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Tian Lan 0001
Person information
- affiliation: George Washington University, Department of Electrical and Computer Engineering, Washington, DC, USA
- affiliation (PhD 2010): Princeton University, Department of Electrical Engineering, Princeton, NJ, USA
Other persons with the same name
- Tian Lan — disambiguation page
- Tian Lan 0002
— Beijing Institute of Technology, School of Information and Electronics, Key Laboratory of Electronic and Information Technology in Satellite Navigation, Beijing, China (and 2 more)
- Tian Lan 0003
— Beijing Institute of Technology, Department of Computer Science and Technology, Beijing, China
- Tian Lan 0004
— Southwest Jiaotong University, Faculty of Geosciences and Environmental Engineering, Chengdu, China (and 1 more)
- Tian Lan 0005
— University of Electronic Science and Technology of China, School of Information and Software Engineering, Network and Data Security Key Laboratory of Sichuan Province, Chengdu, China (and 1 more)
- Tian Lan 0006 — Salesforce Research, Palo Alto, CA, USA (and 3 more)
- Tian Lan 0007 — Oregon Health & Science University, Department of Biomedical Engineering, Portland, OR, USA
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2020 – today
- 2025
- [j45]Congwei Zhang
, Yifei Zou
, Zuyuan Zhang
, Dongxiao Yu
, Jorge Torres Gómez
, Tian Lan
, Falko Dressler
, Xiuzhen Cheng
:
Distributed Age-of-Information Scheduling With NOMA via Deep Reinforcement Learning. IEEE Trans. Mob. Comput. 24(1): 30-44 (2025) - 2024
- [j44]Yurong Chen
, Yongsheng Mei
, Tian Lan, Guru Venkataramani:
Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. DTRAP 5(1): 11:1-11:22 (2024) - [j43]Lei Zhang
, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian
, Gina C. Adam
:
Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. IEEE Trans. Circuits Syst. I Regul. Pap. 71(8): 3526-3537 (2024) - [j42]Yuzhu Mao
, Zihao Zhao
, Meilin Yang
, Le Liang
, Yang Liu
, Wenbo Ding
, Tian Lan
, Xiao-Ping Zhang
:
SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. IEEE Trans. Mob. Comput. 23(5): 4819-4831 (2024) - [j41]Zihao Zhao
, Yuzhu Mao
, Zhenpeng Shi
, Yang Liu
, Tian Lan
, Wenbo Ding
, Xiao-Ping Zhang
:
AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy. IEEE Trans. Mob. Comput. 23(6): 7363-7376 (2024) - [j40]Jiayu Chen
, Tian Lan
, Vaneet Aggarwal
:
Hierarchical Adversarial Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17549-17558 (2024) - [j39]Chenyi Liu
, Vaneet Aggarwal
, Tian Lan
, Nan Geng, Yuan Yang
, Mingwei Xu
, Qing Li
:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. 32(2): 1003-1018 (2024) - [j38]Jing Qiao
, Shikun Shen
, Shuzhen Chen
, Xiao Zhang
, Tian Lan
, Xiuzhen Cheng
, Dongxiao Yu
:
De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation. IEEE/ACM Trans. Netw. 32(6): 4931-4943 (2024) - [c89]Jingdi Chen, Tian Lan, Carlee Joe-Wong:
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI 2024: 17327-17336 - [c88]Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan:
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. AAAI 2024: 17461-17468 - [c87]Yongsheng Mei, Hanhan Zhou, Tian Lan:
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS 2024: 2381-2383 - [c86]Yuxin Lin, Seyede Fatemeh Ghoreishi, Tian Lan, Mahdi Imani:
High-Level Human Intention Learning for Cooperative Decision-Making. CCTA 2024: 209-216 - [c85]Yongsheng Mei, Mahdi Imani, Tian Lan:
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR 2024 - [c84]Kailash Gogineni, Yongsheng Mei, Karthikeya Gogineni, Peng Wei, Tian Lan, Guru Venkataramani:
Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems. IISWC 2024: 224-235 - [c83]Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani:
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. ISPASS 2024: 217-229 - [c82]Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam:
Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware. MILCOM 2024: 39-44 - [c81]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. NeurIPS 2024 - [c80]Jiangong Chen, Tian Lan, Bin Li:
GPT-VR Nexus: ChatGPT-Powered Immersive Virtual Reality Experience. VR Workshops 2024: 1-2 - [i56]Yongsheng Mei, Mahdi Imani, Tian Lan:
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR abs/2401.14544 (2024) - [i55]Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal:
Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR abs/2402.13777 (2024) - [i54]Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan:
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR abs/2403.15341 (2024) - [i53]Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani:
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. CoRR abs/2405.03967 (2024) - [i52]Zuyuan Zhang, Mahdi Imani, Tian Lan:
Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR abs/2405.14122 (2024) - [i51]Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal:
Variational Offline Multi-agent Skill Discovery. CoRR abs/2405.16386 (2024) - [i50]Zeyu Fang, Tian Lan:
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models. CoRR abs/2405.19878 (2024) - [i49]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR abs/2410.16517 (2024) - [i48]Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan:
Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? CoRR abs/2411.06618 (2024) - 2023
- [j37]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu:
Machine Learning for Robust Network Design: A New Perspective. IEEE Commun. Mag. 61(10): 86-92 (2023) - [j36]Sultan Alamro, Tian Lan, Suresh Subramaniam:
Forseti: Dynamic chunk-level reshaping for data processing on heterogeneous clusters. J. Parallel Distributed Comput. 171: 14-23 (2023) - [j35]Jiayu Chen
, Jingdi Chen
, Tian Lan
, Vaneet Aggarwal
:
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4(5): 1141-1153 (2023) - [j34]Hanhan Zhou
, Tian Lan
, Vaneet Aggarwal
:
Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. 7(5): 1351-1361 (2023) - [j33]Han Zhang
, Xia Yin, Xingang Shi
, Jilong Wang
, Zhiliang Wang
, Yingya Guo
, Tian Lan
, Yahui Li, Yongqing Zhu, Ke Ruan, Haijun Geng
:
Achieving High Availability in Inter-DC WAN Traffic Engineering. IEEE/ACM Trans. Netw. 31(6): 2406-2421 (2023) - [j32]Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan
, Vaneet Aggarwal
, Yuan Yang
, Mingwei Xu
:
A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. 72(5): 6753-6764 (2023) - [c79]Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani:
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. ASAP 2023: 205-212 - [c78]Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei:
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. AAMAS 2023: 466-475 - [c77]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC 2023: 1-8 - [c76]Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam:
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI 2023: 1704-1711 - [c75]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML 2023: 4895-4920 - [c74]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA 2023: 5902-5908 - [c73]Yangyang Wang
, Xiao Zhang
, Mingyi Li
, Tian Lan, Huashan Chen
, Hui Xiong
, Xiuzhen Cheng
, Dongxiao Yu
:
Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. KDD 2023: 2444-2455 - [c72]Yongsheng Mei
, Guru Venkataramani
, Tian Lan
:
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD 2023: 64-85 - [c71]Jingdi Chen
, Tian Lan
, Nakjung Choi
:
Distributional-Utility Actor-Critic for Network Slice Performance Guarantee. MobiHoc 2023: 161-170 - [c70]Jing Qiao
, Shikun Shen
, Shuzhen Chen
, Xiao Zhang
, Tian Lan
, Xiuzhen Cheng
, Dongxiao Yu
:
Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation. MobiHoc 2023: 201-210 - [c69]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS 2023 - [c68]Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding:
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. NeurIPS 2023 - [i47]Yongsheng Mei
, Tian Lan, Guru Venkataramani:
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation. CoRR abs/2302.02521 (2023) - [i46]Kailash Gogineni, Peng Wei, Tian Lan, Guru Venkataramani:
Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems. CoRR abs/2302.05007 (2023) - [i45]Yongsheng Mei
, Hanhan Zhou
, Tian Lan:
ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. CoRR abs/2302.05593 (2023) - [i44]Yongsheng Mei
, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei:
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. CoRR abs/2302.10418 (2023) - [i43]Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal:
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2305.12633 (2023) - [i42]Kailash Gogineni, Peng Wei, Tian Lan, Guru Venkataramani:
Towards Efficient Multi-Agent Learning Systems. CoRR abs/2305.13411 (2023) - [i41]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Deep Counterfactual Regret Minimization. CoRR abs/2305.17327 (2023) - [i40]Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li:
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. CoRR abs/2305.19153 (2023) - [i39]Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani:
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. CoRR abs/2306.00187 (2023) - [i38]Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Vaneet Aggarwal, Tian Lan, Zheqing Zhu, Chi Zhou, Tim Gasser, Pol Mauri Ruiz, Vijay Menon, Neeraj Kumar, Hongbo Dong:
Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR abs/2306.17054 (2023) - [i37]Jiayu Chen, Jingdi Chen
, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR abs/2307.11629 (2023) - [i36]Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang:
AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. CoRR abs/2308.00258 (2023) - [i35]Jingdi Chen
, Tian Lan:
Minimizing Return Gaps with Discrete Communications in Decentralized POMDP. CoRR abs/2308.03358 (2023) - [i34]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR abs/2308.14897 (2023) - [i33]Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding:
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. CoRR abs/2310.08670 (2023) - [i32]Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR abs/2311.16018 (2023) - [i31]Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song:
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. CoRR abs/2312.07060 (2023) - [i30]Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan:
Real-time Network Intrusion Detection via Decision Transformers. CoRR abs/2312.07696 (2023) - [i29]Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan:
ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. CoRR abs/2312.15555 (2023) - 2022
- [j31]Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal:
Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms 15(7): 227 (2022) - [j30]Guangfeng Yan
, Tan Li
, Shao-Lun Huang
, Tian Lan
, Linqi Song
:
AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. 40(9): 2678-2693 (2022) - [j29]Yuzhu Mao, Zihao Zhao, Guangfeng Yan
, Yang Liu, Tian Lan, Linqi Song
, Wenbo Ding
:
Communication-Efficient Federated Learning with Adaptive Quantization. ACM Trans. Intell. Syst. Technol. 13(4): 67:1-67:26 (2022) - [j28]Shijing Li
, Tian Lan
, Bharath Balasubramanian
, Hee Won Lee, Moo-Ryong Ra
, Rajesh Krishna Panta:
Pushing Collaborative Data Deduplication to the Network Edge: An Optimization Framework and System Design. IEEE Trans. Netw. Sci. Eng. 9(4): 2110-2122 (2022) - [j27]Shijing Li
, Tian Lan
:
From Network Inference Errors to Utility Suboptimality: How Much Is the Impact? IEEE Trans. Netw. Sci. Eng. 9(6): 4075-4086 (2022) - [c67]Mridul Agarwal, Vaneet Aggarwal, Tian Lan:
Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS 2022: 9-17 - [c66]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS 2022: 1572-1574 - [c65]Jian Xu
, Shao-Lun Huang, Linqi Song
, Tian Lan:
Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS 2022: 1223-1235 - [c64]Kailash Gogineni, Yongsheng Mei
, Guru Venkataramani, Tian Lan:
Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. MILCOM 2022: 450-457 - [c63]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS 2022 - [c62]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS 2022 - [i28]Hanhan Zhou, Tian Lan, Vaneet Aggarwal:
Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR abs/2201.01247 (2022) - [i27]Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal:
Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR abs/2201.08227 (2022) - [i26]Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding:
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning. CoRR abs/2201.11803 (2022) - [i25]Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan:
A Framework for Server Authentication using Communication Protocol Dialects. CoRR abs/2202.00500 (2022) - [i24]Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang:
SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications. CoRR abs/2204.02321 (2022) - [i23]Hanhan Zhou
, Tian Lan, Vaneet Aggarwal:
PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR abs/2206.11420 (2022) - [i22]Jiayu Chen, Tian Lan, Vaneet Aggarwal:
Hierarchical Adversarial Inverse Reinforcement Learning. CoRR abs/2210.01969 (2022) - [i21]Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal:
Multi-agent Deep Covering Option Discovery. CoRR abs/2210.03269 (2022) - [i20]Yongsheng Mei
