Joint Beamforming and Power Control for Optimal SIR Assignment in Cellular Uplinks. - Tian Lan 001; Prashanth Hande; Mung Chiang (ISIT, 2007)

Power Control in Wireless Cellular Networks. - Mung Chiang; Prashanth Hande; Tian Lan 001; Chee-Wei Tan 001 (Found. Trends Netw., 2007)

How Bad is Suboptimal Rate Allocation? - Tian Lan 001; Xiaojun Lin 001; Mung Chiang; Ruby B. Lee (INFOCOM, 2008)

Multi-Path Key Establishment against REM Attacks in Wireless Ad Hoc Networks. - Tian Lan 001; Ruby B. Lee; Mung Chiang (GLOBECOM, 2009)

An Axiomatic Theory of Fairness - Tian Lan 001; David T. H. Kao; Mung Chiang; Ashutosh Sabharwal (CoRR, 2009)

Resource Allocation and Performance Study for LTE Networks Integrated with Femtocells. - Tian Lan 001; Kaustubh Sinkar; Latha A. Kant; Kenneth J. Kerpez (GLOBECOM, 2010)

An Axiomatic Theory of Fairness in Network Resource Allocation. - Tian Lan 001; David T. H. Kao; Mung Chiang; Ashutosh Sabharwal (INFOCOM, 2010)

Resource Allocation over Network Dynamics without Timescale Separation. - Alexandre Proutière; Yung Yi; Tian Lan 001; Mung Chiang (INFOCOM, 2010)

Measuring fairness: Axioms and applications. - Tian Lan 001; Mung Chiang (Allerton, 2011)

Stability and benefits of suboptimal utility maximization. - Tian Lan 001; Xiaojun Lin 001; Mung Chiang; Ruby B. Lee (IEEE/ACM Trans. Netw., 2011)

Key Management in Sensor Networks. - Dahai Xu; Jeffrey S. Dwoskin; Jianwei Huang 001; Tian Lan 001; Ruby B. Lee; Mung Chiang (Theoretical Aspects of Distributed Computing in Sensor Networks, 2011)

Datacenter net profit optimization with deadline dependent pricing. - Wei Wang; Peng Zhang; Tian Lan 001; Vaneet Aggarwal (CISS, 2012)

Providing reliability as an elastic service in cloud computing. - Nakharin Limrungsi; Juzi Zhao; Yu Xiang 003; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (ICC, 2012)

System energy consumption is a multi-player game. - Mian Dong; Tian Lan 001; Lin Zhong 001 (ICCAD, 2012)

Joint VM placement and routing for data center traffic engineering. - Joe Wenjie Jiang; Tian Lan 001; Sangtae Ha; Minghua Chen 001; Mung Chiang (INFOCOM, 2012)

Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. - Carlee Joe-Wong; Soumya Sen; Tian Lan 001; Mung Chiang (INFOCOM, 2012)

Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD). - Stuart Wagner; Eric van den Berg; Jim Giacopelli; Andrei Ghetie; Jim Burns; Miriam Tauil; Soumya Sen; Michael Wang 002; Mung Chiang; Tian Lan 001; Robert Laddaga; Paul Robertson 001; et al. (SASO Workshops, 2012)

Self-Adaptive, Deadline-Aware Resource Control in Cloud Computing. - Yu Xiang 003; Bharath Balasubramanian; Michael Wang 002; Tian Lan 001; Soumya Sen; Mung Chiang (SASO Workshops, 2013)

How does energy accounting matter for energy management? - Mian Dong; Tian Lan 001; Lin Zhong 001 (SIGMETRICS, 2013)

Multiresource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework. - Carlee Joe-Wong; Soumya Sen; Tian Lan 001; Mung Chiang (IEEE/ACM Trans. Netw., 2013)

SAP: Similarity-aware partitioning for efficient cloud storage. - Bharath Balasubramanian; Tian Lan 001; Mung Chiang (INFOCOM, 2014)

