← Authors

Xiaoqing Zheng

48 papers · 2013–2026 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸƒ Academic Marathon (12) 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🀝 Dynamic Duo (32) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (34) πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (12) 🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (211) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ’Ž Century Club (47)

Conferences

ACL (17) EMNLP (16) IJCAI (4) IJCNLP (3) ICLR (2) ICML (2) NIPS (2) AAAI (1) COLING (1)

Top co-authors

Xuanjing Huang (33) Changze Lv (19) Xiaohua Wang (14) Kai-Wei Chang (9) Muling Wu (9) Cho-jui Hsieh (9) Cenyuan Zhang (8) Jianhan Xu (8) Wenhao Liu (7) Tianlong Li (7)

Keywords

large language model (8) text classification (5) adversarial training (5) natural language processing (4) adversarial attack (4) neural network (4) adversarial robustness (4) unsupervised learning (3) adversarial defense (3) dependency parsing (3) model robustness (3) sequence-to-sequence learning (3) spiking neural network (3) parameter efficient fine-tuning (2) parameter-efficient fine-tuning (2) representation engineering (2) edge computing (2) weight perturbation (2) adversarial learning (2) federated learning (2)

Papers

Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling AAAI 2026
SATER: A Self-Aware and Token-Efficient Approach to Routing and Cascading EMNLP 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective COLING 2025
ECC-SNN: Cost-Effective Edge-Cloud Collaboration for Spiking Neural Networks IJCAI 2025
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation ACL 2025
FastMCTS: A Simple Sampling Strategy for Data Synthesis ACL 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
Improving Continual Pre-training Through Seamless Data Packing ACL 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation EMNLP 2025
Cost-Effective On-Device Sequential Recommendation with Spiking Neural Networks IJCAI 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm ICML 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization EMNLP 2025
Searching for Best Practices in Retrieval-Augmented Generation EMNLP 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA EMNLP 2024
Advancing Parameter Efficiency in Fine-tuning via Representation Editing ACL 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024
Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space ICLR 2024
Aligning Large Language Models with Human Preferences through Representation Engineering ACL 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts EMNLP 2023
TableVLM: Multi-modal Pre-training for Table Structure Recognition ACL 2023
Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge ACL 2023
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation EMNLP 2023
Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation EMNLP 2023
Measure Children’s Mindreading Ability with Machine Reading EMNLP 2023
Spiking Convolutional Neural Networks for Text Classification ICLR 2023
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples ACL 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck ACL 2022
Regularized Molecular Conformation Fields NIPS 2022
Weight Perturbation as Defense against Adversarial Word Substitutions EMNLP 2022
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble IJCNLP 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models ACL 2021
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble 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
Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models IJCNLP 2021
Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples EMNLP 2020
Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples ACL 2020
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering 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