Yonggang Zhang

87 papers A* 38B 1Journal 45Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs. AAAI Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye
2026	J	`jnl`	FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients. CoRR Tian Wen, Zhiqin Yang, Yonggang Zhang, Xuefeng Jiang, Hao Peng, Yuwei Wang, Bo Han
2026	J	`jnl`	Optimizing KBQA by Correcting LLM-Generated Non-Executable Logical Form Through Knowledge-Assisted Path Reconstruction. IEEE Trans. Knowl. Data Eng. Ranran Bu, Jianqi Gao, Jian Cao, Hongming Cai, Jinghua Tang, Yonggang Zhang
2026	J	`jnl`	Parameterization of Volume Sampling for Active Learning of Radiance Field. IEEE Trans. Vis. Comput. Graph. Ruiqi Li, Yiu-ming Cheung, Zhikai Hu, Yonggang Zhang
2025	J	`jnl`	Characterizing Submanifold Region for Out-of-Distribution Detection. IEEE Trans. Knowl. Data Eng. Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang
2025	A*	`conf`	Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). ICDE Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang
2025	A*	`conf`	Component-Level Segmentation for Oracle Bone Inscription Decipherment. AAAI Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang
2025	J	`jnl`	Consistent prompt learning for vision-language models. Knowl. Based Syst. Yonggang Zhang, Xinmei Tian
2025	J	`jnl`	Detecting Generated Images by Fitting Natural Image Distributions. CoRR Yonggang Zhang, Jun Nie, Xinmei Tian, Mingming Gong, Kun Zhang, Bo Han
2025	—	`conf`	Distributional Prototype Learning for Out-of-distribution Detection. KDD (1) Bo Peng, Jie Lu, Yonggang Zhang, Guangquan Zhang, Zhen Fang
2025	A*	`conf`	Enhancing Target-unspecific Tasks through a Features Matrix. ICML Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu
2025	J	`jnl`	Enhancing Target-unspecific Tasks through a Features Matrix. CoRR Fangming Cui, Yonggang Zhang, Xuan Wang, Xinmei Tian, Jun Yu
2025	J	`jnl`	FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning. CoRR Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, Yixuan Yuan
2025	A*	`conf`	Hot-pluggable Federated Learning: Bridging General and Personalized FL via Dynamic Selection. ICLR Lei Shen, Zhenheng Tang, Lijun Wu, Yonggang Zhang, Xiaowen Chu, Tao Qin, Bo Han
2025	J	`jnl`	InsGNN: Interpretable spatio-temporal graph neural networks via information bottleneck. Inf. Fusion Hui Fang, Haishuai Wang, Yang Gao, Yonggang Zhang, Jiajun Bu, Bo Han, Hui Lin
2025	—	`conf`	Interpret and Improve In-Context Learning via the Lens of Input-Label Mappings. ACL (1) Chenghao Sun, Zhen Huang, Yonggang Zhang, Le Lu, Houqiang Li, Xinmei Tian, Xu Shen, Jieping Ye
2025	A*	`conf`	Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. ICLR Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye
2025	J	`jnl`	Leveraging Submodule Linearity Enhances Task Arithmetic Performance in LLMs. CoRR Rui Dai, Sile Hu, Xu Shen, Yonggang Zhang, Xinmei Tian, Jieping Ye
2025	A*	`conf`	MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection. ICLR Zhuoxiao Chen, Junjie Meng, Mahsa Baktashmotlagh, Yonggang Zhang, Zi Huang, Yadan Luo
2025	J	`jnl`	MetaGeno: a chromosome-wise multi-task genomic framework for ischaemic stroke risk prediction. Briefings Bioinform. Yue Yang, Kairui Guo, Yonggang Zhang, Zhen Fang, Hua Lin, Mark Grosser, Deon Venter, Weihai Lu, Mengjia Wu, Dennis Cordato, Guangquan Zhang, Jie Lu
2025	A*	`conf`	Mitigating Forgetting in Adapting Pre-trained Language Models to Text Processing Tasks via Consistency Alignment. WWW Jianqi Gao, Hao Wu, Yiu-ming Cheung, Jian Cao, Hang Yu, Yonggang Zhang
2025	J	`jnl`	Out-of-Distribution Detection with Virtual Outlier Smoothing. Int. J. Comput. Vis. Jun Nie, Yadan Luo, Shanshan Ye, Yonggang Zhang, Xinmei Tian, Zhen Fang
2025	J	`jnl`	SENA: Leveraging set-level consistency adversarial learning for robust pre-trained language model adaptation. Knowl. Based Syst. Jianqi Gao, Jian Cao, Hang Yu, Yonggang Zhang, Zhen Fang
2025	J	`jnl`	Semantic-guided Fine-tuning of Foundation Model for Long-tailed Visual Recognition. CoRR Yufei Peng, Yonggang Zhang, Yiu-ming Cheung
2025	J	`jnl`	Shaping pre-trained language models for task-specific embedding generation via consistency calibration. Neural Networks Jianqi Gao, Hang Yu, Yiu-ming Cheung, Jian Cao, Raymond Chi-Wing Wong, Yonggang Zhang
2025	—	`conf`	Tracing and Dissecting How LLMs Recall Factual Knowledge for Real World Questions. ACL (1) Yiqun Wang, Chaoqun Wan, Sile Hu, Yonggang Zhang, Xiang Tian, Yaowu Chen, Xu Shen, Jieping Ye
2024	B	`conf`	Component-Level Oracle Bone Inscription Retrieval. ICMR Zhikai Hu, Yiu-ming Cheung, Yonggang Zhang, Peiying Zhang, Puiling Tang
