Haizhou Shi
9 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (8) π Academic Marathon (5) πΊοΈ Taxonomy Completionist (25)
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Interdisciplinary Bridge
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Cross-Pollinator
(8)
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Renaissance Researcher
(7)
π§¬
Topic Evolution
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Unstoppable
(6)
Conferences
NIPS (2)
AAAI (1)
ACL (1)
CVPR (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
contrastive instance learning
(2)
large language model
(2)
multi-instance learning
(2)
noise reduction
(2)
domain adaptation
(1)
bayesian inference
(1)
reinforcement learning
(1)
image retrieval
(1)
bayesian learning
(1)
uncertainty quantification
(1)
model distillation
(1)
relation extraction
(1)
visual navigation
(1)
out-of-distribution generalization
(1)
low-rank adaptation
(1)
parameter estimation
(1)
generalization error bound
(1)
model fine-tuning
(1)
multimodal large language model
(1)
continual learning
(1)
Papers
The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering
ICML 2025
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models
NAACL 2025
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
NIPS 2024
Efficient Tuning and Inference for Large Language Models on Textual Graphs
IJCAI 2024
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm
NIPS 2023
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
AAAI 2022
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
ACL 2021
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction
IJCNLP 2021
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
CVPR 2020