Tianren Zhang
9 papers · 2019–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π Grand Slam
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Research topics
Keywords
large language model
(2)
self-supervised learning
(2)
reinforcement learning
(1)
sample efficiency
(1)
transfer learning
(1)
scene understanding
(1)
multimodal learning
(1)
latent variable
(1)
hierarchical reinforcement learning
(1)
neuromorphic hardware
(1)
distribution shift
(1)
generalization ability
(1)
partial observability
(1)
partially observable
(1)
spiking neural network
(1)
stochastic gradient descent
(1)
causal effect
(1)
deep metric learning
(1)
vision-language model
(1)
representation learning
(1)
Papers
Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them
EMNLP 2025
KRR: Efficient and Scalable Kernel Record Replay
OSDI 2025
OURO: A Self-Bootstrapped Framework for Enhancing Multimodal Scene Understanding
ICCV 2025
When do neural networks learn world models?
ICML 2025
Feature Contamination: Neural Networks Learn Uncorrelated Features and Fail to Generalize
ICML 2024
Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers
ICLR 2024
Fast Counterfactual Inference for History-Based Reinforcement Learning
AAAI 2023
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning
NeurIPS 2020
Deep Meta Metric Learning
ICCV 2019