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Yuandong Tian

83 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (95) 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐺 Lone Wolf (4) 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (10) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (10) ❓ The Questioner (2) πŸ—ƒοΈ Keyword Collector (267) πŸ’Ž Century Club (83) πŸ”₯ Unstoppable (9)

Conferences

ICML (23) ICLR (22) NIPS (18) CVPR (6) EMNLP (6) AAAI (2) ACL (2) AISTATS (2) ICCV (2)

Top co-authors

Beidi Chen (10) Xinyun Chen (7) Kevin Yang (6) Taoan Huang (5) Zechun Liu (5) Bistra Dilkina (5) Arman Zharmagambetov (5) Linnan Wang (5) Tianjun Zhang (5) Xinlei Chen (5)

Keywords

neural architecture search (7) representation learning (6) model compression (5) efficient computing (4) reinforcement learning (4) combinatorial optimization (4) neural network (4) gradient descent (3) large language model (3) monte carlo tree search (3) transfer learning (3) contrastive learning (3) neural network optimization (2) stochastic gradient descent (2) natural language understanding (2) deep reinforcement learning (2) policy learning (2) hyperparameter optimization (2) scene understanding (2) in-context learning (2)

Papers

Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge EMNLP 2025
Agent-as-a-Judge: Evaluate Agents with Agents ICML 2025
GSM-$∞$: How Do your LLMs Behave over Infinitely Increasing Reasoning Complexity and Context Length? ICML 2025
Token Assorted: Mixing Latent and Text Tokens for Improved Language Model Reasoning ICML 2025
AdvPrompter: Fast Adaptive Adversarial Prompting for LLMs ICML 2025
From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications ICML 2025
SpinQuant: LLM Quantization with Learned Rotations ICLR 2025
Towards General-Purpose Model-Free Reinforcement Learning ICLR 2025
MagicPIG: LSH Sampling for Efficient LLM Generation ICLR 2025
Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning Traces ICLR 2025
Sail into the Headwind: Alignment via Robust Rewards and Dynamic Labels against Reward Hacking ICLR 2025
Param$\Delta$ for Direct Mixing: Post-Train Large Language Model At Zero Cost ICLR 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference ICLR 2025
Step-KTO: Optimizing Mathematical Reasoning through Stepwise Binary Feedback EMNLP 2025
You Only Use Reactive Attention Slice When Retrieving From Long Context EMNLP 2025
LoCoCo: Dropping In Convolutions for Long Context Compression ICML 2024
Towards a Theoretical Understanding of the 'Reversal Curse' via Training Dynamics NIPS 2024
On the Surprising Effectiveness of Attention Transfer for Vision Transformers NIPS 2024
Learning Personalized Alignment for Evaluating Open-ended Text Generation EMNLP 2024
To the Globe (TTG): Towards Language-Driven Guaranteed Travel Planning EMNLP 2024
H-GAP: Humanoid Control with a Generalist Planner ICLR 2024
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention ICLR 2024
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment ICLR 2024
Efficient Streaming Language Models with Attention Sinks ICLR 2024
GenCO: Generating Diverse Designs with Combinatorial Constraints ICML 2024
Contrastive Predict-and-Search for Mixed Integer Linear Programs ICML 2024
MobileLLM: Optimizing Sub-billion Parameter Language Models for On-Device Use Cases ICML 2024
TravelPlanner: A Benchmark for Real-World Planning with Language Agents ICML 2024
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection ICML 2024
Searching Large Neighborhoods for Integer Linear Programs with Contrastive Learning ICML 2023
SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems ICML 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models NIPS 2023
Landscape Surrogate: Learning Decision Losses for Mathematical Optimization Under Partial Information NIPS 2023
DOC: Improving Long Story Coherence With Detailed Outline Control ACL 2023
Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer NIPS 2023
MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection ICLR 2023
Efficient Planning in a Compact Latent Action Space ICLR 2023
Understanding the Role of Nonlinearity in Training Dynamics of Contrastive Learning ICLR 2023
Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction ICML 2023
DreamShard: Generalizable Embedding Table Placement for Recommender Systems NIPS 2022
Re3: Generating Longer Stories With Recursive Reprompting and Revision EMNLP 2022
On the Importance of Asymmetry for Siamese Representation Learning CVPR 2022
Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022
Learning Bounded Context-Free-Grammar via LSTM and the Transformer: Difference and the Explanations AAAI 2022
Denoised MDPs: Learning World Models Better Than the World Itself ICML 2022
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training ICLR 2022
Multi-objective Optimization by Learning Space Partition ICLR 2022
Understanding Dimensional Collapse in Contrastive Self-supervised Learning ICLR 2022
Understanding Deep Contrastive Learning via Coordinate-wise Optimization NIPS 2022
FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining CVPR 2021
NovelD: A Simple yet Effective Exploration Criterion NIPS 2021
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages NIPS 2021
MADE: Exploration via Maximizing Deviation from Explored Regions NIPS 2021
Learning Space Partitions for Path Planning NIPS 2021
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing ICML 2021
Understanding self-supervised learning dynamics without contrastive pairs ICML 2021
Few-Shot Neural Architecture Search ICML 2021
Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021
FP-NAS: Fast Probabilistic Neural Architecture Search CVPR 2021
Student Specialization in Deep Rectified Networks With Finite Width and Input Dimension ICML 2020
Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search NIPS 2020
Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search AAAI 2020
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions CVPR 2020
Playing the lottery with rewards and multiple languages: lottery tickets in RL and NLP ICLR 2020
Deep Symbolic Superoptimization Without Human Knowledge ICLR 2020
Joint Policy Search for Multi-agent Collaboration with Imperfect Information NIPS 2020
Learning to Perform Local Rewriting for Combinatorial Optimization NIPS 2019
Coda: An End-to-End Neural Program Decompiler NIPS 2019
One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers NIPS 2019
Hierarchical Decision Making by Generating and Following Natural Language Instructions NIPS 2019
CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication ACL 2019
ELF OpenGo: an analysis and open reimplementation of AlphaZero ICML 2019
FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search CVPR 2019
M^3RL: Mind-aware Multi-agent Management Reinforcement Learning ICLR 2019
Algorithmic Framework for Model-based Deep Reinforcement Learning with Theoretical Guarantees ICLR 2019
Bayesian Relational Memory for Semantic Visual Navigation ICCV 2019
When is a Convolutional Filter Easy to Learn? ICLR 2018
Gradient Descent Learns One-hidden-layer CNN: Don’t be Afraid of Spurious Local Minima ICML 2018
ELF: An Extensive, Lightweight and Flexible Research Platform for Real-time Strategy Games NIPS 2017
An Analytical Formula of Population Gradient for two-layered ReLU network and its Applications in Convergence and Critical Point Analysis ICML 2017
Semantic Amodal Segmentation CVPR 2017
Hierarchical Data-Driven Descent for Efficient Optimal Deformation Estimation ICCV 2013