Tian Lan

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 300

Top Venues

CoRR

ICDCS

INFOCOM

IEEE Trans. Netw. Serv. Manag.

University of California, Irvine, USA (PHD)

Education History

University of California, Irvine, USA

PHD

Publications

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 (2024)
Tian Lan, Luca Romanello, Mirko Kovac, Sophie F. Armanini, Basaran Bahadir Kocer
Aerial Tensile Perching and Disentangling Mechanism for Long-Term Environmental Monitoring. ICRA (2024)
Chen Xu, Tian Lan, Changlong Yu, Wei Wang, Jun Gao, Yu Ji, Qunxi Dong, Kun Qian, Piji Li, Wei Bi, Bin Hu
DECIDER: A Rule-Controllable Decoding Strategy for Language Generation by Imitating Dual-System Cognitive Theory. CoRR (2024)
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese
Text2Data: Low-Resource Data Generation with Textual Control. CoRR (2024)
Tian Lan, Shuquan Su, Pengyao Ping, Gyorgy Hutvagner, Tao Liu, Yi Pan, Jinyan Li
Generating mutants of monotone affinity towards stronger protein complexes through adversarial learning. Nat. Mac. Intell. 6 (3) (2024)
Tian Lan, Deng Cai, Yan Wang, Yixuan Su, Heyan Huang, Xian-Ling Mao
Exploring Dense Retrieval for Dialogue Response Selection. ACM Trans. Inf. Syst. 42 (3) (2024)
Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xianling Mao
CriticBench: Evaluating Large Language Models as Critic. CoRR (2024)
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) (2024)
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) (2024)
Yanjie Cao, Xiaopeng Yang, Conglong Guo, Dong Li, Peng Yin, Tian Lan
Subspace Projection Attention Network for GPR Heterogeneous Clutter Removal. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
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)
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 (2024)
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) (2024)
Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR (2024)
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)
Jiayu Chen, Bhargav Ganguly, Tian Lan, Vaneet Aggarwal
Variational Offline Multi-agent Skill Discovery. CoRR (2024)
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) (2024)
Zuyuan Zhang, Hanhan Zhou, Mahdi Imani, Taeyoung Lee, Tian Lan
Collaborative AI Teaming in Unknown Environments via Active Goal Deduction. CoRR (2024)
Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang
Towards Efficient Coarse-grained Dialogue Response Selection. ACM Trans. Inf. Syst. 42 (2) (2024)
Tian Lan, Luca Romanello, Mirko Kovac, Sophie F. Armanini, Basaran Bahadir Kocer
Aerial Tensile Perching and Disentangling Mechanism for Long-Term Environmental Monitoring. CoRR (2024)
Tian Lan, Qinwei Lin, Haoqian Wang
Monocular Gaussian SLAM with Language Extended Loop Closure. CoRR (2024)
Yongsheng Mei, Hanhan Zhou, Tian Lan
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning. AAMAS (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. CoRR (2024)
Zuyuan Zhang, Mahdi Imani, Tian Lan
Modeling Other Players with Bayesian Beliefs for Games with Incomplete Information. CoRR (2024)
Jingdi Chen, Tian Lan, Carlee Joe-Wong
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning. AAAI (2024)
Jiangong Chen, Tian Lan, Bin Li
GPT-VR Nexus: ChatGPT-Powered Immersive Virtual Reality Experience. VR Workshops (2024)
Piao Tong, Zhipeng Zhang, Qiao Liu, Xujiang Liu, Xu Luo, Huhao Ran, Tian Lan
Interpretable prediction model for decoupling hot rough rolling camber-process parameters. Expert Syst. Appl. 256 (2024)
Tian Lan, Xi Luo, Xiaopeng Yang, Junbo Gong, Xinjue Li, Xiaodong Qu
A Constrained Diffusion Model for Deep GPR Image Enhancement. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang
XTraffic: A Dataset Where Traffic Meets Incidents with Explainability and More. CoRR (2024)
Xiaopeng Yang, Haoran Sun, Conglong Guo, Yixuan Li, Junbo Gong, Xiaodong Qu, Tian Lan
Layered Media Parameter Inversion Method Based on Deconvolution Autoencoder and Self-Attention Mechanism Using GPR Data. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Zeyu Fang, Tian Lan
Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models. CoRR (2024)
Yongsheng Mei, Mahdi Imani, Tian Lan
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data. ICLR (2024)
Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR (2024)
Yueshan Chen, Xingyu Xu, Tian Lan, Sihai Zhang
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market. Big Data Res. 35 (2024)
