Jiaxing Zhang
24 papers · 2012–2026 · 11 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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πΊοΈ Taxonomy Completionist (69) π Academic Marathon Β· Half π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Topic Evolution
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Keyword Champion
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(142)
Venues
Top co-authors
Research topics
Artificial Intelligence
(18)
Core AI
(18)
Deep Learning
(15)
Natural Language Processing
(13)
Machine Learning
(11)
Learning Types Β· Deep Learning
(10)
Applications
(7)
Architectures
(7)
Learning Types Β· Machine Learning
(6)
Resources & Methods
(5)
Generation
(4)
Application Areas
(3)
Core Methods
(3)
Models
(3)
Techniques
(3)
Keywords
named entity recognition
(3)
large language model
(3)
language model
(3)
question answering
(3)
graph neural network
(2)
pre-trained language model
(2)
neural network
(2)
commonsense reasoning
(2)
loss recovery
(2)
congestion control
(2)
multimodal learning
(2)
feature extraction
(2)
information extraction
(2)
self-supervised learning
(2)
hallucination mitigation
(2)
natural language processing
(1)
sentiment analysis
(1)
benchmark evaluation
(1)
domain adaptation
(1)
zero-shot learning
(1)
Papers
From Source to Solution: Tackling Packet Losses in Large-scale Cloud Gaming Systematically and Precisely
NSDI 2026
CAPE: A Chinese Dataset for Appraisal-based Emotional Generation in Large Language Models
NAACL 2025
GE-Chat: A Graph Enhanced RAG Framework for Evidential Response Generation of LLMs
IJCAI 2025
MADial-Bench: Towards Real-world Evaluation of Memory-Augmented Dialogue Generation
NAACL 2025
RISE: Radius of Influence based Subgraph Extraction for 3D Molecular Graph Explanation
ICML 2025
ChiMed-GPT: A Chinese Medical Large Language Model with Full Training Regime and Better Alignment to Human Preferences
ACL 2024
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
ICML 2024
Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation
ACL 2024
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training
ACL 2024
RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
NeurIPS 2024
TECC: Towards Efficient QUIC Tunneling via Collaborative Transmission Control
NSDI 2024
MAP: Multimodal Uncertainty-Aware Vision-Language Pre-Training Model
CVPR 2023
MVP-Tuning: Multi-View Knowledge Retrieval with Prompt Tuning for Commonsense Reasoning
ACL 2023
Orca: A Few-shot Benchmark for Chinese Conversational Machine Reading Comprehension
EMNLP 2023
Solving Math Word Problems via Cooperative Reasoning induced Language Models
ACL 2023
UniEX: An Effective and Efficient Framework for Unified Information Extraction via a Span-extractive Perspective
ACL 2023
BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model
ACL 2022
Flat Multi-modal Interaction Transformer for Named Entity Recognition
COLING 2022
Zero-Shot Learners for Natural Language Understanding via a Unified Multiple Choice Perspective
EMNLP 2022
Long Short-Term Sample Distillation
AAAI 2020
The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification
CVPR 2015
Attentional Neural Network: Feature Selection Using Cognitive Feedback
NeurIPS 2014
Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions
NSDI 2012
Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE
OSDI 2012