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Shutao Xia
Shu-Tao Xia
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2020 – today
- 2024
- [j96]Jie Hao, Shu-Tao Xia, Kenneth W. Shum, Bin Chen, Fang-Wei Fu, Yixian Yang:
Optimal ternary locally repairable codes. Des. Codes Cryptogr. 92(9): 2685-2704 (2024) - [j95]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia:
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias. Int. J. Comput. Vis. 132(6): 2310-2330 (2024) - [j94]Jinpeng Wang, Ziyun Zeng, Bin Chen, Yuting Wang, Dongliang Liao, Gongfu Li, Yiru Wang, Shu-Tao Xia:
Hugs Bring Double Benefits: Unsupervised Cross-Modal Hashing with Multi-granularity Aligned Transformers. Int. J. Comput. Vis. 132(8): 2765-2797 (2024) - [j93]Ziyun Zeng, Jinpeng Wang, Bin Chen, Tao Dai, Shu-Tao Xia, Zhi Wang:
Pyramid hybrid pooling quantization for efficient fine-grained image retrieval. Pattern Recognit. Lett. 178: 106-114 (2024) - [j92]Naiqi Li, Zhikang Xia, Yiming Li, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood. IEEE Trans. Artif. Intell. 5(2): 505-515 (2024) - [j91]Naiqi Li, Wenjie Li, Yinghua Gao, Yiming Li, Jigang Bao, Ercan E. Kuruoglu, Yong Jiang, Shu-Tao Xia:
Node-Level Graph Regression With Deep Gaussian Process Models. IEEE Trans. Artif. Intell. 5(6): 3257-3269 (2024) - [j90]Tao Dai, Mengxi Ya, Jinmin Li, Xinyi Zhang, Shu-Tao Xia, Zexuan Zhu:
CFGN: A Lightweight Context Feature Guided Network for Image Super-Resolution. IEEE Trans. Emerg. Top. Comput. Intell. 8(1): 855-865 (2024) - [j89]Kuofeng Gao, Jiawang Bai, Baoyuan Wu, Mengxi Ya, Shu-Tao Xia:
Imperceptible and Robust Backdoor Attack in 3D Point Cloud. IEEE Trans. Inf. Forensics Secur. 19: 1267-1282 (2024) - [j88]Yinghua Gao, Yiming Li, Xueluan Gong, Zhifeng Li, Shu-Tao Xia, Qian Wang:
Backdoor Attack With Sparse and Invisible Trigger. IEEE Trans. Inf. Forensics Secur. 19: 6364-6376 (2024) - [j87]Weijun Fang, Jingjie Lv, Bin Chen, Shu-Tao Xia, Xiangyu Chen:
New Constructions of MDS Array Codes and Optimal Locally Repairable Array Codes. IEEE Trans. Inf. Theory 70(3): 1806-1822 (2024) - [j86]Weijun Fang, Ran Tao, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Bounds and Constructions of Singleton-Optimal Locally Repairable Codes With Small Localities. IEEE Trans. Inf. Theory 70(10): 6842-6856 (2024) - [j85]Yiming Li, Yong Jiang, Zhifeng Li, Shu-Tao Xia:
Backdoor Learning: A Survey. IEEE Trans. Neural Networks Learn. Syst. 35(1): 5-22 (2024) - [j84]Yinghua Gao, Dongxian Wu, Jingfeng Zhang, Guanhao Gan, Shu-Tao Xia, Gang Niu, Masashi Sugiyama:
On the Effectiveness of Adversarial Training Against Backdoor Attacks. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14878-14888 (2024) - [c252]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval. AAAI 2024: 5767-5775 - [c251]Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI 2024: 6962-6970 - [c250]Taolin Zhang, Sunan He, Tao Dai, Zhi Wang, Bin Chen, Shu-Tao Xia:
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding. AAAI 2024: 7296-7304 - [c249]Qian-Wei Wang, Bowen Zhao, Mingyan Zhu, Tianxiang Li, Zimo Liu, Shu-Tao Xia:
Controller-Guided Partial Label Consistency Regularization with Unlabeled Data. AAAI 2024: 15571-15579 - [c248]Jiawang Bai, Kuofeng Gao, Shaobo Min, Shu-Tao Xia, Zhifeng Li, Wei Liu:
BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. CVPR 2024: 24239-24250 - [c247]Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shu-Tao Xia:
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. CVPR 2024: 24431-24441 - [c246]Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia:
MambaIR: A Simple Baseline for Image Restoration with State-Space Model. ECCV (18) 2024: 222-241 - [c245]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Yong Jiang, Shu-Tao Xia:
CAGEN: Controllable Anomaly Generator using Diffusion Model. ICASSP 2024: 3110-3114 - [c244]Yuqi Tan, Yuang Peng, Hao Fang, Bin Chen, Shu-Tao Xia:
WaterDiff: Perceptual Image Watermarks Via Diffusion Model. ICASSP 2024: 3250-3254 - [c243]Peiyuan Liu, Beiliang Wu, Naiqi Li, Tao Dai, Fengmao Lei, Jigang Bao, Yong Jiang, Shu-Tao Xia:
WFTNet: Exploiting Global and Local Periodicity in Long-Term Time Series Forecasting. ICASSP 2024: 5960-5964 - [c242]Tao Dai, Beiliang Wu, Peiyuan Liu, Naiqi Li, Jigang Bao, Yong Jiang, Shu-Tao Xia:
Periodicity Decoupling Framework for Long-term Series Forecasting. ICLR 2024 - [c241]Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu:
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. ICLR 2024 - [c240]Mengxi Ya, Yiming Li, Tao Dai, Bin Wang, Yong Jiang, Shu-Tao Xia:
Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark. ICLR 2024 - [c239]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. IJCAI 2024: 983-991 - [c238]Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo:
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. IJCAI 2024: 992-1000 - [c237]Yuqiu Xie, Bolin Jiang, Jiawei Li, Naiqi Li, Bin Chen, Tao Dai, Yuang Peng, Shu-Tao Xia:
GladCoder: Stylized QR Code Generation with Grayscale-Aware Denoising Process. IJCAI 2024: 7780-7787 - [c236]Jing Yang, Shu-Tao Xia, Xianfang Wang, Jiangtao Yuan, Fang-Wei Fu:
A Perfect Ideal Hierarchical Secret Sharing Scheme Based on the CRT for Polynomial Rings. ISIT 2024: 321-326 - [c235]Jingjie Lv, Weijun Fang, Shu-Tao Xia, Hanxu Hou:
An Explicit Construction of $q\text{-ary}$ MDS Array Codes and Their Efficient Decoding. ISIT 2024: 915-920 - [c234]Qinshan Zhang, Bin Chen, Tianqu Zhuang, Yong Jiang, Shu-Tao Xia:
Section-Wise Revolving NBP-Like Decoders for QC-LDPC Codes. ISIT 2024: 1397-1402 - [c233]Jing Yang, Shu-Tao Xia, Xianfang Wang, Can Xiang, Fang-Wei Fu:
A New Multi-Receiver Authentication Scheme for General Access Structure. ISIT 2024: 3486-3491 - [c232]Bolin Jiang, Yuqiu Xie, Jiawei Li, Naiqi Li, Bin Chen, Shu-Tao Xia:
IGSPAD: Inverting 3D Gaussian Splatting for Pose-agnostic Anomaly Detection. ACM Multimedia 2024: 10229-10237 - [c231]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. ACM Multimedia 2024: 10843-10852 - [c230]Wenjie Li, Zhongren Wang, Jinpeng Wang, Shutao Xia, Jile Zhu, Mingjian Chen, Jiangke Fan, Jia Cheng, Jun Lei:
ReFer: Retrieval-Enhanced Vertical Federated Recommendation for Full Set User Benefit. SIGIR 2024: 1763-1773 - [c229]Wenbo Yu, Bin Chen, Qinshan Zhang, Shu-Tao Xia:
Editable-DeepSC: Cross-Modal Editable Semantic Communication Systems. VTC Spring 2024: 1-5 - [c228]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. WWW (Companion Volume) 2024: 867-870 - [i159]Kuofeng Gao, Yang Bai, Jindong Gu, Shu-Tao Xia, Philip Torr, Zhifeng Li, Wei Liu:
Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images. CoRR abs/2401.11170 (2024) - [i158]Xiang Liu, Jiahong Chen, Bin Chen, Zimo Liu, Baoyi An, Shu-Tao Xia:
Fast Implicit Neural Representation Image Codec in Resource-limited Devices. CoRR abs/2401.12587 (2024) - [i157]Hao Fang, Yixiang Qiu, Hongyao Yu, Wenbo Yu, Jiawei Kong, Baoli Chong, Bin Chen, Xuan Wang, Shu-Tao Xia:
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and Defenses. CoRR abs/2402.04013 (2024) - [i156]Hang Guo, Jinmin Li, Tao Dai, Zhihao Ouyang, Xudong Ren, Shu-Tao Xia:
MambaIR: A Simple Baseline for Image Restoration with State-Space Model. CoRR abs/2402.15648 (2024) - [i155]Yujun Huang, Bin Chen, Naiqi Li, Baoyi An, Shu-Tao Xia, Yaowei Wang:
MB-RACS: Measurement-Bounds-based Rate-Adaptive Image Compressed Sensing Network. CoRR abs/2402.16855 (2024) - [i154]Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, Shu-Tao Xia:
Taming Pre-trained LLMs for Generalised Time Series Forecasting via Cross-modal Knowledge Distillation. CoRR abs/2403.07300 (2024) - [i153]Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shutao Xia, Yisen Wang:
FMM-Attack: A Flow-based Multi-modal Adversarial Attack on Video-based LLMs. CoRR abs/2403.13507 (2024) - [i152]Yushen Li, Jinpeng Wang, Tao Dai, Jieming Zhu, Jun Yuan, Rui Zhang, Shu-Tao Xia:
RAT: Retrieval-Augmented Transformer for Click-Through Rate Prediction. CoRR abs/2404.02249 (2024) - [i151]Hongwei Zhu, Shitao Li, Minjia Shi, Shu-Tao Xia, Patrick Solé:
Some bounds on the cardinality of the b-symbol weight spectrum of codes. CoRR abs/2404.02471 (2024) - [i150]Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shu-Tao Xia:
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. CoRR abs/2404.04998 (2024) - [i149]Kuofeng Gao, Jindong Gu, Yang Bai, Shu-Tao Xia, Philip Torr, Wei Liu, Zhifeng Li:
Energy-Latency Manipulation of Multi-modal Large Language Models via Verbose Samples. CoRR abs/2404.16557 (2024) - [i148]Jinmin Li, Tao Dai, Jingyun Zhang, Kang Liu, Jun Wang, Shaoming Wang, Shu-Tao Xia, Rizen Guo:
Boundary-aware Decoupled Flow Networks for Realistic Extreme Rescaling. CoRR abs/2405.02941 (2024) - [i147]Jinmin Li, Tao Dai, Yaohua Zha, Yilu Luo, Longfei Lu, Bin Chen, Zhi Wang, Shu-Tao Xia, Jingyun Zhang:
Invertible Residual Rescaling Models. CoRR abs/2405.02945 (2024) - [i146]Kuofeng Gao, Yang Bai, Jiawang Bai, Yong Yang, Shu-Tao Xia:
Adversarial Robustness for Visual Grounding of Multimodal Large Language Models. CoRR abs/2405.09981 (2024) - [i145]Sheng Yang, Jiawang Bai, Kuofeng Gao, Yong Yang, Yiming Li, Shutao Xia:
Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers. CoRR abs/2405.10612 (2024) - [i144]Yuting Wang, Jinpeng Wang, Bin Chen, Tao Dai, Ruisheng Luo, Shu-Tao Xia:
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video Retrieval. CoRR abs/2405.13824 (2024) - [i143]Shiyu Qin, Jinpeng Wang, Yimin Zhou, Bin Chen, Tianci Luo, Baoyi An, Tao Dai, Shutao Xia, Yaowei Wang:
MambaVC: Learned Visual Compression with Selective State Spaces. CoRR abs/2405.15413 (2024) - [i142]Yaohua Zha, Naiqi Li, Yanzi Wang, Tao Dai, Hang Guo, Bin Chen, Zhi Wang, Zhihao Ouyang, Shu-Tao Xia:
LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling. CoRR abs/2405.17149 (2024) - [i141]Wenbo Yu, Hao Fang, Bin Chen, Xiaohang Sui, Chuan Chen, Hao Wu, Shu-Tao Xia, Ke Xu:
GI-NAS: Boosting Gradient Inversion Attacks through Adaptive Neural Architecture Search. CoRR abs/2405.20725 (2024) - [i140]Jiarui Yang, Tao Dai, Naiqi Li, Junxi Wu, Peiyuan Liu, Jinmin Li, Jigang Bao, Haigang Zhang, Shutao Xia:
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting. CoRR abs/2406.02212 (2024) - [i139]Hao Fang, Jiawei Kong, Wenbo Yu, Bin Chen, Jiawei Li, Shutao Xia, Ke Xu:
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models. CoRR abs/2406.05491 (2024) - [i138]Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia:
Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation. CoRR abs/2406.05704 (2024) - [i137]Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia:
DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation. CoRR abs/2406.16855 (2024) - [i136]Qian-Wei Wang, Yuqiu Xie, Letian Zhang, Zimo Liu, Shu-Tao Xia:
Pre-Trained Vision-Language Models as Partial Annotators. CoRR abs/2406.18550 (2024) - [i135]Jinmin Li, Kuofeng Gao, Yang Bai, Jingyun Zhang, Shu-Tao Xia:
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs. CoRR abs/2407.02411 (2024) - [i134]Taolin Zhang, Jiawang Bai, Zhihe Lu, Dongze Lian, Genping Wang, Xinchao Wang, Shu-Tao Xia:
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. CoRR abs/2407.06964 (2024) - [i133]Yaohua Zha, Yanzi Wang, Tao Dai, Shu-Tao Xia:
Pre-training Point Cloud Compact Model with Partial-aware Reconstruction. CoRR abs/2407.09344 (2024) - [i132]Hao Fang, Jiawei Kong, Bin Chen, Tao Dai, Hao Wu, Shu-Tao Xia:
CLIP-Guided Networks for Transferable Targeted Attacks. CoRR abs/2407.10179 (2024) - [i131]Yixiang Qiu, Hao Fang, Hongyao Yu, Bin Chen, Meikang Qiu, Shu-Tao Xia:
A Closer Look at GAN Priors: Exploiting Intermediate Features for Enhanced Model Inversion Attacks. CoRR abs/2407.13863 (2024) - [i130]Longfei Lu, Huachen Gao, Tao Dai, Yaohua Zha, Zhi Hou, Junta Wu, Shu-Tao Xia:
Large Point-to-Gaussian Model for Image-to-3D Generation. CoRR abs/2408.10935 (2024) - [i129]Yiran Xu, Haoxiang Zhong, Kai Wu, Jialin Li, Yong Liu, Chengjie Wang, Shu-Tao Xia, Hongen Liao:
Anno-incomplete Multi-dataset Detection. CoRR abs/2408.16247 (2024) - [i128]Yujun Huang, Bin Chen, Niu Lian, Baoyi An, Shu-Tao Xia:
3D-GP-LMVIC: Learning-based Multi-View Image Coding with 3D Gaussian Geometric Priors. CoRR abs/2409.04013 (2024) - 2023
- [j83]Weijun Fang, Bin Chen, Shu-Tao Xia, Fang-Wei Fu, Xiangyu Chen:
Perfect LRCs and k-optimal LRCs. Des. Codes Cryptogr. 91(4): 1209-1232 (2023) - [j82]Weijun Fang, Fang-Wei Fu, Bin Chen, Shu-Tao Xia:
