Li Chen

Orcid: 0000-0002-4228-7885

Affiliations:
  • Zhongguancun Laboratory, Beijing, China
  • Hong Kong University of Science and Technology, Department of Electronic and Computer Engineering, Hong Kong (former)


According to our database1, Li Chen authored at least 92 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Synchronize Only the Immature Parameters: Communication-Efficient Federated Learning By Freezing Parameters Adaptively.
IEEE Trans. Parallel Distributed Syst., July, 2024

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Slim and Fast: Low-Overhead Container Overlay Network With Fast Connection Setup.
IEEE Trans. Cloud Comput., 2024

Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.
CoRR, 2024

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation.
CoRR, 2024

Pistis-RAG: A Scalable Cascading Framework Towards Trustworthy Retrieval-Augmented Generation.
CoRR, 2024

Learning Manipulation by Predicting Interaction.
CoRR, 2024

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.
CoRR, 2024

RedTE: Mitigating Subsecond Traffic Bursts with Real-time and Distributed Traffic Engineering.
Proceedings of the ACM SIGCOMM 2024 Conference, 2024

Understanding Route Origin Validation (ROV) Deployment in the Real World and Why MANRS Action 1 Is Not Followed.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fully Sparse 3D Occupancy Prediction.
Proceedings of the Computer Vision - ECCV 2024, 2024

Generalized Predictive Model for Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

UniSAV: A Unified Framework for Internet-Scale Source Address Validation.
Proceedings of the 2024 Applied Networking Research Workshop, 2024

2023
Fast, Scalable and Robust Centralized Routing for Data Center Networks.
IEEE/ACM Trans. Netw., December, 2023

Cross-Graph Embedding With Trainable Proximity for Graph Alignment.
IEEE Trans. Knowl. Data Eng., December, 2023

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.
IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

GIFT: Toward Accurate and Efficient Federated Learning With Gradient-Instructed Frequency Tuning.
IEEE J. Sel. Areas Commun., April, 2023

SSA: Microsecond-Level Clock Synchronization Based on Machine Learning for IoT Devices.
IEEE Trans. Instrum. Meas., 2023

DriveLM: Driving with Graph Visual Question Answering.
CoRR, 2023

LanguageMPC: Large Language Models as Decision Makers for Autonomous Driving.
CoRR, 2023

An Empirical Study of NetOps Capability of Pre-Trained Large Language Models.
CoRR, 2023

End-to-end Autonomous Driving: Challenges and Frontiers.
CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.
CoRR, 2023

Topology Reasoning for Driving Scenes.
CoRR, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.
CoRR, 2023

Seeing the Invisible: Auditing eBPF Programs in Hypervisor with HyperBee.
Proceedings of the 1st Workshop on eBPF and Kernel Extensions, 2023

DONS: Fast and Affordable Discrete Event Network Simulation with Automatic Parallelization.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

Demo: NetVision: Efficient Visualization Front-End for Packet-level Discrete-Event Network Simulation.
Proceedings of the ACM SIGCOMM 2023 Conference, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scene as Occupancy.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Planning-oriented Autonomous Driving.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

ABC: Automatic Bottom-Up Construction of Configuration Knowledge Base for Multi-Vendor Networks.
Proceedings of the 5th IEEE International Conference on Cognitive Machine Intelligence, 2023

2022
Goal-oriented Autonomous Driving.
CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.
CoRR, 2022

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.
CoRR, 2022

Tail Quantile Estimation for Non-Preemptive Priority Queues.
Proceedings of the Winter Simulation Conference, 2022

SOTER: Guarding Black-box Inference for General Neural Networks at the Edge.
Proceedings of the 2022 USENIX Annual Technical Conference, 2022

DeepQueueNet: towards scalable and generalized network performance estimation with packet-level visibility.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Software-defined network assimilation: bridging the last mile towards centralized network configuration management with NAssim.
Proceedings of the SIGCOMM '22: ACM SIGCOMM 2022 Conference, Amsterdam, The Netherlands, August 22, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CRONUS: Fault-isolated, Secure and High-performance Heterogeneous Computing for Trusted Execution Environment.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Cutting Tail Latency in Commodity Datacenters with Cloudburst.
Proceedings of the IEEE INFOCOM 2022, 2022

