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Jie Peng

23 papers · 2024–2026 · 13 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (50) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot Β· Gold 🀝 Dynamic Duo (15)
πŸ† Grand Slam 🌈 Renaissance Researcher (8) ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (108)

Venues

ICML (5) ACL (4) AAAI (2) JMLR (2) NAACL (2) AISTATS (1) CVPR (1) EACL (1) ECCV (1) EMNLP (1) ICLR (1) IJCAI (1) NeurIPS (1)

Top co-authors

Tianlong Chen (15) Sukwon Yun (5) Jiayi Xin (3) Xinyu Zhao (3) Pingzhi Li (3) Qi Long (3) Qing Ling (3) Mufan Qiu (3) Yanyong Zhang (2) Mohan Zhang (2)

Research topics

Artificial Intelligence (16) Machine Learning (15) Core AI (15) Deep Learning (10) Application Areas (6) Learning Types Β· Deep Learning (6) Architectures (5) Core Methods (5) Learning Types Β· Machine Learning (5) Optimization & Theory (3) Knowledge & Reasoning (2) Natural Language Processing (2) Models (2) Computer Science (1) Data Science & Analytics (1)

Keywords

large language model (5) multimodal learning (3) adversarial training (2) mixture-of-experts (2) reinforcement learning (2) distributed learning (2) byzantine attack (2) mixture of expert (2) label poisoning attack (2) multimodal large language model (2) model merging (2) self-supervised learning (1) knowledge graph question answering (1) incremental learning (1) model unlearning (1) uncertainty quantification (1) catastrophic forgetting (1) out-of-distribution generalization (1) prompt engineering (1) domain generalization (1)

Papers

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 Understanding the Role of Hallucination in Reinforcement Post-Training of Multimodal Reasoning Models CVPR 2026 Vulnerability-Aware Robust Multimodal Adversarial Training AAAI 2026 I^2MoE: Interpretable Multimodal Interaction-aware Mixture-of-Experts ICML 2025 Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design NAACL 2025 Circumventing Backdoor Space via Weight Symmetry ICML 2025 EmoGrowth: Incremental Multi-label Emotion Decoding with Augmented Emotional Relation Graph ICML 2025 Glider: Global and Local Instruction-Driven Expert Router EMNLP 2025 GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models ACL 2025 Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense NAACL 2025 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 Modalities Contribute Unequally: Enhancing Medical Multi-modal Learning through Adaptive Modality Token Re-balancing ICML 2025 Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference ICML 2025 Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity JMLR 2025 TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics ICLR 2025 Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 2025 UQ-Merge: Uncertainty Guided Multimodal Large Language Model Merging ACL 2025 Enhancing Distributional Stability among Sub-populations AISTATS 2024 Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts NeurIPS 2024 Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024 Mew: Multiplexed Immunofluorescence Image Analysis through an Efficient Multiplex Network ECCV 2024 Reinforcement Learning-Driven LLM Agent for Automated Attacks on LLMs ACL 2024