Qi Zhang

392 papers · 2002–2026 · 19 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (19) 🗺️ Taxonomy Completionist (38) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (6) 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (23) 🏠 Conference Loyalist (36) 🌟 Keyword Trendsetter Combo (6) 👑 Domain Dominant (23) 🤝 Dynamic Duo (155) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (34) 🌱 Topic Pioneer 🔬 Deep Specialist (53) 🏆 Keyword Champion (2) ❓ The Questioner (7) 🚀 Conference Pioneer 💎 Century Club (383) ⚡ Prolific Year (17) 🗃️ Keyword Collector (118) 📈 Trend Setter 🔥 Unstoppable (17)

Conferences

EMNLP (89) ACL (83) AAAI (44) COLING (30) CVPR (27) IJCAI (21) ICLR (17) NIPS (16) IJCNLP (14) NAACL (12) ECCV (10) ICML (9) ICCV (6) JMLR (3) MICCAI (3) SEMEVAL (3) EACL (2) INTERSPEECH (2) AACL (1)

Top co-authors

Xuanjing Huang (156) Tao Gui (109) zhongyu wei (36) Rui Zheng (36) Zhiheng Xi (33) Shihan Dou (24) Weiwei Deng (24) Liang Hu (20) Xiao Wang (19) Minlong Peng (19)

Research topics

Privacy (4) Models (1) Applications (1)

Keywords

large language model (52) named entity recognition (21) reinforcement learning (21) representation learning (19) language model (18) contrastive learning (18) transfer learning (18) pre-trained language model (17) domain adaptation (16) graph neural network (15) text classification (13) relation extraction (12) multimodal learning (11) model compression (11) text generation (11) adversarial training (9) knowledge graph (9) neural radiance field (9) novel view synthesis (9) neural network (9)

Papers

DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation AAAI 2026

UV-RGS: Relightable 3D Gaussian Splatting from Unposed Views Under Varied Illuminations AAAI 2026

One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion AAAI 2026

Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction EACL 2026

MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning AAAI 2026

Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination AAAI 2026

Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths AAAI 2026

Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model AAAI 2026

ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation AAAI 2026

UFO: A UI-Focused Agent for Windows OS Interaction NAACL 2025

RDMR: Recursive Inference and Representation Disentanglement for Multimodal Large Deformation Registration MICCAI 2025

MultiTransAD: Cross-Sequence Translation-Driven Anomaly Detection in Multi-Sequence Brain MRI MICCAI 2025

An Augmentation Overlap Theory of Contrastive Learning JMLR 2025

COLUR: Confidence-Oriented Learning, Unlearning and Relearning with Noisy-Label Data for Model Restoration and Refinement IJCAI 2025

RF-DTR: A Multi-Stage DCT Token Regression Network for Progressive Rib Fracture Mask Refinement IJCAI 2025

Sentiment-enhanced Multi-hop Connected Graph Attention Network for Multimodal Aspect-Based Sentiment Analysis IJCAI 2025

Improving Prediction Certainty Estimation for Reliable Early Exiting via Null Space Projection IJCAI 2025

Recalling The Forgotten Class Memberships: Unlearned Models Can Be Noisy Labelers to Leak Privacy IJCAI 2025

Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 2025

2D Gaussian Splatting for Outdoor Scene Decomposition and Relighting IJCAI 2025

EvoWiki: Evaluating LLMs on Evolving Knowledge ACL 2025

D.Va: Validate Your Demonstration First Before You Use It ACL 2025

ToolHop: A Query-Driven Benchmark for Evaluating Large Language Models in Multi-Hop Tool Use ACL 2025

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models ACL 2025

Lost in the Context: Insufficient and Distracted Attention to Contexts in Preference Modeling ACL 2025

MindSimulator: Exploring Brain Concept Localization via Synthetic fMRI ICLR 2025

Large-scale and Fine-grained Vision-language Pre-training for Enhanced CT Image Understanding ICLR 2025

Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness ICLR 2025

RuAG: Learned-rule-augmented Generation for Large Language Models ICLR 2025

SELF-EVOLVED REWARD LEARNING FOR LLMS ICLR 2025

MGDA Converges under Generalized Smoothness, Provably ICLR 2025

Projection Head is Secretly an Information Bottleneck ICLR 2025

RMB: Comprehensively benchmarking reward models in LLM alignment ICLR 2025

Multi-Domain Ancient Chinese Named Entity Recognition Based on Attention-Enhanced Pre-trained Language Model NAACL 2025

