Inverse transport calculations in optical imaging with subspace optimization algorithms. - Tian Ding; Kui Ren 002 (J. Comput. Phys., 2014)

Lattice-based cooperative communications for two-path relay channels with direct link. - Tian Ding; Xiaojun Yuan 002; Feifei Gao (ICC, 2015)

Uplink performance analysis of dense cellular networks with LoS and NLoS transmissions. - Tian Ding; Ming Ding 001; Guoqiang Mao; Zihuai Lin; David López-Pérez (ICC, 2016)

Degrees of freedom of MIMO Y channel with multiple relays. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (ISIT, 2016)

A statistical model for DPA when algorithmic noise is dependent on target. - Shuang Qiu 004; Rui Zhang 002; Yuchen Cao; Wei Yang 008; Yongbin Zhou; Tian Ding (Secur. Commun. Networks, 2016)

Network-coded fronthaul transmission for cache-aided C-RAN. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (ISIT, 2017)

Uplink Performance Analysis of Dense Cellular Networks With LoS and NLoS Transmissions. - Tian Ding; Ming Ding 001; Guoqiang Mao; Zihuai Lin; David López-Pérez; Albert Y. Zomaya (IEEE Trans. Wirel. Commun., 2017)

On the Degrees of Freedom of the Symmetric Multi-Relay MIMO Y Channel. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (IEEE Trans. Wirel. Commun., 2017)

MAC Layer Performance Analysis of Dense Small Cell Networks with Full Duplex. - Tian Ding; Ming Ding 001; Guoqiang Mao (APCC, 2018)

Structured Sparsity Learning Based Multiuser Detection in Massive-Device Multiple Access. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (GLOBECOM, 2018)

Over-Parameterized Deep Neural Networks Have No Strict Local Minima For Any Continuous Activations. - Dawei Li 010; Tian Ding; Ruoyu Sun 001 (CoRR, 2018)

Performance Analysis of Dense Small Cell Networks With Dynamic TDD. - Tian Ding; Ming Ding 001; Guoqiang Mao; Zihuai Lin; Albert Y. Zomaya; David López-Pérez (IEEE Trans. Veh. Technol., 2018)

Algorithmic Beamforming Design for MIMO Multiway Relay Channel With Clustered Full Data Exchange. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (IEEE Trans. Veh. Technol., 2018)

Sub-Optimal Local Minima Exist for Almost All Over-parameterized Neural Networks. - Tian Ding; Dawei Li 010; Ruoyu Sun 001 (CoRR, 2019)

Sparsity Learning-Based Multiuser Detection in Grant-Free Massive-Device Multiple Access. - Tian Ding; Xiaojun Yuan 002; Soung Chang Liew (IEEE Trans. Wirel. Commun., 2019)

Performance analysis of dense small cell networks - Tian Ding (2019)

Uplink Performance Analysis of UAV Cellular Communications with Power Control. - Xiuhua Fu; Tian Ding; Michel Kadoch; Mohamed Cheriet (IWCMC, 2020)

Beamforming Design with Fast Convergence for IRS-Aided Full-Duplex Communication. - Hong Shen 002; Tian Ding; Wei Xu 001; Chunming Zhao 001 (CoRR, 2020)

Beamformig Design With Fast Convergence for IRS-Aided Full-Duplex Communication. - Hong Shen 002; Tian Ding; Wei Xu 001; Chunming Zhao 001 (IEEE Commun. Lett., 2020)

The Global Landscape of Neural Networks: An Overview. - Ruoyu Sun 001; Dawei Li 010; Shiyu Liang; Tian Ding; Rayadurgam Srikant (IEEE Signal Process. Mag., 2020)

Joint UAV channel modeling and power control for 5G IoT networks. - Xiuhua Fu; Tian Ding; Rongqun Peng; Cong Liu 012; Mohamed Cheriet (EURASIP J. Wirel. Commun. Netw., 2021)

An improved Cuckoo search localization algorithm for UWB sensor networks. - Xiaofeng Qin; Bin Xia; Tian Ding; Lei Zhao (Wirel. Networks, 2021)

An Improved PSO Localization Algorithm for UWB Sensor Networks. - Bin Xia; Tao Liu; Tian Ding; Zhi-Qiang Wang 004 (Wirel. Pers. Commun., 2021)

A Decomposition-Combination Optimization Method for Network Multiobjective Optimization Problems. - Ziyuan Lyu; Tian Ding; Yuwei Fan (CEC, 2022)

On the Benefit of Width for Neural Networks: Disappearance of Basins. - Dawei Li 010; Tian Ding; Ruoyu Sun 001 (SIAM J. Optim., 2022)

Suboptimal Local Minima Exist for Wide Neural Networks with Smooth Activations. - Tian Ding; Dawei Li 010; Ruoyu Sun 001 (Math. Oper. Res., 2022)

Analysis and Optimization of Model Aggregation Performance in Federated Learning. - Huiyuan Yang; Tian Ding; Xiaojun Yuan 002 (ICC, 2023)

A Review of the Motion Planning and Control Methods for Automated Vehicles. - Xiaohua Song; Huihui Gao; Tian Ding; Yunfeng Gu; Jing Liu 046; Kun Tian (Sensors, 2023)

Federated Learning With Lossy Distributed Source Coding: Analysis and Optimization. - Huiyuan Yang; Tian Ding; Xiaojun Yuan 002 (IEEE Trans. Commun., 2023)

Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. - Heshen Zhan; Congliang Chen; Tian Ding; Ziniu Li; Ruoyu Sun 001 (EMNLP (Findings), 2024)

PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming. - Bingheng Li; Linxin Yang; Yupeng Chen; Senmiao Wang; Haitao Mao; Qian Chen; Yao Ma 001; Akang Wang; Tian Ding; Jiliang Tang; Ruoyu Sun 001 (ICML, 2024)

A Study on Analyzing Classroom Teaching Questions Supported by Generative Artificial Intelligence. - Tian Ding; Jiong Guo (MIS4TEL, 2024)

On the Power of Small-size Graph Neural Networks for Linear Programming. - Qian Li; Tian Ding; Linxin Yang; Minghui Ouyang; Qingjiang Shi; Ruoyu Sun 001 (NeurIPS, 2024)

Why Transformers Need Adam: A Hessian Perspective. - Yushun Zhang; Congliang Chen; Tian Ding; Ziniu Li; Ruoyu Sun 001; Zhi-Quan Luo (NeurIPS, 2024)

Adam-mini: Use Fewer Learning Rates To Gain More. - Yushun Zhang; Congliang Chen; Ziniu Li; Tian Ding; Chenwei Wu 002; Yinyu Ye 001; Zhi-Quan Luo; Ruoyu Sun 001 (CoRR, 2024)

MoFO: Momentum-Filtered Optimizer for Mitigating Forgetting in LLM Fine-Tuning. - Yupeng Chen; Senmiao Wang; Zhihang Lin; Zeyu Qin; Yushun Zhang; Tian Ding; Ruoyu Sun 001 (CoRR, 2024)

An Efficient Unsupervised Framework for Convex Quadratic Programs via Deep Unrolling. - Linxin Yang; Bingheng Li; Tian Ding; Jianghua Wu; Akang Wang; Yuyi Wang 006; Jiliang Tang; Ruoyu Sun 001; Xiaodong Luo (CoRR, 2024)

Towards Explaining the Power of Constant-depth Graph Neural Networks for Structured Linear Programming. - Qian Li; Minghui Ouyang; Tian Ding; Yuyi Wang 006; Qingjiang Shi; Ruoyu Sun 001 (ICLR, 2025)

Adam-mini: Use Fewer Learning Rates To Gain More. - Yushun Zhang; Congliang Chen; Ziniu Li; Tian Ding; Chenwei Wu 002; Diederik P. Kingma; Yinyu Ye 001; Zhi-Quan Luo; Ruoyu Sun 001 (ICLR, 2025)

Exploring and Improving Initialization for Deep Graph Neural Networks: A Signal Propagation Perspective. - Senmiao Wang; Yupeng Chen; Yushun Zhang; Ruoyu Sun 001; Tian Ding (Trans. Mach. Learn. Res., 2025)

Enabling Scalable Oversight via Self-Evolving Critic. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. - Zhengyang Tang; Ziniu Li; Zhenyang Xiao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Dayiheng Liu; Fei Huang 005; Tianyu Liu 001; Bowen Yu 002; Junyang Lin (CoRR, 2025)

CoRT: Code-integrated Reasoning within Thinking. - Chengpeng Li 001; Zhengyang Tang; Ziniu Li; Mingfeng Xue; Keqin Bao; Tian Ding; Ruoyu Sun 001; Benyou Wang; Xiang Wang 010; Junyang Lin; Dayiheng Liu (CoRR, 2025)

Learning to Gridize: Segment Physical World by Wireless Communication Channel. - Juntao Wang; Feng Yin; Tian Ding; Tsung-Hui Chang; Zhi-Quan Luo; Qi Yan (CoRR, 2025)

Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving. - Tianyun Yang; Yunwen Li; Ziniu Li; Zhihang Lin; Ruoyu Sun 001; Tian Ding (CoRR, 2025)