Lan, Tian

51 publications

ICLR 2025 Block-Attention for Efficient Prefilling Dongyang Ma, Yan Wang, Tian Lan

ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

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

ECML-PKDD 2025 Improving Temporal Knowledge Graph Reasoning with Hierarchical Semantic-Aware Contrastive Learning Renning Pang, Yao Liu, Yanglei Gan, Tingting Dai, Yashen Wang, Xiaojun Shi, Tian Lan, Qiao Liu

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

NeurIPS 2025 MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning Sizhe Tang, Jiayu Chen, Tian Lan

AAAI 2025 ScoreNet: Consistency-Driven Framework with Multi-Side Information Fusion for Session-Based Recommendation Piao Tong, Qiao Liu, Zhipeng Zhang, Yuke Wang, Tian Lan

AAAI 2025 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

NeurIPS 2025 TraffiDent: A Dataset for Understanding the Interplay Between Traffic Dynamics and Incidents Xiaochuan Gou, Ziyue Li, Tian Lan, Junpeng Lin, Zhishuai Li, Bingyu Zhao, Chen Zhang, Di Wang, Xiangliang Zhang

IJCAI 2025 Variational Offline Multi-Agent Skill Discovery Jiayu Chen, Tian Lan, Vaneet Aggarwal

NeurIPS 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets 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

ICLR 2024 Bayesian Optimization Through Gaussian Cox Process Models for Spatio-Temporal Data Yongsheng Mei, Mahdi Imani, Tian Lan

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

NeurIPS 2024 CriticEval: Evaluating Large-Scale Language Model as Critic Tian Lan, Wenwei Zhang, Chen Xu, Heyan Huang, Dahua Lin, Kai Chen, Xian-Ling Mao

TMLR 2024 Deep Generative Models for Offline Policy Learning: Tutorial, Survey, and Perspectives on Future Directions Jiayu Chen, Bhargav Ganguly, Yang Xu, Yongsheng Mei, Tian Lan, Vaneet Aggarwal

ACML 2024 Multi-Level Relational Learning with Synergistic Graphs for Multivariate Time Series Forecasting Yang Xie, Qiao Liu, Rui Hou, Tingting Dai, Tian Lan

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

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

ICLRW 2024 Text2Data: Low-Resource Data Generation with Textual Control Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2024 The Agent Ohana: Designing Unified Data and Training Pipeline for Effective Agent Learning Jianguo Zhang, Tian Lan, R N Rithesh, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Quoc Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Ming Zhu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong

NeurIPS 2023 A Unified Algorithm Framework for Unsupervised Discovery of Skills Based on Determinantal Point Process Jiayu Chen, Vaneet Aggarwal, Tian Lan

ICLR 2023 Copy Is All You Need Tian Lan, Deng Cai, Yan Wang, Heyan Huang, Xian-Ling Mao

NeurIPSW 2023 Double Policy Estimation for Importance Sampling in Sequence Modeling-Based Reinforcement Learning Hanhan Zhou, Tian Lan, Vaneet Aggarwal

NeurIPS 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series 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, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

ICML 2023 Multi-Task Hierarchical Adversarial Inverse Reinforcement Learning Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal

NeurIPS 2023 Repetition in Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su

NeurIPS 2022 A Contrastive Framework for Neural Text Generation Yixuan Su, Tian Lan, Yan Wang, Dani Yogatama, Lingpeng Kong, Nigel Collier

CVPR 2022 Efficient Video Instance Segmentation via Tracklet Query and Proposal Jialian Wu, Sudhir Yarram, Hui Liang, Tian Lan, Junsong Yuan, Jayan Eledath, Gérard Medioni

NeurIPSW 2022 Federated Learning with Online Adaptive Heterogeneous Local Models Hanhan Zhou, Tian Lan, Guru Prasadh Venkataramani, Wenbo Ding

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

NeurIPS 2022 Scalable Multi-Agent Covering Option Discovery Based on Kronecker Graphs Jiayu Chen, Jingdi Chen, Tian Lan, Vaneet Aggarwal

MLOSS 2022 WarpDrive: Fast End-to-End Deep Multi-Agent Reinforcement Learning on a GPU Tian Lan, Sunil Srinivasa, Huan Wang, Stephan Zheng

ECML-PKDD 2021 CMIX: Deep Multi-Agent Reinforcement Learning with Peak and Average Constraints Chenyi Liu, Nan Geng, Vaneet Aggarwal, Tian Lan, Yuan Yang, Mingwei Xu

ICCVW 2021 MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention Donghyun Kim, Tian Lan, Chuhang Zou, Ning Xu, Bryan A. Plummer, Stan Sclaroff, Jayan Eledath, Gérard G. Medioni

CoRL 2020 TNT: Target-Driven Trajectory Prediction Hang Zhao, Jiyang Gao, Tian Lan, Chen Sun, Ben Sapp, Balakrishnan Varadarajan, Yue Shen, Yi Shen, Yuning Chai, Cordelia Schmid, Congcong Li, Dragomir Anguelov

ICCV 2015 Action Recognition by Hierarchical Mid-Level Action Elements Tian Lan, Yuke Zhu, Amir Roshan Zamir, Silvio Savarese

ECCV 2014 A Hierarchical Representation for Future Action Prediction Tian Lan, Tsung-Chuan Chen, Silvio Savarese

ECCV 2014 Learning Action Primitives for Multi-Level Video Event Understanding Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori

ECCVW 2014 Learning Action Primitives for Multi-Level Video Event Understanding Tian Lan, Lei Chen, Zhiwei Deng, Guang-Tong Zhou, Greg Mori

CVPR 2013 A Max-Margin Riffled Independence Model for Image Tag Ranking Tian Lan, Greg Mori

ICCV 2013 From Subcategories to Visual Composites: A Multi-Level Framework for Object Detection Tian Lan, Michalis Raptis, Leonid Sigal, Greg Mori

NeurIPS 2013 Latent Maximum Margin Clustering Guang-Tong Zhou, Tian Lan, Arash Vahdat, Greg Mori

CVPR 2013 Learning Class-to-Image Distance with Object Matchings Guang-Tong Zhou, Tian Lan, Weilong Yang, Greg Mori

ECCV 2012 Image Retrieval with Structured Object Queries Using Latent Ranking SVM Tian Lan, Weilong Yang, Yang Wang, Greg Mori

ECCV 2012 Similarity Constrained Latent Support Vector Machine: An Application to Weakly Supervised Action Classification Nataliya Shapovalova, Arash Vahdat, Kevin J. Cannons, Tian Lan, Greg Mori

CVPR 2012 Social Roles in Hierarchical Models for Human Activity Recognition Tian Lan, Leonid Sigal, Greg Mori

ICCV 2011 Discriminative Figure-Centric Models for Joint Action Localization and Recognition Tian Lan, Yang Wang, Greg Mori

NeurIPS 2010 Beyond Actions: Discriminative Models for Contextual Group Activities Tian Lan, Yang Wang, Weilong Yang, Greg Mori

ECCV 2010 Retrieving Actions in Group Contexts Tian Lan, Yang Wang, Greg Mori, Stephen N. Robinovitch

ECCVW 2010 Retrieving Actions in Group Contexts Tian Lan, Yang Wang, Greg Mori, Stephen N. Robinovitch