Gang Chen

77 papers · 2017–2026 · 10 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (8) 🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🏠 Conference Loyalist (22) 🔬 Deep Specialist (10) 👑 Triple Crown 🤝 Dynamic Duo (28) 🏆 Grand Slam 🗃️ Keyword Collector (349) ⚡ Prolific Year (18) 🚀 Conference Pioneer 💎 Century Club (72) 🔥 Unstoppable (7) 📈 Trend Setter

Conferences

AAAI (22) IJCAI (13) EMNLP (10) ACL (9) ICML (6) NIPS (6) ICLR (5) CVPR (3) ICCV (2) COLING (1)

Top co-authors

Haobo Wang (29) Junbo Zhao (24) Sai Wu (12) Ke Chen (11) Tianlei Hu (10) Lidan Shou (10) Dongxiang Zhang (9) Lei Feng (8) Ruixuan Xiao (6) Weiwei Liu (6)

Research topics

Techniques (1) Applications (1)

Keywords

large language model (14) neural network (4) domain adaptation (4) knowledge distillation (4) representation learning (4) semi-supervised learning (4) feature alignment (3) active learning (3) text classification (3) label correlation (3) question answering (3) model compression (3) weakly supervised learning (3) partial label learning (3) metric learning (2) benchmark evaluation (2) zero-shot learning (2) catastrophic forgetting (2) deep reinforcement learning (2) continual learning (2)

Papers

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior AAAI 2026

DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling AAAI 2026

Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning AAAI 2026

Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis AAAI 2026

Exploring Surround-View Fisheye Camera 3D Object Detection AAAI 2026

Towards Robust Incremental Learning Under Ambiguous Supervision IJCAI 2025

M2Flow: A Motion Information Fusion Framework for Enhanced Unsupervised Optical Flow Estimation in Autonomous Driving AAAI 2025

ADBA: Approximation Decision Boundary Approach for Black-Box Adversarial Attacks AAAI 2025

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning AAAI 2025

CogSQL: A Cognitive Framework for Enhancing Large Language Models in Text-to-SQL Translation AAAI 2025

Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering ACL 2025

Document Segmentation Matters for Retrieval-Augmented Generation ACL 2025

T2DR: A Two-Tier Deficiency-Resistant Framework for Incomplete Multimodal Learning ACL 2025

OmniStereo: Real-time Omnidireactional Depth Estimation with Multiview Fisheye Cameras CVPR 2025

CYCLE-INSTRUCT: Fully Seed-Free Instruction Tuning via Dual Self-Training and Cycle Consistency EMNLP 2025

SpecVLM: Enhancing Speculative Decoding of Video LLMs via Verifier-Guided Token Pruning EMNLP 2025

GATEAU: Selecting Influential Samples for Long Context Alignment EMNLP 2025

Ensembling Prompting Strategies for Zero-Shot Hierarchical Text Classification with Large Language Models EMNLP 2025

LongTableBench: Benchmarking Long-Context Table Reasoning across Real-World Formats and Domains EMNLP 2025

Knowledge Distillation for Learned Image Compression ICCV 2025

Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL ICLR 2025

Graph Assisted Offline-Online Deep Reinforcement Learning for Dynamic Workflow Scheduling ICLR 2025

TtBA: Two-third Bridge Approach for Decision-Based Adversarial Attack ICML 2025

In-Context Adaptation to Concept Drift for Learned Database Operations ICML 2025

A Timestep-Adaptive Frequency-Enhancement Framework for Diffusion-based Image Super-Resolution IJCAI 2025

POLO: An LLM-Powered Project-Level Code Performance Optimization Framework IJCAI 2025

Advancing Community Detection with Graph Convolutional Neural Networks: Bridging Topological and Attributive Cohesion IJCAI 2025

GATES: Cost-aware Dynamic Workflow Scheduling via Graph Attention Networks and Evolution Strategy IJCAI 2025

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions IJCAI 2025

Sampling-Resilient Multi-Object Tracking AAAI 2024

CARAT: Contrastive Feature Reconstruction and Aggregation for Multi-Modal Multi-Label Emotion Recognition AAAI 2024

Variational Hybrid-Attention Framework for Multi-Label Few-Shot Aspect Category Detection AAAI 2024

On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey ACL 2024

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation CVPR 2024

Targeted Representation Alignment for Open-World Semi-Supervised Learning CVPR 2024

Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding ACL 2024

Learning Geometry-Aware Representations for New Intent Discovery ACL 2024

Embedding and Gradient Say Wrong: A White-Box Method for Hallucination Detection EMNLP 2024

HyperLoRA: Efficient Cross-task Generalization via Constrained Low-Rank Adapters Generation EMNLP 2024

Real-time Stereo-based 3D Object Detection for Streaming Perception NIPS 2024

Data Contamination Calibration for Black-box LLMs ACL 2024

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems ICLR 2024

Enhancing LLM Reasoning via Vision-Augmented Prompting NIPS 2024

Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild NIPS 2024

Unbiased Multi-Label Learning from Crowdsourced Annotations ICML 2024

Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification AAAI 2024

A Separation and Alignment Framework for Black-Box Domain Adaptation AAAI 2024

Debiased and Denoised Entity Recognition from Distant Supervision NIPS 2023

Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023

Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering ICLR 2023

Effective Continual Learning for Text Classification with Lightweight Snapshots AAAI 2023

Neural TSP Solver with Progressive Distillation AAAI 2023

TLM: Token-Level Masking for Transformers EMNLP 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models EMNLP 2023

Unsupervised Hierarchical Domain Adaptation for Adverse Weather Optical Flow AAAI 2023

Human-in-the-Loop Vehicle ReID AAAI 2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation NIPS 2023

Ensemble Reinforcement Learning in Continuous Spaces -- A Hierarchical Multi-Step Approach for Policy Training IJCAI 2023

Deep Partial Multi-Label Learning with Graph Disambiguation IJCAI 2023

ProMix: Combating Label Noise via Maximizing Clean Sample Utility IJCAI 2023

Towards Controlled Data Augmentations for Active Learning ICML 2023

ModelGiF: Gradient Fields for Model Functional Distance ICCV 2023

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning NIPS 2022

Incorporating Instructional Prompts into a Unified Generative Framework for Joint Multiple Intent Detection and Slot Filling COLING 2022

PiCO: Contrastive Label Disambiguation for Partial Label Learning ICLR 2022

SkipBERT: Efficient Inference with Shallow Layer Skipping ACL 2022

Joining datasets via data augmentation in the label space for neural networks ICML 2021

Effective Slot Filling via Weakly-Supervised Dual-Model Learning AAAI 2021

Segment, Mask, and Predict: Augmenting Chinese Word Segmentation with Self-Supervision EMNLP 2021

Pyramid: A Layered Model for Nested Named Entity Recognition ACL 2020

Learning From Multi-Dimensional Partial Labels IJCAI 2020

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification AAAI 2020

Collaboration Based Multi-Label Propagation for Fraud Detection IJCAI 2020

Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification AAAI 2019

CAMO: A Collaborative Ranking Method for Content Based Recommendation AAAI 2019

Discriminative and Correlative Partial Multi-Label Learning IJCAI 2019

Deep Supervised Hashing with Nonlinear Projections IJCAI 2017