Jingang Wang

Orcid: 0000-0002-2999-3371

According to our database1, Jingang Wang authored at least 202 papers between 2009 and 2026.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2026
ATLAS: All-round Testing of Long-context Abilities across Scales.
CoRR, May, 2026

LANG: Reinforcement Learning for Multilingual Reasoning with Language-Adaptive Hint Guidance.
CoRR, May, 2026

MTR-Suite: A Framework for Evaluating and Synthesizing Conversational Retrieval Benchmarks.
CoRR, May, 2026

Multi-Objective and Mixed-Reward Reinforcement Learning via Reward-Decorrelated Policy Optimization.
CoRR, May, 2026

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence.
CoRR, May, 2026

Beyond Reasoning: Reinforcement Learning Unlocks Parametric Knowledge in LLMs.
CoRR, May, 2026

A Center Drive Frequency Differential EIT Method for Monitoring of Tumor Ablation.
IEEE Trans. Biomed. Eng., March, 2026

LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning.
CoRR, March, 2026

OPE: Overcoming Information Saturation in Parallel Thinking via Outline-Guided Path Exploration.
CoRR, February, 2026

SpanNorm: Reconciling Training Stability and Performance in Deep Transformers.
CoRR, January, 2026

Causal Autoregressive Diffusion Language Model.
CoRR, January, 2026

BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search.
CoRR, January, 2026

Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text.
CoRR, January, 2026

BaseCal: Unsupervised Confidence Calibration via Base Model Signals.
CoRR, January, 2026

Cross-Domain detection of AI-Generated text: Integrating linguistic richness and lexical pair dispersion via deep learning.
Pattern Recognit. Lett., 2026

Novel spectral redundancy suppression framework for high-speed multispectral image compression.
J. King Saud Univ. Comput. Inf. Sci., 2026

Maritime image dehazing based on Omni-Directional Perception and frequency-guided fusion.
Digit. Signal Process., 2026

Scaling and Transferability of Annealing Strategies in Large Language Model Training.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A generative image steganography method based on joint encoding of multi-object semantic information.
Pattern Anal. Appl., December, 2025

Efficient Context Scaling with LongCat ZigZag Attention.
CoRR, December, 2025

A Preliminary Study on the Promises and Challenges of Native Top-<i>k</i> Sparse Attention.
CoRR, December, 2025

A Survey on LLM Mid-training.
CoRR, October, 2025

Autoformalizer with Tool Feedback.
CoRR, October, 2025

Making Mathematical Reasoning Adaptive.
CoRR, October, 2025

Fine-tuning Done Right in Model Editing.
CoRR, September, 2025

Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns.
CoRR, September, 2025

OneCAT: Decoder-Only Auto-Regressive Model for Unified Understanding and Generation.
CoRR, September, 2025

Stop Spinning Wheels: Mitigating LLM Overthinking via Mining Patterns for Early Reasoning Exit.
CoRR, August, 2025

Large-Scale Diverse Synthesis for Mid-Training.
CoRR, August, 2025

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points.
CoRR, August, 2025

Lightweight single-head attention mechanism-driven diffusion model for hyperspectral image classification.
J. Supercomput., July, 2025

Libra: Assessing and Improving Reward Model by Learning to Think.
CoRR, July, 2025

Sub-Scaling Laws: On the Role of Data Density and Training Strategies in LLMs.
CoRR, July, 2025

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment.
CoRR, May, 2025

SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity.
CoRR, March, 2025

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective.
CoRR, February, 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pre-Training.
CoRR, February, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.
CoRR, January, 2025

Biresidual Compression Network With Conditional Diffusion Model for Hyperspectral Image Compression.
IEEE Trans. Geosci. Remote. Sens., 2025

Lightweight Band-Adaptive Hyperspectral Image Compression With Feature Decouple and Recurrent Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

Heterogeneous Domain Remapping for Universal Detection of Generative Linguistic Steganography.
IEEE Signal Process. Lett., 2025

General Steganalysis of Generative Linguistic Steganography Based on Dynamic Segment-Level Lexical Association Extraction.
IEEE Signal Process. Lett., 2025

Radar target tracking based on motion characteristic and distribution pattern matching.
Signal Process., 2025