2024	A*	`conf`	ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection. ICLR Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
2024	J	`jnl`	ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection. CoRR Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
2024	J	`jnl`	Detecting Discrepancies Between AI-Generated and Natural Images Using Uncertainty. CoRR Jun Nie, Yonggang Zhang, Tongliang Liu, Yiu-ming Cheung, Bo Han, Xinmei Tian
2024	A*	`conf`	Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. NeurIPS Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024	J	`jnl`	Enhancing Multiple Dimensions of Trustworthiness in LLMs via Sparse Activation Control. CoRR Yuxin Xiao, Chaoqun Wan, Yonggang Zhang, Wenxiao Wang, Binbin Lin, Xiaofei He, Xu Shen, Jieping Ye
2024	A*	`conf`	Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting. ICLR Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
2024	J	`jnl`	Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting. CoRR Rong Dai, Yonggang Zhang, Ang Li, Tongliang Liu, Xun Yang, Bo Han
2024	J	`jnl`	Expert-level diagnosis of pediatric posterior fossa tumors via consistency calibration. Knowl. Based Syst. Chenghao Sun, Zihan Yan, Yonggang Zhang, Xinmei Tian, Jian Gong
2024	A*	`conf`	FedImpro: Measuring and Improving Client Update in Federated Learning. ICLR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024	J	`jnl`	FedImpro: Measuring and Improving Client Update in Federated Learning. CoRR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xinmei Tian, Tongliang Liu, Bo Han, Xiaowen Chu
2024	A*	`conf`	Federated Learning with Extremely Noisy Clients via Negative Distillation. AAAI Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
2024	A*	`conf`	From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. ICML Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye
2024	J	`jnl`	From Yes-Men to Truth-Tellers: Addressing Sycophancy in Large Language Models with Pinpoint Tuning. CoRR Wei Chen, Zhen Huang, Liang Xie, Binbin Lin, Houqiang Li, Le Lu, Xinmei Tian, Deng Cai, Yonggang Zhang, Wenxiao Wang, Xu Shen, Jieping Ye
2024	A*	`conf`	FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. NeurIPS Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024	J	`jnl`	FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion. CoRR Zhenheng Tang, Yonggang Zhang, Peijie Dong, Yiu-ming Cheung, Amelie Chi Zhou, Bo Han, Xiaowen Chu
2024	A*	`conf`	Interpreting and Improving Large Language Models in Arithmetic Calculation. ICML Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye
2024	J	`jnl`	Interpreting and Improving Large Language Models in Arithmetic Calculation. CoRR Wei Zhang, Chaoqun Wan, Yonggang Zhang, Yiu-ming Cheung, Xinmei Tian, Xu Shen, Jieping Ye
2024	A*	`conf`	Learning to Shape In-distribution Feature Space for Out-of-distribution Detection. NeurIPS Yonggang Zhang, Jie Lu, Bo Peng, Zhen Fang, Yiu-ming Cheung
2024	A*	`conf`	NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. ICLR Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024	J	`jnl`	NoiseDiffusion: Correcting Noise for Image Interpolation with Diffusion Models beyond Spherical Linear Interpolation. CoRR Pengfei Zheng, Yonggang Zhang, Zhen Fang, Tongliang Liu, Defu Lian, Bo Han
2024	A*	`conf`	Out-of-Distribution Detection with Negative Prompts. ICLR Jun Nie, Yonggang Zhang, Zhen Fang, Tongliang Liu, Bo Han, Xinmei Tian
2024	J	`jnl`	Rethinking Improved Privacy-Utility Trade-off with Pre-existing Knowledge for DP Training. CoRR Yu Zheng, Wenchao Zhang, Yonggang Zhang, Wei Song, Kai Zhou, Bo Han
2024	A*	`conf`	Robust Training of Federated Models with Extremely Label Deficiency. ICLR Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
2024	J	`jnl`	Robust Training of Federated Models with Extremely Label Deficiency. CoRR Yonggang Zhang, Zhiqin Yang, Xinmei Tian, Nannan Wang, Tongliang Liu, Bo Han
2023	A*	`conf`	Continual Named Entity Recognition without Catastrophic Forgetting. EMNLP Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang
2023	J	`jnl`	Continual Named Entity Recognition without Catastrophic Forgetting. CoRR Duzhen Zhang, Wei Cong, Jiahua Dong, Yahan Yu, Xiuyi Chen, Yonggang Zhang, Zhen Fang
2023	A*	`conf`	FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. NeurIPS Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han
2023	J	`jnl`	FedFed: Feature Distillation against Data Heterogeneity in Federated Learning. CoRR Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han
2023	J	`jnl`	FedML Parrot: A Scalable Federated Learning System via Heterogeneity-aware Scheduling on Sequential and Hierarchical Training. CoRR Zhenheng Tang, Xiaowen Chu, Ryan Yide Ran, Sunwoo Lee, Shaohuai Shi, Yonggang Zhang, Yuxin Wang, Alex Qiaozhong Liang, Salman Avestimehr, Chaoyang He
