Xiang Ao

40 papers · 2018–2025 · 7 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🌈 Renaissance Researcher (10) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (6) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🤝 Dynamic Duo (23) 🧬 Topic Evolution 🏆 Keyword Champion (3) 📈 Trend Setter ⚡ Prolific Year (5) 🗃️ Keyword Collector (181) 🔥 Unstoppable (8) 💎 Century Club (40)

Conferences

AAAI (10) EMNLP (8) ACL (7) IJCNLP (5) COLING (4) IJCAI (4) ICLR (2)

Top co-authors

Qing He (23) Ling Luo (10) Min Yang (9) Jiwei Li (8) Xiaofei Sun (7) Guoxin Yu (7) Yan Song (6) Yuxian Meng (6) Xiting Wang (5) Feiyang Pan (4)

Keywords

reinforcement learning (4) named entity recognition (4) attention mechanism (4) large language model (4) user modeling (3) sentiment analysis (3) neural network (3) sentiment polarity (3) policy gradient (3) text generation (3) aspect-based sentiment analysis (3) multi-objective optimization (2) sequence labeling (2) text classification (2) fraud detection (2) semantic similarity (2) headline generation (2) text summarization (2) explanation generation (2) machine reading comprehension (2)

Papers

Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models ACL 2025

Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment AAAI 2025

AlphaForge: A Framework to Mine and Dynamically Combine Formulaic Alpha Factors AAAI 2025

Dynamic Graph Learning with Static Relations for Credit Risk Assessment AAAI 2025

Controlling Large Language Models Through Concept Activation Vectors AAAI 2025

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback AAAI 2024

EFSA: Towards Event-Level Financial Sentiment Analysis ACL 2024

Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024

Distillation with Explanations from Large Language Models COLING 2024

DRAMA: Dynamic Multi-Granularity Graph Estimate Retrieval over Tabular and Textual Question Answering COLING 2024

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective ICLR 2024

Retrieval-Augmented Few-shot Text Classification EMNLP 2023

Gradient-Adaptive Pareto Optimization for Constrained Reinforcement Learning AAAI 2023

Making Better Use of Training Corpus: Retrieval-based Aspect Sentiment Triplet Extraction via Label Interpolation ACL 2023

Revisiting Graph Adversarial Attack and Defense From a Data Distribution Perspective ICLR 2023

Defending against Backdoor Attacks in Natural Language Generation AAAI 2023

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement AAAI 2022

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis IJCNLP 2021

A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models AAAI 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation ACL 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information ACL 2021

Making Flexible Use of Subtasks: A Multiplex Interaction Network for Unified Aspect-based Sentiment Analysis ACL 2021

ConRPG: Paraphrase Generation using Contexts as Regularizer EMNLP 2021

Layer-wise Model Pruning based on Mutual Information EMNLP 2021

Self Question-answering: Aspect-based Sentiment Analysis by Role Flipped Machine Reading Comprehension EMNLP 2021

Online Credit Payment Fraud Detection via Structure-Aware Hierarchical Recurrent Neural Network IJCAI 2021

PENS: A Dataset and Generic Framework for Personalized News Headline Generation IJCNLP 2021

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information IJCNLP 2021

Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning AAAI 2021

Interactive Key-Value Memory-augmented Attention for Image Paragraph Captioning COLING 2020

Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge ACL 2020

Improving Named Entity Recognition with Attentive Ensemble of Syntactic Information EMNLP 2020

Towards Explainable Conversational Recommendation IJCAI 2020

Meet Changes with Constancy: Learning Invariance in Multi-Source Translation COLING 2020

Reading Like HER: Human Reading Inspired Extractive Summarization IJCNLP 2019

Reading Like HER: Human Reading Inspired Extractive Summarization EMNLP 2019

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis IJCNLP 2019

Unsupervised Neural Aspect Extraction with Sememes IJCAI 2019

A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis EMNLP 2019

Beyond Polarity: Interpretable Financial Sentiment Analysis with Hierarchical Query-driven Attention IJCAI 2018