Autonomous Goal Detection and Cessation in Reinforcement Learning: A Case Study on Source Term Estimation AAAI 2025

View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection AAAI 2025

Position-Aware Guided Point Cloud Completion with CLIP Model AAAI 2025

Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting AAAI 2025

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding AAAI 2025

MindTuner: Cross-Subject Visual Decoding with Visual Fingerprint and Semantic Correction AAAI 2025

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning AAAI 2025

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning AAAI 2025

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism AAAI 2025

Revisiting Large-Scale Non-convex Distributionally Robust Optimization ICLR 2025

OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? ICLR 2025

Have the VLMs Lost Confidence? A Study of Sycophancy in VLMs ICLR 2025

BokehDiff: Neural Lens Blur with One-Step Diffusion ICCV 2025

Boosting Vision Semantic Density with Anatomy Normality Modeling for Medical Vision-language Pre-training ICCV 2025

CoMPaSS: Enhancing Spatial Understanding in Text-to-Image Diffusion Models ICCV 2025

SU-RGS: Relightable 3D Gaussian Splatting from Sparse Views under Unconstrained Illuminations ICCV 2025

MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf EMNLP 2025

Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval EMNLP 2025

LLMEval-Med: A Real-world Clinical Benchmark for Medical LLMs with Physician Validation EMNLP 2025

Distill Visual Chart Reasoning Ability from LLMs to MLLMs EMNLP 2025

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation EMNLP 2025

Mitigating Object Hallucinations in MLLMs via Multi-Frequency Perturbations EMNLP 2025

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use EMNLP 2025

Structural Patent Classification Using Label Hierarchy Optimization EMNLP 2025

Toward Optimal LLM Alignments Using Two-Player Games EMNLP 2025

LoRACoE: Improving Large Language Model via Composition-based LoRA Expert EMNLP 2025

NL2Lean: Translating Natural Language into Lean 4 through Multi-Aspect Reinforcement Learning EMNLP 2025

Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning EMNLP 2025

TASO: Task-Aligned Sparse Optimization for Parameter-Efficient Model Adaptation EMNLP 2025

Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety EMNLP 2025

MAIN: Mutual Alignment Is Necessary for instruction tuning EMNLP 2025

LeTS: Learning to Think-and-Search via Process-and-Outcome Reward Hybridization EMNLP 2025

Analyzing the Effects of Supervised Fine-Tuning on Model Knowledge from Token and Parameter Levels EMNLP 2025

Mitigating Ambiguities in 3D Classification with Gaussian Splatting CVPR 2025

Generative Hard Example Augmentation for Semantic Point Cloud Segmentation CVPR 2025

TSD-SR: One-Step Diffusion with Target Score Distillation for Real-World Image Super-Resolution CVPR 2025

Mani-GS: Gaussian Splatting Manipulation with Triangular Mesh CVPR 2025

Beyond Boundaries: Learning a Universal Entity Taxonomy across Datasets and Languages for Open Named Entity Recognition COLING 2025

ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios COLING 2025

ClimateIE: A Dataset for Climate Science Information Extraction ACL 2025

Better Process Supervision with Bi-directional Rewarding Signals ACL 2025

ALPS: Attention Localization and Pruning Strategy for Efficient Adaptation of Large Language Models ACL 2025

ESF: Efficient Sensitive Fingerprinting for Black-Box Tamper Detection of Large Language Models ACL 2025

Context-DPO: Aligning Language Models for Context-Faithfulness ACL 2025

DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale ACL 2025

DocFusion: A Unified Framework for Document Parsing Tasks ACL 2025

Taxonomy-Driven Knowledge Graph Construction for Domain-Specific Scientific Applications ACL 2025

GeAR: Generation Augmented Retrieval ACL 2025

Multi-Programming Language Sandbox for LLMs ACL 2025

PFDial: A Structured Dialogue Instruction Fine-tuning Method Based on UML Flowcharts ACL 2025

Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025

AgentGym: Evaluating and Training Large Language Model-based Agents across Diverse Environments ACL 2025

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law ACL 2025

Measuring Data Diversity for Instruction Tuning: A Systematic Analysis and A Reliable Metric ACL 2025

DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition NAACL 2025

AXIS: Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents ACL 2025

GameTox: A Comprehensive Dataset and Analysis for Enhanced Toxicity Detection in Online Gaming Communities NAACL 2025

