Jing Xu
68 papers · 2008–2026 · 20 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (19) π Renaissance Researcher (9) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Academic Marathon
(17)
π
Cross-Pollinator
(11)
πΊοΈ
Taxonomy Completionist
(19)
π₯
Mega-Team
(30)
π
Grand Slam
π
Keyword Champion
π
Triple Crown
ποΈ
Keyword Collector
(315)
β‘
Prolific Year
(14)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(67)
π₯
Unstoppable
(8)
Conferences
ICML (11)
ACL (9)
AAAI (7)
NIPS (6)
CVPR (6)
NAACL (5)
INTERSPEECH (4)
EMNLP (4)
JMLR (2)
IJCNLP (2)
ICCV (2)
COLING (2)
ICLR (1)
ECCV (1)
IJCAI (1)
EACL (1)
CORL (1)
COLT (1)
AACL (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
large language model
(8)
few-shot learning
(7)
contrastive learning
(5)
dialogue system
(5)
text generation
(5)
language model
(3)
emotion recognition
(3)
speaker embedding
(2)
feature transformation
(2)
boundary detection
(2)
model compression
(2)
instruction following
(2)
reinforcement learning
(2)
dialogue state tracking
(2)
named entity recognition
(2)
bayesian inference
(2)
self-supervised learning
(2)
representation learning
(2)
transfer learning
(2)
nonconvex optimization
(2)
Papers
Learning from Near-Misses: Error-Aware Contrastive Few-Shot Learning for NL2Formula
ACL 2026
EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
CVPR 2025
Beyond Single Images: Retrieval Self-Augmented Unsupervised Camouflaged Object Detection
ICCV 2025
Shift the Lens: Environment-Aware Unsupervised Camouflaged Object Detection
CVPR 2025
Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge
EMNLP 2025
Following Length Constraints in Instructions
EMNLP 2025
Lemmatization of Cuneiform Languages Using the ByT5 Model
NAACL 2025
CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
AAAI 2025
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
AAAI 2025
Detecting Hallucination in Large Language Models Through Deep Internal Representation Analysis
IJCAI 2025
R.I.P.: Better Models by Survival of the Fittest Prompts
ICML 2025
Scalable Model Merging with Progressive Layer-wise Distillation
ICML 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
ICML 2025
Self-Consistency Preference Optimization
ICML 2025
Understanding Nonlinear Implicit Bias via Region Counts in Input Space
ICML 2025
Self-supervised ControlNet with Spatio-Temporal Mamba for Real-world Video Super-resolution
CVPR 2025
On Finding Small Hyper-Gradients in Bilevel Optimization: Hardness Results and Improved Analysis
COLT 2024
CADTalk: An Algorithm and Benchmark for Semantic Commenting of CAD Programs
CVPR 2024
When Life Gives You Lemons, Make Cherryade: Converting Feedback from Bad Responses into Good Labels
NAACL 2024
Augmenting Reasoning Capabilities of LLMs with Graph Structures in Knowledge Base Question Answering
EMNLP 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
ICML 2024
Functionally Constrained Algorithm Solves Convex Simple Bilevel Problem
NIPS 2024
Seamless Language Expansion: Enhancing Multilingual Mastery in Self-Supervised Models
INTERSPEECH 2024
Prompting Large Language Models with Mispronunciation Detection and Diagnosis Abilities
INTERSPEECH 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
NIPS 2024
MultiSum: A Multi-Facet Approach for Extractive Social Summarization Utilizing Semantic and Sociological Relationships
AAAI 2024
Separation and Fusion: A Novel Multiple Token Linking Model for Event Argument Extraction
NAACL 2024
Chain-of-Verification Reduces Hallucination in Large Language Models
ACL 2024
Self-Rewarding Language Models
ICML 2024
Global and Local Hierarchical Prompt Tuning Framework for Multi-level Implicit Discourse Relation Recognition
COLING 2024
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
ICML 2023
Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression
NIPS 2023
Dialogue State Distillation Network with Inter-slot Contrastive Learning for Dialogue State Tracking
AAAI 2023
Infusing Hierarchical Guidance into Prompt Tuning: A Parameter-Efficient Framework for Multi-level Implicit Discourse Relation Recognition
ACL 2023
The CRINGE Loss: Learning what language not to model
ACL 2023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback
ACL 2023
Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts
ACL 2023
Continual Dialogue State Tracking via Example-Guided Question Answering
EMNLP 2023
A Closer Look at Few-shot Classification Again
ICML 2023
Quantifying the Variability Collapse of Neural Networks
ICML 2023
"Delving into Universal Lesion Segmentation: Method, Dataset, and Benchmark"
ECCV 2022
Channel Importance Matters in Few-Shot Image Classification
ICML 2022
ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing
SEMEVAL 2022
A Multi-turn Machine Reading Comprehension Framework with Rethink Mechanism for Emotion-Cause Pair Extraction
COLING 2022
SaFeRDialogues: Taking Feedback Gracefully after Conversational Safety Failures
ACL 2022
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
ACL 2022
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation
AACL 2022
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation
IJCNLP 2022
ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing
NAACL 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
NIPS 2022
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
ICLR 2022
Bot-Adversarial Dialogue for Safe Conversational Agents
NAACL 2021
Recipes for Building an Open-Domain Chatbot
EACL 2021
Modularized Interaction Network for Named Entity Recognition
IJCNLP 2021
Improving Deep CNN Architectures with Variable-Length Training Samples for Text-Independent Speaker Verification
INTERSPEECH 2021
MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation
AAAI 2021
Modularized Interaction Network for Named Entity Recognition
ACL 2021
Density-Aware Feature Embedding for Face Clustering
CVPR 2020
Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
NIPS 2020
Vector-Based Attentive Pooling for Text-Independent Speaker Verification
INTERSPEECH 2020
Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
AAAI 2020
Point-Based Multi-View Stereo Network
ICCV 2019
Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition
AAAI 2019
S4G: Amodal Single-view Single-Shot SE(3) Grasp Detection in Cluttered Scenes
CORL 2019
Attention-Aware Compositional Network for Person Re-Identification
CVPR 2018
Importance Sampling for Continuous Time Bayesian Networks
JMLR 2010
Continuous Time Bayesian Network Reasoning and Learning Engine
JMLR 2010
How memory biases affect information transmission: A rational analysis of serial reproduction
NIPS 2008