← Authors

Peng Li

160 papers · 2009–2026 · 19 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (24) 🐝 Cross-Pollinator (6) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (19) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (41) πŸ† Grand Slam 🀝 Dynamic Duo (57) πŸ”¬ Deep Specialist (20) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (56) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ’Ž Century Club (157) ⚑ Prolific Year (15) πŸ”₯ Unstoppable (10) ❓ The Questioner (3)

Conferences

ACL (41) EMNLP (36) AAAI (14) COLING (12) IJCNLP (10) CVPR (7) NIPS (6) IJCAI (6) ICML (6) NAACL (5) ICCV (4) ICLR (2) INTERSPEECH (2) ACML (2) AACL (2) SEMEVAL (2) ECCV (1) CORL (1) JMLR (1)

Top co-authors

Jie Zhou (57) Yang Liu (47) Maosong Sun (44) Yankai Lin (40) Zhiyuan Liu (33) Xu Han (21) Xu Sun (12) Fandong Meng (11) Ziyue Wang (10) Fuwen Luo (9)

Keywords

large language model (19) pre-trained language model (15) knowledge distillation (11) relation extraction (10) multimodal large language model (8) neural machine translation (8) named entity recognition (7) graph neural network (7) model compression (7) domain adaptation (7) continual learning (6) transfer learning (6) language model (6) benchmark evaluation (6) information extraction (6) catastrophic forgetting (5) contrastive learning (5) few-shot learning (5) representation learning (5) adversarial training (4)

