Jiawei Chen
50 papers · 2018–2026 · 16 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (15) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🏃 Academic Marathon (7)
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Interdisciplinary Bridge
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Keyword Pioneer
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Academic Marathon
(7)
🤝
Dynamic Duo
(10)
🏆
Grand Slam
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Century Club
(42)
🔥
Unstoppable
(6)
🚀
Conference Pioneer
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Prolific Year
(12)
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The Questioner
(3)
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Keyword Collector
(204)
Conferences
AAAI (11)
ACL (9)
NIPS (9)
ICML (3)
ACML (2)
COLING (2)
CVPR (2)
EMNLP (2)
ICCV (2)
ICLR (2)
EACL (1)
ECCV (1)
IJCAI (1)
MICCAI (1)
NAACL (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(9)
few-shot learning
(4)
contrastive learning
(4)
representation learning
(3)
named entity recognition
(3)
graph neural network
(3)
retrieval-augmented generation
(2)
recommendation system
(2)
recommender system
(2)
adversarial learning
(2)
distributionally robust optimization
(2)
diffusion model
(2)
causal inference
(2)
pre-trained language model
(2)
domain adaptation
(2)
information retrieval
(2)
transfer learning
(2)
benchmark evaluation
(2)
link prediction
(2)
preference optimization
(2)
Papers
A Game-Theoretica Negotiation Framework for Cross-Cultural Consensus
ACL 2026
ReCreate: Reasoning and Creating Domain Agents Driven by Experience
ACL 2026
CoCoNUTS: Concentrating on Content while Neglecting Uninformative Textual Styles for AI-Generated Peer Review Detection
ACL 2026
Red Teaming Large Reasoning Models
ACL 2026
Navigating the Infinite Dynamic Web Space: Effective In-Context Exploration via Cognitive Multi-Agent Collaboration
EACL 2026
RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models
AAAI 2026
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance
AAAI 2026
Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
ACL 2026
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
ICCV 2025
The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
ICLR 2025
Towards a Unified Framework of Clustering-based Anomaly Detection
ICML 2025
DiTAR: Diffusion Transformer Autoregressive Modeling for Speech Generation
ICML 2025
BloomScene: Lightweight Structured 3D Gaussian Splatting for Crossmodal Scene Generation
AAAI 2025
Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
AAAI 2025
Debiased Multimodal Understanding for Human Language Sequences
AAAI 2025
Root Defense Strategies: Ensuring Safety of LLM at the Decoding Level
ACL 2025
MCCD: Multi-Agent Collaboration-based Compositional Diffusion for Complex Text-to-Image Generation
CVPR 2025
AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs
NAACL 2025
ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
EMNLP 2025
Sounding that Object: Interactive Object-Aware Image to Audio Generation
ICML 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
ICLR 2025
Can LLMs’ Tuning Methods Work in Medical Multimodal Domain?
MICCAI 2024
Large Vision-Language Models as Emotion Recognizers in Context Awareness
ACML 2024
SceneWeaver: Text-Driven Scene Generation with Geometry-aware Gaussian Splatting
ACML 2024
PediatricsGPT: Large Language Models as Chinese Medical Assistants for Pediatric Applications
NIPS 2024
PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
NIPS 2024
Benchmarking Large Language Models in Retrieval-Augmented Generation
AAAI 2024
Few-shot Named Entity Recognition via Superposition Concept Discrimination
COLING 2024
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
COLING 2024
Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment
NIPS 2024
Self-Retrieval: End-to-End Information Retrieval with One Large Language Model
NIPS 2024
Toward Robust Incomplete Multimodal Sentiment Analysis via Hierarchical Representation Learning
NIPS 2024
DMIN: A Discourse-specific Multi-granularity Integration Network for Conversational Aspect-based Sentiment Quadruple Analysis
ACL 2024
Learning In-context Learning for Named Entity Recognition
ACL 2023
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning
NIPS 2023
Understanding Contrastive Learning via Distributionally Robust Optimization
NIPS 2023
Robust Sequence Networked Submodular Maximization
AAAI 2023
Discriminative-Invariant Representation Learning for Unbiased Recommendation
IJCAI 2023
BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
NIPS 2022
MM-ViT: Multi-Modal Video Transformer for Compressed Video Action Recognition
WACV 2022
Few-shot Named Entity Recognition with Self-describing Networks
ACL 2022
Time Series Domain Adaptation via Sparse Associative Structure Alignment
AAAI 2021
Honey or Poison? Solving the Trigger Curse in Few-shot Event Detection via Causal Intervention
EMNLP 2021
Speech-T: Transducer for Text to Speech and Beyond
NIPS 2021
Distilling Holistic Knowledge With Graph Neural Networks
ICCV 2021
Self-Supervised CycleGAN for Object-Preserving Image-to-Image Domain Adaptation
ECCV 2020
DGE: Deep Generative Network Embedding Based on Commonality and Individuality
AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback
AAAI 2020
Generative Adversarial Networks for Video-to-Video Domain Adaptation
AAAI 2020
Image Blind Denoising With Generative Adversarial Network Based Noise Modeling
CVPR 2018