Singleton-optimal LRCs and perfect LRCs via cyclic and constacyclic codes. Finite Fields Their Appl. 91: 102273 (2023) - [j81]Bin Chen, Yan Feng, Tao Dai, Jiawang Bai, Yong Jiang, Shu-Tao Xia, Xuan Wang:
Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1388-1404 (2023) - [j80]Jiawang Bai, Baoyuan Wu, Zhifeng Li, Shu-Tao Xia:
Versatile Weight Attack via Flipping Limited Bits. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13653-13665 (2023) - [j79]Yang Bai, Yisen Wang, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia:
Query efficient black-box adversarial attack on deep neural networks. Pattern Recognit. 133: 109037 (2023) - [j78]Sen Yang, Ze Feng, Zhicheng Wang, Yanjie Li, Shoukui Zhang, Zhibin Quan, Shutao Xia, Wankou Yang:
Detecting and grouping keypoints for multi-person pose estimation using instance-aware attention. Pattern Recognit. 136: 109232 (2023) - [j77]Yinghua Gao, Yiming Li, Linghui Zhu, Dongxian Wu, Yong Jiang, Shu-Tao Xia:
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks. Pattern Recognit. 139: 109512 (2023) - [j76]Yuyuan Zeng, Bowen Zhao, Shanzhao Qiu, Tao Dai, Shu-Tao Xia:
Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 33(9): 4703-4714 (2023) - [j75]Yiming Li, Mingyan Zhu, Xue Yang, Yong Jiang, Tao Wei, Shu-Tao Xia:
Black-Box Dataset Ownership Verification via Backdoor Watermarking. IEEE Trans. Inf. Forensics Secur. 18: 2318-2332 (2023) - [j74]Jingjie Lv, Weijun Fang, Xiangyu Chen, Jing Yang, Shu-Tao Xia:
New Constructions of q-Ary MDS Array Codes With Multiple Parities and Their Effective Decoding. IEEE Trans. Inf. Theory 69(11): 7082-7098 (2023) - [c227]Sunan He, Taian Guo, Tao Dai, Ruizhi Qiao, Xiujun Shu, Bo Ren, Shu-Tao Xia:
Open-Vocabulary Multi-Label Classification via Multi-Modal Knowledge Transfer. AAAI 2023: 808-816 - [c226]Jinmin Li, Tao Dai, Mingyan Zhu, Bin Chen, Zhi Wang, Shu-Tao Xia:
FSR: A General Frequency-Oriented Framework to Accelerate Image Super-resolution Networks. AAAI 2023: 1343-1350 - [c225]Yuting Wang, Jinpeng Wang, Bin Chen, Ziyun Zeng, Shu-Tao Xia:
Contrastive Masked Autoencoders for Self-Supervised Video Hashing. AAAI 2023: 2733-2741 - [c224]Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shutao Xia:
Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment. AAAI 2023: 3561-3569 - [c223]Yujun Huang, Bin Chen, Shiyu Qin, Jiawei Li, Yaowei Wang, Tao Dai, Shu-Tao Xia:
Learned Distributed Image Compression with Multi-Scale Patch Matching in Feature Domain. AAAI 2023: 4322-4329 - [c222]Lingyu Yang, Hongjia Li, Lei Li, Chengyin Xu, Shutao Xia, Chun Yuan:
LET: Leveraging Error Type Information for Grammatical Error Correction. ACL (Findings) 2023: 5986-5998 - [c221]Kuofeng Gao, Jiawang Bai, Bin Chen, Dongxian Wu, Shu-Tao Xia:
Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. BMVC 2023: 172-173 - [c220]Chen-Hui Song, Xi Xiao, Bin Zhang, Shu-Tao Xia:
Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction. CIKM 2023: 2311-2320 - [c219]Kuofeng Gao, Yang Bai, Jindong Gu, Yong Yang, Shu-Tao Xia:
Backdoor Defense via Adaptively Splitting Poisoned Dataset. CVPR 2023: 4005-4014 - [c218]Ziyun Zeng, Yuying Ge, Xihui Liu, Bin Chen, Ping Luo, Shu-Tao Xia, Yixiao Ge:
Learning Transferable Spatiotemporal Representations from Natural Script Knowledge. CVPR 2023: 23079-23089 - [c217]Chengxiao Luo, Yiming Li, Yong Jiang, Shu-Tao Xia:
Untargeted Backdoor Attack Against Object Detection. ICASSP 2023: 1-5 - [c216]Guanghao Meng, Tao Dai, Bin Chen, Naiqi Li, Yong Jiang, Shu-Tao Xia:
Difficulty-Aware Data Augmentor for Scene Text Recognition. ICASSP 2023: 1-5 - [c215]Jianyu Xiong, Tao Dai, Yaohua Zha, Xin Wang, Shu-Tao Xia:
Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling. ICASSP 2023: 1-5 - [c214]Tong Xu, Yiming Li, Yong Jiang, Shu-Tao Xia:
BATT: Backdoor Attack with Transformation-Based Triggers. ICASSP 2023: 1-5 - [c213]Sheng Yang, Yiming Li, Yong Jiang, Shu-Tao Xia:
Backdoor Defense via Suppressing Model Shortcuts. ICASSP 2023: 1-5 - [c212]Yaohua Zha, Rongsheng Li, Tao Dai, Jianyu Xiong, Xin Wang, Shu-Tao Xia:
SFR: Semantic-Aware Feature Rendering of Point Cloud. ICASSP 2023: 1-5 - [c211]Qinshan Zhang, Bin Chen, Yujun Huang, Shu-Tao Xia:
Adaptive ProductAE: SNR-Aware Adaptive Decoding of Neural Product Codes. ICC 2023: 6337-6342 - [c210]Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia:
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. ICCV 2023: 4665-4675 - [c209]Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia:
Towards Robust Model Watermark via Reducing Parametric Vulnerability. ICCV 2023: 4728-4738 - [c208]Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia:
GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. ICCV 2023: 4944-4953 - [c207]Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia:
Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. ICCV 2023: 6759-6768 - [c206]Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. ICCV 2023: 14115-14124 - [c205]Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Bin Chen, Shu-Tao Xia, Zhi Wang:
Unsupervised Anomaly Detection with Local-Sensitive VQVAE and Global-Sensitive Transformers. ICIP 2023: 1080-1084 - [c204]Tianxiang Li, Bin Chen, Qian-Wei Wang, Yujun Huang, Shu-Tao Xia:
LKBQ: Pushing the Limit of Post-Training Quantization to Extreme 1 bit. ICIP 2023: 1775-1779 - [c203]Jiajun Fan, Yuzheng Zhuang, Yuecheng Liu, Jianye Hao, Bin Wang, Jiangcheng Zhu, Hao Wang, Shu-Tao Xia:
Learnable Behavior Control: Breaking Atari Human World Records via Sample-Efficient Behavior Selection. ICLR 2023 - [c202]Bowen Zhao, Chen Chen, Shu-Tao Xia:
Delta: Degradation-Free Fully Test-Time Adaptation. ICLR 2023 - [c201]Hang Guo, Tao Dai, Guanghao Meng, Shu-Tao Xia:
Towards Robust Scene Text Image Super-resolution via Explicit Location Enhancement. IJCAI 2023: 782-790 - [c200]Xinyi Zhang, Tao Dai, Bin Chen, Shu-Tao Xia:
DDA: A Dynamic Difficulty-aware Data Augmenter for Image Super-resolution. IJCNN 2023: 1-8 - [c199]Rui Yu, Fei Xiao, Zhiliang Wang, Jiahai Yang, Dongqi Han, Zhihua Wang, Minghui Jin, Chenglong Li, Enhuan Dong, Shutao Xia:
Anomaly Detection in Heterogeneous Time Series Data for Server-Monitoring Tasks. ISCC 2023: 1280-1286 - [c198]