Tian Lan - RankMe

234 papers A* 30A 16B 20C 1Misc 3Journal 125Unranked 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACDZero: MCTS Agent for Mastering Automated Cyber Defense. CoRR Yu Li, Sizhe Tang, Rongqian Chen, Fei Xu Yu, Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2026	J	`jnl`	Agent Alpha: Tree Search Unifying Generation, Exploration and Evaluation for Computer-Use Agents. CoRR Sizhe Tang, Rongqian Chen, Tian Lan
2026	J	`jnl`	Cochain Perspectives on Temporal-Difference Signals for Learning Beyond Markov Dynamics. CoRR Zuyuan Zhang, Sizhe Tang, Tian Lan
2026	J	`jnl`	Geometry of Drifting MDPs with Path-Integral Stability Certificates. CoRR Zuyuan Zhang, Mahdi Imani, Tian Lan
2026	J	`jnl`	LiSFC-Search: Lifelong Search for Network SFC Optimization under Non-stationary Drifts. CoRR Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2026	J	`jnl`	MINT: Minimal Information Neuro-Symbolic Tree for Objective-Driven Knowledge-Gap Reasoning and Active Elicitation. CoRR Zeyu Fang, Tian Lan, Mahdi Imani
2026	J	`jnl`	Manifold-Constrained Energy-Based Transition Models for Offline Reinforcement Learning. CoRR Zeyu Fang, Zuyuan Zhang, Mahdi Imani, Tian Lan
2026	J	`jnl`	Reasoning Knowledge-Gap in Drone Planning via LLM-based Active Elicitation. CoRR Zeyu Fang, Beomyeol Yu, Cheng Liu, Zeyuan Yang, Rongqian Chen, Yuxin Lin, Mahdi Imani, Tian Lan
2026	J	`jnl`	Structuring Value Representations via Geometric Coherence in Markov Decision Processes. CoRR Zuyuan Zhang, Zeyu Fang, Tian Lan
2026	J	`jnl`	Uncertainty Mitigation and Intent Inference: A Dual-Mode Human-Machine Joint Planning System. CoRR Zeyu Fang, Yuxin Lin, Cheng Liu, Beomyeol Yu, Zeyuan Yang, Rongqian Chen, Taeyoung Lee, Mahdi Imani, Tian Lan
2025	J	`jnl`	A Neurosymbolic Framework for Interpretable Cognitive Attack Detection in Augmented Reality. CoRR Rongqian Chen, Allison Andreyev, Yanming Xiu, Mahdi Imani, Bin Li, Maria Gorlatova, Gang Tan, Tian Lan
2025	—	`conf`	Adversarial Decoy Placement for Strategic State Perturbations in Artificial Intelligence Driven Defense. CDC Armita Kazeminajafabadi, Michael Everett, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025	—	`conf`	Agentic AI for Cyber Defense: LLM-Guided Hierarchical Multi-Agent Reinforcement Learning. MILCOM Guangyu Jiang, Mahdi Imani, Nathaniel D. Bastian, Tian Lan
2025	J	`jnl`	AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI. CoRR Qiufeng Li, Shu Hong, Jian Gao, Xuan Zhang, Tian Lan, Weidong Cao
2025	—	`conf`	Chiplet-based Implementation of Decision Trees for Network Intrusion Detection. MILCOM Md Abrar Ibtesham, Lei Zhang, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025	—	`conf`	Decision Trees Mapped to Memristive Hardware for Network Intrusion Detection. MILCOM Syed Sameer Nadeem, Osama Yousuf, Joseph Riem, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2025	—	`conf`	Decision-Theoretic Learning of Human Perception in Uncertain Environments. IEEECONF Mohammad Alali, Tian Lan, Seyede Fatemeh Ghoreishi, Mahdi Imani
2025	B	`conf`	Demo: Perception Graph for Cognitive Attack Reasoning in Augmented Reality. MobiHoc Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	J	`jnl`	Distributed Age-of-Information Scheduling With NOMA via Deep Reinforcement Learning. IEEE Trans. Mob. Comput. Congwei Zhang, Yifei Zou, Zuyuan Zhang, Dongxiao Yu, Jorge Torres Gómez, Tian Lan, Falko Dressler, Xiuzhen Cheng
2025	—	`conf`	Game-Theoretic Defense Policy for Network Security Against Intelligent Adversary. CASE Armita Kazeminajafabadi, Tian Lan, Mahdi Imani
2025	J	`jnl`	Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations. CoRR Shu Hong, Yongsheng Mei, Mahdi Imani, Tian Lan
2025	—	`conf`	Hybrid Modeling of Heterogeneous Human Teams for Collaborative Decision Processes. L4DC Amirhossein Ravari, Seyede Fatemeh Ghoreishi, Tian Lan, Nathaniel D. Bastian, Mahdi Imani
2025	—	`conf`	LAMPS: Learning-based Mobility Planning via Posterior State Inference using Gaussian Cox Process Models. INFOCOM WKSHPS Egemen Erbayat, Yongsheng Mei, Gina C. Adam, Suresh Subramaniam, Sean M. Coffey, Nathaniel D. Bastian, Tian Lan
2025	J	`jnl`	LLMER: Crafting Interactive Extended Reality Worlds with JSON Data Generated by Large Language Models. IEEE Trans. Vis. Comput. Graph. Jiangong Chen, Xiaoyi Wu, Tian Lan, Bin Li
