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ORCIDBaochun Li
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- affiliation: University of Toronto, Canada
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2020 – today
- 2024
[j140]Ningxin Su
, Baochun Li:
MLOps in the Metaverse: Human-Centric Continuous Integration. IEEE J. Sel. Areas Commun. 42(3): 737-751 (2024)- [j139]Fei Wang, Baochun Li, Bo Li:
Federated Unlearning and Its Privacy Threats. IEEE Netw. 38(2): 294-300 (2024) - [j138]Yufei Kang, Baochun Li:
Polaris: Accelerating Asynchronous Federated Learning With Client Selection. IEEE Trans. Cloud Comput. 12(2): 446-458 (2024) - [j137]Xinglong Diao, Huaxi Gu, Wenting Wei, Guoyong Jiang, Baochun Li:
Deep Reinforcement Learning Based Dynamic Flowlet Switching for DCN. IEEE Trans. Cloud Comput. 12(2): 580-593 (2024) - [j136]Yuechen Tao, Bo Li, Baochun Li:
On Atomicity and Confidentiality Across Blockchains Under Failures. IEEE Trans. Knowl. Data Eng. 36(2): 766-780 (2024) - [j135]Wanyu Lin, Baochun Li:
Status-Aware Signed Heterogeneous Network Embedding With Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4580-4592 (2024) - [j134]Fei Wang, Ethan Hugh, Baochun Li:
More Than Enough is Too Much: Adaptive Defenses Against Gradient Leakage in Production Federated Learning. IEEE/ACM Trans. Netw. 32(4): 3061-3075 (2024) - [j133]Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang:
Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively. IEEE Trans. Parallel Distributed Syst. 35(7): 1155-1173 (2024) - [c296]Dixi Yao, Baochun Li:
PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search. AAAI 2024: 16398-16406 - [c295]Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li:
Permutation Equivariance of Transformers and its Applications. CVPR 2024: 5987-5996 - [c294]Chenghao Hu, Baochun Li:
When the Edge Meets Transformers: Distributed Inference with Transformer Models. ICDCS 2024: 82-92 - [c293]Sijia Chen, Ningxin Su, Baochun Li:
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning. ICDCS 2024: 891-901 - [c292]Feng Cheng, Jiang Xiao, Cunyang Liu, Shijie Zhang, Yifan Zhou, Bo Li, Baochun Li, Hai Jin:
SharDAG: Scaling DAG-Based Blockchains Via Adaptive Sharding. ICDE 2024: 2068-2081 - [c291]Sijia Chen, Baochun Li, Di Niu:
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. ICLR 2024 - [c290]Sijia Chen, Baochun Li:
Toward Adaptive Reasoning in Large Language Models with Thought Rollback. ICML 2024 - [c289]Salma Emara, Daniel Liu, Fei Wang, Baochun Li:
Cascade: Enhancing Reinforcement Learning with Curriculum Federated Learning and Interference Avoidance - A Case Study in Adaptive Bitrate Selection. INFOCOM (Workshops) 2024: 1-6 - [c288]Ningxin Su, Chenghao Hu, Baochun Li, Bo Li:
Titanic: Towards Production Federated Learning with Large Language Models. INFOCOM 2024: 611-620 - [c287]Sijia Chen, Ningxin Su, Baochun Li:
Relic: Federated Conditional Textual Inversion with Prototype Alignment. IWQoS 2024: 1-6 - [c286]Chen Ying, Baochun Li, Bo Li:
Blade: Pushing the Performance Envelope of Asynchronous Federated Learning. IWQoS 2024: 1-6 - [c285]Qikai Lu, Di Niu, Mohammadamin Samadi Khoshkho, Baochun Li:
HyperFLoRA: Federated Learning with Instantaneous Personalization. SDM 2024: 824-832 - [i25]Sijia Chen, Baochun Li, Di Niu:
Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models. CoRR abs/2402.11140 (2024) - [i24]Tianhang Zheng, Baochun Li:
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning. CoRR abs/2402.16934 (2024) - [i23]Hengyuan Xu, Liyao Xiang, Xingjun Ma, Borui Yang, Baochun Li:
Hufu: A Modality-Agnositc Watermarking System for Pre-Trained Transformers via Permutation Equivariance. CoRR abs/2403.05842 (2024) - 2023
- [j132]Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang:
GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning. IEEE J. Sel. Areas Commun. 41(4): 902-914 (2023) - [j131]Kai Shen, Baochun Li:
Learning-Based Network Performance Estimators: The Next Frontier for Network Simulation. IEEE Netw. 37(4): 97-103 (2023) - [j130]Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Accelerating Distributed Learning in Non-Dedicated Environments. IEEE Trans. Cloud Comput. 11(1): 515-531 (2023) - [j129]Yuechen Tao, Bo Li, Baochun Li, Lei Chen:
Characterizing Performance Limits in Payment Channel Networks. IEEE Trans. Knowl. Data Eng. 35(3): 2353-2365 (2023) - [j128]Junpei Ni, Jiang Xiao, Shijie Zhang, Bo Li, Baochun Li, Hai Jin:
FLUID: Towards Efficient Continuous Transaction Processing in DAG-Based Blockchains. IEEE Trans. Knowl. Data Eng. 35(12): 12679-12692 (2023) - [j127]Jungang Yang, Liyao Xiang, Jiahao Yu, Xinbing Wang, Bin Guo, Zhetao Li, Baochun Li:
Matrix Gaussian Mechanisms for Differentially-Private Learning. IEEE Trans. Mob. Comput. 22(2): 1036-1048 (2023) - [j126]Liyao Xiang, Weiting Li, Jungang Yang, Xinbing Wang, Baochun Li:
Differentially-Private Deep Learning With Directional Noise. IEEE Trans. Mob. Comput. 22(5): 2599-2612 (2023) - [j125]Xue Sun, Wenwen Deng, Xudong Wei, Dingyi Fang, Baochun Li, Xiaojiang Chen:
Akte-Liquid: Acoustic-based Liquid Identification with Smartphones. ACM Trans. Sens. Networks 19(1): 18:1-18:24 (2023) - [j124]Xiaoyan Yin, Xiaoqian Mi, Sijia Yu, Yanjiao Chen, Baochun Li:
Harmony or Involution: Game Inspiring Age-of-Information Optimization for Edge Data Gathering in Internet of Things. ACM Trans. Sens. Networks 19(2): 46:1-46:23 (2023) - [c284]Baochun Li, Ningxin Su, Chen Ying, Fei Wang:
Plato: An Open-Source Research Framework for Production Federated Learning. ACM TUR-C 2023: 1-2 - [c283]Fei Wang, Salma Emara, Isidor Kaplan, Baochun Li, Timothy Zeyl:
Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication. ICC 2023: 1206-1211 - [c282]Elisa Bertino, Baochun Li, Ophir Frieder, Xiaohua Jia:
Welcome Message. ICDCS 2023: xxii-xxiii - [c281]Yuechen Tao, Bo Li, Baochun Li:
On Sharding Across Heterogeneous Blockchains. ICDE 2023: 477-489 - [c280]Ningxin Su, Baochun Li:
Asynchronous Federated Unlearning. INFOCOM 2023: 1-10 - [c279]Fei Wang, Ethan Hugh, Baochun Li:
More than Enough is Too Much: Adaptive Defenses against Gradient Leakage in Production Federated Learning. INFOCOM 2023: 1-10 - [c278]Chen Zhang, Boyang Zhou, Zhiqiang He, Zeyuan Liu, Yanjiao Chen, Wenyuan Xu, Baochun Li:
Oblivion: Poisoning Federated Learning by Inducing Catastrophic Forgetting. INFOCOM 2023: 1-10 - [c277]Ningxin Su, Baochun Li, Bo Li:
Multi-Server Stable Rendezvous for the Metaverse. MetaCom 2023: 322-329 - [c276]Tianhang Zheng, Hao Lan, Baochun Li:
Be Careful with PyPI Packages: You May Unconsciously Spread Backdoor Model Weights. MLSys 2023 - [c275]Tianhang Zheng, Baochun Li:
RDM-DC: Poisoning Resilient Dataset Condensation with Robust Distribution Matching. UAI 2023: 2541-2550 - [i22]Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li:
Shuffled Transformer for Privacy-Preserving Split Learning. CoRR abs/2304.07735 (2023) - [i21]Sijia Chen, Baochun Li:
Language-Guided Diffusion Model for Visual Grounding. CoRR abs/2308.09599 (2023) - 2022
- [j123]Chen Ying, Baochun Li, Xiaodi Ke, Lei Guo:
Raven: Scheduling Virtual Machine Migration During Datacenter Upgrades with Reinforcement Learning. Mob. Networks Appl. 27(1): 303-314 (2022) - [j122]Fei Wang, Baochun Li, Bo Li:
Quality-Oriented Federated Learning on the Fly. IEEE Netw. 36(5): 152-159 (2022) - [j121]Jungang Yang, Liyao Xiang, Ruidong Chen, Weiting Li, Baochun Li:
Differential Privacy for Tensor-Valued Queries. IEEE Trans. Inf. Forensics Secur. 17: 152-164 (2022) - [j120]Wanyu Lin, Baochun Li, Cong Wang:
Towards Private Learning on Decentralized Graphs With Local Differential Privacy. IEEE Trans. Inf. Forensics Secur. 17: 2936-2946 (2022) - [j119]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Corrections to "Optimal Streaming Erasure Codes Over the Three-Node Relay Network". IEEE Trans. Inf. Theory 68(10): 6527 (2022) - [j118]Salma Emara, Silas L. Fong, Baochun Li, Ashish Khisti, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Low-Latency Network-Adaptive Error Control for Interactive Streaming. IEEE Trans. Multim. 24: 1691-1706 (2022) - [j117]Salma Emara, Fei Wang, Baochun Li, Timothy Zeyl:
Pareto: Fair Congestion Control With Online Reinforcement Learning. IEEE Trans. Netw. Sci. Eng. 9(5): 3731-3748 (2022) - [j116]Li Chen, Shuhao Liu, Baochun Li:
Optimizing Network Transfers for Data Analytic Jobs Across Geo-Distributed Datacenters. IEEE Trans. Parallel Distributed Syst. 33(2): 403-414 (2022) - [j115]Lu Yang, Ping Li, Miaomiao Dong, Bo Bai, Dmitry Zaporozhets, Xiang Chen, Wei Han, Baochun Li:
C2: A Capacity-Centric Architecture Toward Future Wireless Networking. IEEE Trans. Wirel. Commun. 21(10): 8134-8147 (2022) - [c274]Tianhang Zheng, Baochun Li:
InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity. AsiaCCS 2022: 437-451 - [c273]Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li:
Pisces: efficient federated learning via guided asynchronous training. SoCC 2022: 370-385 - [c272]Wanyu Lin, Hao Lan, Hao Wang, Baochun Li:
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CVPR 2022: 13719-13728 - [c271]Sijia Chen, Baochun Li:
Multi-Modal Dynamic Graph Transformer for Visual Grounding. CVPR 2022: 15513-15522 - [c270]Yufei Kang, Baochun Li, Timothy Zeyl:
FedRL: Improving the Performance of Federated Learning with Non-IID Data. GLOBECOM 2022: 3023-3028 - [c269]Chen Ying, Baochun Li, Bo Li:
Tempo: Improving Training Performance in Cross-Silo Federated Learning. ICASSP 2022: 4358-4362 - [c268]Chenghao Hu, Baochun Li:
Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices. INFOCOM 2022: 330-339 - [c267]Tianhang Zheng, Baochun Li:
Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. INFOCOM 2022: 660-669 - [c266]Sijia Chen, Baochun Li:
Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending. INFOCOM 2022: 1469-1478 - [c265]Salma Emara, Fei Wang, Isidor Kaplan, Baochun Li:
Ivory: Learning Network Adaptive Streaming Codes. IWQoS 2022: 1-10 - [c264]Ningxin Su, Baochun Li:
How Asynchronous can Federated Learning Be? IWQoS 2022: 1-11 - [c263]Qingqing Yang, Xi Peng, Li Chen, Libin Liu, Jingze Zhang, Hong Xu, Baochun Li, Gong Zhang:
DeepQueueNet: towards scalable and generalized network performance estimation with packet-level visibility. SIGCOMM 2022: 441-457 - [i20]Wanyu Lin, Baochun Li, Cong Wang:
Towards Private Learning on Decentralized Graphs with Local Differential Privacy. CoRR abs/2201.09398 (2022) - [i19]Wanyu Lin, Hao Lan, Hao Wang, Baochun Li:
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CoRR abs/2203.15209 (2022) - [i18]Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li:
Pisces: Efficient Federated Learning via Guided Asynchronous Training. CoRR abs/2206.09264 (2022) - [i17]Peng Ye, Zhifeng Jiang, Wei Wang, Bo Li, Baochun Li:
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning. CoRR abs/2210.06771 (2022) - 2021
- [j114]Xiaoyan Yin, Yanjiao Chen, Cheng Xu, Sijia Yu, Baochun Li:
Matchmaker: Stable Task Assignment With Bounded Constraints for Crowdsourcing Platforms. IEEE Internet Things J. 8(3): 1599-1610 (2021) - [j113]Hai Jin, Xiaohai Dai, Jiang Xiao, Baochun Li, Huichuwu Li, Yan Zhang:
Cross-Cluster Federated Learning and Blockchain for Internet of Medical Things. IEEE Internet Things J. 8(21): 15776-15784 (2021) - [j112]Wenting Wei, Huaxi Gu, Baochun Li:
Congestion Control: A Renaissance with Machine Learning. IEEE Netw. 35(4): 262-269 (2021) - [j111]Xiaowen Chu, Xiaoming Fu, Baochun Li, Wei Wang, Hui Zang, Albert Y. Zomaya:
Guest Editorial: Interplay between Machine Learning and Networking Systems. IEEE Netw. 35(6): 64-66 (2021) - [j110]Jun Li, Baochun Li:
Demand-Aware Erasure Coding for Distributed Storage Systems. IEEE Trans. Cloud Comput. 9(2): 532-545 (2021) - [j109]Zhiming Hu, Baochun Li, Zheng Qin, Rick Siow Mong Goh:
Low Latency Big Data Processing without Prior Information. IEEE Trans. Cloud Comput. 9(4): 1521-1534 (2021) - [j108]Xiaoyan Yin, Xiao Hu, Yanjiao Chen, Xu Yuan, Baochun Li:
Signed-PageRank: An Efficient Influence Maximization Framework for Signed Social Networks. IEEE Trans. Knowl. Data Eng. 33(5): 2208-2222 (2021) - [j107]Guiyan Liu, Songtao Guo, Baochun Li, Chao Chen:
Joint Traffic-Aware Consolidated Middleboxes Selection and Routing in Distributed SDNs. IEEE Trans. Netw. Serv. Manag. 18(2): 1415-1429 (2021) - [j106]Wanyu Lin, Helei Cui, Baochun Li, Cong Wang:
Privacy-Preserving Similarity Search With Efficient Updates in Distributed Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 32(5): 1072-1084 (2021) - [j105]Li Chen, Yuan Feng, Baochun Li, Bo Li:
A Case for Pricing Bandwidth: Sharing Datacenter Networks With Cost Dominant Fairness. IEEE Trans. Parallel Distributed Syst. 32(5): 1256-1269 (2021) - [j104]Yanjiao Chen, Long Lin, Baochun Li, Qian Wang, Qian Zhang:
Silhouette: Efficient Cloud Configuration Exploration for Large-Scale Analytics. IEEE Trans. Parallel Distributed Syst. 32(8): 2049-2061 (2021) - [c262]Chen Chen, Hong Xu, Wei Wang, Baochun Li, Bo Li, Li Chen, Gong Zhang:
Communication-Efficient Federated Learning with Adaptive Parameter Freezing. ICDCS 2021: 1-11 - [c261]Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. ICML 2021: 6666-6679 - [c260]Hao Lan, Li Chen, Baochun Li:
Accelerated Device Placement Optimization with Contrastive Learning. ICPP 2021: 72:1-72:10 - [c259]Wanyu Lin, Baochun Li:
Medley: Predicting Social Trust in Time-Varying Online Social Networks. INFOCOM 2021: 1-10 - [c258]Tianhang Zheng, Baochun Li:
First-Order Efficient General-Purpose Clean-Label Data Poisoning. INFOCOM 2021: 1-10 - [c257]Hao Lan, Li Chen, Baochun Li:
EAGLE: Expedited Device Placement with Automatic Grouping for Large Models. IPDPS 2021: 599-608 - [c256]Zhenchang Xia, Yanjiao Chen, Libing Wu, Yu-Cheng Chou, Zhicong Zheng, Haoyang Li, Baochun Li:
A Multi-objective Reinforcement Learning Perspective on Internet Congestion Control. IWQoS 2021: 1-10 - [c255]Rui Han, Jiang Xiao, Xiaohai Dai, Shijie Zhang, Yi Sun, Baochun Li, Hai Jin:
Vassago: Efficient and Authenticated Provenance Query on Multiple Blockchains. SRDS 2021: 132-142 - [i16]Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. CoRR abs/2104.06643 (2021) - [i15]Lu Yang, Ping Li, Miaomiao Dong, Bo Bai, Dmitry Zaporozhets, Xiang Chen, Wei Han, Baochun Li:
What Should Future Wireless Network Architectures Be? CoRR abs/2110.03157 (2021) - 2020
- [j103]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Streaming Erasure Codes Over the Three-Node Relay Network. IEEE Trans. Inf. Theory 66(5): 2696-2712 (2020) - [j102]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Multiplexed Erasure Codes for Streaming Messages With Different Decoding Delays. IEEE Trans. Inf. Theory 66(7): 4007-4018 (2020) - [j101]Yanjiao Chen, Long Lin, Baochun Li:
Razor: Scaling Backend Capacity for Mobile Applications. IEEE Trans. Mob. Comput. 19(7): 1702-1714 (2020) - [j100]Hao Wang, Baochun Li:
Mitigating Bottlenecks in Wide Area Data Analytics via Machine Learning. IEEE Trans. Netw. Sci. Eng. 7(1): 155-166 (2020) - [j99]Xu Yuan, Xingliang Yuan, Yihe Zhang, Baochun Li, Cong Wang:
Enabling Encrypted Boolean Queries in Geographically Distributed Databases. IEEE Trans. Parallel Distributed Syst. 31(3): 634-646 (2020) - [j98]Hao Wang, Di Niu, Baochun Li:
Turbo: Dynamic and Decentralized Global Analytics via Machine Learning. IEEE Trans. Parallel Distributed Syst. 31(6): 1372-1386 (2020) - [j97]Xueling Lin, Jingjie Jiang, Calvin Hong Yi Li, Bo Li, Baochun Li:
Circa: collaborative code offloading among multiple mobile devices. Wirel. Networks 26(2): 823-841 (2020) - [c254]Wanyu Lin, Shengxiang Ji, Baochun Li:
Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. AsiaCCS 2020: 370-380 - [c253]Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Semi-dynamic load balancing: efficient distributed learning in non-dedicated environments. SoCC 2020: 431-446 - [c252]Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. CVPR 2020: 4173-4181 - [c251]Lingdong Wang, Liyao Xiang, Jiayu Xu, Jiaju Chen, Xing Zhao, Dixi Yao, Xinbing Wang, Baochun Li:
Context-Aware Deep Model Compression for Edge Cloud Computing. ICDCS 2020: 787-797 - [c250]Liyao Xiang, Lingdong Wang, Shufan Wang, Baochun Li:
Achieving Consensus in Privacy-Preserving Decentralized Learning. ICDCS 2020: 899-909 - [c249]Yuechen Tao, Bo Li, Jingjie Jiang, Hok Chu Ng, Cong Wang, Baochun Li:
On Sharding Open Blockchains with Smart Contracts. ICDE 2020: 1357-1368 - [c248]Salma Emara, Baochun Li, Yanjiao Chen:
Eagle: Refining Congestion Control by Learning from the Experts. INFOCOM 2020: 676-685 - [c247]Wanyu Lin, Zhaolin Gao, Baochun Li:
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. INFOCOM 2020: 914-923 - [c246]Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li:
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM 2020: 1698-1707 - [c245]Zhongjie Ba, Tianhang Zheng, Zhan Qin, Hanlin Yu, Liu Liu, Baochun Li, Xue Liu, Kui Ren:
Accelerometer-based smartphone eavesdropping. MobiCom 2020: 73:1-73:2 - [c244]Zhongjie Ba, Tianhang Zheng, Xinyu Zhang, Zhan Qin, Baochun Li, Xue Liu, Kui Ren:
Learning-based Practical Smartphone Eavesdropping with Built-in Accelerometer. NDSS 2020 - [i14]Tianhang Zheng, Sheng Liu, Changyou Chen, Junsong Yuan, Baochun Li, Kui Ren:
Towards Understanding the Adversarial Vulnerability of Skeleton-based Action Recognition. CoRR abs/2005.07151 (2020) - [i13]Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu:
Towards Assessment of Randomized Mechanisms for Certifying Adversarial Robustness. CoRR abs/2005.07347 (2020)
2010 – 2019
- 2019
- [j96]Xu Yuan, Xingliang Yuan, Baochun Li, Cong Wang:
Toward Secure and Scalable Computation in Internet of Things Data Applications. IEEE Internet Things J. 6(2): 3753-3763 (2019) - [j95]