| 1 |
Li Jiarong |
Tsinghua Shenzhen International Graduate School, Tsinghua University |
Data-Driven Human Monitoring by A Triboelectric Gait Sensor System |
Systems，IOT and Communication |
| 2 |
Cai Zhuojun |
Tsinghua Shenzhen International Graduate School, Tsinghua University |
Robust and Generalizable QoT Estimation in Fiber Optic Networks |
Systems，IOT and Communication |
| 3 |
Cai Tenghao |
The Chinese University of Hong Kong |
Approaching Centralized Multi-cell Coordinated Beamforming with
Limited Backhaul Signaling |
Systems，IOT and Communication |
| 4 |
Wang Yongheng |
Tsinghua Shenzhen International Graduate School, Tsinghua University |
Integrated Planning of Multi-Charging Facilities and Active Distribution Network for Autopilot EVs in Complex Urban Transportation Network |
Power System & Transportation |
| 5 |
Lin Hanyang |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
A Linearized Branch Flow Model Considering Line Shunts for Radial Distribution Systems and its Application in Volt/VAr Control |
Power System & Transportation |
| 6 |
Wang Lianzhe |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Improving Generalization of Meta-Learning with Inverted Regularization at Inner-Level. |
Machine Learning |
| 7 |
Chen Qian |
Shenzhen Research Institute of Big Data |
A Symmetry-Aware Learning Approach for Solving Mixed-Integer Linear Programs |
Machine Learning |
| 8 |
YANG Linxin |
Shenzhen Research Institute of Big Data |
A GNN-GUIDED PREDICT-AND-SEARCH FRAMEWORK FOR MIXED-INTEGER LINEAR PROGRAMMING |
Machine Learning |
| 9 |
Nian Dongdong |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Bayesian Graph Neural Networks for Uncertainty-aware Node Classification |
Machine Learning |
| 10 |
Erik Isai Valle Salgado |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Federated Learning via Knowledge Distillation and Consensus Focus for AOI |
Machine Learning |
| 11 |
Huang Kun |
The Chinese University of Hong Kong |
Distributed Random Reshuffling Methods over Networks |
Machine Learning |
| 12 |
Ge Songyang |
The Chinese University of Hong Kong |
Decentralized Non-Convex Learning With Linearly Coupled Constraints: Algorithm Designs and Application to Vertical Learning Problem |
Machine Learning |
| 13 |
Wang Qihang |
Shenzhen International Graduate School, Tsinghua University |
Pareto Frontier Tree Search: Better Algorithms Performance Comparison |
Machine Learning |
| 14 |
YUAN Xueqiong |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Robustness Enhancement in Neural Networks with Alpha-Stable Training Noise |
Machine Learning |
| 15 |
Zhu Menghao |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Sequential Monte Carlo Methods for Markov-Process Neural Networks |
Machine Learning |
| 16 |
Diao Jun |
School of Cyber Science and Technology (CST), Beihang University |
Achievable Error Exponents for M-ary Almost Fixed-Length Hypothesis Testing |
Information Theory |
| 17 |
Huang Yuwen |
The Chinese University of Hong Kong |
Bounding the Permanent of a Non-negative Matrix via its Degree-M Bethe and Sinkhorn Permanents |
Information Theory |
| 18 |
Su Jun |
THE UNIVERSITY OF HONG KONG |
Effect of Feedback on the Capacity of OU-Colored AWGN Channels |
Information Theory |
| 19 |
Li Peijie |
THE UNIVERSITY OF HONG KONG |
On the Optimality of Marton's Sum-rate for Binary-Input Broadcast Channels |
Information Theory |
| 20 |
Liu Fan |
Southern University of Science and Technology |
On the Fundamental Tradeoff of Integrated Sensing and Communications Under Gaussian Channels |
Information Theory |
| 21 |
WANG Yiming |
School of Cyber Science and Technology (CST), Beihang University |
Achievable Second-Order Asymptotics for Additive Non-Gaussian MAC and RAC |
Information Theory |
| 22 |
WU Zhuangfei |
School of Cyber Science and Technology (CST), Beihang University |
Achievable Excess-distortion Exponents for Successive Refinement Using Gaussian Codebooks |
Information Theory |
| 23 |
Liu Yanxiao |
The Chinese University of Hong Kong |
Weighted Parity-Check Codes |
Information Theory |
| 24 |
ZHANG Jiayu |
The Chinese University of Hong Kong |
Community Fire Prediction and Prevention Based on A Machine Learning Approach |
Data Mining and Knowledge Representation |
| 25 |
Tao Chengyu |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Battery Cross-operation-condition Lifetime Prediction via Interpretable Feature Engineering Assisted Adaptive Machine Learning |
Data Mining and Knowledge Representation |
| 26 |
Zhang Shumeng |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Earth Surface Displacement Modeling by Sequential Monte Carlo |
Data Mining and Knowledge Representation |
| 27 |
Wang Haoyang |
Shenzhen International Graduate School, Tsinghua University |
CaliFormer: Leveraging Unlabeled Measurements for Calibration with Self-supervised Learning |
Data Mining and Knowledge Representation |
| 28 |
Chen Yanyu |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models |
Data Mining and Knowledge Representation |
| 29 |
Chen Junmin |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Leveraging Machine Learning for Organic Force Field Development in Molecular Dynamics Simulations |
Data Mining and Knowledge Representation |
| 30 |
Kong Dexu |
Institute of Data and Information, Tsinghua University |
Topology Preserving Dynamic Community Detection |
Data Mining and Knowledge Representation |
| 31 |
Tang Yuanbo |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Explainable Trajectory Representation Based On Dictionary Learning |
Data Mining and Knowledge Representation |
| 32 |
Zhang Anping |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Optimizing Self-Organized Volunteer Efforts in Response to the COVID-19 Pandemic |
Data Mining and Knowledge Representation |
| 33 |
Li Zuxin |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Self-Refining: Enhancing Large Language Models through Self-Evaluated finetuning |
Computer Vision & Natural Language Processing |
| 34 |
Chen Yuzhe |
Tsinghua-Berkeley Shenzhen Institute, Tsinghua University |
Bayesian Neural Network for Computer-Generated Holography |
Computer Vision & Natural Language Processing |
| 35 |
Li Chen |
Tsinghua Shenzhen International Graduate School, Tsinghua University |
Domain Adaptation for Industrial Defect Detection with Limited Sample Size |
Computer Vision & Natural Language Processing |
| 36 |
Ma Yuanzheng |
Institute of Data and Information, Tsinghua Shenzhen International Graduate School, Tsinghua University |
Iterative-in-Iterative Super-Resolution Biomedical Imaging using One real Image |
Computer Vision & Natural Language Processing |