Mitigating Tail Narrowing in LLM Self-Improvement via Socratic-Guided Sampling NAACL 2025

ToolSword: Unveiling Safety Issues of Large Language Models in Tool Learning Across Three Stages ACL 2024

NeuroClips: Towards High-fidelity and Smooth fMRI-to-Video Reconstruction NIPS 2024

FilterNet: Harnessing Frequency Filters for Time Series Forecasting NIPS 2024

Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control NIPS 2024

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting AAAI 2024

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields AAAI 2024

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection AAAI 2024

Text Diffusion with Reinforced Conditioning AAAI 2024

Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector AAAI 2024

LLMEval: A Preliminary Study on How to Evaluate Large Language Models AAAI 2024

LoRAMoE: Alleviating World Knowledge Forgetting in Large Language Models via MoE-Style Plugin ACL 2024

Enhancing Contrastive Learning with Noise-Guided Attack: Towards Continual Relation Extraction in the Wild ACL 2024

CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending ACL 2024

StepCoder: Improving Code Generation with Reinforcement Learning from Compiler Feedback ACL 2024

Navigating the OverKill in Large Language Models ACL 2024

Unveiling Linguistic Regions in Large Language Models ACL 2024

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition ACL 2024

Uncertainty Aware Learning for Language Model Alignment ACL 2024

Rescue: Ranking LLM Responses with Partial Ordering to Improve Response Generation ACL 2024

Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments ACL 2024

Se2: Sequential Example Selection for In-Context Learning ACL 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption ACL 2024

P4: Plug-and-Play Discrete Prompting for Large Language Models Personalization ACL 2024

Making Harmful Behaviors Unlearnable for Large Language Models ACL 2024

RECOST: External Knowledge Guided Data-efficient Instruction Tuning ACL 2024

Length Generalization of Causal Transformers without Position Encoding ACL 2024

Who Responded to Whom: The Joint Effects of Latent Topics and Discourse in Conversation Structure ACL 2024

Calibrating LLM-Based Evaluator COLING 2024

Domain Generalization via Causal Adjustment for Cross-Domain Sentiment Analysis COLING 2024

ORTicket: Let One Robust BERT Ticket Transfer across Different Tasks COLING 2024

PASUM: A Pre-training Architecture for Social Media User Modeling Based on Text Graph COLING 2024

RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024

SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions COLING 2024

Subspace Defense: Discarding Adversarial Perturbations by Learning a Subspace for Clean Signals COLING 2024

ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis CVPR 2024

FINER: Flexible Spectral-bias Tuning in Implicit NEural Representation by Variable-periodic Activation Functions CVPR 2024

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion CVPR 2024

HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation CVPR 2024

GS-IR: 3D Gaussian Splatting for Inverse Rendering CVPR 2024

Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization ECCV 2024

IRGen: Generative Modeling for Image Retrieval ECCV 2024

Analytic-Splatting: Anti-Aliased 3D Gaussian Splatting via Analytic Integration ECCV 2024

Physically Plausible Color Correction for Neural Radiance Fields ECCV 2024

Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360° ECCV 2024

Neural Poisson Solver: A Universal and Continuous Framework for Natural Signal Blending ECCV 2024

RoTBench: A Multi-Level Benchmark for Evaluating the Robustness of Large Language Models in Tool Learning EMNLP 2024

EfficientRAG: Efficient Retriever for Multi-Hop Question Answering EMNLP 2024

Efficient Sequential Decision Making with Large Language Models EMNLP 2024

Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding EMNLP 2024

TransferTOD: A Generalizable Chinese Multi-Domain Task-Oriented Dialogue System with Transfer Capabilities EMNLP 2024

SciER: An Entity and Relation Extraction Dataset for Datasets, Methods, and Tasks in Scientific Documents EMNLP 2024

Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024

LONGAGENT: Achieving Question Answering for 128k-Token-Long Documents through Multi-Agent Collaboration EMNLP 2024

Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024

Unveiling and Consulting Core Experts in Retrieval-Augmented MoE-based LLMs EMNLP 2024

AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation EMNLP 2024

Reward Modeling Requires Automatic Adjustment Based on Data Quality EMNLP 2024

LongHeads: Multi-Head Attention is Secretly a Long Context Processor EMNLP 2024

Inverse-Q*: Token Level Reinforcement Learning for Aligning Large Language Models Without Preference Data EMNLP 2024

