`	Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. NeurIPS Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
2023	J	`jnl`	Beyond Pretrained Features: Noisy Image Modeling Provides Adversarial Defense. CoRR Zunzhi You, Daochang Liu, Bohyung Han, Chang Xu
2023	J	`jnl`	Bilinear Graph Networks for Visual Question Answering. IEEE Trans. Neural Networks Learn. Syst. Dalu Guo, Chang Xu, Dacheng Tao
2023	J	`jnl`	Boosting Diffusion Models with an Adaptive Momentum Sampler. CoRR Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu
2023	A*	`conf`	Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. AAAI Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu
2023	A*	`conf`	Calibrating a Deep Neural Network with Its Predecessors. IJCAI Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	J	`jnl`	Calibrating a Deep Neural Network with Its Predecessors. CoRR Linwei Tao, Minjing Dong, Daochang Liu, Changming Sun, Chang Xu
2023	J	`jnl`	Can GPT-4 Perform Neural Architecture Search? CoRR Mingkai Zheng, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu, Samuel Albanie
2023	J	`jnl`	CoNe: Contrast Your Neighbours for Supervised Image Classification. CoRR Mingkai Zheng, Shan You, Lang Huang, Xiu Su, Fei Wang, Chen Qian, Xiaogang Wang, Chang Xu
2023	A*	`conf`	ContraFeat: Contrasting Deep Features for Semantic Discovery. AAAI Xinqi Zhu, Chang Xu, Dacheng Tao
2023	A*	`conf`	Contrastive Sampling Chains in Diffusion Models. NeurIPS Junyu Zhang, Daochang Liu, Shichao Zhang, Chang Xu
2023	A*	`conf`	Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. NeurIPS Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Xiaobo Lu, Chang Xu
2023	J	`jnl`	Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models. CoRR Yichao Cao, Qingfei Tang, Xiu Su, Chen Song, Shan You, Xiaobo Lu, Chang Xu
2023	A*	`conf`	DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. ICDM Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu
2023	J	`jnl`	DiffNAS: Bootstrapping Diffusion Models by Prompting for Better Architectures. CoRR Wenhao Li, Xiu Su, Shan You, Fei Wang, Chen Qian, Chang Xu
2023	A*	`conf`	Diffusion Action Segmentation. ICCV Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2023	J	`jnl`	Diffusion Action Segmentation. CoRR Daochang Liu, Qiyue Li, AnhDung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu
2023	A*	`conf`	Dual Focal Loss for Calibration. ICML Linwei Tao, Minjing Dong, Chang Xu
2023	J	`jnl`	Dual Focal Loss for Calibration. CoRR Linwei Tao, Minjing Dong, Chang Xu
2023	J	`jnl`	Efficient Transfer Learning in Diffusion Models via Adversarial Noise. CoRR Xiyu Wang, Baijiong Lin, Daochang Liu, Chang Xu
2023	J	`jnl`	Fingerprints of Generative Models in the Frequency Domain. CoRR Tianyun Yang, Juan Cao, Danding Wang, Chang Xu
2023	J	`jnl`	GPT Self-Supervision for a Better Data Annotator. CoRR Xiaohuan Pei, Yanxi Li, Chang Xu
2023	J	`jnl`	Imitation Learning from Purified Demonstration. CoRR Yunke Wang, Minjing Dong, Bo Du, Chang Xu
2023	J	`jnl`	Improving Lightweight AdderNet via Distillation From ℓ IEEE Trans. Image Process. Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
2023	A*	`conf`	Knowledge Diffusion for Distillation. NeurIPS Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
2023	J	`jnl`	Knowledge Diffusion for Distillation. CoRR Tao Huang, Yuan Zhang, Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Chang Xu
2023	J	`jnl`	Learning Degradation-Robust Spatiotemporal Frequency-Transformer for Video Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
2023	J	`jnl`	Learning Structure-Guided Diffusion Model for 2D Human Pose Estimation. CoRR Zhongwei Qiu, Qiansheng Yang, Jian Wang, Xiyu Wang, Chang Xu, Dongmei Fu, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
2023	J	`jnl`	MM-NeRF: Multimodal-Guided 3D Multi-Style Transfer of Neural Radiance Field. CoRR Zijiang Yang, Zhongwei Qiu, Chang Xu, Dongmei Fu
2023	A*	`conf`	Masked Distillation with Receptive Tokens. ICLR Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
2023	B	`conf`	MultiDrop: A Local Rademacher Complexity-Based Regularization for Multitask Models. IJCNN Ziqing Lu, Chang Xu, Bo Du
2023	J	`jnl`	Neural Architecture Retrieval. CoRR Xiaohuan Pei, Yanxi Li, Minjing Dong, Chang Xu
2023	A*	`conf`	Neural Architecture Search for Wide Spectrum Adversarial Robustness. AAAI Zhi Cheng, Yanxi Li, Minjing Dong, Xiu Su, Shan You, Chang Xu
2023	J	`jnl`	Neural Architecture Search via Proxy Validation. IEEE Trans. Pattern Anal. Mach. Intell. Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
2023	J	`jnl`	Not All Steps are Equal: Efficient Generation with Progressive Diffusion Models. CoRR Wenhao Li, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Chang Xu
2023	A*	`conf`	One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. NeurIPS Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023	J	`jnl`	One-for-All: Bridge the Gap Between Heterogeneous Architectures in Knowledge Distillation. CoRR Zhiwei Hao, Jianyuan Guo, Kai Han, Yehui Tang, Han Hu, Yunhe Wang, Chang Xu
2023	A*	`conf`	PSVT: End-to-End Multi-Person 3D Pose and Shape Estimation with Progressive Video Transformers. CVPR Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang
2023	J	`jnl`	PSVT: End-to-End Multi-person 3D Pose and Shape Estimation with Progressive Video Transformers. CoRR Zhongwei Qiu, Qiansheng Yang, Jian Wang, Haocheng Feng, Junyu Han, Errui Ding, Chang Xu, Dongmei Fu, Jingdong Wang
2023	J	`jnl`	Parameter-Saving Adversarial Training: Reinforcing Multi-Perturbation Robustness via Hypernetworks. CoRR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2023	A*	`conf`	Personalized Image Generation for Color Vision Deficiency Population. ICCV Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu
2023	A*	`conf`	PixelAsParam: A Gradient View on Diffusion Sampling with Guidance. ICML AnhDung Dinh, Daochang Liu, Chang Xu
2023	A*	`conf`	Private Image Generation with Dual-Purpose Auxiliary Classifier. CVPR Chen Chen, Daochang Liu, Siqi Ma, Surya Nepal, Chang Xu
2023	A*	`conf`	Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. ICCV Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu
2023	J	`jnl`	Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. CoRR Yichao Cao, Xiu Su, Qingfei Tang, Feng Yang, Shan You, Xiaobo Lu, Chang Xu
2023	A*	`conf`	Rethinking Conditional Diffusion Sampling with Progressive Guidance. NeurIPS Anh-Dung Dinh, Daochang Liu, Chang Xu
2023	A*	`conf`	Revisit the Power of Vanilla Knowledge Distillation: from Small Scale to Large Scale. NeurIPS Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2023	J	`jnl`	SFHN: Spatial-Frequency Domain Hybrid Network for Image Super-Resolution. IEEE Trans. Circuits Syst. Video Technol. Zhijian Wu, Wenhui Liu, Jun Li, Chang Xu, Dingjiang Huang
2023	J	`jnl`	Searching for Network Width With Bilaterally Coupled Network. IEEE Trans. Pattern Anal. Mach. Intell. Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2023	A*	`conf`	SimMatchV2: Semi-Supervised Learning with Graph Consistency. ICCV Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
2023	J	`jnl`	SimMatchV2: Semi-Supervised Learning with Graph Consistency. CoRR Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu
2023	J	`jnl`	Skeleton-Based Human Motion Prediction With Privileged Supervision. IEEE Trans. Neural Networks Learn. Syst. Minjing Dong, Chang Xu
2023	A*	`conf`	Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. ICCV Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu
2023	A*	`conf`	Stable Diffusion is Unstable. NeurIPS Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
2023	J	`jnl`	Stable Diffusion is Unstable. CoRR Chengbin Du, Yanxi Li, Zhongwei Qiu, Chang Xu
2023	J	`jnl`	Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization. CoRR Huihui Gong, Minjing Dong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2023	A*	`conf`	Trade-off between Robustness and Accuracy of Vision Transformers. CVPR Yanxi Li, Chang Xu
2023	J	`jnl`	Two-in-one Knowledge Distillation for Efficient Facial Forgery Detection. CoRR Chuyang Zhou, Jiajun Huang, Daochang Liu, Chengbin Du, Siqi Ma, Surya Nepal, Chang Xu
2023	A*	`conf`	Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. AAAI Yunke Wang, Bo Du, Chang Xu
2023	J	`jnl`	Unlabeled Imperfect Demonstrations in Adversarial Imitation Learning. CoRR Yunke Wang, Bo Du, Chang Xu
2023	J	`jnl`	VanillaKD: Revisit the Power of Vanilla Knowledge Distillation from Small Scale to Large Scale. CoRR Zhiwei Hao, Jianyuan Guo, Kai Han, Han Hu, Chang Xu, Yunhe Wang
2023	A*	`conf`	What Can Simple Arithmetic Operations Do for Temporal Modeling? ICCV Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang
2023	J	`jnl`	What Can Simple Arithmetic Operations Do for Temporal Modeling? CoRR Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang
2022	A*	`conf`	An Image Patch is a Wave: Phase-Aware Vision MLP. CVPR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
2022	J	`jnl`	Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations. CoRR Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chang Xu
2022	A*	`conf`	CMT: Convolutional Neural Networks Meet Vision Transformers. CVPR Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu
2022	J	`jnl`	ContraFeat: Contrasting Deep Features for Semantic Discovery. CoRR Xinqi Zhu, Chang Xu, Dacheng Tao
2022	A*	`conf`	Contrastive Code-Comment Pre-training. ICDM Xiaohuan Pei, Daochang Liu, Luo Qian, Chang Xu
2022	Misc	`conf`	Data Agnostic Filter Gating For Efficient Deep Networks. ICASSP Hongyan Xu, Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu, Dadong Wang, Arcot Sowmya
2022	A*	`conf`	DeepFake Disrupter: The Detector of DeepFake Is My Friend. CVPR Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu
2022	A*	`conf`	DyRep: Bootstrapping Training with Dynamic Re-parameterization. CVPR Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	DyRep: Bootstrapping Training with Dynamic Re-parameterization. CoRR Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	FastMIM: Expediting Masked Image Modeling Pre-training for Vision. CoRR Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Yunhe Wang, Chang Xu
2022	A*	`conf`	GhostNetV2: Enhance Cheap Operation with Long-Range Attention. NeurIPS Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
2022	J	`jnl`	GhostNetV2: Enhance Cheap Operation with Long-Range Attention. CoRR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Chao Xu, Yunhe Wang
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. CoRR Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	J	`jnl`	GhostNets on Heterogeneous Devices via Cheap Operations. Int. J. Comput. Vis. Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chunjing Xu, Enhua Wu, Qi Tian
2022	A*	`conf`	GreedyNASv2: Greedier Search with a Greedy Path Filter. CVPR Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2022	A*	`conf`	Hire-MLP: Vision MLP via Hierarchical Rearrangement. CVPR Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
2022	A*	`conf`	Knowledge Distillation from A Stronger Teacher. NeurIPS Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	Knowledge Distillation from A Stronger Teacher. CoRR Tao Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	Learning Spatiotemporal Frequency-Transformer for Low-Quality Video Super-Resolution. CoRR Zhongwei Qiu, Huan Yang, Jianlong Fu, Daochang Liu, Chang Xu, Dongmei Fu