, Tian Lan, Mahdi Imani, Suresh Subramaniam:
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR abs/2210.06635 (2022) - [i19]Jiayu Chen, Vaneet Aggarwal, Tian Lan:
ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR abs/2212.00211 (2022) - 2021
- [j26]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory 18(3): 380-525 (2021) - [j25]Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy
:
Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. 157: 280-286 (2021) - [j24]Abubakr O. Al-Abbasi
, Vaneet Aggarwal
, Tian Lan
, Yu Xiang
, Moo-Ryong Ra
, Yih-Farn Chen
:
FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. 9(4): 1453-1466 (2021) - [j23]Yu Xiang
, Hang Liu, Tian Lan
, H. Howie Huang
, Suresh Subramaniam
:
Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. IEEE Trans. Netw. Serv. Manag. 18(2): 2077-2088 (2021) - [j22]Vaneet Aggarwal
, Tian Lan
, Suresh Subramaniam
, Maotong Xu
:
On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. 18(3): 3706-3718 (2021) - [c61]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS 2021: 510-518 - [c60]Han Zhang, Xingang Shi, Xia Yin, Jilong Wang, Zhiliang Wang, Yingya Guo, Tian Lan:
Boosting bandwidth availability over inter-DC WAN. CoNEXT 2021: 297-312 - [c59]Jingdi Chen
, Yimeng Wang, Tian Lan:
Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization. INFOCOM 2021: 1-10 - [c58]Jian Xu
, Shao-Lun Huang, Linqi Song
, Tian Lan:
Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM 2021: 1-10 - [c57]Guangfeng Yan
, Shao-Lun Huang, Tian Lan, Linqi Song
:
DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS 2021: 136-144 - [c56]Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu:
CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) 2021: 157-173 - [c55]Yongsheng Mei
, Kailash Gogineni, Tian Lan, Guru Venkataramani:
MPD: Moving Target Defense Through Communication Protocol Dialects. SecureComm (1) 2021: 100-119 - [c54]Peng Zou, Xianglin Wei, Omur Ozel, Tian Lan, Suresh Subramaniam:
Timely Probabilistic Data Preprocessing in Mobile Edge Computing. WCNC 2021: 1-6 - [i18]Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal:
DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR abs/2103.03450 (2021) - [i17]Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding:
Communication Efficient Federated Learning with Adaptive Quantization. CoRR abs/2104.06023 (2021) - [i16]Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan:
Integrated Reasoning Engine for Pointer-related Code Clone Detection. CoRR abs/2105.11933 (2021) - [i15]Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan:
SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR abs/2109.05872 (2021) - [i14]Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani:
MPD: Moving Target Defense through Communication Protocol Dialects. CoRR abs/2110.03798 (2021) - [i13]Hanhan Zhou, Tian Lan, Guru Venkataramani:
PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer. CoRR abs/2111.12167 (2021) - 2020
- [j21]Yurong Chen
, Hongfa Xue, Tian Lan, Guru Venkataramani:
CHOP: Bypassing runtime bounds checking through convex hull Optimization. Comput. Secur. 90: 101708 (2020) - [j20]Sultan Alamro
, Maotong Xu
, Tian Lan
, Suresh Subramaniam
:
Shed+: Optimal Dynamic Speculation to Meet Application Deadlines in Cloud. IEEE Trans. Netw. Serv. Manag. 17(3): 1515-1526 (2020) - [c53]Hanhan Zhou, Tian Lan, Guru Venkataramani:
Hunting Garbage Collection Related Concurrency Bugs through Critical Condition Restoration. FEAST@CCS 2020: 17-22 - [c52]Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu:
A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP 2020: 1-11 - [c51]Shijing Li, Tian Lan:
HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication. INFOCOM 2020: 247-256 - [c50]Hongfa Xue, Yongsheng Mei
, Kailash Gogineni, Guru Venkataramani, Tian Lan:
Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. IWSC 2020: 1-7 - [i12]Vaneet Aggarwal, Tian Lan:
Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR abs/2005.10855 (2020)
2010 – 2019
- 2019
- [j19]Hongfa Xue
, Shaowen Sun, Guru Venkataramani, Tian Lan:
Machine Learning-Based Analysis of Program Binaries: A Comprehensive Study. IEEE Access 7: 65889-65912 (2019) - [j18]Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan:
AMASS: Automated Software Mass Customization via Feature Identification and Tailoring. EAI Endorsed Trans. Security Safety 6(20): e4 (2019) - [j17]