Chao Deng

Orcid: 0000-0003-4971-930X

Affiliations:
  • China Mobile Research Institute, Beijing, China


According to our database1, Chao Deng authored at least 93 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
JT-SAFE-V2: Safety-by-Design Foundation Model with World-Context Data.
CoRR, May, 2026

GeoTikzBridge: Advancing Multimodal Code Generation for Geometric Perception and Reasoning.
CoRR, March, 2026

CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World Cases.
CoRR, March, 2026

Align to the Pivot: Dual Alignment with Self-Feedback for Multilingual Math Reasoning.
CoRR, January, 2026

Pythia-RAG: Retrieval-augmented generation over a unified multimodal knowledge graph for enhanced QA.
Knowl. Based Syst., 2026

Self-Correction Distillation for Structured Data Question Answering.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
DisCo-Speech: Controllable Zero-Shot Speech Generation with A Disentangled Speech Codec.
CoRR, December, 2025

JT-DA: Enhancing Data Analysis with Tool-Integrated Table Reasoning Large Language Models.
CoRR, December, 2025

JT-Safe: Intrinsically Enhancing the Safety and Trustworthiness of LLMs.
CoRR, October, 2025

Teaching Audio Models to Reason: A Unified Framework for Source- and Layer-wise Distillation.
CoRR, September, 2025

HarmoniFuse: A Component-Selective and Prompt-Adaptive Framework for Multi-Task Speech Language Modeling.
CoRR, September, 2025

DeCodec: Rethinking Audio Codecs as Universal Disentangled Representation Learners.
CoRR, September, 2025

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference.
CoRR, September, 2025

Building Accurate and Interpretable Online Classifiers on Edge Devices.
IEEE Trans. Parallel Distributed Syst., August, 2025

JT-Math: A Multi-Stage Framework for Advanced Mathematical Reasoning in Large Language Models.
CoRR, July, 2025

Predicting Mobile App Usage With Context-Aware Dynamic Hypergraphs.
IEEE Trans. Mob. Comput., June, 2025

TReB: A Comprehensive Benchmark for Evaluating Table Reasoning Capabilities of Large Language Models.
CoRR, June, 2025

Uni-AdaFocus: Spatial-Temporal Dynamic Computation for Video Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2025

Palette of Language Models: A Solver for Controlled Text Generation.
CoRR, March, 2025

Ticktack : Long Span Temporal Alignment of Large Language Models Leveraging Sexagenary Cycle Time Expression.
CoRR, March, 2025

SafeDialBench: A Fine-Grained Safety Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks.
CoRR, February, 2025

Palette of Language Models: A Solver for Controlled Text Generation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Large Language Models Are Cross-Lingual Knowledge-Free Reasoners.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Knowledge-enhanced Hierarchical Graph Transfer Learning Framework for Large-scale Mobile Traffic Prediction.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Privacy-Preserving Speaker Verification via End-to-End Secure Representation Learning.
Proceedings of the 26th Annual Conference of the International Speech Communication Association, 2025

STNet: Spatial-Temporal Transformers are Effective for Multivariate Time Series Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2025

LOIRE: LifelOng learning on Incremental data via pre-trained language model gRowth Efficiently.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

InjectTST: Injecting Global Information into Independent Channels for Long Time Series Forecasting.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Understanding LLMs' Cross-Lingual Context Retrieval: How Good It Is And Where It Comes From.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Self-attention-based Graph-of-Thought for Math Problem Solving.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

MoE-LPR: Multilingual Extension of Large Language Models Through Mixture-of-Experts with Language Priors Routing.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
KGDA: A Knowledge Graph Driven Decomposition Approach for Cellular Traffic Prediction.
ACM Trans. Intell. Syst. Technol., December, 2024

SwinFace: A Multi-Task Transformer for Face Recognition, Expression Recognition, Age Estimation and Attribute Estimation.
IEEE Trans. Circuits Syst. Video Technol., April, 2024

Depth Map Denoising Network and Lightweight Fusion Network for Enhanced 3D Face Recognition.
Pattern Recognit., January, 2024

Fine-Grained Recognition With Learnable Semantic Data Augmentation.
IEEE Trans. Image Process., 2024

PolySpeech: Exploring Unified Multitask Speech Models for Competitiveness with Single-task Models.
CoRR, 2024

Large Language Models are Good Spontaneous Multilingual Learners: Is the Multilingual Annotated Data Necessary?
CoRR, 2024

InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting.
CoRR, 2024

Plugin Speech Enhancement: A Universal Speech Enhancement Framework Inspired by Dynamic Neural Network.
CoRR, 2024

ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters' utilization and perceptions.
Comput. Hum. Behav. Artif. Humans, 2024

Multiagent Reinforcement Learning Based on Structural Coordination.
Proceedings of the Parallel and Distributed Computing, Applications and Technologies, 2024

Improving Self-consistency for Open-Domain Question Answering via Automatic Prompt Engineering and Ensemble Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

ASRLM: ASR-Robust Language Model Pre-training via Generative and Discriminative Learning.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