2022	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2022	J	`jnl`	LightViT: Towards Light-Weight Convolution-Free Vision Transformers. CoRR Tao Huang, Lang Huang, Shan You, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	LocalDrop: A Hybrid Regularization for Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama
2022	J	`jnl`	Masked Distillation with Receptive Tokens. CoRR Tao Huang, Yuan Zhang, Shan You, Fei Wang, Chen Qian, Jian Cao, Chang Xu
2022	J	`jnl`	Multi-Tailed Vision Transformer for Efficient Inference. CoRR Yunke Wang, Bo Du, Chang Xu
2022	J	`jnl`	Neural architecture tuning with policy adaptation. Neurocomputing Yanxi Li, Minjing Dong, Yixing Xu, Yunhe Wang, Chang Xu
2022	—	`conf`	One Size Does NOT Fit All: Data-Adaptive Adversarial Training. ECCV (5) Shuo Yang, Chang Xu
2022	J	`jnl`	Optimizing Latent Distributions for Non-Adversarial Generative Networks. IEEE Trans. Pattern Anal. Mach. Intell. Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
2022	A*	`conf`	Patch Slimming for Efficient Vision Transformers. CVPR Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
2022	A*	`conf`	Random Normalization Aggregation for Adversarial Defense. NeurIPS Minjing Dong, Xinghao Chen, Yunhe Wang, Chang Xu
2022	J	`jnl`	Relational Self-Supervised Learning. CoRR Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2022	A*	`conf`	Relational Surrogate Loss Learning. ICLR Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
2022	J	`jnl`	Relational Surrogate Loss Learning. CoRR Tao Huang, Zekang Li, Hua Lu, Yong Shan, Shusheng Yang, Yang Feng, Fei Wang, Shan You, Chang Xu
2022	A*	`conf`	Searching for Better Spatio-temporal Alignment in Few-Shot Action Recognition. NeurIPS Yichao Cao, Xiu Su, Qingfei Tang, Shan You, Xiaobo Lu, Chang Xu
2022	J	`jnl`	Searching for Network Width with Bilaterally Coupled Network. CoRR Xiu Su, Shan You, Jiyang Xie, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2022	A*	`conf`	Self-Attention Gated Cognitive Diagnosis For Faster Adaptive Educational Assessments. ICDM Xiaohuan Pei, Shuo Yang, Jiajun Huang, Chang Xu
2022	A*	`conf`	SimMatch: Semi-supervised Learning with Similarity Matching. CVPR Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
2022	J	`jnl`	SimMatch: Semi-supervised Learning with Similarity Matching. CoRR Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu
2022	A*	`conf`	Spatial-Channel Token Distillation for Vision MLPs. ICML Yanxi Li, Xinghao Chen, Minjing Dong, Yehui Tang, Yunhe Wang, Chang Xu
2022	A*	`conf`	Sufficient Vision Transformer. KDD Zhi Cheng, Xiu Su, Xueyu Wang, Shan You, Chang Xu
2022	J	`jnl`	TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization With Few Labeled Samples. IEEE Trans. Circuits Syst. Video Technol. Huaxi Huang, Junjie Zhang, Litao Yu, Jian Zhang, Qiang Wu, Chang Xu
2022	J	`jnl`	V-SVR+: Support Vector Regression With Variational Privileged Information. IEEE Trans. Multim. Yangyang Shu, Qian Li, Chang Xu, Shaowu Liu, Guandong Xu
2022	—	`conf`	ViTAS: Vision Transformer Architecture Search. ECCV (21) Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiao-Gang Wang, Chang Xu
2022	B	`conf`	Vulnerability Detection Using Deep Learning Based Function Classification. NSS Huihui Gong, Siqi Ma, Seyit Camtepe, Surya Nepal, Chang Xu
2021	J	`jnl`	Adder Neural Networks. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Chunjing Xu, Tong Zhang
2021	A*	`conf`	AdderSR: Towards Energy Efficient Image Super-Resolution. CVPR Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
2021	A*	`conf`	Adversarial Robustness through Disentangled Representations. AAAI Shuo Yang, Tianyu Guo, Yunhe Wang, Chang Xu
2021	A*	`conf`	An Empirical Study of Adder Neural Networks for Object Detection. NeurIPS Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	An Empirical Study of Adder Neural Networks for Object Detection. CoRR Xinghao Chen, Chang Xu, Minjing Dong, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	An Image Patch is a Wave: Phase-Aware Vision MLP. CoRR Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang
2021	A*	`conf`	Augmented Shortcuts for Vision Transformers. NeurIPS Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
2021	J	`jnl`	Augmented Shortcuts for Vision Transformers. CoRR Yehui Tang, Kai Han, Chang Xu, An Xiao, Yiping Deng, Chao Xu, Yunhe Wang
2021	A*	`conf`	BCNet: Searching for Network Width With Bilaterally Coupled Network. CVPR Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	J	`jnl`	BCNet: Searching for Network Width with Bilaterally Coupled Network. CoRR Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	J	`jnl`	CMT: Convolutional Neural Networks Meet Vision Transformers. CoRR Jianyuan Guo, Kai Han, Han Wu, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Commutative Lie Group VAE for Disentanglement Learning. ICML Xinqi Zhu, Chang Xu, Dacheng Tao
2021	J	`jnl`	Commutative Lie Group VAE for Disentanglement Learning. CoRR Xinqi Zhu, Chang Xu, Dacheng Tao
2021	—	`conf`	DeepFake MNIST+: A DeepFake Facial Animation Dataset. ICCVW Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu
2021	J	`jnl`	DeepFake MNIST+: A DeepFake Facial Animation Dataset. CoRR Jiajun Huang, Xueyu Wang, Bo Du, Pei Du, Chang Xu
2021	A*	`conf`	Distilling Object Detectors via Decoupled Features. CVPR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	J	`jnl`	Distilling Object Detectors via Decoupled Features. CoRR Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu
2021	J	`jnl`	GreedyNASv2: Greedier Search with a Greedy Path Filter. CoRR Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	A*	`conf`	Handling Long-tailed Feature Distribution in AdderNets. NeurIPS Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
2021	J	`jnl`	Hire-MLP: Vision MLP via Hierarchical Rearrangement. CoRR Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang
2021	A*	`conf`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CVPR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2021	A*	`conf`	K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. ICML Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	J	`jnl`	K-shot NAS: Learnable Weight-Sharing for NAS with K-shot Supernets. CoRR Xiu Su, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	A*	`conf`	Learning Frequency Domain Approximation for Binary Neural Networks. NeurIPS Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	J	`jnl`	Learning Frequency Domain Approximation for Binary Neural Networks. CoRR Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, Yunhe Wang
2021	A*	`conf`	Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. ICCV Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
2021	J	`jnl`	Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. CoRR Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang
2021	A*	`conf`	Learning Student Networks in the Wild. CVPR Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang
2021	J	`jnl`	Learning Student Networks via Feature Embedding. IEEE Trans. Neural Networks Learn. Syst. Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2021	J	`jnl`	Learning Versatile Convolution Filters for Efficient Visual Recognition. CoRR Kai Han, Yunhe Wang, Chang Xu, Chunjing Xu, Enhua Wu, Dacheng Tao
2021	A*	`conf`	Learning to Weight Imperfect Demonstrations. ICML Yunke Wang, Chang Xu, Bo Du, Honglak Lee
2021	J	`jnl`	Learning to reweight examples in multi-label classification. Neural Networks Yongjian Zhong, Bo Du, Chang Xu
2021	J	`jnl`	LocalDrop: A Hybrid Regularization for Deep Neural Networks. CoRR Ziqing Lu, Chang Xu, Bo Du, Takashi Ishida, Lefei Zhang, Masashi Sugiyama
2021	A*	`conf`	Locally Free Weight Sharing for Network Width Search. ICLR Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	J	`jnl`	Locally Free Weight Sharing for Network Width Search. CoRR Xiu Su, Shan You, Tao Huang, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	A*	`conf`	Manifold Regularized Dynamic Network Pruning. CVPR Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
2021	J	`jnl`	Manifold Regularized Dynamic Network Pruning. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu
2021	A*	`conf`	Neural Architecture Dilation for Adversarial Robustness. NeurIPS Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu
2021	J	`jnl`	Neural Architecture Dilation for Adversarial Robustness. CoRR Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu
2021	A*	`conf`	One-shot Graph Neural Architecture Search with Dynamic Search Space. AAAI Yanxi Li, Zean Wen, Yunhe Wang, Chang Xu
2021	J	`jnl`	Open-Set Hypothesis Transfer With Semantic Consistency. IEEE Trans. Image Process. Zeyu Feng, Chang Xu, Dacheng Tao
2021	A*	`conf`	PLP 2021: Workshop on Programming Language Processing. KDD Chang Xu, Siqi Ma, David Lo
2021	A*	`conf`	PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. AAAI Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu
2021	J	`jnl`	Patch Slimming for Efficient Vision Transformers. CoRR Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao
2021	A*	`conf`	Positive-Unlabeled Data Purification in the Wild for Object Detection. CVPR Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang
2021	A*	`conf`	Pre-Trained Image Processing Transformer. CVPR Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2021	A*	`conf`	Prioritized Architecture Sampling With Monto-Carlo Tree Search. CVPR Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	J	`jnl`	Prioritized Architecture Sampling with Monto-Carlo Tree Search. CoRR Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2021	A*	`conf`	ReNAS: Relativistic Evaluation of Neural Architecture Search. CVPR Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu
2021	A*	`conf`	ReSSL: Relational Self-Supervised Learning with Weak Augmentation. NeurIPS Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	J	`jnl`	ReSSL: Relational Self-Supervised Learning with Weak Augmentation. CoRR Mingkai Zheng, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	A*	`conf`	Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations. IJCAI Yunke Wang, Chang Xu, Bo Du
2021	A*	`conf`	Structure-Aware Stabilization of Adversarial Robustness with Massive Contrastive Adversaries. ICDM Shuo Yang, Zeyu Feng, Pei Du, Bo Du, Chang Xu
2021	A*	`conf`	Towards Stable and Robust AdderNets. NeurIPS Minjing Dong, Yunhe Wang, Xinghao Chen, Chang Xu
2021	J	`jnl`	Vision Transformer Architecture Search. CoRR Xiu Su, Shan You, Jiyang Xie, Mingkai Zheng, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	A*	`conf`	Weakly Supervised Contrastive Learning. ICCV Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	J	`jnl`	Weakly Supervised Contrastive Learning. CoRR Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu
2021	A*	`conf`	Where and What? Examining Interpretable Disentangled Representations. CVPR Xinqi Zhu, Chang Xu, Dacheng Tao
2021	J	`jnl`	Where and What? Examining Interpretable Disentangled Representations. CoRR Xinqi Zhu, Chang Xu, Dacheng Tao
2021	A*	`conf`	Workshop on Model Mining. KDD Shan You, Chang Xu, Fei Wang, Changshui Zhang
