Jie Peng
22 papers · 2024–2026 · 12 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (11) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (12) π§ Keyword Pioneer π Cross-Pollinator (10)
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π
Grand Slam
ποΈ
Keyword Collector
(62)
β‘
Prolific Year
(14)
π
Century Club
(19)
Conferences
ICML (5)
ACL (4)
AAAI (2)
JMLR (2)
NAACL (2)
AISTATS (1)
EACL (1)
ECCV (1)
EMNLP (1)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(5)
adversarial training
(2)
byzantine attack
(2)
mixture of expert
(2)
model merging
(2)
distributed learning
(2)
multimodal learning
(2)
label poisoning attack
(2)
prompt engineering
(1)
in-context learning
(1)
adversarial robustness
(1)
knowledge graph question answering
(1)
out-of-distribution generalization
(1)
instruction tuning
(1)
uncertainty quantification
(1)
strongly convex optimization
(1)
distributed stochastic optimization
(1)
model unlearning
(1)
adversarial attack
(1)
distribution shift
(1)
Papers
Vulnerability-Aware Robust Multimodal Adversarial Training
AAAI 2026
Dialogue is Better Than Monologue: Instructing Meidcal LLMs via Strategic Conversations
EACL 2026
Reasoning with Ontology Graph: Toward Type-Constrained Knowledge Graph Question Answering
ACL 2026
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models
ACL 2025
Glider: Global and Local Instruction-Driven Expert Router
EMNLP 2025
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics
ICLR 2025
EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph
ICML 2025
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference
ICML 2025
Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing
ICML 2025
Tuning-Free Accountable Intervention for LLM Deployment β a Metacognitive Approach
AAAI 2025
UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging
ACL 2025
$\textttI$^2$MoE$: Interpretable Multimodal Interaction-aware Mixture-of-Experts
ICML 2025
Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data
JMLR 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design
NAACL 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense
NAACL 2025
Circumventing Backdoor Space via Weight Symmetry
ICML 2025
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts
NIPS 2024
Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network
ECCV 2024
Enhancing Distributional Stability among Sub-populations
AISTATS 2024
Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks
IJCAI 2024
Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs
ACL 2024