GenDistiller: Distilling Pre-trained Language Models based on an Autoregressive Generative Model.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

Learning Temporal Cues for Fine-Grained Action Recognition.
Proceedings of the IEEE International Conference on Image Processing, 2024

Robust Self-Supervised Learning with Contrast Samples for Natural Language Understanding.
Proceedings of the IEEE International Conference on Acoustics, 2024

Feature Mixing-Based Active Learning for Multi-Label Text Classification.
Proceedings of the IEEE International Conference on Acoustics, 2024

Long-Term Gamification: A Survey.
Proceedings of the HCI in Games, 2024

Which Exergame Is Better for Older Adults? an Exploratory Study on User Perspectives of Virtual Reality, Exercube, and 2D Exergames.
Proceedings of the HCI in Games, 2024

Getting More from Less: Large Language Models are Good Spontaneous Multilingual Learners.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

LLM as a metric critic for low resource relation identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Network Topology Optimization via Deep Reinforcement Learning.
IEEE Trans. Commun., May, 2023

Federated Learning Over Coupled Graphs.
IEEE Trans. Parallel Distributed Syst., April, 2023

A novel Pseudo-label based domain adaptation method on tabular data.
J. Intell. Fuzzy Syst., 2023

A survey of transformer-based multimodal pre-trained modals.
Neurocomputing, 2023

Deep Learning for Medication Recommendation: A Systematic Survey.
Data Intell., 2023

MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting.
CoRR, 2023

Exploring User Perspectives on ChatGPT: Applications, Perceptions, and Implications for AI-Integrated Education.
CoRR, 2023

Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Two-sided Calibration for Quality-aware Responsible Recommendation.
Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Envisioning an Inclusive Metaverse: Student Perspectives on Accessible and Empowering Metaverse-Enabled Learning.
Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

Large-scale Urban Cellular Traffic Generation via Knowledge-Enhanced GANs with Multi-Periodic Patterns.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Cascaded Multi-task Adaptive Learning Based on Neural Architecture Search.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Branch Spatial-Temporal Decoupling Neural Network for Traffic Forecasting.
Proceedings of the International Joint Conference on Neural Networks, 2023

Collaborative Word-based Pre-trained Item Representation for Transferable Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2023

Dynamic Perceiver for Efficient Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive Hybrid Spatial-Temporal Graph Neural Network for Cellular Traffic Prediction.
Proceedings of the IEEE International Conference on Communications, 2023

CSDnet:Causal Inference Aided Handover Parameter Adjusting Effect Estimation in Cellular Networks.
Proceedings of the IEEE International Conference on Communications, 2023

ESCL: Equivariant Self-Contrastive Learning for Sentence Representations.
Proceedings of the IEEE International Conference on Acoustics, 2023

Semi-Supervised Speech Enhancement Based On Speech Purity.
Proceedings of the IEEE International Conference on Acoustics, 2023

Your Favorite Gameplay Speaks Volumes About You: Predicting User Behavior and Hexad Type.
Proceedings of the HCI in Games, 2023

Empowering Spatial Knowledge Graph for Mobile Traffic Prediction.
Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Log-FGAER: Logic-Guided Fine-Grained Address Entity Recognition from Multi-Turn Spoken Dialogue.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Spatial-Temporal Residual Multi-Graph Convolution Network for Traffic Forecasting.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

Multi-gate Mixture-of-Contrastive-Experts with Graph-based Gating Mechanism for TV Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Predictability of Cellular Network Traffic Based on Conditional Entropy.
Proceedings of the 9th IEEE International Conference on Cloud Computing and Intelligent Systems, 2023

2022
Mobile Data Traffic Prediction by Exploiting Time-Evolving User Mobility Patterns.
IEEE Trans. Mob. Comput., 2022

Distill-AER: Fine-Grained Address Entity Recognition from Spoken Dialogue via Knowledge Distillation.
Proceedings of the Natural Language Processing and Chinese Computing, 2022

Meta Auxiliary Learning for Low-resource Spoken Language Understanding.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Network Traffic Overload Prediction with Temporal Graph Attention Convolutional Networks.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

A Multi-scale Ensemble Learning Model for Cellular Traffic Prediction.
Proceedings of the IEEE Global Communications Conference, 2022

Learning to Weight Samples for Dynamic Early-Exiting Networks.
Proceedings of the Computer Vision - ECCV 2022, 2022

Target Interest Distillation for Multi-Interest Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Bidirectionally Densifying LSH Sketches with Empty Bins.
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

Temporal Biased Streaming Submodular Optimization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Fast Rotation Kernel Density Estimation over Data Streams.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Adaptive Multi-receptive Field Spatial-Temporal Graph Convolutional Network for Traffic Forecasting.
Proceedings of the IEEE Global Communications Conference, 2021

2020
Smart Prediction of the Complaint Hotspot Problem in Mobile Network.
CoRR, 2020

Customer Segment Application of Machine Learning in Business Operation of China Mobile.
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020

2019
Smart Prediction of the Complaint Hotspot Problem in Mobile Network.
Proceedings of the 2019 Workshop on Network Meets AI & ML, 2019


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