Dandan Guo - RankMe

80 papers A* 16Journal 55Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Calibrating Tabular Anomaly Detection via Optimal Transport. CoRR Hangting Ye, He Zhao, Wei Fan, Xiaozhuang Song, Dandan Guo, Yi Chang, Hongyuan Zha
2026	J	`jnl`	Deep Tabular Representation Corrector. IEEE Trans. Pattern Anal. Mach. Intell. Hangting Ye, Peng Wang, Wei Fan, Xiaozhuang Song, He Zhao, Dandan Guo, Yi Chang
2026	J	`jnl`	Deep neural network calibration by reducing classifier shift with stochastic masking. Pattern Recognit. Jiani Ni, He Zhao, Yibo Yang, Dandan Guo
2026	J	`jnl`	Mitigating Reward Hacking in RLHF via Bayesian Non-negative Reward Modeling. CoRR Zhibin Duan, Guowei Rong, Zhuo Li, Bo Chen, Mingyuan Zhou, Dandan Guo
2026	J	`jnl`	PDR: A Plug-and-Play Positional Decay Framework for LLM Pre-training Data Detection. CoRR Jinhan Liu, Yibo Yang, Ruiying Lu, Piotr Piekos, Yimeng Chen, Peng Wang, Dandan Guo
2026	J	`jnl`	Safeguarding LLM Fine-tuning via Push-Pull Distributional Alignment. CoRR Haozhong Wang, Zhuo Li, Yibo Yang, He Zhao, Hongyuan Zha, Dandan Guo
2026	J	`jnl`	Stabilization of reaction-diffusion PDE with spatially-varying distributed input delay. J. Frankl. Inst. Xiaodan Feng, Dandan Guo
2025	J	`jnl`	A Guardrail for Safety Preservation: When Safety-Sensitive Subspace Meets Harmful-Resistant Null-Space. CoRR Bingjie Zhang, Yibo Yang, Zhe Ren, Dandan Guo, Jindong Gu, Philip Torr, Bernard Ghanem
2025	J	`jnl`	A Survey of Change Point Detection in Dynamic Graphs. IEEE Trans. Knowl. Data Eng. Yuxuan Zhou, Shang Gao, Dandan Guo, Xiaohui Wei, Jon G. Rokne, Hui Wang
2025	A*	`conf`	APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport. EMNLP Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao, Xiang Wan
2025	J	`jnl`	APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport. CoRR Zhuo Li, Yuege Feng, Dandan Guo, Jinpeng Hu, Anningzhe Gao, Xiang Wan
2025	A*	`conf`	Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. CVPR Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha
2025	J	`jnl`	Balancing Two Classifiers via A Simplex ETF Structure for Model Calibration. CoRR Jiani Ni, He Zhao, Jintong Gao, Dandan Guo, Hongyuan Zha
2025	A*	`conf`	Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning. CVPR Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang
2025	J	`jnl`	Beyond Words: Augmenting Discriminative Richness via Diffusions in Unsupervised Prompt Learning. CoRR Hairui Ren, Fan Tang, He Zhao, Zixuan Wang, Dandan Guo, Yi Chang
2025	J	`jnl`	Continual learning with Bayesian compression for shared and private latent representations. Neural Networks Yang Yang, Dandan Guo, Bo Chen, Dexiu Hu
2025	A*	`conf`	DRL: Decomposed Representation Learning for Tabular Anomaly Detection. ICLR Hangting Ye, He Zhao, Wei Fan, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	J	`jnl`	Deep Neural Network Calibration by Reducing Classifier Shift with Stochastic Masking. CoRR Jiani Ni, He Zhao, Yibo Yang, Dandan Guo
2025	J	`jnl`	Diverse Condensed Data Generation via Class Preserving Distribution Matching. Trans. Mach. Learn. Res. Dandan Guo, Zhuo Li, He Zhao, Mingyuan Zhou, Hongyuan Zha
2025	J	`jnl`	Dynamic quantum Cournot duopoly with externality cost functions and relative profit maximization. Quantum Inf. Process. Dandan Guo, Die Zhou, Chun Wang, Guanghui Yang, Hui Yang