2025	A*	`conf`	Learning to Collaborate with Unknown Agents in the Absence of Reward. AAAI Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2025	J	`jnl`	Learning-Based Two-Tiered Online Optimization of Region-Wide Datacenter Resource Allocation. IEEE Trans. Netw. Serv. Manag. Chang-Lin Chen, Hanhan Zhou, Jiayu Chen, Mohammad Pedramfar, Tian Lan, Zheqing Zhu, Chi Zhou, Pol Mauri Ruiz, Neeraj Kumar, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	Lipschitz Lifelong Monte Carlo Tree Search for Mastering Non-Stationary Tasks. CoRR Zuyuan Zhang, Tian Lan
2025	J	`jnl`	MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning. CoRR Sizhe Tang, Jiayu Chen, Tian Lan
2025	—	`conf`	Multi-Agent Cyber Defense with Multi-Level Zero-Trust Actions. MILCOM Mahdi Imani, Tian Lan, Nathaniel D. Bastian
2025	A*	`conf`	Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. INFOCOM Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2025	J	`jnl`	Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration. CoRR Zuyuan Zhang, Vaneet Aggarwal, Tian Lan
2025	J	`jnl`	Optimizing Prompt Sequences using Monte Carlo Tree Search for LLM-Based Optimization. CoRR Fei Xu Yu, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2025	J	`jnl`	Perception Graph for Cognitive Attack Reasoning in Augmented Reality. CoRR Rongqian Chen, Shu Hong, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	B	`conf`	Personalized Bayesian Networks for Cybersickness Prediction in Virtual Reality. MobiHoc Peng Wu, Nasim Ahmed, Kaiming Huang, Rifatul Islam, Tian Lan, Gang Tan, Mahdi Imani
2025	B	`conf`	Poster: Time-Aware LSTM for Gaze Prediction in Mixed Reality Under Latency Perturbations. MobiHoc Shu Hong, Rongqian Chen, Rifatul Islam, Mahdi Imani, Gang Tan, Tian Lan
2025	A*	`conf`	Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks. ISMAR Peng Wu, Nasim Ahmed, Abhiram Sarma, Kaiming Huang, Rifatul Islam, Bin Li, Tian Lan, Gang Tan, Mahdi Imani
2025	J	`jnl`	Rack Position Optimization in Large-Scale Heterogeneous Data Centers. CoRR Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal
2025	J	`jnl`	Tail-Risk-Safe Monte Carlo Tree Search under PAC-Level Guarantees. CoRR Zuyuan Zhang, Arnob Ghosh, Tian Lan
2025	B	`conf`	Validating Safety Guarantees of LSTM Models in MR Context. MobiHoc Kaiming Huang, Peng Wu, Mahdi Imani, Tian Lan, Gang Tan
2025	A*	`conf`	Variational Offline Multi-agent Skill Discovery. IJCAI Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	AQUILA: Communication Efficient Federated Learning With Adaptive Quantization in Device Selection Strategy. IEEE Trans. Mob. Comput. Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang
2024	—	`conf`	Adversarial Inverse Learning of Defense Policies Conditioned on Human Factor Models. IEEECONF Amirhossein Ravari, Guangyu Jiang, Zuyuan Zhang, Mahdi Imani, Robert H. Thomson, Aryn A. Pyke, Nathaniel D. Bastian, Tian Lan
2024	A*	`conf`	Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR Yongsheng Mei, Mahdi Imani, Tian Lan
2024	J	`jnl`	Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR Yongsheng Mei, Mahdi Imani, Tian Lan
2024	—	`conf`	Characterizing and Optimizing the End-to-End Performance of Multi-Agent Reinforcement Learning Systems. IISWC Kailash Gogineni, Yongsheng Mei, Karthikeya Gogineni, Peng Wei, Tian Lan, Guru Venkataramani
2024	—	`conf`	Co-Design of Decision Trees for Network Intrusion Detection at the Edge on Digital vs. Analog Hardware. MILCOM Joseph Riem, Lei Zhang, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024	J	`jnl`	Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
2024	A*	`conf`	ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. AAAI Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan
2024	J	`jnl`	De-RPOTA: Decentralized Learning With Resource Adaptation and Privacy Preservation Through Over-the-Air Computation. IEEE/ACM Trans. Netw. Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang, Tian Lan, Xiuzhen Cheng, Dongxiao Yu
2024	J	`jnl`	Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. CoRR Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions. Trans. Mach. Learn. Res. Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal
2024	J	`jnl`	Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. DTRAP Yurong Chen, Yongsheng Mei, Tian Lan, Guru Venkataramani
2024	J	`jnl`	FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. IEEE/ACM Trans. Netw. Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li
2024	—	`conf`	GPT-VR Nexus: ChatGPT-Powered Immersive Virtual Reality Experience. VR Workshops Jiangong Chen, Tian Lan, Bin Li
2024	J	`jnl`	Hierarchical Adversarial Inverse Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Jiayu Chen, Tian Lan, Vaneet Aggarwal