PDF-to-Tree: Parsing PDF Text Blocks into a Tree EMNLP 2024

Improving Generalization of Alignment with Human Preferences through Group Invariant Learning ICLR 2024

Non-negative Contrastive Learning ICLR 2024

$\rm E(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2024

Linear Alignment: A Closed-form Solution for Aligning Human Preferences without Tuning and Feedback ICML 2024

Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning ICML 2024

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining ICML 2024

MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization ICML 2024

Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting IJCAI 2024

HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024

Variational Field Constraint Learning for Degree of Coronary Artery Ischemia Assessment MICCAI 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024

UPPAM: A Unified Pre-training Architecture for Political Actor Modeling based on Language ACL 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation ACL 2023

Fine-Grained Face Swapping via Regional GAN Inversion CVPR 2023

Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields CVPR 2023

DINER: Disorder-Invariant Implicit Neural Representation CVPR 2023

Wide-Angle Rectification via Content-Aware Conformal Mapping CVPR 2023

Local Implicit Ray Function for Generalizable Radiance Field Representation CVPR 2023

Inverting the Imaging Process by Learning an Implicit Camera Model CVPR 2023

UV Volumes for Real-Time Rendering of Editable Free-View Human Performance CVPR 2023

Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media IJCNLP 2023

Open Set Relation Extraction via Unknown-Aware Training ACL 2023

RE-Matching: A Fine-Grained Semantic Matching Method for Zero-Shot Relation Extraction ACL 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion ACL 2023

Learning “O” Helps for Learning More: Handling the Unlabeled Entity Problem for Class-incremental NER ACL 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model EMNLP 2023

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View EMNLP 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation EMNLP 2023

Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction EMNLP 2023

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining EMNLP 2023

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation EMNLP 2023

RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023

Causal Intervention for Abstractive Related Work Generation EMNLP 2023

Loose lips sink ships: Mitigating Length Bias in Reinforcement Learning from Human Feedback EMNLP 2023

TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023

Inductive Relation Inference of Knowledge Graph Enhanced by Ontology Information EMNLP 2023

Auto Search Indexer for End-to-End Document Retrieval EMNLP 2023

Unleashing the Power of Language Models in Text-Attributed Graph EMNLP 2023

RealBehavior: A Framework for Faithfully Characterizing Foundation Models’ Human-like Behavior Mechanisms EMNLP 2023

Orthogonal Subspace Learning for Language Model Continual Learning EMNLP 2023

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement EMNLP 2023

Multiview Clickbait Detection via Jointly Modeling Subjective and Objective Preference EMNLP 2023

Are Structural Concepts Universal in Transformer Language Models? Towards Interpretable Cross-Lingual Generalization EMNLP 2023

One-Model-Connects-All: A Unified Graph Pre-Training Model for Online Community Modeling EMNLP 2023

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting NIPS 2023

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective NIPS 2023

MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers NIPS 2023

Unifying Cross-Lingual and Cross-Modal Modeling Towards Weakly Supervised Multilingual Vision-Language Pre-training ACL 2023

Actively Supervised Clustering for Open Relation Extraction ACL 2023

Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs ACL 2023

Movie101: A New Movie Understanding Benchmark ACL 2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding ACL 2023

CASN:Class-Aware Score Network for Textual Adversarial Detection ACL 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching ICCV 2023

SLAN: Self-Locator Aided Network for Vision-Language Understanding ICCV 2023

A Message Passing Perspective on Learning Dynamics of Contrastive Learning ICLR 2023

ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation SEMEVAL 2023

Temporal Tides of Emotional Resonance: A Novel Approach to Identify Mental Health on Social Media AACL 2023

A Dynamics and Task Decoupled Reinforcement Learning Architecture for High-Efficiency Dynamic Target Intercept AAAI 2023

Self-Supervised Learning for Multilevel Skeleton-Based Forgery Detection via Temporal-Causal Consistency of Actions AAAI 2023

Context-Aware Bayesian Network Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning ICML 2023

On the Generalization of Multi-modal Contrastive Learning ICML 2023

Identifiable Contrastive Learning with Automatic Feature Importance Discovery NIPS 2023

Model-enhanced Vector Index NIPS 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking NIPS 2023