2020	A*	`conf`	A Semi-Supervised Assessor of Neural Architectures. CVPR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	J	`jnl`	A Semi-Supervised Assessor of Neural Architectures. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	A*	`conf`	Adapting Neural Architectures Between Domains. NeurIPS Yanxi Li, Zhaohui Yang, Yunhe Wang, Chang Xu
2020	A*	`conf`	AdderNet: Do We Really Need Multiplications in Deep Learning? CVPR Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	J	`jnl`	AdderSR: Towards Energy Efficient Image Super-Resolution. CoRR Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao
2020	J	`jnl`	Adversarially Robust Neural Architectures. CoRR Minjing Dong, Yanxi Li, Yunhe Wang, Chang Xu
2020	J	`jnl`	An innovative multi-label learning based algorithm for city data computing. GeoInformatica Mengqing Mei, Yongjian Zhong, Fazhi He, Chang Xu
2020	J	`jnl`	Approximated Bilinear Modules for Temporal Modeling. CoRR Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao
2020	—	`conf`	Assessing Social License to Operate from the Public Discourse on Social Media. COLING (Industry) Chang Xu, Cécile Paris, Ross Sparks, Surya Nepal, Keith Vander Linden
2020	A*	`conf`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. AAAI Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Beyond Dropout: Feature Map Distortion to Regularize Deep Neural Networks. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, Chang Xu
2020	A*	`conf`	CARS: Continuous Evolution for Efficient Neural Architecture Search. CVPR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2020	A*	`conf`	Context Aware Graph Convolution for Skeleton-Based Action Recognition. CVPR Xikun Zhang, Chang Xu, Dacheng Tao
2020	A	`conf`	DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. ECAI Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang
2020	J	`jnl`	DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains. CoRR Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks, Chong Long, Yafang Wang
2020	J	`jnl`	Data Agnostic Filter Gating for Efficient Deep Networks. CoRR Xiu Su, Shan You, Tao Huang, Hongyan Xu, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu
2020	J	`jnl`	Discernible Compressed Images via Deep Perception Consistency. CoRR Zhaohui Yang, Yunhe Wang, Chao Xu, Chang Xu
2020	A*	`conf`	Discernible Image Compression. ACM Multimedia Zhaohui Yang, Yunhe Wang, Chang Xu, Peng Du, Chao Xu, Chunjing Xu, Qi Tian
2020	J	`jnl`	Discriminative Multi-View Privileged Information Learning for Image Re-Ranking. IEEE Trans. Image Process. Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Jianhua Xu, Hong Zhang
2020	A*	`conf`	Distilling Portable Generative Adversarial Networks for Image Translation. AAAI Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020	J	`jnl`	Distilling portable Generative Adversarial Networks for Image Translation. CoRR Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2020	A*	`conf`	Efficient Residual Dense Block Search for Image Super-Resolution. AAAI Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang
2020	A*	`conf`	Frequency Domain Compact 3D Convolutional Neural Networks. CVPR Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2020	A*	`conf`	GhostNet: More Features From Cheap Operations. CVPR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2020	J	`jnl`	Graph Edge Convolutional Neural Networks for Skeleton-Based Action Recognition. IEEE Trans. Neural Networks Learn. Syst. Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao
2020	A*	`conf`	Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CVPR Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
2020	J	`jnl`	Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection. CoRR Jianyuan Guo, Kai Han, Yunhe Wang, Chao Zhang, Zhaohui Yang, Han Wu, Xinghao Chen, Chang Xu
2020	J	`jnl`	HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. CoRR Zhaohui Yang, Yunhe Wang, Dacheng Tao, Xinghao Chen, Jianyuan Guo, Chunjing Xu, Chao Xu, Chang Xu
2020	J	`jnl`	Iterative Privileged Learning. IEEE Trans. Neural Networks Learn. Syst. Xue Li, Bo Du, Yipeng Zhang, Chang Xu, Dacheng Tao
2020	J	`jnl`	Joint hyperspectral unmixing for urban computing. GeoInformatica Jihai Yang, Mingmei Jia, Chang Xu, Shijun Li
2020	A*	`conf`	Kernel Based Progressive Distillation for Adder Neural Networks. NeurIPS Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	J	`jnl`	Kernel Based Progressive Distillation for Adder Neural Networks. CoRR Yixing Xu, Chang Xu, Xinghao Chen, Wei Zhang, Chunjing Xu, Yunhe Wang
2020	—	`conf`	Learning Disentangled Representations with Latent Variation Predictability. ECCV (10) Xinqi Zhu, Chang Xu, Dacheng Tao
2020	J	`jnl`	Learning Disentangled Representations with Latent Variation Predictability. CoRR Xinqi Zhu, Chang Xu, Dacheng Tao
2020	A*	`conf`	Learning Student Networks with Few Data. AAAI Shumin Kong, Tianyu Guo, Shan You, Chang Xu
2020	J	`jnl`	Long-Term Video Prediction via Criticization and Retrospection. IEEE Trans. Image Process. Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao
2020	J	`jnl`	Multi-Task Pruning for Semantic Segmentation Networks. CoRR Xinghao Chen, Yunhe Wang, Yiman Zhang, Peng Du, Chunjing Xu, Chang Xu
2020	A*	`conf`	Neural Architecture Search in A Proxy Validation Loss Landscape. ICML Yanxi Li, Minjing Dong, Yunhe Wang, Chang Xu
2020	A*	`conf`	Neuromorphic Camera Guided High Dynamic Range Imaging. CVPR Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi
2020	—	`conf`	On Dropping Clusters to Regularize Graph Convolutional Neural Networks. ECCV (21) Xikun Zhang, Chang Xu, Dacheng Tao