2024	—	`conf`	High-Level Human Intention Learning for Cooperative Decision-Making. CCTA Yuxin Lin, Seyede Fatemeh Ghoreishi, Tian Lan, Mahdi Imani
2024	J	`jnl`	Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models. CoRR Zeyu Fang, Tian Lan
2024	J	`jnl`	Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR Zuyuan Zhang, Mahdi Imani, Tian Lan
2024	J	`jnl`	Multi-Memristor Based Distributed Decision Tree Circuit for Cybersecurity Applications. IEEE Trans. Circuits Syst. I Regul. Pap. Lei Zhang, Joseph Riem, Jingdi Chen, Henry Mackay, Tian Lan, Nathaniel D. Bastian, Gina C. Adam
2024	A	`conf`	Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS Yongsheng Mei, Hanhan Zhou, Tian Lan
2024	A*	`conf`	RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI Jingdi Chen, Tian Lan, Carlee Joe-Wong
2024	A*	`conf`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. NeurIPS Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Carlee Joe-Wong, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2024	J	`jnl`	SAFARI: Sparsity-Enabled Federated Learning With Limited and Unreliable Communications. IEEE Trans. Mob. Comput. Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang
2024	B	`conf`	SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. ISPASS Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani
2024	J	`jnl`	SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems. CoRR Kailash Gogineni, Sai Santosh Dayapule, Juan Gómez-Luna, Karthikeya Gogineni, Peng Wei, Tian Lan, Mohammad Sadrosadati, Onur Mutlu, Guru Venkataramani
2024	J	`jnl`	Using Diffusion Models as Generative Replay in Continual Federated Learning - What will Happen? CoRR Yongsheng Mei, Liangqi Yuan, Dong-Jun Han, Kevin S. Chan, Christopher G. Brinton, Tian Lan
2024	J	`jnl`	Variational Offline Multi-agent Skill Discovery. CoRR Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal
2023	A	`conf`	A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2023	J	`jnl`	A Reinforcement Learning Framework for Vehicular Network Routing Under Peak and Average Constraints. IEEE Trans. Veh. Technol. Nan Geng, Qinbo Bai, Chenyi Liu, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2023	A*	`conf`	A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS Jiayu Chen, Vaneet Aggarwal, Tian Lan
2023	J	`jnl`	AQUILA: Communication Efficient Federated Learning with Adaptive Quantization of Lazily-Aggregated Gradients. CoRR Zihao Zhao, Yuzhu Mao, Zhenpeng Shi, Yang Liu, Tian Lan, Wenbo Ding, Xiao-Ping Zhang
2023	—	`conf`	AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. ASAP Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani
2023	J	`jnl`	AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. CoRR Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani
2023	J	`jnl`	Achieving High Availability in Inter-DC WAN Traffic Engineering. IEEE/ACM Trans. Netw. Han Zhang, Xia Yin, Xingang Shi, Jilong Wang, Zhiliang Wang, Yingya Guo, Tian Lan, Yahui Li, Yongqing Zhu, Ke Ruan, Haijun Geng
2023	B	`conf`	Communication Resources Limited Decentralized Learning with Privacy Guarantee through Over-the-Air Computation. MobiHoc Jing Qiao, Shikun Shen, Shuzhen Chen, Xiao Zhang, Tian Lan, Xiuzhen Cheng, Dongxiao Yu
2023	J	`jnl`	ConcaveQ: Non-Monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning. CoRR Huiqun Li, Hanhan Zhou, Yifei Zou, Dongxiao Yu, Tian Lan
2023	B	`conf`	Distributional-Utility Actor-Critic for Network Slice Performance Guarantee. MobiHoc Jingdi Chen, Tian Lan, Nakjung Choi
2023	A*	`conf`	Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. NeurIPS Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2023	J	`jnl`	Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2023	—	`conf`	Explainable Learning-Based Intrusion Detection Supported by Memristors. CAI Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation. CoRR Yongsheng Mei, Tian Lan, Guru Venkataramani
2023	—	`conf`	Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD Yongsheng Mei, Guru Venkataramani, Tian Lan
2023	J	`jnl`	FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design. CoRR Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu, Qing Li
2023	J	`jnl`	Forseti: Dynamic chunk-level reshaping for data processing on heterogeneous clusters. J. Parallel Distributed Comput. Sultan Alamro, Tian Lan, Suresh Subramaniam
2023	J	`jnl`	Hierarchical Deep Counterfactual Regret Minimization. CoRR Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. CoRR Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song