ECNU_MIV at SemEval-2023 Task 1: CTIM - Contrastive Text-Image Model for Multilingual Visual Word Sense Disambiguation ACL 2023

Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications ACL 2023

On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023

Adversarial Knowledge Stimulated Contrastive Prompting for Few-shot Language Learners ACL 2023

Connectivity Patterns are Task Embeddings ACL 2023

Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023

TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023

Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023

Characterizing the Impacts of Instances on Robustness ACL 2023

A Confidence-based Partial Label Learning Model for Crowd-Annotated Named Entity Recognition ACL 2023

Farewell to Aimless Large-scale Pretraining: Influential Subset Selection for Language Model ACL 2023

Pre-training Language Model as a Multi-perspective Course Learner ACL 2023

Modeling the Q-Diversity in a Min-max Play Game for Robust Optimization ACL 2023

Towards Understanding Omission in Dialogue Summarization ACL 2023

DSRM: Boost Textual Adversarial Training with Distribution Shift Risk Minimization ACL 2023

Robust Lottery Tickets for Pre-trained Language Models ACL 2022

MINER: Improving Out-of-Vocabulary Named Entity Recognition from an Information Theoretic Perspective ACL 2022

RAPO: An Adaptive Ranking Paradigm for Bilingual Lexicon Induction EMNLP 2022

ProofInfer: Generating Proof via Iterative Hierarchical Inference EMNLP 2022

Flooding-X: Improving BERT’s Resistance to Adversarial Attacks via Loss-Restricted Fine-Tuning ACL 2022

Divide and Conquer: Text Semantic Matching with Disentangled Keywords and Intents ACL 2022

CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation ACL 2022

MovieUN: A Dataset for Movie Understanding and Narrating EMNLP 2022

Snapshot-Guided Domain Adaptation for ELECTRA EMNLP 2022

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models NIPS 2022

Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding EMNLP 2022

Unifying Event Detection and Captioning as Sequence Generation via Pre-training ECCV 2022

Neural Color Operators for Sequential Image Retouching ECCV 2022

PixelFolder: An Efficient Progressive Pixel Synthesis Network for Image Generation ECCV 2022

Calibration-Free Multi-View Crowd Counting ECCV 2022

A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing IJCAI 2022

HDR-NeRF: High Dynamic Range Neural Radiance Fields CVPR 2022

Deblur-NeRF: Neural Radiance Fields From Blurry Images CVPR 2022

Hallucinated Neural Radiance Fields in the Wild CVPR 2022

FENeRF: Face Editing in Neural Radiance Fields CVPR 2022

A Neural Corpus Indexer for Document Retrieval NIPS 2022

Read Extensively, Focus Smartly: A Cross-document Semantic Enhancement Method for Visual Documents NER COLING 2022

Decorrelate Irrelevant, Purify Relevant: Overcome Textual Spurious Correlations from a Feature Perspective COLING 2022

A Progressive Framework for Role-Aware Rumor Resolution COLING 2022

PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack COLING 2022

LFKQG: A Controlled Generation Framework with Local Fine-tuning for Question Generation over Knowledge Bases COLING 2022

Causal Intervention Improves Implicit Sentiment Analysis COLING 2022

Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks COLING 2022

How Mask Matters: Towards Theoretical Understandings of Masked Autoencoders NIPS 2022

A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck COLING 2022

Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering COLING 2022

Cross-Linguistic Syntactic Difference in Multilingual BERT: How Good is It and How Does It Affect Transfer? EMNLP 2022

Efficient Adversarial Training with Robust Early-Bird Tickets EMNLP 2022

TextFusion: Privacy-Preserving Pre-trained Model Inference via Token Fusion EMNLP 2022

Template-free Prompt Tuning for Few-shot NER NAACL 2022

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis NAACL 2022

HousE: Knowledge Graph Embedding with Householder Parameterization ICML 2022

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting AAAI 2022

A Multi-Agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning AAAI 2022

A Structure-Aware Argument Encoder for Literature Discourse Analysis COLING 2022

ECNU_ICA at SemEval-2022 Task 10: A Simple and Unified Model for Monolingual and Crosslingual Structured Sentiment Analysis SEMEVAL 2022

Communication-Efficient Actor-Critic Methods for Homogeneous Markov Games ICLR 2022

PromptBERT: Improving BERT Sentence Embeddings with Prompts EMNLP 2022

Chaos is a Ladder: A New Theoretical Understanding of Contrastive Learning via Augmentation Overlap ICLR 2022

