Jing Huang
72 papers · 2001–2026 · 19 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (19)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(13)
π§
Keyword Pioneer
π
Grand Slam
π€
Dynamic Duo
(10)
π₯
Mega-Team
(100)
π§¬
Topic Evolution
π
Keyword Champion
(2)
β
The Questioner
(2)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(303)
π
Century Club
(67)
π
Conference Pioneer
π₯
Unstoppable
(7)
Conferences
ACL (17)
EMNLP (8)
CVPR (7)
AAAI (6)
NAACL (6)
INTERSPEECH (6)
ICCV (4)
IJCAI (3)
ICML (3)
ICLR (3)
ECCV (1)
IJCNLP (1)
CONLL (1)
JMLR (1)
MICCAI (1)
ACML (1)
NIPS (1)
RSS (1)
WACV (1)
Top co-authors
Research topics
Keywords
large language model
(5)
neural network
(5)
text generation
(4)
language model
(4)
graph neural network
(4)
attention mechanism
(4)
multi-agent system
(3)
document-level relation extraction
(3)
question answering
(3)
reading comprehension
(2)
representation learning
(2)
sentiment classification
(2)
few-shot learning
(2)
video understanding
(2)
machine unlearning
(2)
link prediction
(2)
zero-shot learning
(2)
graph representation learning
(2)
weakly supervised learning
(2)
visual question answering
(2)
Papers
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation
ACL 2026
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
ACL 2026
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation
ACL 2026
Trajectory2Task: Training Robust Tool-Calling Agents with Synthesized Yet Verifiable Data for Complex User Intents
ACL 2026
Can LLM Agents Simulate Multi-Turn Human Behavior? Evidence from Real Online Customer Behavior Data
ACL 2026
Explainable ADHD Diagnostic Framework Using Weakly-Supervised Action Recognition
MICCAI 2025
Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability
JMLR 2025
AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
ICML 2025
MIB: A Mechanistic Interpretability Benchmark
ICML 2025
Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
ICML 2025
HyperDAS: Towards Automating Mechanistic Interpretability with Hypernetworks
ICLR 2025
INTER: Mitigating Hallucination in Large Vision-Language Models by Interaction Guidance Sampling
ICCV 2025
Diffusion Epistemic Uncertainty with Asymmetric Learning for Diffusion-Generated Image Detection
ICCV 2025
RESCUE: Crowd Evacuation Simulation via Controlling SDM-United Characters
ICCV 2025
Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
ACL 2025
Identifying Unlearned Data in LLMs via Membership Inference Attacks
EMNLP 2025
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
AAAI 2025
A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes
AAAI 2025
MASTER: A Multi-Agent System with LLM Specialized MCTS
NAACL 2025
pyvene: A Library for Understanding and Improving PyTorch Models via Interventions
NAACL 2024
RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
ACL 2024
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
CVPR 2024
Querying as Prompt: Parameter-Efficient Learning for Multimodal Language Model
CVPR 2024
Demystifying Verbatim Memorization in Large Language Models
EMNLP 2024
PG-Story: Taxonomy, Dataset, and Evaluation for Ensuring Child-Safe Content for Story Generation
EMNLP 2024
Universal Humanoid Motion Representations for Physics-Based Control
ICLR 2024
Prompting Vision-Language Models For Aspect-Controlled Generation of Referring Expressions
NAACL 2024
Homotopic Path Set Planning for Robot Manipulation and Navigation
RSS 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings
WACV 2024
Code-Switched Text Synthesis in Unseen Language Pairs
ACL 2023
SPC: Soft Prompt Construction for Cross Domain Generalization
ACL 2023
Inducing Character-level Structure in Subword-based Language Models with Type-level Interchange Intervention Training
ACL 2023
Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?
IJCAI 2023
PragmatiCQA: A Dataset for Pragmatic Question Answering in Conversations
ACL 2023
Unsupervised Melody-to-Lyrics Generation
ACL 2023
Culturally Aware Natural Language Inference
EMNLP 2023
Rigorously Assessing Natural Language Explanations of Neurons
EMNLP 2023
Crowd3D: Towards Hundreds of People Reconstruction From a Single Image
CVPR 2023
Self-Supervised Object Detection from Egocentric Videos
ICCV 2023
Temporal RPN Learning for Weakly-Supervised Temporal Action Localization
ACML 2023
Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs
ACL 2022
Context-Situated Pun Generation
EMNLP 2022
PoseTriplet: Co-Evolving 3D Human Pose Estimation, Imitation, and Hallucination Under Self-Supervision
CVPR 2022
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
NIPS 2022
ExPUNations: Augmenting Puns with Keywords and Explanations
EMNLP 2022
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification
NAACL 2021
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
AAAI 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks
IJCAI 2021
Multi-hop Attention Graph Neural Networks
IJCAI 2021
Entity and Evidence Guided Document-Level Relation Extraction
IJCNLP 2021
A Cross-Dialectal Comparison of Apical Vowels in Beijing Mandarin, Northeastern Mandarin and Southwestern Mandarin: An EMA and Ultrasound Study
INTERSPEECH 2021
Entity and Evidence Guided Document-Level Relation Extraction
ACL 2021
Variance-reduced First-order Meta-learning for Natural Language Processing Tasks
NAACL 2021
Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification
NAACL 2021
Semantic Categorization of Social Knowledge for Commonsense Question Answering
EMNLP 2021
A Multiplexed Network for End-to-End, Multilingual OCR
CVPR 2021
TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text
CVPR 2021
Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation
CVPR 2021
Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding
ACL 2020
Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting
ECCV 2020
Improving Neural Language Generation with Spectrum Control
ICLR 2020
Select, Answer and Explain: Interpretable Multi-Hop Reading Comprehension over Multiple Documents
AAAI 2020
Er-Suffixation in Southwestern Mandarin: An EMA and Ultrasound Study
INTERSPEECH 2020
SkipConvNet: Skip Convolutional Neural Network for Speech Dereverberation Using Optimally Smoothed Spectral Mapping
INTERSPEECH 2020
Zero-Shot Text-to-SQL Learning with Auxiliary Task
AAAI 2020
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
AAAI 2019
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
INTERSPEECH 2019
Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs
ACL 2019
Speaker Diarization with Lexical Information
INTERSPEECH 2019
Relation Module for Non-Answerable Predictions on Reading Comprehension
CONLL 2019
Multi-Stride Self-Attention for Speech Recognition
INTERSPEECH 2019
Information Extraction from Voicemail
ACL 2001