US UIUCSiebel School of Computing and Data Science Dec 1
Studies natural language processing, including information extraction, knowledge-enhanced language models and multimedia multilingual understanding.
2026 Advancing Creative Physical Intelligence in Large Multimodal Models NeurIPS 2026 Agentic Reasoning for Large Language Models: A Survey TMLR 114 T1258 papers17 members135 alumniUS UIUCSchool of Information Sciences Dec 1
Studies heterogeneous machine learning, active learning, neural bandits and self-supervised learning, with applications in security, healthcare and agriculture.
2026 AdaFuse: Adaptive Ensemble Decoding for Large Language Models ACL 2026 Auto-regressive In-context Demonstration Selection ICML 114 T1141 papers26 members41 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies data mining and text mining, including knowledge graph construction, information network analysis and mining with large language models.
2026 Condition-Gated Reasoning for Context-Dependent Biomedical Question Answering KDD 2026 CoRank: LLM-Based Compact Reranking with Document Features for Scientific Retrieval KDD 95 T1127 papers14 members151 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies large-scale data mining and machine learning on graphs, including graph neural networks and network analysis.
2026 A Hands-on Tutorial for Diffusion Language Models with dLLM KDD 2026 Certified Defense on the Fairness of Graph Neural Networks KDD 92 T1123 papers14 members28 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies machine learning theory and algorithms, including optimization, reinforcement learning and alignment of large language models.
2026 "A Sharp KL-Convergence Analysis for Diffusion Models under Minimal Assumptions ICLR 2026 "Almost linear convergence under minimal score assumptions: Quantized transition diffusion COLT 89 T1104 papers13 members36 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Bo Li Abbasi Associate Professor Studies trustworthy machine learning, including adversarial robustness, privacy and safety of AI systems.
2026 Any-Depth Alignment: Unlocking Innate Safety Alignment of LLMs to Any-Depth ICLR 2026 ARMs: Adaptive Red-Teaming Agent against Multimodal Models with Plug-and-Play Attacks ICLR 61 T1102 papers11 members21 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Han Zhao Assistant Professor Studies trustworthy machine learning, including fairness, domain adaptation and alignment of large language models.
2026 ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control ICML 2026 Can VLMs Reason Robustly? A Neuro-Symbolic Investigation TMLR 50 T161 papers7 members14 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies computer vision and machine learning, including open-world perception, few-shot learning and 3D and video generation.
2025 3DGS-Drag: Dragging Gaussians for Intuitive Point-Based 3D Editing ICLR 2025 Aligning Generative Denoising with Discriminative Objectives Unleashes Diffusion for Visual Perception ICLR 50 T156 papers13 membersUS UIUCSiebel School of Computing and Data Science Dec 1
Develops AI for healthcare, including deep learning on electronic health records and clinical trial optimization.
2026 Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering ACL 2026 ConfHit: Conformal Generative Design with Oracle-Free Guarantees ICLR 49 T171 papersGroup size not listed · 0 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies computer vision and machine learning, including egocentric video understanding and behavioral imaging for health.
2026 Decoding Children's Gait Behavior ECCV 2026 DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing ICLR 44 T163 papers16 members12 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies 3D computer vision and simulation for robotics and autonomous driving, including neural scene reconstruction.
2026 Boba: Batched Simulation for Physics-Based Gaussian Digital Twins ECCV 2026 FreeOrbit4D: Training-free Arbitrary Camera Redirection for Monocular Videos via Foreground-Complete 4D Reconstruction SIGGRAPH 41 T149 papers11 members42 alumniUS UIUCElectrical and Computer Engineering Dec 1
Studies computer architecture and systems for AI, including energy-efficient processor, memory and network architectures for machine learning.
2026 AMG: AMX-GPU cooperative acceleration of billion-scale ANNS via GEMM reformulation MICRO 2026 ARC: adaptive reconfigurable CXL hotness monitoring MICRO 40 T183 papers25 members22 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Hao Peng Assistant Professor Studies natural language processing and large language models, including efficient architectures and reasoning.
2026 Countdown-Code: A Testbed for Studying the Emergence and Generalization of Reward Hacking in RLVR EMNLP 2026 Do We Need Adam? Surprisingly Strong and Sparse Reinforcement Learning with SGD in LLMs ICML 39 T161 papers11 membersUS UIUCElectrical and Computer Engineering Dec 1
Studies computer vision and machine learning, including generative models, structured prediction and multimodal learning.
2026 FlowMoP: Stochastic Multi-Person Prediction NeurIPS 2026 Latent Wasserstein Adversarial Imitation Learning ICLR 38 T138 papers12 members13 alumniUS UIUCElectrical and Computer Engineering Dec 1
Studies speech recognition and audio signal processing, including acoustic phonetics and speech technology for under-resourced languages.
2026 Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding ICML 2026 In-Sync: Adaptation of Speech Aware Large Language Models for ASR with Word Level Timestamp Predictions ICASSP 38 T170 papers8 members79 alumniUS UIUCElectrical and Computer Engineering Dec 1
Studies trustworthy machine learning, including formal verification of neural networks and AI safety and robustness.
2026 BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning ICLR 2026 DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning under Uncertainty ICLR 34 T137 papers14 members4 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies efficient machine learning systems, including model compression and training and inference on parallel hardware.
2026 A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Task ACL 2026 AutoSP: Unlocking Long-Context LLM Training Via Compiler-Based Sequence Parallelism ICLR 32 T152 papers15 members10 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Studies trustworthy and efficient AI, including formal verification of neural networks and systems for machine learning.
2026 Certifying Reading Comprehension in Large Language Models AISTATS 2026 Corruption Robust Thompson Sampling for Gaussian Bandits AISTATS 31 T163 papers11 members14 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Nan Jiang Associate Professor Studies reinforcement learning theory, including sample-efficient exploration and offline policy evaluation.
2026 A Unifying View of Coverage in Linear Off-Policy Evaluation ICLR 2026 Beyond Pessimism: Offline Learning in KL-regularized Games NeurIPS 31 T134 papers6 members14 alumniUS UIUCSiebel School of Computing and Data Science Dec 1
Tarek Abdelzaher Sohaib and Sara Abbasi Professor and Willett Faculty Scholar Studies social sensing, machine learning for IoT and cyber-physical systems, and intelligent real-time sensing systems.
2026 Activation Steering for LLM Alignment via a Unified ODE-Based Framework ICLR 2026 Dywave: Event-Aligned Dynamic Tokenization for ICML 30 T185 papers11 members28 alumni