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR (2024)
Tian-Yi Che, Xian-Ling Mao, Tian Lan, Heyan Huang
A Hierarchical Context Augmentation Method to Improve Retrieval-Augmented LLMs on Scientific Papers. KDD (2024)
Tian Lan, Zhiwei Wu, Chenzhen Sun, Donglin Cheng, Xing Shi, Guangjun Zeng, Hong Zhang, Qian Peng
Assessing the Suitability of Fractal Dimension for Measuring Graphic Complexity Change in Schematic Metro Networks. ISPRS Int. J. Geo Inf. 13 (2) (2024)
Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. CoRR (2023)
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 (2023)
Mengyu Qiu, Yi Guo, Mingguang Zhang, Jingwei Zhang, Tian Lan, Zhilin Liu
Simulating Human Visual System Based on Vision Transformer. SUI (2023)
Jingdi Chen, Hanhan Zhou, Yongsheng Mei, Gina C. Adam, Nathaniel D. Bastian, Tian Lan
Real-time Network Intrusion Detection via Decision Transformers. CoRR (2023)
Tian Lan, Deng Cai, Yan Wang, Heyan Huang, Xian-Ling Mao
Copy Is All You Need. CoRR (2023)
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
Learning Multiagent Options for Tabular Reinforcement Learning using Factor Graphs. IEEE Trans. Artif. Intell. 4 (5) (2023)
Jingdi Chen, Tian Lan
Minimizing Return Gaps with Discrete Communications in Decentralized POMDP. CoRR (2023)
Meiling Fan, Tian Lan, Leiyang Cheng, Gang Li, Ling Lin
Modulation and demodulation with quadrature square waves as carriers to improve spectrum utilization. Digit. Signal Process. 140 (2023)
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) (2023)
Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective. CoRR (2023)
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)
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) (2023)
Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal
Scalable Multi-agent Skill Discovery based on Kronecker Graphs. CoRR (2023)
Guangfeng Yan, Tan Li, Tian Lan, Kui Wu, Linqi Song
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning. CoRR (2023)
Sultan Alamro, Tian Lan, Suresh Subramaniam
Forseti: Dynamic chunk-level reshaping for data processing on heterogeneous clusters. J. Parallel Distributed Comput. 171 (2023)
Meiling Fan, Tian Lan, Gang Li, Ling Lin
Suppression of Odd Harmonic Interference in a Fast Digital Lock-in Amplifier Based on Square Wave Signal. IEEE Trans. Instrum. Meas. 72 (2023)
Komal Krishnamurthy, Omar Ghazal, Tian Lan, Fei Xia, Alex Yakovlev, Rishad A. Shafik
Variable Duty Cycle Pulse Generation for Low Complexity Randomization in Machine Learning. NEWCAS (2023)
Xinyu Gong, Tian Lan, Peng Ti
Metric and Color Modifications for the Automated Construction of Map Symbols. ISPRS Int. J. Geo Inf. 12 (8) (2023)
Jiayu Chen, Tian Lan, Vaneet Aggarwal
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control. ICRA (2023)
Wenxin Tai, Tian Lan, Zufeng Wu, Pengyu Wang, Yixiang Wang, Fan Zhou
Improving session-based recommendation with contrastive learning. User Model. User Adapt. Interact. 33 (1) (2023)
Jicheng Wang, Xin Yan, Li Shen, Tian Lan, Xunqiang Gong, Zhilin Li
Scale-Invariant Multi-Level Context Aggregation Network for Weakly Supervised Building Extraction. Remote. Sens. 15 (5) (2023)
Yao Liu, Lu Liu, Qiao Liu, Tian Lan, Xiaoyu Bai, Le Zhou
Unsupervised Mobile User Behavior Detection Based on Siamese Neural Networks. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2023)
Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. ICML (2023)
Ying Feng, Chongbin Li, Tian Lan
Load-Dependent Generalized Prandtl-Ishlinskii Model for Nonlinear Dynamic Characteristics of Magnetic Shape Memory Alloy Actuator. ICDL (2023)
Omar Ghazal, Gang Mao, Tian Lan, Jesse Ojukwu, Fei Xia, Alex Yakovlev, Rishad A. Shafik
Asynchronous Control for Tsetlin Machine with Binary Memristor-Transistor Array. ISCAS (2023)
Jiayu Chen, Vaneet Aggarwal, Tian Lan
A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process. NeurIPS (2023)
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 (2023)
Kailash Gogineni, Yongsheng Mei, Tian Lan, Peng Wei, Guru Venkataramani
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-Aware Prioritization. ASAP (2023)
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 (2023)
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)
Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su
Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective. NeurIPS (2023)
Yueshan Chen, Xingyu Xu, Tian Lan, Sihai Zhang
The Predictability of Stock Price: Empirical Study onTick Data in Chinese Stock Market. CoRR (2023)