2025	A*	`conf`	FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. CVPR Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	J	`jnl`	FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors. CoRR Changlong Shi, He Zhao, Bingjie Zhang, Mingyuan Zhou, Dandan Guo, Yi Chang
2025	A*	`conf`	FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. ICLR Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025	J	`jnl`	FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking. CoRR Changlong Shi, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025	J	`jnl`	Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection. CoRR Ruiying Lu, Jinhan Liu, Chuan Du, Dandan Guo
2025	J	`jnl`	LLM Empowered Prototype Learning for Zero and Few-Shot Tasks on Tabular Data. CoRR Peng Wang, Dongsheng Wang, He Zhao, Hangting Ye, Dandan Guo, Yi Chang
2025	J	`jnl`	LLM Meeting Decision Trees on Tabular Data. CoRR Hangting Ye, Jinmeng Li, He Zhao, Dandan Guo, Yi Chang
2025	J	`jnl`	LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis. CoRR Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha
2025	J	`jnl`	Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data. CoRR Bingjie Zhang, Hongkang Li, Changlong Shi, Guowei Rong, He Zhao, Dongsheng Wang, Dandan Guo, Meng Wang
2025	J	`jnl`	Modality-Consistent Prompt Tuning With Optimal Transport. IEEE Trans. Circuits Syst. Video Technol. Hairui Ren, Fan Tang, Huangjie Zheng, He Zhao, Dandan Guo, Yi Chang
2025	J	`jnl`	Prototype-Oriented Clean Subset Extraction for Noisy Long-Tailed Classification. IEEE Trans. Circuits Syst. Video Technol. Zhuo Li, He Zhao, Anningzhe Gao, Dandan Guo, Tsung-Hui Chang, Xiang Wan
2025	J	`jnl`	Synthesizing Minority Samples for Long-tailed Classification via Distribution Matching. Trans. Mach. Learn. Res. Zhuo Li, He Zhao, Jinke Ren, Anningzhe Gao, Dandan Guo, Xiang Wan, Hongyuan Zha
2025	J	`jnl`	Target-Aspect Domain Continual Learning for SAR Target Recognition. IEEE Trans. Geosci. Remote. Sens. Hongting Chen, Chuan Du, Jinlin Zhu, Dandan Guo
2024	J	`jnl`	A kind of sharp Wirtinger inequalities. Int. J. Wavelets Multiresolution Inf. Process. Guiqiao Xu, Yongping Liu, Dandan Guo
2024	J	`jnl`	Best one-sided approximation and optimal Hermite-Fejér interpolation on an infinite interval. Int. J. Wavelets Multiresolution Inf. Process. Dandan Guo, Yongping Liu
2024	A*	`conf`	Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification. ICML Jintong Gao, He Zhao, Dandan Guo, Hongyuan Zha
2024	J	`jnl`	Extracting Clean and Balanced Subset for Noisy Long-tailed Classification. CoRR Zhuo Li, He Zhao, Zhen Li, Tongliang Liu, Dandan Guo, Xiang Wan
2024	J	`jnl`	Hierarchical Topic-Aware Contextualized Transformers. IEEE ACM Trans. Audio Speech Lang. Process. Ruiying Lu, Bo Chen, Dandan Guo, Dongsheng Wang, Mingyuan Zhou
2024	J	`jnl`	Learning Fair Representations via Distance Correlation Minimization. IEEE Trans. Neural Networks Learn. Syst. Dandan Guo, Chaojie Wang, Baoxiang Wang, Hongyuan Zha
2024	A*	`conf`	PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. ICLR Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024	J	`jnl`	PTaRL: Prototype-based Tabular Representation Learning via Space Calibration. CoRR Hangting Ye, Wei Fan, Xiaozhuang Song, Shun Zheng, He Zhao, Dandan Guo, Yi Chang
