[61] Jialiang Zhu, Hao Zheng, Wenchao Xu, Haozhao Wang*, Zhiming He, Yuxuan Liu, Shuang Wang, Qi Sun. Harmonizing Global and Local Class Imbalance for Federated Learning. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

[60] Yunfeng Fan, Wenchao Xu, Haozhao Wang, Song Guo. Cross-modal Representation Flattening for Multi-modal Domain Generalization. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec 9, 2024 – Dec 15, 2024. (CCF-A)

[59] Wei Liu, Zhiying Deng, Zhongyu Niu, Jun Wang, Haozhao Wang, YuanKai Zhang, Ruixuan Li. Is the MMI Criterion Necessary for Interpretability? Degenerating Non-causal Features to Plain Noise. The 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), Vancouver, Canada, Dec 9, 2024 – Dec 15, 2024. (CCF-A)

[58] Mingjian Zhi, Yuanguo Bi, Lin Cai, Wenchao Xu, Haozhao Wang, Tianao Xiang, and Qiang He. Knowledge-Aware Parameter Coaching for Communication-Efficient Personalized Federated Learning in Mobile Edge Computing.  IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

[57] Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi, Ruixuan Li. Hypernetwork-driven centralized contrastive learning for federated graph classification. World Wide Web (WWW) 27(5): 56 (2024). (CCF-B)

[56] Yichen Li, Wenchao Xu, Yining Qi, Haozhao Wang, Ruixuan Li, Song Guo. SR-FDIL: Synergistic Replay for Federated Domain-Incremental Learning. IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS), 2024. (CCF-A)

[55] Yunfeng Fan, Wenchao Xu, Haozhao Wang, Junhong Liu, Song Guo. Detached and Interactive Multimodal Learning. The 32nd ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, 28th October - 1st November, 2024. (CCF-A)

[54] Shiwei Li, Yingyi Cheng, Haozhao Wang*, Xing Tang, Shijie Xu, Weihong Luo, Yuhua Li, Dugang Liu, Xiuqiang He, Ruixuan Li. Masked Random Noise for Communication-Efficient Federated Learning. The 32nd ACM International Conference on Multimedia (ACM MM 2024), Melbourne, Australia, 28th October - 1st November, 2024. (CCF-A)

[53] Yuankai Zhang, Lingxiao Kong, Haozhao Wang*, Ruixuan Li*, Jun Wang, Yuhua Li and Wei Liu. Adversarial Attack for Explanation Robustness of Rationalization Models. The 27th European Conference on Artificial Intelligence (ECAI 2024), Santiago de Compostela, Spain, 19-24 October, 2024. (CCF-B, one of the top conferences in the European region.)

[52] Yunfeng Fan, Wenchao Xu, Haozhao Wang, Fushuo Huo, Jinyu Chen, Song Guo. Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection. The 18th European Conference on Computer Vision (ECCV 2024)，MiCo Milano，Sep 29th- Oct 4th, 2024. (CCF-B, one of the top three computer vision conferences.)

[51] Yichen Li, Wenchao Xu, Haozhao Wang*, Ruixuan Li*, Yining Qi*, Jingcai Guo. Personalized Federated Domain Incremental Learning based on Adaptive Knowledge Matching. The 18th European Conference on Computer Vision (ECCV 2024)， MiCo Milano，Sep 29th- Oct 4th, 2024 . (CCF-B, one of the top three computer vision conferences.)

