Chen Tang
45 papers · 2020–2026 · 15 conferences · across top CS/AI conferences
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Conferences
ACL (8)
EMNLP (7)
ECCV (5)
AAAI (4)
CORL (4)
CVPR (4)
AACL (2)
ICCV (2)
IJCNLP (2)
NIPS (2)
COLING (1)
ICLR (1)
ICML (1)
IJCAI (1)
NSDI (1)
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Research topics
Keywords
text generation
(6)
story generation
(5)
large language model
(5)
graph neural network
(4)
model compression
(4)
knowledge graph
(3)
contrastive learning
(3)
semantic representation
(3)
event planning
(2)
representation learning
(2)
event graph
(2)
offline reinforcement learning
(2)
biomedical text
(2)
narrative coherence
(2)
mixture of expert
(2)
dialogue evaluation
(2)
neural network optimization
(2)
neural architecture search
(2)
model quantization
(2)
language model
(2)
Papers
AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models
AAAI 2026
Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching
ACL 2026
HiEdit: Lifelong Model Editing with Hierarchical Reinforcement Learning
ACL 2026
WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving
ICML 2025
DFMU: Distribution-based Framework for Modeling Aleatoric Uncertainty in Multimodal Sentiment Analysis
IJCAI 2025
Model Lineage Closeness Analysis
AAAI 2025
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
AAAI 2025
Deep Reinforcement Learning for Robotics: A Survey of Real-World Successes
AAAI 2025
Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
EMNLP 2025
DICE: Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
ICCV 2025
Residual-MPPI: Online Policy Customization for Continuous Control
ICLR 2025
Language Constrained Multimodal Hyper Adapter For Many-to-Many Multimodal Summarization
ACL 2025
RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations
ACL 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
UniSTD: Towards Unified Spatio-Temporal Learning across Diverse Disciplines
CVPR 2025
Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
CVPR 2025
SocialNav-SUB: Benchmarking VLMs for Scene Understanding in Social Robot Navigation
CORL 2025
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention
CORL 2025
ComposableNav: Instruction-Following Navigation in Dynamic Environments via Composable Diffusion
CORL 2025
KCS: Diversify Multi-hop Question Generation with Knowledge Composition Sampling
EMNLP 2025
Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
EMNLP 2025
URG: A Unified Ranking and Generation Method for Ensembling Language Models
ACL 2024
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
ACL 2024
Effective Distillation of Table-based Reasoning Ability from LLMs
COLING 2024
Retraining-Free Model Quantization via One-Shot Weight-Coupling Learning
CVPR 2024
Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation
ECCV 2024
MesonGS: Post-training Compression of 3D Gaussians via Efficient Attribute Transformation
ECCV 2024
Enhancing Biomedical Lay Summarisation with External Knowledge Graphs
EMNLP 2023
Residual Q-Learning: Offline and Online Policy Customization without Value
NIPS 2023
Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation
ACL 2023
TwistList: Resources and Baselines for Tongue Twister Generation
ACL 2023
ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices
ICCV 2023
Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers
EMNLP 2023
Social-aware Sparse Attention Network for Session-based Social Recommendation
EMNLP 2022
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
AACL 2022
NGEP: A Graph-based Event Planning Framework for Story Generation
AACL 2022
Mixed-Precision Neural Network Quantization via Learned Layer-Wise Importance
ECCV 2022
PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map
ECCV 2022
EtriCA: Event-Triggered Context-Aware Story Generation Augmented by Cross Attention
EMNLP 2022
Improving Chinese Story Generation via Awareness of Syntactic Dependencies and Semantics
IJCNLP 2022
NGEP: A Graph-based Event Planning Framework for Story Generation
IJCNLP 2022
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
NIPS 2021
Dealing with the Unknown: Pessimistic Offline Reinforcement Learning
CORL 2021
A High-Speed Load-Balancer Design with Guaranteed Per-Connection-Consistency
NSDI 2020
High-quality Single-model Deep Video Compression with Frame-Conv3D and Multi-frame Differential Modulation
ECCV 2020