An Edge-Enhanced Hierarchical Graph-to-Tree Network for Math Word Problem Solving EMNLP 2021

Larger-Context Tagging: When and Why Does It Work? NAACL 2021

Discrete Argument Representation Learning for Interactive Argument Pair Identification NAACL 2021

An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News NAACL 2021

MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation SEMEVAL 2021

One2Set: Generating Diverse Keyphrases as a Set IJCNLP 2021

Math Word Problem Solving with Explicit Numerical Values IJCNLP 2021

MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation ACL 2021

Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification ACL 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021

SENT: Sentence-level Distant Relation Extraction via Negative Training ACL 2021

Math Word Problem Solving with Explicit Numerical Values ACL 2021

One2Set: Generating Diverse Keyphrases as a Set ACL 2021

BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction ICLR 2021

Unsupervised Summarization for Chat Logs with Topic-Oriented Ranking and Context-Aware Auto-Encoders AAAI 2021

Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling AAAI 2021

Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021

Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data AAAI 2021

Cross-View Cross-Scene Multi-View Crowd Counting CVPR 2021

SENT: Sentence-level Distant Relation Extraction via Negative Training IJCNLP 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing IJCNLP 2021

Leveraging Argumentation Knowledge Graph for Interactive Argument Pair Identification IJCNLP 2021

MedAI at SemEval-2021 Task 10: Negation-aware Pre-training for Source-free Negation Detection Domain Adaptation IJCNLP 2021

UNBERT: User-News Matching BERT for News Recommendation IJCAI 2021

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining EMNLP 2021

A Partition Filter Network for Joint Entity and Relation Extraction EMNLP 2021

Learning Implicit Sentiment in Aspect-based Sentiment Analysis with Supervised Contrastive Pre-Training EMNLP 2021

Thinking Clearly, Talking Fast: Concept-Guided Non-Autoregressive Generation for Open-Domain Dialogue Systems EMNLP 2021

Iterative GNN-based Decoder for Question Generation EMNLP 2021

Heterogeneous Graph Neural Networks for Keyphrase Generation EMNLP 2021

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution EMNLP 2021

A Relation-Oriented Clustering Method for Open Relation Extraction EMNLP 2021

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning EMNLP 2021

Context-Aware Attention Network for Image-Text Retrieval CVPR 2020

Uncertainty-Aware Label Refinement for Sequence Labeling EMNLP 2020

Weighed Domain-Invariant Representation Learning for Cross-domain Sentiment Analysis COLING 2020

Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication COLING 2020

Modeling Evolution of Message Interaction for Rumor Resolution COLING 2020

Tasty Burgers, Soggy Fries: Probing Aspect Robustness in Aspect-Based Sentiment Analysis EMNLP 2020

Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study AAAI 2020

Neural Question Generation with Answer Pivot AAAI 2020

RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP 2020

A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving EMNLP 2020

PathQG: Neural Question Generation from Facts EMNLP 2020

Toward Recognizing More Entity Types in NER: An Efficient Implementation using Only Entity Lexicons EMNLP 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition IJCAI 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NIPS 2020

ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion AAAI 2020

Storytelling from an Image Stream Using Scene Graphs AAAI 2020

Modeling Probabilistic Commitments for Maintenance Is Inherently Harder than for Achievement AAAI 2020

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with K-Means Features AAAI 2020

3D Crowd Counting via Multi-View Fusion with 3D Gaussian Kernels AAAI 2020

Data Augmentation for Code-Switch Language Modeling by Fusing Multiple Text Generation Methods INTERSPEECH 2020

Spatio-Temporal Graph Structure Learning for Traffic Forecasting AAAI 2020

Succinct and Robust Multi-Agent Communication With Temporal Message Control NIPS 2020

Simplify the Usage of Lexicon in Chinese NER ACL 2020

A Lexicon-Based Graph Neural Network for Chinese NER EMNLP 2019

Asynchronous Deep Interaction Network for Natural Language Inference EMNLP 2019

A Multi-Task Learning Framework for Extracting Bacteria Biotope Information EMNLP 2019

GSTNet: Global Spatial-Temporal Network for Traffic Flow Prediction IJCAI 2019

Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning ACL 2019

CNN-Based Chinese NER with Lexicon Rethinking IJCAI 2019

Learning Task-Specific Representation for Novel Words in Sequence Labeling IJCAI 2019