2020	A*	`conf`	On Positive-Unlabeled Classification in GAN. CVPR Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao
2020	J	`jnl`	On Positive-Unlabeled Classification in GAN. CoRR Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, Dacheng Tao
2020	J	`jnl`	Open-Set Hypothesis Transfer with Semantic Consistency. CoRR Zeyu Feng, Chang Xu, Dacheng Tao
2020	—	`conf`	Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. ECCV (6) Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
2020	J	`jnl`	Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer. CoRR Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing Xu, Chang Xu
2020	J	`jnl`	PTN: A Poisson Transfer Network for Semi-supervised Few-shot Learning. CoRR Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu
2020	J	`jnl`	Pre-Trained Image Processing Transformer. CoRR Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao
2020	A*	`conf`	Reborn Filters: Pruning Convolutional Neural Networks with Limited Data. AAAI Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, Changshui Zhang
2020	J	`jnl`	Robust Student Network Learning. IEEE Trans. Neural Networks Learn. Syst. Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao
2020	J	`jnl`	Robust learning with imperfect privileged information. Artif. Intell. Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao
2020	A*	`conf`	SCOP: Scientific Control for Reliable Neural Network Pruning. NeurIPS Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	J	`jnl`	SCOP: Scientific Control for Reliable Neural Network Pruning. CoRR Yehui Tang, Yunhe Wang, Yixing Xu, Dacheng Tao, Chunjing Xu, Chao Xu, Chang Xu
2020	A*	`conf`	Searching for Low-Bit Weights in Quantized Neural Networks. NeurIPS Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	J	`jnl`	Searching for Low-Bit Weights in Quantized Neural Networks. CoRR Zhaohui Yang, Yunhe Wang, Kai Han, Chunjing Xu, Chao Xu, Dacheng Tao, Chang Xu
2020	J	`jnl`	Self-Supervised Pose Adaptation for Cross-Domain Image Animation. IEEE Trans. Artif. Intell. Chaoyue Wang, Chang Xu, Dacheng Tao
2020	J	`jnl`	TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples. CoRR Huaxi Huang, Junjie Zhang, Jian Zhang, Qiang Wu, Chang Xu
2020	A*	`conf`	Training Binary Neural Networks through Learning with Noisy Supervision. ICML Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	J	`jnl`	Training Binary Neural Networks through Learning with Noisy Supervision. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Enhua Wu, Chang Xu
2020	A*	`conf`	UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging. NeurIPS Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, Boxin Shi
2019	J	`jnl`	AdderNet: Do We Really Need Multiplications in Deep Learning? CoRR Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, Chang Xu
2019	Misc	`conf`	Adversarial Watermarking to Attack Deep Neural Networks. ICASSP Gengxing Wang, Xinyuan Chen, Chang Xu
2019	A*	`conf`	Approximated Bilinear Modules for Temporal Modeling. ICCV Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao
2019	A*	`conf`	Attribute Aware Pooling for Pedestrian Attribute Recognition. IJCAI Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Attribute Aware Pooling for Pedestrian Attribute Recognition. CoRR Kai Han, Yunhe Wang, Han Shu, Chuanjian Liu, Chunjing Xu, Chang Xu
2019	J	`jnl`	Balanced Binary Neural Networks with Gated Residual. CoRR Mingzhu Shen, Xianglong Liu, Kai Han, Ruihao Gong, Yunhe Wang, Chang Xu
2019	J	`jnl`	Bringing Giant Neural Networks Down to Earth with Unlabeled Data. CoRR Yehui Tang, Shan You, Chang Xu, Boxin Shi, Chao Xu
2019	J	`jnl`	CARS: Continuous Evolution for Efficient Neural Architecture Search. CoRR Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, Chang Xu
2019	A*	`conf`	Co-Evolutionary Compression for Unpaired Image Translation. ICCV Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	Co-Evolutionary Compression for Unpaired Image Translation. CoRR Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	Cost-Sensitive Feature Selection by Optimizing F-Measures. CoRR Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2019	A*	`conf`	Crafting Efficient Neural Graph of Large Entropy. IJCAI Minjing Dong, Hanting Chen, Yunhe Wang, Chang Xu
2019	A*	`conf`	Data-Free Learning of Student Networks. ICCV Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	J	`jnl`	Data-Free Learning of Student Networks. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu, Boxin Shi, Chunjing Xu, Chao Xu, Qi Tian
2019	A*	`conf`	Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. AAAI Mike Li, Elija Perrier, Chang Xu
2019	J	`jnl`	Efficient Residual Dense Block Search for Image Super-Resolution. CoRR Dehua Song, Chang Xu, Xu Jia, Yiyi Chen, Chunjing Xu, Yunhe Wang
2019	J	`jnl`	Enhancing the Robustness of Neural Collaborative Filtering Systems Under Malicious Attacks. IEEE Trans. Multim. Yali Du, Meng Fang, Jinfeng Yi, Chang Xu, Jun Cheng, Dacheng Tao
2019	J	`jnl`	Evolutionary Generative Adversarial Networks. IEEE Trans. Evol. Comput. Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao
2019	J	`jnl`	Full-Stack Filters to Build Minimum Viable CNNs. CoRR Kai Han, Yunhe Wang, Yixing Xu, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. CoRR Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao
2019	J	`jnl`	Gated-GAN: Adversarial Gated Networks for Multi-Collection Style Transfer. IEEE Trans. Image Process. Xinyuan Chen, Chang Xu, Xiaokang Yang, Li Song, Dacheng Tao
2019	J	`jnl`	GhostNet: More Features from Cheap Operations. CoRR Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu
2019	J	`jnl`	Graph Reasoning Networks for Visual Question Answering. CoRR Dalu Guo, Chang Xu, Dacheng Tao
