Xiaoqing Zheng
47 papers · 2013–2026 · 8 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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🗺️ Taxonomy Completionist (101) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Triple Crown
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Deep Specialist
(10)
🤝
Dynamic Duo
(31)
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Keyword Champion
(2)
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Grand Slam
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Mega-Team · Squad
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Topic Evolution
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Prolific Year · Prolific
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Unstoppable · Bronze
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Century Club · Bronze
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Renaissance Researcher
(7)
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Keyword Collector
(233)
Top co-authors
Research topics
Machine Learning
(36)
Artificial Intelligence
(30)
Deep Learning
(29)
Core AI
(25)
Learning Types · Machine Learning
(21)
Learning Types · Deep Learning
(17)
Natural Language Processing
(15)
Application Areas
(14)
Architectures
(11)
Optimization & Theory · Machine Learning
(10)
Applications
(8)
Core Methods
(7)
Optimization & Theory · Deep Learning
(5)
Understanding
(5)
Learning Paradigms
(4)
Keywords
large language model
(8)
text classification
(5)
spiking neural network
(5)
adversarial robustness
(4)
adversarial training
(4)
natural language processing
(4)
parameter-efficient fine-tuning
(3)
unsupervised learning
(3)
adversarial attack
(3)
dependency parsing
(3)
neural network
(3)
adversarial defense
(2)
representation engineering
(2)
sequence-to-sequence learning
(2)
edge computing
(2)
weight perturbation
(2)
adversarial learning
(2)
multimodal learning
(2)
federated learning
(2)
model robustness
(2)
Papers
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction
ACL 2026
Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling
AAAI 2026
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
ACL 2026
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
ACL 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks
IJCAI 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks
IJCAI 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis
ACL 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
COLING 2025
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading
EMNLP 2025
Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
ACL 2025
TripTailor: A Real-World Benchmark for Personalized Travel Planning
ACL 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
EMNLP 2025
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators
NeurIPS 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks
ICML 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space
ICLR 2024
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations
ACL 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
EMNLP 2023
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge
ACL 2023
Measure Children’s Mindreading Ability with Machine Reading
EMNLP 2023
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts
EMNLP 2023
Spiking Convolutional Neural Networks for Text Classification
ICLR 2023
TableVLM: Multi-modal Pre-training for Table Structure Recognition
ACL 2023
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation
EMNLP 2023
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
ACL 2022
Regularized Molecular Conformation Fields
NeurIPS 2022
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples
ACL 2022
Weight Perturbation as Defense against Adversarial Word Substitutions
EMNLP 2022
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble
ACL 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models
ACL 2021
On the Transferability of Adversarial Attacks against Neural Text Classifier
EMNLP 2021
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution
EMNLP 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing
ACL 2021
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering
EMNLP 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples
ACL 2020
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples
EMNLP 2020
Generating Responses with a Specific Emotion in Dialog
ACL 2019
Incremental Graph-based Neural Dependency Parsing
EMNLP 2017
Context-Specific and Multi-Prototype Character Representations
IJCAI 2016
Character-Based Parsing with Convolutional Neural Network
IJCAI 2015
Deep Learning for Chinese Word Segmentation and POS Tagging
EMNLP 2013