Nanli Zhu, Lina Xiong, Tian Lan
Heterogeneous Reactions of Investors to Social Media Discourse : Evidence from Eastmoney in China. BDEIM (2023)
Yao Liu, Le Zhou, Qiao Liu, Tian Lan, Xiaoyu Bai, Tinghao Zhou
Semi-supervised Few-shot Network Intrusion Detection based on Meta-learning. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2023)
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. AAMAS (2023)
Zhipeng Li, Tian Lan, Zhilin Li, Peichao Gao
Exploring Relationships between Boltzmann Entropy of Images and Building Classification Accuracy in Land Cover Mapping. Entropy 25 (8) (2023)
Jia-Nan Guo, Xian-Ling Mao, Tian Lan, Rongxin Tu, Wei Wei, Heyan Huang
LASH: Large-Scale Academic Deep Semantic Hashing. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Yixuan Su, Tian Lan, Huayang Li, Jialu Xu, Yan Wang, Deng Cai
PandaGPT: One Model To Instruction-Follow Them All. CoRR (2023)
Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal
Multi-task Hierarchical Adversarial Inverse Reinforcement Learning. CoRR (2023)
Jiayu Chen, Tian Lan, Vaneet Aggarwal
Hierarchical Deep Counterfactual Regret Minimization. CoRR (2023)
Tian Lan, Deng Cai, Yan Wang, Heyan Huang, Xian-Ling Mao
Copy is All You Need. ICLR (2023)
Kailash Gogineni, Yongsheng Mei, Peng Wei, Tian Lan, Guru Venkataramani
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization. CoRR (2023)
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 (2023)
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)
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24 (2023)
Hanhan Zhou, Tian Lan, Vaneet Aggarwal
Statistically Efficient Variance Reduction with Double Policy Estimation for Off-Policy Evaluation in Sequence-Modeled Reinforcement Learning. CoRR (2023)
Weicheng Gao, Xiaopeng Yang, Xiaodong Qu, Tian Lan
TWR-MCAE: A Data Augmentation Method for Through-the-Wall Radar Human Motion Recognition. CoRR (2023)
Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, Congcong Li
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. CoRR (2023)
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) (2023)
Yi Zhao, Xiaopeng Yang, Xiaodong Qu, Tian Lan, Junbo Gong
Clutter Removal Method for GPR Based on Low-Rank and Sparse Decomposition With Total Variation Regularization. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
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) (2023)
Yongsheng Mei, Guru Venkataramani, Tian Lan
Exploiting Partial Common Information Microstructure for Multi-modal Brain Tumor Segmentation. ML4MHD (2023)
Tian Lan, Ziyue Li, Zhishuai Li, Lei Bai, Man Li, Fugee Tsung, Wolfgang Ketter, Rui Zhao, Chen Zhang
MM-DAG: Multi-task DAG Learning for Multi-modal Data - with Application for Traffic Congestion Analysis. KDD (2023)
Kailash Gogineni, Peng Wei, Tian Lan, Guru Venkataramani
Towards Efficient Multi-Agent Learning Systems. CoRR (2023)
Hanhan Zhou, Tian Lan, Guru Venkataramani, Wenbo Ding
Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction. CoRR (2023)
Muzhe Guo, Feixu Yu, Tian Lan, Fang Jin
Advantage Actor-Critic with Reasoner: Explaining the Agent's Behavior from an Exploratory Perspective. CoRR (2023)
Qinwei He, Tian Lan, Hui Huang, Yuanliang Lan, Xuefeng Wu
A comparative study of vibration and energy harvesting in two types of HVDC converter modules. iThings/GreenCom/CPSCom/SmartData/Cybermatics (2023)
Yongsheng Mei, Tian Lan, Guru Venkataramani
Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation. CoRR (2023)
Jiachen Li, Xinwei Shi, Feiyu Chen, Jonathan Stroud, Zhishuai Zhang, Tian Lan, Junhua Mao, Jeonhyung Kang, Khaled S. Refaat, Weilong Yang, Eugene Ie, Congcong Li
Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints. ICRA (2023)
Renjie Liu, Xiaopeng Yang, Yixuan Li, Haoran Sun, Xiaodong Qu, Tian Lan
Multilayered Media Parameter Inversion Based on Reflected Trajectory Fitting Method. IEEE Geosci. Remote. Sens. Lett. 20 (2023)
Shuhui Zhang, Changdong Hu, Lianhai Wang, Miodrag J. Mihaljevic, Shujiang Xu, Tian Lan
A Malware Detection Approach Based on Deep Learning and Memory Forensics. Symmetry 15 (3) (2023)
Yongsheng Mei, Tian Lan, Mahdi Imani, Suresh Subramaniam
A Bayesian Optimization Framework for Finding Local Optima in Expensive Multimodal Functions. ECAI (2023)
Yongsheng Mei, Hanhan Zhou, Tian Lan, Guru Venkataramani, Peng Wei
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization. CoRR (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tian Lan