Yuandong Tian
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
89
Venues
18
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
89 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | You Only Use Reactive Attention Slice When Retrieving From Long Context. | Yun Joon Soh, Hanxian Huang, Yuandong Tian, Jishen Zhao |
| 2025 | EMNLP | Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge. | Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason E. Weston, Sainbayar Sukhbaatar |
| 2025 | ICLR | R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference. | Zhenyu Zhang, Zechun Liu, Yuandong Tian, Harshit Khaitan, Zhangyang Wang, Steven Li |
| 2025 | ICLR | ParamΔ for Direct Mixing: Post-Train Large Language Model At Zero Cost. | Sheng Cao, Mingrui Wu, Karthik Prasad, Yuandong Tian, Zechun Liu |
| 2025 | ICLR | MagicPIG: LSH Sampling for Efficient LLM Generation. | Zhuoming Chen, Ranajoy Sadhukhan, Zihao Ye, Yang Zhou, Jianyu Zhang, Niklas Nolte, Yuandong Tian, Matthijs Douze, Lon Bottou, Zhihao Jia, Beidi Chen |
| 2025 | ICLR | Towards General-Purpose Model-Free Reinforcement Learning. | Scott Fujimoto, Pierluca D'Oro, Amy Zhang, Yuandong Tian, Michael Rabbat |
| 2025 | ICLR | SpinQuant: LLM Quantization with Learned Rotations. | Zechun Liu, Changsheng Zhao, Igor Fedorov, Bilge Soran, Dhruv Choudhary, Raghuraman Krishnamoorthi, Vikas Chandra, Yuandong Tian, Tijmen Blankevoort |
| 2025 | ICLR | Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking. | Paria Rashidinejad, Yuandong Tian |
| 2025 | ICLR | Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces. | DiJia Su, Sainbayar Sukhbaatar, Michael Rabbat, Yuandong Tian, Qinqing Zheng |
| 2025 | ICML | From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications. | Ajay Kumar Jaiswal, Yifan Wang, Lu Yin, Shiwei Liu, Runjin Chen, Jiawei Zhao, Ananth Grama, Yuandong Tian, Zhangyang Wang |
| 2025 | ICML | AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs. | Anselm Paulus, Arman Zharmagambetov, Chuan Guo, Brandon Amos, Yuandong Tian |
| 2025 | ICML | Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning. | DiJia Su, Hanlin Zhu, Yingchen Xu, Jiantao Jiao, Yuandong Tian, Qinqing Zheng |
| 2025 | ICML | GSM-∞: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length? | Yang Zhou, Hongyi Liu, Zhuoming Chen, Yuandong Tian, Beidi Chen |
| 2025 | ICML | Agent-as-a-Judge: Evaluate Agents with Agents. | Mingchen Zhuge, Changsheng Zhao, Dylan R. Ashley, Wenyi Wang, Dmitrii Khizbullin, Yunyang Xiong, Zechun Liu, Ernie Chang, Raghuraman Krishnamoorthi, Yuandong Tian, Yangyang Shi, Vikas Chandra, Jrgen Schmidhuber |
| 2024 | EMNLP | To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning. | Da Ju, Song Jiang, Andrew Cohen, Aaron Foss, Sasha Mitts, Arman Zharmagambetov, Brandon Amos, Xian Li, Justine T. Kao, Maryam Fazel-Zarandi, Yuandong Tian |
| 2024 | EMNLP | Learning Personalized Alignment for Evaluating Open-ended Text Generation. | Danqing Wang, Kevin Yang, Hanlin Zhu, Xiaomeng Yang, Andrew Cohen, Lei Li, Yuandong Tian |
| 2024 | ICLR | H-GAP: Humanoid Control with a Generalist Planner. | Zhengyao Jiang, Yingchen Xu, Nolan Wagener, Yicheng Luo, Michael Janner, Edward Grefenstette, Tim Rocktschel, Yuandong Tian |
| 2024 | ICLR | JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention. | Yuandong Tian, Yiping Wang, Zhenyu Zhang, Beidi Chen, Simon Shaolei Du |
| 2024 | ICLR | Efficient Streaming Language Models with Attention Sinks. | Guangxuan Xiao, Yuandong Tian, Beidi Chen, Song Han, Mike Lewis |
