publications
(*) is used to denote equal contribution.
2024
- arXiv
- arXivDecoupled Sequence and Structure Generation for Realistic Antibody DesignarXiv preprint arXiv:2402.05982 2024
- NeurIPS WSGenerative Flows on Synthetic Pathway for Drug DesignNeurIPS Workshop on AI for New Drug Modalities 2024
- NeurIPS WSMOFFlow: Flow Matching for Structure Prediction of Metal-Organic FrameworksNeurIPS Workshop on AI for New Drug Modalities 2024
- NeurIPS WSChiplet Placement and Routing Optimization: A Novel Benchmark and Neural SolverNeurIPS Workshop on Machine Learning for Systems 2024
- NeurIPS WSLearning Diverse Attacks on Large Language Models for Robust Red-teaming and Safety TuningNeurIPS Workshop on Red Teaming GenAI 2024
- NeurIPSPessimistic Backward Policy for GFlowNetsAdvances in Neural Information Processing Systems 2024
2023
- NeurIPS WS OralRl4co: an Extensive Reinforcement Learning for Combinatorial Optimization BenchmarkNeurIPS Workshop on New Frontiers in Graph Learning 2023
- Appl. Intell.Temporal enhanced inductive graph knowledge tracingApplied Intelligence 2023
- Bayesian Exploration Imitation Learning-Based Contextual via Design Optimization Method of PAM-4-Based High-Speed Serial LinkIEEE Transactions on Electromagnetic Compatibility 2023
- Deep Reinforcement Learning-based Optimal and Fast Hybrid Equalizer Design Method for High Bandwidth Memory (HBM) ModuleIEEE Transactions on Components, Packaging and Manufacturing Technology 2023
- NeurIPSBootstrapped Training of Score-Conditioned Generator for Offline Design of Biological SequencesAdvances in Neural Information Processing Systems 2023
- ICMLMeta-SAGE: A Scale Meta-Learning Scheduled Adaptation with Guided Exploration for Large Scale Combinatorial OptimizationInternational Conference on Machine Learning 2023
- ICMLDevFormer: A Symmetric Transformer for Context-Aware Device PlacementInternational Conference on Machine Learning 2023
2022
- NeurIPS WSNeural Coarsening Process for Multi-level Graph Combinatorial OptimizationIn NeurIPS Workshop on New Frontiers in Graph Learning 2022
- Data-Efficient Machine Learning Method for Hardware Routing: Signal Integrity Demonstration to 2PDC and PCIe 6.0In DesignCon 2022
- Transformer Network-based Reinforcement Learning Method for Power Distribution Network (PDN) Optimization of High Bandwidth Memory (HBM)IEEE Transactions on Microwave Theory and Techniques 2022
- Thermal and Signal Integrity Co-Design and Verification of Embedded Cooling Structure with Thermal Transmission Line (ECS-TTL) for High Bandwidth Memory ModuleIEEE Transactions on Components, Packaging and Manufacturing Technology 2022
2021
- DesignCon Best paperNeural Language Model Enables Extremely Fast and Robust Routing on InterposerIn DesignCon 2021
- Reinforcement-Learning-Based Signal Integrity Optimization and Analysis of a Scalable 3-D X-Point Array StructureIEEE Transactions on Components, Packaging and Manufacturing Technology 2021
- Sequential Policy Network-based Optimal Passive Equalizer Design for an Arbitrary Channel of High Bandwidth Memory using Advantage Actor CriticIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- Signal Integrity Analysis of High Speed Channel considering Thermal DistributionIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- Deep Reinforcement Learning Framework for Optimal Decoupling Capacitor Placement on General PDN with an Arbitrary Probing PortIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- Crosstalk-included PAM-4 Worst Eye Diagram Estimation Method for High-speed Serial LinksIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- Deep Reinforcement Learning-based Pin Assignment Optimization of BGA Packages considering Signal Integrity with Graph RepresentationIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- PAM-4 based PCIe 6.0 Channel Design Optimization Method using Bayesian OptimizationIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
- Imitation Learning for Simultaneous Escape RoutingIn 2021 IEEE 30th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2021
2020
- Policy Gradient Reinforcement Learning-based Optimal Decoupling Capacitor Design Method for 2.5-D/3-D ICs using Transformer NetworkIn 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020
- Design and Analysis of Thermal Transmission Line based Embedded Cooling Structures for High Bandwidth Memory Module and 2.5D/3D ICsIn 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020
- Reinforcement Learning-based Auto-router considering Signal IntegrityIn 2020 IEEE 29th Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS) 2020
- Deep Neural Network-based Lumped Circuit Modeling using Impedance CurveIn 2020 IEEE Electrical Design of Advanced Packaging and Systems (EDAPS) 2020