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Haozhao Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

57

Venues

23

Active years

2018–2026

Best venue rank

A*

Where they publish

Papers

57 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAIFedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak
2026AAAIData-Centric Sequential Recommendation with Relation-Augmented Generation.Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li
2026AAAICausality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs.Yuxuan Liu, Wenchao Xu, Haozhao Wang, Zhiming He, Zhaofeng Shi, Chongyang Xu, Peichao Wang, Boyuan Zhang
2026AAAIUnbiased Rectification for Sequential Recommender Systems Under Fake Orders.Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang, Ruixuan Li
2026AAAIRipple Shapley: Data Influence Attribution in One Federated Training Run.Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao, Zhiyong Xu
2026ACLUMPIRE: Unveiling LLM-generated Posts via Redundant Expressions.Xiaoquan Yi, Haixing Wu, Haozhao Wang, Yichen Li, Yuhua Li, Rui Zhang, Ruixuan Li
2026INFOCOMHALO: Semantic-Aware Distributed LLM Inference in Lossy Edge Network.Peirong Zheng, Wenchao Xu, Haozhao Wang, Jinyu Chen, Xuemin Sherman Shen
2026WWWKE-FedRS: Tackling Data Sparsity in Federated Recommendation via Knowledge Enhancement.Jiayu Bao, Hongjian Shi, Guanyu Zhang, Rui Zhou, Haozhao Wang, Yuan Liu
2026WWWpFedDKS: Detached Knowledge Sharing for Personalized Federated Learning.Haozhao Wang, Wenchao Xu, Jingzhi Wang, Yunfeng Fan, Xiaoquan Yi, Rui Zhang
2026WWWSelf-Speculative Decoding for On-device MoE Acceleration.Peirong Zheng, Wenchao Xu, Haozhao Wang
2025ICASSPMultilevel Semantic-Aware Model for AI-Generated Video Quality Assessment.Jiaze Li, Haoran Xu, Shiding Zhu, Junwei He, Haozhao Wang
2025ICCVMind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack.Xingshuo Han, Xuanye Zhang, Xiang Lan, Haozhao Wang, Shengmin Xu, Shen Ren, Jason Zeng, Ming Wu, Michael Heinrich, Tianwei Zhang
2025ICLRSelf-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models.Fushuo Huo, Wenchao Xu, Zhong Zhang, Haozhao Wang, Zhicheng Chen, Peilin Zhao
2025ICLRBreaking Free from MMI: A New Frontier in Rationalization by Probing Input Utilization.Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, Zhigang Zeng, Ruixuan Li
2025ICMLBeyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics.Shiwei Li, Xiandi Luo, Xing Tang, Haozhao Wang, Hao Chen, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025ICMLThe Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning.Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2025ICMLFedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence.Yichen Li, Yuying Wang, Haozhao Wang, Yining Qi, Tianzhe Xiao, Ruixuan Li
2025ICMLAdversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets.Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li
2025ICMLBSemiFL: Semi-supervised Federated Learning via a Bayesian Approach.Haozhao Wang, Shengyu Wang, Jiaming Li, Hao Ren, Xingshuo Han, Wenchao Xu, Shangwei Guo, Tianwei Zhang, Ruixuan Li
2025IJCAIDaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information.Yun Xin, Jianfeng Lu, Shuqin Cao, Gang Li, Haozhao Wang, Guanghui Wen
2025IJCNNFederated Transformed Sampling Comparison for Multi-client Missing Value Imputation.Duyu Chen, Haozhao Wang, Zhiwei Chen, Ruixuan Li
2025MOBICOMPoster: Coda: Context-aware Acceleration for Distributed LLM Decoding in Edge.Peirong Zheng, Wenchao Xu, Haozhao Wang, Jinyu Chen
2025WWWPersonalized Federated Recommendation for Cold-Start Users via Adaptive Knowledge Fusion.Yichen Li, Yijing Shan, Yi Liu, Haozhao Wang, Wei Wang, Yi Wang, Ruixuan Li
2025WWWPrivacy-Friendly Cross-Domain Recommendation via Distilling User-irrelevant Information.Cheng Wang, Wenchao Xu, Haozhao Wang, Wei Liu, Ruixuan Li
2024AAAIDecoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling.Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li
2024AAAIProCC: Progressive Cross-Primitive Compatibility for Open-World Compositional Zero-Shot Learning.Fushuo Huo, Wenchao Xu, Song Guo, Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu
2024AAAINon-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement.Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Yunfeng Fan