| 2024 | ICLR | RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. | Kevin Yang, Dan Klein, Asli Celikyilmaz, Nanyun Peng, Yuandong Tian |
| 2024 | ICML | LoCoCo: Dropping In Convolutions for Long Context Compression. | Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen |
| 2024 | ICML | GenCO: Generating Diverse Designs with Combinatorial Constraints. | Aaron M. Ferber, Arman Zharmagambetov, Taoan Huang, Bistra Dilkina, Yuandong Tian |
| 2024 | ICML | Contrastive Predict-and-Search for Mixed Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Arman Zharmagambetov, Yuandong Tian, Bistra Dilkina |
| 2024 | ICML | MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. | Zechun Liu, Changsheng Zhao, Forrest N. Iandola, Chen Lai, Yuandong Tian, Igor Fedorov, Yunyang Xiong, Ernie Chang, Yangyang Shi, Raghuraman Krishnamoorthi, Liangzhen Lai, Vikas Chandra |
| 2024 | ICML | TravelPlanner: A Benchmark for Real-World Planning with Language Agents. | Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su |
| 2024 | ICML | GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection. | Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian |
| 2023 | ACL | DOC: Improving Long Story Coherence With Detailed Outline Control. | Kevin Yang, Dan Klein, Nanyun Peng, Yuandong Tian |
| 2023 | CPAIOR | Local Branching Relaxation Heuristics for Integer Linear Programs. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | HPCA | AutoCAT: Reinforcement Learning for Automated Exploration of Cache-Timing Attacks. | Mulong Luo, Wenjie Xiong, Geunbae Lee, Yueying Li, Xiaomeng Yang, Amy Zhang, Yuandong Tian, Hsien-Hsin S. Lee, G. Edward Suh |
| 2023 | ICLR | MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection. | Jiaxun Cui, Xiaomeng Yang, Mulong Luo, Geunbae Lee, Peter Stone, Hsien-Hsin S. Lee, Benjamin Lee, G. Edward Suh, Wenjie Xiong, Yuandong Tian |
| 2023 | ICLR | Efficient Planning in a Compact Latent Action Space. | Zhengyao Jiang, Tianjun Zhang, Michael Janner, Yueying Li, Tim Rocktschel, Edward Grefenstette, Yuandong Tian |
| 2023 | ICLR | Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning. | Yuandong Tian |
| 2023 | ICML | SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems. | Aaron M. Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian |
| 2023 | ICML | Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning. | Taoan Huang, Aaron M. Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner |
| 2023 | ICML | Learning Compiler Pass Orders using Coreset and Normalized Value Prediction. | Youwei Liang, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, Jiadong Guo, Benoit Steiner, Xiaomeng Yang, Pengtao Xie, Hugh James Leather, Yuandong Tian |
| 2023 | ICML | Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time. | Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher R, Beidi Chen |
| 2023 | SIGCOMM | Klotski: Efficient and Safe Network Migration of Large Production Datacenters. | Yihao Zhao, Xiaoxiang Zhang, Hang Zhu, Ying Zhang, Zhaodong Wang, Yuandong Tian, Alex Nikulkov, Joao Ferreira, Xuanzhe Liu, Xin Jin |
| 2023 | SDM | DyFormer : A Scalable Dynamic Graph Transformer with Provable Benefits on Generalization Ability. | Weilin Cong, Yanhong Wu, Yuandong Tian, Mengting Gu, Yinglong Xia, Chun-cheng Jason Chen, Mehrdad Mahdavi |
| 2022 | AAAI | Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations. | Hui Shi, Sicun Gao, Yuandong Tian, Xinyun Chen, Jishen Zhao |
| 2022 | AISTATS | Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games. | Yulai Zhao, Yuandong Tian, Jason D. Lee, Simon S. Du |