Rethink energy accounting with cooperative game theory. - Mian Dong; Tian Lan 001; Lin Zhong 001 (MobiCom, 2014)

Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing. - Yu Xiang 003; Hang Liu 001; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (DCC@SIGCOMM, 2014)

Joint latency and cost optimization for erasurecoded data center storage. - Yu Xiang 003; Tian Lan 001; Vaneet Aggarwal; Yih-Farn Robin Chen (SIGMETRICS Perform. Evaluation Rev., 2014)

Taming Latency in Data Center Networking with Erasure Coded Files. - Yu Xiang 003; Vaneet Aggarwal; Yih-Farn Robin Chen; Tian Lan 001 (CCGRID, 2015)

Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. - Yu Xiang 003; Tian Lan 001; Vaneet Aggarwal; Yih-Farn Robin Chen (ICDCS, 2015)

Need for speed: CORA scheduler for optimizing completion-times in the cloud. - Zhe Huang 001; Bharath Balasubramanian; Michael Wang 002; Tian Lan 001; Mung Chiang; Danny H. K. Tsang (INFOCOM, 2015)

POSTER: Semantics-Aware Rule Recommendation and Enforcement for Event Paths. - Yongbo Li; Fan Yao; Tian Lan 001; Guru Venkataramani (SecureComm, 2015)

Design and Optimization of Hierarchical Routing Protocol for 6LoWPAN. - Ming Liu 003; Yang Xu 003; Shuai Wu; Tian Lan 001 (Int. J. Distributed Sens. Networks, 2015)

CRED: Cloud Right-Sizing to Meet Execution Deadlines and Data Locality. - Sultan Alamro; Maotong Xu; Tian Lan 001; Suresh Subramaniam 001 (CLOUD, 2016)

Background traffic optimization for meeting deadlines in data center storage. - Shijing Li; Tian Lan 001; Moo-Ryong Ra; Rajesh Krishna Panta (CISS, 2016)

RUSH: A RobUst ScHeduler to Manage Uncertain Completion-Times in Shared Clouds. - Zhe Huang 001; Bharath Balasubramanian; Michael Wang 002; Tian Lan 001; Mung Chiang; Danny H. K. Tsang (ICDCS, 2016)

Tail Index for a Distributed Storage System with Pareto File Size Distribution. - Vaneet Aggarwal; Tian Lan 001 (CoRR, 2016)

SARRE: Semantics-Aware Rule Recommendation and Enforcement for Event Paths on Android. - Yongbo Li; Fan Yao; Tian Lan 001; Guru Venkataramani (IEEE Trans. Inf. Forensics Secur., 2016)

Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage. - Yu Xiang 003; Tian Lan 001; Vaneet Aggarwal; Yih-Farn Robin Chen (IEEE/ACM Trans. Netw., 2016)

DamGate: Dynamic Adaptive Multi-feature Gating in Program Binaries. - Yurong Chen 005; Tian Lan 001; Guru Venkataramani (FEAST@CCS, 2017)

StatSym: Vulnerable Path Discovery through Statistics-Guided Symbolic Execution. - Fan Yao; Yongbo Li; Yurong Chen 005; Hongfa Xue; Tian Lan 001; Guru Venkataramani (DSN, 2017)

Deadline-Aware Task Scheduling in a Tiered IoT Infrastructure. - Jianhua Fan; Xianglin Wei; Tongxiang Wang; Tian Lan 001; Suresh Subramaniam 001 (GLOBECOM, 2017)

LASER: A Deep Learning Approach for Speculative Execution and Replication of Deadline-Critical Jobs in Cloud. - Maotong Xu; Sultan Alamro; Tian Lan 001; Suresh Subramaniam 001 (ICCCN, 2017)

MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization. - Yongbo Li; Yurong Chen 005; Tian Lan 001; Guru Venkataramani (ICDCS, 2017)