2023	J	`jnl`	Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023	A	`conf`	MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. AAMAS Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023	J	`jnl`	MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. CoRR Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
2023	J	`jnl`	Machine Learning for Robust Network Design: A New Perspective. IEEE Commun. Mag. Chenyi Liu, Vaneet Aggarwal, Tian Lan, Nan Geng, Yuan Yang, Mingwei Xu
2023	J	`jnl`	Minimizing Return Gaps with Discrete Communications in Decentralized POMDP. CoRR Jingdi Chen, Tian Lan
2023	A*	`conf`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
2023	A*	`conf`	Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA Jiayu Chen, Tian Lan, Vaneet Aggarwal
2023	—	`conf`	RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. DSC Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	RIDE: Real-time Intrusion Detection via Explainable Machine Learning Implemented in a Memristor Hardware Architecture. CoRR Jingdi Chen, Lei Zhang, Joseph Riem, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	ReMIX: Regret Minimization for Monotonic Value Function Factorization in Multiagent Reinforcement Learning. CoRR Yongsheng Mei, Hanhan Zhou, Tian Lan
2023	J	`jnl`	Real-time Network Intrusion Detection via Decision Transformers. CoRR Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
2023	J	`jnl`	Scalability Bottlenecks in Multi-Agent Reinforcement Learning Systems. CoRR Kailash Gogineni, Peng Wei, Tian Lan, Guru Venkataramani
2023	J	`jnl`	Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2023	J	`jnl`	Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2023	A*	`conf`	Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. KDD Yangyang Wang, Xiao Zhang, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng, Dongxiao Yu
2023	J	`jnl`	Towards Efficient Multi-Agent Learning Systems. CoRR Kailash Gogineni, Peng Wei, Tian Lan, Guru Venkataramani
2023	J	`jnl`	Two-tiered Online Optimization of Region-wide Datacenter Resource Allocation via Deep Reinforcement Learning. CoRR 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
2023	J	`jnl`	Value Functions Factorization With Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. IEEE Trans. Emerg. Top. Comput. Intell. Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	A Bayesian Optimization Framework for Finding Local Optima in Expensive Multi-Modal Functions. CoRR Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
2022	J	`jnl`	A Framework for Server Authentication using Communication Protocol Dialects. CoRR Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
2022	J	`jnl`	AC-SGD: Adaptively Compressed SGD for Communication-Efficient Distributed Learning. IEEE J. Sel. Areas Commun. Guangfeng Yan, Tan Li, Shao-Lun Huang, Tian Lan, Linqi Song
2022	A	`conf`	Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. ICDCS Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2022	J	`jnl`	Communication-Efficient Federated Learning with Adaptive Quantization. ACM Trans. Intell. Syst. Technol. Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding
2022	J	`jnl`	From Network Inference Errors to Utility Suboptimality: How Much Is the Impact? IEEE Trans. Netw. Sci. Eng. Shijing Li, Tian Lan
2022	J	`jnl`	Hierarchical Adversarial Inverse Reinforcement Learning. CoRR Jiayu Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Learning-Based Online QoE Optimization in Multi-Agent Video Streaming. Algorithms Yimeng Wang, Mridul Agarwal, Tian Lan, Vaneet Aggarwal
2022	A	`conf`	Multi-Objective Reinforcement Learning with Non-Linear Scalarization. AAMAS Mridul Agarwal, Vaneet Aggarwal, Tian Lan
2022	J	`jnl`	Multi-agent Covering Option Discovery based on Kronecker Product of Factor Graphs. CoRR Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	A	`conf`	Multi-agent Covering Option Discovery through Kronecker Product of Factor Graphs. AAMAS Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Multi-agent Deep Covering Option Discovery. CoRR Jiayu Chen, Marina Haliem, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	ODPP: A Unified Algorithm Framework for Unsupervised Option Discovery based on Determinantal Point Process. CoRR Jiayu Chen, Vaneet Aggarwal, Tian Lan
2022	J	`jnl`	On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