2024	J	`jnl`	Target-Aspect Domain Continual SAR-ATR Based on Task Hard Attention Mechanism. IEEE Geosci. Remote. Sens. Lett. Jinlin Zhu, Chuan Du, Dandan Guo
2023	A*	`conf`	A Simple Yet Effective Subsequence-Enhanced Approach for Cross-Domain NER. AAAI Jinpeng Hu, Dandan Guo, Yang Liu, Zhuo Li, Zhihong Chen, Xiang Wan, Tsung-Hui Chang
2023	—	`conf`	Application of Superpixel Clustering Algorithm to Hip Joint Image Segmentation Registration. ICMTEL (1) Jinshun Ding, Xiaoyu Lian, Taowen Lu, Yi Gu, Dandan Guo, Zhiying Cao
2023	A*	`conf`	Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification. NeurIPS Jintong Gao, He Zhao, Zhuo Li, Dandan Guo
2023	J	`jnl`	Suspicious Object Detection for Millimeter-Wave Images With Multi-View Fusion Siamese Network. IEEE Trans. Image Process. Dandan Guo, Long Tian, Chuan Du, Pengfei Xie, Bo Chen, Lei Zhang
2022	J	`jnl`	A Practical Deceptive Jamming Method Based on Vulnerable Location Awareness Adversarial Attack for Radar HRRP Target Recognition. IEEE Trans. Inf. Forensics Secur. Chuan Du, Yulai Cong, Lei Zhang, Dandan Guo, Song Wei
2022	A*	`conf`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. NeurIPS Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport. CoRR Dandan Guo, Long Tian, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	A*	`conf`	Learning Prototype-oriented Set Representations for Meta-Learning. ICLR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2022	A*	`conf`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. NeurIPS Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Learning to Re-weight Examples with Optimal Transport for Imbalanced Classification. CoRR Dandan Guo, Zhuo Li, Meixi Zheng, He Zhao, Mingyuan Zhou, Hongyuan Zha
2022	J	`jnl`	Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. Int. J. Comput. Vis. Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
2022	—	`conf`	Optimal Load Scheduling Based on Mobile Edge Computing Technology in 5G Dense Networking. ACCC Luohui Xia, Dandan Guo, Yongjun Wang, Dandan Sun, Weijing Zhen, Congrui Jing
2022	A*	`conf`	Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. ICLR Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
2022	J	`jnl`	Representing Mixtures of Word Embeddings with Mixtures of Topic Embeddings. CoRR Dongsheng Wang, Dandan Guo, He Zhao, Huangjie Zheng, Korawat Tanwisuth, Bo Chen, Mingyuan Zhou
2022	—	`conf`	Research on Test Task Management Scheduling of Integrated Test Platform Based on Improved Genetic Algorithm. ACCC Dandan Guo, Luohui Xia, Yongjun Wang, Lili Liang, Cuiya Qin, Tongle Fan
2021	J	`jnl`	Deep Autoencoding Topic Model With Scalable Hybrid Bayesian Inference. IEEE Trans. Pattern Anal. Mach. Intell. Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
2021	J	`jnl`	Learning Prototype-oriented Set Representations for Meta-Learning. CoRR Dandan Guo, Long Tian, Minghe Zhang, Mingyuan Zhou, Hongyuan Zha
2021	J	`jnl`	Matching Visual Features to Hierarchical Semantic Topics for Image Paragraph Captioning. CoRR Dandan Guo, Ruiying Lu, Bo Chen, Zequn Zeng, Mingyuan Zhou
2021	—	`conf`	Research on optimization of electric power wireless communication technology. CONF-CDS Mengran Fang, Jie Bai, Lingkang Zeng, Dandan Guo, Haixuan Fu, Yuxi Ba