Papers

AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers AAAI 2026
Khan-GCL: Kolmogorov–Arnold Network Based Graph Contrastive Learning with Hard Negatives AAAI 2026
Visual-Friendly Concept Protection via Selective Adversarial Perturbations AAAI 2026
MUCAR: Benchmarking Multilingual Cross-Modal Ambiguity Resolution for Multimodal Large Language Models EMNLP 2025
ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models ACL 2025
Perspective Transition of Large Language Models for Solving Subjective Tasks ACL 2025
G2: Guided Generation for Enhanced Output Diversity in LLMs EMNLP 2025
Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion ICML 2025
CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models CVPR 2025
AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization CVPR 2025
Align3R: Aligned Monocular Depth Estimation for Dynamic Videos CVPR 2025
PSHuman: Photorealistic Single-image 3D Human Reconstruction using Cross-Scale Multiview Diffusion and Explicit Remeshing CVPR 2025
Leveraging Language-based Representations for Better Solving Symbol-related Problems with Large Language Models COLING 2025
Scaffolding Coordinates to Promote Vision-Language Coordination in Large Multi-Modal Models COLING 2025
Rethinking Long Context Generation from the Continual Learning Perspective COLING 2025
Gradient-guided Attention Map Editing: Towards Efficient Contextual Hallucination Mitigation NAACL 2025
Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective ICLR 2025
MASTER: A Multi-granularity Invariant Structure Clustering Scheme for Multi-view Clustering IJCAI 2025
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency IJCAI 2025
LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents ICCV 2025
Adversarial Robust Memory-Based Continual Learner ICCV 2025
How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in An Extensible Escape Game ICCV 2025
PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models EMNLP 2025
DongbaMIE: A Multimodal Information Extraction Dataset for Evaluating Semantic Understanding of Dongba Pictograms EMNLP 2025
Reducing Speech Distortion and Artifacts for Speech Enhancement by Loss Function INTERSPEECH 2024
On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition ECCV 2024
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning ACML 2024
Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization ACL 2024
ToolRerank: Adaptive and Hierarchy-Aware Reranking for Tool Retrieval COLING 2024
Browse and Concentrate: Comprehending Multimodal Content via Prior-LLM Context Fusion ACL 2024
Model Composition for Multimodal Large Language Models ACL 2024
Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language Models ACL 2024
Budget-Constrained Tool Learning with Planning ACL 2024
PANDA: Preference Adaptation for Enhancing Domain-Specific Abilities of LLMs ACL 2024
StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models ACL 2024
Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation CVPR 2024
Enhancing Multilingual Capabilities of Large Language Models through Self-Distillation from Resource-Rich Languages ACL 2024
EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models CVPR 2024
Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models ICML 2024
High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling ICML 2024
Set Prediction Guided by Semantic Concepts for Diverse Video Captioning AAAI 2024
Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach AAAI 2024
FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024
DEEM: Dynamic Experienced Expert Modeling for Stance Detection COLING 2024
CODIS: Benchmarking Context-dependent Visual Comprehension for Multimodal Large Language Models ACL 2024
Multi-agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots CORL 2024
Era3D: High-Resolution Multiview Diffusion using Efficient Row-wise Attention NIPS 2024
Position: Towards Unified Alignment Between Agents, Humans, and Environment ICML 2024
Self-Knowledge Guided Retrieval Augmentation for Large Language Models EMNLP 2023
AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution AAAI 2023
AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes AAAI 2023
Exploiting Contextual Objects and Relations for 3D Visual Grounding NIPS 2023
Continual Knowledge Distillation for Neural Machine Translation ACL 2023
Weakly Supervised Vision-and-Language Pre-training with Relative Representations ACL 2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models ACL 2023
Hard Sample Aware Prompt-Tuning ACL 2023
Bridging the Gap between Decision and Logits in Decision-based Knowledge Distillation for Pre-trained Language Models ACL 2023
An Extensible Plug-and-Play Method for Multi-Aspect Controllable Text Generation ACL 2023
Knowledge Transfer in Incremental Learning for Multilingual Neural Machine Translation ACL 2023
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023
Prompt-Guided Retrieval Augmentation for Non-Knowledge-Intensive Tasks ACL 2023
Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting CVPR 2023
Failures Pave the Way: Enhancing Large Language Models through Tuning-free Rule Accumulation EMNLP 2023
Revisiting Source Context in Nearest Neighbor Machine Translation EMNLP 2023
Learn and Consolidate: Continual Adaptation for Zero-Shot and Multilingual Neural Machine Translation EMNLP 2023
Filling the Image Information Gap for VQA: Prompting Large Language Models to Proactively Ask Questions EMNLP 2023
Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization ICLR 2023
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023
MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022
ELLE: Efficient Lifelong Pre-training for Emerging Data ACL 2022
Do Pre-trained Models Benefit Knowledge Graph Completion? A Reliable Evaluation and a Reasonable Approach ACL 2022
I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection AAAI 2022
Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification IJCAI 2022
A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-Like Navigation IJCAI 2022
Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task EMNLP 2022
Knowledge Inheritance for Pre-trained Language Models NAACL 2022
Fully Hyperbolic Neural Networks ACL 2022