2019	A*	`conf`	Image-Question-Answer Synergistic Network for Visual Dialog. CVPR Dalu Guo, Chang Xu, Dacheng Tao
2019	J	`jnl`	Image-Question-Answer Synergistic Network for Visual Dialog. CoRR Dalu Guo, Chang Xu, Dacheng Tao
2019	A*	`conf`	Learning Instance-wise Sparsity for Accelerating Deep Models. IJCAI Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	J	`jnl`	Learning Instance-wise Sparsity for Accelerating Deep Models. CoRR Chuanjian Liu, Yunhe Wang, Kai Han, Chunjing Xu, Chang Xu
2019	A*	`conf`	Learning from Bad Data via Generation. NeurIPS Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
2019	J	`jnl`	Learning structured and non-redundant representations with deep neural networks. Pattern Recognit. Jihai Yang, Wei Xiong, Shijun Li, Chang Xu
2019	A*	`conf`	LegoNet: Efficient Convolutional Neural Networks with Lego Filters. ICML Zhaohui Yang, Yunhe Wang, Chuanjian Liu, Hanting Chen, Chunjing Xu, Boxin Shi, Chao Xu, Chang Xu
2019	J	`jnl`	Multi-View Intact Space Learning. CoRR Chang Xu, Dacheng Tao, Chao Xu
2019	J	`jnl`	Multi-view Vector-valued Manifold Regularization for Multi-label Image Classification. CoRR Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen
2019	A*	`conf`	On Retrospecting Human Dynamics with Attention. IJCAI Minjing Dong, Chang Xu
2019	J	`jnl`	Packing Convolutional Neural Networks in the Frequency Domain. IEEE Trans. Pattern Anal. Mach. Intell. Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2019	J	`jnl`	Point Cloud Generation From Multiple Angles of Voxel Grids. IEEE Access Shumin Kong, Fangzhou Shi, Chaoyue Wang, Chang Xu
2019	A*	`conf`	Positive-Unlabeled Compression on the Cloud. NeurIPS Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	Positive-Unlabeled Compression on the Cloud. CoRR Yixing Xu, Yunhe Wang, Hanting Chen, Kai Han, Chunjing Xu, Dacheng Tao, Chang Xu
2019	J	`jnl`	RNAS: Architecture Ranking for Powerful Networks. CoRR Yixing Xu, Yunhe Wang, Kai Han, Hanting Chen, Yehui Tang, Shangling Jui, Chunjing Xu, Qi Tian, Chang Xu
2019	J	`jnl`	ROMIR: Robust Multi-View Image Re-Ranking. IEEE Trans. Knowl. Data Eng. Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Ramamohanarao Kotagiri, Dacheng Tao
2019	—	`conf`	Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. ACL (1) Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks
2019	J	`jnl`	Recognising Agreement and Disagreement between Stances with Reason Comparing Networks. CoRR Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks
2019	A*	`conf`	Reinforced Molecule Generation with Heterogeneous States. ICDM Fangzhou Shi, Shan You, Chang Xu
2019	J	`jnl`	STRIP: A Defence Against Trojan Attacks on Deep Neural Networks. CoRR Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal
2019	A	`conf`	STRIP: a defence against trojan attacks on deep neural networks. ACSAC Yansong Gao, Chang Xu, Derui Wang, Shiping Chen, Damith Chinthana Ranasinghe, Surya Nepal
2019	A*	`conf`	Self-Supervised Representation Learning From Multi-Domain Data. ICCV Zeyu Feng, Chang Xu, Dacheng Tao
2019	A*	`conf`	Self-Supervised Representation Learning by Rotation Feature Decoupling. CVPR Zeyu Feng, Chang Xu, Dacheng Tao
2019	A*	`conf`	Smooth Deep Image Generator from Noises. AAAI Tianyu Guo, Chang Xu, Boxin Shi, Chao Xu, Dacheng Tao
2019	J	`jnl`	Spatial-Temporal Attention-Based Human Dynamics Retrospection. IEEE Access Minjing Dong, Chang Xu
2018	A*	`conf`	Adversarial Learning of Portable Student Networks. AAAI Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2018	—	`conf`	Attention-GAN for Object Transfiguration in Wild Images. ECCV (2) Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao
2018	J	`jnl`	Attention-GAN for Object Transfiguration in Wild Images. CoRR Xinyuan Chen, Chang Xu, Xiaokang Yang, Dacheng Tao
2018	J	`jnl`	Cost-Sensitive Feature Selection by Optimizing F-Measures. IEEE Trans. Image Process. Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2018	—	`conf`	Cross-Target Stance Classification with Self-Attention Networks. ACL (2) Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks
2018	J	`jnl`	Cross-Target Stance Classification with Self-Attention Networks. CoRR Chang Xu, Cécile Paris, Surya Nepal, Ross Sparks
2018	J	`jnl`	Discriminative multi-view Privileged Information learning for image re-ranking. CoRR Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao, Hong Zhang
2018	J	`jnl`	Evolutionary Generative Adversarial Networks. CoRR Chaoyue Wang, Chang Xu, Xin Yao, Dacheng Tao
2018	J	`jnl`	Graph Edge Convolutional Neural Networks for Skeleton Based Action Recognition. CoRR Xikun Zhang, Chang Xu, Xinmei Tian, Dacheng Tao
2018	—	`conf`	Historical Gradient Boosting Machine. GCAI Zeyu Feng, Chang Xu, Dacheng Tao
2018	A*	`conf`	Independent Feature and Label Components for Multi-label Classification. ICDM Yongjian Zhong, Chang Xu, Bo Du, Lefei Zhang
2018	J	`jnl`	Learning Student Networks via Feature Embedding. CoRR Hanting Chen, Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2018	A*	`conf`	Learning Versatile Filters for Efficient Convolutional Neural Networks. NeurIPS Yunhe Wang, Chang Xu, Chunjing Xu, Chao Xu, Dacheng Tao
2018	A*	`conf`	Learning With Single-Teacher Multi-Student. AAAI Shan You, Chang Xu, Chao Xu, Dacheng Tao
2018	J	`jnl`	Matrix Factorization for Collaborative Budget Allocation. IEEE Trans Autom. Sci. Eng. Yali Du, Chang Xu, Dacheng Tao
2018	J	`jnl`	Multi-Task Learning for Blind Source Separation. IEEE Trans. Image Process. Bo Du, Shaodong Wang, Chang Xu, Nan Wang, Liangpei Zhang, Dacheng Tao
