Tianlong Chen
Orcid: 0000-0001-7774-8197Affiliations:
- University of North Carolina at Chapel Hill, Department of Computer Science, Chapel Hill, NC, USA
- Massachusetts Institute of Technology (MIT), Computer Science and Artificial Intelligence Laboratory (CSAIL), Cambridge, MA, USA (former)
- Harvard University, Department of Biomedical Informatics, Boston, MA, USA (former)
- University of Texas at Austin, TX, USA (PhD 2023)
According to our database1,
Tianlong Chen
authored at least 255 papers
between 2019 and 2025.
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Bibliography
2025
CoRR, May, 2025
IndustryEQA: Pushing the Frontiers of Embodied Question Answering in Industrial Scenarios.
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
CoRR, May, 2025
Occult: Optimizing Collaborative Communication across Experts for Accelerated Parallel MoE Training and Inference.
CoRR, May, 2025
GroverGPT-2: Simulating Grover's Algorithm via Chain-of-Thought Reasoning and Quantum-Native Tokenization.
CoRR, May, 2025
A Comprehensive Survey in LLM(-Agent) Full Stack Safety: Data, Training and Deployment.
CoRR, April, 2025
CoRR, April, 2025
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations.
CoRR, April, 2025
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations.
CoRR, April, 2025
CoRR, April, 2025
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment.
CoRR, April, 2025
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution.
CoRR, April, 2025
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks.
CoRR, April, 2025
CoRR, March, 2025
In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents.
CoRR, March, 2025
H3PIMAP: A Heterogeneity-Aware Multi-Objective DNN Mapping Framework on Electronic-Photonic Processing-in-Memory Architectures.
CoRR, March, 2025
You Only Debias Once: Towards Flexible Accuracy-Fairness Trade-offs at Inference Time.
CoRR, March, 2025
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning.
CoRR, March, 2025
GRNFormer: A Biologically-Guided Framework for Integrating Gene Regulatory Networks into RNA Foundation Models.
CoRR, March, 2025
NeuroSymAD: A Neuro-Symbolic Framework for Interpretable Alzheimer's Disease Diagnosis.
CoRR, March, 2025
CoRR, February, 2025
MedHallu: A Comprehensive Benchmark for Detecting Medical Hallucinations in Large Language Models.
CoRR, February, 2025
SCALE: Towards Collaborative Content Analysis in Social Science with Large Language Model Agents and Human Intervention.
CoRR, February, 2025
LucidAtlas$: Learning Uncertainty-Aware, Covariate-Disentangled, Individualized Atlas Representations.
CoRR, February, 2025
Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs.
CoRR, February, 2025
CoRR, January, 2025
Dialogue is Better Than Monologue: Instructing Medical LLMs via Strategical Conversations.
CoRR, January, 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.
CoRR, January, 2025
The Efficiency vs. Accuracy Trade-off: Optimizing RAG-Enhanced LLM Recommender Systems Using Multi-Head Early Exit.
CoRR, January, 2025
CoRR, January, 2025
A Survey on Model MoErging: Recycling and Routing Among Specialized Experts for Collaborative Learning.
Trans. Mach. Learn. Res., 2025
Word-Sequence Entropy: Towards uncertainty estimation in free-form medical question answering applications and beyond.
Eng. Appl. Artif. Intell., 2025
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
BPO: Towards Balanced Preference Optimization between Knowledge Breadth and Depth in Alignment.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
Layer-Level Self-Exposure and Patch: Affirmative Token Mitigation for Jailbreak Attack Defense.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
GuideLLM: Exploring LLM-Guided Conversation with Applications in Autobiography Interviewing.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025
<i>MerRec: </i> A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Adapt-∞: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Sparse Transfer Learning Accelerates and Enhances Certified Robustness: A Comprehensive Study.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Breaking the Resource Monopoly from Industries: Sustainable and Reliable LLM Serving by Recycling Outdated and Resource-Constrained GPUs.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
J. Comput. Sci. Technol., November, 2024
One is Not Enough: Parameter-Efficient Fine-Tuning With Multiplicative Sparse Factorization.
IEEE J. Sel. Top. Signal Process., September, 2024
Unlearning Sensitive Information in Multimodal LLMs: Benchmark and Attack-Defense Evaluation.
Trans. Mach. Learn. Res., 2024
Integrating Social Determinants of Health into Knowledge Graphs: Evaluating Prediction Bias and Fairness in Healthcare.
CoRR, 2024
Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering.
CoRR, 2024
HEXA-MoE: Efficient and Heterogeneous-aware MoE Acceleration with ZERO Computation Redundancy.
CoRR, 2024
Harnessing Your DRAM and SSD for Sustainable and Accessible LLM Inference with Mixed-Precision and Multi-level Caching.
CoRR, 2024
PortLLM: Personalizing Evolving Large Language Models with Training-Free and Portable Model Patches.
CoRR, 2024
CoRR, 2024
Leveraging Social Determinants of Health in Alzheimer's Research Using LLM-Augmented Literature Mining and Knowledge Graphs.