S3: Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage. - Shijing Li; Tian Lan 001; Moo-Ryong Ra; Rajesh Krishna Panta (ICDCS, 2017)

Taming tail latency for erasure-coded, distributee storage systems. - Vaneet Aggarwal; Jingxian Fan; Tian Lan 001 (INFOCOM, 2017)

Capitalizing on the Promise of Ad Prefetching in Real-World Mobile Systems. - Yimeng Wang; Yongbo Li; Tian Lan 001 (MASS, 2017)

SIMBER: Eliminating Redundant Memory Bound Checks via Statistical Inference. - Hongfa Xue; Yurong Chen 005; Fan Yao; Yongbo Li; Tian Lan 001; Guru Venkataramani (SEC, 2017)

Optimizing Speculative Execution of Deadline-Sensitive Jobs in Cloud. - Maotong Xu; Sultan Alamro; Tian Lan 001; Suresh Subramaniam 001 (SIGMETRICS (Abstracts), 2017)

Taming Tail Latency for Erasure-coded, Distributed Storage Systems. - Vaneet Aggarwal; Abubakr O. Al-Abbasi; Jingxian Fan; Tian Lan 001 (CoRR, 2017)

On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. - Vaneet Aggarwal; Maotong Xu; Tian Lan 001; Suresh Subramaniam 001 (CoRR, 2017)

Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage. - Yu Xiang 003; Tian Lan 001; Vaneet Aggarwal; Yih-Farn Chen (IEEE Trans. Netw. Serv. Manag., 2017)

Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. - Vaneet Aggarwal; Yih-Farn Robin Chen; Tian Lan 001; Yu Xiang 003 (IEEE/ACM Trans. Netw., 2017)

CRED: Cloud Right-Sizing with Execution Deadlines and Data Locality. - Maotong Xu; Sultan Alamro; Tian Lan 001; Suresh Subramaniam 001 (IEEE Trans. Parallel Distributed Syst., 2017)

Elastic Reliability Optimization Through Peer-to-Peer Checkpointing in Cloud Computing. - Juzi Zhao; Yu Xiang 003; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (IEEE Trans. Parallel Distributed Syst., 2017)

MORPH: Enhancing System Security through Interactive Customization of Application and Communication Protocol Features. - Hongfa Xue; Yurong Chen 005; Guru Venkataramani; Tian Lan 001; Guang Jin; Jason H. Li (CCS, 2018)

TOSS: Tailoring Online Server Systems through Binary Feature Customization. - Yurong Chen 005; Shaowen Sun; Tian Lan 001; Guru Venkataramani (FEAST@CCS, 2018)

Clone-Slicer: Detecting Domain Specific Binary Code Clones through Program Slicing. - Hongfa Xue; Guru Venkataramani; Tian Lan 001 (FEAST@CCS, 2018)

Multichoice Games for Optimizing Task Assignment in Edge Computing. - Yongbo Li; Tian Lan 001 (GLOBECOM, 2018)

Shed: Optimal Dynamic Cloning to Meet Application Deadlines in Cloud. - Sultan Alamro; Maotong Xu; Tian Lan 001; Suresh Subramaniam 001 (ICC, 2018)

Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-Critical MapReduce Jobs. - Maotong Xu; Sultan Alamro; Tian Lan 001; Suresh Subramaniam 001 (ICDCS, 2018)

Clone-hunter: accelerated bound checks elimination via binary code clone detection. - Hongfa Xue; Guru Venkataramani; Tian Lan 001 (MAPL@PLDI, 2018)

Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage. - Shijing Li; Tian Lan 001; Moo-Ryong Ra; Rajesh Krishna Panta (IEEE Trans. Parallel Distributed Syst., 2018)

Deep Q-Learning for Chunk-based Caching in Data Processing Networks. - Yimeng Wang; Yongbo Li; Tian Lan 001; Vaneet Aggarwal (Allerton, 2019)

Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. - Yurong Chen 005; Tian Lan 001; Guru Venkataramani (FEAST@CCS, 2019)

EF-Dedup: Enabling Collaborative Data Deduplication at the Network Edge. - Shijing Li; Tian Lan 001; Bharath Balasubramanian; Moo-Ryong Ra; Hee Won Lee; Rajesh K. Panta (ICDCS, 2019)

A Reinforcement Learning Approach for Online Service Tree Placement in Edge Computing. - Yimeng Wang; Yongbo Li; Tian Lan 001; Nakjung Choi (ICNP, 2019)

CustomPro: Network Protocol Customization Through Cross-Host Feature Analysis. - Yurong Chen 005; Tian Lan 001; Guru Venkataramani (SecureComm (2), 2019)

Hecate: Automated Customization of Program and Communication Features to Reduce Attack Surfaces. - Hongfa Xue; Yurong Chen 005; Guru Venkataramani; Tian Lan 001 (SecureComm (2), 2019)

Machine Learning-Based Analysis of Program Binaries: A Comprehensive Study. - Hongfa Xue; Shaowen Sun; Guru Venkataramani; Tian Lan 001 (IEEE Access, 2019)

Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Hongfa Xue; Guru Venkataramani; Tian Lan 001 (CoRR, 2019)

AMASS: Automated Software Mass Customization via Feature Identification and Tailoring. - Hongfa Xue; Yurong Chen 005; Guru Venkataramani; Tian Lan 001 (EAI Endorsed Trans. Security Safety, 2019)

Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. - Yu Xiang 003; Vaneet Aggarwal; Yih-Farn Robin Chen; Tian Lan 001 (IEEE Trans. Cloud Comput., 2019)

DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. - Yimeng Wang; Yongbo Li; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Cogn. Commun. Netw., 2019)

Mobile Ad Prefetching and Energy Optimization via Tail Energy Accounting. - Yongbo Li; Yimeng Wang; Tian Lan 001 (IEEE Trans. Mob. Comput., 2019)

TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. - Abubakr O. Al-Abbasi; Vaneet Aggarwal; Tian Lan 001 (IEEE Trans. Netw. Serv. Manag., 2019)

Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. - Yang Zhang 096; Arnob Ghosh; Vaneet Aggarwal; Tian Lan 001 (IEEE Trans. Netw. Serv. Manag., 2019)

Hunting Garbage Collection Related Concurrency Bugs through Critical Condition Restoration. - Hanhan Zhou; Tian Lan 001; Guru Venkataramani (FEAST@CCS, 2020)

A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. - Nan Geng; Tian Lan 001; Vaneet Aggarwal; Yuan Yang 001; Mingwei Xu (ICNP, 2020)

HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication. - Shijing Li; Tian Lan 001 (INFOCOM, 2020)

Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (IWSC, 2020)

CHOP: Bypassing runtime bounds checking through convex hull Optimization. - Yurong Chen 005; Hongfa Xue; Tian Lan 001; Guru Venkataramani (Comput. Secur., 2020)

Shed+: Optimal Dynamic Speculation to Meet Application Deadlines in Cloud. - Sultan Alamro; Maotong Xu; Tian Lan 001; Suresh Subramaniam 001 (IEEE Trans. Netw. Serv. Manag., 2020)

DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. - Jiayu Chen; Abhishek K. Umrawal; Tian Lan 001; Vaneet Aggarwal (ICAPS, 2021)

Boosting bandwidth availability over inter-DC WAN. - Han Zhang 009; Xingang Shi; Xia Yin 001; Jilong Wang 001; Zhiliang Wang; Yingya Guo; Tian Lan 001 (CoNEXT, 2021)

Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization. - Jingdi Chen; Yimeng Wang; Tian Lan 001 (INFOCOM, 2021)