A Simple but Effective Pluggable Entity Lookup Table for Pre-trained Language Models ACL 2022
Packed Levitated Marker for Entity and Relation Extraction ACL 2022
Unsupervised Dependency Graph Network ACL 2022
MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction EMNLP 2022
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models EMNLP 2022
A Template-based Method for Constrained Neural Machine Translation EMNLP 2022
Entropy-Based Vocabulary Substitution for Incremental Learning in Multilingual Neural Machine Translation EMNLP 2022
End-to-End Unsupervised Vision-and-Language Pre-training with Referring Expression Matching EMNLP 2022
From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models EMNLP 2022
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation ACL 2022
Event Detection with Dual Relational Graph Attention Networks COLING 2022
On Transferability of Prompt Tuning for Natural Language Processing NAACL 2022
RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models EMNLP 2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction ACL 2021
Deep Reinforcement Learning for Multi-contact Motion Planning of Hexapod Robots IJCAI 2021
Unsupervised Knowledge Selection for Dialogue Generation ACL 2021
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation ACL 2021
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog ACL 2021
CLEVE: Contrastive Pre-training for Event Extraction ACL 2021
Rethinking Stealthiness of Backdoor Attack against NLP Models ACL 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning ACL 2021
Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction IJCNLP 2021
Unsupervised Knowledge Selection for Dialogue Generation IJCNLP 2021
Multimodal Incremental Transformer with Visual Grounding for Visual Dialogue Generation IJCNLP 2021
GoG: Relation-aware Graph-over-Graph Network for Visual Dialog IJCNLP 2021
Topology-Imbalance Learning for Semi-Supervised Node Classification NIPS 2021
Dynamic Knowledge Distillation for Pre-trained Language Models EMNLP 2021
CodRED: A Cross-Document Relation Extraction Dataset for Acquiring Knowledge in the Wild EMNLP 2021
CascadeBERT: Accelerating Inference of Pre-trained Language Models via Calibrated Complete Models Cascade EMNLP 2021
WeChat Neural Machine Translation Systems for WMT21 EMNLP 2021
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks ICML 2021
Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information AAAI 2021
Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework AAAI 2021
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning IJCNLP 2021
CLEVE: Contrastive Pre-training for Event Extraction IJCNLP 2021
Rethinking Stealthiness of Backdoor Attack against NLP Models IJCNLP 2021
Context Tracking Network: Graph-based Context Modeling for Implicit Discourse Relation Recognition NAACL 2021
Bridging the Gap between Prior and Posterior Knowledge Selection for Knowledge-Grounded Dialogue Generation EMNLP 2020
MAVEN: A Massive General Domain Event Detection Dataset EMNLP 2020
Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View AAAI 2020
Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks NIPS 2020
Learning to Recover from Multi-Modality Errors for Non-Autoregressive Neural Machine Translation ACL 2020
Continual Relation Learning via Episodic Memory Activation and Reconsolidation ACL 2020
Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos AAAI 2020
Hierarchical Knowledge Squeezed Adversarial Network Compression AAAI 2020
WeChat Neural Machine Translation Systems for WMT20 EMNLP 2020
Coreferential Reasoning Learning for Language Representation EMNLP 2020
Disentangle-based Continual Graph Representation Learning EMNLP 2020
DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog AAAI 2020
Learning from Context or Names? An Empirical Study on Neural Relation Extraction EMNLP 2020
More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction AACL 2020
Neural Gibbs Sampling for Joint Event Argument Extraction AACL 2020
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification IJCNLP 2019
Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks NIPS 2019
DocRED: A Large-Scale Document-Level Relation Extraction Dataset ACL 2019
Towards Fine-grained Text Sentiment Transfer ACL 2019
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation ACL 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning EMNLP 2019
HMEAE: Hierarchical Modular Event Argument Extraction EMNLP 2019
FewRel 2.0: Towards More Challenging Few-Shot Relation Classification EMNLP 2019
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer IJCAI 2019
NumNet: Machine Reading Comprehension with Numerical Reasoning IJCNLP 2019
HMEAE: Hierarchical Modular Event Argument Extraction IJCNLP 2019
Adversarial Training for Weakly Supervised Event Detection NAACL 2019
Hierarchical Relation Extraction with Coarse-to-Fine Grained Attention EMNLP 2018
Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks NIPS 2018
Attentive Path Combination for Knowledge Graph Completion ACML 2017
Ensemble Learning for Countermeasure of Audio Replay Spoofing Attack in ASVspoof2017 INTERSPEECH 2017
Relation Extraction with Multi-instance Multi-label Convolutional Neural Networks COLING 2016
Multi-Granularity Chinese Word Embedding EMNLP 2016
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation SEMEVAL 2016
UTA DLNLP at SemEval-2016 Task 12: Deep Learning Based Natural Language Processing System for Clinical Information Identification from Clinical Notes and Pathology Reports SEMEVAL 2016
A Neural Reordering Model for Phrase-based Translation COLING 2014
Recursive Autoencoders for ITG-Based Translation EMNLP 2013
Similarity Metric Learning for Face Recognition ICCV 2013
A Beam Search Algorithm for ITG Word Alignment COLING 2012
Distance Metric Learning with Eigenvalue Optimization JMLR 2012
Generating Aspect-oriented Multi-Document Summarization with Event-aspect model EMNLP 2011
Generating Templates of Entity Summaries with an Entity-Aspect Model and Pattern Mining ACL 2010
Fast-Champollion: A Fast and Robust Sentence Alignment Algorithm COLING 2010
Using Clustering to Improve Retrieval Evaluation without Relevance Judgments COLING 2010
Clustering to Find Exemplar Terms for Keyphrase Extraction EMNLP 2009