2022	J	`jnl`	PAC: Assisted Value Factorisation with Counterfactual Predictions in Multi-Agent Reinforcement Learning. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	A*	`conf`	PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Pushing Collaborative Data Deduplication to the Network Edge: An Optimization Framework and System Design. IEEE Trans. Netw. Sci. Eng. Shijing Li, Tian Lan, Bharath Balasubramanian, Hee Won Lee, Moo-Ryong Ra, Rajesh Krishna Panta
2022	J	`jnl`	SAFARI: Sparsity enabled Federated Learning with Limited and Unreliable Communications. CoRR Yuzhu Mao, Zihao Zhao, Meilin Yang, Le Liang, Yang Liu, Wenbo Ding, Tian Lan, Xiao-Ping Zhang
2022	A*	`conf`	Scalable Multi-agent Covering Option Discovery based on Kronecker Graphs. NeurIPS Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
2022	J	`jnl`	Value Functions Factorization with Latent State Information Sharing in Decentralized Multi-Agent Policy Gradients. CoRR Hanhan Zhou, Tian Lan, Vaneet Aggarwal
2022	—	`conf`	Verify-Pro: A Framework for Server Authentication Using Communication Protocol Dialects. MILCOM Kailash Gogineni, Yongsheng Mei, Guru Venkataramani, Tian Lan
2021	A	`conf`	Boosting bandwidth availability over inter-DC WAN. CoNEXT Han Zhang, Xingang Shi, Xia Yin, Jilong Wang, Zhiliang Wang, Yingya Guo, Tian Lan
2021	A*	`conf`	Bringing Fairness to Actor-Critic Reinforcement Learning for Network Utility Optimization. INFOCOM Jingdi Chen, Yimeng Wang, Tian Lan
2021	—	`conf`	CMIX: Deep Multi-agent Reinforcement Learning with Peak and Average Constraints. ECML/PKDD (1) Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu
2021	J	`jnl`	Communication Efficient Federated Learning with Adaptive Quantization. CoRR Yuzhu Mao, Zihao Zhao, Guangfeng Yan, Yang Liu, Tian Lan, Linqi Song, Wenbo Ding
2021	B	`conf`	DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. MASS Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
2021	J	`jnl`	DQ-SGD: Dynamic Quantization in SGD for Communication-Efficient Distributed Learning. CoRR Guangfeng Yan, Shao-Lun Huang, Tian Lan, Linqi Song
2021	A*	`conf`	DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. ICAPS Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021	J	`jnl`	DeepFreight: A Model-free Deep-reinforcement-learning-based Algorithm for Multi-transfer Freight Delivery. CoRR Jiayu Chen, Abhishek K. Umrawal, Tian Lan, Vaneet Aggarwal
2021	J	`jnl`	FastTrack: Minimizing Stalls for CDN-Based Over-the-Top Video Streaming Systems. IEEE Trans. Cloud Comput. Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Chen
2021	J	`jnl`	Integrated Reasoning Engine for Pointer-related Code Clone Detection. CoRR Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
2021	A*	`conf`	Live Gradient Compensation for Evading Stragglers in Distributed Learning. INFOCOM Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2021	—	`conf`	MPD: Moving Target Defense Through Communication Protocol Dialects. SecureComm (1) Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
2021	J	`jnl`	MPD: Moving Target Defense through Communication Protocol Dialects. CoRR Yongsheng Mei, Kailash Gogineni, Tian Lan, Guru Venkataramani
2021	J	`jnl`	Modeling and Optimization of Latency in Erasure-coded Storage Systems. Found. Trends Commun. Inf. Theory Vaneet Aggarwal, Tian Lan
2021	J	`jnl`	On the Approximability of Related Machine Scheduling Under Arbitrary Precedence. IEEE Trans. Netw. Serv. Manag. Vaneet Aggarwal, Tian Lan, Suresh Subramaniam, Maotong Xu
2021	J	`jnl`	Optimizing Job Reliability Through Contention-Free, Distributed Checkpoint Scheduling. IEEE Trans. Netw. Serv. Manag. Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam
2021	J	`jnl`	PT-VTON: an Image-Based Virtual Try-On Network with Progressive Pose Attention Transfer. CoRR Hanhan Zhou, Tian Lan, Guru Venkataramani
2021	J	`jnl`	Preemptive scheduling on unrelated machines with fractional precedence constraints. J. Parallel Distributed Comput. Vaneet Aggarwal, Tian Lan, Dheeraj Peddireddy
2021	J	`jnl`	SignGuard: Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering. CoRR Jian Xu, Shao-Lun Huang, Linqi Song, Tian Lan
2021	B	`conf`	Timely Probabilistic Data Preprocessing in Mobile Edge Computing. WCNC Peng Zou, Xianglin Wei, Omur Ozel, Tian Lan, Suresh Subramaniam
2020	B	`conf`	A Multi-agent Reinforcement Learning Perspective on Distributed Traffic Engineering. ICNP Nan Geng, Tian Lan, Vaneet Aggarwal, Yuan Yang, Mingwei Xu
2020	J	`jnl`	CHOP: Bypassing runtime bounds checking through convex hull Optimization. Comput. Secur. Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani
2020	A*	`conf`	HotDedup: Managing Hot Data Storage at Network Edge through Optimal Distributed Deduplication. INFOCOM Shijing Li, Tian Lan
2020	—	`conf`	Hunting Garbage Collection Related Concurrency Bugs through Critical Condition Restoration. FEAST@CCS Hanhan Zhou, Tian Lan, Guru Venkataramani
2020	J	`jnl`	Modeling and Optimization of Latency in Erasure-coded Storage Systems. CoRR Vaneet Aggarwal, Tian Lan
2020	J	`jnl`	Shed+: Optimal Dynamic Speculation to Meet Application Deadlines in Cloud. IEEE Trans. Netw. Serv. Manag. Sultan Alamro, Maotong Xu, Tian Lan, Suresh Subramaniam
2020	—	`conf`	Twin-Finder: Integrated Reasoning Engine for Pointer-Related Code Clone Detection. IWSC Hongfa Xue, Yongsheng Mei, Kailash Gogineni, Guru Venkataramani, Tian Lan
2019	B	`conf`	A Reinforcement Learning Approach for Online Service Tree Placement in Edge Computing. ICNP Yimeng Wang, Yongbo Li, Tian Lan, Nakjung Choi
2019	J	`jnl`	AMASS: Automated Software Mass Customization via Feature Identification and Tailoring. EAI Endorsed Trans. Security Safety Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan
2019	J	`jnl`	CHOP: Bypassing Runtime Bounds Checking Through Convex Hull OPtimization. CoRR Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani
2019	—	`conf`	CustomPro: Network Protocol Customization Through Cross-Host Feature Analysis. SecureComm (2) Yurong Chen, Tian Lan, Guru Venkataramani
2019	—	`conf`	Deep Q-Learning for Chunk-based Caching in Data Processing Networks. Allerton Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal
2019	J	`jnl`	DeepChunk: Deep Q-Learning for Chunk-Based Caching in Wireless Data Processing Networks. IEEE Trans. Cogn. Commun. Netw. Yimeng Wang, Yongbo Li, Tian Lan, Vaneet Aggarwal
2019	J	`jnl`	Differentiated Latency in Data Center Networks with Erasure Coded Files Through Traffic Engineering. IEEE Trans. Cloud Comput. Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2019	A	`conf`	EF-Dedup: Enabling Collaborative Data Deduplication at the Network Edge. ICDCS Shijing Li, Tian Lan, Bharath Balasubramanian, Moo-Ryong Ra, Hee Won Lee, Rajesh K. Panta
2019	—	`conf`	Exploring Effective Fuzzing Strategies to Analyze Communication Protocols. FEAST@CCS Yurong Chen, Tian Lan, Guru Venkataramani
2019	—	`conf`	Hecate: Automated Customization of Program and Communication Features to Reduce Attack Surfaces. SecureComm (2) Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan
2019	J	`jnl`	Machine Learning-Based Analysis of Program Binaries: A Comprehensive Study. IEEE Access Hongfa Xue, Shaowen Sun, Guru Venkataramani, Tian Lan
2019	J	`jnl`	Mobile Ad Prefetching and Energy Optimization via Tail Energy Accounting. IEEE Trans. Mob. Comput. Yongbo Li, Yimeng Wang, Tian Lan
2019	J	`jnl`	TTLoC: Taming Tail Latency for Erasure-Coded Cloud Storage Systems. IEEE Trans. Netw. Serv. Manag. Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan
2019	J	`jnl`	Tiered Cloud Storage via Two-Stage, Latency-Aware Bidding. IEEE Trans. Netw. Serv. Manag. Yang Zhang, Arnob Ghosh, Vaneet Aggarwal, Tian Lan
2019	J	`jnl`	Twin-Finder: Integrated Reasoning Engine for Pointer-related Code Clone Detection. CoRR Hongfa Xue, Guru Venkataramani, Tian Lan
2018	A	`conf`	Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-Critical MapReduce Jobs. ICDCS Maotong Xu, Sultan Alamro, Tian Lan, Suresh Subramaniam
2018	J	`jnl`	Chronos: A Unifying Optimization Framework for Speculative Execution of Deadline-critical MapReduce Jobs. CoRR Maotong Xu, Sultan Alamro, Tian Lan, Suresh Subramaniam
2018	—	`conf`	Clone-Slicer: Detecting Domain Specific Binary Code Clones through Program Slicing. FEAST@CCS Hongfa Xue, Guru Venkataramani, Tian Lan
2018	—	`conf`	Clone-hunter: accelerated bound checks elimination via binary code clone detection. MAPL@PLDI Hongfa Xue, Guru Venkataramani, Tian Lan
2018	J	`jnl`	FastTrack: Minimizing Stalls for CDN-based Over-the-top Video Streaming Systems. CoRR Abubakr O. Al-Abbasi, Vaneet Aggarwal, Tian Lan, Yu Xiang, Moo-Ryong Ra, Yih-Farn Robin Chen
2018	J	`jnl`	Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage. IEEE Trans. Parallel Distributed Syst. Shijing Li, Tian Lan, Moo-Ryong Ra, Rajesh Krishna Panta
2018	A*	`conf`	MORPH: Enhancing System Security through Interactive Customization of Application and Communication Protocol Features. CCS Hongfa Xue, Yurong Chen, Guru Venkataramani, Tian Lan, Guang Jin, Jason H. Li