Wide-Area Crowd Counting via Ground-Plane Density Maps and Multi-View Fusion CNNs CVPR 2019

Cooperative Multimodal Approach to Depression Detection in Twitter AAAI 2019

Long Short-Term Memory with Dynamic Skip Connections AAAI 2019

Learning to Communicate and Solve Visual Blocks-World Tasks AAAI 2019

Ray-Space Projection Model for Light Field Camera CVPR 2019

Posterior-regularized REINFORCE for Instance Selection in Distant Supervision NAACL 2019

Asynchronous Deep Interaction Network for Natural Language Inference IJCNLP 2019

A Lexicon-Based Graph Neural Network for Chinese NER IJCNLP 2019

Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control NIPS 2019

Trainable Undersampling for Class-Imbalance Learning AAAI 2019

Dynamic Feature Learning for Partial Face Recognition CVPR 2018

Transferring from Formal Newswire Domain with Hypernet for Twitter POS Tagging EMNLP 2018

Cross-Domain Sentiment Classification with Target Domain Specific Information ACL 2018

Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model COLING 2018

Neural Networks Incorporating Unlabeled and Partially-labeled Data for Cross-domain Chinese Word Segmentation IJCAI 2018

A Lexicon-Based Supervised Attention Model for Neural Sentiment Analysis COLING 2018

Mention Recommendation for Twitter with End-to-end Memory Network IJCAI 2017

Large-scale Opinion Relation Extraction with Distantly Supervised Neural Network EACL 2017

Part-of-Speech Tagging for Twitter with Adversarial Neural Networks EMNLP 2017

4D Light Field Superpixel and Segmentation CVPR 2017

A Learning Error Analysis for Structured Prediction with Approximate Inference NIPS 2017

Hashtag Recommendation for Multimodal Microblog Using Co-Attention Network IJCAI 2017

The Influence on Realization and Perception of Lexical Tones from Affricate’s Aspiration INTERSPEECH 2017

Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016

Commitment Semantics for Sequential Decision Making under Reward Uncertainty IJCAI 2016

Keyphrase Extraction Using Deep Recurrent Neural Networks on Twitter EMNLP 2016

Generating Abbreviations for Chinese Named Entities Using Recurrent Neural Network with Dynamic Dictionary EMNLP 2016

Hashtag Recommendation Using Attention-Based Convolutional Neural Network IJCAI 2016

Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network ACL 2016

Hashtag Recommendation Using Dirichlet Process Mixture Models Incorporating Types of Hashtags EMNLP 2015

\ell_1,p-Norm Regularization: Error Bounds and Convergence Rate Analysis of First-Order Methods ICML 2015

100+ Times Faster Weighted Median Filter (WMF) CVPR 2014

Time-aware Personalized Hashtag Recommendation on Social Media COLING 2014

A Generative Model for Identifying Target Companies of Microblogs COLING 2014

Optimality of Graphlet Screening in High Dimensional Variable Selection JMLR 2014

Discourse Level Explanatory Relation Extraction from Product Reviews Using First-Order Logic EMNLP 2013

FudanNLP: A Toolkit for Chinese Natural Language Processing ACL 2013

Detecting Spammers in Community Question Answering IJCNLP 2013

Chinese Named Entity Abbreviation Generation Using First-Order Logic IJCNLP 2013

Understanding the Semantic Intent of Natural Language Query IJCNLP 2013

Learning Topical Translation Model for Microblog Hashtag Suggestion IJCAI 2013

Automatic Hashtag Recommendation for Microblogs using Topic-Specific Translation Model COLING 2012

Efficient Near-Duplicate Detection for Q&A Forum IJCNLP 2011

Structural Opinion Mining for Graph-based Sentiment Representation EMNLP 2011

Keyphrase Extraction from Online News Using Binary Integer Programming IJCNLP 2011

Joint Training and Decoding Using Virtual Nodes for Cascaded Segmentation and Tagging Tasks EMNLP 2010

2D Trie for Fast Parsing COLING 2010

Phrase Dependency Parsing for Opinion Mining EMNLP 2009

A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces ACL 2006

A Progressive Feature Selection Algorithm for Ultra Large Feature Spaces COLING 2006

A Flexible Conversational Dialog System for MP3 Player EMNLP 2005

Multiple-Instance Learning of Real-Valued Data JMLR 2002