Live Gradient Compensation for Evading Stragglers in Distributed Learning. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (INFOCOM, 2021)

DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Shao-Lun Huang; Tian Lan 001; Linqi Song (MASS, 2021)

CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. - Chenyi Liu; Nan Geng; Vaneet Aggarwal; Tian Lan 001; Yuan Yang 001; Mingwei Xu (ECML/PKDD (1), 2021)

MPD: Moving Target Defense Through Communication Protocol Dialects. - Yongsheng Mei; Kailash Gogineni; Tian Lan 001; Guru Venkataramani (SecureComm (1), 2021)

Timely Probabilistic Data Preprocessing in Mobile Edge Computing. - Peng Zou; Xianglin Wei; Omur Ozel; Tian Lan 001; Suresh Subramaniam 001 (WCNC, 2021)

Integrated Reasoning Engine for Pointer-related Code Clone Detection. - Hongfa Xue; Yongsheng Mei; Kailash Gogineni; Guru Venkataramani; Tian Lan 001 (CoRR, 2021)

SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (CoRR, 2021)

PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer. - Hanhan Zhou; Tian Lan 001; Guru Venkataramani (CoRR, 2021)

Modeling and Optimization of Latency in Erasure-coded Storage Systems. - Vaneet Aggarwal; Tian Lan 001 (Found. Trends Commun. Inf. Theory, 2021)

Preemptive scheduling on unrelated machines with fractional precedence constraints. - Vaneet Aggarwal; Tian Lan 001; Dheeraj Peddireddy (J. Parallel Distributed Comput., 2021)

FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. - Abubakr O. Al-Abbasi; Vaneet Aggarwal; Tian Lan 001; Yu Xiang 003; Moo-Ryong Ra; Yih-Farn Chen (IEEE Trans. Cloud Comput., 2021)

On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. - Vaneet Aggarwal; Tian Lan 001; Suresh Subramaniam 001; Maotong Xu (IEEE Trans. Netw. Serv. Manag., 2021)

Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. - Yu Xiang 003; Hang Liu 001; Tian Lan 001; H. Howie Huang; Suresh Subramaniam 001 (IEEE Trans. Netw. Serv. Manag., 2021)

Multi-Objective Reinforcement Learning with Non-Linear Scalarization. - Mridul Agarwal; Vaneet Aggarwal; Tian Lan 001 (AAMAS, 2022)

Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. - Jiayu Chen; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (AAMAS, 2022)

Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. - Jian Xu 016; Shao-Lun Huang; Linqi Song; Tian Lan 001 (ICDCS, 2022)

Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (MILCOM, 2022)

Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. - Jiayu Chen; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (NeurIPS, 2022)

PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. - Hanhan Zhou; Tian Lan 001; Vaneet Aggarwal (NeurIPS, 2022)

Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. - Yimeng Wang; Mridul Agarwal; Tian Lan 001; Vaneet Aggarwal (Algorithms, 2022)

Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. - Jiayu Chen; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (CoRR, 2022)

On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning. - Hanhan Zhou; Tian Lan 001; Guru Venkataramani; Wenbo Ding 001 (CoRR, 2022)

A Framework for Server Authentication using Communication Protocol Dialects. - Kailash Gogineni; Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (CoRR, 2022)

PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. - Hanhan Zhou; Tian Lan 001; Vaneet Aggarwal (CoRR, 2022)

Multi-agent Deep Covering Option Discovery. - Jiayu Chen; Marina Haliem; Tian Lan 001; Vaneet Aggarwal (CoRR, 2022)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (CoRR, 2022)

ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. - Jiayu Chen; Vaneet Aggarwal; Tian Lan 001 (CoRR, 2022)

AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. - Guangfeng Yan; Tan Li 002; Shao-Lun Huang; Tian Lan 001; Linqi Song (IEEE J. Sel. Areas Commun., 2022)