2018	B	`conf`	Multichoice Games for Optimizing Task Assignment in Edge Computing. GLOBECOM Yongbo Li, Tian Lan
2018	—	`conf`	Shed: Optimal Dynamic Cloning to Meet Application Deadlines in Cloud. ICC Sultan Alamro, Maotong Xu, Tian Lan, Suresh Subramaniam
2018	—	`conf`	TOSS: Tailoring Online Server Systems through Binary Feature Customization. FEAST@CCS Yurong Chen, Shaowen Sun, Tian Lan, Guru Venkataramani
2017	J	`jnl`	CRED: Cloud Right-Sizing with Execution Deadlines and Data Locality. IEEE Trans. Parallel Distributed Syst. Maotong Xu, Sultan Alamro, Tian Lan, Suresh Subramaniam
2017	B	`conf`	Capitalizing on the Promise of Ad Prefetching in Real-World Mobile Systems. MASS Yimeng Wang, Yongbo Li, Tian Lan
2017	—	`conf`	DamGate: Dynamic Adaptive Multi-feature Gating in Program Binaries. FEAST@CCS Yurong Chen, Tian Lan, Guru Venkataramani
2017	B	`conf`	Deadline-Aware Task Scheduling in a Tiered IoT Infrastructure. GLOBECOM Jianhua Fan, Xianglin Wei, Tongxiang Wang, Tian Lan, Suresh Subramaniam
2017	J	`jnl`	Elastic Reliability Optimization Through Peer-to-Peer Checkpointing in Cloud Computing. IEEE Trans. Parallel Distributed Syst. Juzi Zhao, Yu Xiang, Tian Lan, H. Howie Huang, Suresh Subramaniam
2017	B	`conf`	LASER: A Deep Learning Approach for Speculative Execution and Replication of Deadline-Critical Jobs in Cloud. ICCCN Maotong Xu, Sultan Alamro, Tian Lan, Suresh Subramaniam
2017	A	`conf`	MobiQoR: Pushing the Envelope of Mobile Edge Computing Via Quality-of-Result Optimization. ICDCS Yongbo Li, Yurong Chen, Tian Lan, Guru Venkataramani
2017	J	`jnl`	On the Optimality of Scheduling Dependent MapReduce Tasks on Heterogeneous Machines. CoRR Vaneet Aggarwal, Maotong Xu, Tian Lan, Suresh Subramaniam
2017	J	`jnl`	Optimizing Differentiated Latency in Multi-Tenant, Erasure-Coded Storage. IEEE Trans. Netw. Serv. Manag. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Chen
2017	—	`conf`	Optimizing Speculative Execution of Deadline-Sensitive Jobs in Cloud. SIGMETRICS (Abstracts) Maotong Xu, Sultan Alamro, Tian Lan, Suresh Subramaniam
2017	A	`conf`	S3: Joint Scheduling and Source Selection for Background Traffic in Erasure-Coded Storage. ICDCS Shijing Li, Tian Lan, Moo-Ryong Ra, Rajesh Krishna Panta
2017	Misc	`conf`	SIMBER: Eliminating Redundant Memory Bound Checks via Statistical Inference. SEC Hongfa Xue, Yurong Chen, Fan Yao, Yongbo Li, Tian Lan, Guru Venkataramani
2017	J	`jnl`	Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. IEEE/ACM Trans. Netw. Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2017	A	`conf`	StatSym: Vulnerable Path Discovery through Statistics-Guided Symbolic Execution. DSN Fan Yao, Yongbo Li, Yurong Chen, Hongfa Xue, Tian Lan, Guru Venkataramani
2017	J	`jnl`	Taming Tail Latency for Erasure-coded, Distributed Storage Systems. CoRR Vaneet Aggarwal, Abubakr O. Al-Abbasi, Jingxian Fan, Tian Lan
2017	A*	`conf`	Taming tail latency for erasure-coded, distributee storage systems. INFOCOM Vaneet Aggarwal, Jingxian Fan, Tian Lan
2016	Misc	`conf`	Background traffic optimization for meeting deadlines in data center storage. CISS Shijing Li, Tian Lan, Moo-Ryong Ra, Rajesh Krishna Panta
2016	B	`conf`	CRED: Cloud Right-Sizing to Meet Execution Deadlines and Data Locality. CLOUD Sultan Alamro, Maotong Xu, Tian Lan, Suresh Subramaniam
2016	J	`jnl`	Differentiated latency in data center networks with erasure coded files through traffic engineering. CoRR Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2016	J	`jnl`	Joint Latency and Cost Optimization for Erasure-Coded Data Center Storage. IEEE/ACM Trans. Netw. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2016	A	`conf`	RUSH: A RobUst ScHeduler to Manage Uncertain Completion-Times in Shared Clouds. ICDCS Zhe Huang, Bharath Balasubramanian, Michael Wang, Tian Lan, Mung Chiang, Danny H. K. Tsang
2016	J	`jnl`	SARRE: Semantics-Aware Rule Recommendation and Enforcement for Event Paths on Android. IEEE Trans. Inf. Forensics Secur. Yongbo Li, Fan Yao, Tian Lan, Guru Venkataramani
2016	A	`conf`	Sprout: A Functional Caching Approach to Minimize Service Latency in Erasure-Coded Storage. ICDCS Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2016	J	`jnl`	Sprout: A functional caching approach to minimize service latency in erasure-coded storage. CoRR Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan, Yu Xiang
2016	J	`jnl`	Tail Index for a Distributed Storage System with Pareto File Size Distribution. CoRR Vaneet Aggarwal, Tian Lan