ProFus: Progressive Radar-Vision Heterogeneous Modality Fusion for Maritime Target Detection.
IEEE Geosci. Remote. Sens. Lett., 2025

Mamba and cross-channel aggregation for efficient multispectral image compression.
J. King Saud Univ. Comput. Inf. Sci., 2025

Synonym Substitution Steganalysis Based on Heterogeneous Feature Extraction and Hard Sample Mining Re-Perception.
Big Data Cogn. Comput., 2025

NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Dynamic Fisher-weighted Model Merging via Bayesian Optimization.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Earlier Tokens Contribute More: Learning Direct Preference Optimization From Temporal Decay Perspective.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AgentRefine: Enhancing Agent Generalization through Refinement Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Leveraging Unpaired Feedback for Long-Term LLM-based Recommendation Tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

ReMamba: Equip Mamba with Effective Long-Sequence Modeling.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

FIRE: Flexible Integration of Data Quality Ratings for Effective Pretraining.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SampleMix: A Sample-wise Pre-training Data Mixing Strategy by Coordinating Data Quality and Diversity.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

IIET: Efficient Numerical Transformer via Implicit Iterative Euler Method.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TCPO: Thought-Centric Preference Optimization for Effective Embodied Decision-making.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Jailbreak LLMs through Internal Stance Manipulation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Preference Curriculum: LLMs Should Always Be Pretrained on Their Preferred Data.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

FRAME: Boosting LLMs with A Four-Quadrant Multi-Stage Pretraining Strategy.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

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

Multi-Programming Language Sandbox for LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Detection Method for Three-Phase Electricity Theft Based on Multi-Dimensional Feature Extraction.
Sensors, September, 2024

Stiffness-Tunable Substrate Fabrication by DMD-Based Optical Projection Lithography for Cancer Cell Invasion Studies.
IEEE Trans. Biomed. Eng., July, 2024

Regional Pulmonary Ventilation Assessment Method and System Based on Impedance Sensing Information from the Pentapulmonary Lobes.
Sensors, May, 2024

Research on Residual-Current Measurement System of Substation Considering Magnetic Shielding Effect.
Sensors, January, 2024

Maritime Radar Target Detection Model Self-Evolution Based on Semisupervised Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

SANet: A Compressed Speech Encoder and Steganography Algorithm Independent Steganalysis Deep Neural Network.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

The Design of the Flight Corridor for the Terminal Area Energy Management Phase of Gliding Hypersonic Unmanned Aerial Vehicles.
Symmetry, 2024

Two-Stage Collaborative Sea Clutter Suppression Based on Subregion Gazing and Reconstruction.
IEEE Geosci. Remote. Sens. Lett., 2024

Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern.
CoRR, 2024

Enhancing LLM Reasoning via Critique Models with Test-Time and Training-Time Supervision.
CoRR, 2024

Multi-Programming Language Sandbox for LLMs.
CoRR, 2024

Length Desensitization in Directed Preference Optimization.
CoRR, 2024

How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data.
CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.
CoRR, 2024

Rethinking LLM-based Preference Evaluation.
CoRR, 2024

Parallel Decoding via Hidden Transfer for Lossless Large Language Model Acceleration.
CoRR, 2024

What Makes Quantization for Large Language Models Hard? An Empirical Study from the Lens of Perturbation.
CoRR, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.
CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
CoRR, 2024

Combination of feature selection and geographical stratification increases the soil total nitrogen estimation accuracy based on vis-NIR and pXRF spectral fusion.
Comput. Electron. Agric., 2024

Leakage Current De-Disturbance Method for Distribution Network Type Surge Arrester Based on EEMD-SVD and Low-Rank RBF Neural Network.
IEEE Access, 2024

FIRP: Faster LLM Inference via Future Intermediate Representation Prediction.
Proceedings of the Natural Language Processing and Chinese Computing, 2024

Unleashing Region Understanding in Intermediate Layers for MLLM-based Referring Expression Generation.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Predictor-Corrector Enhanced Transformers with Exponential Moving Average Coefficient Learning.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Do Your Code LLMs perform? Empowering Code Instruction Tuning with Really Good Data.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

C-ICL: Contrastive In-context Learning for Information Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Forgetting Curve: A Reliable Method for Evaluating Memorization Capability for Long-Context Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Minimal Distillation Schedule for Extreme Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

