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- affiliation: University of Toronto, Canada
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2020 – today
- 2023
[j129]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)- [j128]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) - [j127]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) - [j126]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) - [j125]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) - [j124]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) - [i21]Hengyuan Xu, Liyao Xiang, Hangyu Ye, Dixi Yao, Pengzhi Chu, Baochun Li:
Shuffled Transformer for Privacy-Preserving Split Learning. CoRR abs/2304.07735 (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) - [c273]Tianhang Zheng, Baochun Li:
InfoCensor: An Information-Theoretic Framework against Sensitive Attribute Inference and Demographic Disparity. AsiaCCS 2022: 437-451 - [c272]Zhifeng Jiang, Wei Wang, Baochun Li, Bo Li:
Pisces: efficient federated learning via guided asynchronous training. SoCC 2022: 370-385 - [c271]Wanyu Lin, Hao Lan, Hao Wang, Baochun Li:
OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. CVPR 2022: 13719-13728 - [c270]Sijia Chen, Baochun Li:
Multi-Modal Dynamic Graph Transformer for Visual Grounding. CVPR 2022: 15513-15522 - [c269]Yufei Kang, Baochun Li, Timothy Zeyl:
FedRL: Improving the Performance of Federated Learning with Non-IID Data. GLOBECOM 2022: 3023-3028 - [c268]Chen Ying, Baochun Li, Bo Li:
Tempo: Improving Training Performance in Cross-Silo Federated Learning. ICASSP 2022: 4358-4362 - [c267]Chenghao Hu, Baochun Li:
Distributed Inference with Deep Learning Models across Heterogeneous Edge Devices. INFOCOM 2022: 330-339 - [c266]Tianhang Zheng, Baochun Li:
Poisoning Attacks on Deep Learning based Wireless Traffic Prediction. INFOCOM 2022: 660-669 - [c265]Sijia Chen, Baochun Li:
Towards Optimal Multi-Modal Federated Learning on Non-IID Data with Hierarchical Gradient Blending. INFOCOM 2022: 1469-1478 - [c264]Salma Emara, Fei Wang, Isidor Kaplan, Baochun Li:
Ivory: Learning Network Adaptive Streaming Codes. IWQoS 2022: 1-10 - [c263]Ningxin Su, Baochun Li:
How Asynchronous can Federated Learning Be? IWQoS 2022: 1-11 - [c262]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) - [c261]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 - [c260]Wanyu Lin, Hao Lan, Baochun Li:
Generative Causal Explanations for Graph Neural Networks. ICML 2021: 6666-6679 - [c259]Hao Lan, Li Chen, Baochun Li:
Accelerated Device Placement Optimization with Contrastive Learning. ICPP 2021: 72:1-72:10 - [c258]Wanyu Lin, Baochun Li:
Medley: Predicting Social Trust in Time-Varying Online Social Networks. INFOCOM 2021: 1-10 - [c257]Tianhang Zheng, Baochun Li:
First-Order Efficient General-Purpose Clean-Label Data Poisoning. INFOCOM 2021: 1-10 - [c256]Hao Lan, Li Chen, Baochun Li:
EAGLE: Expedited Device Placement with Automatic Grouping for Large Models. IPDPS 2021: 599-608 - [c255]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 - [c254]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) - [c253]Wanyu Lin, Shengxiang Ji, Baochun Li:
Adversarial Attacks on Link Prediction Algorithms Based on Graph Neural Networks. AsiaCCS 2020: 370-380 - [c252]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 - [c251]Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data. CVPR 2020: 4173-4181 - [c250]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 - [c249]Liyao Xiang, Lingdong Wang, Shufan Wang, Baochun Li:
Achieving Consensus in Privacy-Preserving Decentralized Learning. ICDCS 2020: 899-909 - [c248]Yuechen Tao, Bo Li, Jingjie Jiang, Hok Chu Ng, Cong Wang, Baochun Li:
On Sharding Open Blockchains with Smart Contracts. ICDE 2020: 1357-1368 - [c247]Salma Emara, Baochun Li, Yanjiao Chen:
Eagle: Refining Congestion Control by Learning from the Experts. INFOCOM 2020: 676-685 - [c246]Wanyu Lin, Zhaolin Gao, Baochun Li:
Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks. INFOCOM 2020: 914-923 - [c245]Hao Wang, Zakhary Kaplan, Di Niu, Baochun Li:
Optimizing Federated Learning on Non-IID Data with Reinforcement Learning. INFOCOM 2020: 1698-1707 - [c244]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 - [c243]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]Jingjie Jiang, Shiyao Ma, Bo Li, Baochun Li:
Adia: Achieving High Link Utilization with Coflow-Aware Scheduling in Data Center Networks. IEEE Trans. Cloud Comput. 7(2): 431-441 (2019) - [j94]Jun Li, Baochun Li, Bo Li:
Mist: Efficient Dissemination of Erasure-Coded Data in Data Centers. IEEE Trans. Emerg. Top. Comput. 7(3): 468-480 (2019) - [j93]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Streaming Codes for Channels With Burst and Arbitrary Erasures. IEEE Trans. Inf. Theory 65(7): 4274-4292 (2019) - [j92]Li Chen, Shuhao Liu, Baochun Li, Bo Li:
Scheduling Jobs across Geo-Distributed Datacenters with Max-Min Fairness. IEEE Trans. Netw. Sci. Eng. 6(3): 488-500 (2019) - [j91]Yanjiao Chen, Xu Wang, Baochun Li, Qian Zhang:
An Incentive Mechanism for Crowdsourcing Systems with Network Effects. ACM Trans. Internet Techn. 19(4): 49:1-49:21 (2019) - [j90]Yu Guo, Xingliang Yuan, Xinyu Wang, Cong Wang, Baochun Li, Xiaohua Jia:
Enabling Encrypted Rich Queries in Distributed Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 30(6): 1283-1297 (2019) - [j89]Wenxin Li, Di Niu, Yinan Liu, Shuhao Liu, Baochun Li:
Wide-Area Spark Streaming: Automated Routing and Batch Sizing. IEEE Trans. Parallel Distributed Syst. 30(6): 1434-1448 (2019) - [j88]Li Chen, Yuan Feng, Baochun Li, Bo Li:
Promenade: Proportionally Fair Multipath Rate Control in Datacenter Networks with Random Network Coding. IEEE Trans. Parallel Distributed Syst. 30(11): 2536-2546 (2019) - [c242]Zhenjie Yang, Yong Cui, Baochun Li, Yadong Liu, Yi Xu:
Software-Defined Wide Area Network (SD-WAN): Architecture, Advances and Opportunities. ICCCN 2019: 1-9 - [c241]Zhiming Hu, James Tu, Baochun Li:
Spear: Optimized Dependency-Aware Task Scheduling with Deep Reinforcement Learning. ICDCS 2019: 2037-2046 - [c240]Liyao Xiang, Jingbo Yang, Baochun Li:
Differentially-Private Deep Learning from an optimization Perspective. INFOCOM 2019: 559-567 - [c239]Hao Wang, Di Niu, Baochun Li:
Distributed Machine Learning with a Serverless Architecture. INFOCOM 2019: 1288-1296 - [c238]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. ISIT 2019: 3077-3081 - [c237]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. ISIT 2019: 3082-3086 - [c236]Yifan Gong, Baochun Li, Ben Liang, Zheng Zhan:
Chic: experience-driven scheduling in machine learning clusters. IWQoS 2019: 30:1-30:10 - [c235]Silas L. Fong, Salma Emara, Baochun Li, Ashish Khisti, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Low-Latency Network-Adaptive Error Control for Interactive Streaming. ACM Multimedia 2019: 438-446 - [c234]Chen Ying, Baochun Li, Xiaodi Ke, Lei Guo:
Scheduling Virtual Machine Migration During Datacenter Upgrades with Reinforcement Learning. QSHINE 2019: 102-117 - [i12]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. CoRR abs/1901.03769 (2019) - [i11]Silas L. Fong, Salma Emara, Baochun Li, Ashish Khisti, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Low-Latency Network-Adaptive Error Control for Interactive Streaming. CoRR abs/1909.06709 (2019) - [i10]Wanyu Lin, Zhaolin Gao, Baochun Li:
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data. CoRR abs/1910.12976 (2019) - 2018
- [j87]Yanjiao Chen, Yuxuan Xiong, Qian Wang, Xiaoyan Yin, Baochun Li:
Ensuring Minimum Spectrum Requirement in Matching-Based Spectrum Allocation. IEEE Trans. Mob. Comput. 17(9): 2028-2040 (2018) - [j86]Zhiming Hu, Baochun Li, Jun Luo:
Time- and Cost- Efficient Task Scheduling across Geo-Distributed Data Centers. IEEE Trans. Parallel Distributed Syst. 29(3): 705-718 (2018) - [j85]Li Chen, Yuan Feng, Baochun Li, Bo Li:
Efficient Performance-Centric Bandwidth Allocation with Fairness Tradeoff. IEEE Trans. Parallel Distributed Syst. 29(8): 1693-1706 (2018) - [c233]Hao Wang, Di Niu, Baochun Li:
Dynamic and Decentralized Global Analytics via Machine Learning. SoCC 2018: 14-25 - [c232]Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. SoCC 2018: 521 - [c231]Siqi Ji, Ming Da Li, Niannian Ji, Baochun Li:
An Online Virtual Machine Placement Algorithm in an Over-Committed Cloud. IC2E 2018: 106-112 - [c230]Siqi Ji, Shuhao Liu, Baochun Li:
Deadline-Aware Scheduling and Routing for Inter-Datacenter Multicast Transfers. IC2E 2018: 124-133 - [c229]Jun Li, Baochun Li:
Parallelism-Aware Locally Repairable Code for Distributed Storage Systems. ICDCS 2018: 87-98 - [c228]Zhiming Hu, Baochun Li, Chen Chen, Xiaodi Ke:
FlowTime: Dynamic Scheduling of Deadline-Aware Workflows and Ad-Hoc Jobs. ICDCS 2018: 929-938 - [c227]Yuanxiang Gao, Li Chen, Baochun Li:
Spotlight: Optimizing Device Placement for Training Deep Neural Networks. ICML 2018: 1662-1670 - [c226]Shuhao Liu, Li Chen, Baochun Li, Aiden Carnegie:
A Hierarchical Synchronous Parallel Model for Wide-Area Graph Analytics. INFOCOM 2018: 531-539 - [c225]Yanjiao Chen, Long Lin, Guiyan Cao, Zhenzhong Chen, Baochun Li:
Stable Combinatorial Spectrum Matching. INFOCOM 2018: 1664-1672 - [c224]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Streaming Codes for Channels with Burst and Arbitrary Erasures. ISIT 2018: 1370-1374 - [c223]Yuanxiang Gao, Li Chen, Baochun Li:
Post: Device Placement with Cross-Entropy Minimization and Proximal Policy Optimization. NeurIPS 2018: 9993-10002 - [c222]Shuhao Liu, Li Chen, Baochun Li:
Siphon: Expediting Inter-Datacenter Coflows in Wide-Area Data Analytics. USENIX Annual Technical Conference 2018: 507-518 - [i9]Silas L. Fong, Ashish Khisti, Baochun Li, Wai-Tian Tan, Xiaoqing Zhu, John G. Apostolopoulos:
Optimal Streaming Codes for Channels with Burst and Arbitrary Erasures. CoRR abs/1801.04241 (2018) - [i8]Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li:
Fast Distributed Deep Learning via Worker-adaptive Batch Sizing. CoRR abs/1806.02508 (2018) - 2017
- [j84]Liyao Xiang, Tzu-Yin Tai, Baochun Li, Bo Li:
$Tack: $ Learning Towards Contextual and Ephemeral Indoor Localization With Crowdsourcing. IEEE J. Sel. Areas Commun. 35(4): 863-879 (2017) - [j83]