XTree: Traversal-Based Partitioning for Extreme-Scale Graph Processing on Supercomputers.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.
Proceedings of the Computer Vision - ECCV 2022, 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.
Proceedings of the Conference on Robot Learning, 2022

NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism.
Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021
Optimizing Tail Latency in Commodity Datacenters using Forward Error Correction.
CoRR, 2021

A Two-Step Fitting Approach of Batch Markovian Arrival Processes for Teletraffic Data.
Proceedings of the Performance Evaluation Methodologies and Tools, 2021

Bidl: A High-throughput, Low-latency Permissioned Blockchain Framework for Datacenter Networks.
Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

LightGuardian: A Full-Visibility, Lightweight, In-band Telemetry System Using Sketchlets.
Proceedings of the 18th USENIX Symposium on Networked Systems Design and Implementation, 2021

Cluster-Reduce: Compressing Sketches for Distributed Data Streams.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Primus: Fast and Robust Centralized Routing for Large-scale Data Center Networks.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

Communication-Efficient Federated Learning with Adaptive Parameter Freezing.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

A MAP-based Performance Analysis on 5G-powered Cloud VR Streaming.
Proceedings of the ICC 2021, 2021

Mathematical Model of Scheduler with Semi-Markov Input and Bandwidth Sharing Discipline.
Proceedings of the International Conference on Information Technology, 2021

2020
Incorporating Intra-flow Dependencies and Inter-flow Correlations for Traffic Matrix Prediction.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Automated Traffic Engineering in SDWAN: Beyond Reinforcement Learning.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Predicting Traffic Demand Matrix by Considering Inter-flow Correlations.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2018
Programmable Switch as a Parallel Computing Device.
CoRR, 2018

AuTO: scaling deep reinforcement learning for datacenter-scale automatic traffic optimization.
Proceedings of the 2018 Conference of the ACM Special Interest Group on Data Communication, 2018

PowerMan: An Out-of-Band Management Network for Datacenters Using Power Line Communication.
Proceedings of the 15th USENIX Symposium on Networked Systems Design and Implementation, 2018

2017
PIAS: Practical Information-Agnostic Flow Scheduling for Commodity Data Centers.
IEEE/ACM Trans. Netw., 2017

Towards Zero Copy Dataflows using RDMA.
Proceedings of the Posters and Demos Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Enabling Wide-Spread Communications on Optical Fabric with MegaSwitch.
Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017

2016
CODA: Toward Automatically Identifying and Scheduling Coflows in the Dark.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Scheduling Mix-flows in Commodity Datacenters with Karuna.
Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Enabling ECN in Multi-Service Multi-Queue Data Centers.
Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

Online flow size prediction for improved network routing.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

Enabling ECN over Generic Packet Scheduling.
Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016

2015
Information-Agnostic Flow Scheduling for Commodity Data Centers.
Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation, 2015

Super-Low Frequency electromagnetic noise processing system based on adaptive filtering.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

FLOWPROPHET: Generic and Accurate Traffic Prediction for Data-Parallel Cluster Computing.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014
Analysis and design of passive super low frequency detection system.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Hyperspectral remote sensing for coal-bed methane exploration.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Façade reconstruction from oblique areal images.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

PIAS: Practical Information-Agnostic Flow Scheduling for Data Center Networks.
Proceedings of the 13th ACM Workshop on Hot Topics in Networks, 2014

BitBill: Scalable, Robust, Verifiable Peer-to-Peer Billing for Cloud Computing.
Proceedings of the 6th USENIX Workshop on Hot Topics in Cloud Computing, 2014

2013
SALT: Sensing enAbled Localization and Tracking for geolocation database in TV white space.
Proceedings of the 2013 9th International Wireless Communications and Mobile Computing Conference, 2013

Coal-bed Methane reservoir identification using the natural source Super-Low Frequency remote sensing.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Automatic building extraction from very high resolution satellite imagery using line segment detector.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Integrating remote sensing and Super-Low Frequency electromagnetic technology in exploration of buried faults.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

A method on Coalbed Methane gas content monitoring based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

The quantitative prediction of Coalbed Methane gas content based on super-low frequency electromagnetic technology.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

2012
Energy-efficient cooperative sensing scheduling for heterogeneous channel access in Cognitive Radio.
Proceedings of the 2012 Proceedings IEEE INFOCOM Workshops, 2012

Remote sensing information of mineralizing alteration extraction methods.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012


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