2015	J	`jnl`	Design and Optimization of Hierarchical Routing Protocol for 6LoWPAN. Int. J. Distributed Sens. Networks Ming Liu, Yang Xu, Shuai Wu, Tian Lan
2015	A	`conf`	Multi-tenant Latency Optimization in Erasure-Coded Storage with Differentiated Services. ICDCS Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2015	A*	`conf`	Need for speed: CORA scheduler for optimizing completion-times in the cloud. INFOCOM Zhe Huang, Bharath Balasubramanian, Michael Wang, Tian Lan, Mung Chiang, Danny H. K. Tsang
2015	C	`conf`	POSTER: Semantics-Aware Rule Recommendation and Enforcement for Event Paths. SecureComm Yongbo Li, Fan Yao, Tian Lan, Guru Venkataramani
2015	B	`conf`	Taming Latency in Data Center Networking with Erasure Coded Files. CCGRID Yu Xiang, Vaneet Aggarwal, Yih-Farn Robin Chen, Tian Lan
2014	J	`jnl`	Joint Latency and Cost Optimization for Erasure-coded Data Center Storage. CoRR Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2014	J	`jnl`	Joint latency and cost optimization for erasurecoded data center storage. SIGMETRICS Perform. Evaluation Rev. Yu Xiang, Tian Lan, Vaneet Aggarwal, Yih-Farn Robin Chen
2014	—	`conf`	Optimizing job reliability via contention-free, distributed scheduling of vm checkpointing. DCC@SIGCOMM Yu Xiang, Hang Liu, Tian Lan, H. Howie Huang, Suresh Subramaniam
2014	A*	`conf`	Rethink energy accounting with cooperative game theory. MobiCom Mian Dong, Tian Lan, Lin Zhong
2014	A*	`conf`	SAP: Similarity-aware partitioning for efficient cloud storage. INFOCOM Bharath Balasubramanian, Tian Lan, Mung Chiang
2013	A*	`conf`	How does energy accounting matter for energy management? SIGMETRICS Mian Dong, Tian Lan, Lin Zhong
2013	J	`jnl`	Multiresource Allocation: Fairness-Efficiency Tradeoffs in a Unifying Framework. IEEE/ACM Trans. Netw. Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang
2013	—	`conf`	Self-Adaptive, Deadline-Aware Resource Control in Cloud Computing. SASO Workshops Yu Xiang, Bharath Balasubramanian, Michael Wang, Tian Lan, Soumya Sen, Mung Chiang
2012	—	`conf`	Autonomous, Collaborative Control for Resilient Cyber Defense (ACCORD). SASO Workshops Stuart Wagner, Eric van den Berg, Jim Giacopelli, Andrei Ghetie, Jim Burns, Miriam Tauil, Soumya Sen, Michael Wang, Mung Chiang, Tian Lan, Robert Laddaga, Paul Robertson, Prakash Manghwani
2012	Misc	`conf`	Datacenter net profit optimization with deadline dependent pricing. CISS Wei Wang, Peng Zhang, Tian Lan, Vaneet Aggarwal
2012	A*	`conf`	Joint VM placement and routing for data center traffic engineering. INFOCOM Joe Wenjie Jiang, Tian Lan, Sangtae Ha, Minghua Chen, Mung Chiang
2012	A*	`conf`	Multi-resource allocation: Fairness-efficiency tradeoffs in a unifying framework. INFOCOM Carlee Joe-Wong, Soumya Sen, Tian Lan, Mung Chiang
2012	—	`conf`	Providing reliability as an elastic service in cloud computing. ICC Nakharin Limrungsi, Juzi Zhao, Yu Xiang, Tian Lan, H. Howie Huang, Suresh Subramaniam
2012	A	`conf`	System energy consumption is a multi-player game. ICCAD Mian Dong, Tian Lan, Lin Zhong
2011	—	`ch.`	Key Management in Sensor Networks. Theoretical Aspects of Distributed Computing in Sensor Networks Dahai Xu, Jeffrey S. Dwoskin, Jianwei Huang, Tian Lan, Ruby B. Lee, Mung Chiang
2011	—	`conf`	Measuring fairness: Axioms and applications. Allerton Tian Lan, Mung Chiang
2011	J	`jnl`	Stability and benefits of suboptimal utility maximization. IEEE/ACM Trans. Netw. Tian Lan, Xiaojun Lin, Mung Chiang, Ruby B. Lee
2010	A*	`conf`	An Axiomatic Theory of Fairness in Network Resource Allocation. INFOCOM Tian Lan, David T. H. Kao, Mung Chiang, Ashutosh Sabharwal
2010	B	`conf`	Resource Allocation and Performance Study for LTE Networks Integrated with Femtocells. GLOBECOM Tian Lan, Kaustubh Sinkar, Latha A. Kant, Kenneth J. Kerpez
2010	A*	`conf`	Resource Allocation over Network Dynamics without Timescale Separation. INFOCOM Alexandre Proutière, Yung Yi, Tian Lan, Mung Chiang
2009	J	`jnl`	An Axiomatic Theory of Fairness CoRR Tian Lan, David T. H. Kao, Mung Chiang, Ashutosh Sabharwal
2009	B	`conf`	Multi-Path Key Establishment against REM Attacks in Wireless Ad Hoc Networks. GLOBECOM Tian Lan, Ruby B. Lee, Mung Chiang
2008	A*	`conf`	How Bad is Suboptimal Rate Allocation? INFOCOM Tian Lan, Xiaojun Lin, Mung Chiang, Ruby B. Lee
2007	B	`conf`	Joint Beamforming and Power Control for Optimal SIR Assignment in Cellular Uplinks. ISIT Tian Lan, Prashanth Hande, Mung Chiang
2007	J	`jnl`	Power Control in Wireless Cellular Networks. Found. Trends Netw. Mung Chiang, Prashanth Hande, Tian Lan, Chee-Wei Tan