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Chen Liang

60 papers · 2012–2025 · 17 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌍 Conference Polyglot (17) πŸ† Grand Slam πŸ† Keyword Champion 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (238) ❓ The Questioner (2) ⚑ Prolific Year (11) πŸš€ Conference Pioneer πŸ’Ž Century Club (60) πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

NIPS (7) ICML (7) EMNLP (7) ACL (6) ICLR (5) AAAI (5) CVPR (4) NAACL (4) ICCV (3) IJCNLP (3) COLING (2) IJCAI (2) ECCV (1) AACL (1) RSS (1) SEMEVAL (1) WACV (1)

Top co-authors

Tuo Zhao (16) Weizhu Chen (13) Pengcheng He (12) Haoming Jiang (9) Simiao Zuo (9) Xiaodong Liu (6) Yi Yang (6) C. Lee Giles (5) Wenguan Wang (5) Qingru Zhang (4)

Research topics

Machine Learning (1)

Keywords

model compression (8) knowledge distillation (4) pre-trained language model (4) reinforcement learning (3) graph neural network (3) language model (3) neural machine translation (3) attention mechanism (3) neural architecture search (3) semantic segmentation (3) semantic parsing (3) evolutionary algorithm (3) lottery ticket hypothesis (2) mixture of expert (2) semi-supervised learning (2) neural network pruning (2) generative model (2) sparse reward (2) emotion recognition (2) natural language understanding (2)

Papers

Towards Human-like Virtual Beings: Simulating Human Behavior in 3D Scenes ICCV 2025
Efficiently Editing Mixture-of-Experts Models with Compressed Experts EMNLP 2025
Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling ICLR 2025
Coherence-based Approximate Derivatives via Web of Affine Spaces Optimization RSS 2025
Dual Reciprocal Learning of Language-based Human Motion Understanding and Generation ICCV 2025
Distribution Optimization under Gaussian Hypothesis for Domain Adaptive Semantic Segmentation WACV 2025
IDEA-Bench: How Far are Generative Models from Professional Designing? CVPR 2025
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems AAAI 2024
PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture ECCV 2024
Communication Efficient Distributed Training with Distributed Lion NIPS 2024
Non-confusing Generation of Customized Concepts in Diffusion Models ICML 2024
How Does the Disclosure of AI Assistance Affect the Perceptions of Writing? EMNLP 2024
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models ICLR 2024
Less is More: Task-aware Layer-wise Distillation for Language Model Compression ICML 2023
Symbolic Discovery of Optimization Algorithms NIPS 2023
HomoDistil: Homotopic Task-Agnostic Distillation of Pre-trained Transformers ICLR 2023
The Effects of AI Biases and Explanations on Human Decision Fairness: A Case Study of Bidding in Rental Housing Markets IJCAI 2023
Module-wise Adaptive Distillation for Multimodality Foundation Models NIPS 2023
Document-Level Event Argument Extraction With a Chain Reasoning Paradigm ACL 2023
Novel Slot Detection With an Incremental Setting EMNLP 2023
Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation ICCV 2023
LoSparse: Structured Compression of Large Language Models based on Low-Rank and Sparse Approximation ICML 2023
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models ICLR 2022
GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models NIPS 2022
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation AACL 2022
CAMERO: Consistency Regularized Ensemble of Perturbed Language Models with Weight Sharing ACL 2022
Visual Abductive Reasoning CVPR 2022
PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance ICML 2022
S+PAGE: A Speaker and Position-Aware Graph Neural Network Model for Emotion Recognition in Conversation IJCNLP 2022
MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation NAACL 2022
Self-Training with Differentiable Teacher NAACL 2022
ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing NAACL 2022
ZHIXIAOBAO at SemEval-2022 Task 10: Apporoaching Structured Sentiment with Graph Parsing SEMEVAL 2022
Token-wise Curriculum Learning for Neural Machine Translation EMNLP 2021
A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments AAAI 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization IJCNLP 2021
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach EMNLP 2021
Global Fusion Attention for Vision and Language Understanding (Student Abstract) AAAI 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization ACL 2021
VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild CVPR 2021
ARCH: Efficient Adversarial Regularized Training with Caching EMNLP 2021
Compositional Generalization via Neural-Symbolic Stack Machines NIPS 2020
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ICLR 2020
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing ACL 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch ICML 2020
PyGlove: Symbolic Programming for Automated Machine Learning NIPS 2020
The Evolved Transformer ICML 2019
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document Summarization AAAI 2019
Learning to Generalize from Sparse and Underspecified Rewards ICML 2019
Robust Online Matching with User Arrival Distribution Drift AAAI 2019
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing NIPS 2018
Distractor Generation for Multiple Choice Questions Using Learning to Rank NAACL 2018
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild CVPR 2017
Neural Symbolic Machines: Learning Semantic Parsers on Freebase with Weak Supervision ACL 2017
Learning Paraphrase Identification with Structural Alignment IJCAI 2016
Storybase: Towards Building a Knowledge Base for News Events IJCNLP 2015
Storybase: Towards Building a Knowledge Base for News Events ACL 2015
Measuring Prerequisite Relations Among Concepts EMNLP 2015
Topical Word Trigger Model for Keyphrase Extraction COLING 2012
Expert Finding for Microblog Misinformation Identification COLING 2012