| 2022 | CGO | CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research. | Chris Cummins, Bram Wasti, Jiadong Guo, Brandon Cui, Jason Ansel, Sahir Gomez, Somya Jain, Jia Liu, Olivier Teytaud, Benoit Steiner, Yuandong Tian, Hugh Leather |
| 2022 | CVPR | On the Importance of Asymmetry for Siamese Representation Learning. | Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen |
| 2022 | EMNLP | Re3: Generating Longer Stories With Recursive Reprompting and Revision. | Kevin Yang, Yuandong Tian, Nanyun Peng, Dan Klein |
| 2022 | ICLR | NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. | Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra |
| 2022 | ICLR | Understanding Dimensional Collapse in Contrastive Self-supervised Learning. | Li Jing, Pascal Vincent, Yann LeCun, Yuandong Tian |
| 2022 | ICLR | Multi-objective Optimization by Learning Space Partition. | Yiyang Zhao, Linnan Wang, Kevin Yang, Tianjun Zhang, Tian Guo, Yuandong Tian |
| 2022 | ICML | Denoised MDPs: Learning World Models Better Than the World Itself. | Tongzhou Wang, Simon S. Du, Antonio Torralba, Phillip Isola, Amy Zhang, Yuandong Tian |
| 2022 | KDD | AutoShard: Automated Embedding Table Sharding for Recommender Systems. | Daochen Zha, Louis Feng, Bhargav Bhushanam, Dhruv Choudhary, Jade Nie, Yuandong Tian, Jay Chae, Yinbin Ma, Arun Kejariwal, Xia Hu |
| 2021 | AISTATS | Understanding Robustness in Teacher-Student Setting: A New Perspective. | Zhuolin Yang, Zhaoxi Chen, Tiffany Cai, Xinyun Chen, Bo Li, Yuandong Tian |
| 2021 | CVPR | FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. | Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez |
| 2021 | CVPR | FP-NAS: Fast Probabilistic Neural Architecture Search. | Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli |
| 2021 | ICML | Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing. | Cheng Fu, Hanxian Huang, Xinyun Chen, Yuandong Tian, Jishen Zhao |
| 2021 | ICML | Understanding self-supervised learning dynamics without contrastive pairs. | Yuandong Tian, Xinlei Chen, Surya Ganguli |
| 2021 | ICML | Few-Shot Neural Architecture Search. | Yiyang Zhao, Linnan Wang, Yuandong Tian, Rodrigo Fonseca, Tian Guo |
| 2021 | SIGCOMM | Network planning with deep reinforcement learning. | Hang Zhu, Varun Gupta, Satyajeet Singh Ahuja, Yuandong Tian, Ying Zhang, Xin Jin |
| 2020 | AAAI | Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search. | Linnan Wang, Yiyang Zhao, Yuu Jinnai, Yuandong Tian, Rodrigo Fonseca |
| 2020 | CVPR | FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions. | Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian, Saining Xie, Bichen Wu, Matthew Yu, Tao Xu, Kan Chen, Peter Vajda, Joseph E. Gonzalez |
| 2020 | ICLR | Deep Symbolic Superoptimization Without Human Knowledge. | Hui Shi, Yang Zhang, Xinyun Chen, Yuandong Tian, Jishen Zhao |
| 2020 | ICLR | Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP. | Haonan Yu, Sergey Edunov, Yuandong Tian, Ari S. Morcos |
| 2020 | ICML | Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension. | Yuandong Tian |
| 2020 | KDD | Towards Automated Neural Interaction Discovery for Click-Through Rate Prediction. | Qingquan Song, Dehua Cheng, Hanning Zhou, Jiyan Yang, Yuandong Tian, Xia Hu |
| 2019 | ACL | CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. | Jin-Hwa Kim, Nikita Kitaev, Xinlei Chen, Marcus Rohrbach, Byoung-Tak Zhang, Yuandong Tian, Dhruv Batra, Devi Parikh |
| 2019 | CVPR | FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search. | Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer |
| 2019 | ICCV | Bayesian Relational Memory for Semantic Visual Navigation. | Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, Yuandong Tian |
| 2019 | ICLR | Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees. | Yuping Luo, Huazhe Xu, Yuanzhi Li, Yuandong Tian, Trevor Darrell, Tengyu Ma |
| 2019 | ICLR | M^3RL: Mind-aware Multi-agent Management Reinforcement Learning. | Tianmin Shu, Yuandong Tian |
| 2019 | ICML | ELF OpenGo: an analysis and open reimplementation of AlphaZero. | Yuandong Tian, Jerry Ma, Qucheng Gong, Shubho Sengupta, Zhuoyuan Chen, James Pinkerton, Larry Zitnick |
| 2018 | ICLR | When is a Convolutional Filter Easy to Learn? | Simon S. Du, Jason D. Lee, Yuandong Tian |
| 2018 | ICLR | Building Generalizable Agents with a Realistic and Rich 3D Environment. | Yi Wu, Yuxin Wu, Georgia Gkioxari, Yuandong Tian |
| 2018 | ICML | Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima. | Simon S. Du, Jason D. Lee, Yuandong Tian, Aarti Singh, Barnabs Pczos |
| 2018 | WACV | Channel-Recurrent Autoencoding for Image Modeling. | Wenling Shang, Kihyuk Sohn, Yuandong Tian |
| 2017 | CVPR | Semantic Amodal Segmentation. | Yan Zhu, Yuandong Tian, Dimitris N. Metaxas, Piotr Dollr |
| 2017 | ICLR | Symmetry-Breaking Convergence Analysis of Certain Two-layered Neural Networks with ReLU nonlinearity. | Yuandong Tian |
| 2017 | ICLR | Training Agent for First-Person Shooter Game with Actor-Critic Curriculum Learning. | Yuxin Wu, Yuandong Tian |
| 2017 | ICML | An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis. | Yuandong Tian |
| 2016 | ECCV | Single Image 3D Interpreter Network. | Jiajun Wu, Tianfan Xue, Joseph J. Lim, Yuandong Tian, Joshua B. Tenenbaum, Antonio Torralba, William T. Freeman |
| 2013 | AIED | Integrating Perceptual Learning with External World Knowledge in a Simulated Student. | Nan Li, Yuandong Tian, William W. Cohen, Kenneth R. Koedinger |
| 2013 | ICCV | Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation. | Yuandong Tian, Srinivasa G. Narasimhan |
| 2012 | CVPR | Depth from optical turbulence. | Yuandong Tian, Srinivasa G. Narasimhan, Alan Van Nevel |
| 2012 | ECCV | Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation. | Yuandong Tian, C. Lawrence Zitnick, Srinivasa G. Narasimhan |
| 2012 | KDD | Learning from crowds in the presence of schools of thought. | Yuandong Tian, Jun Zhu |
| 2011 | CVPR | Local isomorphism to solve the pre-image problem in kernel methods. | Dong Huang, Yuandong Tian, Fernando De la Torre |
| 2011 | CVPR | Rectification and 3D reconstruction of curved document images. | Yuandong Tian, Srinivasa G. Narasimhan |
| 2010 | CVPR | A globally optimal data-driven approach for image distortion estimation. | Yuandong Tian, Srinivasa G. Narasimhan |
| 2009 | CVPR | (De) focusing on global light transport for active scene recovery. | Mohit Gupta, Yuandong Tian, Srinivasa G. Narasimhan, Li Zhang |
| 2009 | ICCV | Seeing through water: Image restoration using model-based tracking. | Yuandong Tian, Srinivasa G. Narasimhan |
| 2007 | CHI | EasyAlbum: an interactive photo annotation system based on face clustering and re-ranking. | Jingyu Cui, Fang Wen, Rong Xiao, Yuandong Tian, Xiaoou Tang |
| 2007 | CVPR | A Face Annotation Framework with Partial Clustering and Interactive Labeling. | Yuandong Tian, Wei Liu, Rong Xiao, Fang Wen, Xiaoou Tang |
| 2006 | CVPR | Joint Boosting Feature Selection for Robust Face Recognition. | Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang |