Jianguo Li
35 papers · 2006–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (11) πΊοΈ Taxonomy Completionist (10) π Interdisciplinary Bridge π Academic Marathon (19)
π
Academic Marathon
(19)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(7)
π§¬
Topic Evolution
π
Triple Crown
π€
Dynamic Duo
(12)
π
Grand Slam
π₯
Unstoppable
(9)
ποΈ
Keyword Collector
(119)
π
Century Club
(32)
π
Trend Setter
β‘
Prolific Year
(8)
π
Conference Pioneer
Conferences
ACL (8)
CVPR (7)
ICLR (5)
ICCV (3)
NIPS (3)
AAAI (2)
EMNLP (2)
IJCAI (2)
COLING (1)
ECCV (1)
ICML (1)
Top co-authors
Keywords
large language model
(4)
graph neural network
(3)
object detection
(3)
text generation
(2)
transfer learning
(2)
knowledge distillation
(2)
contrastive learning
(2)
time series forecasting
(2)
self-supervised learning
(2)
variational inference
(2)
model compression
(2)
attention mechanism
(2)
language model
(2)
logistic regression
(1)
text classification
(1)
adversarial learning
(1)
domain adaptation
(1)
zero-shot learning
(1)
representation learning
(1)
few-shot learning
(1)
Papers
CreditDecoding: Accelerating Parallel Decoding in Diffusion Large Language Models with Trace Credit
ACL 2026
Every Token Counts: Generalizing 16M Ultra-Long Context in Large Language Models
ACL 2026
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
AAAI 2026
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
EMNLP 2025
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
ICLR 2025
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
ACL 2025
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
ICLR 2025
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
ICLR 2024
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
ICLR 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
ECCV 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
NIPS 2024
CoCA: Fusing Position Embedding with Collinear Constrained Attention in Transformers for Long Context Window Extending
ACL 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
ICML 2024
Neural Lad: A Neural Latent Dynamics Framework for Times Series Modeling
NIPS 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NIPS 2023
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification
ACL 2023
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting
IJCAI 2022
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
ICLR 2022
Variational Pedestrian Detection
CVPR 2021
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
Composite Binary Decomposition Networks
AAAI 2019
Towards Accurate One-Stage Object Detection With AP-Loss
CVPR 2019
Learning Visual Knowledge Memory Networks for Visual Question Answering
CVPR 2018
Boosting Adversarial Attacks With Momentum
CVPR 2018
Learning Efficient Convolutional Networks Through Network Slimming
ICCV 2017
Weakly Supervised Dense Video Captioning
CVPR 2017
DSOD: Learning Deeply Supervised Object Detectors From Scratch
ICCV 2017
BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera
ICCV 2017
Optimal Bayesian Hashing for Efficient Face Recognition
IJCAI 2015
Learning SURF Cascade for Fast and Accurate Object Detection
CVPR 2013
Which Are the Best Features for Automatic Verb Classification
ACL 2008
Parsing and Subcategorization Data
ACL 2006
Parsing and Subcategorization Data
COLING 2006