Task-agnostic Distillation of Encoder-Decoder Language Models.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Speculative Decoding via Early-exiting for Faster LLM Inference with Thompson Sampling Control Mechanism.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Graph-Structured Speculative Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Frame-level steganalysis of QIM steganography in compressed speech based on multi-dimensional perspective of codeword correlations.
J. Ambient Intell. Humaniz. Comput., July, 2023

Detection of Generative Linguistic Steganography Based on Explicit and Latent Text Word Relation Mining Using Deep Learning.
IEEE Trans. Dependable Secur. Comput., 2023

Solve the Puzzle of Instance Segmentation in Videos: A Weakly Supervised Framework With Spatio-Temporal Collaboration.
IEEE Trans. Circuits Syst. Video Technol., 2023

Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection.
Sensors, 2023

Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor.
Sensors, 2023

Maritime Radar Target Detection in Sea Clutter Based on CNN With Dual-Perspective Attention.
IEEE Geosci. Remote. Sens. Lett., 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
CoRR, 2023

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model.
CoRR, 2023

Task-agnostic Distillation of Encoder-Decoder Language Models.
CoRR, 2023

Research and Experiment on Self-Decoupling Method for Non-Intrusive Measurement of Transmission Line Voltage.
IEEE Access, 2023

LUNA: Language as Continuing Anchors for Referring Expression Comprehension.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Sea Surface Object Detection Based on Background Dynamic Perception and Cross-Layer Semantic Interaction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Improving the Accuracy of Jiles-Atherton Hysteresis Loop Cluster Simulations in Low Saturation Regions with Neural Networks.
Proceedings of the 15th International Conference on Computer Modeling and Simulation, 2023

Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Speech Emotion Recognition Method Based on Cross-Layer Intersectant Fusion.
IAIC (2), 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

APP: Adaptive Prototypical Pseudo-Labeling for Few-shot OOD Detection.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Retrieval-based Knowledge Transfer: An Effective Approach for Extreme Large Language Model Compression.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Input-label Mapping with Demonstration Replay for In-context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Cooperative Detection of Camouflaged Malicious TLS Traffic.
Proceedings of the Eleventh International Conference on Advanced Cloud and Big Data, 2023

Lifting the Curse of Capacity Gap in Distilling Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

FutureTOD: Teaching Future Knowledge to Pre-trained Language Model for Task-Oriented Dialogue.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Fusion or Defusion? Flexible Vision-and-Language Pre-Training.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Decoupling Pseudo Label Disambiguation and Representation Learning for Generalized Intent Discovery.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Method of Calculating FVC and FEV1 Based on Integrated Transfer Impedance With Higher-Order Modified Parameter Matrix.
IEEE Trans. Instrum. Meas., 2022

A Self-Decoupling Contactless Overvoltage Measurement Method Based on Optimization of Measuring Point.
IEEE Trans. Instrum. Meas., 2022

General Frame-Wise Steganalysis of Compressed Speech Based on Dual-Domain Representation and Intra-Frame Correlation Leaching.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Structure Design of Quadrilateral Overlapped Wireless Power Transmission Coupling Coil.
Sensors, 2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.
CoRR, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
CoRR, 2022

AutoDisc: Automatic Distillation Schedule for Large Language Model Compression.
CoRR, 2022

Making Pre-trained Language Models Good Long-tailed Learners.
CoRR, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Passage Retrieval.
CoRR, 2022

Construction of spectral index based on multi-angle spectral data for estimating cotton leaf nitrogen concentration.
Comput. Electron. Agric., 2022

Deep Partial Multiplex Network Embedding.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Personalized Abstractive Opinion Tagging.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Making Pretrained Language Models Good Long-tailed Learners.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XPrompt: Exploring the Extreme of Prompt Tuning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

VIRT: Improving Representation-based Text Matching via Virtual Interaction.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

One-Shot Detection of Malicious TLS Traffic.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Structural Bias for Aspect Sentiment Triplet Extraction.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Generalized Intent Discovery: Learning from Open World Dialogue System.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Unified Knowledge Prompt Pre-training for Customer Service Dialogues.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Analysis, Design, and Experiment of FVC Detection Device Using the Cross Four-Electrode Method.
IEEE Trans. Instrum. Meas., 2021

Design and Test of Contactless Overvoltage Sensor With Spherical Six-Electrode.
IEEE Trans. Instrum. Meas., 2021