2023	J	`jnl`	Federated Learning with Extremely Noisy Clients via Negative Distillation. CoRR Yang Lu, Lin Chen, Yonggang Zhang, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang
2023	A*	`conf`	Hard Sample Matters a Lot in Zero-Shot Quantization. CVPR Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan
2023	J	`jnl`	Hard Sample Matters a Lot in Zero-Shot Quantization. CoRR Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan
2023	A*	`conf`	Invariant Learning via Probability of Sufficient and Necessary Causes. NeurIPS Mengyue Yang, Yonggang Zhang, Zhen Fang, Yali Du, Furui Liu, Jean-Francois Ton, Jianhong Wang, Jun Wang
2023	J	`jnl`	Invariant Learning via Probability of Sufficient and Necessary Causes. CoRR Mengyue Yang, Zhen Fang, Yonggang Zhang, Yali Du, Furui Liu, Jean-Francois Ton, Jun Wang
2023	J	`jnl`	Learning to Augment Distributions for Out-of-Distribution Detection. CoRR Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
2023	A*	`conf`	Learning to Augment Distributions for Out-of-distribution Detection. NeurIPS Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
2023	A*	`conf`	Moderately Distributional Exploration for Domain Generalization. ICML Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian
2023	J	`jnl`	Moderately Distributional Exploration for Domain Generalization. CoRR Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian
2023	A*	`conf`	Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization. ICLR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Bingzhe Wu, Yonggang Zhang, Kaili Ma, Han Yang, Peilin Zhao, Bo Han, James Cheng
2023	A*	`conf`	SODA: Robust Training of Test-Time Data Adaptors. NeurIPS Zige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang, Bo Han
2023	J	`jnl`	SODA: Robust Training of Test-Time Data Adaptors. CoRR Zige Wang, Yonggang Zhang, Zhen Fang, Long Lan, Wenjing Yang, Bo Han
2022	A*	`conf`	Adversarial Robustness Through the Lens of Causality. ICLR Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
2022	J	`jnl`	Invariance Principle Meets Out-of-Distribution Generalization on Graphs. CoRR Yongqiang Chen, Yonggang Zhang, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs. NeurIPS Yongqiang Chen, Yonggang Zhang, Yatao Bian, Han Yang, Kaili Ma, Binghui Xie, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Meta Convolutional Neural Networks for Single Domain Generalization. CVPR Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua
2022	J	`jnl`	Pareto Invariant Risk Minimization. CoRR Yongqiang Chen, Kaiwen Zhou, Yatao Bian, Binghui Xie, Kaili Ma, Yonggang Zhang, Han Yang, Bo Han, James Cheng
2022	A*	`conf`	Prompt Distribution Learning. CVPR Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
2022	J	`jnl`	Prompt Distribution Learning. CoRR Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian
2022	A*	`conf`	Towards Lightweight Black-Box Attack Against Deep Neural Networks. NeurIPS Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
2022	J	`jnl`	Towards Lightweight Black-Box Attacks against Deep Neural Networks. CoRR Chenghao Sun, Yonggang Zhang, Chaoqun Wan, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
2022	A*	`conf`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. ICLR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022	J	`jnl`	Understanding and Improving Graph Injection Attack by Promoting Unnoticeability. CoRR Yongqiang Chen, Han Yang, Yonggang Zhang, Kaili Ma, Tongliang Liu, Bo Han, James Cheng
2022	A*	`conf`	Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. ICML Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
2022	J	`jnl`	Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning. CoRR Zhenheng Tang, Yonggang Zhang, Shaohuai Shi, Xin He, Bo Han, Xiaowen Chu
2022	A*	`conf`	Watermarking for Out-of-distribution Detection. NeurIPS Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
2022	J	`jnl`	Watermarking for Out-of-distribution Detection. CoRR Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
2021	J	`jnl`	Adversarial Robustness through the Lens of Causality. CoRR Yonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu, Xinmei Tian, Bo Han, Bernhard Schölkopf, Kun Zhang
2021	A*	`conf`	Class-Disentanglement and Applications in Adversarial Detection and Defense. NeurIPS Kaiwen Yang, Tianyi Zhou, Yonggang Zhang, Xinmei Tian, Dacheng Tao
2020	A*	`conf`	Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks. ICML Yonggang Zhang, Ya Li, Tongliang Liu, Xinmei Tian
2020	J	`jnl`	Principal Component Adversarial Example. IEEE Trans. Image Process. Yonggang Zhang, Xinmei Tian, Ya Li, Xinchao Wang, Dacheng Tao