[50] Haozhao Wang, Peirong Zheng, Xingshuo Han, Wenchao Xu, Ruixuan Li, Tianwei Zhang. FedNLR: Federated Learning with Neuron-wise Learning Rates. The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), Barcelona, Spain, 25-29 August 2024. (CCF-A)

[49] Xingshuo Han, Haozhao Wang*, Kangqiao Zhao, Gelei Deng, Yuan Xu, Hangcheng Liu, Han Qiu, Tianwei Zhang. VisionGuard: Secure and Robust Visual Perception of Autonomous Vehicles in Practice. ACM Conference on Computer and Communications Security (ACM CCS 2024). (CCF-A)

[48] Shiwei Li, Wenchao Xu, Haozhao Wang*, Xing Tang*, Yining Qi, Shijie Xu, Weihong Luo, Yuhua Li, Xiuqiang He, Ruixuan Li*. FedBAT: Communication-efficient Federated Learning via Learnable Binarization. The Forty-first International Conference on Machine Learning (ICML 2024), Vienna, Austria, 21st-27th July, 2024. (CCF-A)

[47] Zhijie Rao, Jingcai Guo, Xiaocheng Lu, Jingwen Liang, Jie Zhang, Haozhao Wang, Kang Wei, X. Cao. Dual Expert Distillation Network for Generalized Zero-Shot Learning. In the 33rd International Joint Conference on Artificial Intelligence (IJCAI 2024), Jeju Island, South Korea, August 03-09, 2024. (CCF-A)

[46] Jing Wu , Qimei Chen , Hao Jiang , Haozhao Wang, Yulai Xie , Wenzheng Xu , Pan Zhou , Zichuan Xu , Lixing Chen , Beibei Li, Xiumin Wang, Dapeng Wu. Joint Power and Coverage Control of Massive UAVs in Post-Disaster Emergency Networks: An Aggregative Game-Theoretic Learning Approach. IEEE Transactions on Network Science and Engineering (TNSE) 2024 (JCR Q1)

[45] Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang. Sylvie: 3D-adaptive and Universal System for Large-scale Graph Neural Network Training. In the 40th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, May 13-17, 2024 (CCF-A)

[44] Fushuo Huo, Wenchao Xu, Jingcai Guo, Haozhao Wang, Song Guo. C2KD: Bridging the Modality Gap for Cross-Modal Knowledge Distillation. The Thirty-Fifth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, USA, June 17-21, 2024 (CCF-A)

[43] Yichen Li, Qunwei Li, Haozhao Wang, Ruixuan Li, Wenliang Zhong, Guannan Zhang. Towards Efficient Replay in Federated Incremental Learning. The Thirty-Fifth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024), Seattle, USA, June 17-21, 2024 (CCF-A)

[42] Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang. FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. In: Proceedings of the 33th ACM Web Conference (WWW 2024), Singapore, May 13-th, 2024 (CCF-A)

[41] Haozhao Wang, Haoran Xu, Yichen Li, Yuan Xu, Ruixuan Li, Tianwei Zhang. FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation. In The Twelfth International Conference on Learning Representations (ICLR 2024), Vienna, Austria, May 7th to May 11th, 2024. (CCF-A)

[40] Zhaoyi Lu, Wenchao Xu, Xin Xie, Ming Tu, Haozhao Wang, Cunqing Hua. Physical Layer Overshadowing Attack on Semantic Communication System. IEEE International Conference on Communications (ICC 2024). Denver, CO, USA, 9–13 June 2024. (Top Conference in Communication Society)

[39] Duyu Chen, Wenchao Xu, Haozhao Wang, Yining Qi, RuixuanLi, Pan Zhou, Song Guo. Caching User-Generated Content in Distributed Autonomous Networks via Contextual Bandit. IEEE Transactions on Mobile Computing (TMC), 2024. (CCF-A)

[38] Yuxuan Liu, Haozhao Wang*, Shuang Wang, Zhiming He, Wenchao Xu, Jialiang Zhu, Fan Yang. Disentangle Estimation of Casual Effects from Cross-silo Data. The 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2024), Seoul, Korea, 14~19 April 2024.(CCF-B)

[37] Mingjian Zhi, Yuanguo Bi, Wenchao Xu, and Haozhao Wang, Tianao Xiang. Knowledge-Aware Parameter Coaching for Personalized Federated Learning. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20th-27th, 2024. (CCF-A)

[36] Fushuo Huo, Wenchao Xu, Jingcai Guo, and Haozhao Wang*, Yunfeng Fan. Non-Exemplar Online Class-incremental Continual Learning via Dual-prototype Self-augment and Refinement. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20th-27th, 2024. (CCF-A)

[35] Fushuo Huo, Wenchao Xu, Song Guo, and Jingcai Guo, Haozhao Wang, Ziming Liu, Xiaocheng Lu. ProCC: Progressive Cross-primitive Compatibility for Open-World Compositional Zero-Shot Learning. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20th-27th, 2024. (CCF-A)

[34] Jie Han, Yixiong Zou, Haozhao Wang, Jun Wang, Wei Liu, Yao Wu, Tao Zhang, Ruixuan Li. Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling. The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, February 20th-27th, 2024. (CCF-A)

[33] Wei Liu, Haozhao Wang*, Jun Wang, Zhiying Deng, YuanKai Zhang, Cheng Wang, Ruixuan Li. D-Separation for Causal Self-Explanation. 40th IEEE International Conference on Data Engineering (ICDE 2024), Utrecht, Netherlands, 13th-16th May, 2024. (CCF-A)

[32] Jinyu Chen, Wenchao Xu, Zicong Hong, Song Guo, Haozhao Wang, Jie Zhang, Deze Zeng. OTAS: An Elastic Transformer Serving System via Token Adaptation. The Forty-third IEEE International Conference on Computer Communications (INFOCOM 2024), 20–23 May 2024 // Vancouver, Canada. (CCF-A)

2023

[31] Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Zichuan Xu, Haozhao Wang, Xing Di, Weining Lu, Yu Cheng. Transform-Equivariant Consistency Learning for Temporal Sentence Grounding. ACM Transactions on Multimedia Computing, Communications, and Applications 2023 (TOMM), Volume 20, Issue 4, Article No.: 106, pp 1–19. (Q1, CCF-B)

[30] Jiashuo WANG, Haozhao Wang, Shichao Sun, Wenjie Li. Aligning Language Models with Human Preferences via a Bayesian Approach. Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec 10-16, 2023. (CCF-A)

[29] Wei Liu, Jun Wang*, Haozhao Wang*, Ruixuan Li*, Zhiying Deng, YuanKai Zhang, Yang Qiu. D-Separation for Causal Self-Explanation. Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, Dec 10-16, 2023. (CCF-A)

[28] Juan Zhao, Yuankai Zhang, Ruixuan Li, Yuhua Li, Haozhao Wang，Xiaoquan Yi, Zhiying Deng. XFed: Improving Explainability in Federated Learning by Intersection Over Union Ratio Extended Client Selection. The 26th European Conference on Artificial Intelligence (ECAI), Krakow, Poland, 30 September - 5 October 2023. (CCF-B)

[27] Jiaming Li, Zhenlong Zhu, Lang Lang, Haozhao Wang*，Ruixuan Li*, Wenchao Xu. Decompose, Then Reconstruct: A Framework of Network Structures for Click-Through Rate Prediction. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Turin, Italy, 18th-22rd September 2023. (CCF-B)

[26] Wenchao Xu, Haodong Wan, Haozhao Wang*, Nan Cheng, Quan Chen, Member, IEEE, Haibo Zhou, and Song Guo. Fast Packet Loss Inferring via Personalized Simulation-Reality Distillation. IEEE Transactions on Mobile Computing (TMC), 2023. (CCF-A)

[25] Wei Liu, Jun Wang*, Haozhao Wang*, Ruixuan Li*, Yang Qiu, YuanKai Zhang, Jie Han, Yixiong Zou. Decoupled Rationalization with Asymmetric Learning Rates. The 29th SIGKDD Conference on Knowledge Discovery and Data Mining - Research Track (KDD 2023), Long Beach, CA, USA, August 6th-10th, 2023. (CCF-A)