2021	J	`jnl`	SAR Automatic Target Recognition Based on Supervised Deep Variational Autoencoding Model. IEEE Trans. Aerosp. Electron. Syst. Dandan Guo, Bo Chen, Meixi Zheng, Hongwei Liu
2020	J	`jnl`	Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference. CoRR Hao Zhang, Bo Chen, Yulai Cong, Dandan Guo, Hongwei Liu, Mingyuan Zhou
2020	A*	`conf`	Recurrent Hierarchical Topic-Guided RNN for Language Generation. ICML Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou
2020	J	`jnl`	Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. CoRR Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou
2020	J	`jnl`	Variational Temporal Deep Generative Model for Radar HRRP Target Recognition. IEEE Trans. Signal Process. Dandan Guo, Bo Chen, Wenchao Chen, Chaojie Wang, Hongwei Liu, Mingyuan Zhou
2019	J	`jnl`	Factorized discriminative conditional variational auto-encoder for radar HRRP target recognition. Signal Process. Chuan Du, Bo Chen, Bin Xu, Dandan Guo, Hongwei Liu
2019	J	`jnl`	Recurrent Hierarchical Topic-Guided Neural Language Models. CoRR Dandan Guo, Bo Chen, Ruiying Lu, Mingyuan Zhou
2018	A*	`conf`	Deep Poisson gamma dynamical systems. NeurIPS Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
2018	J	`jnl`	Deep Poisson gamma dynamical systems. CoRR Dandan Guo, Bo Chen, Hao Zhang, Mingyuan Zhou
2018	J	`jnl`	Defect characterization of amorphous silicon thin film solar cell based on low frequency noise. Sci. China Inf. Sci. Linna Hu, Liang He, Hua Chen, Xiaofei Jia, Ying Hu, Hongmei Ma, Dandan Guo, Yu Qin
2018	—	`conf`	Framework Design of Storage and Visualization System for Massive Unmanned Aerial Vehicle (UAV) Remote Sensing Data. Agro-Geoinformatics Dandan Guo, Guangming Li, Shuai Wang
2018	—	`conf`	Ultrasonic testing on interface information of human abdominal organs. I2MTC Dandan Guo, Shangjie Ren, Feng Dong
2018	—	`conf`	WHAI: Weibull Hybrid Autoencoding Inference for Deep Topic Modeling. ICLR (Poster) Hao Zhang, Bo Chen, Dandan Guo, Mingyuan Zhou
2017	—	`conf`	Multi-base Station Energy Cooperation Based on Nash Q-Learning Algorithm. 5GWN Yabo Lv, Baogang Li, Wei Zhao, Dandan Guo, Yuanbin Yao
2017	J	`jnl`	Physical Layer Security and Optimal Multi-Time-Slot Power Allocation of SWIPT System Powered by Hybrid Energy. Inf. Dandan Guo, Baogang Li, Wei Zhao
2017	J	`jnl`	The prediction of a pathogenesis-related secretome of Puccinia helianthi through high-throughput transcriptome analysis. BMC Bioinform. Lan Jing, Dandan Guo, Wenjie Hu, Xiaofan Niu
2015	J	`jnl`	一种基于源代码分析的程序变化影响路径集的生成方法 (Generation Method of Path Set Affected by Program Change Based on Source Code Analysis). 计算机科学 Dandan Guo, Ying Jiang
2012	J	`jnl`	An Ultra-Low-Cost High-Performance Bluetooth SoC in 0.11-µm CMOS. IEEE J. Solid State Circuits Sam Chun-Geik Tan, Fei Song, Renliang Zheng, Jiqing Cui, Guoqin Yao, Litian Tang, Yuejin Yang, Dandan Guo, Alexander Tanzil, Junmin Cao, Ming Kong, KianTiong Wong, Soong Lin Chew, Chee-Lee Heng, Osama Shana'a, Guang-Kaai Dehng
2011	—	`conf`	An ultra-low-cost Bluetooth SOC in 0.11-μm CMOS. A-SSCC Sam Chun-Geik Tan, Fei Song, Renliang Zheng, Jiqing Cui, Guoqin Yao, Litian Tang, Yuejin Yang, Dandan Guo, Alexander Tanzil, Junmin Cao, Ming Kong, KianTiong Wong, Chee-Lee Heng, Osama Shana'a, Guang-Kaai Dehng