Xingxing Zhang
40 papers · 2013–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (13) π Interdisciplinary Bridge π£ Hot Topic Early Bird π§ Keyword Pioneer π Academic Marathon (12)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(7)
πΊοΈ
Taxonomy Completionist
(81)
π€
Dynamic Duo
(16)
π
Grand Slam
π±
Topic Pioneer
π§¬
Topic Evolution
β‘
Prolific Year
(7)
π
Trend Setter
ποΈ
Keyword Collector
(149)
π₯
Unstoppable
(10)
π
Century Club
(39)
Conferences
EMNLP (8)
ACL (7)
NIPS (5)
ICLR (4)
AAAI (3)
CVPR (3)
ECCV (2)
ICML (2)
IJCAI (2)
COLING (1)
CONLL (1)
EACL (1)
NAACL (1)
Top co-authors
Keywords
document summarization
(4)
abstractive summarization
(4)
extractive summarization
(4)
representation learning
(4)
unsupervised learning
(4)
large language model
(3)
text summarization
(3)
catastrophic forgetting
(3)
knowledge distillation
(3)
continual learning
(3)
reinforcement learning
(2)
sequence-to-sequence model
(2)
neural network
(2)
hierarchical transformer
(2)
zero-shot learning
(2)
text generation
(2)
grammatical error correction
(2)
self-supervised learning
(2)
class-incremental learning
(2)
graph learning
(1)
Papers
Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM Hallucinations
ACL 2026
Knowledge Memorization and Rumination for Pre-trained Model-based Class-Incremental Learning
CVPR 2025
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective
ACL 2025
Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning
AAAI 2025
Self-Boosting Large Language Models with Synthetic Preference Data
ICLR 2025
Preference Optimization for Reasoning with Pseudo Feedback
ICLR 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
ICLR 2025
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
ECCV 2024
MathScale: Scaling Instruction Tuning for Mathematical Reasoning
ICML 2024
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
ICML 2024
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One Token
NIPS 2024
Stabilizing Zero-Shot Prediction: A Novel Antidote to Forgetting in Continual Vision-Language Tasks
NIPS 2024
PEAC: Unsupervised Pre-training for Cross-Embodiment Reinforcement Learning
NIPS 2024
CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
IJCAI 2024
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
NIPS 2023
Hierarchical Decomposition of Prompt-Based Continual Learning: Rethinking Obscured Sub-optimality
NIPS 2023
Tuna: Instruction Tuning using Feedback from Large Language Models
EMNLP 2023
Unsupervised Multi-Granularity Summarization
EMNLP 2022
Sequence Level Contrastive Learning for Text Summarization
AAAI 2022
Attention Temperature Matters in Abstractive Summarization Distillation
ACL 2022
CoSCL: Cooperation of Small Continual Learners Is Stronger than a Big One
ECCV 2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
ACL 2022
Memory Replay with Data Compression for Continual Learning
ICLR 2022
Double Low-Rank Representation With Projection Distance Penalty for Clustering
CVPR 2021
Unsupervised Fine-tuning for Text Clustering
COLING 2020
Pre-training for Abstractive Document Summarization by Reinstating Source Text
EMNLP 2020
Improving the Efficiency of Grammatical Error Correction with Erroneous Span Detection and Correction
EMNLP 2020
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
EMNLP 2020
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning
CVPR 2020
DualVD: An Adaptive Dual Encoding Model for Deep Visual Understanding in Visual Dialogue
AAAI 2020
HIBERT: Document Level Pre-training of Hierarchical Bidirectional Transformers for Document Summarization
ACL 2019
Automatic Grammatical Error Correction for Sequence-to-sequence Text Generation: An Empirical Study
ACL 2019
Neural Latent Extractive Document Summarization
EMNLP 2018
Self-Supervised Deep Low-Rank Assignment Model for Prototype Selection
IJCAI 2018
Sentence Simplification with Deep Reinforcement Learning
EMNLP 2017
UParse: the Edinburgh system for the CoNLL 2017 UD shared task
CONLL 2017
Dependency Parsing as Head Selection
EACL 2017
Top-down Tree Long Short-Term Memory Networks
NAACL 2016
Chinese Poetry Generation with Recurrent Neural Networks
EMNLP 2014
Towards Accurate Distant Supervision for Relational Facts Extraction
ACL 2013