Communication-Efficient Federated Learning with Adaptive Quantization. - Yuzhu Mao; Zihao Zhao 001; Guangfeng Yan; Yang Liu 165; Tian Lan 001; Linqi Song; Wenbo Ding 001 (ACM Trans. Intell. Syst. Technol., 2022)

From Network Inference Errors to Utility Suboptimality: How Much Is the Impact? - Shijing Li; Tian Lan 001 (IEEE Trans. Netw. Sci. Eng., 2022)

Pushing Collaborative Data Deduplication to the Network Edge: An Optimization Framework and System Design. - Shijing Li; Tian Lan 001; Bharath Balasubramanian; Hee Won Lee; Moo-Ryong Ra; Rajesh Krishna Panta (IEEE Trans. Netw. Sci. Eng., 2022)

AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. - Kailash Gogineni; Yongsheng Mei; Tian Lan 001; Peng Wei; Guru Venkataramani (ASAP, 2023)

MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001; Guru Venkataramani; Peng Wei (AAMAS, 2023)

RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. - Jingdi Chen; Lei Zhang; Joseph Riem; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (DSC, 2023)

A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. - Yongsheng Mei; Tian Lan 001; Mahdi Imani; Suresh Subramaniam 001 (ECAI, 2023)

Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. - Jiayu Chen; Dipesh Tamboli; Tian Lan 001; Vaneet Aggarwal (ICML, 2023)

Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. - Jiayu Chen; Tian Lan 001; Vaneet Aggarwal (ICRA, 2023)

Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. - Yangyang Wang; Xiao Zhang 015; Mingyi Li; Tian Lan 001; Huashan Chen; Hui Xiong 001; Xiuzhen Cheng 001; Dongxiao Yu (KDD, 2023)

Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. - Yongsheng Mei; Guru Venkataramani; Tian Lan 001 (ML4MHD, 2023)

Distributional-Utility Actor-Critic for Network Slice Performance Guarantee. - Jingdi Chen; Tian Lan 001; Nakjung Choi (MobiHoc, 2023)

Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation. - Jing Qiao; Shikun Shen; Shuzhen Chen 001; Xiao Zhang 015; Tian Lan 001; Xiuzhen Cheng 001; Dongxiao Yu (MobiHoc, 2023)

A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. - Jiayu Chen; Vaneet Aggarwal; Tian Lan 001 (NeurIPS, 2023)

Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. - Hanhan Zhou; Tian Lan 001; Guru Venkataramani; Wenbo Ding 001 (NeurIPS, 2023)

Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems. - Kailash Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (CoRR, 2023)

ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001 (CoRR, 2023)

Towards Efficient Multi-Agent Learning Systems. - Kailash Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (CoRR, 2023)

Hierarchical Deep Counterfactual Regret Minimization. - Jiayu Chen; Tian Lan 001; Vaneet Aggarwal (CoRR, 2023)

Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen; Mohammad Pedramfar; Vaneet Aggarwal; Tian Lan 001; Zheqing Zhu; Chi Zhou; Tim Gasser; Pol Mauri Ruiz; Vijay Menon; Neeraj Kumar 004; et al. (CoRR, 2023)

Scalable Multi-agent Skill Discovery based on Kronecker Graphs. - Jiayu Chen; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (CoRR, 2023)

AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. - Zihao Zhao 001; Yuzhu Mao; Zhenpeng Shi; Yang Liu 165; Tian Lan 001; Wenbo Ding 001; Xiao-Ping Zhang 002 (CoRR, 2023)

Minimizing Return Gaps with Discrete Communications in Decentralized POMDP. - Jingdi Chen; Tian Lan 001 (CoRR, 2023)

Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. - Hanhan Zhou; Tian Lan 001; Vaneet Aggarwal (CoRR, 2023)

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. - Guangfeng Yan; Tan Li 002; Tian Lan 001; Kui Wu 001; Linqi Song (CoRR, 2023)