[24] Wenchao Xu, Haozhao Wang*, Zhaoyi Lu, Cunqing Hua, Nan Cheng and Song Guo. Mobile Collaborative Learning over Opportunistic Internet of Vehicles. IEEE Transactions on Mobile Computing (TMC), 2023, doi: 10.1109/TMC.2023.3273425. (CCF-A)

[23] Wei Liu, Haozhao Wang*, Jun Wang, Ruixuan Li, Xinyang Li, YuanKai Zhang and Yang Qiu. MGR: Multi-generator Based Rationalization. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, July 9th to July 14th, 2023. (CCF-A)

[22] Haozhao Wang, Yichen Li, Wenchao Xu, Ruixuan Li, Yufeng Zhan, Zhigang Zeng. DaFKD: Domain-aware Federated Knowledge Distillation. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 18-22, 2023. (CCF-A)

[21] Yunfeng Fan, Wenchao Xu, Haozhao Wang*, Junxiao Wang, Song Guo. PMR: Prototypical Modal Rebalance for Multimodal Learning. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver, Canada, June 18-22, 2023 (CCF-A) (*corresponding author)

[20] Feijie Wu, Song Guo, Haozhao Wang, Haobo Zhang, Zhihao Qu, Jie Zhang, and Ziming Liu. From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization. in Transactions on Parallel and Distributed Systems (TPDS 2023), vol. 34, no. 5, pp. 1548-1559, May 2023. (CCF-A)

[19] Haozhao Wang, Wenchao Xu, Yunfeng Fan, Ruixuan Li, and Pan Zhou. AOCC-FL: Federated Learning with Aligned Overlapping via Calibrated Compensation. The Forty-second IEEE Conference on Computer Communications (INFOCOM 2023), May 17-20, 2023, New York City, USA. (CCF-A)

[18] Daizong Liu, Pan Zhou, Zichuan Xu, Haozhao Wang, Ruixuan Li. Few-Shot Temporal Sentence Grounding via Memory-Guided Semantic Learning. IEEE Transactions on Circuits and Systems for Video Technology, MAY 2023, Volume: 33, Issue: 5, Page(s): 2491-2505 (Q1).

2022

[17] Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, Yuankai Zhang. FR: Folded Rationalization with a Unified Encoder. Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS 2022), New Orleans, LA, USA, Nov 28th - Dec 3rd, 2022. (CCF-A).

[16] Jie Zhang, Zhihao Qu, Song Guo, Deze Zeng, Haozhao Wang，Qifeng Liu, Albert Zomaya. Adaptive Vertical Federated Learning on Unbalanced Features. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 33, no. 10, pp. 4006-4018, 2022. (CCF-A)

[15] Feijie Wu, Shiqi He, Song Guo, Zhihao Qu, Haozhao Wang,Weihuang Zhuang, and Jie zhang. Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression. The 59^th ACM/IEEE Design Automation Conference (DAC), San Francisco, California, USA, July 10 - 14, 2022. (CCF-A)

2021

[14] Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, and Weihuang Zhuang. LOSP: Overlap Synchronization Parallel with Local Compensation for Fast Distributed Training. IEEE Journal on Selected Areas in Communications (JSAC), vol. 39, no. 8, pp. 2541-2557, Aug. 2021. (IF=9.069, CCF-A).

[13] Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Yutong Yang, Zhihao Qu, and Yi Wang. Heterogeneity-aware Gradient Coding for Tolerating and Leveraging Stragglers. IEEE Transactions on Computers (TC), vol. 71, no. 4, pp. 779-794, 1 April 2022. (IF=4.006, CCF-A)

[12] Haozhao Wang, Song Guo, Zhihao Qu, Ruixuan Li, Ziming Liu. Error Compensated Sparsification for Communication-Efficient Decentralized Training Edge Environment. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. 33, no. 1, pp. 14-25, 1 Jan. 2022. (IF=3.215, CCF-A).

