Junjie Wu
19 papers · 2013–2026 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
π Renaissance Researcher (8) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (12) πΊοΈ Taxonomy Completionist (34)
π§
Keyword Pioneer
π
Conference Polyglot
(9)
π§¬
Topic Evolution
π
Conference Pioneer
π
Century Club
(14)
β‘
Prolific Year
(8)
ποΈ
Keyword Collector
(77)
Conferences
ACL (5)
AAAI (4)
NAACL (3)
EMNLP (2)
COLING (1)
ICCV (1)
ICLR (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
large language model
(4)
reinforcement learning
(2)
traffic flow prediction
(2)
zero-shot graph learning
(2)
sentiment analysis
(1)
curriculum learning
(1)
benchmark evaluation
(1)
machine translation
(1)
convex optimization
(1)
chain-of-thought reasoning
(1)
model evaluation
(1)
response generation
(1)
emotion recognition
(1)
trajectory prediction
(1)
deep learning
(1)
self-supervised learning
(1)
graph structure
(1)
out-of-distribution generalization
(1)
dense retrieval
(1)
graph representation
(1)
Papers
ERCThinker: Fast-Slow Thinking for Emotion Recognition in Conversation
ACL 2026
Situated Embedding Models for Context-Aware Dense Retrieval
ACL 2026
Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
ACL 2026
JoPR: Joint Emotion Perception and Reasoning for Conversational Emotion Recognition
ACL 2026
Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems
AAAI 2026
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data
ICCV 2025
Asymmetric Factorized Bilinear Operation for Vision Transformer
ICLR 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning
AAAI 2025
Ref-Long: Benchmarking the Long-context Referencing Capability of Long-context Language Models
ACL 2025
LaERC-S: Improving LLM-based Emotion Recognition in Conversation with Speaker Characteristics
COLING 2025
Graph-R1: Incentivizing the Zero-Shot Graph Learning Capability in LLMs via Explicit Reasoning
EMNLP 2025
Understanding LLMsβ Fluid Intelligence Deficiency: An Analysis of the ARC Task
NAACL 2025
The Stochastic Parrot on LLMβs Shoulder: A Summative Assessment of Physical Concept Understanding
NAACL 2025
LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings
NIPS 2024
Towards General Error Diagnosis via Behavioral Testing in Machine Translation
EMNLP 2023
Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction
AAAI 2023
Augmenting Topic Aware Knowledge-Grounded Conversations with Dynamic Built Knowledge Graphs
NAACL 2021
SVM-Based Deep Stacking Networks
AAAI 2019
A Theoretic Framework of K-Means-Based Consensus Clustering
IJCAI 2013