Detection of Multiple Steganography Methods in Compressed Speech Based on Code Element Embedding, Bi-LSTM and CNN With Attention Mechanisms.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Evaluation of Electric Field Integral Voltage Measurement Method of Transmission Line Based on Error Transmission and Uncertainty Analysis.
Sensors, 2021

VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction.
CoRR, 2021

Estimating cotton leaf nitrogen by combining the bands sensitive to nitrogen concentration and oxidase activities using hyperspectral imaging.
Comput. Electron. Agric., 2021

ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Hybrid Discriminative Mixture Model for Cumulative Citation Recommendation.
IEEE Trans. Knowl. Data Eng., 2020

Method and Experimental Study of Voltage Measurement Based on Electric Field Integral With Gauss-Legendre Algorithm.
IEEE Trans. Instrum. Meas., 2020

Simulation and Test of a Contactless Voltage Measurement Method for Overhead Lines Based on Reconstruction of Integral Node Parameters.
Sensors, 2020

An Improved Partial Discharge Detection System Based on UV Pulses Detection.
Sensors, 2020

Query-aware Tip Generation for Vertical Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Simulation, Design, and Test of a Dual-Differential D-Dot Overvoltage Sensor Based on the Field-Circuit Coupling Method.
Sensors, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.
CoRR, 2019

Research on Transmission Line Voltage Measurement Method Based on Improved Gaussian Integral.
IEEE Access, 2019

Evaluation on Partial Discharge Intensity of Electrical Equipment Based on Improved ANFIS and Ultraviolet Pulse Detection Technology.
IEEE Access, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018
Research on Transmission Line Voltage Measurement Method of D-Dot Sensor Based on Gaussian Integral.
Sensors, 2018

Research on the Algorithm and Test of Transmission Line Voltage Measurement Based on Electric Field Integral Method.
IEEE Access, 2018

Alibaba's Neural Machine Translation Systems for WMT18.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

An Adversarial Joint Learning Model for Low-Resource Language Semantic Textual Similarity.
Proceedings of the Advances in Information Retrieval, 2018

A Multi-Task Learning Approach for Improving Product Title Compression with User Search Log Data.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Design and Experimental Study of a Current Transformer with a Stacked PCB Based on B-Dot.
Sensors, 2017

PSVM: a preference-enhanced SVM model using preference data for classification.
Sci. China Inf. Sci., 2017

iNLP at the NTCIR-13 STC-2 Task.
Proceedings of the 13th NTCIR Conference, 2017

2016
Decomposition of Composite Electric Field in a Three-Phase D-Dot Voltage Transducer Measuring System.
Sensors, 2016

Supervised Local Contexts Aggregation for Effective Session Search.
Proceedings of the Advances in Information Retrieval, 2016

Cold Start Cumulative Citation Recommendation for Knowledge Base Acceleration.
Proceedings of the Advances in Information Retrieval, 2016

2015
Design and Simulation Test of an Open D-Dot Voltage Sensor.
Sensors, 2015

Resorting Relevance Evidences to Cumulative Citation Recommendation for Knowledge Base Acceleration.
Proceedings of the Web-Age Information Management - 16th International Conference, 2015

An Entity Class-Dependent Discriminative Mixture Model for Cumulative Citation Recommendation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

LDTM: A Latent Document Type Model for Cumulative Citation Recommendation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Design, Experiments and Simulation of Voltage Transformers on the Basis of a Differential Input D-dot Sensor.
Sensors, 2014

BIT and Purdue at TREC-KBA-CCR Track 2014.
Proceedings of The Twenty-Third Text REtrieval Conference, 2014

2013
BIT and MSRA at TREC KBA CCR Track 2013.
Proceedings of The Twenty-Second Text REtrieval Conference, 2013

A Self-healing Framework for QoS-Aware Web Service Composition via Case-Based Reasoning.
Proceedings of the Web Technologies and Applications - 15th Asia-Pacific Web Conference, 2013

2012
The Chinese Bag-of-Opinions Method for Hot-Topic-Oriented Sentiment Analysis on Weibo.
Proceedings of the Semantic Web and Web Science, 2012

2009
An Object-Based Path Planning Using Grids-Potential Fields for Intelligent Robot.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009


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