[11] Haozhao Wang, Zhihao Qu, Song Guo, Xin Gao, Ruixuan Li, Baoliu Ye. Intermittent Pulling with Local Compensation for Communication-Efficient Distributed Learning. IEEE Transactions on Emerging Topics in Computing (TETC), vol. 10, no. 2, pp. 779-791, April 2022. (Q1, IF=6.069).

[10] Haozhao Wang, Zhihao Qu, Qihua Zhou, Haobo Zhang, Boyuan Luo, Wenchao Xu, Song Guo, Ruixuan Li. A Comprehensive Survey on Training Acceleration for Large Machine Learning Models in IoT. In IEEE Internet of Things Journal (IoTJ), vol. 9, no. 2, pp. 939-963, Jan.15, 2022. (IoTJ, IF=10.127).

[09] Haozhao Wang, Song Guo, Bin Tang, Ruixuan Li, Chengjie Li. Heterogeneity-aware Gradient Coding for Straggler Tolerance. The 39th IEEE International Conference on Distributed Computing Systems (ICDCS), Dallas, TX, USA, 7-10 July 2019. (CCF-B).

[08] Haozhao Wang, Song Guo, Ruixuan Li. OSP: Overlapping Computation and Communication in Parameter Server for Fast Machine Learning. The 48th IEEE International Conference on Parallel Processing (ICPP), Kyoto, Japan, Aug 2019. (CCF-B)

[07] Haozhao Wang, Ruixuan Li, Chengjie Li, Pan Zhou, Yuhua Li, Song Guo, and Keqin Li. Gradient Scheduling With Global Momentum for Asynchronous Federated Learning in Edge Environment. IEEE Internet on Things Journal, vol. 9, no. 19, pp. 18817-18828, 1 Oct.1, 2022. (IoTJ, IF=10.127).

[06] Zhihao Qu, Song Guo, Haozhao Wang, Baoliu Ye, Yi Wang, Albert Y. Zomaya, Bin Tang. Partial Synchronization to Accelerate Federated Learning over Relay-Assisted Edge Networks. IEEE Transactions on Mobile Computing, vol. 21, no. 12, pp. 4502-4516, 1 Dec. 2022. (TMC, IF=4.712, CCF-A).

[05] Jie Zhang, Zhihao Qu, Chenxi Chen, Haozhao Wang, Yufeng Zhan, Baoliu Ye, Song Guo. Edge Learning: the Enabling Technology for Distributed Big Data Analytics in the Edge. ACM Computing Surveys, Volume 54, Issue 7, Article No.: 151, pp 1–36. (CSUR, IF=10.024).

[04] Je Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu. Parameterized Knowledge Transfer for Personalized Federated Learning. The 35th Conference on Neural Information Processing Systems, Virtual Event, Dec 7-10 2021 (NeurIPS, CCF-A)

[03] Jing Li, Gaosheng Wu, Dafei Yin, Haozhao Wang, Yonggang Wang. DCSpell: A Detector-Corrector Framework for Chinese Spelling Error Correction. The 44th International ACM SIGIR Conference on Research and Development in Information, July 11-15 2021 (SIGIR, CCF-A).

[02] Xukuan Zhan, Yuhua Li, Ruixuan Li, Xiwu Gu, Habimana O, Haozhao Wang. Stock Price Prediction Using Time Convolution Long Short-Term Memory Network. The 11th International conference on Knowledge Science, Engineering and Management, China, 17-19 Aug 2018 (KSEM).

[01] Juan Zhao, Ruixuan Li, Haozhao Wang, and Zijun Xu. HotFed: Hot Start through Self-Supervised Learning in Federated Learning. The 23rd IEEE International Conference on High-Performance Computing and Communications (HPCC), China, 17-19 Dec 2021.