Jiachen Li
46 papers · 2019–2026 · 14 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Conference Polyglot (14) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(84)
π
Grand Slam
π
Keyword Champion
(2)
π
Conference Pioneer
π₯
Unstoppable
(7)
π
Century Club
(44)
β
The Questioner
ποΈ
Keyword Collector
(201)
β‘
Prolific Year
(11)
Conferences
CVPR (9)
NIPS (6)
ICCV (5)
EMNLP (4)
ICLR (4)
WACV (4)
AAAI (3)
NAACL (3)
ACL (2)
ICML (2)
CORL (1)
ECCV (1)
IJCAI (1)
RSS (1)
Top co-authors
Keywords
trajectory prediction
(7)
large language model
(6)
autonomous driving
(5)
multimodal learning
(4)
multi-agent system
(4)
instruction tuning
(3)
diffusion model
(3)
motion forecasting
(3)
scene understanding
(3)
semantic segmentation
(3)
pose estimation
(3)
autonomous vehicle
(2)
instance segmentation
(2)
text-to-video generation
(2)
multi-task learning
(2)
video generation
(2)
vision transformer
(2)
uncertainty quantification
(2)
unsupervised learning
(2)
attention mechanism
(2)
Papers
Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification
AAAI 2026
TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution
AAAI 2026
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos
ICLR 2025
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
ICCV 2025
Uncertainty-Aware Diffusion-Guided Refinement of 3D Scenes
ICCV 2025
Towards Generalizable Safety in Crowd Navigation via Conformal Uncertainty Handling
CORL 2025
TC-Bench: Benchmarking Temporal Compositionality in Conditional Video Generation
ACL 2025
Self-supervised Multi-future Occupancy Forecasting for Autonomous Driving
RSS 2025
Make Good Use of GujiRoBERTa to Identify Entities in Ancient Chinese
NAACL 2025
Prior-free 3D Object Tracking
CVPR 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
CVPR 2025
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search
EMNLP 2025
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models
EMNLP 2025
STAMP: Scalable Task- And Model-agnostic Collaborative Perception
ICLR 2025
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design
ICLR 2025
UniOcc: A Unified Benchmark for Occupancy Forecasting and Prediction in Autonomous Driving
ICCV 2025
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-Experts
NIPS 2024
VMFormer: End-to-End Video Matting With Transformer
WACV 2024
Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning
WACV 2024
Language Model Adaption for Reinforcement Learning with Natural Language Action Space
ACL 2024
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment
EMNLP 2024
Video Instance Matting
WACV 2024
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
EMNLP 2024
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning
ICML 2024
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety
NAACL 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling
NAACL 2024
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback
NIPS 2024
DRAMA: Joint Risk Localization and Captioning in Driving
WACV 2023
OneFormer: One Transformer To Rule Universal Image Segmentation
CVPR 2023
Neighborhood Attention Transformer
CVPR 2023
Causal Balancing for Domain Generalization
ICLR 2023
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators
ICML 2023
Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint
CVPR 2022
Interaction Modeling with Multiplex Attention
NIPS 2022
Point-to-Box Network for Accurate Object Detection via Single Point Supervision
ECCV 2022
Learning Physical Dynamics with Subequivariant Graph Neural Networks
NIPS 2022
Multi-Objective Diverse Human Motion Prediction With Knowledge Distillation
CVPR 2022
BCOT: A Markerless High-Precision 3D Object Tracking Benchmark
CVPR 2022
RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting
ICCV 2021
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
CVPR 2021
LOKI: Long Term and Key Intentions for Trajectory Prediction
ICCV 2021
A Speech-to-Knowledge-Graph Construction System
IJCAI 2020
EvolveGraph: Multi-Agent Trajectory Prediction with Dynamic Relational Reasoning
NIPS 2020
Multi-task Batch Reinforcement Learning with Metric Learning
NIPS 2020
Text Guided Person Image Synthesis
CVPR 2019
Weakly Supervised Scene Parsing with Point-Based Distance Metric Learning
AAAI 2019