2024AAAIKnowledge-Aware Parameter Coaching for Personalized Federated Learning.Mingjian Zhi, Yuanguo Bi, Wenchao Xu, Haozhao Wang, Tianao Xiang
2024CCSVisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice.Xingshuo Han, Haozhao Wang, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang
2024CVPRTowards Efficient Replay in Federated Incremental Learning.Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang
2024CVPRCFushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo
2024ECAIAdversarial Attack for Explanation Robustness of Rationalization Models.Yuankai Zhang, Lingxiao Kong, Haozhao Wang, Ruixuan Li, Jun Wang, Yuhua Li, Wei Liu
2024ECCVOvercome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection.Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo
2024ECCVPersonalized Federated Domain-Incremental Learning Based on Adaptive Knowledge Matching.Yichen Li, Wenchao Xu, Haozhao Wang, Yining Qi, Jingcai Guo, Ruixuan Li
2024HPCCAWSSS: Adaptive Weighted Statistical Space Smoothing for Regression with Imbalance Data.Xiaoquan Yi, Haozhao Wang, Zhenlong Zhu, Wei Liu, Wenchao Xu, Ruixuan Li
2024HPCCFedTA: Unsupervised Federated Prototype Learning with Temperature Adaptation.Juan Zhao, Xiaoquan Yi, Ruixuan Li, Yuhua Li, Haozhao Wang, Yichen Li, Zhiying Deng, Zijun Xu
2024ICASSPDisentangle Estimation of Causal Effects from Cross-Silo Data.Yuxuan Liu, Haozhao Wang, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang
2024ICDEEnhancing the Rationale-Input Alignment for Self-explaining Rationalization.Wei Liu, Haozhao Wang, Jun Wang, Zhiying Deng, Yuankai Zhang, Cheng Wang, Ruixuan Li
2024ICDESylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training.Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024ICLRFedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation.Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang
2024ICMLFedBAT: Communication-Efficient Federated Learning via Learnable Binarization.Shiwei Li, Wenchao Xu, Haozhao Wang, Xing Tang, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li
2024IJCAIDual Expert Distillation Network for Generalized Zero-Shot Learning.Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingming Liang, Jie Zhang, Haozhao Wang, Kang Wei, Xiaofeng Cao
2024INFOCOMOTAS: An Elastic Transformer Serving System via Token Adaptation.Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng
2024KDDFedNLR: Federated Learning with Neuron-wise Learning Rates.Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang
2024WWWFedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices.Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
2023ACLMGR: Multi-generator Based Rationalization.Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Xinyang Li, Yuankai Zhang, Yang Qiu
2023CVPRPMR: Prototypical Modal Rebalance for Multimodal Learning.Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junxiao Wang, Song Guo
2023CVPRDaFKD: Domain-aware Federated Knowledge Distillation.Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng
2023ECAIXFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection.Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang, Xiaoquan Yi, Zhiying Deng
2023INFOCOMAOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation.Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, Pan Zhou
2023KDDDecoupled Rationalization with Asymmetric Learning Rates: A Flexible Lipschitz Restraint.Wei Liu, Jun Wang, Haozhao Wang, Ruixuan Li, Yang Qiu, Yuankai Zhang, Jie Han, Yixiong Zou
2022DACSign bit is enough: a learning synchronization framework for multi-hop all-reduce with ultimate compression.Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang, Weihua Zhuang, Jie Zhang
2021HPCCHotFed: Hot Start through Self-Supervised Learning in Federated Learning.Juan Zhao, Ruixuan Li, Haozhao Wang, Zijun Xu
2021SIGIRDCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction.Jing Li, Dafei Yin, Haozhao Wang, Yonggang Wang
2019ICDCSHeterogeneity-aware Gradient Coding for Straggler Tolerance.Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li
2019ICPPOSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning.Haozhao Wang, Song Guo, Ruixuan Li
2018KSEMStock Price Prediction Using Time Convolution Long Short-Term Memory Network.Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Olivier Habimana, Haozhao Wang