CoRR, 2024
Cut the Crap: An Economical Communication Pipeline for LLM-based Multi-Agent Systems.
CoRR, 2024
Knowledge-Driven Feature Selection and Engineering for Genotype Data with Large Language Models.
CoRR, 2024
(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork.
CoRR, 2024
SDoH-GPT: Using Large Language Models to Extract Social Determinants of Health (SDoH).
CoRR, 2024
Cross-Lingual Multi-Hop Knowledge Editing - Benchmarks, Analysis and a Simple Contrastive Learning based Approach.
CoRR, 2024
CoRR, 2024
Hybrid Quantum-Classical Scheduling for Accelerating Neural Network Training with Newton's Gradient Descent.
CoRR, 2024
CoRR, 2024
Aurora-M: The First Open Source Multilingual Language Model Red-teamed according to the U.S. Executive Order.
CoRR, 2024
CoRR, 2024
CoRR, 2024
The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative.
CoRR, 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization.
CoRR, 2024
Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.
CoRR, 2024
MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems.
CoRR, 2024
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 5th IEEE International Conference on Trust, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Flex-MoE: Modeling Arbitrary Modality Combination via the Flexible Mixture-of-Experts.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ReTA: Recursively Thinking Ahead to Improve the Strategic Reasoning of Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024
Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
DALK: Dynamic Co-Augmentation of LLMs and KG to answer Alzheimer's Disease Questions with Scientific Literature.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Mew: Multiplexed Immunofluorescence Image Analysis Through an Efficient Multiplex Network.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Contextualization Distillation from Large Language Model for Knowledge Graph Completion.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024
Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the 15th ACM International Conference on Bioinformatics, 2024
Sparsity-Guided Holistic Explanation for LLMs with Interpretable Inference-Time Intervention.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Int. J. Comput. Vis., October, 2023
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2023
Mach. Learn., March, 2023
Trans. Mach. Learn. Res., 2023
Graph Contrastive Learning: An Odyssey towards Generalizable, Scalable and Principled Representation Learning on Graphs.
IEEE Data Eng. Bull., 2023
The Counterattack of CNNs in Self-Supervised Learning: Larger Kernel Size might be All You Need.
CoRR, 2023
H<sub>2</sub>O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
CoRR, 2023
Attend Who is Weak: Pruning-assisted Medical Image Localization under Sophisticated and Implicit Imbalances.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
The Emergence of Essential Sparsity in Large Pre-trained Models: The Weights that Matter.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models.
Proceedings of the International Conference on Machine Learning, 2023
Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Scalable Perception-Action-Communication Loops With Convolutional and Graph Neural Networks.
IEEE Trans. Signal Inf. Process. over Networks, 2022
DANCE: DAta-Network Co-optimization for Efficient Segmentation Model Training and Inference.
ACM Trans. Design Autom. Electr. Syst., 2022
Trans. Mach. Learn. Res., 2022
Trans. Mach. Learn. Res., 2022
CoRR, 2022
M<sup>3</sup>ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
CoRR, 2022
CoRR, 2022
VAQF: Fully Automatic Software-hardware Co-design Framework for Low-bit Vision Transformer.
CoRR, 2022
Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Sandwich Batch Normalization: A Drop-In Replacement for Feature Distribution Heterogeneity.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets.
Proceedings of the Learning on Graphs Conference, 2022
Towards Robust Detection and Segmentation Using Vertical and Horizontal Adversarial Training.
Proceedings of the International Joint Conference on Neural Networks, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Bayesian Modeling and Uncertainty Quantification for Learning to Optimize: What, Why, and How.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, And No Retraining.
Proceedings of the Tenth International Conference on Learning Representations, 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Deep Ensembling with No Overhead for either Training or Testing: The All-Round Blessings of Dynamic Sparsity.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the International Conference on Automated Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR, 2021
Universality of Deep Neural Network Lottery Tickets: A Renormalization Group Perspective.
CoRR, 2021
FreeTickets: Accurate, Robust and Efficient Deep Ensemble by Training with Dynamic Sparsity.
CoRR, 2021
Ultra-Data-Efficient GAN Training: Drawing A Lottery Ticket First, Then Training It Toughly.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
You are caught stealing my winning lottery ticket! Making a lottery ticket claim its ownership.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
VGAI: End-to-End Learning of Vision-Based Decentralized Controllers for Robot Swarms.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
DynEHR: Dynamic adaptation of models with data heterogeneity in electronic health records.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
2020
PCAL: A Privacy-preserving Intelligent Credit Risk Modeling Framework Based on Adversarial Learning.
CoRR, 2020
CoRR, 2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Once-for-All Adversarial Training: In-Situ Tradeoff between Robustness and Accuracy for Free.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively.
Proceedings of the 8th International Conference on Learning Representations, 2020
Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference.
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Focus Longer to See Better: Recursively Refined Attention for Fine-Grained Image Classification.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Cross-Modal Person Search: A Coarse-to-Fine Framework using Bi-Directional Text-Image Matching.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019