| The global landscape of neural networks: An overview R Sun, D Li, S Liang, T Ding, R Srikant IEEE Signal Processing Magazine 37 (5), 95-108, 2020 | 105 | 2020 |
| Sparsity learning-based multiuser detection in grant-free massive-device multiple access T Ding, X Yuan, SC Liew IEEE Transactions on Wireless Communications 18 (7), 3569-3582, 2019 | 104 | 2019 |
| On the benefit of width for neural networks: Disappearance of basins D Li, T Ding, R Sun SIAM Journal on Optimization 32 (3), 1728-1758, 2022 | 70* | 2022 |
| Suboptimal local minima exist for wide neural networks with smooth activations T Ding, D Li, R Sun Mathematics of Operations Research 47 (4), 2784-2814, 2022 | 53* | 2022 |
| Why transformers need adam: A hessian perspective Y Zhang, C Chen, T Ding, Z Li, R Sun, ZQ Luo arXiv preprint arXiv:2402.16788, 2024 | 24 | 2024 |
| Adam-mini: Use fewer learning rates to gain more Y Zhang, C Chen, Z Li, T Ding, C Wu, Y Ye, ZQ Luo, R Sun arXiv preprint arXiv:2406.16793, 2024 | 18 | 2024 |
| Federated learning with lossy distributed source coding: Analysis and optimization H Yang, T Ding, X Yuan IEEE Transactions on Communications 71 (8), 4561-4576, 2023 | 13 | 2023 |
| On the degrees of freedom of the symmetric multi-relay MIMO Y channel T Ding, X Yuan, SC Liew IEEE Transactions on Wireless Communications 16 (9), 5673-5688, 2017 | 13 | 2017 |
| Network-coded fronthaul transmission for cache-aided C-RAN T Ding, X Yuan, SC Liew 2017 IEEE International Symposium on Information Theory (ISIT), 1182-1186, 2017 | 11 | 2017 |
| Algorithmic beamforming design for MIMO multiway relay channel with clustered full data exchange T Ding, X Yuan, SC Liew IEEE Transactions on Vehicular Technology 67 (10), 10081-10086, 2018 | 8 | 2018 |
| PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming B Li, L Yang, Y Chen, S Wang, Q Chen, H Mao, Y Ma, A Wang, T Ding, ... arXiv preprint arXiv:2406.01908, 2024 | 4 | 2024 |
| Structured sparsity learning based multiuser detection in massive-device multiple access T Ding, X Yuan, SC Liew 2018 IEEE Global Communications Conference (GLOBECOM), 1-7, 2018 | 2 | 2018 |
| Degrees of freedom of MIMO Y channel with multiple relays T Ding, X Yuan, SC Liew 2016 IEEE International Symposium on Information Theory (ISIT), 1302-1306, 2016 | 2 | 2016 |
| Lattice-based cooperative communications for two-path relay channels with direct link T Ding, X Yuan, F Gao 2015 IEEE International Conference on Communications (ICC), 2338-2343, 2015 | 2 | 2015 |
| Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization H Zhan, C Chen, T Ding, Z Li, R Sun Findings of the Association for Computational Linguistics: EMNLP 2024, 14825 …, 2024 | 1 | 2024 |
| A Decomposition-Combination Optimization Method for Network Multiobjective Optimization Problems Z Lyu, T Ding, Y Fan 2022 IEEE Congress on Evolutionary Computation (CEC), 1-10, 2022 | 1 | 2022 |
| RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques Z Tang, Z Li, Z Xiao, T Ding, R Sun, B Wang, D Liu, F Huang, T Liu, B Yu, ... arXiv preprint arXiv:2501.14492, 2025 | | 2025 |
| Enabling Scalable Oversight via Self-Evolving Critic Z Tang, Z Li, Z Xiao, T Ding, R Sun, B Wang, D Liu, F Huang, T Liu, B Yu, ... arXiv preprint arXiv:2501.05727, 2025 | | 2025 |
| MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning Y Chen, S Wang, Z Lin, Z Qin, Y Zhang, T Ding, R Sun arXiv preprint arXiv:2407.20999, 2024 | | 2024 |
| Analysis and Optimization of Model Aggregation Performance in Federated Learning H Yang, T Ding, X Yuan ICC 2023-IEEE International Conference on Communications, 3114-3120, 2023 | | 2023 |