Real-time Network Intrusion Detection via Decision Transformers. - Jingdi Chen; Hanhan Zhou; Yongsheng Mei; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (CoRR, 2023)

Forseti: Dynamic chunk-level reshaping for data processing on heterogeneous clusters. - Sultan Alamro; Tian Lan 001; Suresh Subramaniam 001 (J. Parallel Distributed Comput., 2023)

A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. - Nan Geng; Qinbo Bai; Chenyi Liu; Tian Lan 001; Vaneet Aggarwal; Yuan Yang 001; Mingwei Xu (IEEE Trans. Veh. Technol., 2023)

Machine Learning for Robust Network Design: A New Perspective. - Chenyi Liu; Vaneet Aggarwal; Tian Lan 001; Nan Geng; Yuan Yang 001; Mingwei Xu (IEEE Commun. Mag., 2023)

Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. - Jiayu Chen; Jingdi Chen; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Artif. Intell., 2023)

Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. - Hanhan Zhou; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Achieving High Availability in Inter-DC WAN Traffic Engineering. - Han Zhang 009; Xia Yin 001; Xingang Shi; Jilong Wang 001; Zhiliang Wang; Yingya Guo; Tian Lan 001; Yahui Li; Yongqing Zhu; Ke Ruan; Haijun Geng (IEEE/ACM Trans. Netw., 2023)

RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. - Jingdi Chen; Tian Lan 001; Carlee Joe-Wong (AAAI, 2024)

ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. - Huiqun Li; Hanhan Zhou; Yifei Zou; Dongxiao Yu; Tian Lan 001 (AAAI, 2024)

Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. - Amirhossein Ravari; Guangyu Jiang; Zuyuan Zhang; Mahdi Imani; Robert H. Thomson 001; Aryn A. Pyke; Nathaniel D. Bastian; Tian Lan 001 (IEEECONF, 2024)

Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. - Yongsheng Mei; Hanhan Zhou; Tian Lan 001 (AAMAS, 2024)

High-Level Human Intention Learning for Cooperative Decision-Making. - Yuxin Lin; Seyede Fatemeh Ghoreishi; Tian Lan 001; Mahdi Imani (CCTA, 2024)

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. - Yongsheng Mei; Mahdi Imani; Tian Lan 001 (ICLR, 2024)

Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems. - Kailash Gogineni; Yongsheng Mei; Karthikeya Gogineni; Peng Wei; Tian Lan 001; Guru Venkataramani (IISWC, 2024)

SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. - Kailash Gogineni; Sai Santosh Dayapule; Juan Gómez-Luna; Karthikeya Gogineni; Peng Wei; Tian Lan 001; Mohammad Sadrosadati; Onur Mutlu; Guru Venkataramani (ISPASS, 2024)

Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware. - Joseph Riem; Lei Zhang; Jingdi Chen; Henry Mackay; Tian Lan 001; Nathaniel D. Bastian; Gina C. Adam (MILCOM, 2024)

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. - Jingdi Chen; Hanhan Zhou; Yongsheng Mei; Carlee Joe-Wong; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (NeurIPS, 2024)

GPT-VR Nexus: ChatGPT-Powered Immersive Virtual Reality Experience. - Jiangong Chen; Tian Lan 001; Bin Li 014 (VR Workshops, 2024)

Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. - Zuyuan Zhang; Hanhan Zhou; Mahdi Imani; Taeyoung Lee; Tian Lan 001 (CoRR, 2024)

Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. - Zuyuan Zhang; Mahdi Imani; Tian Lan 001 (CoRR, 2024)

Variational Offline Multi-agent Skill Discovery. - Jiayu Chen; Bhargav Ganguly; Tian Lan 001; Vaneet Aggarwal (CoRR, 2024)

Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models. - Zeyu Fang; Tian Lan 001 (CoRR, 2024)

Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? - Yongsheng Mei; Liangqi Yuan; Dong-Jun Han; Kevin S. Chan; Christopher G. Brinton; Tian Lan 001 (CoRR, 2024)

Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. - Yurong Chen 005; Yongsheng Mei; Tian Lan 001; Guru Venkataramani (DTRAP, 2024)

Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. - Jiayu Chen; Bhargav Ganguly; Yang Xu 003; Yongsheng Mei; Tian Lan 001; Vaneet Aggarwal (Trans. Mach. Learn. Res., 2024)

FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. - Chenyi Liu; Vaneet Aggarwal; Tian Lan 001; Nan Geng; Yuan Yang 001; Mingwei Xu; Qing Li 006 (IEEE/ACM Trans. Netw., 2024)

SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. - Yuzhu Mao; Zihao Zhao 001; Meilin Yang; Le Liang; Yang Liu 165; Wenbo Ding 001; Tian Lan 001; Xiao-Ping Zhang 002 (IEEE Trans. Mob. Comput., 2024)

AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy. - Zihao Zhao 001; Yuzhu Mao; Zhenpeng Shi; Yang Liu 165; Tian Lan 001; Wenbo Ding 001; Xiao-Ping Zhang 002 (IEEE Trans. Mob. Comput., 2024)

Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. - Lei Zhang; Joseph Riem; Jingdi Chen; Henry Mackay; Tian Lan 001; Nathaniel D. Bastian; Gina C. Adam (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Hierarchical Adversarial Inverse Reinforcement Learning. - Jiayu Chen; Tian Lan 001; Vaneet Aggarwal (IEEE Trans. Neural Networks Learn. Syst., 2024)

De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation. - Jing Qiao; Shikun Shen; Shuzhen Chen 001; Xiao Zhang 015; Tian Lan 001; Xiuzhen Cheng 001; Dongxiao Yu (IEEE/ACM Trans. Netw., 2024)

Learning to Collaborate with Unknown Agents in the Absence of Reward. - Zuyuan Zhang; Hanhan Zhou; Mahdi Imani; Taeyoung Lee; Tian Lan 001 (AAAI, 2025)

Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. - Zuyuan Zhang; Vaneet Aggarwal; Tian Lan 001 (INFOCOM, 2025)

Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes. - Amirhossein Ravari; Seyede Fatemeh Ghoreishi; Tian Lan 001; Nathaniel D. Bastian; Mahdi Imani (L4DC, 2025)

Distributed Age-of-Information Scheduling With NOMA via Deep Reinforcement Learning. - Congwei Zhang; Yifei Zou; Zuyuan Zhang; Dongxiao Yu; Jorge Torres Gómez; Tian Lan 001; Falko Dressler; Xiuzhen Cheng 001 (IEEE Trans. Mob. Comput., 2025)

Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks. - Zuyuan Zhang; Tian Lan 001 (CoRR, 2025)

Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. - Chang-Lin Chen; Hanhan Zhou; Jiayu Chen; Mohammad Pedramfar; Tian Lan 001; Zheqing Zhu; Chi Zhou; Pol Mauri Ruiz; Neeraj Kumar 004; Hongbo Dong; Vaneet Aggarwal (IEEE Trans. Netw. Serv. Manag., 2025)

Rack Position Optimization in Large-Scale Heterogeneous Data Centers. - Chang-Lin Chen; Jiayu Chen; Tian Lan 001; Zhaoxia Zhao; Hongbo Dong; Vaneet Aggarwal (CoRR, 2025)

LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models. - Jiangong Chen; Xiaoyi Wu; Tian Lan 001; Bin Li 014 (IEEE Trans. Vis. Comput. Graph., 2025)

Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees. - Zuyuan Zhang; Arnob Ghosh; Tian Lan 001 (CoRR, 2025)

Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization. - Fei Xu Yu; Gina C. Adam; Nathaniel D. Bastian; Tian Lan 001 (CoRR, 2025)