Jing Tang
Orcid: 0000-0002-0785-707XAffiliations:
- Hong Kong University of Science and Technology Guangzhou (HKUST-GZ), Guangzhou, China
- Hong Kong University of Science and Technology (HKUST), Tai Po Tsai, Hong Kong
- National University of Singapore, Singapore (former)
- Nanyang Technological University, School of Computer Science and Engineering, Singapore (PhD 2017)
According to our database1,
Jing Tang authored at least 112 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
-
on dl.acm.org
On csauthors.net:
Bibliography
2026
Evolutionary Transfer Neural Architecture Search Across Spaces via Representation Learning.
IEEE Trans. Evol. Comput., June, 2026
CoRR, May, 2026
IEEE Trans. Knowl. Data Eng., April, 2026
IEEE Trans. Knowl. Data Eng., April, 2026
Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration.
CoRR, April, 2026
EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval.
CoRR, April, 2026
CoRR, April, 2026
CoRR, March, 2026
CoRR, March, 2026
Real5-OmniDocBench: A Full-Scale Physical Reconstruction Benchmark for Robust Document Parsing in the Wild.
CoRR, March, 2026
TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models.
CoRR, February, 2026
CoRR, February, 2026
Accordion-Thinking: Self-Regulated Step Summaries for Efficient and Readable LLM Reasoning.
CoRR, February, 2026
IMGNN: An Efficient, Effective and Generalizable Algorithm for Influence Maximization in Social Networks.
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026
2025
Proc. VLDB Endow., December, 2025
DDFI: Diverse and Distribution-aware Missing Feature Imputation via Two-step Reconstruction.
CoRR, December, 2025
CoRR, October, 2025
CoRR, October, 2025
Emission-GPT: A domain-specific language model agent for knowledge retrieval, emission inventory and data analysis.
CoRR, October, 2025
CoRR, September, 2025
CoRR, September, 2025
Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration.
CoRR, August, 2025
IEEE Trans. Knowl. Data Eng., July, 2025
Self-Guided Process Reward Optimization with Redefined Step-wise Advantage for Process Reinforcement Learning.
CoRR, July, 2025
CoRR, March, 2025
Proc. ACM Manag. Data, 2025
Proc. ACM Manag. Data, 2025
J. Artif. Intell. Res., 2025
Private Order Flows and Builder Bidding Dynamics: The Road to Monopoly in Ethereum's Block Building Market.
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the ACM on Web Conference 2025, 2025
Proceedings of the Abstracts of the 2025 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2025
Noise Consistency Training: A Native Approach for One-step Generator in Learning Additional Controls.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
You Only Sample Once: Taming One-Step Text-to-Image Synthesis by Self-Cooperative Diffusion GANs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
LlamaDuo: LLMOps Pipeline for Seamless Migration from Service LLMs to Small-Scale Local LLMs.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
Proc. VLDB Endow., December, 2024
Proc. VLDB Endow., August, 2024
CoRR, 2024
Two Sides of the Same Coin: Large-scale Measurements of Builder and Rollup after EIP-4844.
CoRR, 2024
CoRR, 2024
Benchmarking LLMs for Optimization Modeling and Enhancing Reasoning via Reverse Socratic Synthesis.
CoRR, 2024
You Only Sample Once: Taming One-Step Text-To-Image Synthesis by Self-Cooperative Diffusion GANs.
CoRR, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
IEEE Trans. Knowl. Data Eng., 2023
Randomized Pricing with Deferred Acceptance for Revenue Maximization with Submodular Objectives.
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Abstract Proceedings of the 2023 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the 27th Conference on Computational Natural Language Learning, 2023
Practical Parallel Algorithms for Submodular Maximization Subject to a Knapsack Constraint with Nearly Optimal Adaptivity.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
ACM Trans. Database Syst., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
The Power of Randomization: Efficient and Effective Algorithms for Constrained Submodular Maximization.
CoRR, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021
Revisiting Modified Greedy Algorithm for Monotone Submodular Maximization with a Knapsack Constraint.
Proceedings of the SIGMETRICS '21: ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, 2021
Learning to Iteratively Solve Routing Problems with Dual-Aspect Collaborative Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Randomized Algorithms for Submodular Function Maximization with a k-System Constraint.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
VLDB J., 2020
Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
Proceedings of the 36th IEEE International Conference on Data Engineering, 2020
An Analysis of Blockchain Consistency in Asynchronous Networks: Deriving a Neat Bound.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
2019
Proc. VLDB Endow., 2019
Proceedings of the 2019 International Conference on Management of Data, 2019
2018
Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis.
IEEE Trans. Knowl. Data Eng., 2018
An efficient and effective hop-based approach for influence maximization in social networks.
Soc. Netw. Anal. Min., 2018
Proceedings of the 2018 International Conference on Management of Data, 2018
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018
2017
Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017, Sydney, Australia, July 31, 2017
2016
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016
2015
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015
2014
Proceedings of the 22nd IEEE International Conference on Network Protocols, 2014