2018	J	`jnl`	Multi-view manifold learning with locality alignment. Pattern Recognit. Yue Zhao, Xinge You, Shujian Yu, Chang Xu, Wei Yuan, Xiao-Yuan Jing, Taiping Zhang, Dacheng Tao
2018	A*	`conf`	Online Dictionary Learning with Confidence. ICDM Shan You, Chang Xu, Chao Xu
2018	J	`jnl`	Perceptual Adversarial Networks for Image-to-Image Transformation. IEEE Trans. Image Process. Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao
2018	A*	`conf`	R-SVM+: Robust Learning with Privileged Information. IJCAI Xue Li, Bo Du, Chang Xu, Yipeng Zhang, Lefei Zhang, Dacheng Tao
2018	A*	`conf`	Reinforced Multi-Label Image Classification by Exploring Curriculum. AAAI Shiyi He, Chang Xu, Tianyu Guo, Chao Xu, Dacheng Tao
2018	J	`jnl`	Robust Student Network Learning. CoRR Tianyu Guo, Chang Xu, Shiyi He, Boxin Shi, Chao Xu, Dacheng Tao
2018	A*	`conf`	Towards Evolutionary Compression. KDD Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao
2017	A*	`conf`	Beyond Filters: Compact Feature Map for Portable Deep Model. ICML Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2017	A*	`conf`	Beyond RPCA: Flattening Complex Noise in the Frequency Domain. AAAI Yunhe Wang, Chang Xu, Chao Xu, Dacheng Tao
2017	A*	`conf`	Collaborative Rating Allocation. IJCAI Yali Du, Chang Xu, Dacheng Tao
2017	A*	`conf`	Cost-Sensitive Feature Selection via F-Measure Optimization Reduction. AAAI Meng Liu, Chang Xu, Yong Luo, Chao Xu, Yonggang Wen, Dacheng Tao
2017	J	`jnl`	DCT Regularized Extreme Visual Recovery. IEEE Trans. Image Process. Yunhe Wang, Chang Xu, Shan You, Chao Xu, Dacheng Tao
2017	J	`jnl`	Discriminative Multi-View Interactive Image Re-Ranking. IEEE Trans. Image Process. Jun Li, Chang Xu, Wankou Yang, Changyin Sun, Dacheng Tao
2017	J	`jnl`	Diversified dictionaries for multi-instance learning. Pattern Recognit. Maoying Qiao, Liu Liu, Jun Yu, Chang Xu, Dacheng Tao
2017	A*	`conf`	Fast SVM Trained by Divide-and-Conquer Anchors. IJCAI Meng Liu, Chang Xu, Chao Xu, Dacheng Tao
2017	A*	`conf`	Learning from Multiple Teacher Networks. KDD Shan You, Chang Xu, Chao Xu, Dacheng Tao
2017	A*	`conf`	Multi-Positive and Unlabeled Learning. IJCAI Yixing Xu, Chang Xu, Chao Xu, Dacheng Tao
2017	J	`jnl`	Perceptual Adversarial Networks for Image-to-Image Transformation. CoRR Chaoyue Wang, Chang Xu, Chaohui Wang, Dacheng Tao
2017	A*	`conf`	Privileged Matrix Factorization for Collaborative Filtering. IJCAI Yali Du, Chang Xu, Dacheng Tao
2017	A*	`conf`	Privileged Multi-label Learning. IJCAI Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
2017	J	`jnl`	Privileged Multi-label Learning. CoRR Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
2017	J	`jnl`	SPA: Spatially Pooled Attributes for image retrieval. Neurocomputing Jun Li, Chang Xu, Wankou Yang, Changyin Sun
2017	A*	`conf`	Tag Disentangled Generative Adversarial Network for Object Image Re-rendering. IJCAI Chaoyue Wang, Chaohui Wang, Chang Xu, Dacheng Tao
2017	J	`jnl`	Towards Evolutional Compression. CoRR Yunhe Wang, Chang Xu, Jiayan Qiu, Chao Xu, Dacheng Tao
2016	—	`conf`	CNNpack: Packing Convolutional Neural Networks in the Frequency Domain. NIPS Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu
2016	J	`jnl`	Local Rademacher Complexity for Multi-Label Learning. IEEE Trans. Image Process. Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu
2016	J	`jnl`	Parts for the Whole: The DCT Norm for Extreme Visual Recovery. CoRR Yunhe Wang, Chang Xu, Shan You, Dacheng Tao, Chao Xu
2016	A*	`conf`	Robust Extreme Multi-label Learning. KDD Chang Xu, Dacheng Tao, Chao Xu
2016	J	`jnl`	SERVE: Soft and Equalized Residual VEctors for image retrieval. Neurocomputing Jun Li, Chang Xu, Mingming Gong, Junliang Xing, Wankou Yang, Changyin Sun
2016	J	`jnl`	Streaming Label Learning for Modeling Labels on the Fly. CoRR Shan You, Chang Xu, Yunhe Wang, Chao Xu, Dacheng Tao
2016	J	`jnl`	Streaming View Learning. CoRR Chang Xu, Dacheng Tao, Chao Xu
2015	A*	`conf`	Large-Margin Multi-Label Causal Feature Learning. AAAI Chang Xu, Dacheng Tao, Chao Xu
2015	J	`jnl`	Large-margin multi-view Gaussian process. Multim. Syst. Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu
2015	J	`jnl`	Multi-Task Pose-Invariant Face Recognition. IEEE Trans. Image Process. Changxing Ding, Chang Xu, Dacheng Tao
2015	J	`jnl`	Multi-View Intact Space Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chang Xu, Dacheng Tao, Chao Xu
2015	J	`jnl`	Multi-View Learning With Incomplete Views. IEEE Trans. Image Process. Chang Xu, Dacheng Tao, Chao Xu
2015	A*	`conf`	Multi-view Self-Paced Learning for Clustering. IJCAI Chang Xu, Dacheng Tao, Chao Xu
2014	J	`jnl`	Large-Margin Multi-ViewInformation Bottleneck. IEEE Trans. Pattern Anal. Mach. Intell. Chang Xu, Dacheng Tao, Chao Xu
2014	A*	`conf`	Large-margin Weakly Supervised Dimensionality Reduction. ICML Chang Xu, Dacheng Tao, Chao Xu, Yong Rui
2014	J	`jnl`	Local Rademacher Complexity for Multi-label Learning. CoRR Chang Xu, Tongliang Liu, Dacheng Tao, Chao Xu
2013	J	`jnl`	A Survey on Multi-view Learning CoRR Chang Xu, Dacheng Tao, Chao Xu
2013	—	`conf`	Large-margin multi-view Gaussian process for image classification. ICIMCS Chang Xu, Dacheng Tao, Yangxi Li, Chao Xu
2013	J	`jnl`	Multiview Vector-Valued Manifold Regularization for Multilabel Image Classification. IEEE Trans. Neural Networks Learn. Syst. Yong Luo, Dacheng Tao, Chang Xu, Chao Xu, Hong Liu, Yonggang Wen
2013	A*	`conf`	Vector-Valued Multi-View Semi-Supervsed Learning for Multi-Label Image Classification. AAAI Yong Luo, Dacheng Tao, Chang Xu, Dongchen Li, Chao Xu
2012	B	`conf`	Learning to rerank images with enhanced spatial verification. ICIP Chang Xu, Yangxi Li, Chao Zhou, Chao Xu